{
  "generated_at": "2026-09-07T07:24:14.059959+00:00",
  "source": {
    "documents": 154,
    "corpus": "RAG-DOCUMENTS.jsonl"
  },
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    {
      "project": "0-VOLUMEN",
      "title": "0-VOLUMEN — Quant Trading Suite",
      "source": "0-REPLIT-MD-EXPORT/0-VOLUMEN/replit.md",
      "cluster": "Fintech-Trading",
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      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "Tailwind CSS",
        "Canvas/Chart-JS"
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      "tags": [
        "quant",
        "trading",
        "indikatoren",
        "ml",
        "optionen",
        "portfolio",
        "static",
        "lernwerkzeug"
      ],
      "overview": "Eine kuratierte Sammlung von 29 eigenstaendigen, statischen HTML-Prototypen zu Volumen-Indikatoren, Regime-/ML-Erkennung, Optionspreismodellen und einem mehrstufigen Portfolio/Index-Engine-Workflow. Ein zentrales `index.html`-Portal verlinkt alle Module; ein Flagship `MEGA-VOLUME.html` konsolidiert die 19 Volumen-/Regime-/Options-Module in einer gemeinsamen Sidebar-App. Rein clientseitige Lern-/Demo-Tools ohne echte Marktdaten-API.",
      "security_count": 0,
      "readiness": {
        "project": "0-VOLUMEN",
        "title": "0-VOLUMEN — Quant Trading Suite",
        "source": "0-REPLIT-MD-EXPORT/0-VOLUMEN/replit.md",
        "score": 67,
        "grade": "C",
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          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
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          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
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            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "0-VOLUMEN",
        "title": "0-VOLUMEN — Quant Trading Suite",
        "source": "0-REPLIT-MD-EXPORT/0-VOLUMEN/replit.md",
        "score": 73,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
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          {
            "name": "Risk posture",
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            "evidence": "Masked security findings and documentation warnings"
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          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
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        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "1agames",
      "title": "1agames — NEURAL Games Collection",
      "source": "0-REPLIT-MD-EXPORT/1agames/replit.md",
      "cluster": "Games",
      "status": "production-ready",
      "rebuild_grade": "C",
      "tech_stack": [
        "Vanilla HTML",
        "CSS",
        "JavaScript"
      ],
      "tags": [
        "games",
        "arcade",
        "boardgames",
        "html5",
        "static",
        "neural-branding",
        "fintech-crossover",
        "cyberpunk"
      ],
      "overview": "Eine Sammlung von 49 eigenstaendigen HTML-Spielen/-Demos unter durchgaengigem \"NEURAL\"-Branding (cyberpunk/terminal-artig). Jede Datei ist ein komplett unabhaengiges Spiel ohne gemeinsames Framework; verbunden nur ueber `NEURAL-GAMES.html` als Hub. Enthaelt neben klassischen Brett-/Arcade-Spielen auch zwei Fintech-Crossover-Titel, die die Naehe zum Genitus/DOMVS-AVREA-Oekosystem des Autors zeigen.",
      "security_count": 0,
      "readiness": {
        "project": "1agames",
        "title": "1agames — NEURAL Games Collection",
        "source": "0-REPLIT-MD-EXPORT/1agames/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "1agames",
        "title": "1agames — NEURAL Games Collection",
        "source": "0-REPLIT-MD-EXPORT/1agames/replit.md",
        "score": 71,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "agency",
      "title": "Genitus Inc. - AI Agency Website (agency)",
      "source": "0-REPLIT-MD-EXPORT/agency/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "Tailwind CDN",
        "Vanilla JS"
      ],
      "tags": [
        "landing-page",
        "ai-agency",
        "lead-generation",
        "bilingual",
        "calendly",
        "genitus"
      ],
      "overview": "Bilinguale statische AI-Agentur-Website fuer Genitus Inc. mit zwei Vollversionen: deutsche `index.html` (Navy-Blue & Gold, Inter-Font) und englische `english.html` (Dark Mode, Orbitron-Font, Gold & Cyan). Optimiert fuer High-Ticket-Conversion mit klaren CTAs und KI-generierten Bildern von Menschen, die von KI profitieren.",
      "security_count": 0,
      "readiness": {
        "project": "agency",
        "title": "Genitus Inc. - AI Agency Website (agency)",
        "source": "0-REPLIT-MD-EXPORT/agency/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Python",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "agency",
        "title": "Genitus Inc. - AI Agency Website (agency)",
        "source": "0-REPLIT-MD-EXPORT/agency/replit.md",
        "score": 68,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 96,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "AIBondIntelligence",
      "title": "AIBondIntelligence — Genitus Inc. AI/Crypto Bonds Platform",
      "source": "0-REPLIT-MD-EXPORT/AIBondIntelligence/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "TypeScript",
        "Vite",
        "Express",
        "OpenAI GPT-4o",
        "Zod"
      ],
      "tags": [
        "landing-page",
        "bonds",
        "crypto",
        "ai-image-generation",
        "react",
        "express",
        "marketing",
        "genitus"
      ],
      "overview": "Marketing-/Investor-Landingpage-Projekt fuer \"Genitus Inc.\" (Marke Domvs Avrea O.P.N), das institutionelle Produkte \"AI Bond Alpha\", \"Crypto Bond Prime\" und \"Equity Bond Select\" bewirbt. Enthaelt mehrere Landingpage-Varianten (Fund-Performance-Charts, Profit-Participation-Zertifikate, eine eigenstaendige Standalone-Version) plus einen kleinen Express-Server mit KI-Bildgenerierung fuer Bond-Illustrationen.",
      "security_count": 0,
      "readiness": {
        "project": "AIBondIntelligence",
        "title": "AIBondIntelligence — Genitus Inc. AI/Crypto Bonds Platform",
        "source": "0-REPLIT-MD-EXPORT/AIBondIntelligence/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Netlify",
          "Node.js",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "AIBondIntelligence",
        "title": "AIBondIntelligence — Genitus Inc. AI/Crypto Bonds Platform",
        "source": "0-REPLIT-MD-EXPORT/AIBondIntelligence/replit.md",
        "score": 73,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "AIInvestmentAnalyzer",
      "title": "AIInvestmentAnalyzer - LeDash AI Investment Dashboard",
      "source": "0-REPLIT-MD-EXPORT/AIInvestmentAnalyzer/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "TypeScript",
        "Vite",
        "Node.js",
        "Express",
        "Google Charts",
        "EOD Historical Data API"
      ],
      "tags": [
        "investment-dashboard",
        "baskets",
        "google-charts",
        "mock-data",
        "crypto",
        "dax-aktien",
        "genussschein",
        "react-vite",
        "eod-api"
      ],
      "overview": "LeDash ist ein Investment-Dashboard zur Performance-Visualisierung KI-verwalteter Anlagekörbe (\"Baskets\") aus Krypto, DAX-Aktien, Indizes und Einzeltiteln. Es existieren zwei parallele Frontends mit unterschiedlichem Branding: ein React/Vite-Client unter dem Namen \"DOMVS AVREA O.P.N - Genussschein Tracker\" und eine eigenständige statische Seite `LeDash.html` unter dem Namen \"LeDash - AI Investment Dashboard\". Kernidee: mehrere vordefinierte Fonds/Baskets werden als Flächendiagramme (Google Charts) mit prozentualer Wertentwicklung seit Jahresbeginn dargestellt.",
      "security_count": 0,
      "readiness": {
        "project": "AIInvestmentAnalyzer",
        "title": "AIInvestmentAnalyzer - LeDash AI Investment Dashboard",
        "source": "0-REPLIT-MD-EXPORT/AIInvestmentAnalyzer/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "Express",
          "Google Charts",
          "JavaScript",
          "Node.js",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "AIInvestmentAnalyzer",
        "title": "AIInvestmentAnalyzer - LeDash AI Investment Dashboard",
        "source": "0-REPLIT-MD-EXPORT/AIInvestmentAnalyzer/replit.md",
        "score": 86,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "10 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 10,
        "security_count": 0
      }
    },
    {
      "project": "AILanguageExplorer",
      "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
      "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "PostgreSQL",
        "Drizzle ORM",
        "OpenAI GPT-4o",
        "Replit Auth"
      ],
      "tags": [
        "ki-assistent",
        "crm",
        "kalender",
        "kontakte",
        "chat",
        "corporate",
        "react"
      ],
      "overview": "Full-Stack-TypeScript-App: ein KI-Assistent, der Kalender, Kontakte und Websuche verwaltet, mit professionellem dunklem Corporate-UI unter der Marke \"Genius Inc Corporate Assistant\". Kombiniert Chat-Interface, CRM-artige Kontaktverwaltung, Kalendersynchronisation und OpenAI-gestützte Intent-Analyse.",
      "security_count": 0,
      "readiness": {
        "project": "AILanguageExplorer",
        "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
        "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Clerk",
          "Drizzle",
          "Express",
          "JavaScript",
          "Node.js",
          "PostgreSQL",
          "React",
          "Replit Auth",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "AILanguageExplorer",
        "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
        "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md",
        "score": 68,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "11 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 11,
        "security_count": 0
      }
    },
    {
      "project": "AiSketchCoder",
      "title": "AiSketchCoder — Drawing App with Code Generation",
      "source": "0-REPLIT-MD-EXPORT/AiSketchCoder/replit.md",
      "cluster": "Sonstiges",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "TypeScript",
        "Express",
        "PostgreSQL",
        "Drizzle"
      ],
      "tags": [
        "drawing-app",
        "canvas",
        "code-generation-stub",
        "react",
        "express",
        "creative-tool"
      ],
      "overview": "React-basierte Zeichen-App mit geplanter (aber nicht implementierter) Code-Generierung aus Zeichnungen. Bietet ein Canvas mit Zeichenwerkzeugen (Pinsel, Stift, Radierer, Rechteck, Kreis, Text), ein Tool-Panel und ein Code-Generation-Panel, das aktuell nur ein leeres Textfeld fuer Copy/Download bereitstellt.",
      "security_count": 0,
      "readiness": {
        "project": "AiSketchCoder",
        "title": "AiSketchCoder — Drawing App with Code Generation",
        "source": "0-REPLIT-MD-EXPORT/AiSketchCoder/replit.md",
        "score": 78,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "JavaScript",
          "Node.js",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "AiSketchCoder",
        "title": "AiSketchCoder — Drawing App with Code Generation",
        "source": "0-REPLIT-MD-EXPORT/AiSketchCoder/replit.md",
        "score": 76,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "9 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 9,
        "security_count": 0
      }
    },
    {
      "project": "aldi",
      "title": "aldi — ALDI MEGA-PLATTFORM Project",
      "source": "0-REPLIT-MD-EXPORT/aldi/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS/JS",
        "Bootstrap",
        "Chart.js/D3.js",
        "iframe-slideshow"
      ],
      "tags": [
        "fintech-concept",
        "slideshow",
        "presentation",
        "pricing-engine",
        "options-pricing",
        "prototype-suite"
      ],
      "overview": "Visionaeres FinTech-Konzept, das reale Supermarkt-Assets (Lebensmittel) in den Finanzmarkt integriert - entwickelt als Prototyp fuer eine Infosys-Praesentation. `index.html` ist ein hochentwickeltes Fullscreen-Slideshow-Dashboard, das mehrere Einzel-Prototypen (Pricing-Engine, Trading-Hub, Optionspreis-Modell) zu einer Praesentation vereint.",
      "security_count": 0,
      "readiness": {
        "project": "aldi",
        "title": "aldi — ALDI MEGA-PLATTFORM Project",
        "source": "0-REPLIT-MD-EXPORT/aldi/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Chart.js",
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "aldi",
        "title": "aldi — ALDI MEGA-PLATTFORM Project",
        "source": "0-REPLIT-MD-EXPORT/aldi/replit.md",
        "score": 66,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 98,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 83,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "ANGELUS",
      "title": "ANGELUS · Neural Liturgical Bell",
      "source": "0-REPLIT-MD-EXPORT/ANGELUS/replit.md",
      "cluster": "Religioes",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML",
        "CSS",
        "Python http.server"
      ],
      "tags": [
        "catholic",
        "prayer",
        "bell",
        "static",
        "orbitron",
        "liturgical",
        "angelus",
        "pwa-ish"
      ],
      "overview": "Eine einzelne, in sich geschlossene Web-App \"Angelus Domini · Neural Liturgical Bell\" — ein digitales katholisches Gebetsglocken-Tool fuer Angelus und Stundengebet, betitelt \"SYS · LITURGICAL CORE v2.6\" mit Untertitel \"Neural Bell · Angelus & Stundengebet\". Zeigt lokale Uhrzeit/Datum, Online/Offline-Status und ein \"Bell Control\"-Panel.",
      "security_count": 0,
      "readiness": {
        "project": "ANGELUS",
        "title": "ANGELUS · Neural Liturgical Bell",
        "source": "0-REPLIT-MD-EXPORT/ANGELUS/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Python",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "ANGELUS",
        "title": "ANGELUS · Neural Liturgical Bell",
        "source": "0-REPLIT-MD-EXPORT/ANGELUS/replit.md",
        "score": 66,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "anwalt",
      "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
      "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML/CSS",
        "Python (http.server/SimpleHTTPRequestHandler)",
        "kein Framework"
      ],
      "tags": [
        "legal-templates",
        "contracts",
        "nda",
        "gmbh",
        "c-corp",
        "dsgvo",
        "multi-jurisdiction",
        "static-site",
        "rechtsvorlagen",
        "startup-recht"
      ],
      "overview": "Eine statische Bibliothek von 114 mehrsprachigen Rechtsdokument-Vorlagen (NDA, Arbeitsverträge, Startup/Equity, SaaS, IP, Datenschutz, Immobilien, Finance, Immigration u.a.) für die Jurisdiktionen Deutschland (GmbH), USA (C-Corp/Delaware), Kroatien (D.O.O.), Frankreich (SARL) und EU-Recht. Jede Vorlage ist eine eigenständige HTML-Seite mit `[Platzhalter]`-Feldern zum Ausfüllen, echten Gesetzeszitaten (BGB, GmbHG, DSGVO, USC, IRC, MarkenG etc.) und Print-Funktion. Ausgeliefert wird alles rein statisch aus `public/` über einen simplen Python-Dateiserver — es gibt **keinen** Flask-Server, obwohl ...",
      "security_count": 1,
      "readiness": {
        "project": "anwalt",
        "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
        "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Cloudflare",
          "JavaScript",
          "Netlify",
          "Next.js",
          "Node.js",
          "Python",
          "Vercel"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "anwalt",
        "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
        "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md",
        "score": 70,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "9 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 9,
        "security_count": 1
      }
    },
    {
      "project": "Auction-Option",
      "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
      "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML",
        "CSS",
        "Vanilla JS",
        "React 18 (CDN)",
        "Babel Standalone",
        "Tailwind CSS",
        "Chart.js"
      ],
      "tags": [
        "xetra",
        "auktionssimulator",
        "orderbook",
        "genussschein",
        "optionsrechner",
        "black-scholes",
        "greeks",
        "domvs-avrea",
        "simulation"
      ],
      "overview": "Eine Sammlung aus zwei thematisch getrennten, aber im selben Repo lebenden Tool-Familien: (1) ein professioneller **XETRA-Auktions- und Orderbuch-Simulator** (Eröffnungsauktion mit Überhang-Logik, kontinuierlicher Handel, NFT-Höchstgebot, Simulation-Engine) und (2) eine vollständige **Vertriebs-/Marketing- und Rechtsdokument-Suite für Genussscheine** der \"Domvs Avrea O.P.N GmbH\" (Pitch-Decks, Verträge, Zertifikate, Terminal-Simulator, Performance-Dashboard) samt eigenständiger Chatbot-, Info- und Prompt-Hub-Seiten. Alle Seiten sind eigenständige, framework-lose bzw. React-per-CDN HTML-Dateien ...",
      "security_count": 0,
      "readiness": {
        "project": "Auction-Option",
        "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
        "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "Auction-Option",
        "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
        "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md",
        "score": 81,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "AutoGenerationPro",
      "title": "AutoBotHub",
      "source": "0-REPLIT-MD-EXPORT/AutoGenerationPro/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Vite",
        "Express",
        "TypeScript",
        "Drizzle-Zod",
        "TanStack Query"
      ],
      "tags": [
        "multi-bot",
        "chat",
        "codegen",
        "html-editor",
        "debate-bot",
        "proxy",
        "react"
      ],
      "overview": "Multi-Bot-Generierungssystem mit fünf Tabs (Chat, Code, HTML-Editor, Template, Debate). Alle KI-Aufrufe laufen über eine einzige zentrale Backend-Proxy-Route, damit Modell/Provider zentral steuerbar bleiben.",
      "security_count": 0,
      "readiness": {
        "project": "AutoGenerationPro",
        "title": "AutoBotHub",
        "source": "0-REPLIT-MD-EXPORT/AutoGenerationPro/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Drizzle",
          "Express",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "AutoGenerationPro",
        "title": "AutoBotHub",
        "source": "0-REPLIT-MD-EXPORT/AutoGenerationPro/replit.md",
        "score": 71,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 92,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "BLUEHOST",
      "title": "BLUEHOST — domusaurea.tech Archiv-Export",
      "source": "0-REPLIT-MD-EXPORT/BLUEHOST/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "Tailwind CDN",
        "JSON-Katalog"
      ],
      "tags": [
        "archive",
        "catalog",
        "portal",
        "static",
        "fintech",
        "ai-chatbots",
        "dvag",
        "hub",
        "search"
      ],
      "overview": "Kein einzelnes Produkt, sondern ein klassifiziertes Archiv-Portal der Website `domusaurea.tech`: 1616 HTML-Dateien, mit KI-Metadaten aus `BLUEHOST.csv` angereichert und in 14 thematische Kategorien sortiert. `index.html` ist der Navigations-Hub ueber das gesamte Archiv (Fintech-Tools, KI-Chatbots, DVAG/Versicherung, Immobilien, Spiele, Legal-Dokumente u.v.m.).",
      "security_count": 1,
      "readiness": {
        "project": "BLUEHOST",
        "title": "BLUEHOST — domusaurea.tech Archiv-Export",
        "source": "0-REPLIT-MD-EXPORT/BLUEHOST/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "BLUEHOST",
        "title": "BLUEHOST — domusaurea.tech Archiv-Export",
        "source": "0-REPLIT-MD-EXPORT/BLUEHOST/replit.md",
        "score": 66,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 1
      }
    },
    {
      "project": "bluehost-export",
      "title": "bluehost-export (GoldShield AI - Premium Financial Intelligence)",
      "source": "0-REPLIT-MD-EXPORT/bluehost-export/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "PWA-Manifest"
      ],
      "tags": [
        "landingpage",
        "seo",
        "goldshield",
        "static",
        "pwa",
        "marketing",
        "fintech"
      ],
      "overview": "Einzelner statischer Export-Ordner mit nur einer, aber sehr umfangreichen Datei (`index.html`, 5527 Zeilen): die Landingpage \"GoldShield AI - Premium Financial Intelligence\" von Genitus Inc. (Daniel Gereci, CEO), beworben unter `globalfintech.net`. Nahezu identisch mit dem Schwesterprojekt `GLOBALFINTECH`.",
      "security_count": 0,
      "readiness": {
        "project": "bluehost-export",
        "title": "bluehost-export (GoldShield AI - Premium Financial Intelligence)",
        "source": "0-REPLIT-MD-EXPORT/bluehost-export/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "bluehost-export",
        "title": "bluehost-export (GoldShield AI - Premium Financial Intelligence)",
        "source": "0-REPLIT-MD-EXPORT/bluehost-export/replit.md",
        "score": 67,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 59,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "bluehost-stack-catalog",
      "title": "bluehost-stack-catalog",
      "source": "0-REPLIT-MD-EXPORT/bluehost-stack-catalog/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "C",
      "tech_stack": [
        "Python Crawler",
        "Markdown/JSON/CSV Export"
      ],
      "tags": [
        "catalog",
        "crawler",
        "meta-documentation",
        "inventory",
        "duplicates",
        "bluehost"
      ],
      "overview": "Kein eigenstaendiges Web-Projekt, sondern ein generierter Referenz-Katalog ueber die Live-Seite `https://bluehost-stack.replit.app/`. Ein Crawler (`bluehost_stack_catalog.py`) geht alle verlinkten Eintraege ab, sammelt Metadaten (Name, Kategorie, URL, HTTP-Status, Beschreibung, Content-Type) und erzeugt JSON/CSV/Markdown-Exporte. Inhaltlich derselbe \"BLUEHOST-UPDATE\"-Bestand wie im `BLUEHOST`-Projekt: 173 kuratierte Dateien in 11 Kategorien.",
      "security_count": 0,
      "readiness": {
        "project": "bluehost-stack-catalog",
        "title": "bluehost-stack-catalog",
        "source": "0-REPLIT-MD-EXPORT/bluehost-stack-catalog/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Python"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "bluehost-stack-catalog",
        "title": "bluehost-stack-catalog",
        "source": "0-REPLIT-MD-EXPORT/bluehost-stack-catalog/replit.md",
        "score": 64,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 74,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "BoostBrain2",
      "title": "BoostBrain2 — Claude AI Chat Application",
      "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "TypeScript",
        "Express",
        "Anthropic Claude API",
        "OpenAI DALL-E",
        "PostgreSQL"
      ],
      "tags": [
        "chatbot",
        "claude",
        "multimodal",
        "streaming",
        "avatar-generation",
        "react",
        "express"
      ],
      "overview": "Vollstaendige Claude-AI-Chat-Anwendung mit React/TypeScript-Frontend und Express/Node.js-Backend. Unterstuetzt multimodale Konversationen (Text + Bild), Echtzeit-Streaming-Antworten, anpassbare Chat-Einstellungen und Avatar-Personalisierung, in rosa/pastellfarbenem Theming.",
      "security_count": 0,
      "readiness": {
        "project": "BoostBrain2",
        "title": "BoostBrain2 — Claude AI Chat Application",
        "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md",
        "score": 78,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "JavaScript",
          "Node.js",
          "OAuth",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "BoostBrain2",
        "title": "BoostBrain2 — Claude AI Chat Application",
        "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md",
        "score": 81,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 97,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "11 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 11,
        "security_count": 0
      }
    },
    {
      "project": "BrokerBuddy",
      "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
      "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "React",
        "TypeScript",
        "Vite",
        "Node.js",
        "Express",
        "Bootstrap 5",
        "Lightweight Charts",
        "html2canvas"
      ],
      "tags": [
        "trading-signale",
        "sma-crossover",
        "long-short",
        "comic-ui",
        "lightweight-charts",
        "proxy-api",
        "trade-empfehlung"
      ],
      "overview": "Ein Trading-Empfehlungs-Werkzeug, das über einen fest verdrahteten externen Proxy (`https://theserver-open-ai.replit.app`) EOD- und Echtzeit-Kursdaten abruft und daraus einfache regelbasierte Long/Short-Empfehlungen mit Ziel-/Stop-Kursen ableitet. Es existieren drei Varianten desselben Grundkonzepts unter unterschiedlichem Branding: die React-App \"Broker Bot Daniel.AI\", die eigenständige Seite \"L'Average AI Pro - Safe Cross Strategy Terminal\" (SMA-Crossover-Fokus) und \"BROKER AI - Standalone\" (Comic-Karten-UI mit Tailwind).",
      "security_count": 0,
      "readiness": {
        "project": "BrokerBuddy",
        "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
        "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Cloudflare",
          "Express",
          "JavaScript",
          "Lightweight Charts",
          "Node.js",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "BrokerBuddy",
        "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
        "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md",
        "score": 68,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "13 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 13,
        "security_count": 0
      }
    },
    {
      "project": "CareerCrafter",
      "title": "Job Search Application (CareerCrafter)",
      "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md",
      "cluster": "Bildung-Karriere",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "JSearch API",
        "Tailwind"
      ],
      "tags": [
        "job-search",
        "react",
        "express",
        "api-integration",
        "pagination",
        "bookmarks"
      ],
      "overview": "Mobile-first Job-Suche-App mit React (Vite) Frontend und Express-Backend, die Echtzeit-Jobangebote ueber die JSearch API (RapidAPI) liefert. Zusaetzlich existiert `FINALjobs.html` als eigenstaendige statische Vorab-/Backup-Version.",
      "security_count": 0,
      "readiness": {
        "project": "CareerCrafter",
        "title": "Job Search Application (CareerCrafter)",
        "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Drizzle",
          "Express",
          "JavaScript",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "CareerCrafter",
        "title": "Job Search Application (CareerCrafter)",
        "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md",
        "score": 70,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 89,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "ChartStyler",
      "title": "ChartStyler — PeakValleyAI Stock Analysis",
      "source": "0-REPLIT-MD-EXPORT/ChartStyler/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "Python",
        "Flask",
        "Flask-SQLAlchemy"
      ],
      "tags": [
        "stock-analysis",
        "flask",
        "peak-valley",
        "incomplete-model",
        "dashboard"
      ],
      "overview": "Flask-Web-App \"PeakValleyAI - Stock Analysis\" zur Aktienanalyse mit dunklem, gruen-akzentuiertem Finanz-Dashboard-Design. Enthaelt zusaetzlich eine eigenstaendige HTML-Standalone-Version (`PeakValleyAI_standalone.html`) ohne Flask-Backend.",
      "security_count": 1,
      "readiness": {
        "project": "ChartStyler",
        "title": "ChartStyler — PeakValleyAI Stock Analysis",
        "source": "0-REPLIT-MD-EXPORT/ChartStyler/replit.md",
        "score": 72,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Python"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "ChartStyler",
        "title": "ChartStyler — PeakValleyAI Stock Analysis",
        "source": "0-REPLIT-MD-EXPORT/ChartStyler/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 84,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 1
      }
    },
    {
      "project": "claude code export",
      "title": "claude code export — Aktien / Börse / Trading Sammlung",
      "source": "0-REPLIT-MD-EXPORT/claude code export/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "Static HTML/CSS/JS",
        "Chart.js",
        "Node.js (eod-proxy.js",
        "neural-api.js)"
      ],
      "tags": [
        "trading-tools",
        "fintech",
        "portfolio-analyse",
        "algo-trading",
        "interactive-brokers",
        "internationale-boersen",
        "neural-fintech",
        "chartjs"
      ],
      "overview": "Gefilterter Export von 156 aktien-, börsen-, trading-, portfolio-, markt- und finanzbezogenen Dateien aus einem größeren Bestand (laut `EXPORT-MANIFEST.txt`, \"CLAUDE CODE EXPORT — AKTIEN / BÖRSE / TRADING\"), Ordnerstruktur des Ursprungs bleibt erhalten. Kein einzelnes Produkt, sondern eine Sammlung dutzender eigenständiger statischer Trading-/Analyse-/Portfolio-Tools aus derselben \"NEURAL\"/\"GENITUS\"-Fintech-Toolfamilie, plus ein internationaler Börsenindex-Bereich mit ~55 länder-/marktspezifischen Seiten und eine ältere Parallel-Sammlung (`1aBOT/Fintech/`).",
      "security_count": 0,
      "readiness": {
        "project": "claude code export",
        "title": "claude code export — Aktien / Börse / Trading Sammlung",
        "source": "0-REPLIT-MD-EXPORT/claude code export/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "claude code export",
        "title": "claude code export — Aktien / Börse / Trading Sammlung",
        "source": "0-REPLIT-MD-EXPORT/claude code export/replit.md",
        "score": 75,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "CLAUDE-PWA",
      "title": "CLAUDE-PWA — Neutral PWA Master Template",
      "source": "0-REPLIT-MD-EXPORT/CLAUDE-PWA/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Vanilla PWA Shell",
        "Node.js CLI-Skripte",
        "JSON-Schema"
      ],
      "tags": [
        "template",
        "pwa",
        "generator",
        "tooling",
        "meta-projekt",
        "branding",
        "cli"
      ],
      "overview": "Kein Endprodukt, sondern ein wiederverwendbares Meta-Template (\"neutral master template for turning an existing web stack into installable, brandable PWAs\"), das zusammen mit App-Briefing, Quellmodulen, Marken-Assets und Zugriffsrichtlinie an einen Coding-Agenten übergeben wird, um daraus eine eigenständige PWA zu erzeugen. Bewusst unabhängig von den anderen Projekten (Orbitron, Genitus) gehalten.",
      "security_count": 0,
      "readiness": {
        "project": "CLAUDE-PWA",
        "title": "CLAUDE-PWA — Neutral PWA Master Template",
        "source": "0-REPLIT-MD-EXPORT/CLAUDE-PWA/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Node.js",
          "TypeScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "CLAUDE-PWA",
        "title": "CLAUDE-PWA — Neutral PWA Master Template",
        "source": "0-REPLIT-MD-EXPORT/CLAUDE-PWA/replit.md",
        "score": 80,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "CPlusPlus",
      "title": "NEXUS Command — RTS",
      "source": "0-REPLIT-MD-EXPORT/CPlusPlus/replit.md",
      "cluster": "Games",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "TypeScript",
        "Vite",
        "Canvas2D"
      ],
      "tags": [
        "rts",
        "game",
        "strategy",
        "pathfinding",
        "ai",
        "typescript",
        "canvas",
        "starcraft-like"
      ],
      "overview": "Browser-basiertes StarCraft-2-artiges Echtzeit-Strategiespiel (RTS) in TypeScript + Vite + Canvas2D. Nach eigenem Changelog ein Major-Refactor eines fruehen Prototyps (Diagonal-Speed-Bug, kein Pathfinding, `alert()`-UI) hin zu einer vollstaendigen Engine mit A*-Pathfinding, Fog of War, Partikelsystem und Smart-AI-Gegner.",
      "security_count": 0,
      "readiness": {
        "project": "CPlusPlus",
        "title": "NEXUS Command — RTS",
        "source": "0-REPLIT-MD-EXPORT/CPlusPlus/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Node.js",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "CPlusPlus",
        "title": "NEXUS Command — RTS",
        "source": "0-REPLIT-MD-EXPORT/CPlusPlus/replit.md",
        "score": 85,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "4 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 4,
        "security_count": 0
      }
    },
    {
      "project": "CreditWall",
      "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
      "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "Flask",
        "Python 3.11",
        "PostgreSQL",
        "SQLAlchemy",
        "Tailwind CSS",
        "Stripe",
        "Leonardo.ai API",
        "Gunicorn",
        "Vanilla JS"
      ],
      "tags": [
        "ai-image-generation",
        "saas",
        "credit-system",
        "stripe-billing",
        "leonardo-ai",
        "royal-luxury-design",
        "flask",
        "image-gallery"
      ],
      "overview": "CreditWall ist eine Flask/PostgreSQL-SaaS-App zur KI-Bildgenerierung über die Leonardo.ai-API mit einem Credit-basierten Bezahlmodell (Stripe-Checkout). Der Browser-Tab heißt \"AI Image Forge Ultimate\", das Produkt-Branding im Header (`<h1 class=\"app-title\">`) lautet jedoch **\"L'Imagia\"** — beide Namen sind im Quellcode real vorhanden und sollten im Rebuild konsistent gewählt/gemappt werden. Neue Nutzer erhalten 10 Gratis-Credits, generierte Bilder laufen nach 14 Tagen automatisch ab (DB-Cleanup-Job).",
      "security_count": 2,
      "readiness": {
        "project": "CreditWall",
        "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
        "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md",
        "score": 72,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Next.js",
          "Node.js",
          "PostgreSQL",
          "Prisma",
          "Python",
          "React",
          "Stripe",
          "Supabase",
          "Svelte",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vue"
        ],
        "risk_count": 2
      },
      "rebuildability": {
        "project": "CreditWall",
        "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
        "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md",
        "score": 91,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "15 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 15,
        "security_count": 2
      }
    },
    {
      "project": "CRYPTO-TANKSTELLE",
      "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS/JS",
        "Chart.js",
        "EOD-Proxy"
      ],
      "tags": [
        "crypto",
        "dashboard",
        "sma",
        "markov",
        "knn",
        "hmm",
        "scanner",
        "static"
      ],
      "overview": "Multi-Page-Crypto-Dashboard-Suite, die Echtzeit-USD-Preise und historische EOD-Daten ueber einen eigenen EOD-Proxy abruft. Jede Seite ist eine eigenstaendige statische HTML-Datei im gemeinsamen dunklen Cyberpunk-Design (Orbitron + Share Tech Mono), mit gemeinsamer Fetch-/SMA-Logik.",
      "security_count": 2,
      "readiness": {
        "project": "CRYPTO-TANKSTELLE",
        "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
        "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md",
        "score": 74,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "JavaScript",
          "TypeScript"
        ],
        "risk_count": 2
      },
      "rebuildability": {
        "project": "CRYPTO-TANKSTELLE",
        "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
        "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md",
        "score": 78,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 2
      }
    },
    {
      "project": "CRYPTO-TANKSTELLE-archiv-20260714",
      "title": "GENITUS // Quantum Crypto Orbitron (Archiv-Vorgängerversion)",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260714/replit.md",
      "cluster": "Fintech-Trading",
      "status": "archiv-duplikat",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML",
        "CSS",
        "JavaScript",
        "Chart.js",
        "EOD-Proxy-API"
      ],
      "tags": [
        "crypto",
        "dashboard",
        "orbitron",
        "cyberpunk",
        "archiv",
        "watchlist",
        "RSI-bot",
        "korrelationsscanner"
      ],
      "overview": "Archivierte Vorgängerversion (Stand 2026-07-14) des Projekts `CRYPTO-TANKSTELLE`: ein Multi-Page Crypto-Dashboard mit EOD-Proxy-Datenanbindung, 40 kuratierten Coins in vier Tiers (Majors/Core/Gems/Moonshots), einer erweiterten `cc-liste.html` mit 190 Coins, einem RSI(14)-Papertrading-Bot (`RSI.html`) und einem Korrelations-/Outlier-Scanner (`korrelation.html`). Dark-Cyberpunk-Design mit Orbitron + Share Tech Mono. Quelle enthält eine eigene, funktionierende Alt-`replit.md` (siehe `CRYPTO-TANKSTELLE\\replit.md`), die bereits ausreichend Struktur- und Feature-Dokumentation lieferte; diese Archivk...",
      "security_count": 0,
      "readiness": {
        "project": "CRYPTO-TANKSTELLE-archiv-20260714",
        "title": "GENITUS // Quantum Crypto Orbitron (Archiv-Vorgängerversion)",
        "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260714/replit.md",
        "score": 55,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 96,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 45,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "CRYPTO-TANKSTELLE-archiv-20260714",
        "title": "GENITUS // Quantum Crypto Orbitron (Archiv-Vorgängerversion)",
        "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260714/replit.md",
        "score": 68,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "CRYPTO-TANKSTELLE-archiv-20260715",
      "title": "CRYPTO-TANKSTELLE (archivierte Version, Stand 2026-07-15)",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260715/replit.md",
      "cluster": "Fintech-Trading",
      "status": "archiv-duplikat",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "EOD-Proxy"
      ],
      "tags": [
        "archiv",
        "duplikat",
        "krypto",
        "trading",
        "dashboard",
        "siehe-kanonisch"
      ],
      "overview": "",
      "security_count": 1,
      "readiness": {
        "project": "CRYPTO-TANKSTELLE-archiv-20260715",
        "title": "CRYPTO-TANKSTELLE (archivierte Version, Stand 2026-07-15)",
        "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260715/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "CRYPTO-TANKSTELLE-archiv-20260715",
        "title": "CRYPTO-TANKSTELLE (archivierte Version, Stand 2026-07-15)",
        "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260715/replit.md",
        "score": 57,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 70,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 59,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren."
        ],
        "dependency_count": 0,
        "security_count": 1
      }
    },
    {
      "project": "CryptoTraderPro",
      "title": "CryptoTraderPro — FinTech Startup EOD Proxy",
      "source": "0-REPLIT-MD-EXPORT/CryptoTraderPro/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "React",
        "Vite",
        "Express",
        "TypeScript",
        "EODHD API"
      ],
      "tags": [
        "krypto",
        "eod-proxy",
        "react",
        "express",
        "prototype",
        "trading"
      ],
      "overview": "Ein schlankes Fintech-Projekt: React-Frontend-Gerüst (Titel \"FinTech Startup\", Inhalt weitgehend generisch/leer) plus Express-Backend, das als Proxy vor die EODHD-API geschaltet ist. Enthält zusätzlich drei Referenz-HTML-Tools aus dem BLUEHOST-Archiv als Ausgangsmaterial für die Krypto-Funktionalität.",
      "security_count": 0,
      "readiness": {
        "project": "CryptoTraderPro",
        "title": "CryptoTraderPro — FinTech Startup EOD Proxy",
        "source": "0-REPLIT-MD-EXPORT/CryptoTraderPro/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "CryptoTraderPro",
        "title": "CryptoTraderPro — FinTech Startup EOD Proxy",
        "source": "0-REPLIT-MD-EXPORT/CryptoTraderPro/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "cumex",
      "title": "Cum-Ex & Cum-Cum Educational Guide (cumex)",
      "source": "0-REPLIT-MD-EXPORT/cumex/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "CSS"
      ],
      "tags": [
        "bildung",
        "steuerrecht",
        "e-book",
        "static",
        "aufklaerung",
        "finanzsysteme",
        "deutsch"
      ],
      "overview": "Statische Bildungswebsite, die die Cum-Ex- und Cum-Cum-Steuerschemata in einfacher deutscher Sprache erklärt — Grundlagen (Aktien, Dividenden, Kapitalertragsteuer) bis zu den beiden Steuerschemata, die in Deutschland ca. 40 Milliarden Euro Schaden verursachten.",
      "security_count": 0,
      "readiness": {
        "project": "cumex",
        "title": "Cum-Ex & Cum-Cum Educational Guide (cumex)",
        "source": "0-REPLIT-MD-EXPORT/cumex/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
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            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "cumex",
        "title": "Cum-Ex & Cum-Cum Educational Guide (cumex)",
        "source": "0-REPLIT-MD-EXPORT/cumex/replit.md",
        "score": 62,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 96,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 59,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
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          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "DaBATCH-JOB",
      "title": "Corporate App Gallery — Premium HTML5 Solutions",
      "source": "0-REPLIT-MD-EXPORT/DaBATCH-JOB/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "Standalone HTML5",
        "Three.js",
        "Chart.js",
        "GSAP"
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      "tags": [
        "corporate",
        "showcase",
        "deutsche-bank",
        "allianz",
        "news",
        "fintech-hub",
        "multi-app"
      ],
      "overview": "Sammlung von 20+ eigenstaendigen, framework-losen HTML5-Corporate-Apps (Deutsche Bank, Allianz, Die Zeit, DOMVS AVREA Fintech Hub u.a.), die aus urspruenglichen Batch-generierten Prototypen zu produktionsreifen Websites weiterentwickelt werden. Jede App ist eine Single-File-HTML mit Inline-CSS/JS, Libraries nur via CDN (Three.js, Chart.js, GSAP).",
      "security_count": 0,
      "readiness": {
        "project": "DaBATCH-JOB",
        "title": "Corporate App Gallery — Premium HTML5 Solutions",
        "source": "0-REPLIT-MD-EXPORT/DaBATCH-JOB/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "Cloudflare",
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "DaBATCH-JOB",
        "title": "Corporate App Gallery — Premium HTML5 Solutions",
        "source": "0-REPLIT-MD-EXPORT/DaBATCH-JOB/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
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          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "daBATCH-job-runde3",
      "title": "Corporate MVPs (daBATCH-job-runde3)",
      "source": "0-REPLIT-MD-EXPORT/daBATCH-job-runde3/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "TypeScript",
        "Vite",
        "pnpm Workspaces",
        "Turbo",
        "Mapbox GL"
      ],
      "tags": [
        "corporate-mvp",
        "monorepo",
        "adidas",
        "siemens",
        "lufthansa",
        "mercedes",
        "showcase"
      ],
      "overview": "5 corporate-ready, produktionsreife Frontend-MVPs, transformiert aus HTML-Prototypen: Adidas (E-Commerce), Siemens (IoT-Dashboard), Lufthansa (Travel-Plattform), DIE ZEIT (News), Mercedes-Benz (Connected Car). Monorepo mit pnpm Workspaces + Turbo, React 18 + TypeScript + Vite 5. Laut eigenem Status \"✅ PRODUCTION-READY\", Architect-Review bestanden (25.10.2025).",
      "security_count": 0,
      "readiness": {
        "project": "daBATCH-job-runde3",
        "title": "Corporate MVPs (daBATCH-job-runde3)",
        "source": "0-REPLIT-MD-EXPORT/daBATCH-job-runde3/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "JavaScript",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "daBATCH-job-runde3",
        "title": "Corporate MVPs (daBATCH-job-runde3)",
        "source": "0-REPLIT-MD-EXPORT/daBATCH-job-runde3/replit.md",
        "score": 85,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
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            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
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          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
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        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
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    },
    {
      "project": "DABATCHFORREAL",
      "title": "BATCH PROCESSOR — Mistral Batch API Interface",
      "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md",
      "cluster": "Infrastruktur",
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      "tech_stack": [
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        "Mistral Batch API",
        "JSZip"
      ],
      "tags": [
        "batch-processing",
        "mistral",
        "ai",
        "cost-saving",
        "flask",
        "jsonl"
      ],
      "overview": "Web-Interface zum Verarbeiten mehrerer Prompts ueber Mistral AIs **Batch API** (nicht die Completions API), mit Flask-Backend fuer Job-Erstellung, Status-Polling und Ergebnisabruf — laut eigener Doku 50% guenstiger als die reguläre Completions API. Titel der App: \"⚡ BATCH PROCESSOR - Mistral AI Streaming Interface\".",
      "security_count": 0,
      "readiness": {
        "project": "DABATCHFORREAL",
        "title": "BATCH PROCESSOR — Mistral Batch API Interface",
        "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md",
        "score": 84,
        "grade": "B",
        "dimensions": [
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            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 90,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "JavaScript",
          "Python",
          "SQLite",
          "Tailwind CSS",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "DABATCHFORREAL",
        "title": "BATCH PROCESSOR — Mistral Batch API Interface",
        "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md",
        "score": 74,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 96,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "dacasestudy",
      "title": "dacasestudy — KI Power Index (KIP) Final Report 2025",
      "source": "0-REPLIT-MD-EXPORT/dacasestudy/replit.md",
      "cluster": "Sonstiges",
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      "tech_stack": [
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        "Tailwind CSS",
        "Chart.js",
        "JavaScript"
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        "case-study",
        "report",
        "ai-metrics",
        "static-site",
        "chart.js",
        "kip-index",
        "benchmark"
      ],
      "overview": "Statische Web-Analyse-Plattform, die KI-Faehigkeiten in menschlich nachvollziehbaren Groessen quantifiziert (inspiriert von James Watts Pferdestaerken-Metrik). Dokumentiert 10 Phasen des KI-gestuetzten Entwicklungswachstums (2023-2025) als Fallstudie/Report ueber Produktivitaetssteigerung durch KI-Tools.",
      "security_count": 0,
      "readiness": {
        "project": "dacasestudy",
        "title": "dacasestudy — KI Power Index (KIP) Final Report 2025",
        "source": "0-REPLIT-MD-EXPORT/dacasestudy/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "dacasestudy",
        "title": "dacasestudy — KI Power Index (KIP) Final Report 2025",
        "source": "0-REPLIT-MD-EXPORT/dacasestudy/replit.md",
        "score": 68,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "daniel",
      "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
      "source": "0-REPLIT-MD-EXPORT/daniel/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML/CSS/JS",
        "Tailwind CSS (CDN)",
        "OpenAI GPT-4o-mini (externer Proxy)",
        "Leaflet.js",
        "Marked.js",
        "Font Awesome"
      ],
      "tags": [
        "dvag",
        "finanzberater",
        "ki-chatbot",
        "genitus",
        "landingpage",
        "multi-persona",
        "openai-proxy",
        "personal-branding"
      ],
      "overview": "Ein Bündel von statischen HTML-Einzelseiten (kein Build-System, kein Framework) rund um zwei Personas: **Daniel Gereci** – wahlweise als CEO/KI-Manager von **Genitus Inc.** (AI-Growth-Agentur) oder als **DVAG-Vermögensberater** in Düsseldorf – und seine Frau **Kerstin Gereci** (ebenfalls DVAG-Beraterin, Familienfokus). Jede Seite ist ein eigenständiges, vollständig gestyltes Landingpage-Dokument (Tailwind via CDN, Google Fonts, Font Awesome) mit eigenem Farb-Theme, das sich per Fetch-Aufruf an einen externen KI-Chat-Proxy (`theserver-open-ai.replit.app`) andockt. Es gibt keinen gemeinsamen Hea...",
      "security_count": 0,
      "readiness": {
        "project": "daniel",
        "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
        "source": "0-REPLIT-MD-EXPORT/daniel/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Netlify",
          "Next.js",
          "React",
          "Svelte",
          "Tailwind CSS",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "daniel",
        "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
        "source": "0-REPLIT-MD-EXPORT/daniel/replit.md",
        "score": 81,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "11 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 11,
        "security_count": 0
      }
    },
    {
      "project": "DataScienceToolkit",
      "title": "DataScienceToolkit — Le Marché AI Trading Dashboard",
      "source": "0-REPLIT-MD-EXPORT/DataScienceToolkit/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Python",
        "Streamlit",
        "yfinance",
        "Plotly"
      ],
      "tags": [
        "streamlit",
        "technical-analysis",
        "rsi",
        "bollinger-bands",
        "dashboard"
      ],
      "overview": "Streamlit-basiertes Finanz-Dashboard \"Le Marché AI\" mit Echtzeit-Aktienanalyse und Visualisierung. Bietet technische Analyse-Tools (RSI, gleitende Durchschnitte, Bollinger-Baender), interaktive Plotly-Charts und Datenverarbeitung ueber yfinance.",
      "security_count": 0,
      "readiness": {
        "project": "DataScienceToolkit",
        "title": "DataScienceToolkit — Le Marché AI Trading Dashboard",
        "source": "0-REPLIT-MD-EXPORT/DataScienceToolkit/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "JavaScript",
          "Next.js",
          "Python",
          "TypeScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "DataScienceToolkit",
        "title": "DataScienceToolkit — Le Marché AI Trading Dashboard",
        "source": "0-REPLIT-MD-EXPORT/DataScienceToolkit/replit.md",
        "score": 88,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 85,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "DeepDiveResearcher",
      "title": "DeepDiveResearcher — Deep Research Bot",
      "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "React 18",
        "TypeScript",
        "Express",
        "WebSocket",
        "PostgreSQL",
        "Drizzle ORM",
        "Vite",
        "TanStack Query",
        "Shadcn/ui",
        "Radix UI",
        "OpenAI Deep Research API",
        "Orbitron"
      ],
      "tags": [
        "ai-research",
        "deep-research",
        "openai",
        "websocket",
        "realtime-progress",
        "orbitron",
        "dark-glassmorphism",
        "citations"
      ],
      "overview": "DeepDiveResearcher ist eine Full-Stack-App (React + Express + WebSocket + Postgres/Drizzle), die OpenAI's Deep Research API (Modelle `o3-deep-research`, `o4-mini-deep-research`) kapselt: Nutzer stellen eine Rechercheanfrage, sehen den Fortschritt live über WebSocket und erhalten am Ende einen strukturierten Bericht mit Quellenangaben. Zusätzlich existieren zwei eigenständige, self-contained HTML-Exporte (`FINALdeep.html`, `NEURALdeep.html`) im futuristischen Dark-Glassmorphism-Look mit Orbitron-Font.",
      "security_count": 0,
      "readiness": {
        "project": "DeepDiveResearcher",
        "title": "DeepDiveResearcher — Deep Research Bot",
        "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "JavaScript",
          "Netlify",
          "Next.js",
          "Node.js",
          "PostgreSQL",
          "React",
          "Supabase",
          "Svelte",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "DeepDiveResearcher",
        "title": "DeepDiveResearcher — Deep Research Bot",
        "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md",
        "score": 84,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "14 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 14,
        "security_count": 0
      }
    },
    {
      "project": "deepresearch",
      "title": "Deep Research Bibliothek (deepresearch)",
      "source": "0-REPLIT-MD-EXPORT/deepresearch/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "Bootstrap 5",
        "Font Awesome"
      ],
      "tags": [
        "bibliothek",
        "research-reports",
        "ki-generiert",
        "katalog",
        "wissenssammlung",
        "static",
        "bootstrap"
      ],
      "overview": "Statische HTML-Bibliothek mit über 150 deutschsprachigen \"Deep Research\"-Berichten zu einer sehr breiten Themenpalette, per Prompt-Vorlagen für ChatGPT/Claude generiert. Eine zentrale `index.html` dient als kategorisierter Katalog/Registry.",
      "security_count": 0,
      "readiness": {
        "project": "deepresearch",
        "title": "Deep Research Bibliothek (deepresearch)",
        "source": "0-REPLIT-MD-EXPORT/deepresearch/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "deepresearch",
        "title": "Deep Research Bibliothek (deepresearch)",
        "source": "0-REPLIT-MD-EXPORT/deepresearch/replit.md",
        "score": 63,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "deluxedatamanger",
      "title": "Admin Dashboard (deluxedatamanger)",
      "source": "0-REPLIT-MD-EXPORT/deluxedatamanger/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "Drizzle",
        "Neon PostgreSQL",
        "TanStack Query"
      ],
      "tags": [
        "admin-dashboard",
        "cms",
        "file-manager",
        "crud",
        "database",
        "folder-explorer"
      ],
      "overview": "Express + Drizzle (Neon Postgres) Backend mit React + TanStack Query + shadcn Frontend zur Verwaltung von Artikeln, Bildern, Suchanfragen, Files (HTML/Bilder), Site-Stats, Kategorien und Nutzern. Vollstaendiges CRUD-Admin-Tool mit Folder-Explorer, Datei-Vorschau und Auto-Sortier-Funktion.",
      "security_count": 0,
      "readiness": {
        "project": "deluxedatamanger",
        "title": "Admin Dashboard (deluxedatamanger)",
        "source": "0-REPLIT-MD-EXPORT/deluxedatamanger/replit.md",
        "score": 72,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "deluxedatamanger",
        "title": "Admin Dashboard (deluxedatamanger)",
        "source": "0-REPLIT-MD-EXPORT/deluxedatamanger/replit.md",
        "score": 83,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 94,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "7 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 7,
        "security_count": 0
      }
    },
    {
      "project": "DenariusFinance",
      "title": "Genitus Inc - Denarius | Financial Analytics Dashboard",
      "source": "0-REPLIT-MD-EXPORT/DenariusFinance/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Vite",
        "Express",
        "EOD Historical Data API"
      ],
      "tags": [
        "fintech",
        "dashboard",
        "long-short",
        "trading",
        "eod-api",
        "genitus",
        "react"
      ],
      "overview": "Fintech-Dashboard \"Denarius\" für Marktanalyse und LONG/SHORT-Trading-Empfehlungen über sechs Assetklassen (Krypto, Aktien, Forex, Bonds, Commodities, Indizes). Marke \"Genitus Inc\". Existiert als React-App plus zwei parallele statische HTML-Standalone-Versionen (iterative Entwicklung).",
      "security_count": 0,
      "readiness": {
        "project": "DenariusFinance",
        "title": "Genitus Inc - Denarius | Financial Analytics Dashboard",
        "source": "0-REPLIT-MD-EXPORT/DenariusFinance/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "DenariusFinance",
        "title": "Genitus Inc - Denarius | Financial Analytics Dashboard",
        "source": "0-REPLIT-MD-EXPORT/DenariusFinance/replit.md",
        "score": 75,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 98,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "DiabetesGuardian",
      "title": "Emergency & Diabetes Care Bot - LifeSaver",
      "source": "0-REPLIT-MD-EXPORT/DiabetesGuardian/replit.md",
      "cluster": "Sonstiges",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "GPT-4o-mini",
        "TTS"
      ],
      "tags": [
        "medical",
        "emergency",
        "diabetes",
        "chatbot",
        "tts",
        "vision",
        "health"
      ],
      "overview": "KI-gestuetzte medizinische Assistenz-App mit zwei Modi: akute Notfallhilfe (\"emergency\") und Diabetes-Management-Beratung (\"diabetes\"). Titel: \"Emergency & Diabetes Care Bot - LifeSaver\". React/Express-Vollversion plus eine eigenstaendige statische Vorabversion `FINALsos.html`.",
      "security_count": 0,
      "readiness": {
        "project": "DiabetesGuardian",
        "title": "Emergency & Diabetes Care Bot - LifeSaver",
        "source": "0-REPLIT-MD-EXPORT/DiabetesGuardian/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "DiabetesGuardian",
        "title": "Emergency & Diabetes Care Bot - LifeSaver",
        "source": "0-REPLIT-MD-EXPORT/DiabetesGuardian/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 98,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "7 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 7,
        "security_count": 0
      }
    },
    {
      "project": "DVAG-LEMIX",
      "title": "DVAG-LEMIX — DVAG Financial Calculator Tools",
      "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "HTML/CSS/JS",
        "Tailwind",
        "Bootstrap",
        "Materialize",
        "Chart.js",
        "EOD-Proxy"
      ],
      "tags": [
        "dvag",
        "financial-calculator",
        "etf",
        "mortgage",
        "debt-payoff",
        "estate-planning",
        "career"
      ],
      "overview": "Production-ready Suite von 6 Finanzrechner-Tools fuer DVAG-Finanzberater mit DWS-Xtrackers-ETF-Integration und intelligenter historischer Analyse (5-Jahres-CAGR aus EOD-Daten). Alle 6 Tools sind eigenstaendige HTML-Dateien im Bloomberg-Dark-Theme.",
      "security_count": 0,
      "readiness": {
        "project": "DVAG-LEMIX",
        "title": "DVAG-LEMIX — DVAG Financial Calculator Tools",
        "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Chart.js",
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "DVAG-LEMIX",
        "title": "DVAG-LEMIX — DVAG Financial Calculator Tools",
        "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md",
        "score": 73,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "dvag-test",
      "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
      "source": "0-REPLIT-MD-EXPORT/dvag-test/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "Static HTML/CSS/JS",
        "Vanilla JavaScript",
        "Google Fonts (Orbitron)",
        "Font Awesome",
        "localStorage"
      ],
      "tags": [
        "dvag",
        "vba-ausbildung",
        "quiz",
        "cheatsheet",
        "akquise",
        "b2b-vertrieb",
        "provisionsrechner",
        "schulung"
      ],
      "overview": "Statisches HTML/CSS/JS-Bundle für die DVAG-Ausbildung zum Vermögensberater im Aufbau (VBA): ein Quiz-Cheatsheet-System mit 48–58 Prüfungsfragen aus 6–7 Fachkapiteln, ein komplettes Agenturleiter-Akquisematerial (Pitches, Wochenplan, Mind Map, 22-Schritte-Ablauf), fünf B2B-Firmenkunden-Guides sowie ein \"DVAG OS 1.1\" genannter Portal-Launcher (`index.html`), der alle Dateien – lokal und extern gehostet unter `domusaurea.tech` bzw. `dvag-test.replit.app` – als anklickbare Icon-Kacheln bündelt. Alle Inhalte sind auf Daniel Gereci (DVAG-Berater, Düsseldorf, 17 Jahre Erfahrung) personalisiert. Der e...",
      "security_count": 0,
      "readiness": {
        "project": "dvag-test",
        "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
        "source": "0-REPLIT-MD-EXPORT/dvag-test/replit.md",
        "score": 76,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Netlify",
          "Python",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "dvag-test",
        "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
        "source": "0-REPLIT-MD-EXPORT/dvag-test/replit.md",
        "score": 84,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 95,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "DVAGintranet",
      "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
      "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "HTML",
        "Tailwind CSS (Play-CDN)",
        "Alpine.js",
        "Bootstrap 5",
        "Google Fonts"
      ],
      "tags": [
        "dvag",
        "ebook",
        "karriereleitfaden",
        "vertriebsberater",
        "matrix-lore",
        "genitus",
        "finanznote",
        "eqf",
        "onboarding"
      ],
      "overview": "Dieses Projekt enthält zwei eigenständige, deutschsprachige Single-File-HTML-E-Books für das DVAG-Umfeld (Deutsche Vermögensberatung AG): **\"DVAG E-Book 2025 – Karriereleitfaden\"** (`index.html`, 41 Kapitel + Epilog, ~5.900 Zeilen) und **\"CODE GENESIS: Der GENITOR und die Matrix\"** (`matrix-ebook.html`, 10 Kapitel, ~5.000 Zeilen). Ersteres ist ein vollständiges Onboarding-, Trainings- und Nachschlagewerk für DVAG-Vermögensberater (von \"First Steps\" bis Direktionsleiter-Vision 2030), letzteres ist eine fiktionale Sci-Fi/Matrix-Erzählung mit religiösen Motiven, die die Marke **Genitor / Genitus*...",
      "security_count": 0,
      "readiness": {
        "project": "DVAGintranet",
        "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
        "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md",
        "score": 72,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "JavaScript",
          "Netlify",
          "Tailwind CSS",
          "Vercel",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "DVAGintranet",
        "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
        "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md",
        "score": 91,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "DVAGlanding",
      "title": "DVAG FinanzExpert - AI-Powered Financial Advisory System",
      "source": "0-REPLIT-MD-EXPORT/DVAGlanding/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "Tailwind CSS",
        "OpenAI GPT-4o-mini",
        "Whisper",
        "TTS"
      ],
      "tags": [
        "dvag",
        "finanzberatung",
        "ki-training",
        "crm",
        "sales-enablement",
        "static",
        "monolithisch"
      ],
      "overview": "Umfassende AI-gestützte Finanzberatungs- und Trainingsplattform für DVAG-Berater (Deutsche Vermögensberatung): Gesprächssimulation, CRM, Wissensmanagement und Sales-Enablement in einer monolithischen HTML-App-Suite. Teil eines Ökosystems mit \"Advisor+\" (Premium), \"Basix\" (Basis-Simulator) und \"LeCRM\" (CRM+KI-Assistent).",
      "security_count": 1,
      "readiness": {
        "project": "DVAGlanding",
        "title": "DVAG FinanzExpert - AI-Powered Financial Advisory System",
        "source": "0-REPLIT-MD-EXPORT/DVAGlanding/replit.md",
        "score": 58,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 20,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "React",
          "Tailwind CSS"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "DVAGlanding",
        "title": "DVAG FinanzExpert - AI-Powered Financial Advisory System",
        "source": "0-REPLIT-MD-EXPORT/DVAGlanding/replit.md",
        "score": 78,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 73,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "1 kritische Security-Fundstelle(n) vor dem Rebuild klären."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 1
      }
    },
    {
      "project": "dvao-os-1",
      "title": "DVAG OS 1.1 - Financial Advisor Portal (dvao-os-1)",
      "source": "0-REPLIT-MD-EXPORT/dvao-os-1/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "CSS3",
        "Font Awesome"
      ],
      "tags": [
        "dvag",
        "desktop-ui",
        "finanzberater",
        "glasmorphismus",
        "portal",
        "iframe",
        "static"
      ],
      "overview": "\"Desktop-OS\"-artiges Web-Portal für Finanzberater (DVAG-Bezug): simuliert eine Betriebssystem-Oberfläche (Desktop-Icons, Taskbar, Fullscreen-Overlay-Fenster) als Zugang zu Vertriebs-/Beratungsmaterial. Laut eigenem Abschlussbericht \"S+ TIER / Status: Production Ready\" bewertet — allerdings mit zwei leeren Platzhalter-Unterordnern.",
      "security_count": 0,
      "readiness": {
        "project": "dvao-os-1",
        "title": "DVAG OS 1.1 - Financial Advisor Portal (dvao-os-1)",
        "source": "0-REPLIT-MD-EXPORT/dvao-os-1/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
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          {
            "name": "Accessibility",
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            "evidence": "Accessibility-Hinweise"
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          {
            "name": "Datenbankklarheit",
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          {
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            "evidence": "API-/Endpoint-Abschnitt"
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        ],
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          "React"
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        "project": "dvao-os-1",
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            "name": "Product clarity",
            "score": 100,
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          {
            "name": "Setup path",
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          {
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          {
            "name": "Quality evidence",
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          "Blocker mit den verlinkten Originalquellen verifizieren.",
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    },
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      "project": "ebookdvga",
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        "project": "ebookdvga",
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          {
            "name": "Deployment",
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            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
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          {
            "name": "Fehlerbehandlung",
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            "name": "Datenbankklarheit",
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        ],
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          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
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    },
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        "storytelling",
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        "tailwind",
        "cross-navigation"
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            "name": "Tests",
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            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
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            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
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          {
            "name": "Fehlerbehandlung",
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            "evidence": "Fehler- und Fallback-Begriffe"
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          {
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            "evidence": "Accessibility-Hinweise"
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          {
            "name": "Datenbankklarheit",
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            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
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            "name": "API-Dokumentation",
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        ],
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        "project": "famer-und-jager",
        "title": "famer-und-jager — German Financial Education Ebook Library + HAUSMAISTER Saga",
        "source": "0-REPLIT-MD-EXPORT/famer-und-jager/replit.md",
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            "name": "Product clarity",
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            "name": "Setup path",
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          {
            "name": "Architecture signal",
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            "name": "Quality evidence",
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          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
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        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
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    },
    {
      "project": "FibonacciTrader",
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        "EOD Historical Data API",
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        "trading-signale",
        "demo-simulation",
        "websocket-ungenutzt"
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            "name": "Buildbarkeit",
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            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
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            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
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            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
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          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
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        ],
        "tech": [
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          "Netlify",
          "Next.js",
          "Node.js",
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          "TypeScript",
          "Vercel",
          "Vite"
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      "rebuildability": {
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        "title": "FibonacciTrader - FiboTrader Pro / Fibonacci-Based Trading Signals Platform",
        "source": "0-REPLIT-MD-EXPORT/FibonacciTrader/replit.md",
        "score": 78,
        "grade": "B",
        "confidence": "high",
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            "name": "Product clarity",
            "score": 100,
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            "name": "Setup path",
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          {
            "name": "Architecture signal",
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            "evidence": "Tech stack, API and integration signals"
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          {
            "name": "Quality evidence",
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            "evidence": "Tests, validation and fallback language"
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          {
            "name": "Operational readiness",
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            "evidence": "Deployment and data-layer clarity"
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          {
            "name": "Risk posture",
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          "Mehrere Dokumentationshinweise erschweren die Übergabe."
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        "strengths": [
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          "Mehrere technische Bausteine sind explizit benannt.",
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        "next_steps": [
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          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "9 geteilte Dependency(s) im Dependency Atlas prüfen."
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    },
    {
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      "overview": "33 eigenständige statische HTML-Dateien rund um Trading, Finanzprodukte und KI-gestützte Marktanalyse — keine einzelne App, sondern eine Sammlung von Prototypen, Landingpages, Dashboards und Tools aus mehreren Replit-Sessions unter den Marken \"Genitus Inc.\", \"GoldShield\", \"DOMVS AVREA\" und \"NEURAL_*\". Kein gemeinsames Backend, jede Datei ist in sich geschlossen.",
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            "evidence": "Build-/Run-Begriffe im Dokument"
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          {
            "name": "Tests",
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            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
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            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
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          {
            "name": "Accessibility",
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          {
            "name": "Datenbankklarheit",
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            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
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          {
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            "evidence": "API-/Endpoint-Abschnitt"
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        ],
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        "title": "Fintech - Sammlung statischer Trading/Fintech-Tools",
        "source": "0-REPLIT-MD-EXPORT/Fintech/replit.md",
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        "grade": "C",
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            "name": "Product clarity",
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          {
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          {
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          {
            "name": "Quality evidence",
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            "evidence": "Tests, validation and fallback language"
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          {
            "name": "Operational readiness",
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            "evidence": "Masked security findings and documentation warnings"
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          "Mehrere technische Bausteine sind explizit benannt."
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        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "ForexAnalyticsDashboard",
      "title": "Forex Analytics Dashboard",
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        "boilerplate",
        "incomplete"
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      "overview": "Forex-/Marktdaten-Dashboard-Projekt mit sehr duennem Backend (im Wesentlichen Boilerplate mit einem funktionalen Endpunkt) und einer begleitenden, aber im Extrakt **beschaedigten** Standalone-HTML-Datei (`leglobal-aintraday.html`).",
      "security_count": 0,
      "readiness": {
        "project": "ForexAnalyticsDashboard",
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          {
            "name": "Buildbarkeit",
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            "evidence": "Build-/Run-Begriffe im Dokument"
          },
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            "name": "Tests",
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            "evidence": "Testbegriffe oder Testwerkzeuge"
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          {
            "name": "Deployment",
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            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
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        ],
        "tech": [
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          "Node.js",
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          "TypeScript",
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            "name": "Product clarity",
            "score": 89,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
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          {
            "name": "Operational readiness",
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            "evidence": "Deployment and data-layer clarity"
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          {
            "name": "Risk posture",
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            "evidence": "Masked security findings and documentation warnings"
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        ],
        "blockers": [
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          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "free-programming-books-main",
      "title": "free-programming-books-main",
      "source": "0-REPLIT-MD-EXPORT/free-programming-books-main/replit.md",
      "cluster": "Bildung",
      "status": "dead-scaffold",
      "rebuild_grade": "F",
      "tech_stack": [
        "Markdown",
        "Jekyll/GitHub Pages",
        "static-content-repo"
      ],
      "tags": [
        "fremdes-repo",
        "open-source",
        "CC-BY-4.0",
        "programmierbuecher",
        "kein-eigenes-produkt",
        "referenzmaterial"
      ],
      "overview": "Geklontes Open-Source-Repository `EbookFoundation/free-programming-books` (CC BY 4.0) — eine kuratierte, mehrsprachige Liste kostenloser Programmier-Lernressourcen (Buecher, Kurse, Screencasts). Kein eigener App-Code, keine eigene Server-Logik, reines Dokumentations-/Content-Repo mit der Original-Ordnerstruktur (`books/`, `courses/`, `casts/`, `more/`, `docs/`).",
      "security_count": 0,
      "readiness": {
        "project": "free-programming-books-main",
        "title": "free-programming-books-main",
        "source": "0-REPLIT-MD-EXPORT/free-programming-books-main/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 71,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "free-programming-books-main",
        "title": "free-programming-books-main",
        "source": "0-REPLIT-MD-EXPORT/free-programming-books-main/replit.md",
        "score": 64,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren."
        ],
        "dependency_count": 0,
        "security_count": 0
      }
    },
    {
      "project": "FUNandPROFIT",
      "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
      "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "HTML/CSS",
        "Tailwind CSS CDN",
        "Schema.org"
      ],
      "tags": [
        "corporate-website",
        "landing-page",
        "seo",
        "fintech-holding",
        "static",
        "marketing"
      ],
      "overview": "Corporate-Marketing-Website fuer Domvs Avrea O.P.N GmbH, einen deutschen Anbieter institutioneller KI-Loesungen fuer Finanzdienstleistungen (KI-Beratung, algorithmischer Handel, Robo-Advisory, FinTech). Reine clientseitige statische Website ohne Backend, mit mehreren parallelen Design-Iterationen.",
      "security_count": 0,
      "readiness": {
        "project": "FUNandPROFIT",
        "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
        "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Netlify",
          "Python",
          "Tailwind CSS",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "FUNandPROFIT",
        "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
        "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md",
        "score": 70,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 94,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "games",
      "title": "ORBITRON - Neural Games Hub (games)",
      "source": "0-REPLIT-MD-EXPORT/games/replit.md",
      "cluster": "Games",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "PWA",
        "Font Awesome",
        "Vanilla JS"
      ],
      "tags": [
        "games",
        "portal",
        "pwa",
        "launcher",
        "iframe",
        "arcade",
        "casino",
        "entertainment"
      ],
      "overview": "Installierbare (PWA-fähige) Spiele-Portal-Seite (\"Games Command Portal\"), fungiert als Sidebar-Launcher für eine große Zahl externer Browserspiele. Alle Spiele werden nicht lokal gehostet, sondern per Klick in Tabs/iframes von externen Replit-Apps nachgeladen.",
      "security_count": 0,
      "readiness": {
        "project": "games",
        "title": "ORBITRON - Neural Games Hub (games)",
        "source": "0-REPLIT-MD-EXPORT/games/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "games",
        "title": "ORBITRON - Neural Games Hub (games)",
        "source": "0-REPLIT-MD-EXPORT/games/replit.md",
        "score": 73,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 83,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "GAMMA-APP",
      "title": "Gamma Studio Engine",
      "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Node.js",
        "Express",
        "Gamma API"
      ],
      "tags": [
        "api-proxy",
        "presentation-generation",
        "bulk-export",
        "pdf",
        "image-extraction",
        "internal-tool"
      ],
      "overview": "Node/Express-Backend mit Single-Page-Frontend, das die externe Gamma-API (developers.gamma.app) vollstaendig kapselt: Praesentationen/Dokumente per Prompt/Template generieren, bestehende Decks als PDF/PPTX/PNG exportieren (einzeln oder als Bulk-ZIP bis 1000 Decks), Workspace-Metadaten verwalten und Analytics auswerten. Erstellt fuer \"Daniel Gereci (Genitus Inc / Domvs Avrea O.P.N GmbH)\".",
      "security_count": 0,
      "readiness": {
        "project": "GAMMA-APP",
        "title": "Gamma Studio Engine",
        "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md",
        "score": 72,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "Redis",
          "SQLite",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "GAMMA-APP",
        "title": "Gamma Studio Engine",
        "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md",
        "score": 88,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "GEMINI-OS",
      "title": "GEMINI-OS // NEURAL-OS Agent Hub + EOD-Proxy Backend",
      "source": "0-REPLIT-MD-EXPORT/GEMINI-OS/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "Node.js",
        "Express",
        "cors",
        "express-rate-limit",
        "HTML",
        "CSS",
        "JS",
        "Chart.js",
        "Lightweight Charts",
        "EODHD API",
        "OpenAI/Mistral/Anthropic/Perplexity/Gemini Proxy"
      ],
      "tags": [
        "backend-hub",
        "api-proxy",
        "eod-daten",
        "secret-vault",
        "agent-hub",
        "trading-tools",
        "ki-proxy",
        "neural-os"
      ],
      "overview": "GEMINI-OS (\"NEURAL-OS // Agent Hub\") ist der zentrale Backend- und Tool-Hub des gesamten Domvs-Avrea/Genitus-Ökosystems: ein echter Express-Server (`index.js`, 1040 Zeilen) mit Secret-Vault, Rate-Limiting und einem universellen AI/Finanzdaten-Proxy (`/api/chat`, `/api/vision`, `/api/eod`, `/api/perplexity`, `/api/gemini` u.a.), plus 60+ eigenständige HTML-Tools rund um Trading, Marktanalyse und KI-Agenten. Deployed unter `https://gemini-os.replit.app` wird der `/api/eod`-Endpunkt nachweislich von Schwesterprojekten (u.a. LANG-CHAIN, CRYPTO-TANKSTELLE) als gemeinsame EOD-Marktdaten-Quelle refer...",
      "security_count": 0,
      "readiness": {
        "project": "GEMINI-OS",
        "title": "GEMINI-OS // NEURAL-OS Agent Hub + EOD-Proxy Backend",
        "source": "0-REPLIT-MD-EXPORT/GEMINI-OS/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "Express",
          "JavaScript",
          "Lightweight Charts",
          "Next.js",
          "Node.js",
          "React",
          "Stripe",
          "TypeScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "GEMINI-OS",
        "title": "GEMINI-OS // NEURAL-OS Agent Hub + EOD-Proxy Backend",
        "source": "0-REPLIT-MD-EXPORT/GEMINI-OS/replit.md",
        "score": 80,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "10 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 10,
        "security_count": 0
      }
    },
    {
      "project": "generali",
      "title": "Generali - Versicherung & Investment Platform (generali)",
      "source": "0-REPLIT-MD-EXPORT/generali/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Python",
        "Flask",
        "Materialize CSS",
        "Chart.js",
        "Perplexity AI"
      ],
      "tags": [
        "insurance",
        "generali",
        "perplexity-ai",
        "financial-tools",
        "flask",
        "modular"
      ],
      "overview": "Production-ready Versicherungs- und Finanzplattform der Generali mit KI-gestuetzter Web-Suche durch Perplexity AI. Bietet intelligente konversationelle Suche mit Versicherungs-Spezialisierung, Finanzrechner und umfassende Infos zu Versicherungs-/Investmentprodukten. Laut eigenem Status \"✅ PRODUCTION-READY\", Architect-Review bestanden (2025-10-28).",
      "security_count": 0,
      "readiness": {
        "project": "generali",
        "title": "Generali - Versicherung & Investment Platform (generali)",
        "source": "0-REPLIT-MD-EXPORT/generali/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "JavaScript",
          "Next.js",
          "Python"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "generali",
        "title": "Generali - Versicherung & Investment Platform (generali)",
        "source": "0-REPLIT-MD-EXPORT/generali/replit.md",
        "score": 78,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 99,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "4 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 4,
        "security_count": 0
      }
    },
    {
      "project": "genitormatrix",
      "title": "genitormatrix — CODE GENITOR: Theological Science Fiction Trilogy",
      "source": "0-REPLIT-MD-EXPORT/genitormatrix/replit.md",
      "cluster": "Religioes",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS",
        "custom design system"
      ],
      "tags": [
        "theological-fiction",
        "trilogy",
        "storytelling",
        "catholic",
        "sci-fi",
        "ebook",
        "german"
      ],
      "overview": "Epische deutschsprachige Trilogie ueber Glauben, KI und menschliche Erloesung mit durchgaengiger katholischer Theologie, Sakramenten und christlichen Symbolen - positioniert als \"Theological Science Fiction\" im Stil von C.S. Lewis und Philip K. Dick. Alle drei Teile vollstaendig und als publikationsreif markiert.",
      "security_count": 0,
      "readiness": {
        "project": "genitormatrix",
        "title": "genitormatrix — CODE GENITOR: Theological Science Fiction Trilogy",
        "source": "0-REPLIT-MD-EXPORT/genitormatrix/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "genitormatrix",
        "title": "genitormatrix — CODE GENITOR: Theological Science Fiction Trilogy",
        "source": "0-REPLIT-MD-EXPORT/genitormatrix/replit.md",
        "score": 69,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 59,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "genitus-db-online",
      "title": "genitus-db-online — GENITUS File Management System",
      "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "React",
        "TypeScript",
        "Vite",
        "Wouter",
        "TanStack Query",
        "Tailwind CSS",
        "Shadcn/ui",
        "Radix UI",
        "Express.js",
        "Node.js",
        "Drizzle ORM",
        "Neon PostgreSQL",
        "OpenAI GPT-4o",
        "Framer Motion"
      ],
      "tags": [
        "file-management",
        "database",
        "GENITUS",
        "AI-Copilot",
        "auto-categorization",
        "drag-and-drop",
        "admin-tool",
        "HTML-Katalog"
      ],
      "overview": "React+Express+PostgreSQL-Anwendung zur zentralen Verwaltung und Kategorisierung tausender HTML-Dateien im \"GENITUS\"-Oekosystem — einer umfangreichen Sammlung von KI-Tools, Trading-Plattformen, Bildungsressourcen, Spielen und Business-Apps (laut `metrics_export.txt`: **1.700+ HTML-Anwendungen in 16 Kategorien**). Das System erlaubt Browsen, Kategorisieren, Suchen und Verwalten dieser Dateien, mit KI-gestuetzten Features fuer automatische Kategorisierung, Inhaltsanalyse und intelligente Organisation via OpenAI GPT-4o.",
      "security_count": 1,
      "readiness": {
        "project": "genitus-db-online",
        "title": "genitus-db-online — GENITUS File Management System",
        "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md",
        "score": 78,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Clerk",
          "Drizzle",
          "Express",
          "JavaScript",
          "Node.js",
          "PostgreSQL",
          "React",
          "Supabase",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "genitus-db-online",
        "title": "genitus-db-online — GENITUS File Management System",
        "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md",
        "score": 88,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "24 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 24,
        "security_count": 1
      }
    },
    {
      "project": "GenitusBroker",
      "title": "Genitus Inc. - Realtime AI Robo Advisor",
      "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Node.js",
        "Express",
        "Python",
        "yfinance"
      ],
      "tags": [
        "robo-advisor",
        "stocks",
        "dashboard",
        "yfinance",
        "node-python-hybrid",
        "indices"
      ],
      "overview": "\"Robo Advisor\"-Dashboard fuer Echtzeit-Marktdaten (Aktienindizes, Intraday-Kurse). Titel der Standalone-Version: \"Realtime AI - Premium ROBO ADVISOR by Genitus Inc\". Ungewoehnliche Node+Python-Hybrid-Architektur: Express ruft ein Python-Skript (`yfinance`) als Subprozess auf statt eigener HTTP-Client-Logik.",
      "security_count": 0,
      "readiness": {
        "project": "GenitusBroker",
        "title": "Genitus Inc. - Realtime AI Robo Advisor",
        "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Node.js",
          "Python",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "GenitusBroker",
        "title": "Genitus Inc. - Realtime AI Robo Advisor",
        "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "genitusorg",
      "title": "Genitus Inc. - AI Software Factory (genitusorg)",
      "source": "0-REPLIT-MD-EXPORT/genitusorg/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "C",
      "tech_stack": [
        "Static HTML",
        "Font Awesome",
        "Google Fonts"
      ],
      "tags": [
        "landingpage",
        "unternehmen",
        "seo",
        "static",
        "corporate",
        "genitus"
      ],
      "overview": "Statische Unternehmens-/Marketing-Landingpage für \"Genitus Inc.\": positioniert das Unternehmen als KI-Software-Schmiede mit Fokus auf Fintech-Produkte (CelestiaOS-Ökosystem, GlobalFintech, GoldShield AI).",
      "security_count": 0,
      "readiness": {
        "project": "genitusorg",
        "title": "Genitus Inc. - AI Software Factory (genitusorg)",
        "source": "0-REPLIT-MD-EXPORT/genitusorg/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "genitusorg",
        "title": "Genitus Inc. - AI Software Factory (genitusorg)",
        "source": "0-REPLIT-MD-EXPORT/genitusorg/replit.md",
        "score": 62,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 87,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren."
        ],
        "dependency_count": 0,
        "security_count": 0
      }
    },
    {
      "project": "GenitusTrade",
      "title": "Genitus Inc. - Trading Platform",
      "source": "0-REPLIT-MD-EXPORT/GenitusTrade/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS/JS",
        "Chart.js",
        "Spectre.css"
      ],
      "tags": [
        "trading-simulation",
        "game",
        "static",
        "demo",
        "portfolio"
      ],
      "overview": "Statische Trading-Plattform-Oberflaeche mit simuliertem Aktienhandel (\"Genitus Inc. Stock Trading\"). Zwei Varianten im selben Ordner, beide mit Titel \"Genitus Inc. - Trading Platform\".",
      "security_count": 0,
      "readiness": {
        "project": "GenitusTrade",
        "title": "Genitus Inc. - Trading Platform",
        "source": "0-REPLIT-MD-EXPORT/GenitusTrade/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "JavaScript",
          "Svelte",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "GenitusTrade",
        "title": "Genitus Inc. - Trading Platform",
        "source": "0-REPLIT-MD-EXPORT/GenitusTrade/replit.md",
        "score": 61,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 80,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "4 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 4,
        "security_count": 0
      }
    },
    {
      "project": "genrali2",
      "title": "Generali Insurance & Investment Tools (genrali2)",
      "source": "0-REPLIT-MD-EXPORT/genrali2/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Vanilla JS",
        "Materialize CSS",
        "Chart.js",
        "jsPDF",
        "Signature Pad"
      ],
      "tags": [
        "insurance",
        "generali",
        "sales-bot",
        "contract-generation",
        "pdf",
        "digital-signature"
      ],
      "overview": "Deutschsprachige Client-Side-Single-Page-Anwendung fuer Generali mit interaktiven Finanzplanungs- und Versicherungsberatungs-Tools (Zinseszins, Rente, Steuer, Asset-Allocation, ETF-Vergleich, BU-Risiko, Szenarienplanung) sowie einem KI-gestuetzten Versicherungs-Verkaufsbot mit Vertragsgenerierung und digitaler Signatur (`LeGeneral.html`).",
      "security_count": 0,
      "readiness": {
        "project": "genrali2",
        "title": "Generali Insurance & Investment Tools (genrali2)",
        "source": "0-REPLIT-MD-EXPORT/genrali2/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "genrali2",
        "title": "Generali Insurance & Investment Tools (genrali2)",
        "source": "0-REPLIT-MD-EXPORT/genrali2/replit.md",
        "score": 76,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 98,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "GLOBALFINTECH",
      "title": "GoldShield AI - Premium Financial Intelligence (GLOBALFINTECH)",
      "source": "0-REPLIT-MD-EXPORT/GLOBALFINTECH/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "PWA-Manifest",
        "JSON-LD/Schema.org"
      ],
      "tags": [
        "goldshield",
        "landingpage",
        "seo",
        "fintech",
        "pwa",
        "static",
        "marketing"
      ],
      "overview": "Eine einzelne, sehr umfangreich SEO-optimierte statische Landingpage/App für \"GoldShield AI\", Marke von Genitus Inc. (Daniel Gereci, CEO). KI-gestützte Finanzanalysen, AI Trading Systeme, AI Investment Consulting, technische Indikatoren (RSI, SMA, Bollinger Bands), Echtzeit-Marktdaten. Firmensitz laut Geo-Tags: Düsseldorf & Newark, Delaware (Domvs Aurea O.P.N.). Kanonische Domain: `globalfintech.net`.",
      "security_count": 0,
      "readiness": {
        "project": "GLOBALFINTECH",
        "title": "GoldShield AI - Premium Financial Intelligence (GLOBALFINTECH)",
        "source": "0-REPLIT-MD-EXPORT/GLOBALFINTECH/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "GLOBALFINTECH",
        "title": "GoldShield AI - Premium Financial Intelligence (GLOBALFINTECH)",
        "source": "0-REPLIT-MD-EXPORT/GLOBALFINTECH/replit.md",
        "score": 71,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "GlobalNewsCentral",
      "title": "GlobalNewsCentral — NEWSFLOW.AI",
      "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md",
      "cluster": "Sonstiges",
      "status": "prototype",
      "rebuild_grade": "A",
      "tech_stack": [
        "Express",
        "Node.js",
        "TypeScript",
        "rss-parser",
        "React",
        "Vite",
        "Drizzle-style schema",
        "Orbitron",
        "Share Tech Mono"
      ],
      "tags": [
        "news-aggregator",
        "rss",
        "cyberpunk",
        "orbitron",
        "multi-category",
        "trending",
        "csv-export",
        "neural-orbitron"
      ],
      "overview": "NEWSFLOW.AI ist ein Express/TypeScript-Backend, das RSS-Feeds aus fünf Kategorien (general, business, technology, science, religion) von einer breiten Quellenliste (Reuters, NYT, Guardian, Welt.de, Handelsblatt, FAZ, Bloomberg, TechCrunch, Wired, The Verge, Heise, Golem, Spektrum, NASA, Vatican News, Kath.net, Domradio u. a.) parst, dedupliziert und über eine REST-API ausliefert. Die interaktive React-Oberfläche ist im vorliegenden Extrakt nicht enthalten (nur der generische Vite-Shell in `client/index.html`); als vollständige, eigenständig lauffähige Referenz für Content und Design dient der ...",
      "security_count": 0,
      "readiness": {
        "project": "GlobalNewsCentral",
        "title": "GlobalNewsCentral — NEWSFLOW.AI",
        "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Drizzle",
          "Express",
          "JavaScript",
          "Next.js",
          "Node.js",
          "PostgreSQL",
          "React",
          "Supabase",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "GlobalNewsCentral",
        "title": "GlobalNewsCentral — NEWSFLOW.AI",
        "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md",
        "score": 79,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "11 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 11,
        "security_count": 0
      }
    },
    {
      "project": "goldi1",
      "title": "goldi1 — GoldShield Trading AI",
      "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "TypeScript",
        "Express",
        "OpenAI GPT-4o",
        "PostgreSQL",
        "JWT",
        "Stripe",
        "EOD API"
      ],
      "tags": [
        "trading-chatbot",
        "ai-analysis",
        "subscription",
        "jwt-auth",
        "stripe",
        "react",
        "express"
      ],
      "overview": "Premium-Finanz-KI-Chatbot-Plattform mit React/TypeScript-Frontend und Express-Backend, die Echtzeit-Marktdatenanalyse (EOD Historical Data API) mit OpenAI-GPT-4o-gestuetzten Trading-Insights kombiniert. JWT-Token-basierte Premium-Zugangskontrolle mit Stripe-Abo-Integration.",
      "security_count": 0,
      "readiness": {
        "project": "goldi1",
        "title": "goldi1 — GoldShield Trading AI",
        "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md",
        "score": 78,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JWT",
          "JavaScript",
          "PostgreSQL",
          "React",
          "Stripe",
          "TypeScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "goldi1",
        "title": "goldi1 — GoldShield Trading AI",
        "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md",
        "score": 88,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 97,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "goldi1-archiv-20260608",
      "title": "GoldShield Trading AI (Archiv)",
      "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260608/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "archiv-duplikat",
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      "tech_stack": [
        "React",
        "TypeScript",
        "Express.js",
        "PostgreSQL",
        "EOD Historical Data API",
        "OpenAI GPT-4o",
        "JWT",
        "Stripe"
      ],
      "tags": [
        "archiv",
        "goldshield",
        "trading-ai",
        "chatbot",
        "dvag",
        "genitus",
        "stripe",
        "jwt",
        "premium-access"
      ],
      "overview": "",
      "security_count": 0,
      "readiness": {
        "project": "goldi1-archiv-20260608",
        "title": "GoldShield Trading AI (Archiv)",
        "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260608/replit.md",
        "score": 53,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 78,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 45,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JWT",
          "JavaScript",
          "PostgreSQL",
          "React",
          "Stripe",
          "TypeScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "goldi1-archiv-20260608",
        "title": "GoldShield Trading AI (Archiv)",
        "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260608/replit.md",
        "score": 66,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 85,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "7 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 7,
        "security_count": 0
      }
    },
    {
      "project": "goldi1-archiv-20260622-a",
      "title": "goldi1 (archivierte Version, Stand 2026-06-22)",
      "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260622-a/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "archiv-duplikat",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "EOD Historical Data API",
        "OpenAI GPT-4o"
      ],
      "tags": [
        "archiv",
        "duplikat",
        "goldshield",
        "chatbot",
        "trading",
        "siehe-kanonisch"
      ],
      "overview": "",
      "security_count": 0,
      "readiness": {
        "project": "goldi1-archiv-20260622-a",
        "title": "goldi1 (archivierte Version, Stand 2026-06-22)",
        "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260622-a/replit.md",
        "score": 56,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 45,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JWT",
          "React",
          "Stripe"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "goldi1-archiv-20260622-a",
        "title": "goldi1 (archivierte Version, Stand 2026-06-22)",
        "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260622-a/replit.md",
        "score": 63,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 70,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "4 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 4,
        "security_count": 0
      }
    },
    {
      "project": "GoldshieldTracker",
      "title": "Goldshield AI - Stock Tracker",
      "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Python",
        "Flask",
        "Jinja2",
        "Chart.js",
        "EOD API"
      ],
      "tags": [
        "stocks",
        "long-short",
        "signal",
        "flask",
        "dashboard",
        "pivot-analysis"
      ],
      "overview": "Single-Stock-Dashboard, das historische EOD-Kursdaten abruft und per Vergleich des aktuellen Schlusskurses gegen einen \"Pivot\"-Preis (letzter Freitag des Vormonats) eine LONG/SHORT-Empfehlung generiert. Nutzer koennen per Suchformular beliebige Ticker abfragen; Server-seitig gerendertes Bootstrap-Dashboard mit Sentiment-Bar und Chart.js-Kurschart.",
      "security_count": 0,
      "readiness": {
        "project": "GoldshieldTracker",
        "title": "Goldshield AI - Stock Tracker",
        "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Chart.js",
          "JavaScript",
          "Python",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "GoldshieldTracker",
        "title": "Goldshield AI - Stock Tracker",
        "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md",
        "score": 80,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 99,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "GoldShieldTrading",
      "title": "GoldShield AI Trading (Genitus Inc.)",
      "source": "0-REPLIT-MD-EXPORT/GoldShieldTrading/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "React (ungenutzt)",
        "Express (ungenutzt)"
      ],
      "tags": [
        "goldshield",
        "landingpage",
        "trading",
        "marketing",
        "static",
        "robo-advisor"
      ],
      "overview": "Marketing-/Landingpage für \"GoldShield AI - Premium Financial Intelligence\" unter der Marke \"Genitus Inc.\". Bewirbt eine KI-Trading-Suite mit \"Daniel.AI Robo Advisor\", Zugang zu 70+ globalen Börsen, Fibonacci-Analyse und \"Vision AI\"-Features. Ein React/Express-Gerüst existiert daneben, ist aber funktionslos.",
      "security_count": 0,
      "readiness": {
        "project": "GoldShieldTrading",
        "title": "GoldShield AI Trading (Genitus Inc.)",
        "source": "0-REPLIT-MD-EXPORT/GoldShieldTrading/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "GoldShieldTrading",
        "title": "GoldShield AI Trading (Genitus Inc.)",
        "source": "0-REPLIT-MD-EXPORT/GoldShieldTrading/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "gptKEYserver",
      "title": "Secret Vault Server (gptKEYserver)",
      "source": "0-REPLIT-MD-EXPORT/gptKEYserver/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "C",
      "tech_stack": [
        "Node.js",
        "Express"
      ],
      "tags": [
        "secret-vault",
        "api-keys",
        "infrastructure",
        "backend-only",
        "security",
        "proxy"
      ],
      "overview": "Zentralisierter Secret-Vault-Server, der API-Keys fuer mehrere Dienste (Mistral, Anthropic/Claude, Perplexity, EOD Financial, Stripe, Gemini) sicher verwaltet und ueber einen einzigen Endpunkt an alle Web-Apps im Genitus/DOMVS-AVREA-Oekosystem verteilt. Leichtgewichtiger, zustandsloser Express-Server mit Header-basierter Authentifizierung.",
      "security_count": 0,
      "readiness": {
        "project": "gptKEYserver",
        "title": "Secret Vault Server (gptKEYserver)",
        "source": "0-REPLIT-MD-EXPORT/gptKEYserver/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Express",
          "JavaScript",
          "Node.js",
          "Stripe"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "gptKEYserver",
        "title": "Secret Vault Server (gptKEYserver)",
        "source": "0-REPLIT-MD-EXPORT/gptKEYserver/replit.md",
        "score": 82,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 98,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 74,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "HealthAiCompanion",
      "title": "MedAssist - German Medical AI Assistant",
      "source": "0-REPLIT-MD-EXPORT/HealthAiCompanion/replit.md",
      "cluster": "Sonstiges",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "PostgreSQL",
        "Drizzle ORM",
        "OpenAI GPT-4o-mini",
        "Web Speech API"
      ],
      "tags": [
        "medizin",
        "chatbot",
        "gesundheit",
        "dsgvo",
        "sprache",
        "deutsch",
        "react",
        "ki-assistent"
      ],
      "overview": "Deutschsprachiger medizinischer KI-Assistent als Full-Stack-Web-App: Chat-Interface mit Spracherkennung, Konversationsverwaltung und verpflichtendem medizinischem Disclaimer-System, GDPR-konform.",
      "security_count": 0,
      "readiness": {
        "project": "HealthAiCompanion",
        "title": "MedAssist - German Medical AI Assistant",
        "source": "0-REPLIT-MD-EXPORT/HealthAiCompanion/replit.md",
        "score": 72,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "Node.js",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "HealthAiCompanion",
        "title": "MedAssist - German Medical AI Assistant",
        "source": "0-REPLIT-MD-EXPORT/HealthAiCompanion/replit.md",
        "score": 76,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 96,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "9 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 9,
        "security_count": 0
      }
    },
    {
      "project": "HEIKIN-ASHI-1",
      "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
      "source": "0-REPLIT-MD-EXPORT/HEIKIN-ASHI-1/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS/JS",
        "Lightweight Charts",
        "EOD API"
      ],
      "tags": [
        "momentum-scanner",
        "heikin-ashi",
        "mtf-analysis",
        "static",
        "global-markets"
      ],
      "overview": "Statischer, weltweiter Momentum-Scanner (\"MEGA STOCKS - Global Momentum Scanner\") mit Heikin-Ashi-Flip-Erkennung, Multi-Timeframe-Analyse (Alexander Elders Triple Screen) und STOP-ENTRY-TRIGGER-Berechnung, deploybar als reine statische Site. Enthaelt zudem mehrere verwandte Standalone-Tools (Chat, IDE, Stack-Uebersicht) im selben Ordner.",
      "security_count": 0,
      "readiness": {
        "project": "HEIKIN-ASHI-1",
        "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
        "source": "0-REPLIT-MD-EXPORT/HEIKIN-ASHI-1/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "JavaScript",
          "Lightweight Charts",
          "Vercel",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "HEIKIN-ASHI-1",
        "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
        "source": "0-REPLIT-MD-EXPORT/HEIKIN-ASHI-1/replit.md",
        "score": 70,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 93,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "history",
      "title": "history — Geschichtsbibliotheken Projekt (100% Complete)",
      "source": "0-REPLIT-MD-EXPORT/history/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS/JS",
        "static site",
        "JSON data"
      ],
      "tags": [
        "history-education",
        "ebook-library",
        "static-site",
        "search",
        "mobile-responsive",
        "german"
      ],
      "overview": "Statische, produktionsreife Bildungsplattform mit zwei parallelen Geschichts-Bibliotheken (206 eBooks \"Gruene Library\" + 175 Kapitel \"Blaue Library\") fuer deutsche Schueler (12-18 Jahre), inkl. Suchfunktion, Burger-Menu-Navigation und vollstaendigem Mobile-Responsive-Design. Laut eigener Statusangabe 91% durchschnittliche Content-Vollstaendigkeit bei 100% funktionaler Vollstaendigkeit.",
      "security_count": 0,
      "readiness": {
        "project": "history",
        "title": "history — Geschichtsbibliotheken Projekt (100% Complete)",
        "source": "0-REPLIT-MD-EXPORT/history/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "history",
        "title": "history — Geschichtsbibliotheken Projekt (100% Complete)",
        "source": "0-REPLIT-MD-EXPORT/history/replit.md",
        "score": 64,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "HTML-BACKUP",
      "title": "HTML-BACKUP — Vulgata Chronica Bibel-Galerie & Kreuzweg",
      "source": "0-REPLIT-MD-EXPORT/HTML-BACKUP/replit.md",
      "cluster": "Religioes",
      "status": "prototype",
      "rebuild_grade": "A",
      "tech_stack": [
        "HTML",
        "CSS",
        "Vanilla JS",
        "Google Fonts",
        "Font Awesome"
      ],
      "tags": [
        "bibel-galerie",
        "kreuzweg",
        "via-crucis",
        "katholisch",
        "kalender",
        "andacht",
        "religioes"
      ],
      "overview": "Ein flaches Backup/Export-Verzeichnis katholischer HTML-Einzelseiten ohne Server, Build-System oder Framework. Kernstueck ist eine 365-Tage-Bibelbild-Galerie (\"Vulgata Chronica\"), ergaenzt um einen Bibelkalender, den Kreuzweg (Via Crucis, 14 Stationen) und zwei Evangelium-Diashows. Die eigentlichen Quelldateien liegen im Unterordner `HTML-BACKUP\\HTML-BACKUP\\` (verschachtelte ZIP-Struktur), nicht auf der Wurzelebene.",
      "security_count": 0,
      "readiness": {
        "project": "HTML-BACKUP",
        "title": "HTML-BACKUP — Vulgata Chronica Bibel-Galerie & Kreuzweg",
        "source": "0-REPLIT-MD-EXPORT/HTML-BACKUP/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "JavaScript",
          "Netlify"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "HTML-BACKUP",
        "title": "HTML-BACKUP — Vulgata Chronica Bibel-Galerie & Kreuzweg",
        "source": "0-REPLIT-MD-EXPORT/HTML-BACKUP/replit.md",
        "score": 75,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 95,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "html-export",
      "title": "html-export — Katholisch-KI Plattform (Quantum Spiritual OS)",
      "source": "0-REPLIT-MD-EXPORT/html-export/replit.md",
      "cluster": "Religioes",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML/CSS/JS",
        "Google Fonts (Orbitron",
        "Merriweather",
        "Cinzel)",
        "Font Awesome"
      ],
      "tags": [
        "katholisch",
        "religion",
        "ki-gebet",
        "beichtspiegel",
        "dogmen",
        "heiligenlexikon",
        "apologetik",
        "ebook-marktplatz"
      ],
      "overview": "Ein umfangreicher statischer Export einer katholischen KI-/Spiritualitaets-Plattform (\"Katholisch-KI\"), betrieben unter der Domain `kathbot.replit.app`. Ueber 40 eigenstaendige HTML-Seiten decken einen KI-Gebetsassistenten, ein Beichtspiegel-Tool, ein Priester-Toolkit, ein Heiligenlexikon, einen 245-Dogmen-Katalog, Papst-/Kardinal-Biografien, Kinder-Katechese, Apologetik und einen eBook-Marktplatz ab. Mehrere Seiten existieren doppelt als \"standalone\"-Variante (funktioniert komplett offline/autark ohne externe Assets).",
      "security_count": 0,
      "readiness": {
        "project": "html-export",
        "title": "html-export — Katholisch-KI Plattform (Quantum Spiritual OS)",
        "source": "0-REPLIT-MD-EXPORT/html-export/replit.md",
        "score": 69,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "html-export",
        "title": "html-export — Katholisch-KI Plattform (Quantum Spiritual OS)",
        "source": "0-REPLIT-MD-EXPORT/html-export/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 95,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "Huashaltsbuch",
      "title": "DVAG Finance Application (Huashaltsbuch)",
      "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "PostgreSQL",
        "Drizzle",
        "Claude Vision",
        "Mistral Codestral"
      ],
      "tags": [
        "dvag",
        "finance",
        "ocr",
        "budget",
        "ai-code-generator",
        "household-budget",
        "pdf-extraction"
      ],
      "overview": "Production-ready DVAG-Finanzanwendung: OCR-/PDF-Transaktionsextraktion, persoenliches Haushaltsbuch, und ein KI-Code-Generator (\"LeCode Buchfuehrungs-Generator\"). Voller React/Express/PostgreSQL-Stack, ergaenzt durch mehrere eigenstaendige HTML-Tools (`DVAG-rechner-corporate.html`, `LeCode.html`, `LeClaude.html`, `LeCHATGPT.html`, `VORSTUER.html`, `tradingplan-ebook.html`).",
      "security_count": 0,
      "readiness": {
        "project": "Huashaltsbuch",
        "title": "DVAG Finance Application (Huashaltsbuch)",
        "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "JavaScript",
          "Node.js",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "Huashaltsbuch",
        "title": "DVAG Finance Application (Huashaltsbuch)",
        "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md",
        "score": 85,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "9 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 9,
        "security_count": 0
      }
    },
    {
      "project": "INDEX-CONTROL",
      "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
      "source": "0-REPLIT-MD-EXPORT/INDEX-CONTROL/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS/JS",
        "Font Awesome"
      ],
      "tags": [
        "command-center",
        "portal",
        "desktop-ui",
        "navigation-hub",
        "genitus",
        "static"
      ],
      "overview": "Statisches, Desktop-OS-artiges \"Command Center\" (Titel: **\"⚙️ GENITUS-CONTROL v3 - Smart Command Center\"**), das als zentraler Navigations-Hub zu Dutzenden Genitus/DOMVS-AVREA-Sub-Apps dient. Nutzt eine iOS-bewusste Taskbar-Metapher (`body.is-ios`-Klasse) und ein dunkles, goldakzentuiertes Sci-Fi-Theme.",
      "security_count": 2,
      "readiness": {
        "project": "INDEX-CONTROL",
        "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
        "source": "0-REPLIT-MD-EXPORT/INDEX-CONTROL/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 2
      },
      "rebuildability": {
        "project": "INDEX-CONTROL",
        "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
        "source": "0-REPLIT-MD-EXPORT/INDEX-CONTROL/replit.md",
        "score": 61,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 59,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 2
      }
    },
    {
      "project": "IntraTradeAnalyzer-1",
      "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
      "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "WebSocket",
        "lightweight-charts",
        "Yahoo Finance API"
      ],
      "tags": [
        "trading",
        "charts",
        "websocket",
        "echtzeit",
        "signale",
        "react",
        "candlestick"
      ],
      "overview": "Echtzeit-Trading-Analyse-Plattform (React + Express + WebSocket): Live-Aktienkurs-Visualisierung, Trade-Signal-Generierung und Positionsgrößen-Rechner. Interaktive Candlestick-Charts (lightweight-charts) mit Echtzeit-Streaming von Yahoo Finance.",
      "security_count": 1,
      "readiness": {
        "project": "IntraTradeAnalyzer-1",
        "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
        "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Drizzle",
          "Express",
          "JavaScript",
          "Node.js",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "IntraTradeAnalyzer-1",
        "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
        "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md",
        "score": 71,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "11 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 11,
        "security_count": 1
      }
    },
    {
      "project": "joojo",
      "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
      "source": "0-REPLIT-MD-EXPORT/joojo/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "Tailwind CSS",
        "Vanilla JS"
      ],
      "tags": [
        "lernapp",
        "quiz",
        "gymnasium",
        "nrw",
        "bildung",
        "cyberpunk",
        "static",
        "verschluesselung"
      ],
      "overview": "Deutsche Lernapp mit interaktiven Tests/Quizzes über 8 Hauptfächer für Gymnasiasten in Nordrhein-Westfalen. Futuristisches \"Obitron Neural Style\"-Design, zeitgesteuerte Tests mit automatischer Bewertung, Lernfortschritts-Tracking. 109 vollständige, curriculum-abgestimmte Tests mit vollständiger Bildintegration, laut eigener Doku explizit \"PRODUCTION READY\".",
      "security_count": 0,
      "readiness": {
        "project": "joojo",
        "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
        "source": "0-REPLIT-MD-EXPORT/joojo/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "joojo",
        "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
        "source": "0-REPLIT-MD-EXPORT/joojo/replit.md",
        "score": 71,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "kath-ki",
      "title": "Katholisch-KI (kath-ki)",
      "source": "0-REPLIT-MD-EXPORT/kath-ki/replit.md",
      "cluster": "Religioes",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML/CSS",
        "Bootstrap",
        "Font Awesome"
      ],
      "tags": [
        "catholic",
        "education",
        "ebooks",
        "ai-tools",
        "german",
        "multilingual",
        "static"
      ],
      "overview": "Katholische Bildungsplattform (Katholisch-KI), die KI-gestuetzte spirituelle Ressourcen, digitale eBooks und theologische Informationen bereitstellt. Kombiniert traditionellen katholischen Glauben mit moderner Web-Technologie fuer katechetische Bildung — mehrsprachig (primaer Deutsch, Englisch-Support), inkl. Latein-Lernmaterial.",
      "security_count": 0,
      "readiness": {
        "project": "kath-ki",
        "title": "Katholisch-KI (kath-ki)",
        "source": "0-REPLIT-MD-EXPORT/kath-ki/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "kath-ki",
        "title": "Katholisch-KI (kath-ki)",
        "source": "0-REPLIT-MD-EXPORT/kath-ki/replit.md",
        "score": 74,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 85,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "KI-DZ-Club",
      "title": "KI-Club - AI Workshops for Children",
      "source": "0-REPLIT-MD-EXPORT/KI-DZ-Club/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML/CSS/JS",
        "Semantic UI"
      ],
      "tags": [
        "kids",
        "ai-education",
        "workshop",
        "duesseldorf",
        "landing-page",
        "lead-generation"
      ],
      "overview": "Deutschsprachige Bildungswebsite fuer KI-Workshops fuer Kinder (6-12 Jahre) in Duesseldorf. Rein statische Multi-Page-Site (kein Framework), rebrandet im November 2025 von \"KI-DZ\" zu \"KI-Club\" (Domain ki-club.net). Workshop: 60 Minuten (45 Min Workshop + 15 Min Elterngespraech), 39€ pro Workshop.",
      "security_count": 0,
      "readiness": {
        "project": "KI-DZ-Club",
        "title": "KI-Club - AI Workshops for Children",
        "source": "0-REPLIT-MD-EXPORT/KI-DZ-Club/replit.md",
        "score": 72,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Netlify",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "KI-DZ-Club",
        "title": "KI-Club - AI Workshops for Children",
        "source": "0-REPLIT-MD-EXPORT/KI-DZ-Club/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 94,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 74,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "KORRES",
      "title": "KORRES — FrançaisPro AI-Powered French Learning Application",
      "source": "0-REPLIT-MD-EXPORT/KORRES/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Vanilla JS ES6",
        "Tailwind CSS",
        "Bootstrap 5",
        "OpenAI GPT"
      ],
      "tags": [
        "language-learning",
        "french",
        "delf",
        "gamification",
        "kids-app",
        "chatbot",
        "multilingual"
      ],
      "overview": "KI-gestuetzte Franzoesisch-Lernanwendung fuer DELF-Niveaus (A1-B2) mit Vokabeltraining, KI-Brief-/E-Mail-Generierung, Dialogtraining, Hoerverstaendnis, Uebersetzung und interaktivem Quiz-System. Der Ordner enthaelt zudem mehrere eigenstaendige Zusatz-Apps (LINGUA, Kinder-Lernspiel, Live-Uebersetzung, mehrsprachige eBooks) sowie ein Token-basiertes Login-System.",
      "security_count": 0,
      "readiness": {
        "project": "KORRES",
        "title": "KORRES — FrançaisPro AI-Powered French Learning Application",
        "source": "0-REPLIT-MD-EXPORT/KORRES/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "JavaScript",
          "Stripe",
          "Tailwind CSS",
          "TypeScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "KORRES",
        "title": "KORRES — FrançaisPro AI-Powered French Learning Application",
        "source": "0-REPLIT-MD-EXPORT/KORRES/replit.md",
        "score": 68,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "kostolany",
      "title": "kostolany — Book/Cover Publishing Workspace",
      "source": "0-REPLIT-MD-EXPORT/kostolany/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "C",
      "tech_stack": [
        "HTML/CSS",
        "Bootstrap 5",
        "print.css"
      ],
      "tags": [
        "book-publishing",
        "kdp",
        "ebook",
        "print-cover",
        "finance-book",
        "sci-fi-novel",
        "workspace"
      ],
      "overview": "Ein KDP- (Kindle Direct Publishing/Print-on-Demand) Buchproduktions-Workspace, keine Web-App. Enthaelt vollstaendigen Text und Cover-Artwork fuer mindestens drei separate Buchprojekte, jeweils als eigenstaendige HTML-Dokumente fuer Vorschau/Druck-Export.",
      "security_count": 0,
      "readiness": {
        "project": "kostolany",
        "title": "kostolany — Book/Cover Publishing Workspace",
        "source": "0-REPLIT-MD-EXPORT/kostolany/replit.md",
        "score": 69,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "kostolany",
        "title": "kostolany — Book/Cover Publishing Workspace",
        "source": "0-REPLIT-MD-EXPORT/kostolany/replit.md",
        "score": 74,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 96,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "LANG-CHAIN",
      "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
      "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML",
        "CSS",
        "JS",
        "ApexCharts",
        "Three.js",
        "TensorFlow.js",
        "PDF.js",
        "ACE Editor",
        "Pyodide",
        "JSZip"
      ],
      "tags": [
        "langchain",
        "langgraph",
        "react-agent",
        "hmm-regime-detection",
        "ai-ide",
        "gdpr-privacy",
        "quant-trading"
      ],
      "overview": "LANG-CHAIN (\"⚡ LANGCHAIN STACK // Master Index\", deployed unter `https://lang-chain.replit.app`) ist eine Sammlung von 15 eigenständigen HTML-Tools, die verschiedene LangChain/LangGraph-Architekturmuster demonstrieren — ReAct-Agenten, HMM-basierte Quant-Trading-Terminals, ein vollwertiges browserbasiertes AI-Code-IDE, ein GDPR-Privacy-Scanner mit TensorFlow.js, sowie diverse Utility-/Creative-Agenten (Reise, Wetter, RPG-NPCs, Exoplaneten-Detektor). Jedes Tool ist als Monolith-HTML dokumentiert und nutzt ausschließlich externe API-Proxies aus dem Genitus/Domvs-Avrea-Ökosystem (`theserver-open-a...",
      "security_count": 2,
      "readiness": {
        "project": "LANG-CHAIN",
        "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
        "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Node.js",
          "Python",
          "React",
          "Vue"
        ],
        "risk_count": 2
      },
      "rebuildability": {
        "project": "LANG-CHAIN",
        "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
        "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md",
        "score": 73,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 2
      }
    },
    {
      "project": "latein-bibiothek",
      "title": "latein-bibiothek — Lingua Latina Nova",
      "source": "0-REPLIT-MD-EXPORT/latein-bibiothek/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "HTML5",
        "CSS3",
        "Vanilla JavaScript",
        "Intersection Observer",
        "Google Fonts Crimson Text",
        "Google Fonts Lora",
        "Python http.server"
      ],
      "tags": [
        "Latein",
        "eLearning",
        "Lingua-Latina",
        "comprehensible-input",
        "eBook",
        "Sprachlernen",
        "Vokabular",
        "klassische-Bildung"
      ],
      "overview": "Dreibaendiges Latein-Lehrbuch nach der \"Comprehensible-Input\"-Methodik (inspiriert von \"Lingua Latina per se illustrata\"). **Liber Primus** (`LATINA.html`, 10 Kapitel, Grundstufe), **Liber Secundus** (`LATINA-2.html`, 20 Kapitel XI–XX, fortgeschritten) und **Liber Tertius** (`LATINA-3.html`, 10 Kapitel XXI–XXX, Experten-Niveau mit Dichtung/Rhetorik) plus Begleitmaterial: `VOCABULARIUM.html` (thematischer Wortschatzindex), `CULTURAL_NOTES.html` (roemische Kulturessays) und `index.html` als Portal/Landingpage. Zusaetzlich im Ordner vorhanden, aber nicht Teil der Kern-Trilogie laut Aufgabenstellu...",
      "security_count": 0,
      "readiness": {
        "project": "latein-bibiothek",
        "title": "latein-bibiothek — Lingua Latina Nova",
        "source": "0-REPLIT-MD-EXPORT/latein-bibiothek/replit.md",
        "score": 72,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Netlify",
          "Python",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "latein-bibiothek",
        "title": "latein-bibiothek — Lingua Latina Nova",
        "source": "0-REPLIT-MD-EXPORT/latein-bibiothek/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "4 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 4,
        "security_count": 0
      }
    },
    {
      "project": "LeadHarvester",
      "title": "Lead Extraction Tool (LeadHarvester)",
      "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Flask",
        "BeautifulSoup",
        "Trafilatura",
        "Bootstrap 5"
      ],
      "tags": [
        "lead-generierung",
        "scraping",
        "flask",
        "kontaktdaten",
        "csv-export",
        "b2b"
      ],
      "overview": "Web-basiertes Lead-Generierungs-Tool (Flask): extrahiert Kontaktinformationen (E-Mail, Telefon) von Websites über konfigurierbare Extraktionsmethoden, präsentiert Ergebnisse mit Export-Funktion.",
      "security_count": 0,
      "readiness": {
        "project": "LeadHarvester",
        "title": "Lead Extraction Tool (LeadHarvester)",
        "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Cloudflare",
          "Python",
          "React",
          "Tailwind CSS",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "LeadHarvester",
        "title": "Lead Extraction Tool (LeadHarvester)",
        "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md",
        "score": 64,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 86,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 83,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "LeadHarvester (1)",
      "title": "Lead Extraction Tool (LeadHarvester)",
      "source": "0-REPLIT-MD-EXPORT/LeadHarvester (1)/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Flask",
        "BeautifulSoup",
        "Trafilatura"
      ],
      "tags": [
        "lead-generation",
        "web-scraping",
        "contact-extraction",
        "csv-export",
        "flask"
      ],
      "overview": "Web-basiertes Lead-Generierungs-Tool (Flask), das Kontaktdaten (E-Mail-Adressen, Telefonnummern) von Websites extrahiert. Nutzer geben URLs ein, das Tool scraped sie mit konfigurierbarer Extraktionsmethode und praesentiert die Ergebnisse mit Export-Funktion.",
      "security_count": 0,
      "readiness": {
        "project": "LeadHarvester (1)",
        "title": "Lead Extraction Tool (LeadHarvester)",
        "source": "0-REPLIT-MD-EXPORT/LeadHarvester (1)/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 45,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "JavaScript",
          "Python",
          "SQLite",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "LeadHarvester (1)",
        "title": "Lead Extraction Tool (LeadHarvester)",
        "source": "0-REPLIT-MD-EXPORT/LeadHarvester (1)/replit.md",
        "score": 68,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 86,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "Legal-TECH",
      "title": "Legal-TECH — ORBITRON LEGALTECH",
      "source": "0-REPLIT-MD-EXPORT/Legal-TECH/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Node.js",
        "statischer Export"
      ],
      "tags": [
        "legal-tech",
        "evidence-review",
        "decision-support",
        "pwa",
        "dual-interface"
      ],
      "overview": "Statischer Node.js-Export einer \"ORBITRON LEGALTECH\"-PWA mit zwei bewusst getrennten Verfahrens-Oberflaechen: einem hellen forensischen \"Evidence Lab\" (Pruefterminal) und einem dunklen \"Decision Desk\" (Judge-Terminal). Ausdruecklich als Unterstuetzungswerkzeug positioniert, nicht als autonomes Gericht - menschliche Pruefung vor jeder Fallentscheidung wird explizit gefordert.",
      "security_count": 0,
      "readiness": {
        "project": "Legal-TECH",
        "title": "Legal-TECH — ORBITRON LEGALTECH",
        "source": "0-REPLIT-MD-EXPORT/Legal-TECH/replit.md",
        "score": 69,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Node.js"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "Legal-TECH",
        "title": "Legal-TECH — ORBITRON LEGALTECH",
        "source": "0-REPLIT-MD-EXPORT/Legal-TECH/replit.md",
        "score": 65,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 96,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 59,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "LeMarche-PWA-Export",
      "title": "Le Marché PWA Export",
      "source": "0-REPLIT-MD-EXPORT/LeMarche-PWA-Export/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "React via Babel-Standalone",
        "PWA/Service Worker",
        "Stripe"
      ],
      "tags": [
        "pwa",
        "launcher",
        "trading",
        "paywall",
        "genitus",
        "workshell",
        "static",
        "desktop"
      ],
      "overview": "Kuratierter, eigenständiger Export der \"Le Marché\"-Trading-App-Suite als installierbare PWA unter der Marke \"Genitus Inc.\". Kombiniert ein client-seitiges Login/Paywall-Gate mit einem Desktop-Launcher (\"Workshell\"), der 17 externe statische Trading/Fintech-Sub-Apps (18 Einstiegspunkte) verlinkt. Bewusst ohne die frühere Trading-Dashboard-/Portfolio-Monitor-Komponente.",
      "security_count": 1,
      "readiness": {
        "project": "LeMarche-PWA-Export",
        "title": "Le Marché PWA Export",
        "source": "0-REPLIT-MD-EXPORT/LeMarche-PWA-Export/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "JWT",
          "JavaScript",
          "React",
          "Stripe"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "LeMarche-PWA-Export",
        "title": "Le Marché PWA Export",
        "source": "0-REPLIT-MD-EXPORT/LeMarche-PWA-Export/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 1
      }
    },
    {
      "project": "LeRAG",
      "title": "LeRAG — Genitus AI Chatbot (RAG)",
      "source": "0-REPLIT-MD-EXPORT/LeRAG/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS/JS",
        "RAG",
        "OpenAI/Claude/Mistral-Proxy"
      ],
      "tags": [
        "chatbot",
        "rag",
        "embeddings",
        "multi-model",
        "single-page"
      ],
      "overview": "Einzelseitige, statische Chat-Oberflaeche (\"Genitus AI Chatbot\") mit echter RAG-Funktionalitaet (Retrieval-Augmented Generation): Embeddings-Erzeugung, Vektor-Query und Multi-Modell-Routing (OpenAI/Claude/Mistral) ueber einen gemeinsamen Proxy. Kleinster und am staerksten fokussierter Chat-Client im Bestand (nur `index.html` + diese Doku).",
      "security_count": 0,
      "readiness": {
        "project": "LeRAG",
        "title": "LeRAG — Genitus AI Chatbot (RAG)",
        "source": "0-REPLIT-MD-EXPORT/LeRAG/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "SQLite",
          "Vue"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "LeRAG",
        "title": "LeRAG — Genitus AI Chatbot (RAG)",
        "source": "0-REPLIT-MD-EXPORT/LeRAG/replit.md",
        "score": 80,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 93,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "4 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 4,
        "security_count": 0
      }
    },
    {
      "project": "LeWATCH",
      "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
      "source": "0-REPLIT-MD-EXPORT/LeWATCH/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML",
        "CSS",
        "JS",
        "Bootstrap 5",
        "Font Awesome",
        "Google Fonts"
      ],
      "tags": [
        "trading-hub",
        "iframe-portal",
        "desktop-os-ui",
        "aktiendepot",
        "portfolio-tracker",
        "app-launcher"
      ],
      "overview": "Statischer, Desktop-OS-artiger Hub für Trading-/Watch-Tools. `index.html` zeigt eine App-Grid-Oberfläche (\"FUN & PROFIT\") mit OS-Erkennung (iOS/macOS/Windows-Klassen), aufklappbaren Kategorien und einem Vollbild-iframe-Fenstersystem. Klick auf eine Kachel öffnet das jeweilige Tool per iframe-Overlay mit Titelleiste, \"In neuem Tab öffnen\"- und Schließen-Button. Die referenzierten Tools sind eigenständige, in sich geschlossene Trading-Dashboards (z.B. ein Aktiendepot-Tracker).",
      "security_count": 0,
      "readiness": {
        "project": "LeWATCH",
        "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
        "source": "0-REPLIT-MD-EXPORT/LeWATCH/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "JavaScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "LeWATCH",
        "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
        "source": "0-REPLIT-MD-EXPORT/LeWATCH/replit.md",
        "score": 68,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "liturgie-1",
      "title": "Liturgisches Archiv (liturgie-1)",
      "source": "0-REPLIT-MD-EXPORT/liturgie-1/replit.md",
      "cluster": "Religioes",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "CSS Custom Properties",
        "Google Fonts"
      ],
      "tags": [
        "liturgie",
        "religion",
        "katholisch",
        "orthodox",
        "archiv",
        "static",
        "referenzwerk"
      ],
      "overview": "Statische Website als liturgisches Archiv und Index für katholische und orthodoxe liturgische Texte: umfassende Dokumentation und vergleichende Analyse verschiedener liturgischer Riten (Römisch, Byzantinisch, Armenisch, Syrisch, Koptisch, Slawisch). Inhalt primär Deutsch und Latein, Fokus auf eucharistische Gebete (Hochgebete), Altartheologie, liturgische Reformen.",
      "security_count": 0,
      "readiness": {
        "project": "liturgie-1",
        "title": "Liturgisches Archiv (liturgie-1)",
        "source": "0-REPLIT-MD-EXPORT/liturgie-1/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "liturgie-1",
        "title": "Liturgisches Archiv (liturgie-1)",
        "source": "0-REPLIT-MD-EXPORT/liturgie-1/replit.md",
        "score": 64,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "MajorBotInterface",
      "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "HTML5",
        "React",
        "TypeScript",
        "Tailwind CSS",
        "Express.js",
        "OpenAI GPT-4o",
        "EOD Historical Data API"
      ],
      "tags": [
        "trading-terminal",
        "ai-chat",
        "watchlist",
        "gpt-4o",
        "desktop-os",
        "dvag",
        "domvs-avrea",
        "express"
      ],
      "overview": "KI-gestütztes Trading-Terminal-Projekt, das in zwei parallelen Ausprägungen vorliegt: (1) `LeTerminl.html`, eine eigenständige, self-contained HTML-Seite mit einer Kommandozeilen-artigen Terminal-Oberfläche, GPT-4o-Chat, Watchlist und Quick-Commands; (2) ein React+TypeScript+Tailwind-Frontend (`client/`) mit Express-Backend (`server/`, In-Memory-Storage), das laut Projektdokumentation ein vollständiges \"Desktop-AI-Betriebssystem\" mit Fenstermanagement, Mobile-Terminal und JS-Editor werden soll. Ziel laut Eigenbeschreibung: ein \"Goldman-Sachs-Niveau\"-Trading-Terminal mit Echtzeit-Marktanalyse u...",
      "security_count": 1,
      "readiness": {
        "project": "MajorBotInterface",
        "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
        "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md",
        "score": 58,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 20,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Express",
          "JavaScript",
          "Next.js",
          "Node.js",
          "React",
          "Svelte",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "MajorBotInterface",
        "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
        "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md",
        "score": 66,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 70,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "1 kritische Security-Fundstelle(n) vor dem Rebuild klären.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "13 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 13,
        "security_count": 1
      }
    },
    {
      "project": "MajorBotInterface-lecode",
      "title": "LeCode AI Coding Hub",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "Drizzle ORM",
        "Neon Postgres",
        "iframe-Launcher"
      ],
      "tags": [
        "coding-hub",
        "desktop-ui",
        "launcher",
        "iframe",
        "react",
        "dev-tools",
        "window-manager"
      ],
      "overview": "Desktop-artiger Coding-App-Launcher mit Windows-ähnlicher Oberfläche: draggable Windows, Taskbar, Start-Menü, Zugriff auf 9 Coding-/Entwicklungs-Anwendungen via iframe-Integration. War ursprünglich ein Fintech-App-Hub (24-27 Apps), wurde am 19. Juni 2025 komplett zu einem Coding-Hub transformiert.",
      "security_count": 0,
      "readiness": {
        "project": "MajorBotInterface-lecode",
        "title": "LeCode AI Coding Hub",
        "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md",
        "score": 76,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "PostgreSQL",
          "Python",
          "React",
          "Stripe",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "MajorBotInterface-lecode",
        "title": "LeCode AI Coding Hub",
        "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md",
        "score": 84,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 99,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 95,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "14 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 14,
        "security_count": 0
      }
    },
    {
      "project": "MajorBotInterface-lemarche",
      "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lemarche/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "Drizzle",
        "Neon PostgreSQL",
        "iframe-integration"
      ],
      "tags": [
        "desktop-launcher",
        "fintech-hub",
        "genitus",
        "iframe",
        "window-manager",
        "app-store"
      ],
      "overview": "Desktop-artiger Fintech-App-Launcher im Windows-Stil: draggable Fenster, Taskbar, Start-Menue-Grid mit (laut Changelog zuletzt) 27 eingebetteten Fintech-Apps als iframe-Fenster (Trading-Bots, Analyse-Tools, Finanzdienste). React/Express-Vollversion plus mehrere eigenstaendige Standalone-Varianten (`genitus-desktop-standalone.html`, `genitus-desktop-professional.html`, `finalfintech.html`, `LOGIN.html`).",
      "security_count": 0,
      "readiness": {
        "project": "MajorBotInterface-lemarche",
        "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
        "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lemarche/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "JavaScript",
          "Node.js",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "MajorBotInterface-lemarche",
        "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
        "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lemarche/replit.md",
        "score": 86,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "9 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 9,
        "security_count": 0
      }
    },
    {
      "project": "MarketAnalyzer",
      "title": "MarketAnalyzer - EXECUTED ORDERBOOK AI",
      "source": "0-REPLIT-MD-EXPORT/MarketAnalyzer/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "HTML5",
        "Bootstrap 4",
        "Vanilla JS",
        "Express.js",
        "TypeScript",
        "EOD Historical Data API"
      ],
      "tags": [
        "orderbook",
        "breakout-trading",
        "market-data",
        "eod-api",
        "express-crud",
        "static-html",
        "neon-dashboard"
      ],
      "overview": "MarketAnalyzer besteht aus zwei fast unabhängigen Teilen: einem sehr dünnen Express-Backend mit generischem Markt-Daten-CRUD (ohne erkennbaren React-App-Inhalt) und einer eigenständigen, funktional vollständigen statischen Seite `orderbook-ai-standalone.html` (\"EXECUTED ORDERBOOK AI - All Markets\"). Letztere ist der einzige substanzielle Teil des Projekts: ein dunkles Neon-Dashboard, das für 13 Märkte anhand der letzten drei Freitags-Schlusskurse ein einfaches Breakout-System berechnet und \"ausgeführte\" Long/Short-Positionen mit simuliertem Euro-Gewinn listet.",
      "security_count": 1,
      "readiness": {
        "project": "MarketAnalyzer",
        "title": "MarketAnalyzer - EXECUTED ORDERBOOK AI",
        "source": "0-REPLIT-MD-EXPORT/MarketAnalyzer/replit.md",
        "score": 57,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 20,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "MarketAnalyzer",
        "title": "MarketAnalyzer - EXECUTED ORDERBOOK AI",
        "source": "0-REPLIT-MD-EXPORT/MarketAnalyzer/replit.md",
        "score": 70,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 70,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "1 kritische Security-Fundstelle(n) vor dem Rebuild klären.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 1
      }
    },
    {
      "project": "MARKOV-TRADING",
      "title": "MARKOV-TRADING // Markov Stack — Trend Rider & Gambling Suite",
      "source": "0-REPLIT-MD-EXPORT/MARKOV-TRADING/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML5",
        "CSS Custom Properties",
        "Vanilla JS",
        "Google Fonts (Orbitron",
        "Fira Code)",
        "EOD Historical Data API"
      ],
      "tags": [
        "markov-chain",
        "trading",
        "gambling",
        "backtesting",
        "sports-betting",
        "crypto",
        "forex",
        "blackjack",
        "roulette",
        "static-html"
      ],
      "overview": "MARKOV-TRADING ist eine große, gewachsene Sammlung von über 30 eigenständigen HTML-Quant-Tools rund um Markov-Ketten-basierte Handelsmodelle (\"TREND RIDER\" / \"⚡ MARKOV STACK\"), ergänzt um einen Unterordner `MARKOV-LUCKY/` mit 17 weiteren Markov-basierten Glücksspiel-/Wett-Simulatoren (Blackjack, Roulette, Sportwetten). Alle Tools sind unabhängige Single-File-Apps ohne gemeinsamen Server, verlinkt über handgebaute Index-/Hub-Seiten. Das Projekt deckt Aktien/Indizes, Krypto, Forex, Sportwetten und Casino-Spiele ab, inklusive API-Dokumentation und eines eigenen Review-Reports.",
      "security_count": 0,
      "readiness": {
        "project": "MARKOV-TRADING",
        "title": "MARKOV-TRADING // Markov Stack — Trend Rider & Gambling Suite",
        "source": "0-REPLIT-MD-EXPORT/MARKOV-TRADING/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "MARKOV-TRADING",
        "title": "MARKOV-TRADING // Markov Stack — Trend Rider & Gambling Suite",
        "source": "0-REPLIT-MD-EXPORT/MARKOV-TRADING/replit.md",
        "score": 82,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "mcp-server",
      "title": "GENITUS MCP Hub + Web Claude Code (mcp-server)",
      "source": "0-REPLIT-MD-EXPORT/mcp-server/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "C",
      "tech_stack": [
        "Node.js",
        "Express",
        "simple-git",
        "OpenAI"
      ],
      "tags": [
        "mcp",
        "developer-tools",
        "web-ide",
        "chat",
        "marketplace",
        "git"
      ],
      "overview": "Interaktives Verzeichnis von Model-Context-Protocol(MCP)-Servern mit Live-Connection-Tester, echtem npm-Marketplace, Chat-UI mit Tool-Ausfuehrung, plus einer vollwertigen Web-IDE (\"Web Claude Code\") mit File-Explorer, Editor, Git-Integration und KI-Assistent.",
      "security_count": 0,
      "readiness": {
        "project": "mcp-server",
        "title": "GENITUS MCP Hub + Web Claude Code (mcp-server)",
        "source": "0-REPLIT-MD-EXPORT/mcp-server/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Node.js"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "mcp-server",
        "title": "GENITUS MCP Hub + Web Claude Code (mcp-server)",
        "source": "0-REPLIT-MD-EXPORT/mcp-server/replit.md",
        "score": 83,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 91,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 83,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 97,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "MINDSTAR",
      "title": "MINDSTAR // CODEBREAKER ULTIMATE",
      "source": "0-REPLIT-MD-EXPORT/MINDSTAR/replit.md",
      "cluster": "Games",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "Vanilla HTML/CSS/JS",
        "Node.js Static Server"
      ],
      "tags": [
        "mastermind",
        "spiel",
        "minimax",
        "ki-solver",
        "single-page",
        "static",
        "logikspiel"
      ],
      "overview": "Browser-basiertes Mastermind-Logikspiel: vier Modi (VS AI, PvP, Numbers-Variante, AI Solver), Minimax-basierte KI löst jeden Code in wenigen Zügen. Single-File-HTML/CSS/JS (`mindstar.html`), `index.html` als Redirect-Stub.",
      "security_count": 0,
      "readiness": {
        "project": "MINDSTAR",
        "title": "MINDSTAR // CODEBREAKER ULTIMATE",
        "source": "0-REPLIT-MD-EXPORT/MINDSTAR/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Express",
          "JavaScript",
          "Netlify",
          "Node.js",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "MINDSTAR",
        "title": "MINDSTAR // CODEBREAKER ULTIMATE",
        "source": "0-REPLIT-MD-EXPORT/MINDSTAR/replit.md",
        "score": 61,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 93,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 59,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "ML-Predictin",
      "title": "L'ALGO NEURAL — ML Trading & Macro Intelligence",
      "source": "0-REPLIT-MD-EXPORT/ML-Predictin/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Node.js",
        "Express",
        "TensorFlow.js",
        "World Bank/IMF/FRED APIs"
      ],
      "tags": [
        "lstm",
        "machine-learning",
        "trading",
        "macro-economics",
        "tensorflow",
        "prediction"
      ],
      "overview": "Full-Stack Node.js/Express-App mit TensorFlow.js-LSTM-Netzwerk, das echte Markt-Kursdaten (Aktien/Krypto/Forex) laedt, ein LSTM live trainiert und die naechste Trendrichtung (UP/DOWN/NEUTRAL) mit Confidence-Score vorhersagt — ausgegeben auf einem cyberpunk-gestylten Dashboard. Zweites Dashboard \"L'ALGO MACRO\" macht dasselbe fuer Makro-Indikatoren (BIP, Inflation, Arbeitslosigkeit u.a.) aus World Bank/IMF/FRED-Daten inkl. Prognosen bis 2031.",
      "security_count": 0,
      "readiness": {
        "project": "ML-Predictin",
        "title": "L'ALGO NEURAL — ML Trading & Macro Intelligence",
        "source": "0-REPLIT-MD-EXPORT/ML-Predictin/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Lightweight Charts",
          "Node.js",
          "SQLite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "ML-Predictin",
        "title": "L'ALGO NEURAL — ML Trading & Macro Intelligence",
        "source": "0-REPLIT-MD-EXPORT/ML-Predictin/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "ModernCoder",
      "title": "Python IDE (ModernCoder)",
      "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "WebSocket",
        "Monaco Editor",
        "Mistral Codestral"
      ],
      "tags": [
        "ide",
        "python",
        "code-execution",
        "monaco",
        "ai-assistant",
        "websocket",
        "terminal"
      ],
      "overview": "Modernes, VS-Code-artiges Python-IDE als Full-Stack-Web-App: React-Frontend mit Monaco-Editor, Express-Backend mit WebSocket-basierter Echtzeit-Code-Ausfuehrung, Datei-Explorer, Terminal und integriertem Mistral-Codestral-KI-Assistenten. Laut eigenem Status \"voll funktionsfaehig\".",
      "security_count": 1,
      "readiness": {
        "project": "ModernCoder",
        "title": "Python IDE (ModernCoder)",
        "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "JavaScript",
          "Node.js",
          "PostgreSQL",
          "Python",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "ModernCoder",
        "title": "Python IDE (ModernCoder)",
        "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md",
        "score": 85,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 98,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "10 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 10,
        "security_count": 1
      }
    },
    {
      "project": "MOURINHO",
      "title": "MOURINHO — Football Academy Pro / SFD '75",
      "source": "0-REPLIT-MD-EXPORT/MOURINHO/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS",
        "Bootstrap 5",
        "Chart.js",
        "Python http.server"
      ],
      "tags": [
        "sports-academy",
        "static-site",
        "ebook",
        "football",
        "basketball",
        "youth-sports"
      ],
      "overview": "Statische Multi-Page-Website fuer die Jugend-Fussball-/Basketball-Akademie \"SFD '75\", gebrandet als \"Football Academy Pro - Mourinho Method\". Kombiniert ein Trainings-/Akademie-Dashboard mit Werbe- und Bildungsinhalten (Fussball-Tricks-eBook auf Deutsch und Englisch, Basketball-Tricks, Sportprogramm-Uebersicht, Vereinsinfo), verbunden ueber einen Apps-Index.",
      "security_count": 0,
      "readiness": {
        "project": "MOURINHO",
        "title": "MOURINHO — Football Academy Pro / SFD '75",
        "source": "0-REPLIT-MD-EXPORT/MOURINHO/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Chart.js",
          "JavaScript",
          "Netlify",
          "Python",
          "Tailwind CSS",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "MOURINHO",
        "title": "MOURINHO — Football Academy Pro / SFD '75",
        "source": "0-REPLIT-MD-EXPORT/MOURINHO/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "7 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 7,
        "security_count": 0
      }
    },
    {
      "project": "NACHHILFE",
      "title": "NACHHILFE — Sprachgrammatik- & Formel-Bibliothek",
      "source": "0-REPLIT-MD-EXPORT/NACHHILFE/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS/JS",
        "static"
      ],
      "tags": [
        "tutoring",
        "grammar",
        "formulas",
        "multilingual",
        "education",
        "static"
      ],
      "overview": "Statische Nachhilfe-/Lernbibliothek mit Kern-Fokus auf Sprachgrammatik (5 Sprachen) und einer umfangreichen Formelsammlung, unter `NACHHILFE-EXPORT/`. Zusaetzlich existiert ein detaillierter Ausbauplan fuer einen neuen Grundschul-Bereich (Klassen 1-4), der aktuell nur als Plan/Prototypen vorliegt, nicht als fertige Seiten.",
      "security_count": 0,
      "readiness": {
        "project": "NACHHILFE",
        "title": "NACHHILFE — Sprachgrammatik- & Formel-Bibliothek",
        "source": "0-REPLIT-MD-EXPORT/NACHHILFE/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "NACHHILFE",
        "title": "NACHHILFE — Sprachgrammatik- & Formel-Bibliothek",
        "source": "0-REPLIT-MD-EXPORT/NACHHILFE/replit.md",
        "score": 64,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 97,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 74,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "NEURAL-PORTFOLIO",
      "title": "NEURAL-PORTFOLIO // AI-Signal Portfolio Dashboard Suite",
      "source": "0-REPLIT-MD-EXPORT/NEURAL-PORTFOLIO/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "HTML5",
        "CSS Custom Properties",
        "Vanilla JS",
        "Orbitron Font",
        "GPT-4o-mini",
        "EOD Historical Data API via Proxy"
      ],
      "tags": [
        "portfolio-tracking",
        "ai-signals",
        "gpt-4o-mini",
        "dashboard",
        "sector-allocation",
        "csv-export",
        "genussschein",
        "domvs-avrea"
      ],
      "overview": "NEURAL-PORTFOLIO (deployed unter `https://neural-portfolio.replit.app`) ist eine kleine, fokussierte Suite aus vier zusammenhängenden Dashboards für Portfolio-Tracking mit KI-Signalen: eine Hauptportfolio-Ansicht mit GPT-4o-mini-gestützten Kauf/Verkauf-Signalen, ein Fund-Landingpage-Überblick, ein detaillierter Fund-Tracker sowie ein Genussschein-Tracker im Domvs-Avrea-Branding. Alle vier Seiten teilen dieselbe Neon-Navigation und sind über absolute URLs (nicht relative Links) miteinander verknüpft.",
      "security_count": 0,
      "readiness": {
        "project": "NEURAL-PORTFOLIO",
        "title": "NEURAL-PORTFOLIO // AI-Signal Portfolio Dashboard Suite",
        "source": "0-REPLIT-MD-EXPORT/NEURAL-PORTFOLIO/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "React",
          "Vite",
          "Vue"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "NEURAL-PORTFOLIO",
        "title": "NEURAL-PORTFOLIO // AI-Signal Portfolio Dashboard Suite",
        "source": "0-REPLIT-MD-EXPORT/NEURAL-PORTFOLIO/replit.md",
        "score": 82,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "NEURAL-TRADING-APPS",
      "title": "NEURAL Trading Apps — Genitus Finanz-Terminal-Sammlung",
      "source": "0-REPLIT-MD-EXPORT/NEURAL-TRADING-APPS/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "Python (PYTHON-FINTECH/api_server.py)",
        "EOD/Makro-APIs"
      ],
      "tags": [
        "trading",
        "terminal",
        "sammlung",
        "neural",
        "makro",
        "zentralbank",
        "genitus",
        "static"
      ],
      "overview": "Eine sehr umfangreiche Sammlung von rund 38 eigenständigen Finanz-Terminal-Tools und Sub-Sammlungen unter dem \"NEURAL\"-Cyberpunk-Branding (Genitus-Ökosystem). Enthält Asset-Manager-Terminals, Makro-/Zentralbank-Tools, ein eigenes Python-API-Backend, eine große `trading/`-Unterordner-Sammlung sowie thematisch abweichende Sub-Sammlungen (\"DUDE BANK\", \"BROWSER-API\"). **Hinweis**: Die vorherige replit.md dieses Ordners beschrieb nachweislich (per Byte-Vergleich identisch) ein komplett anderes, fachfremdes Projekt (\"Cum-Ex & Cum-Cum Educational Guide\"). Diese Version ersetzt die fehlerhafte Datei.",
      "security_count": 0,
      "readiness": {
        "project": "NEURAL-TRADING-APPS",
        "title": "NEURAL Trading Apps — Genitus Finanz-Terminal-Sammlung",
        "source": "0-REPLIT-MD-EXPORT/NEURAL-TRADING-APPS/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "JavaScript",
          "Python"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "NEURAL-TRADING-APPS",
        "title": "NEURAL Trading Apps — Genitus Finanz-Terminal-Sammlung",
        "source": "0-REPLIT-MD-EXPORT/NEURAL-TRADING-APPS/replit.md",
        "score": 82,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "Nice-Watchliste",
      "title": "GENITUS Watchlist Hub (Nice-Watchliste)",
      "source": "0-REPLIT-MD-EXPORT/Nice-Watchliste/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "Static HTML",
        "EOD API"
      ],
      "tags": [
        "watchlist",
        "dividends",
        "eod-api",
        "genitus",
        "markets",
        "static"
      ],
      "overview": "Statischer, englischsprachiger Watchlist-Hub fuer EOD-basierte Marktbeobachtung. Die Dividenden-Tools nutzen einen verifizierten EOD-Proxy fuer Echtzeitkurse, historische Tagesschlusskurse und Dividendenhistorie. Bewusster Grundsatz: keine Erfindung von Kennzahlen (Earnings, Fundamentaldaten, Payout Ratios), wenn Upstream-Daten fehlen.",
      "security_count": 0,
      "readiness": {
        "project": "Nice-Watchliste",
        "title": "GENITUS Watchlist Hub (Nice-Watchliste)",
        "source": "0-REPLIT-MD-EXPORT/Nice-Watchliste/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "Nice-Watchliste",
        "title": "GENITUS Watchlist Hub (Nice-Watchliste)",
        "source": "0-REPLIT-MD-EXPORT/Nice-Watchliste/replit.md",
        "score": 64,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 98,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 74,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "OFFICE-FREE",
      "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
      "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "HTML5",
        "Vanilla JS",
        "Ace Editor",
        "React",
        "TypeScript",
        "Vite",
        "Tailwind CSS",
        "shadcn/ui",
        "Express.js",
        "localStorage"
      ],
      "tags": [
        "productivity-suite",
        "word-processor",
        "spreadsheet",
        "expense-tracker",
        "balance-sheet",
        "diary",
        "offline-first",
        "localstorage"
      ],
      "overview": "AI Office Suite ist eine clientseitige Produktivitäts-Suite mit sieben Modulen (Word Processor, Spreadsheet/AI TABLEAU, HTML Editor, Notes & Tasks, Expense Tracker, Balance Sheet, Personal Diary), die komplett über Tab-Navigation in einer einzigen Seite läuft. Alle Daten werden ausschließlich im Browser gehalten (localStorage/IndexedDB) — es gibt keine Server-Persistenz, keinen Login, keine Datenbank. Das Projekt existiert in mehreren Ausbaustufen: eine React+Express-Version (`client/`, `server/`) sowie mehrere vollständig eigenständige Single-File-HTML-Editionen (`FINAL.html`, `AXEL-FREE.html...",
      "security_count": 0,
      "readiness": {
        "project": "OFFICE-FREE",
        "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
        "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md",
        "score": 76,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Drizzle",
          "Express",
          "JavaScript",
          "Netlify",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "OFFICE-FREE",
        "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
        "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md",
        "score": 86,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 97,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "12 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 12,
        "security_count": 0
      }
    },
    {
      "project": "OPEN-SEARCH",
      "title": "VectorSearch Library (OPEN-SEARCH)",
      "source": "0-REPLIT-MD-EXPORT/OPEN-SEARCH/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "FastAPI",
        "sentence-transformers",
        "Transformers.js",
        "uvicorn"
      ],
      "tags": [
        "semantische-suche",
        "rag",
        "embeddings",
        "chat",
        "fastapi",
        "dokumentensuche",
        "ki"
      ],
      "overview": "Semantische Suchmaschine und Dokumentenbibliothek mit lokalen Vektor-Embeddings — kein LLM/externe API zwingend nötig für die Kernsuche. Zwei Oberflächen: die leichte Haupt-VectorSearch-UI und \"megaRAG\", eine dunkle RAG-Chat-Powerhouse-App.",
      "security_count": 0,
      "readiness": {
        "project": "OPEN-SEARCH",
        "title": "VectorSearch Library (OPEN-SEARCH)",
        "source": "0-REPLIT-MD-EXPORT/OPEN-SEARCH/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Python",
          "React",
          "Svelte"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "OPEN-SEARCH",
        "title": "VectorSearch Library (OPEN-SEARCH)",
        "source": "0-REPLIT-MD-EXPORT/OPEN-SEARCH/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "4 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 4,
        "security_count": 0
      }
    },
    {
      "project": "openBB",
      "title": "openBB — OpenBB Terminal Proxy Platform",
      "source": "0-REPLIT-MD-EXPORT/openBB/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "FastAPI",
        "Python",
        "OpenBB",
        "yfinance",
        "HTML/CSS/JS"
      ],
      "tags": [
        "trading-terminal",
        "api-proxy",
        "fundamental-analysis",
        "fastapi",
        "openbb",
        "live-deployment"
      ],
      "overview": "Live deployte Fintech-Terminal-Plattform (`https://open-bb.replit.app`), bestehend aus einem FastAPI-Backend, das Finanzdaten ueber OpenBB/yfinance proxied (nativ und Yahoo-Finance-kompatibel), plus mehreren umfangreichen Frontend-Terminals (Fundamentalanalyse, Money-Manager, Neural Cockpit, Prop-Trader, TradingView-Integration).",
      "security_count": 1,
      "readiness": {
        "project": "openBB",
        "title": "openBB — OpenBB Terminal Proxy Platform",
        "source": "0-REPLIT-MD-EXPORT/openBB/replit.md",
        "score": 68,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 55,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Python",
          "React",
          "Stripe",
          "Vite"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "openBB",
        "title": "openBB — OpenBB Terminal Proxy Platform",
        "source": "0-REPLIT-MD-EXPORT/openBB/replit.md",
        "score": 83,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 97,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 82,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 1
      }
    },
    {
      "project": "ORBITRON-BROTHERS",
      "title": "Orbitron Desktop PWA (ORBITRON-BROTHERS)",
      "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "C",
      "tech_stack": [
        "Static HTML/CSS/JS",
        "Service Worker",
        "PWA Manifest"
      ],
      "tags": [
        "pwa",
        "desktop-shell",
        "installable",
        "orbitron",
        "offline",
        "fintech-portal"
      ],
      "overview": "Statische, installierbare PWA \"Orbitron Desktop\", ausgeliefert aus `FINAL-WINDOWS/` (Entry-Point `FINAL-WINDOWS/index.html`). Der \"Overhead\"-Hub enthaelt lokale Stack-Tabs, OS/IDE-Eintraege, ein responsives Mobile-Layout und browserspezifische PWA-Installationsanleitungen. Zusaetzlich im Ordner: `globalfintech.html` (\"Orbitron Markets — GENITUS\", eigenstaendige Fintech-Portal-Seite) und ein eingebettetes `bluehost-stack-catalog`-Verzeichnis.",
      "security_count": 0,
      "readiness": {
        "project": "ORBITRON-BROTHERS",
        "title": "Orbitron Desktop PWA (ORBITRON-BROTHERS)",
        "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Tailwind CSS",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "ORBITRON-BROTHERS",
        "title": "Orbitron Desktop PWA (ORBITRON-BROTHERS)",
        "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS/replit.md",
        "score": 78,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 97,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "ORBITRON-BROTHERS-archiv-20260806-a",
      "title": "ORBITRON-BROTHERS (Archiv)",
      "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS-archiv-20260806-a/replit.md",
      "cluster": "Infrastruktur",
      "status": "archiv-duplikat",
      "rebuild_grade": "F",
      "tech_stack": [
        "HTML5",
        "PWA",
        "Service Worker",
        "Tailwind CSS",
        "Orbitron Font"
      ],
      "tags": [
        "pwa",
        "service-worker",
        "desktop-hub",
        "orbitron",
        "archived",
        "installable",
        "neon"
      ],
      "overview": "",
      "security_count": 0,
      "readiness": {
        "project": "ORBITRON-BROTHERS-archiv-20260806-a",
        "title": "ORBITRON-BROTHERS (Archiv)",
        "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS-archiv-20260806-a/replit.md",
        "score": 69,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 78,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "ORBITRON-BROTHERS-archiv-20260806-a",
        "title": "ORBITRON-BROTHERS (Archiv)",
        "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS-archiv-20260806-a/replit.md",
        "score": 77,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 75,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 95,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 97,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "orbitron-maps",
      "title": "orbitron-maps — Ultimate Guide: Reiseführer, Karten & Weltraum-Tools",
      "source": "0-REPLIT-MD-EXPORT/orbitron-maps/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML5",
        "CSS3",
        "Vanilla JavaScript",
        "Font Awesome 6",
        "Google Fonts Orbitron",
        "Google Fonts Inter",
        "iframe-Dashboard-Architektur",
        "Mapbox",
        "OpenStreetMap",
        "OSRM"
      ],
      "tags": [
        "Reisefuehrer",
        "Karten",
        "Weltraum",
        "Dashboard",
        "iframe-hub",
        "Pilgerreise",
        "Trip-Planner",
        "Multi-App-Sammlung",
        "Travel"
      ],
      "overview": "**WICHTIGER KORREKTURHINWEIS**: Die bisherige `replit.md` (Wurzel-Ordner) behauptete faelschlich \"Blank Project — Hello World mit reinem HTML/CSS/JS, keine externen Abhaengigkeiten\". Das ist **nachweislich falsch**: Der Unterordner `orbitron-maps/orbitron-maps/GUIDE-EXPORT/` enthaelt ein vollstaendiges, produktionsreifes Dashboard-System mit **60+ HTML-Dateien** und mehreren hundert KB echtem Content — 36 regionale Reisefuehrer, Weltraum-Tools, ein semantischer Suchindex ueber 701 Orte, ein Roadtrip-/Trip-Planner mit OSRM-Routing und ein persoenliches Bilder-Tagebuch. `GUIDE-EXPORT/index.html`...",
      "security_count": 1,
      "readiness": {
        "project": "orbitron-maps",
        "title": "orbitron-maps — Ultimate Guide: Reiseführer, Karten & Weltraum-Tools",
        "source": "0-REPLIT-MD-EXPORT/orbitron-maps/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Next.js"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "orbitron-maps",
        "title": "orbitron-maps — Ultimate Guide: Reiseführer, Karten & Weltraum-Tools",
        "source": "0-REPLIT-MD-EXPORT/orbitron-maps/replit.md",
        "score": 68,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 1
      }
    },
    {
      "project": "ORBITRON-OS",
      "title": "ORBITRON OS",
      "source": "0-REPLIT-MD-EXPORT/ORBITRON-OS/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "C",
      "tech_stack": [
        "Static HTML",
        "Vanilla JS",
        "iframe-Navigation"
      ],
      "tags": [
        "portal",
        "desktop-ui",
        "orbitron",
        "launcher",
        "iframe",
        "static",
        "neural"
      ],
      "overview": "Statischer, responsiver \"Neural Workspace\" — Katalog-Shell (`index.html`) mit lokalen Orbitron-Modulen (`0-ORBITRON-OS/`), Module öffnen über interne iframe-Tabs statt Standalone-Navigation. Zusätzlich `ORBITRON-DESKTOP.html`: eine Windows/macOS-inspirierte responsive Desktop-Shell mit maximiertem kategorisiertem Explorer, Modul-Verknüpfungen und draggable internen Fenstern für bestehende Modul-URLs.",
      "security_count": 0,
      "readiness": {
        "project": "ORBITRON-OS",
        "title": "ORBITRON OS",
        "source": "0-REPLIT-MD-EXPORT/ORBITRON-OS/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "ORBITRON-OS",
        "title": "ORBITRON OS",
        "source": "0-REPLIT-MD-EXPORT/ORBITRON-OS/replit.md",
        "score": 69,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 71,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "PerplexityMaster",
      "title": "PerplexityMaster (Perplexity Matrix)",
      "source": "0-REPLIT-MD-EXPORT/PerplexityMaster/replit.md",
      "cluster": "Sonstiges",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "Node.js",
        "Express",
        "Perplexity API"
      ],
      "tags": [
        "ai-search",
        "chatbot",
        "matrix-theme",
        "perplexity",
        "upload-stub"
      ],
      "overview": "KI-Such-/Chat-Interface im Matrix-Look (Gruen-auf-Schwarz-Terminal-Aesthetik), das Anfragen serverseitig an die Perplexity-AI-API weiterleiten soll (Key bleibt so vom Client fern). Express-Backend mit teilweise implementierter API; Upload-Endpunkt laut eigenem Code-Kommentar nur ein Stub.",
      "security_count": 0,
      "readiness": {
        "project": "PerplexityMaster",
        "title": "PerplexityMaster (Perplexity Matrix)",
        "source": "0-REPLIT-MD-EXPORT/PerplexityMaster/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "PerplexityMaster",
        "title": "PerplexityMaster (Perplexity Matrix)",
        "source": "0-REPLIT-MD-EXPORT/PerplexityMaster/replit.md",
        "score": 64,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 89,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "7 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 7,
        "security_count": 0
      }
    },
    {
      "project": "powerSLIDES",
      "title": "DVAG Sales Script - Corporate Level (powerSLIDES)",
      "source": "0-REPLIT-MD-EXPORT/powerSLIDES/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Vanilla JS ES6 Modules",
        "MediaRecorder API",
        "OpenAI/Mistral via Proxy"
      ],
      "tags": [
        "praesentation",
        "dvag",
        "slides",
        "ai-generator",
        "screen-recording",
        "coaching",
        "static"
      ],
      "overview": "Deutschsprachige Sales-Präsentationsanwendung für DVAG (Deutsche Vermögensberatung), konzipiert für Corporate-Training/Coaching. Interaktives, folienbasiertes Präsentationssystem mit synchronisierter Audiowiedergabe, Auto-Play und umfassenden Navigationssteuerungen. Von einer monolithischen 2000+-Zeilen-Datei zu einer modularen Architektur (9 Manager-Klassen) refaktoriert.",
      "security_count": 0,
      "readiness": {
        "project": "powerSLIDES",
        "title": "DVAG Sales Script - Corporate Level (powerSLIDES)",
        "source": "0-REPLIT-MD-EXPORT/powerSLIDES/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Node.js",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "powerSLIDES",
        "title": "DVAG Sales Script - Corporate Level (powerSLIDES)",
        "source": "0-REPLIT-MD-EXPORT/powerSLIDES/replit.md",
        "score": 66,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "pwa-history",
      "title": "pwa-history — Bibliotheken Hub (installierbare PWA)",
      "source": "0-REPLIT-MD-EXPORT/pwa-history/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS/JS",
        "PWA",
        "Service Worker",
        "Bootstrap 5"
      ],
      "tags": [
        "pwa",
        "education-hub",
        "history",
        "latin",
        "tutoring",
        "service-worker",
        "multi-library"
      ],
      "overview": "Installierbare PWA (\"Bibliotheken Hub\"), die drei unabhaengige Bildungs-Content-Bibliotheken unter einem Dach vereint: eine Geschichts-/Boersenhistorie-Bibliothek mit echtem Service-Worker-Support, eine Kirchenlatein-Lernplattform und eine Nachhilfe-Bibliothek (Englisch/Franzoesisch/Latein).",
      "security_count": 0,
      "readiness": {
        "project": "pwa-history",
        "title": "pwa-history — Bibliotheken Hub (installierbare PWA)",
        "source": "0-REPLIT-MD-EXPORT/pwa-history/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "pwa-history",
        "title": "pwa-history — Bibliotheken Hub (installierbare PWA)",
        "source": "0-REPLIT-MD-EXPORT/pwa-history/replit.md",
        "score": 73,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 99,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 83,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "QuantumCalculator",
      "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
      "source": "0-REPLIT-MD-EXPORT/QuantumCalculator/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "Python SymPy/NumPy/SciPy",
        "PostgreSQL"
      ],
      "tags": [
        "calculator",
        "terminal-ui",
        "symbolic-math",
        "graphing",
        "api"
      ],
      "overview": "Full-Stack-Rechner-Anwendung mit Terminal-Aesthetik fuer fortgeschrittene mathematische Berechnungen. React-Frontend + Express-Backend, Python-Mathe-Engine (SymPy/NumPy/SciPy) fuer symbolische Mathematik. Live produktiv unter `https://genitus-texas.replit.app` mit externer API (`/api/calc`) fuer Discord/Telegram/WordPress-Integration.",
      "security_count": 0,
      "readiness": {
        "project": "QuantumCalculator",
        "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
        "source": "0-REPLIT-MD-EXPORT/QuantumCalculator/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "JavaScript",
          "Node.js",
          "PostgreSQL",
          "Python",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "QuantumCalculator",
        "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
        "source": "0-REPLIT-MD-EXPORT/QuantumCalculator/replit.md",
        "score": 75,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 93,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "11 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 11,
        "security_count": 0
      }
    },
    {
      "project": "quizDVAG",
      "title": "DVAG Lern- und Trainings-Simulator",
      "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "Vanilla JavaScript",
        "TailwindCSS (CDN)",
        "Google Fonts (Orbitron)",
        "JSON"
      ],
      "tags": [
        "dvag",
        "gewo-lizenz",
        "quiz",
        "pruefungsvorbereitung",
        "lernsimulator",
        "34d",
        "34f",
        "34i"
      ],
      "overview": "Eine clientseitige Single-Page-Lernplattform (Quiz-Simulator) fuer angehende und aktive DVAG-Finanzberater, mit der Fachwissen fuer alle fuenf deutschen Gewerbeordnungs-Lizenzen (§34d/f/i/c/h GewO) trainiert werden kann. Die App praesentiert Multiple-Choice-Fragen mit Fisher-Yates-Shuffle der Antwortoptionen, Live-Score-Tracking, Kategorie-Filterung und eine ausfuehrliche Ergebnisauswertung inkl. \"Fehler wiederholen\"-Funktion. Reines Frontend (Vanilla JS + TailwindCSS-CDN), kein Backend zur Laufzeit. Branding: \"Powered by Genitus Inc.\" / Daniel Gereci, eingebettet ins DOMVS-AVREA-Markenoekosys...",
      "security_count": 0,
      "readiness": {
        "project": "quizDVAG",
        "title": "DVAG Lern- und Trainings-Simulator",
        "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md",
        "score": 88,
        "grade": "A",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Netlify",
          "Python",
          "Svelte",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite",
          "Vue"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "quizDVAG",
        "title": "DVAG Lern- und Trainings-Simulator",
        "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md",
        "score": 92,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 83,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 97,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "11 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 11,
        "security_count": 0
      }
    },
    {
      "project": "QuoteHunter",
      "title": "QuoteHunter - BetOdds Pro",
      "source": "0-REPLIT-MD-EXPORT/QuoteHunter/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "HTML5",
        "Tailwind CSS (CDN)",
        "React",
        "Vite",
        "Express.js",
        "TypeScript",
        "RapidAPI Odds API",
        "Mistral AI Codestral"
      ],
      "tags": [
        "sports-betting",
        "odds-comparison",
        "ai-analysis",
        "mistral-ai",
        "value-bets",
        "rapidapi",
        "demo-data"
      ],
      "overview": "BetOdds Pro ist eine KI-gestützte Sportwetten-Quoten-App. Sie ruft Live-Quoten über die RapidAPI-basierte \"The Odds API\" ab, deckt mehrere Sportarten (MLB, Tennis/ATP-WTA, Fußball, MLS, Boxen u.a.) und mehrere Buchmacher ab, und lässt eine KI (Mistral AI, Modell `codestral-latest`) Quoten auf \"Value Bets\" bewerten. Für Sportarten ohne freien API-Zugang generiert der Server plausible Demo-Quoten. Es existieren zwei nahezu identische Frontends: die React/Vite-App und die eigenständige Tailwind-CDN-Version `FINAL.html`.",
      "security_count": 0,
      "readiness": {
        "project": "QuoteHunter",
        "title": "QuoteHunter - BetOdds Pro",
        "source": "0-REPLIT-MD-EXPORT/QuoteHunter/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 90,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Netlify",
          "Next.js",
          "Node.js",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "QuoteHunter",
        "title": "QuoteHunter - BetOdds Pro",
        "source": "0-REPLIT-MD-EXPORT/QuoteHunter/replit.md",
        "score": 73,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "10 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 10,
        "security_count": 0
      }
    },
    {
      "project": "Radio",
      "title": "Neural Streaming Platform (Radio)",
      "source": "0-REPLIT-MD-EXPORT/Radio/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "Static HTML/CSS/JS",
        "Tailwind",
        "RadioBrowser API",
        "iTunes API",
        "IPTV M3U"
      ],
      "tags": [
        "radio",
        "podcasts",
        "tv",
        "streaming",
        "youtube",
        "static",
        "no-backend",
        "media"
      ],
      "overview": "Eine 4-App Neural-Streaming-Plattform (Radio, Podcasts, TV, YouTube) mit modernem Orbitron-Typo, Cyan/Purple-Glow und Glassmorphism-UI. Alle Apps sind reines Client-Side-HTML ohne Backend — \"Zero backend required\" ist explizit dokumentiert. Laut eigenem Status \"✅ Complete & Production-Ready\".",
      "security_count": 0,
      "readiness": {
        "project": "Radio",
        "title": "Neural Streaming Platform (Radio)",
        "source": "0-REPLIT-MD-EXPORT/Radio/replit.md",
        "score": 78,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Cloudflare",
          "JavaScript",
          "Python",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "Radio",
        "title": "Neural Streaming Platform (Radio)",
        "source": "0-REPLIT-MD-EXPORT/Radio/replit.md",
        "score": 76,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "RandomStockTrader",
      "title": "RandomStockTrader — Random Stock Analysis (Coin Toss Trading)",
      "source": "0-REPLIT-MD-EXPORT/RandomStockTrader/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Python",
        "Streamlit",
        "yfinance",
        "Plotly"
      ],
      "tags": [
        "anti-bias",
        "coin-toss",
        "backtesting",
        "streamlit",
        "trading-psychology"
      ],
      "overview": "Streamlit-basiertes \"Anti-Bias\"-Trading-System, das per reinem Zufall (Coin-Toss-Methodik) LONG/SHORT-Handelsempfehlungen generiert, um psychologische Verzerrungen und emotionale Entscheidungen zu vermeiden. Enthaelt echte Marktdatenanbindung und ein Backtesting-Modul zur Bewertung der Zufallsstrategie ueber historische Daten.",
      "security_count": 0,
      "readiness": {
        "project": "RandomStockTrader",
        "title": "RandomStockTrader — Random Stock Analysis (Coin Toss Trading)",
        "source": "0-REPLIT-MD-EXPORT/RandomStockTrader/replit.md",
        "score": 82,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "Express",
          "JavaScript",
          "Python",
          "TypeScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "RandomStockTrader",
        "title": "RandomStockTrader — Random Stock Analysis (Coin Toss Trading)",
        "source": "0-REPLIT-MD-EXPORT/RandomStockTrader/replit.md",
        "score": 85,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 92,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 83,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "5 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 5,
        "security_count": 0
      }
    },
    {
      "project": "ResponsiveCacheHandler",
      "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
      "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "Python",
        "Flask",
        "jQuery",
        "Bootstrap",
        "Lightweight Charts",
        "Chart.js",
        "HTML5",
        "Vanilla JS"
      ],
      "tags": [
        "stock-analysis",
        "candlestick-chart",
        "watchlist",
        "flask",
        "genitus",
        "golden-cross",
        "multi-country",
        "proxy-api"
      ],
      "overview": "Eine Flask-Anwendung zur Aktienanalyse mit Candlestick-Charts und einfacher Symbol-Eingabe. Neben der Haupt-Flask-App gibt es zwei eigenständige HTML-Erweiterungen desselben Ökosystems: `BIG_WATCH.html` (\"GENITUS INTERNATIONAL MARKETS\") — eine große, mehrsprachige Multi-Symbol-Watchlist mit Chart-Modal — und eine per Export-Route erzeugbare Offline-Standalone-Version. Das Projekt gehört sichtbar zum \"GENITUS\"/\"DOMVS AVREA O.P.N\"-Marken-Ökosystem des Nutzers (vgl. StockGptIntelligence, dessen `watchlist.htm` identisches Design-System teilt).",
      "security_count": 0,
      "readiness": {
        "project": "ResponsiveCacheHandler",
        "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
        "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Chart.js",
          "Cloudflare",
          "JavaScript",
          "Lightweight Charts",
          "Python",
          "Supabase",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "ResponsiveCacheHandler",
        "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
        "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md",
        "score": 68,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "9 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 9,
        "security_count": 0
      }
    },
    {
      "project": "ROSENKRANZ",
      "title": "Der Heilige Rosenkranz — Bildgebetnis",
      "source": "0-REPLIT-MD-EXPORT/ROSENKRANZ/replit.md",
      "cluster": "Religioes",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML"
      ],
      "tags": [
        "rosenkranz",
        "gebet",
        "religion",
        "katholisch",
        "static",
        "andacht",
        "bildgebetnis"
      ],
      "overview": "Eine einzelne statische Seite zum Heiligen Rosenkranz-Gebet (\"Bildgebetnis\" — bildgestützte Gebetsanleitung), 594 Zeilen HTML. Kein Backend, kein Framework. **Hinweis**: Die vorherige replit.md-Datei in diesem Ordner beschrieb fälschlich ein komplett anderes Projekt (\"Cum-Ex & Cum-Cum Educational Guide\" — ein Steuerthema-Guide, nachweislich per Byte-Vergleich identisch mit der falsch zugeordneten Datei in mehreren anderen Projektordnern). Diese Version ersetzt die fehlerhafte Datei und beschreibt den tatsächlichen Ordnerinhalt.",
      "security_count": 0,
      "readiness": {
        "project": "ROSENKRANZ",
        "title": "Der Heilige Rosenkranz — Bildgebetnis",
        "source": "0-REPLIT-MD-EXPORT/ROSENKRANZ/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "ROSENKRANZ",
        "title": "Der Heilige Rosenkranz — Bildgebetnis",
        "source": "0-REPLIT-MD-EXPORT/ROSENKRANZ/replit.md",
        "score": 60,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 47,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "SalesSymphony",
      "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
      "source": "0-REPLIT-MD-EXPORT/SalesSymphony/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "Drizzle ORM",
        "OpenAI GPT-4o-mini",
        "DALL-E 3",
        "Bland AI"
      ],
      "tags": [
        "sales",
        "marketing",
        "ki-content",
        "e-mail",
        "leads",
        "crm",
        "templates",
        "react"
      ],
      "overview": "Full-Stack KI-gestützte Sales-/Marketing-Plattform für Domvs Avrea O.P.N: einheitliche KI-Content-Generierung über Sales-Chat, E-Mail-Templates, Social-Media-Posts, Videoskripte und automatisierte Telefonanrufe. Umfangreiche, mehrfach als \"produktionsreif\" getestete Lead-Datenbank (6.000 Leads).",
      "security_count": 0,
      "readiness": {
        "project": "SalesSymphony",
        "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
        "source": "0-REPLIT-MD-EXPORT/SalesSymphony/replit.md",
        "score": 76,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "Node.js",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "SalesSymphony",
        "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
        "source": "0-REPLIT-MD-EXPORT/SalesSymphony/replit.md",
        "score": 78,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "9 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 9,
        "security_count": 0
      }
    },
    {
      "project": "samsung-made",
      "title": "Samsung-made Index Organizer (samsung-made)",
      "source": "0-REPLIT-MD-EXPORT/samsung-made/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "Vanilla JS"
      ],
      "tags": [
        "index-organizer",
        "sammlung",
        "static",
        "misc-tools",
        "quiz",
        "guides"
      ],
      "overview": "Ein funktionierender, JS-gesteuerter Datei-Index-Organizer (`index.html`), der dynamisch auf eine Sammlung von 18 eigenständigen, thematisch sehr unterschiedlichen HTML-Tools im Unterordner `Samsung-made/` verlinkt. **Hinweis**: Die vorherige replit.md dieses Ordners beschrieb nachweislich (per Byte-Vergleich identisch) ein komplett anderes, fachfremdes Projekt (\"Cum-Ex & Cum-Cum Educational Guide\"). Diese Version ersetzt die fehlerhafte Datei.",
      "security_count": 0,
      "readiness": {
        "project": "samsung-made",
        "title": "Samsung-made Index Organizer (samsung-made)",
        "source": "0-REPLIT-MD-EXPORT/samsung-made/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "samsung-made",
        "title": "Samsung-made Index Organizer (samsung-made)",
        "source": "0-REPLIT-MD-EXPORT/samsung-made/replit.md",
        "score": 62,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 59,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "schach-meisger",
      "title": "Orbitron Chess / Deep Orbitron Chess Tutor (schach-meisger)",
      "source": "0-REPLIT-MD-EXPORT/schach-meisger/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML/CSS/JS",
        "Stockfish (WASM/Worker)",
        "Gemini API"
      ],
      "tags": [
        "chess",
        "ai-coaching",
        "stockfish",
        "gemini",
        "rag",
        "learning",
        "puzzles"
      ],
      "overview": "Umfangreiche Schach-Coaching-Anwendung \"Orbitron Chess\" / \"Deep Orbitron Chess Tutor\": eine browserseitige Stockfish-Engine liefert belastbare numerische Evaluationen (\"Evidence-Layer\"), waehrend ein Gemini-KI-Modell die verstaendliche Coaching-Ebene uebernimmt — bewusst getrennt, damit die KI keine erfundenen Engine-Werte praesentiert. Zusaetzlich ein lokaler RAG-Modus, der Stellungen mit fuenf validierten Meisterpartien vergleicht.",
      "security_count": 0,
      "readiness": {
        "project": "schach-meisger",
        "title": "Orbitron Chess / Deep Orbitron Chess Tutor (schach-meisger)",
        "source": "0-REPLIT-MD-EXPORT/schach-meisger/replit.md",
        "score": 72,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "SQLite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "schach-meisger",
        "title": "Orbitron Chess / Deep Orbitron Chess Tutor (schach-meisger)",
        "source": "0-REPLIT-MD-EXPORT/schach-meisger/replit.md",
        "score": 75,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "secureALL",
      "title": "secureALL — DVAG Beratungstrainer",
      "source": "0-REPLIT-MD-EXPORT/secureALL/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Express.js",
        "OpenAI GPT-4",
        "HTML/CSS/JS",
        "Tailwind CSS"
      ],
      "tags": [
        "dvag",
        "sales-training",
        "crm",
        "chatbot",
        "roleplay",
        "tts",
        "function-calling"
      ],
      "overview": "KI-gestuetzte Trainingsplattform fuer Finanzberater mit integriertem CRM-System. Kombiniert realistische Gespraechssimulationen (Kunde/Berater-Rollenspiel) mit CRM-Funktionen zur Automatisierung von Outreach-Massnahmen (E-Mails, LinkedIn-Posts, Follow-ups). Laeuft vollstaendig auf `secure-all.replit.app` zur Vermeidung von Port-Konflikten.",
      "security_count": 1,
      "readiness": {
        "project": "secureALL",
        "title": "secureALL — DVAG Beratungstrainer",
        "source": "0-REPLIT-MD-EXPORT/secureALL/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Tailwind CSS",
          "Vercel"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "secureALL",
        "title": "secureALL — DVAG Beratungstrainer",
        "source": "0-REPLIT-MD-EXPORT/secureALL/replit.md",
        "score": 77,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "4 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 4,
        "security_count": 1
      }
    },
    {
      "project": "SlideSwapViewer",
      "title": "Orderbook AI (SlideSwapViewer)",
      "source": "0-REPLIT-MD-EXPORT/SlideSwapViewer/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "Python",
        "Flask",
        "Bootstrap 4"
      ],
      "tags": [
        "orderbook",
        "market-overview",
        "flask",
        "indices",
        "sectors",
        "ai-analysis"
      ],
      "overview": "Flask-Anwendung \"Orderbook AI\" zur Marktuebersicht ueber Indizes, Branchen und Anlageklassen: Dropdown-Auswahl fuer deutsche Indizes (DAX, MDAX, TECDAX), US-Indizes/Branchen, europaeische Indizes/Branchen, Krypto und Forex, plus manuelle Symbolsuche mit KI-Analyse-Button. Verweist auf eine verwandte \"EXECUTED\"-App (`orderbook-ai-executed.replit.app`).",
      "security_count": 0,
      "readiness": {
        "project": "SlideSwapViewer",
        "title": "Orderbook AI (SlideSwapViewer)",
        "source": "0-REPLIT-MD-EXPORT/SlideSwapViewer/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "JavaScript",
          "Python",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "SlideSwapViewer",
        "title": "Orderbook AI (SlideSwapViewer)",
        "source": "0-REPLIT-MD-EXPORT/SlideSwapViewer/replit.md",
        "score": 70,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 99,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "4 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 4,
        "security_count": 0
      }
    },
    {
      "project": "SPIELESAMMLUNG",
      "title": "NEURAL GAMES HUB (SPIELESAMMLUNG)",
      "source": "0-REPLIT-MD-EXPORT/SPIELESAMMLUNG/replit.md",
      "cluster": "Games",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "Static HTML/CSS/JS"
      ],
      "tags": [
        "games",
        "arcade",
        "hub",
        "neural",
        "cyberpunk",
        "static",
        "casino",
        "boardgames"
      ],
      "overview": "Zentrale Spiele-Hub-Seite \"NEURAL GAMES HUB // v6.0\" — laut eigener Meta-Description \"49 KI-generierte Browser-Games im Cyberpunk-Style\". Enthaelt einen eingebetteten `1agames`-Ordner mit den eigentlichen Spieldateien sowie eine zusaetzliche `MINI-GAMES.html`. **Wichtiger Korrekturhinweis**: Die vorherige replit.md dieses Ordners beschrieb faelschlich ein \"Cum-Ex & Cum-Cum Educational Guide\" — ein voellig anderes, nicht zum Ordnernamen/Inhalt passendes Thema. Diese Version ersetzt jenen fehlerhaften Stand durch eine am tatsaechlichen Code verifizierte Beschreibung.",
      "security_count": 0,
      "readiness": {
        "project": "SPIELESAMMLUNG",
        "title": "NEURAL GAMES HUB (SPIELESAMMLUNG)",
        "source": "0-REPLIT-MD-EXPORT/SPIELESAMMLUNG/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "SPIELESAMMLUNG",
        "title": "NEURAL GAMES HUB (SPIELESAMMLUNG)",
        "source": "0-REPLIT-MD-EXPORT/SPIELESAMMLUNG/replit.md",
        "score": 60,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 47,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "1 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 1,
        "security_count": 0
      }
    },
    {
      "project": "STOCK-HTML5-REPORTS",
      "title": "STOCK-HTML5-REPORTS - Curated HTML5 Research Reports",
      "source": "0-REPLIT-MD-EXPORT/STOCK-HTML5-REPORTS/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML5",
        "Python-Generator"
      ],
      "tags": [
        "research-report",
        "static",
        "self-contained",
        "offline",
        "equity-report"
      ],
      "overview": "Keine interaktive Web-App, sondern eine kleine Sammlung eigenstaendiger, druckfreundlicher HTML5-Research-Reports, generiert aus vollstaendigen Datenschnappschuessen der Haupt-App (Snapshot-JSON, z.B. `STOCK-SLIDES-TEMPLATES/raw-data/complete-json/NVDA_snapshot.json`). Dient als Ausgabeformat einer groesseren, hier nicht enthaltenen Datenpipeline.",
      "security_count": 0,
      "readiness": {
        "project": "STOCK-HTML5-REPORTS",
        "title": "STOCK-HTML5-REPORTS - Curated HTML5 Research Reports",
        "source": "0-REPLIT-MD-EXPORT/STOCK-HTML5-REPORTS/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Python"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "STOCK-HTML5-REPORTS",
        "title": "STOCK-HTML5-REPORTS - Curated HTML5 Research Reports",
        "source": "0-REPLIT-MD-EXPORT/STOCK-HTML5-REPORTS/replit.md",
        "score": 75,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 94,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 59,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 97,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "STOCK-SLIDES-TEMPLATES",
      "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
      "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "HTML",
        "CSS",
        "Vanilla JS",
        "Google Fonts",
        "Python (Generator-Skript",
        "extern)"
      ],
      "tags": [
        "stock-analysis",
        "slide-deck",
        "template-collection",
        "cyberpunk",
        "swiss-editorial",
        "bloomberg-terminal",
        "dcf",
        "fundamentals",
        "curated-data"
      ],
      "overview": "Kein interaktives Web-App-Projekt, sondern eine kuratierte Sammlung von 51 eigenständigen, selbstenthaltenen HTML-\"Slide-Decks\" (Präsentations-Folien) zu einzelnen Aktien: 10 Stil-Master-Vorlagen in unterschiedlichen visuellen Designsprachen, angewendet auf 41 tickerspezifische Decks (AAPL, MSFT, TSLA, AMZN, GOOGL, META, NVDA, JPM u. v. a.). Jedes Deck wird aus einem kanonischen JSON-Snapshot pro Ticker neu gerendert, fehlende Werte bleiben explizit `N/A` statt erfunden zu werden — das Projekt legt dokumentiert Wert auf Daten-Ehrlichkeit statt Fantasiewerten.",
      "security_count": 4,
      "readiness": {
        "project": "STOCK-SLIDES-TEMPLATES",
        "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
        "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Python"
        ],
        "risk_count": 4
      },
      "rebuildability": {
        "project": "STOCK-SLIDES-TEMPLATES",
        "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
        "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md",
        "score": 82,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 97,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 4
      }
    },
    {
      "project": "StockComparator",
      "title": "StockComparator — Stock Analysis Chatbot / Professional Trading Analysis Platform",
      "source": "0-REPLIT-MD-EXPORT/StockComparator/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "TypeScript",
        "Vite",
        "Express",
        "OpenAI GPT",
        "Tailwind CSS"
      ],
      "tags": [
        "trading",
        "stock-comparison",
        "chatbot",
        "spread-analysis",
        "openai",
        "dashboard",
        "react",
        "express"
      ],
      "overview": "Aktienanalyse-App, die zwei Instrumente/Aktien gegenueberstellt und mittels OpenAI GPT eine textuelle Vergleichsanalyse liefert - inklusive Volatilitaetsberechnung sowie automatisch abgeleiteten Stop-Loss- und Take-Profit-Marken je nach Out-/Underperformance. Existiert als React/Vite-App plus eine grosse eigenstaendige Standalone-HTML-Version.",
      "security_count": 0,
      "readiness": {
        "project": "StockComparator",
        "title": "StockComparator — Stock Analysis Chatbot / Professional Trading Analysis Platform",
        "source": "0-REPLIT-MD-EXPORT/StockComparator/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "StockComparator",
        "title": "StockComparator — Stock Analysis Chatbot / Professional Trading Analysis Platform",
        "source": "0-REPLIT-MD-EXPORT/StockComparator/replit.md",
        "score": 78,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "7 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 7,
        "security_count": 0
      }
    },
    {
      "project": "StockGptIntelligence",
      "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
      "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "Express",
        "Node.js",
        "TypeScript",
        "EOD Historical Data API",
        "OpenAI GPT-4o-mini",
        "Chart.js",
        "React/Vite",
        "Vanilla JS"
      ],
      "tags": [
        "genitus",
        "stock-watchlist",
        "ticker-search",
        "ai-assistant",
        "gpt-4o-mini",
        "chart-js",
        "fragmented-ui",
        "eod-data"
      ],
      "overview": "StockGptIntelligence ist die umfangreichste App der \"GENITUS\"-Trading-Produktfamilie im Bestand: ein Express/TypeScript-Server mit echter DB-Anbindung (`server/db.ts`), der die EOD Historical Data API für Börsen-/Ticker-Daten anbindet und einen OpenAI-GPT-4o-mini-Chat-Assistenten für Aktienanalysen integriert. Das Projekt liegt jedoch fragmentiert vor: mehrere parallele HTML-Oberflächen (`finalticker.html`, `watchlist.htm`, `watchlist-MIXED.html`) bilden unterschiedliche, nebeneinander existierende UI-Ausbaustufen desselben Produkts ab statt einer einzigen finalen Version.",
      "security_count": 1,
      "readiness": {
        "project": "StockGptIntelligence",
        "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
        "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md",
        "score": 62,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 20,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "Drizzle",
          "Express",
          "JavaScript",
          "Next.js",
          "Node.js",
          "PostgreSQL",
          "React",
          "Supabase",
          "Svelte",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "StockGptIntelligence",
        "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
        "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md",
        "score": 73,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 70,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "1 kritische Security-Fundstelle(n) vor dem Rebuild klären.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "13 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 13,
        "security_count": 1
      }
    },
    {
      "project": "StockSentinel",
      "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
      "source": "0-REPLIT-MD-EXPORT/StockSentinel/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Streamlit",
        "FastAPI/Starlette",
        "yfinance",
        "Plotly",
        "Python"
      ],
      "tags": [
        "aktienanalyse",
        "streamlit",
        "dcf",
        "kennzahlen",
        "watchlist",
        "dashboard",
        "python"
      ],
      "overview": "Multi-Page-Streamlit-App für intelligente Aktienanalyse mit dunkler \"Neural Fintech\"-UI. Ein schlanker FastAPI/Starlette-Edge-Proxy (`proxy_server.py`) sitzt vor Streamlit und liefert zusätzlich direkte Yahoo-Finance-JSON-Endpunkte sowie ein Standalone-HTML5-Cockpit. Der Ordner enthält zusätzlich ältere `WATCHLIST*.html`-Dateien einer früheren Projektphase.",
      "security_count": 0,
      "readiness": {
        "project": "StockSentinel",
        "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
        "source": "0-REPLIT-MD-EXPORT/StockSentinel/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Next.js",
          "Python"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "StockSentinel",
        "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
        "source": "0-REPLIT-MD-EXPORT/StockSentinel/replit.md",
        "score": 78,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "StockSentinel (1)",
      "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
      "source": "0-REPLIT-MD-EXPORT/StockSentinel (1)/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Python",
        "Streamlit",
        "yfinance",
        "Plotly"
      ],
      "tags": [
        "stocks",
        "streamlit",
        "fundamental-analysis",
        "dcf",
        "watchlist",
        "ticker-universe",
        "dashboard"
      ],
      "overview": "Multi-Page-Streamlit-App fuer intelligente Aktienanalyse mit kuratiertem Lightmode und optionaler \"Neural Fintech\" Darkmode-UI. Acht Module: Cockpit/Home, Charts, Bilanzanalyse, Kennzahlen, Bewertung (DCF), Vergleich, Watchlist, Ticker-Browser, Export-Center. Ticker-Universum von 1.700+ kuratierten Symbolen weltweit.",
      "security_count": 0,
      "readiness": {
        "project": "StockSentinel (1)",
        "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
        "source": "0-REPLIT-MD-EXPORT/StockSentinel (1)/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Python",
          "React"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "StockSentinel (1)",
        "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
        "source": "0-REPLIT-MD-EXPORT/StockSentinel (1)/replit.md",
        "score": 71,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 83,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "summa",
      "title": "summa — Philosophia et Theologia Salutis",
      "source": "0-REPLIT-MD-EXPORT/summa/replit.md",
      "cluster": "Religioes",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "HTML5",
        "CSS3",
        "Vanilla JavaScript",
        "Google Fonts Playfair Display",
        "Google Fonts EB Garamond"
      ],
      "tags": [
        "Theologie",
        "Philosophie",
        "Thomas-von-Aquin",
        "eBook",
        "Scholastik",
        "Katholisch",
        "Latein",
        "KDP",
        "Selfpublishing"
      ],
      "overview": "Statisches eBook-/Website-Projekt zur Philosophie und Theologie des Heils, aufgebaut um das Denken des Thomas von Aquin. `index.html` ist **tatsaechlich vollstaendig fertig** — 5.628 Zeilen mit acht kompletten \"Teil\"-Abschnitten von der Erkenntnistheorie bis zur Synthesis, durchgaengig mit lateinischen Originalzitaten, Quellenangaben (Summa Theologiae, De Veritate, Konzil von Trient) und didaktischen Textboxen (Definition/Beispiel/Wichtig/Reflexion). Zusaetzlich `kdp.html` (339 Zeilen) als \"eBook Masterplan\" fuer die Selfpublishing-Vermarktung via Amazon KDP.",
      "security_count": 1,
      "readiness": {
        "project": "summa",
        "title": "summa — Philosophia et Theologia Salutis",
        "source": "0-REPLIT-MD-EXPORT/summa/replit.md",
        "score": 76,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Netlify",
          "Vercel"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "summa",
        "title": "summa — Philosophia et Theologia Salutis",
        "source": "0-REPLIT-MD-EXPORT/summa/replit.md",
        "score": 77,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 95,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 1
      }
    },
    {
      "project": "SymbolAnalyzer",
      "title": "SymbolAnalyzer — LEMOMENT API / NEURAL MATRIX Trading Tools",
      "source": "0-REPLIT-MD-EXPORT/SymbolAnalyzer/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Python",
        "Flask",
        "flask_cors",
        "HTML/CSS/JS"
      ],
      "tags": [
        "trading",
        "api",
        "dashboard",
        "candlestick",
        "terminal-ui",
        "flask",
        "api-key-auth",
        "scanner"
      ],
      "overview": "Buendelt eine Flask-basierte Trading-API (\"LEMOMENT API\") mit mehreren clientseitigen \"NEURAL MATRIX\"-Trading-Oberflaechen. In-Memory-Caching (Kurscache, separater Historien-Cache), Symbolvalidierung per Regex und API-Key-geschuetzte Routen.",
      "security_count": 0,
      "readiness": {
        "project": "SymbolAnalyzer",
        "title": "SymbolAnalyzer — LEMOMENT API / NEURAL MATRIX Trading Tools",
        "source": "0-REPLIT-MD-EXPORT/SymbolAnalyzer/replit.md",
        "score": 74,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 90,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Python",
          "Redis"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "SymbolAnalyzer",
        "title": "SymbolAnalyzer — LEMOMENT API / NEURAL MATRIX Trading Tools",
        "source": "0-REPLIT-MD-EXPORT/SymbolAnalyzer/replit.md",
        "score": 74,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "TENSOR-FLOW",
      "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
      "source": "0-REPLIT-MD-EXPORT/TENSOR-FLOW/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "Node.js",
        "Express",
        "TensorFlow.js",
        "LSTM",
        "Lightweight Charts",
        "Vanilla JS",
        "Orbitron",
        "JetBrains Mono",
        "World Bank API",
        "IMF WEO API",
        "FRED API",
        "yahoo-finance2",
        "Finnhub",
        "node-cache"
      ],
      "tags": [
        "trading",
        "macro-economics",
        "LSTM",
        "neural-network",
        "cyberpunk-ui",
        "dashboard",
        "World-Bank",
        "IMF",
        "FRED",
        "TensorFlow.js"
      ],
      "overview": "Full-stack Node.js/Express Anwendung mit einem TensorFlow.js LSTM-Neuronalnetz, das (1) echte Marktkurse (Aktien, Krypto, Forex) laedt, (2) ein LSTM-Modell live auf historischen OHLCV-Daten trainiert, (3) die naechste Trendrichtung (UP/DOWN/NEUTRAL) mit Konfidenzwert vorhersagt und (4) alles auf einem Cyberpunk-Dashboard darstellt. Ein zweites Dashboard (\"L'ALGO MACRO\") macht dasselbe fuer makrooekonomische Indikatoren (BIP, Inflation, Arbeitslosigkeit, Staatsschulden) mit Daten von World Bank, IMF WEO und FRED, inklusive Prognosen bis 2031. Das `public/`-Verzeichnis enthaelt tatsaechlich deut...",
      "security_count": 0,
      "readiness": {
        "project": "TENSOR-FLOW",
        "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
        "source": "0-REPLIT-MD-EXPORT/TENSOR-FLOW/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Express",
          "JavaScript",
          "Lightweight Charts",
          "Next.js",
          "Node.js",
          "PostgreSQL",
          "Python",
          "Supabase",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "TENSOR-FLOW",
        "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
        "source": "0-REPLIT-MD-EXPORT/TENSOR-FLOW/replit.md",
        "score": 76,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "9 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 9,
        "security_count": 0
      }
    },
    {
      "project": "TraderDashboard",
      "title": "Genitus Trading Dashboard (TraderDashboard)",
      "source": "0-REPLIT-MD-EXPORT/TraderDashboard/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Vite",
        "Express",
        "Zod",
        "TypeScript"
      ],
      "tags": [
        "portfolio",
        "positionen",
        "crud",
        "react",
        "express",
        "genitus",
        "dashboard"
      ],
      "overview": "Portfolio-/Positions-Dashboard aus der \"Genitus\"-Produktfamilie. Express-Server mit CRUD-Routen für Handelspositionen, vorbereiteten Schemas für Marktdaten/Handelshistorie/Nutzereinstellungen, plus einer eigenständigen, umfangreicheren Standalone-HTML-Version.",
      "security_count": 0,
      "readiness": {
        "project": "TraderDashboard",
        "title": "Genitus Trading Dashboard (TraderDashboard)",
        "source": "0-REPLIT-MD-EXPORT/TraderDashboard/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "TraderDashboard",
        "title": "Genitus Trading Dashboard (TraderDashboard)",
        "source": "0-REPLIT-MD-EXPORT/TraderDashboard/replit.md",
        "score": 81,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 96,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "7 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 7,
        "security_count": 0
      }
    },
    {
      "project": "TravelMate",
      "title": "TravelGPT (TravelMate)",
      "source": "0-REPLIT-MD-EXPORT/TravelMate/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Vite",
        "Express",
        "Universal AI Proxy"
      ],
      "tags": [
        "travel",
        "ai-companion",
        "chat",
        "proxy",
        "react",
        "express",
        "destinations"
      ],
      "overview": "KI-gestuetzter Reisebegleiter (React+Vite-Frontend, Express-Backend, In-Memory-Storage). Alle KI-/Datenaufrufe laufen ueber den \"Universal AI & Financial Data Proxy\" (`theserver-open-ai.replit.app`, 98 Endpunkte ueber OpenAI, Mistral, Claude, Perplexity, Gemini, RapidAPI, EOD Historical Data) — keine lokalen API-Keys noetig.",
      "security_count": 0,
      "readiness": {
        "project": "TravelMate",
        "title": "TravelGPT (TravelMate)",
        "source": "0-REPLIT-MD-EXPORT/TravelMate/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
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      },
      "rebuildability": {
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        "score": 72,
        "grade": "B",
        "confidence": "medium",
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          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 98,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "TrendPulse",
      "title": "TrendPulse — Stock Analysis Chatbot (EOD-Proxy)",
      "source": "0-REPLIT-MD-EXPORT/TrendPulse/replit.md",
      "cluster": "Fintech-Trading",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "React",
        "TypeScript",
        "Vite",
        "Express",
        "EOD Historical Data API"
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      "tags": [
        "trading",
        "eod-proxy",
        "react",
        "express",
        "minimal",
        "scaffold",
        "stock-data"
      ],
      "overview": "Schlanke React/Vite-App mit Express-Backend, deren einzige dokumentierte Aufgabe ein serverseitiger Proxy zur EOD Historical Data API ist. Wirkt wie ein frueher/minimaler Entwicklungsstand oder ein reduziertes Grundgeruest innerhalb der \"Stock Analysis Chatbot\"-Projektfamilie.",
      "security_count": 0,
      "readiness": {
        "project": "TrendPulse",
        "title": "TrendPulse — Stock Analysis Chatbot (EOD-Proxy)",
        "source": "0-REPLIT-MD-EXPORT/TrendPulse/replit.md",
        "score": 66,
        "grade": "C",
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          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Express",
          "JavaScript",
          "Node.js",
          "React",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "TrendPulse",
        "title": "TrendPulse — Stock Analysis Chatbot (EOD-Proxy)",
        "source": "0-REPLIT-MD-EXPORT/TrendPulse/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 98,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "truthmap",
      "title": "Map Projections: Theory, History, and Accuracy (truthmap)",
      "source": "0-REPLIT-MD-EXPORT/truthmap/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Static HTML",
        "Tailwind CSS"
      ],
      "tags": [
        "ebook",
        "kartografie",
        "bildung",
        "static",
        "tailwind",
        "wissenschaft",
        "geografie"
      ],
      "overview": "Ein digitales eBook, das die Wissenschaft und Politik der Kartografie erkundet — Kartenprojektionen, deren historische Entwicklung und Verzerrungsproblematik. Nutzt Tailwind CSS und hochauflösende, authentische Public-Domain-Kartenbilder von NASA und Wikimedia Commons.",
      "security_count": 0,
      "readiness": {
        "project": "truthmap",
        "title": "Map Projections: Theory, History, and Accuracy (truthmap)",
        "source": "0-REPLIT-MD-EXPORT/truthmap/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Python",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "truthmap",
        "title": "Map Projections: Theory, History, and Accuracy (truthmap)",
        "source": "0-REPLIT-MD-EXPORT/truthmap/replit.md",
        "score": 69,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 97,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 59,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "3 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 3,
        "security_count": 0
      }
    },
    {
      "project": "tts-batch",
      "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
      "source": "0-REPLIT-MD-EXPORT/tts-batch/replit.md",
      "cluster": "Infrastruktur",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "PostgreSQL",
        "Drizzle",
        "OpenAI TTS/STT"
      ],
      "tags": [
        "text-to-speech",
        "speech-to-text",
        "openai",
        "whisper",
        "audio",
        "transcription"
      ],
      "overview": "Moderne Web-App fuer fortgeschrittene Text-to-Speech(TTS)- und Speech-to-Text(STT)-Faehigkeiten mit OpenAIs neuesten Audio-APIs: GPT-4o-Transkriptionsmodelle, Echtzeit-Streaming, erweitertes Prompting, wortgenaue Zeitstempel und mehrere Stimmoptionen. React-Frontend + Express-Backend, TypeScript durchgaengig.",
      "security_count": 0,
      "readiness": {
        "project": "tts-batch",
        "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
        "source": "0-REPLIT-MD-EXPORT/tts-batch/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "JavaScript",
          "Node.js",
          "PostgreSQL",
          "React",
          "Redis",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "tts-batch",
        "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
        "source": "0-REPLIT-MD-EXPORT/tts-batch/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "11 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 11,
        "security_count": 0
      }
    },
    {
      "project": "VAULTY",
      "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
      "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md",
      "cluster": "DVAG-Versicherung",
      "status": "prototype",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML5",
        "Vanilla JS",
        "Web Crypto API (AES-256-GCM",
        "PBKDF2)",
        "PDF.js",
        "GPT-4o-mini",
        "Calendly",
        "localStorage"
      ],
      "tags": [
        "budget-coach",
        "dvag",
        "ai-chat",
        "pdf-anonymizer",
        "encryption",
        "pwa",
        "gamification",
        "dsgvo",
        "allfinanz"
      ],
      "overview": "Vaulty ist ein KI-gestützter Budget-Coach im Retro-Terminal-Look, der Nutzer:innen anhand der DVAG-Allfinanz-Regel \"30-30-30-10\" (Fixkosten/Konsum/Sparen/Schutz) durch ihre Finanzen führt — per Chat, Live-Slidern und einem 30-Jahres-Vermögensprognose-Panel. Ergänzt wird die App durch einen eigenständigen PDF-Kontoauszug-Anonymizer (`extractor.html`), der Kontoauszüge/Policen client-seitig anonymisiert, bevor Daten an eine KI weitergereicht werden. Die App ist als installierbare PWA mit 4 Themes, verschlüsseltem Datenexport und Lead-Übergabe an einen DVAG-Berater (Calendly) konzipiert. Zielgrup...",
      "security_count": 1,
      "readiness": {
        "project": "VAULTY",
        "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
        "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md",
        "score": 78,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "JavaScript",
          "Next.js",
          "React",
          "Svelte",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "VAULTY",
        "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
        "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md",
        "score": 95,
        "grade": "A",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 85,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "11 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 11,
        "security_count": 1
      }
    },
    {
      "project": "VEKTOR-NEWS",
      "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
      "source": "0-REPLIT-MD-EXPORT/VEKTOR-NEWS/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "Cron",
        "RSS Parser",
        "PostgreSQL",
        "Drizzle ORM"
      ],
      "tags": [
        "news",
        "rss",
        "aggregation",
        "fintech",
        "cyberpunk",
        "react",
        "cron",
        "bookmarks"
      ],
      "overview": "Finanz-News-Aggregations-Plattform mit KI-getriebener Cyberpunk-Ästhetik: Echtzeit-News aus mehreren Quellen zu Märkten, Aktien, Krypto und ETFs, Suche, kategorisierte Feeds, Bookmarks.",
      "security_count": 0,
      "readiness": {
        "project": "VEKTOR-NEWS",
        "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
        "source": "0-REPLIT-MD-EXPORT/VEKTOR-NEWS/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Drizzle",
          "Express",
          "Node.js",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "VEKTOR-NEWS",
        "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
        "source": "0-REPLIT-MD-EXPORT/VEKTOR-NEWS/replit.md",
        "score": 76,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "8 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 8,
        "security_count": 0
      }
    },
    {
      "project": "VisualDesignSystem",
      "title": "VisualDesignSystem — Le Marché AI (Landingpage fuer die Genitus-Trading-App-Suite)",
      "source": "0-REPLIT-MD-EXPORT/VisualDesignSystem/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Flask",
        "Flask-SQLAlchemy",
        "HTML/CSS",
        "Shepherd.js"
      ],
      "tags": [
        "portal",
        "landing-page",
        "genitus",
        "le-marche",
        "navigation-hub",
        "flask",
        "onboarding-tour"
      ],
      "overview": "Marketing-/Uebersichts-Landingpage \"Le Marché AI\" (Branding \"Genitus Inc.\"), die als zentraler Portal-Einstiegspunkt auf die verschiedenen einzelnen Trading-Tools des Nutzers verlinkt (LeGraph, L'Average, LeSentinel, L'Intraday, LeGlobal u.a.), inkl. Onboarding-Tour und Dark/Light-Theme-Toggle.",
      "security_count": 1,
      "readiness": {
        "project": "VisualDesignSystem",
        "title": "VisualDesignSystem — Le Marché AI (Landingpage fuer die Genitus-Trading-App-Suite)",
        "source": "0-REPLIT-MD-EXPORT/VisualDesignSystem/replit.md",
        "score": 64,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Python"
        ],
        "risk_count": 1
      },
      "rebuildability": {
        "project": "VisualDesignSystem",
        "title": "VisualDesignSystem — Le Marché AI (Landingpage fuer die Genitus-Trading-App-Suite)",
        "source": "0-REPLIT-MD-EXPORT/VisualDesignSystem/replit.md",
        "score": 66,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 99,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 83,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 1
      }
    },
    {
      "project": "VocabMaster",
      "title": "AI Lingua - Language Learning Platform (VocabMaster)",
      "source": "0-REPLIT-MD-EXPORT/VocabMaster/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "Flask",
        "Bootstrap 5",
        "Mistral AI",
        "OpenAI TTS",
        "Gunicorn"
      ],
      "tags": [
        "sprachlernen",
        "vokabeln",
        "chatbot",
        "text-to-speech",
        "flask",
        "mehrsprachig",
        "bildung",
        "ki-tutor"
      ],
      "overview": "KI-gestützte mehrsprachige Vokabellernplattform mit dynamischer Content-Generierung und adaptivem Lernen. Bietet Vokabeltraining, Chat-Funktionalität und Text-zu-Sprache über 20+ Sprachpaare.",
      "security_count": 0,
      "readiness": {
        "project": "VocabMaster",
        "title": "AI Lingua - Language Learning Platform (VocabMaster)",
        "source": "0-REPLIT-MD-EXPORT/VocabMaster/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "JavaScript",
          "Python"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "VocabMaster",
        "title": "AI Lingua - Language Learning Platform (VocabMaster)",
        "source": "0-REPLIT-MD-EXPORT/VocabMaster/replit.md",
        "score": 80,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 95,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "4 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 4,
        "security_count": 0
      }
    },
    {
      "project": "VOLUMEN-TRADING",
      "title": "0-VOLUMEN — Quant Trading Suite (VOLUMEN-TRADING)",
      "source": "0-REPLIT-MD-EXPORT/VOLUMEN-TRADING/replit.md",
      "cluster": "Fintech-Trading",
      "status": "production-ready",
      "rebuild_grade": "A",
      "tech_stack": [
        "Static HTML/JS",
        "Tailwind",
        "Chart-Libraries"
      ],
      "tags": [
        "quant",
        "volume-indicators",
        "machine-learning",
        "options-pricing",
        "portfolio",
        "static"
      ],
      "overview": "Eine Sammlung von 29 geprueften und bugbereinigten Quant-Trading-Prototypen: Volumen-Indikatoren, Regime-/ML-Modelle, Optionspreismodelle und ein vollstaendiger Portfolio/Index-Engine-Workflow — jeder Baustein als eigenstaendige HTML-Datei, gebuendelt in einer Flagship-App `MEGA-VOLUME.html`. **Wichtiger Korrekturhinweis**: Die vorherige replit.md dieses Ordners beschrieb faelschlich einen \"Cum-Ex & Cum-Cum Educational Guide\" — ein voellig anderes Thema. Diese Version ersetzt jenen fehlerhaften Stand durch eine am tatsaechlichen Code verifizierte Beschreibung.",
      "security_count": 0,
      "readiness": {
        "project": "VOLUMEN-TRADING",
        "title": "0-VOLUMEN — Quant Trading Suite (VOLUMEN-TRADING)",
        "source": "0-REPLIT-MD-EXPORT/VOLUMEN-TRADING/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "JavaScript",
          "Tailwind CSS"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "VOLUMEN-TRADING",
        "title": "0-VOLUMEN — Quant Trading Suite (VOLUMEN-TRADING)",
        "source": "0-REPLIT-MD-EXPORT/VOLUMEN-TRADING/replit.md",
        "score": 80,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 100,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 86,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 94,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "2 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 2,
        "security_count": 0
      }
    },
    {
      "project": "WeatherWhiz",
      "title": "Weather Dashboard Application (WeatherWhiz)",
      "source": "0-REPLIT-MD-EXPORT/WeatherWhiz/replit.md",
      "cluster": "Sonstiges",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "PostgreSQL",
        "Drizzle",
        "Brightsky API",
        "OpenAI"
      ],
      "tags": [
        "weather",
        "dashboard",
        "chatbot",
        "brightsky",
        "dwd",
        "forecast",
        "react"
      ],
      "overview": "Farbenfrohes, freundliches Full-Stack-Wetter-Dashboard (React, Express, PostgreSQL) mit echter Wetterdaten-Anbindung an die Brightsky-API (Deutscher Wetterdienst) und einem GPT-4o-mini-gestuetzten Chat-Interface fuer Wetterfragen.",
      "security_count": 0,
      "readiness": {
        "project": "WeatherWhiz",
        "title": "Weather Dashboard Application (WeatherWhiz)",
        "source": "0-REPLIT-MD-EXPORT/WeatherWhiz/replit.md",
        "score": 73,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 90,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Chart.js",
          "Drizzle",
          "Express",
          "JavaScript",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vercel",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "WeatherWhiz",
        "title": "Weather Dashboard Application (WeatherWhiz)",
        "source": "0-REPLIT-MD-EXPORT/WeatherWhiz/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 94,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "10 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 10,
        "security_count": 0
      }
    },
    {
      "project": "WebinarAiAssistant",
      "title": "Webinar Chat Application (WebinarAiAssistant)",
      "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md",
      "cluster": "Genitus-Oekosystem",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "WebSocket",
        "PostgreSQL",
        "Drizzle ORM",
        "OpenAI Proxy"
      ],
      "tags": [
        "webinar",
        "chat",
        "websocket",
        "ki-moderation",
        "echtzeit",
        "qa-modus",
        "drizzle",
        "react"
      ],
      "overview": "Echtzeit-Webinar-Chat-App (React + Express + WebSocket): interaktives Chat-Interface für Webinar-Teilnehmer mit Q&A-Modus, Teilnehmerstatus, Nachrichten-Reaktionen und KI-gestützter Moderation.",
      "security_count": 0,
      "readiness": {
        "project": "WebinarAiAssistant",
        "title": "Webinar Chat Application (WebinarAiAssistant)",
        "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md",
        "score": 66,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Cloudflare",
          "Drizzle",
          "Express",
          "Node.js",
          "PostgreSQL",
          "React",
          "Supabase",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "WebinarAiAssistant",
        "title": "Webinar Chat Application (WebinarAiAssistant)",
        "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md",
        "score": 72,
        "grade": "B",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 96,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "11 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 11,
        "security_count": 0
      }
    },
    {
      "project": "WebSiteEnhancer",
      "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
      "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "HTML/CSS/JS",
        "Express",
        "OpenAI GPT-4o",
        "Tailwind",
        "Bootstrap",
        "Materialize"
      ],
      "tags": [
        "ebook-generator",
        "ai-writing",
        "multi-model",
        "pdf-export",
        "streaming",
        "content-generation"
      ],
      "overview": "Eigenstaendige Web-App, die formatierte eBooks mittels Multi-Modell-KI-Generierung erstellt (OpenAI/Mistral/Claude/Gemini/Perplexity ueber einen gemeinsamen Proxy). \"Neural Orbitron\"-Cyberpunk-Redesign mit Live-SSE-Streaming, Ton-/Laengen-Steuerung und PDF-Export.",
      "security_count": 0,
      "readiness": {
        "project": "WebSiteEnhancer",
        "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
        "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer/replit.md",
        "score": 67,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 85,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Express",
          "JavaScript",
          "Node.js",
          "Tailwind CSS",
          "Vercel"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "WebSiteEnhancer",
        "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
        "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer/replit.md",
        "score": 79,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 92,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 65,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 60,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 91,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt.",
          "Tests oder Testwerkzeuge werden erwähnt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "6 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 6,
        "security_count": 0
      }
    },
    {
      "project": "WebSiteEnhancer1211",
      "title": "AI Website Generator (WebGen Pro)",
      "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md",
      "cluster": "Infrastruktur",
      "status": "prototype",
      "rebuild_grade": "C",
      "tech_stack": [
        "Express.js",
        "Node.js",
        "OpenAI API (gpt-4.1-nano)",
        "Vanilla JavaScript",
        "Tailwind CSS (CDN)",
        "HTML/CSS"
      ],
      "tags": [
        "ai-website-generator",
        "content-generation",
        "openai-proxy",
        "tailwind",
        "ideen-generator",
        "website-builder",
        "express"
      ],
      "overview": "Ein KI-gestützter Website-Generator, der über einen Express-Proxy OpenAI-Modelle anspricht, um vollständige Website-Texte für sechs Website-Typen und fünf CSS-Frameworks zu erzeugen und als herunterladbare HTML-Datei auszugeben. Zusätzlich enthält das Projekt einen eigenständigen \"KI-Ideen-Generator\" für Website-/Web-App-Konzepte. Es existieren mehrere UI-Generationen nebeneinander: ein modernes dunkles \"WebGen Pro\"-Dashboard (aktueller Default) und eine ältere helle \"Legacy\"-Oberfläche (`website-generator.html`).",
      "security_count": 5,
      "readiness": {
        "project": "WebSiteEnhancer1211",
        "title": "AI Website Generator (WebGen Pro)",
        "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md",
        "score": 71,
        "grade": "B",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 85,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Bootstrap",
          "Cloudflare",
          "Express",
          "JavaScript",
          "Netlify",
          "Next.js",
          "Node.js",
          "Tailwind CSS",
          "Vercel"
        ],
        "risk_count": 5
      },
      "rebuildability": {
        "project": "WebSiteEnhancer1211",
        "title": "AI Website Generator (WebGen Pro)",
        "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md",
        "score": 76,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 100,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 55,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 90,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "9 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 9,
        "security_count": 5
      }
    },
    {
      "project": "WikiIMAGE-1",
      "title": "Wikipedia-Style Article Generator (WikiIMAGE-1)",
      "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "B",
      "tech_stack": [
        "React",
        "Express",
        "PostgreSQL",
        "Drizzle",
        "GPT-4o"
      ],
      "tags": [
        "wikipedia",
        "encyclopedia",
        "ai-content-generation",
        "german",
        "articles",
        "gpt-4o"
      ],
      "overview": "Moderne Wikipedia-artige Artikelgenerierungs-App (React-Frontend, Express-Backend), die per OpenAI GPT-4o umfassende deutschsprachige Enzyklopaedie-Artikel zu beliebigen Themen generiert. Nutzer suchen Themen, browsen Kategorien und lesen KI-generierte Artikel im Wikipedia-Stil.",
      "security_count": 0,
      "readiness": {
        "project": "WikiIMAGE-1",
        "title": "Wikipedia-Style Article Generator (WikiIMAGE-1)",
        "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1/replit.md",
        "score": 61,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 45,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 30,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "WikiIMAGE-1",
        "title": "Wikipedia-Style Article Generator (WikiIMAGE-1)",
        "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1/replit.md",
        "score": 67,
        "grade": "C",
        "confidence": "medium",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 93,
            "evidence": "Overview, tags and project framing"
          },
          {
            "name": "Setup path",
            "score": 25,
            "evidence": "Install and run instructions"
          },
          {
            "name": "Architecture signal",
            "score": 100,
            "evidence": "Tech stack, API and integration signals"
          },
          {
            "name": "Quality evidence",
            "score": 30,
            "evidence": "Tests, validation and fallback language"
          },
          {
            "name": "Operational readiness",
            "score": 68,
            "evidence": "Deployment and data-layer clarity"
          },
          {
            "name": "Risk posture",
            "score": 88,
            "evidence": "Masked security findings and documentation warnings"
          }
        ],
        "blockers": [
          "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
          "Mehrere Dokumentationshinweise erschweren die Übergabe."
        ],
        "strengths": [
          "Produktziel ist im Projektkontext beschrieben.",
          "Mehrere technische Bausteine sind explizit benannt."
        ],
        "next_steps": [
          "Context Pack öffnen und als Build-Brief exportieren.",
          "Blocker mit den verlinkten Originalquellen verifizieren.",
          "7 geteilte Dependency(s) im Dependency Atlas prüfen."
        ],
        "dependency_count": 7,
        "security_count": 0
      }
    },
    {
      "project": "WikiIMAGE-1imgur",
      "title": "WikiIMAGE-1imgur — KI-Enzyklopaedie-Generator (Wikipedia-Style)",
      "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1imgur/replit.md",
      "cluster": "Bildung",
      "status": "production-ready",
      "rebuild_grade": "C",
      "tech_stack": [
        "React",
        "TypeScript",
        "Vite",
        "Express",
        "PostgreSQL",
        "Drizzle ORM",
        "OpenAI GPT-4o"
      ],
      "tags": [
        "wikipedia-clone",
        "ai-content-generation",
        "encyclopedia",
        "react",
        "express",
        "postgres",
        "german"
      ],
      "overview": "Moderne Wikipedia-artige Artikel-Generierungs-App mit React-Frontend und Express-Backend. Nutzt OpenAI GPT-4o, um umfassende Enzyklopaedie-Artikel auf Deutsch zu beliebigen Themen zu erzeugen; Nutzer koennen Themen suchen, Kategorien durchsuchen und KI-generierte Artikel im Wikipedia-Stil lesen.",
      "security_count": 0,
      "readiness": {
        "project": "WikiIMAGE-1imgur",
        "title": "WikiIMAGE-1imgur — KI-Enzyklopaedie-Generator (Wikipedia-Style)",
        "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1imgur/replit.md",
        "score": 69,
        "grade": "C",
        "dimensions": [
          {
            "name": "Dokumentation",
            "score": 100,
            "evidence": "Überschriften und Textumfang"
          },
          {
            "name": "Buildbarkeit",
            "score": 90,
            "evidence": "Build-/Run-Begriffe im Dokument"
          },
          {
            "name": "Tests",
            "score": 25,
            "evidence": "Testbegriffe oder Testwerkzeuge"
          },
          {
            "name": "Deployment",
            "score": 90,
            "evidence": "Deployment-/Production-Hinweise"
          },
          {
            "name": "Secrets",
            "score": 100,
            "evidence": "Automatischer Secret-/Risikoscan"
          },
          {
            "name": "Fehlerbehandlung",
            "score": 35,
            "evidence": "Fehler- und Fallback-Begriffe"
          },
          {
            "name": "Accessibility",
            "score": 30,
            "evidence": "Accessibility-Hinweise"
          },
          {
            "name": "Datenbankklarheit",
            "score": 90,
            "evidence": "Explizite Datenbank- oder No-DB-Aussage"
          },
          {
            "name": "API-Dokumentation",
            "score": 65,
            "evidence": "API-/Endpoint-Abschnitt"
          }
        ],
        "tech": [
          "Drizzle",
          "Express",
          "JavaScript",
          "Next.js",
          "PostgreSQL",
          "React",
          "Tailwind CSS",
          "TypeScript",
          "Vite"
        ],
        "risk_count": 0
      },
      "rebuildability": {
        "project": "WikiIMAGE-1imgur",
        "title": "WikiIMAGE-1imgur — KI-Enzyklopaedie-Generator (Wikipedia-Style)",
        "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1imgur/replit.md",
        "score": 80,
        "grade": "B",
        "confidence": "high",
        "dimensions": [
          {
            "name": "Product clarity",
            "score": 99,
            "evidence": "Overview, tags and project framing"
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      "category": "HTML project analysis",
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  ],
  "security": {
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        "kind": "credential",
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        "line": 32,
        "heading": "Content-Inventar",
        "excerpt": "- `ALL.html`: Navigations-Hub, 8 Tabs (Alt+1-8 Shortcuts), inkl. externer Iframes zu Finanzprodukte/Leitfaden. - `LOGIN.html`: Premium Advisor Portal, … ity, -60% time savings, +42% satisfaction\", Trust-Badges \"DSGVO compliant, DVAG certified\", Social Proof \"500+ DVAG advisors, 4.9/5 rating\".",
        "message": "Credential-ähnlicher Wert erkannt; Wert bleibt absichtlich maskiert."
      },
      {
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        "line": 35,
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        "excerpt": "- **Quick-Commands-Modal** mit eigener Befehlssyntax: `!AAPL` (Quote), `$TSLA` (Chart), `nGOOGL` (News), `bMSFT` (Fundamentals), `&NVDA` (Complete Ana … `, `checkAPIKeys()`, `toggleAIChat()`, `toggleWatchlist()`, `toggleCommands()`, `sendMessage()`, `executeQuickCommand()`, `addToWatchlist()`",
        "message": "Credential-ähnlicher Wert erkannt; Wert bleibt absichtlich maskiert."
      },
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        "source": "0-REPLIT-MD-EXPORT/MarketAnalyzer/replit.md",
        "kind": "credential",
        "severity": "critical",
        "line": 34,
        "heading": "orderbook-ai-standalone.html — Struktur und Logik",
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        "message": "Credential-ähnlicher Wert erkannt; Wert bleibt absichtlich maskiert."
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      {
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        "project": "StockGptIntelligence",
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        "message": "Credential-ähnlicher Wert erkannt; Wert bleibt absichtlich maskiert."
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        "severity": "high",
        "line": 34,
        "heading": "Tech-Stack (Ist-Zustand)",
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      {
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        "severity": "medium",
        "line": 83,
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        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
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        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 71,
        "heading": "Addon-Ideen",
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        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
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        "kind": "sensitive-config",
        "severity": "medium",
        "line": 35,
        "heading": "Tech-Stack (Ist-Zustand)",
        "excerpt": "## Tech-Stack (Ist-Zustand) Python/Flask (`app.py`) mit Flask-SQLAlchemy (`DeclarativeBase`), DB-Anbindung ueber `DATABASE_URL`, Session-Secret ueber  … ja2-Templates zu reinem HTML vorkompilieren (Suchfunktion muesste clientseitig gegen ein vorab exportiertes JSON laufen statt gegen die DB).",
        "message": "Sensible Konfigurationsreferenz erkannt; keine Werte werden exportiert."
      },
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        "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
        "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md",
        "kind": "sensitive-config",
        "severity": "medium",
        "line": 40,
        "heading": "Content-Inventar",
        "excerpt": "- `templates/success.html`, `templates/cancel.html` — Stripe-Checkout Erfolgs-/Abbruchseiten (nicht im Detail gelesen, Namen sprechen für sich). - `ap … utes.py` (laut Alt-`replit.md`, nicht separat gelesen): User/UserImage/Transaction-Modelle, Credit-Logik, Leonardo.ai- und Stripe-Endpunkte.",
        "message": "Sensible Konfigurationsreferenz erkannt; keine Werte werden exportiert."
      },
      {
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        "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md",
        "kind": "sensitive-config",
        "severity": "medium",
        "line": 57,
        "heading": "Tech-Stack (Ist-Zustand)",
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        "message": "Sensible Konfigurationsreferenz erkannt; keine Werte werden exportiert."
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        "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 34,
        "heading": "Content-Inventar",
        "excerpt": "- `hmm.html` - Hidden-Markov-Regime-Scanner: 2-3 versteckte Gauss-Zustaende (Bull/Bear/Sideways), Baum-Welch-EM + Viterbi, Regime-Chart, regime-basier … ion, nicht aktiv gepflegt. - Alle 5 aktiven Seiten haben CSV- und Standalone-HTML-Exportbuttons auf ihren Haupttabellen (rein clientseitig).",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
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        "project": "CRYPTO-TANKSTELLE",
        "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
        "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 47,
        "heading": "Upgrade-Potenzial",
        "excerpt": "## Upgrade-Potenzial - Legacy-Dateien (`legacy.html`, `portfolio.html`, `v5.html`) bewusst im Repo belassen - erschwert Navigation/Wartung; klare Arch … t auf fehlendes serverseitiges Caching/Rate-Limiting hin - ein einfacher Edge-Cache-Layer vor dem EOD-Proxy wuerde Client-Delays reduzieren.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "3b061ad1d561",
        "project": "CRYPTO-TANKSTELLE-archiv-20260715",
        "title": "CRYPTO-TANKSTELLE (archivierte Version, Stand 2026-07-15)",
        "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260715/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 19,
        "heading": "Was hier drin ist",
        "excerpt": "## Was hier drin ist Multi-Page-Krypto-Dashboard-Suite (statisches HTML, EOD-Proxy-Datenanbindung über `gemini-os.replit.app`): `index.html` (40 Coins … kov.html`, `knn.html`, `hmm.html` (Regime-Scanner). Legacy-Dateien `legacy.html`, `portfolio.html`, `v5.html` bewusst unverlinkt aufbewahrt.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "1ed5a5439b7d",
        "project": "genitus-db-online",
        "title": "genitus-db-online — GENITUS File Management System",
        "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md",
        "kind": "sensitive-config",
        "severity": "medium",
        "line": 26,
        "heading": "Sales & Pitch",
        "excerpt": "- **Demo-Flow**: 1) Ordnerstruktur der GENITUS-Kategorien zeigen (16 Kategorien) → 2) Datei per Drag&Drop in andere Kategorie verschieben → 3) \"Brain\" … atenbestand laden — Achtung: es existiert noch **keine funktionierende Login-Maske** (siehe Tech-Stack), das Tool ist aktuell offen nutzbar.",
        "message": "Sensible Konfigurationsreferenz erkannt; keine Werte werden exportiert."
      },
      {
        "id": "0316bf566187",
        "project": "INDEX-CONTROL",
        "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
        "source": "0-REPLIT-MD-EXPORT/INDEX-CONTROL/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 24,
        "heading": "Content-Inventar",
        "excerpt": "## Content-Inventar - `index.html` - Haupt-Command-Center, Titel wie oben. Root-Level-Apps/Fenster: `AUCTION.html`, `CELESTIAOS.com.html`, `CONSULTING … R`, `LEADS_GEN`, `LE_BUREAU`, `MISTRAL_IOS`, `NEURAL_HUB`, `NEXUS_AI_GAMES`, `ORBITRON_MAPS`, `SALES_ZENTRUM`, `SEARCH_VECTOR`, `SPORTS_AI`.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "587303db893b",
        "project": "INDEX-CONTROL",
        "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
        "source": "0-REPLIT-MD-EXPORT/INDEX-CONTROL/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 50,
        "heading": "Addon-Ideen",
        "excerpt": "- Direkte Verlinkung zu bereits im Bestand vorhandenen Schwesterprojekten (aldi → `ORBITRON-ALDI.html`-Nachfolger, VisualDesignSystem als weiterer Com … r Portal-Funktion. - Status-Anzeige je App (online/offline/deprecated) fuer die vielen Legacy-Varianten (`Legacy.html`, `GOLD-LEGACY.html`).",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "16d69f5f73e8",
        "project": "IntraTradeAnalyzer-1",
        "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
        "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 37,
        "heading": "Upgrade-Potenzial",
        "excerpt": "2. `MemStorage` durch die bereits konfigurierte Neon-Postgres-Anbindung ersetzen (Schema existiert bereits: `users`, `watchlist`, `trade_signals`). 3. … en — aktuell unklares Nebeneinander. 4. WebSocket-Reconnect-Logik/Backoff dokumentieren und testen (kritisch bei Yahoo-Finance-Rate-Limits).",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "2b7de66e72b3",
        "project": "LANG-CHAIN",
        "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
        "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 27,
        "heading": "Content-Inventar",
        "excerpt": "- `index.html` — \"⚡ LANGCHAIN STACK // Master Index\": Such-/Theme-Toggle-Hub (Light/Dark via `data-theme`) mit Kacheln zu allen 15 Tools, Meta-Beschre … , Mistral-Chat, Embeddings/RAG, DALL-E 3, TTS/Whisper, EOD-Market-Data) und pro Tool: Architektur, API-Calls, Key-Techniken, Funktionsliste.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "f1b4c26eae18",
        "project": "LANG-CHAIN",
        "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
        "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 61,
        "heading": "Upgrade-Potenzial",
        "excerpt": "- **HMM/Viterbi-Code-Duplikation auflösen**: Laut Doku ist die HMM-Regime-Detection in Hedge-Fund-Hub und Hedge-Fund-Macro \"Code-Replication\" (identis … Security-Aesthetic vs. Dark-Radial-Gradient-Agent) — ein zentrales Token-System würde die Marke \"LANGCHAIN STACK\" visuell kohärenter machen.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "c0594deddd4e",
        "project": "LeMarche-PWA-Export",
        "title": "Le Marché PWA Export",
        "source": "0-REPLIT-MD-EXPORT/LeMarche-PWA-Export/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 27,
        "heading": "Content-Inventar",
        "excerpt": "- `login-app.html`: eigenständige Login-Only-Variante. - `LeMarche-Workshell.html`: Legacy-Workshell (Vor-Merge-Version). - `ORBITRON-Le-Mache.html`: dritte Launcher-Variante, nutzt ausschließlich absolute URLs zu `sales-bot-pwa.replit.app`.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "32120b7a4003",
        "project": "ModernCoder",
        "title": "Python IDE (ModernCoder)",
        "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 40,
        "heading": "Upgrade-Potenzial",
        "excerpt": "## Upgrade-Potenzial 1. Laut eigenem Changelog (Mai 2026 \"STRUCTURAL CLEANUP\") wurden bereits mehrere tote Legacy-Dateien entfernt (`ide.tsx` alt, `id … heitsrisiko bei mehreren gleichzeitigen Nutzern, Sandboxing (z.B. via Docker-Container pro Session oder Resource-Limits) dringend ergaenzen.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "d0c4dae456cf",
        "project": "orbitron-maps",
        "title": "orbitron-maps — Ultimate Guide: Reiseführer, Karten & Weltraum-Tools",
        "source": "0-REPLIT-MD-EXPORT/orbitron-maps/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 98,
        "heading": "Hinweis",
        "excerpt": "## Hinweis Diese replit.md wurde am 2026-09-01 als Rebuild+Upgrade+Addon+Sales-Spezifikation (v3) erstellt, basierend auf den extrahierten Dokumenten  … B, 36 vollstaendige Reisefuehrer) als veraltet/falsch widerlegt. Tier wurde entsprechend von der vorlaeufigen Einstufung 3 auf 1 korrigiert.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "aeb206e1d9bc",
        "project": "secureALL",
        "title": "secureALL — DVAG Beratungstrainer",
        "source": "0-REPLIT-MD-EXPORT/secureALL/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 43,
        "heading": "Upgrade-Potenzial",
        "excerpt": "- Eigene \"Future Enhancements (Architect Recommendations)\"-Liste benennt bereits offene Punkte: fehlende Smoke-Tests fuer Function-Calling-Tool-Aufruf … tsstatus der Legacy-Endpunkte, sollte geklaert werden. - CSV-Upload ohne dokumentierte Validierung/Fehlerbehandlung bei fehlerhaftem Format.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "2a9009205f06",
        "project": "STOCK-SLIDES-TEMPLATES",
        "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
        "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 31,
        "heading": "Content-Inventar",
        "excerpt": "- `11-neon-cyberpunk-AAPL.html` bis `51-luxury-gold-SCHW.html` — 41 tickerspezifische Decks, gleiche Folienstruktur wie oben, jeweils in einem der zeh … ofildaten, OHLCV-Historie, Finanzberichte, abgeleitete Kennzahlen, Legacy-Fundamentaldaten, Qualitätsflags) und Coverage-Manifest je Ticker.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "e860f8b453c9",
        "project": "STOCK-SLIDES-TEMPLATES",
        "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
        "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 32,
        "heading": "Content-Inventar",
        "excerpt": "- `CURATION_REVIEW.md` — Original-Kurationsdokumentation (Volltext siehe unten unter Design-Tokens/Tech-Stack-Kontext): beschreibt Scope (51 Decks, 50 … Summary, Markt-/Bewertungs-Snapshot, Finanzkennzahlen-Trendtabellen, Risiko/Technik-Kontext, Qualitätsflags, Quellenverweise, Limitationen).",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "04bcbd19ffb3",
        "project": "STOCK-SLIDES-TEMPLATES",
        "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
        "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 48,
        "heading": "Tech-Stack (Ist-Zustand)",
        "excerpt": "- Jedes Deck ist ein einzelnes, selbstenthaltenes HTML/CSS/JS-Dokument (Inline-`<style>`, Inline-`<script>` für Folien-Navigation) — kein Server, kein … ses Skript sind die vorhandenen Decks ein eingefrorener Snapshot vom 29.08. (Dateidatum) und können nicht ohne Weiteres aktualisiert werden.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "750512d1191f",
        "project": "STOCK-SLIDES-TEMPLATES",
        "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
        "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 56,
        "heading": "Upgrade-Potenzial",
        "excerpt": "5. Keine Export-Funktion (PDF/PNG) pro Deck sichtbar — für Versand/Archivierung außerhalb des Browsers sinnvoll. 6. Legacy-Rohdaten (50 Risiko- + 41 F … erhalten, sind aber nicht mehr Quelle der Wahrheit — im Rebuild klar als \"Archiv\" von den kanonischen `raw-data/complete-*`-Ordnern trennen.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "fe56691c3fc4",
        "project": "summa",
        "title": "summa — Philosophia et Theologia Salutis",
        "source": "0-REPLIT-MD-EXPORT/summa/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 86,
        "heading": "Hinweis",
        "excerpt": "## Hinweis Diese replit.md wurde am 2026-09-01 als Rebuild+Upgrade+Addon+Sales-Spezifikation (v3) erstellt, basierend auf direkter Pruefung von `summa … t zu — das Dokument ist fertig und umfasst alle acht Teile bis zur Synthesis. Diese Version ersetzt die veraltete Beschreibung vollstaendig.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "00d8c6fab1da",
        "project": "VAULTY",
        "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
        "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 78,
        "heading": "PDF-Anonymizer (extractor.html)",
        "excerpt": "- Erweiterter Namen-Scan (aggressivere Mustererkennung) → NEU Scan-Modi: „📊 KONTOAUSZUG\", „📋 VERSICHERUNGSPOLICE\", „⚡ BEIDES\". Rechtsgrundlage im UI-T … obe, ChatGPT, …) mit Word-Boundary-Matching und Plausibilitäts-Range 1–150€/Hit; CHF-Unterstützung inkl. Apostroph-Parsing (`1'234.50 CHF`).",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "85b17706774c",
        "project": "VisualDesignSystem",
        "title": "VisualDesignSystem — Le Marché AI (Landingpage fuer die Genitus-Trading-App-Suite)",
        "source": "0-REPLIT-MD-EXPORT/VisualDesignSystem/replit.md",
        "kind": "sensitive-config",
        "severity": "medium",
        "line": 36,
        "heading": "Tech-Stack (Ist-Zustand)",
        "excerpt": "## Tech-Stack (Ist-Zustand) Backend: Python/Flask, zwei parallele Einstiegspunkte (`app.py` mit `flask_sqlalchemy`/`DATABASE_URL`, `main.py` ohne DB). … ite ohne DB funktioniert. Fuer echtes Static-Hosting: `main.py`-Ansatz als Referenz nehmen, Tool-Liste als JSON-Fixture statt Jinja2-Render.",
        "message": "Sensible Konfigurationsreferenz erkannt; keine Werte werden exportiert."
      },
      {
        "id": "79d3e5940131",
        "project": "WebSiteEnhancer1211",
        "title": "AI Website Generator (WebGen Pro)",
        "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 14,
        "heading": "Overview",
        "excerpt": "## Overview Ein KI-gestützter Website-Generator, der über einen Express-Proxy OpenAI-Modelle anspricht, um vollständige Website-Texte für sechs Websit … ander: ein modernes dunkles \"WebGen Pro\"-Dashboard (aktueller Default) und eine ältere helle \"Legacy\"-Oberfläche (`website-generator.html`).",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "30a7c087b4f6",
        "project": "WebSiteEnhancer1211",
        "title": "AI Website Generator (WebGen Pro)",
        "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 32,
        "heading": "Content-Inventar",
        "excerpt": "- `GET /` → liefert `webgen-pro.html` (aktuelle Standard-UI) - `GET /legacy` → liefert `website-generator.html` (ältere UI, aus der ursprünglichen replit.md als \"Hauptinterface\" dokumentiert, inzwischen aber zur Legacy-Route degradiert) - `GET /ideas.html` → Ideen-Generator",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "fc0df42e3af0",
        "project": "WebSiteEnhancer1211",
        "title": "AI Website Generator (WebGen Pro)",
        "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 38,
        "heading": "Content-Inventar",
        "excerpt": "**`website-generator.html`** (Legacy-UI, 219 Zeilen, Tailwind-CDN, Font \"Inter\"): Formular mit drei Feldern — Website-Titel/Thema, Website-Kategorie ( … ad-HTML-Button, *\"📝 Text-Only\"*-Export, *\"🔄 Neue Website\"*. Verlinkt zum Ideen-Generator via *\"💡 KI-Ideen Generator\"*-Button im Card-Header.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "7e472a42ae10",
        "project": "WebSiteEnhancer1211",
        "title": "AI Website Generator (WebGen Pro)",
        "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 40,
        "heading": "Content-Inventar",
        "excerpt": "**`webgen-pro.html`** (aktuelle Default-UI, dunkles Cyberpunk-artiges Dashboard, Titel *\"WebGen Pro · KI Website Studio\"*): Enthält u. a. einen Live-C … n>Pro</span></h1>`. Deutlich technischer/Entwickler-orientierter aufgebaut als die Legacy-Seite (Terminal-artige Optik statt Formular-Card).",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      },
      {
        "id": "1b95adaf9a5d",
        "project": "WebSiteEnhancer1211",
        "title": "AI Website Generator (WebGen Pro)",
        "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md",
        "kind": "outdated-dependency",
        "severity": "medium",
        "line": 54,
        "heading": "Design-Tokens",
        "excerpt": "**Legacy-UI (`website-generator.html`)**: Font *Inter* (Google Fonts, Weights 300–800). `.gradient-bg { background: linear-gradient(135deg, #667eea 0% … ellow-500`. Submit-Button: `bg-gradient-to-r from-blue-600 to-purple-600`. Progress-Bar: `linear-gradient(90deg, #3b82f6 0%, #8b5cf6 100%)`.",
        "message": "Hinweis auf eine veraltete oder abgekündigte Abhängigkeit."
      }
    ],
    "summary": {
      "medium": 30,
      "critical": 4,
      "high": 1
    }
  },
  "tech": [
    {
      "name": "JavaScript",
      "count": 134,
      "projects": [
        {
          "project": "0-VOLUMEN",
          "title": "0-VOLUMEN — Quant Trading Suite",
          "source": "0-REPLIT-MD-EXPORT/0-VOLUMEN/replit.md"
        },
        {
          "project": "1agames",
          "title": "1agames — NEURAL Games Collection",
          "source": "0-REPLIT-MD-EXPORT/1agames/replit.md"
        },
        {
          "project": "agency",
          "title": "Genitus Inc. - AI Agency Website (agency)",
          "source": "0-REPLIT-MD-EXPORT/agency/replit.md"
        },
        {
          "project": "AIBondIntelligence",
          "title": "AIBondIntelligence — Genitus Inc. AI/Crypto Bonds Platform",
          "source": "0-REPLIT-MD-EXPORT/AIBondIntelligence/replit.md"
        },
        {
          "project": "AIInvestmentAnalyzer",
          "title": "AIInvestmentAnalyzer - LeDash AI Investment Dashboard",
          "source": "0-REPLIT-MD-EXPORT/AIInvestmentAnalyzer/replit.md"
        },
        {
          "project": "AILanguageExplorer",
          "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
          "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md"
        },
        {
          "project": "AiSketchCoder",
          "title": "AiSketchCoder — Drawing App with Code Generation",
          "source": "0-REPLIT-MD-EXPORT/AiSketchCoder/replit.md"
        },
        {
          "project": "aldi",
          "title": "aldi — ALDI MEGA-PLATTFORM Project",
          "source": "0-REPLIT-MD-EXPORT/aldi/replit.md"
        },
        {
          "project": "anwalt",
          "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
          "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md"
        },
        {
          "project": "Auction-Option",
          "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
          "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md"
        },
        {
          "project": "BLUEHOST",
          "title": "BLUEHOST — domusaurea.tech Archiv-Export",
          "source": "0-REPLIT-MD-EXPORT/BLUEHOST/replit.md"
        },
        {
          "project": "bluehost-export",
          "title": "bluehost-export (GoldShield AI - Premium Financial Intelligence)",
          "source": "0-REPLIT-MD-EXPORT/bluehost-export/replit.md"
        },
        {
          "project": "BoostBrain2",
          "title": "BoostBrain2 — Claude AI Chat Application",
          "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md"
        },
        {
          "project": "BrokerBuddy",
          "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
          "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md"
        },
        {
          "project": "CareerCrafter",
          "title": "Job Search Application (CareerCrafter)",
          "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md"
        },
        {
          "project": "claude code export",
          "title": "claude code export — Aktien / Börse / Trading Sammlung",
          "source": "0-REPLIT-MD-EXPORT/claude code export/replit.md"
        },
        {
          "project": "CLAUDE-PWA",
          "title": "CLAUDE-PWA — Neutral PWA Master Template",
          "source": "0-REPLIT-MD-EXPORT/CLAUDE-PWA/replit.md"
        },
        {
          "project": "CPlusPlus",
          "title": "NEXUS Command — RTS",
          "source": "0-REPLIT-MD-EXPORT/CPlusPlus/replit.md"
        },
        {
          "project": "CreditWall",
          "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
          "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md"
        },
        {
          "project": "CRYPTO-TANKSTELLE",
          "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
          "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md"
        },
        {
          "project": "CRYPTO-TANKSTELLE-archiv-20260714",
          "title": "GENITUS // Quantum Crypto Orbitron (Archiv-Vorgängerversion)",
          "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260714/replit.md"
        },
        {
          "project": "CryptoTraderPro",
          "title": "CryptoTraderPro — FinTech Startup EOD Proxy",
          "source": "0-REPLIT-MD-EXPORT/CryptoTraderPro/replit.md"
        },
        {
          "project": "cumex",
          "title": "Cum-Ex & Cum-Cum Educational Guide (cumex)",
          "source": "0-REPLIT-MD-EXPORT/cumex/replit.md"
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          "project": "DeepDiveResearcher",
          "title": "DeepDiveResearcher — Deep Research Bot",
          "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md"
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          "title": "Genitus Inc - Denarius | Financial Analytics Dashboard",
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          "project": "DiabetesGuardian",
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          "project": "DVAG-LEMIX",
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        {
          "project": "DVAGintranet",
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          "project": "FUNandPROFIT",
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        {
          "project": "games",
          "title": "ORBITRON - Neural Games Hub (games)",
          "source": "0-REPLIT-MD-EXPORT/games/replit.md"
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          "project": "GAMMA-APP",
          "title": "Gamma Studio Engine",
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          "title": "Genitus Inc. - Trading Platform",
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          "title": "Generali Insurance & Investment Tools (genrali2)",
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          "title": "GoldShield AI - Premium Financial Intelligence (GLOBALFINTECH)",
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          "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md"
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          "title": "Goldshield AI - Stock Tracker",
          "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md"
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          "title": "Secret Vault Server (gptKEYserver)",
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          "project": "HEIKIN-ASHI-1",
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          "source": "0-REPLIT-MD-EXPORT/AiSketchCoder/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/daniel/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/DiabetesGuardian/replit.md"
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          "title": "DVAG-LEMIX — DVAG Financial Calculator Tools",
          "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md"
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        {
          "project": "dvag-test",
          "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
          "source": "0-REPLIT-MD-EXPORT/dvag-test/replit.md"
        },
        {
          "project": "DVAGintranet",
          "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
          "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md"
        },
        {
          "project": "DVAGlanding",
          "title": "DVAG FinanzExpert - AI-Powered Financial Advisory System",
          "source": "0-REPLIT-MD-EXPORT/DVAGlanding/replit.md"
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          "project": "dvao-os-1",
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          "source": "0-REPLIT-MD-EXPORT/dvao-os-1/replit.md"
        },
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          "project": "ebookdvga",
          "title": "DVAG Investment Strategies for Beginners (ebookdvga)",
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        {
          "project": "famer-und-jager",
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          "source": "0-REPLIT-MD-EXPORT/famer-und-jager/replit.md"
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          "title": "FibonacciTrader - FiboTrader Pro / Fibonacci-Based Trading Signals Platform",
          "source": "0-REPLIT-MD-EXPORT/FibonacciTrader/replit.md"
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        {
          "project": "Fintech",
          "title": "Fintech - Sammlung statischer Trading/Fintech-Tools",
          "source": "0-REPLIT-MD-EXPORT/Fintech/replit.md"
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        {
          "project": "ForexAnalyticsDashboard",
          "title": "Forex Analytics Dashboard",
          "source": "0-REPLIT-MD-EXPORT/ForexAnalyticsDashboard/replit.md"
        },
        {
          "project": "FUNandPROFIT",
          "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
          "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md"
        },
        {
          "project": "games",
          "title": "ORBITRON - Neural Games Hub (games)",
          "source": "0-REPLIT-MD-EXPORT/games/replit.md"
        },
        {
          "project": "GAMMA-APP",
          "title": "Gamma Studio Engine",
          "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md"
        },
        {
          "project": "GEMINI-OS",
          "title": "GEMINI-OS // NEURAL-OS Agent Hub + EOD-Proxy Backend",
          "source": "0-REPLIT-MD-EXPORT/GEMINI-OS/replit.md"
        },
        {
          "project": "generali",
          "title": "Generali - Versicherung & Investment Platform (generali)",
          "source": "0-REPLIT-MD-EXPORT/generali/replit.md"
        },
        {
          "project": "genitormatrix",
          "title": "genitormatrix — CODE GENITOR: Theological Science Fiction Trilogy",
          "source": "0-REPLIT-MD-EXPORT/genitormatrix/replit.md"
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        {
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          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
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          "title": "Genitus Inc. - Realtime AI Robo Advisor",
          "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md"
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        {
          "project": "GenitusTrade",
          "title": "Genitus Inc. - Trading Platform",
          "source": "0-REPLIT-MD-EXPORT/GenitusTrade/replit.md"
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        {
          "project": "genrali2",
          "title": "Generali Insurance & Investment Tools (genrali2)",
          "source": "0-REPLIT-MD-EXPORT/genrali2/replit.md"
        },
        {
          "project": "GLOBALFINTECH",
          "title": "GoldShield AI - Premium Financial Intelligence (GLOBALFINTECH)",
          "source": "0-REPLIT-MD-EXPORT/GLOBALFINTECH/replit.md"
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        {
          "project": "GlobalNewsCentral",
          "title": "GlobalNewsCentral — NEWSFLOW.AI",
          "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md"
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        {
          "project": "goldi1",
          "title": "goldi1 — GoldShield Trading AI",
          "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md"
        },
        {
          "project": "goldi1-archiv-20260608",
          "title": "GoldShield Trading AI (Archiv)",
          "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260608/replit.md"
        },
        {
          "project": "GoldshieldTracker",
          "title": "Goldshield AI - Stock Tracker",
          "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md"
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        {
          "project": "gptKEYserver",
          "title": "Secret Vault Server (gptKEYserver)",
          "source": "0-REPLIT-MD-EXPORT/gptKEYserver/replit.md"
        },
        {
          "project": "HEIKIN-ASHI-1",
          "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
          "source": "0-REPLIT-MD-EXPORT/HEIKIN-ASHI-1/replit.md"
        },
        {
          "project": "history",
          "title": "history — Geschichtsbibliotheken Projekt (100% Complete)",
          "source": "0-REPLIT-MD-EXPORT/history/replit.md"
        },
        {
          "project": "HTML-BACKUP",
          "title": "HTML-BACKUP — Vulgata Chronica Bibel-Galerie & Kreuzweg",
          "source": "0-REPLIT-MD-EXPORT/HTML-BACKUP/replit.md"
        },
        {
          "project": "html-export",
          "title": "html-export — Katholisch-KI Plattform (Quantum Spiritual OS)",
          "source": "0-REPLIT-MD-EXPORT/html-export/replit.md"
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        {
          "project": "Huashaltsbuch",
          "title": "DVAG Finance Application (Huashaltsbuch)",
          "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md"
        },
        {
          "project": "INDEX-CONTROL",
          "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
          "source": "0-REPLIT-MD-EXPORT/INDEX-CONTROL/replit.md"
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        {
          "project": "IntraTradeAnalyzer-1",
          "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
          "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md"
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        {
          "project": "joojo",
          "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
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        {
          "project": "kath-ki",
          "title": "Katholisch-KI (kath-ki)",
          "source": "0-REPLIT-MD-EXPORT/kath-ki/replit.md"
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        {
          "project": "KI-DZ-Club",
          "title": "KI-Club - AI Workshops for Children",
          "source": "0-REPLIT-MD-EXPORT/KI-DZ-Club/replit.md"
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        {
          "project": "KORRES",
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          "source": "0-REPLIT-MD-EXPORT/KORRES/replit.md"
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        {
          "project": "kostolany",
          "title": "kostolany — Book/Cover Publishing Workspace",
          "source": "0-REPLIT-MD-EXPORT/kostolany/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md"
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        {
          "project": "latein-bibiothek",
          "title": "latein-bibiothek — Lingua Latina Nova",
          "source": "0-REPLIT-MD-EXPORT/latein-bibiothek/replit.md"
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        {
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          "title": "Lead Extraction Tool (LeadHarvester)",
          "source": "0-REPLIT-MD-EXPORT/LeadHarvester (1)/replit.md"
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        {
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          "title": "Legal-TECH — ORBITRON LEGALTECH",
          "source": "0-REPLIT-MD-EXPORT/Legal-TECH/replit.md"
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        {
          "project": "LeMarche-PWA-Export",
          "title": "Le Marché PWA Export",
          "source": "0-REPLIT-MD-EXPORT/LeMarche-PWA-Export/replit.md"
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        {
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          "title": "LeRAG — Genitus AI Chatbot (RAG)",
          "source": "0-REPLIT-MD-EXPORT/LeRAG/replit.md"
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        {
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          "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
          "source": "0-REPLIT-MD-EXPORT/LeWATCH/replit.md"
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        {
          "project": "liturgie-1",
          "title": "Liturgisches Archiv (liturgie-1)",
          "source": "0-REPLIT-MD-EXPORT/liturgie-1/replit.md"
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        {
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          "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
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        {
          "project": "MajorBotInterface-lemarche",
          "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
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        {
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        {
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        {
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          "source": "0-REPLIT-MD-EXPORT/DaBATCH-JOB/replit.md"
        },
        {
          "project": "daBATCH-job-runde3",
          "title": "Corporate MVPs (daBATCH-job-runde3)",
          "source": "0-REPLIT-MD-EXPORT/daBATCH-job-runde3/replit.md"
        },
        {
          "project": "DABATCHFORREAL",
          "title": "BATCH PROCESSOR — Mistral Batch API Interface",
          "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md"
        },
        {
          "project": "dacasestudy",
          "title": "dacasestudy — KI Power Index (KIP) Final Report 2025",
          "source": "0-REPLIT-MD-EXPORT/dacasestudy/replit.md"
        },
        {
          "project": "daniel",
          "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
          "source": "0-REPLIT-MD-EXPORT/daniel/replit.md"
        },
        {
          "project": "DeepDiveResearcher",
          "title": "DeepDiveResearcher — Deep Research Bot",
          "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md"
        },
        {
          "project": "deluxedatamanger",
          "title": "Admin Dashboard (deluxedatamanger)",
          "source": "0-REPLIT-MD-EXPORT/deluxedatamanger/replit.md"
        },
        {
          "project": "DVAG-LEMIX",
          "title": "DVAG-LEMIX — DVAG Financial Calculator Tools",
          "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md"
        },
        {
          "project": "DVAGintranet",
          "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
          "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md"
        },
        {
          "project": "DVAGlanding",
          "title": "DVAG FinanzExpert - AI-Powered Financial Advisory System",
          "source": "0-REPLIT-MD-EXPORT/DVAGlanding/replit.md"
        },
        {
          "project": "ebookdvga",
          "title": "DVAG Investment Strategies for Beginners (ebookdvga)",
          "source": "0-REPLIT-MD-EXPORT/ebookdvga/replit.md"
        },
        {
          "project": "famer-und-jager",
          "title": "famer-und-jager — German Financial Education Ebook Library + HAUSMAISTER Saga",
          "source": "0-REPLIT-MD-EXPORT/famer-und-jager/replit.md"
        },
        {
          "project": "FUNandPROFIT",
          "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
          "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md"
        },
        {
          "project": "GAMMA-APP",
          "title": "Gamma Studio Engine",
          "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md"
        },
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        },
        {
          "project": "GenitusBroker",
          "title": "Genitus Inc. - Realtime AI Robo Advisor",
          "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md"
        },
        {
          "project": "GenitusTrade",
          "title": "Genitus Inc. - Trading Platform",
          "source": "0-REPLIT-MD-EXPORT/GenitusTrade/replit.md"
        },
        {
          "project": "GoldshieldTracker",
          "title": "Goldshield AI - Stock Tracker",
          "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md"
        },
        {
          "project": "GoldShieldTrading",
          "title": "GoldShield AI Trading (Genitus Inc.)",
          "source": "0-REPLIT-MD-EXPORT/GoldShieldTrading/replit.md"
        },
        {
          "project": "HealthAiCompanion",
          "title": "MedAssist - German Medical AI Assistant",
          "source": "0-REPLIT-MD-EXPORT/HealthAiCompanion/replit.md"
        },
        {
          "project": "html-export",
          "title": "html-export — Katholisch-KI Plattform (Quantum Spiritual OS)",
          "source": "0-REPLIT-MD-EXPORT/html-export/replit.md"
        },
        {
          "project": "Huashaltsbuch",
          "title": "DVAG Finance Application (Huashaltsbuch)",
          "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md"
        },
        {
          "project": "IntraTradeAnalyzer-1",
          "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
          "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md"
        },
        {
          "project": "joojo",
          "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
          "source": "0-REPLIT-MD-EXPORT/joojo/replit.md"
        },
        {
          "project": "KI-DZ-Club",
          "title": "KI-Club - AI Workshops for Children",
          "source": "0-REPLIT-MD-EXPORT/KI-DZ-Club/replit.md"
        },
        {
          "project": "KORRES",
          "title": "KORRES — FrançaisPro AI-Powered French Learning Application",
          "source": "0-REPLIT-MD-EXPORT/KORRES/replit.md"
        },
        {
          "project": "LeadHarvester",
          "title": "Lead Extraction Tool (LeadHarvester)",
          "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md"
        },
        {
          "project": "LeadHarvester (1)",
          "title": "Lead Extraction Tool (LeadHarvester)",
          "source": "0-REPLIT-MD-EXPORT/LeadHarvester (1)/replit.md"
        },
        {
          "project": "liturgie-1",
          "title": "Liturgisches Archiv (liturgie-1)",
          "source": "0-REPLIT-MD-EXPORT/liturgie-1/replit.md"
        },
        {
          "project": "MajorBotInterface",
          "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md"
        },
        {
          "project": "MajorBotInterface-lecode",
          "title": "LeCode AI Coding Hub",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md"
        },
        {
          "project": "MajorBotInterface-lemarche",
          "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lemarche/replit.md"
        },
        {
          "project": "MARKOV-TRADING",
          "title": "MARKOV-TRADING // Markov Stack — Trend Rider & Gambling Suite",
          "source": "0-REPLIT-MD-EXPORT/MARKOV-TRADING/replit.md"
        },
        {
          "project": "ModernCoder",
          "title": "Python IDE (ModernCoder)",
          "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md"
        },
        {
          "project": "MOURINHO",
          "title": "MOURINHO — Football Academy Pro / SFD '75",
          "source": "0-REPLIT-MD-EXPORT/MOURINHO/replit.md"
        },
        {
          "project": "Nice-Watchliste",
          "title": "GENITUS Watchlist Hub (Nice-Watchliste)",
          "source": "0-REPLIT-MD-EXPORT/Nice-Watchliste/replit.md"
        },
        {
          "project": "OFFICE-FREE",
          "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
          "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md"
        },
        {
          "project": "ORBITRON-BROTHERS",
          "title": "Orbitron Desktop PWA (ORBITRON-BROTHERS)",
          "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS/replit.md"
        },
        {
          "project": "ORBITRON-BROTHERS-archiv-20260806-a",
          "title": "ORBITRON-BROTHERS (Archiv)",
          "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS-archiv-20260806-a/replit.md"
        },
        {
          "project": "PerplexityMaster",
          "title": "PerplexityMaster (Perplexity Matrix)",
          "source": "0-REPLIT-MD-EXPORT/PerplexityMaster/replit.md"
        },
        {
          "project": "QuantumCalculator",
          "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
          "source": "0-REPLIT-MD-EXPORT/QuantumCalculator/replit.md"
        },
        {
          "project": "quizDVAG",
          "title": "DVAG Lern- und Trainings-Simulator",
          "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md"
        },
        {
          "project": "QuoteHunter",
          "title": "QuoteHunter - BetOdds Pro",
          "source": "0-REPLIT-MD-EXPORT/QuoteHunter/replit.md"
        },
        {
          "project": "Radio",
          "title": "Neural Streaming Platform (Radio)",
          "source": "0-REPLIT-MD-EXPORT/Radio/replit.md"
        },
        {
          "project": "SalesSymphony",
          "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
          "source": "0-REPLIT-MD-EXPORT/SalesSymphony/replit.md"
        },
        {
          "project": "secureALL",
          "title": "secureALL — DVAG Beratungstrainer",
          "source": "0-REPLIT-MD-EXPORT/secureALL/replit.md"
        },
        {
          "project": "SlideSwapViewer",
          "title": "Orderbook AI (SlideSwapViewer)",
          "source": "0-REPLIT-MD-EXPORT/SlideSwapViewer/replit.md"
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        {
          "project": "StockComparator",
          "title": "StockComparator — Stock Analysis Chatbot / Professional Trading Analysis Platform",
          "source": "0-REPLIT-MD-EXPORT/StockComparator/replit.md"
        },
        {
          "project": "StockGptIntelligence",
          "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
          "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md"
        },
        {
          "project": "TravelMate",
          "title": "TravelGPT (TravelMate)",
          "source": "0-REPLIT-MD-EXPORT/TravelMate/replit.md"
        },
        {
          "project": "truthmap",
          "title": "Map Projections: Theory, History, and Accuracy (truthmap)",
          "source": "0-REPLIT-MD-EXPORT/truthmap/replit.md"
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        {
          "project": "tts-batch",
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        {
          "project": "VAULTY",
          "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
          "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md"
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        {
          "project": "VEKTOR-NEWS",
          "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
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        },
        {
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        {
          "project": "WeatherWhiz",
          "title": "Weather Dashboard Application (WeatherWhiz)",
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        {
          "project": "WebinarAiAssistant",
          "title": "Webinar Chat Application (WebinarAiAssistant)",
          "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md"
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        {
          "project": "WebSiteEnhancer",
          "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
          "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer/replit.md"
        },
        {
          "project": "WebSiteEnhancer1211",
          "title": "AI Website Generator (WebGen Pro)",
          "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md"
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        {
          "project": "WikiIMAGE-1",
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          "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1/replit.md"
        },
        {
          "project": "WikiIMAGE-1imgur",
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          "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1imgur/replit.md"
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        {
          "project": "XTRACKERS",
          "title": "XTRACKERS — Xtrackers by DWS: Bloomberg Terminal Dashboard",
          "source": "0-REPLIT-MD-EXPORT/XTRACKERS/replit.md"
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      ],
      "warnings": [
        "Möglicherweise hartkodierte Nutzung"
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      "project_count": 75
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    {
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      "category": "Technology",
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        {
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        {
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        {
          "project": "AutoGenerationPro",
          "title": "AutoBotHub",
          "source": "0-REPLIT-MD-EXPORT/AutoGenerationPro/replit.md"
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        {
          "project": "BoostBrain2",
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          "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md"
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        {
          "project": "BrokerBuddy",
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          "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md"
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        {
          "project": "CareerCrafter",
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          "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md"
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        {
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          "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
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        {
          "project": "CryptoTraderPro",
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        {
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        {
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        {
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        {
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          "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md"
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          "project": "GlobalNewsCentral",
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          "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260608/replit.md"
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        {
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        {
          "project": "HealthAiCompanion",
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          "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md"
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        {
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          "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md"
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          "title": "Lead Extraction Tool (LeadHarvester)",
          "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lemarche/replit.md"
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          "title": "MarketAnalyzer - EXECUTED ORDERBOOK AI",
          "source": "0-REPLIT-MD-EXPORT/MarketAnalyzer/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md"
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        {
          "project": "NEURAL-PORTFOLIO",
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          "source": "0-REPLIT-MD-EXPORT/NEURAL-PORTFOLIO/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md"
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          "project": "OPEN-SEARCH",
          "title": "VectorSearch Library (OPEN-SEARCH)",
          "source": "0-REPLIT-MD-EXPORT/OPEN-SEARCH/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/openBB/replit.md"
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        {
          "project": "PerplexityMaster",
          "title": "PerplexityMaster (Perplexity Matrix)",
          "source": "0-REPLIT-MD-EXPORT/PerplexityMaster/replit.md"
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          "project": "QuantumCalculator",
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        {
          "project": "QuoteHunter",
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          "source": "0-REPLIT-MD-EXPORT/QuoteHunter/replit.md"
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        {
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          "source": "0-REPLIT-MD-EXPORT/SalesSymphony/replit.md"
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        {
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          "project": "StockGptIntelligence",
          "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
          "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md"
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        {
          "project": "StockSentinel (1)",
          "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
          "source": "0-REPLIT-MD-EXPORT/StockSentinel (1)/replit.md"
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          "title": "Genitus Trading Dashboard (TraderDashboard)",
          "source": "0-REPLIT-MD-EXPORT/TraderDashboard/replit.md"
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        {
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        {
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          "title": "AI Website Generator (WebGen Pro)",
          "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md"
        }
      ],
      "warnings": [
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 51
    },
    {
      "name": "Python",
      "category": "Technology",
      "projects": [
        {
          "project": "agency",
          "title": "Genitus Inc. - AI Agency Website (agency)",
          "source": "0-REPLIT-MD-EXPORT/agency/replit.md"
        },
        {
          "project": "ANGELUS",
          "title": "ANGELUS · Neural Liturgical Bell",
          "source": "0-REPLIT-MD-EXPORT/ANGELUS/replit.md"
        },
        {
          "project": "anwalt",
          "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
          "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md"
        },
        {
          "project": "bluehost-stack-catalog",
          "title": "bluehost-stack-catalog",
          "source": "0-REPLIT-MD-EXPORT/bluehost-stack-catalog/replit.md"
        },
        {
          "project": "ChartStyler",
          "title": "ChartStyler — PeakValleyAI Stock Analysis",
          "source": "0-REPLIT-MD-EXPORT/ChartStyler/replit.md"
        },
        {
          "project": "CreditWall",
          "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
          "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md"
        },
        {
          "project": "DABATCHFORREAL",
          "title": "BATCH PROCESSOR — Mistral Batch API Interface",
          "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md"
        },
        {
          "project": "DataScienceToolkit",
          "title": "DataScienceToolkit — Le Marché AI Trading Dashboard",
          "source": "0-REPLIT-MD-EXPORT/DataScienceToolkit/replit.md"
        },
        {
          "project": "dvag-test",
          "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
          "source": "0-REPLIT-MD-EXPORT/dvag-test/replit.md"
        },
        {
          "project": "ebookdvga",
          "title": "DVAG Investment Strategies for Beginners (ebookdvga)",
          "source": "0-REPLIT-MD-EXPORT/ebookdvga/replit.md"
        },
        {
          "project": "famer-und-jager",
          "title": "famer-und-jager — German Financial Education Ebook Library + HAUSMAISTER Saga",
          "source": "0-REPLIT-MD-EXPORT/famer-und-jager/replit.md"
        },
        {
          "project": "FUNandPROFIT",
          "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
          "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md"
        },
        {
          "project": "generali",
          "title": "Generali - Versicherung & Investment Platform (generali)",
          "source": "0-REPLIT-MD-EXPORT/generali/replit.md"
        },
        {
          "project": "GenitusBroker",
          "title": "Genitus Inc. - Realtime AI Robo Advisor",
          "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md"
        },
        {
          "project": "GoldshieldTracker",
          "title": "Goldshield AI - Stock Tracker",
          "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md"
        },
        {
          "project": "LANG-CHAIN",
          "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
          "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md"
        },
        {
          "project": "latein-bibiothek",
          "title": "latein-bibiothek — Lingua Latina Nova",
          "source": "0-REPLIT-MD-EXPORT/latein-bibiothek/replit.md"
        },
        {
          "project": "LeadHarvester",
          "title": "Lead Extraction Tool (LeadHarvester)",
          "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md"
        },
        {
          "project": "LeadHarvester (1)",
          "title": "Lead Extraction Tool (LeadHarvester)",
          "source": "0-REPLIT-MD-EXPORT/LeadHarvester (1)/replit.md"
        },
        {
          "project": "MajorBotInterface-lecode",
          "title": "LeCode AI Coding Hub",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md"
        },
        {
          "project": "ModernCoder",
          "title": "Python IDE (ModernCoder)",
          "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md"
        },
        {
          "project": "MOURINHO",
          "title": "MOURINHO — Football Academy Pro / SFD '75",
          "source": "0-REPLIT-MD-EXPORT/MOURINHO/replit.md"
        },
        {
          "project": "NEURAL-TRADING-APPS",
          "title": "NEURAL Trading Apps — Genitus Finanz-Terminal-Sammlung",
          "source": "0-REPLIT-MD-EXPORT/NEURAL-TRADING-APPS/replit.md"
        },
        {
          "project": "OPEN-SEARCH",
          "title": "VectorSearch Library (OPEN-SEARCH)",
          "source": "0-REPLIT-MD-EXPORT/OPEN-SEARCH/replit.md"
        },
        {
          "project": "openBB",
          "title": "openBB — OpenBB Terminal Proxy Platform",
          "source": "0-REPLIT-MD-EXPORT/openBB/replit.md"
        },
        {
          "project": "QuantumCalculator",
          "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
          "source": "0-REPLIT-MD-EXPORT/QuantumCalculator/replit.md"
        },
        {
          "project": "quizDVAG",
          "title": "DVAG Lern- und Trainings-Simulator",
          "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md"
        },
        {
          "project": "Radio",
          "title": "Neural Streaming Platform (Radio)",
          "source": "0-REPLIT-MD-EXPORT/Radio/replit.md"
        },
        {
          "project": "RandomStockTrader",
          "title": "RandomStockTrader — Random Stock Analysis (Coin Toss Trading)",
          "source": "0-REPLIT-MD-EXPORT/RandomStockTrader/replit.md"
        },
        {
          "project": "ResponsiveCacheHandler",
          "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
          "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md"
        },
        {
          "project": "SlideSwapViewer",
          "title": "Orderbook AI (SlideSwapViewer)",
          "source": "0-REPLIT-MD-EXPORT/SlideSwapViewer/replit.md"
        },
        {
          "project": "STOCK-HTML5-REPORTS",
          "title": "STOCK-HTML5-REPORTS - Curated HTML5 Research Reports",
          "source": "0-REPLIT-MD-EXPORT/STOCK-HTML5-REPORTS/replit.md"
        },
        {
          "project": "STOCK-SLIDES-TEMPLATES",
          "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
          "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md"
        },
        {
          "project": "StockSentinel",
          "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
          "source": "0-REPLIT-MD-EXPORT/StockSentinel/replit.md"
        },
        {
          "project": "StockSentinel (1)",
          "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
          "source": "0-REPLIT-MD-EXPORT/StockSentinel (1)/replit.md"
        },
        {
          "project": "SymbolAnalyzer",
          "title": "SymbolAnalyzer — LEMOMENT API / NEURAL MATRIX Trading Tools",
          "source": "0-REPLIT-MD-EXPORT/SymbolAnalyzer/replit.md"
        },
        {
          "project": "TENSOR-FLOW",
          "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
          "source": "0-REPLIT-MD-EXPORT/TENSOR-FLOW/replit.md"
        },
        {
          "project": "truthmap",
          "title": "Map Projections: Theory, History, and Accuracy (truthmap)",
          "source": "0-REPLIT-MD-EXPORT/truthmap/replit.md"
        },
        {
          "project": "VisualDesignSystem",
          "title": "VisualDesignSystem — Le Marché AI (Landingpage fuer die Genitus-Trading-App-Suite)",
          "source": "0-REPLIT-MD-EXPORT/VisualDesignSystem/replit.md"
        },
        {
          "project": "VocabMaster",
          "title": "AI Lingua - Language Learning Platform (VocabMaster)",
          "source": "0-REPLIT-MD-EXPORT/VocabMaster/replit.md"
        },
        {
          "project": "XTRACKERS",
          "title": "XTRACKERS — Xtrackers by DWS: Bloomberg Terminal Dashboard",
          "source": "0-REPLIT-MD-EXPORT/XTRACKERS/replit.md"
        }
      ],
      "warnings": [
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 41
    },
    {
      "name": "Vercel",
      "category": "Cloud / service",
      "projects": [
        {
          "project": "anwalt",
          "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
          "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md"
        },
        {
          "project": "BoostBrain2",
          "title": "BoostBrain2 — Claude AI Chat Application",
          "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md"
        },
        {
          "project": "BrokerBuddy",
          "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
          "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md"
        },
        {
          "project": "CreditWall",
          "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
          "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md"
        },
        {
          "project": "DABATCHFORREAL",
          "title": "BATCH PROCESSOR — Mistral Batch API Interface",
          "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md"
        },
        {
          "project": "daniel",
          "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
          "source": "0-REPLIT-MD-EXPORT/daniel/replit.md"
        },
        {
          "project": "DeepDiveResearcher",
          "title": "DeepDiveResearcher — Deep Research Bot",
          "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md"
        },
        {
          "project": "dvag-test",
          "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
          "source": "0-REPLIT-MD-EXPORT/dvag-test/replit.md"
        },
        {
          "project": "DVAGintranet",
          "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
          "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md"
        },
        {
          "project": "ebookdvga",
          "title": "DVAG Investment Strategies for Beginners (ebookdvga)",
          "source": "0-REPLIT-MD-EXPORT/ebookdvga/replit.md"
        },
        {
          "project": "FibonacciTrader",
          "title": "FibonacciTrader - FiboTrader Pro / Fibonacci-Based Trading Signals Platform",
          "source": "0-REPLIT-MD-EXPORT/FibonacciTrader/replit.md"
        },
        {
          "project": "FUNandPROFIT",
          "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
          "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md"
        },
        {
          "project": "HEIKIN-ASHI-1",
          "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
          "source": "0-REPLIT-MD-EXPORT/HEIKIN-ASHI-1/replit.md"
        },
        {
          "project": "IntraTradeAnalyzer-1",
          "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
          "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md"
        },
        {
          "project": "latein-bibiothek",
          "title": "latein-bibiothek — Lingua Latina Nova",
          "source": "0-REPLIT-MD-EXPORT/latein-bibiothek/replit.md"
        },
        {
          "project": "LeadHarvester",
          "title": "Lead Extraction Tool (LeadHarvester)",
          "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md"
        },
        {
          "project": "MajorBotInterface",
          "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md"
        },
        {
          "project": "MINDSTAR",
          "title": "MINDSTAR // CODEBREAKER ULTIMATE",
          "source": "0-REPLIT-MD-EXPORT/MINDSTAR/replit.md"
        },
        {
          "project": "MOURINHO",
          "title": "MOURINHO — Football Academy Pro / SFD '75",
          "source": "0-REPLIT-MD-EXPORT/MOURINHO/replit.md"
        },
        {
          "project": "OFFICE-FREE",
          "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
          "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md"
        },
        {
          "project": "powerSLIDES",
          "title": "DVAG Sales Script - Corporate Level (powerSLIDES)",
          "source": "0-REPLIT-MD-EXPORT/powerSLIDES/replit.md"
        },
        {
          "project": "quizDVAG",
          "title": "DVAG Lern- und Trainings-Simulator",
          "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md"
        },
        {
          "project": "QuoteHunter",
          "title": "QuoteHunter - BetOdds Pro",
          "source": "0-REPLIT-MD-EXPORT/QuoteHunter/replit.md"
        },
        {
          "project": "ResponsiveCacheHandler",
          "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
          "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md"
        },
        {
          "project": "secureALL",
          "title": "secureALL — DVAG Beratungstrainer",
          "source": "0-REPLIT-MD-EXPORT/secureALL/replit.md"
        },
        {
          "project": "summa",
          "title": "summa — Philosophia et Theologia Salutis",
          "source": "0-REPLIT-MD-EXPORT/summa/replit.md"
        },
        {
          "project": "TENSOR-FLOW",
          "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
          "source": "0-REPLIT-MD-EXPORT/TENSOR-FLOW/replit.md"
        },
        {
          "project": "TravelMate",
          "title": "TravelGPT (TravelMate)",
          "source": "0-REPLIT-MD-EXPORT/TravelMate/replit.md"
        },
        {
          "project": "tts-batch",
          "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
          "source": "0-REPLIT-MD-EXPORT/tts-batch/replit.md"
        },
        {
          "project": "VAULTY",
          "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
          "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md"
        },
        {
          "project": "WeatherWhiz",
          "title": "Weather Dashboard Application (WeatherWhiz)",
          "source": "0-REPLIT-MD-EXPORT/WeatherWhiz/replit.md"
        },
        {
          "project": "WebSiteEnhancer",
          "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
          "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer/replit.md"
        },
        {
          "project": "WebSiteEnhancer1211",
          "title": "AI Website Generator (WebGen Pro)",
          "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md"
        },
        {
          "project": "XTRACKERS",
          "title": "XTRACKERS — Xtrackers by DWS: Bloomberg Terminal Dashboard",
          "source": "0-REPLIT-MD-EXPORT/XTRACKERS/replit.md"
        }
      ],
      "warnings": [
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 34
    },
    {
      "name": "Cloudflare",
      "category": "Cloud / service",
      "projects": [
        {
          "project": "anwalt",
          "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
          "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md"
        },
        {
          "project": "AutoGenerationPro",
          "title": "AutoBotHub",
          "source": "0-REPLIT-MD-EXPORT/AutoGenerationPro/replit.md"
        },
        {
          "project": "BrokerBuddy",
          "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
          "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md"
        },
        {
          "project": "CareerCrafter",
          "title": "Job Search Application (CareerCrafter)",
          "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md"
        },
        {
          "project": "CryptoTraderPro",
          "title": "CryptoTraderPro — FinTech Startup EOD Proxy",
          "source": "0-REPLIT-MD-EXPORT/CryptoTraderPro/replit.md"
        },
        {
          "project": "DaBATCH-JOB",
          "title": "Corporate App Gallery — Premium HTML5 Solutions",
          "source": "0-REPLIT-MD-EXPORT/DaBATCH-JOB/replit.md"
        },
        {
          "project": "DABATCHFORREAL",
          "title": "BATCH PROCESSOR — Mistral Batch API Interface",
          "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md"
        },
        {
          "project": "Fintech",
          "title": "Fintech - Sammlung statischer Trading/Fintech-Tools",
          "source": "0-REPLIT-MD-EXPORT/Fintech/replit.md"
        },
        {
          "project": "GlobalNewsCentral",
          "title": "GlobalNewsCentral — NEWSFLOW.AI",
          "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md"
        },
        {
          "project": "gptKEYserver",
          "title": "Secret Vault Server (gptKEYserver)",
          "source": "0-REPLIT-MD-EXPORT/gptKEYserver/replit.md"
        },
        {
          "project": "HEIKIN-ASHI-1",
          "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
          "source": "0-REPLIT-MD-EXPORT/HEIKIN-ASHI-1/replit.md"
        },
        {
          "project": "HTML-BACKUP",
          "title": "HTML-BACKUP — Vulgata Chronica Bibel-Galerie & Kreuzweg",
          "source": "0-REPLIT-MD-EXPORT/HTML-BACKUP/replit.md"
        },
        {
          "project": "IntraTradeAnalyzer-1",
          "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
          "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md"
        },
        {
          "project": "joojo",
          "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
          "source": "0-REPLIT-MD-EXPORT/joojo/replit.md"
        },
        {
          "project": "LeadHarvester",
          "title": "Lead Extraction Tool (LeadHarvester)",
          "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md"
        },
        {
          "project": "LeMarche-PWA-Export",
          "title": "Le Marché PWA Export",
          "source": "0-REPLIT-MD-EXPORT/LeMarche-PWA-Export/replit.md"
        },
        {
          "project": "MajorBotInterface",
          "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md"
        },
        {
          "project": "MINDSTAR",
          "title": "MINDSTAR // CODEBREAKER ULTIMATE",
          "source": "0-REPLIT-MD-EXPORT/MINDSTAR/replit.md"
        },
        {
          "project": "NEURAL-TRADING-APPS",
          "title": "NEURAL Trading Apps — Genitus Finanz-Terminal-Sammlung",
          "source": "0-REPLIT-MD-EXPORT/NEURAL-TRADING-APPS/replit.md"
        },
        {
          "project": "OFFICE-FREE",
          "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
          "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md"
        },
        {
          "project": "Radio",
          "title": "Neural Streaming Platform (Radio)",
          "source": "0-REPLIT-MD-EXPORT/Radio/replit.md"
        },
        {
          "project": "ResponsiveCacheHandler",
          "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
          "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md"
        },
        {
          "project": "TraderDashboard",
          "title": "Genitus Trading Dashboard (TraderDashboard)",
          "source": "0-REPLIT-MD-EXPORT/TraderDashboard/replit.md"
        },
        {
          "project": "TrendPulse",
          "title": "TrendPulse — Stock Analysis Chatbot (EOD-Proxy)",
          "source": "0-REPLIT-MD-EXPORT/TrendPulse/replit.md"
        },
        {
          "project": "VAULTY",
          "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
          "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md"
        },
        {
          "project": "VEKTOR-NEWS",
          "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
          "source": "0-REPLIT-MD-EXPORT/VEKTOR-NEWS/replit.md"
        },
        {
          "project": "WebinarAiAssistant",
          "title": "Webinar Chat Application (WebinarAiAssistant)",
          "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md"
        },
        {
          "project": "WebSiteEnhancer1211",
          "title": "AI Website Generator (WebGen Pro)",
          "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md"
        }
      ],
      "warnings": [
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 28
    },
    {
      "name": "PostgreSQL",
      "category": "Database",
      "projects": [
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          "project": "AILanguageExplorer",
          "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
          "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md"
        },
        {
          "project": "AiSketchCoder",
          "title": "AiSketchCoder — Drawing App with Code Generation",
          "source": "0-REPLIT-MD-EXPORT/AiSketchCoder/replit.md"
        },
        {
          "project": "BoostBrain2",
          "title": "BoostBrain2 — Claude AI Chat Application",
          "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md"
        },
        {
          "project": "CareerCrafter",
          "title": "Job Search Application (CareerCrafter)",
          "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md"
        },
        {
          "project": "CreditWall",
          "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
          "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md"
        },
        {
          "project": "DeepDiveResearcher",
          "title": "DeepDiveResearcher — Deep Research Bot",
          "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md"
        },
        {
          "project": "deluxedatamanger",
          "title": "Admin Dashboard (deluxedatamanger)",
          "source": "0-REPLIT-MD-EXPORT/deluxedatamanger/replit.md"
        },
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        },
        {
          "project": "GlobalNewsCentral",
          "title": "GlobalNewsCentral — NEWSFLOW.AI",
          "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md"
        },
        {
          "project": "goldi1",
          "title": "goldi1 — GoldShield Trading AI",
          "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md"
        },
        {
          "project": "goldi1-archiv-20260608",
          "title": "GoldShield Trading AI (Archiv)",
          "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260608/replit.md"
        },
        {
          "project": "HealthAiCompanion",
          "title": "MedAssist - German Medical AI Assistant",
          "source": "0-REPLIT-MD-EXPORT/HealthAiCompanion/replit.md"
        },
        {
          "project": "Huashaltsbuch",
          "title": "DVAG Finance Application (Huashaltsbuch)",
          "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md"
        },
        {
          "project": "IntraTradeAnalyzer-1",
          "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
          "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md"
        },
        {
          "project": "MajorBotInterface-lecode",
          "title": "LeCode AI Coding Hub",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md"
        },
        {
          "project": "MajorBotInterface-lemarche",
          "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lemarche/replit.md"
        },
        {
          "project": "ModernCoder",
          "title": "Python IDE (ModernCoder)",
          "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md"
        },
        {
          "project": "OFFICE-FREE",
          "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
          "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md"
        },
        {
          "project": "QuantumCalculator",
          "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
          "source": "0-REPLIT-MD-EXPORT/QuantumCalculator/replit.md"
        },
        {
          "project": "SalesSymphony",
          "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
          "source": "0-REPLIT-MD-EXPORT/SalesSymphony/replit.md"
        },
        {
          "project": "StockGptIntelligence",
          "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
          "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md"
        },
        {
          "project": "TENSOR-FLOW",
          "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
          "source": "0-REPLIT-MD-EXPORT/TENSOR-FLOW/replit.md"
        },
        {
          "project": "tts-batch",
          "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
          "source": "0-REPLIT-MD-EXPORT/tts-batch/replit.md"
        },
        {
          "project": "VEKTOR-NEWS",
          "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
          "source": "0-REPLIT-MD-EXPORT/VEKTOR-NEWS/replit.md"
        },
        {
          "project": "WeatherWhiz",
          "title": "Weather Dashboard Application (WeatherWhiz)",
          "source": "0-REPLIT-MD-EXPORT/WeatherWhiz/replit.md"
        },
        {
          "project": "WebinarAiAssistant",
          "title": "Webinar Chat Application (WebinarAiAssistant)",
          "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md"
        },
        {
          "project": "WikiIMAGE-1",
          "title": "Wikipedia-Style Article Generator (WikiIMAGE-1)",
          "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1/replit.md"
        },
        {
          "project": "WikiIMAGE-1imgur",
          "title": "WikiIMAGE-1imgur — KI-Enzyklopaedie-Generator (Wikipedia-Style)",
          "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1imgur/replit.md"
        }
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        "Möglicherweise hartkodierte Nutzung"
      ],
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    {
      "name": "Drizzle",
      "category": "Database",
      "projects": [
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          "project": "AILanguageExplorer",
          "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
          "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md"
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        {
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          "title": "AiSketchCoder — Drawing App with Code Generation",
          "source": "0-REPLIT-MD-EXPORT/AiSketchCoder/replit.md"
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          "title": "AutoBotHub",
          "source": "0-REPLIT-MD-EXPORT/AutoGenerationPro/replit.md"
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        {
          "project": "BoostBrain2",
          "title": "BoostBrain2 — Claude AI Chat Application",
          "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md"
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        {
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          "title": "Job Search Application (CareerCrafter)",
          "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md"
        },
        {
          "project": "DeepDiveResearcher",
          "title": "DeepDiveResearcher — Deep Research Bot",
          "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md"
        },
        {
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          "title": "Admin Dashboard (deluxedatamanger)",
          "source": "0-REPLIT-MD-EXPORT/deluxedatamanger/replit.md"
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        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        },
        {
          "project": "GlobalNewsCentral",
          "title": "GlobalNewsCentral — NEWSFLOW.AI",
          "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md"
        },
        {
          "project": "HealthAiCompanion",
          "title": "MedAssist - German Medical AI Assistant",
          "source": "0-REPLIT-MD-EXPORT/HealthAiCompanion/replit.md"
        },
        {
          "project": "Huashaltsbuch",
          "title": "DVAG Finance Application (Huashaltsbuch)",
          "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md"
        },
        {
          "project": "IntraTradeAnalyzer-1",
          "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
          "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md"
        },
        {
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          "title": "LeCode AI Coding Hub",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md"
        },
        {
          "project": "MajorBotInterface-lemarche",
          "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lemarche/replit.md"
        },
        {
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          "title": "Python IDE (ModernCoder)",
          "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md"
        },
        {
          "project": "OFFICE-FREE",
          "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
          "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md"
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        {
          "project": "QuantumCalculator",
          "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
          "source": "0-REPLIT-MD-EXPORT/QuantumCalculator/replit.md"
        },
        {
          "project": "SalesSymphony",
          "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
          "source": "0-REPLIT-MD-EXPORT/SalesSymphony/replit.md"
        },
        {
          "project": "StockGptIntelligence",
          "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
          "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md"
        },
        {
          "project": "TravelMate",
          "title": "TravelGPT (TravelMate)",
          "source": "0-REPLIT-MD-EXPORT/TravelMate/replit.md"
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        {
          "project": "tts-batch",
          "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
          "source": "0-REPLIT-MD-EXPORT/tts-batch/replit.md"
        },
        {
          "project": "VEKTOR-NEWS",
          "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
          "source": "0-REPLIT-MD-EXPORT/VEKTOR-NEWS/replit.md"
        },
        {
          "project": "WeatherWhiz",
          "title": "Weather Dashboard Application (WeatherWhiz)",
          "source": "0-REPLIT-MD-EXPORT/WeatherWhiz/replit.md"
        },
        {
          "project": "WebinarAiAssistant",
          "title": "Webinar Chat Application (WebinarAiAssistant)",
          "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md"
        },
        {
          "project": "WikiIMAGE-1",
          "title": "Wikipedia-Style Article Generator (WikiIMAGE-1)",
          "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1/replit.md"
        },
        {
          "project": "WikiIMAGE-1imgur",
          "title": "WikiIMAGE-1imgur — KI-Enzyklopaedie-Generator (Wikipedia-Style)",
          "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1imgur/replit.md"
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        "Möglicherweise hartkodierte Nutzung"
      ],
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          "source": "0-REPLIT-MD-EXPORT/0-VOLUMEN/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/AIInvestmentAnalyzer/replit.md"
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          "title": "aldi — ALDI MEGA-PLATTFORM Project",
          "source": "0-REPLIT-MD-EXPORT/aldi/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/claude code export/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md"
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          "project": "CRYPTO-TANKSTELLE-archiv-20260714",
          "title": "GENITUS // Quantum Crypto Orbitron (Archiv-Vorgängerversion)",
          "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260714/replit.md"
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        {
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          "source": "0-REPLIT-MD-EXPORT/DaBATCH-JOB/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/dacasestudy/replit.md"
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        {
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          "title": "DataScienceToolkit — Le Marché AI Trading Dashboard",
          "source": "0-REPLIT-MD-EXPORT/DataScienceToolkit/replit.md"
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          "project": "DVAG-LEMIX",
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          "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md"
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        {
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          "source": "0-REPLIT-MD-EXPORT/ForexAnalyticsDashboard/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md"
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        {
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          "source": "0-REPLIT-MD-EXPORT/generali/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/GenitusTrade/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/genrali2/replit.md"
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          "title": "Goldshield AI - Stock Tracker",
          "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md"
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        {
          "project": "ResponsiveCacheHandler",
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          "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md"
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        {
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          "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md"
        },
        {
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          "source": "0-REPLIT-MD-EXPORT/WeatherWhiz/replit.md"
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        {
          "project": "XTRACKERS",
          "title": "XTRACKERS — Xtrackers by DWS: Bloomberg Terminal Dashboard",
          "source": "0-REPLIT-MD-EXPORT/XTRACKERS/replit.md"
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        "Möglicherweise hartkodierte Nutzung"
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          "title": "aldi — ALDI MEGA-PLATTFORM Project",
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        {
          "project": "anwalt",
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          "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/daBATCH-job-runde3/replit.md"
        },
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          "source": "0-REPLIT-MD-EXPORT/deepresearch/replit.md"
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        {
          "project": "DVAG-LEMIX",
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          "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md"
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        {
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          "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md"
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        {
          "project": "GoldshieldTracker",
          "title": "Goldshield AI - Stock Tracker",
          "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md"
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          "project": "kath-ki",
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          "source": "0-REPLIT-MD-EXPORT/kath-ki/replit.md"
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        {
          "project": "KORRES",
          "title": "KORRES — FrançaisPro AI-Powered French Learning Application",
          "source": "0-REPLIT-MD-EXPORT/KORRES/replit.md"
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        {
          "project": "kostolany",
          "title": "kostolany — Book/Cover Publishing Workspace",
          "source": "0-REPLIT-MD-EXPORT/kostolany/replit.md"
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        {
          "project": "LeadHarvester",
          "title": "Lead Extraction Tool (LeadHarvester)",
          "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md"
        },
        {
          "project": "LeadHarvester (1)",
          "title": "Lead Extraction Tool (LeadHarvester)",
          "source": "0-REPLIT-MD-EXPORT/LeadHarvester (1)/replit.md"
        },
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          "project": "LeWATCH",
          "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
          "source": "0-REPLIT-MD-EXPORT/LeWATCH/replit.md"
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        {
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          "source": "0-REPLIT-MD-EXPORT/MarketAnalyzer/replit.md"
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        {
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          "source": "0-REPLIT-MD-EXPORT/pwa-history/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/Radio/replit.md"
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        {
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          "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md"
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        {
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        "Möglicherweise hartkodierte Nutzung"
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          "project": "AIBondIntelligence",
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          "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/HTML-BACKUP/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/QuoteHunter/replit.md"
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          "source": "0-REPLIT-MD-EXPORT/summa/replit.md"
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        {
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        {
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        {
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        },
        {
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          "source": "0-REPLIT-MD-EXPORT/QuoteHunter/replit.md"
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        {
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        {
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        },
        {
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          "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
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        },
        {
          "project": "WebSiteEnhancer1211",
          "title": "AI Website Generator (WebGen Pro)",
          "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md"
        },
        {
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          "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1imgur/replit.md"
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        {
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        "Möglicherweise hartkodierte Nutzung"
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        {
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        },
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          "source": "0-REPLIT-MD-EXPORT/DaBATCH-JOB/replit.md"
        },
        {
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          "source": "0-REPLIT-MD-EXPORT/daniel/replit.md"
        },
        {
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          "source": "0-REPLIT-MD-EXPORT/DiabetesGuardian/replit.md"
        },
        {
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        {
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          "source": "0-REPLIT-MD-EXPORT/genrali2/replit.md"
        },
        {
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          "title": "MedAssist - German Medical AI Assistant",
          "source": "0-REPLIT-MD-EXPORT/HealthAiCompanion/replit.md"
        },
        {
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          "title": "LeRAG — Genitus AI Chatbot (RAG)",
          "source": "0-REPLIT-MD-EXPORT/LeRAG/replit.md"
        },
        {
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        },
        {
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          "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
          "source": "0-REPLIT-MD-EXPORT/SalesSymphony/replit.md"
        },
        {
          "project": "TravelMate",
          "title": "TravelGPT (TravelMate)",
          "source": "0-REPLIT-MD-EXPORT/TravelMate/replit.md"
        },
        {
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          "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
          "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md"
        },
        {
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          "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md"
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        {
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        "Möglicherweise hartkodierte Nutzung"
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          "source": "0-REPLIT-MD-EXPORT/gptKEYserver/replit.md"
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        "Möglicherweise hartkodierte Nutzung"
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    },
    {
      "name": "External API · babybounce500.github.io",
      "category": "API",
      "projects": [
        {
          "project": "BrokerBuddy",
          "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
          "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md"
        },
        {
          "project": "MajorBotInterface-lecode",
          "title": "LeCode AI Coding Hub",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md"
        }
      ],
      "warnings": [
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 2
    },
    {
      "name": "External API · buy.stripe.com",
      "category": "API",
      "projects": [
        {
          "project": "goldi1",
          "title": "goldi1 — GoldShield Trading AI",
          "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md"
        },
        {
          "project": "MajorBotInterface-lecode",
          "title": "LeCode AI Coding Hub",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md"
        }
      ],
      "warnings": [
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 2
    },
    {
      "name": "External API · genitus-texas.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "MajorBotInterface-lecode",
          "title": "LeCode AI Coding Hub",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md"
        },
        {
          "project": "QuantumCalculator",
          "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
          "source": "0-REPLIT-MD-EXPORT/QuantumCalculator/replit.md"
        }
      ],
      "warnings": [
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 2
    },
    {
      "name": "External API · orbitron-os.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "games",
          "title": "ORBITRON - Neural Games Hub (games)",
          "source": "0-REPLIT-MD-EXPORT/games/replit.md"
        },
        {
          "project": "ORBITRON-OS",
          "title": "ORBITRON OS",
          "source": "0-REPLIT-MD-EXPORT/ORBITRON-OS/replit.md"
        }
      ],
      "warnings": [
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 2
    },
    {
      "name": "External API · api.mistral.ai",
      "category": "API",
      "projects": [
        {
          "project": "VocabMaster",
          "title": "AI Lingua - Language Learning Platform (VocabMaster)",
          "source": "0-REPLIT-MD-EXPORT/VocabMaster/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · bluehost-stack.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "bluehost-stack-catalog",
          "title": "bluehost-stack-catalog",
          "source": "0-REPLIT-MD-EXPORT/bluehost-stack-catalog/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · calendly.com",
      "category": "API",
      "projects": [
        {
          "project": "VAULTY",
          "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
          "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "External API · cdn.tailwindcss.com",
      "category": "API",
      "projects": [
        {
          "project": "quizDVAG",
          "title": "DVAG Lern- und Trainings-Simulator",
          "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung",
        "API-Vertrag nicht eindeutig dokumentiert"
      ],
      "project_count": 1
    },
    {
      "name": "External API · celestiaos.com",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · daniel-gereci.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "daniel",
          "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
          "source": "0-REPLIT-MD-EXPORT/daniel/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "External API · danielgereci.com",
      "category": "API",
      "projects": [
        {
          "project": "daniel",
          "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
          "source": "0-REPLIT-MD-EXPORT/daniel/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "External API · domus-aurea.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "quizDVAG",
          "title": "DVAG Lern- und Trainings-Simulator",
          "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung",
        "API-Vertrag nicht eindeutig dokumentiert"
      ],
      "project_count": 1
    },
    {
      "name": "External API · dvag-test.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "dvag-test",
          "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
          "source": "0-REPLIT-MD-EXPORT/dvag-test/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "External API · gemini-os.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "GEMINI-OS",
          "title": "GEMINI-OS // NEURAL-OS Agent Hub + EOD-Proxy Backend",
          "source": "0-REPLIT-MD-EXPORT/GEMINI-OS/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-agency.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-agents.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-claude.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-code-factory.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "MajorBotInterface-lecode",
          "title": "LeCode AI Coding Hub",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung",
        "API-Vertrag nicht eindeutig dokumentiert"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-coding.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-explorer.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-gaming.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-goldshield.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "MajorBotInterface",
          "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
          "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-lingua.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-office.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-trading.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-translation.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · genitus-travel.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "genitus-db-online",
          "title": "genitus-db-online — GENITUS File Management System",
          "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · history-ai.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "history",
          "title": "history — Geschichtsbibliotheken Projekt (100% Complete)",
          "source": "0-REPLIT-MD-EXPORT/history/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · lang-chain.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "LANG-CHAIN",
          "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
          "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "External API · le-watch.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "LeWATCH",
          "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
          "source": "0-REPLIT-MD-EXPORT/LeWATCH/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "External API · neural-portfolio.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "NEURAL-PORTFOLIO",
          "title": "NEURAL-PORTFOLIO // AI-Signal Portfolio Dashboard Suite",
          "source": "0-REPLIT-MD-EXPORT/NEURAL-PORTFOLIO/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · open-bb.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "openBB",
          "title": "openBB — OpenBB Terminal Proxy Platform",
          "source": "0-REPLIT-MD-EXPORT/openBB/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · raw.githubusercontent.com",
      "category": "API",
      "projects": [
        {
          "project": "anwalt",
          "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
          "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "External API · share.synthesia.io",
      "category": "API",
      "projects": [
        {
          "project": "daniel",
          "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
          "source": "0-REPLIT-MD-EXPORT/daniel/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "External API · sma-bot.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "ResponsiveCacheHandler",
          "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
          "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "External API · stock-sentinel-domusaureaopn.replit.app",
      "category": "API",
      "projects": [
        {
          "project": "LeWATCH",
          "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
          "source": "0-REPLIT-MD-EXPORT/LeWATCH/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "Google Charts",
      "category": "Visualization",
      "projects": [
        {
          "project": "AIInvestmentAnalyzer",
          "title": "AIInvestmentAnalyzer - LeDash AI Investment Dashboard",
          "source": "0-REPLIT-MD-EXPORT/AIInvestmentAnalyzer/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "OAuth",
      "category": "Auth",
      "projects": [
        {
          "project": "BoostBrain2",
          "title": "BoostBrain2 — Claude AI Chat Application",
          "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    },
    {
      "name": "Prisma",
      "category": "Database",
      "projects": [
        {
          "project": "CreditWall",
          "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
          "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet",
        "Möglicherweise hartkodierte Nutzung"
      ],
      "project_count": 1
    },
    {
      "name": "Replit Auth",
      "category": "Auth",
      "projects": [
        {
          "project": "AILanguageExplorer",
          "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
          "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md"
        }
      ],
      "warnings": [
        "Nur in einem Projekt verwendet"
      ],
      "project_count": 1
    }
  ],
  "readiness": [
    {
      "project": "quizDVAG",
      "title": "DVAG Lern- und Trainings-Simulator",
      "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md",
      "score": 88,
      "grade": "A",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Netlify",
        "Python",
        "Svelte",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite",
        "Vue"
      ],
      "risk_count": 0
    },
    {
      "project": "DABATCHFORREAL",
      "title": "BATCH PROCESSOR — Mistral Batch API Interface",
      "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md",
      "score": 84,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 90,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "JavaScript",
        "Python",
        "SQLite",
        "Tailwind CSS",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "RandomStockTrader",
      "title": "RandomStockTrader — Random Stock Analysis (Coin Toss Trading)",
      "source": "0-REPLIT-MD-EXPORT/RandomStockTrader/replit.md",
      "score": 82,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "Express",
        "JavaScript",
        "Python",
        "TypeScript"
      ],
      "risk_count": 0
    },
    {
      "project": "AiSketchCoder",
      "title": "AiSketchCoder — Drawing App with Code Generation",
      "source": "0-REPLIT-MD-EXPORT/AiSketchCoder/replit.md",
      "score": 78,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "JavaScript",
        "Node.js",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "BoostBrain2",
      "title": "BoostBrain2 — Claude AI Chat Application",
      "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md",
      "score": 78,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "JavaScript",
        "Node.js",
        "OAuth",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "genitus-db-online",
      "title": "genitus-db-online — GENITUS File Management System",
      "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md",
      "score": 78,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Clerk",
        "Drizzle",
        "Express",
        "JavaScript",
        "Node.js",
        "PostgreSQL",
        "React",
        "Supabase",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 1
    },
    {
      "project": "goldi1",
      "title": "goldi1 — GoldShield Trading AI",
      "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md",
      "score": 78,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JWT",
        "JavaScript",
        "PostgreSQL",
        "React",
        "Stripe",
        "TypeScript"
      ],
      "risk_count": 0
    },
    {
      "project": "Radio",
      "title": "Neural Streaming Platform (Radio)",
      "source": "0-REPLIT-MD-EXPORT/Radio/replit.md",
      "score": 78,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Cloudflare",
        "JavaScript",
        "Python",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "VAULTY",
      "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
      "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md",
      "score": 78,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "JavaScript",
        "Next.js",
        "React",
        "Svelte",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 1
    },
    {
      "project": "dvag-test",
      "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
      "source": "0-REPLIT-MD-EXPORT/dvag-test/replit.md",
      "score": 76,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Netlify",
        "Python",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "MajorBotInterface-lecode",
      "title": "LeCode AI Coding Hub",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md",
      "score": 76,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "PostgreSQL",
        "Python",
        "React",
        "Stripe",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "OFFICE-FREE",
      "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
      "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md",
      "score": 76,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Drizzle",
        "Express",
        "JavaScript",
        "Netlify",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "SalesSymphony",
      "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
      "source": "0-REPLIT-MD-EXPORT/SalesSymphony/replit.md",
      "score": 76,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "Node.js",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "summa",
      "title": "summa — Philosophia et Theologia Salutis",
      "source": "0-REPLIT-MD-EXPORT/summa/replit.md",
      "score": 76,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Netlify",
        "Vercel"
      ],
      "risk_count": 1
    },
    {
      "project": "CRYPTO-TANKSTELLE",
      "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md",
      "score": 74,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "JavaScript",
        "TypeScript"
      ],
      "risk_count": 2
    },
    {
      "project": "SymbolAnalyzer",
      "title": "SymbolAnalyzer — LEMOMENT API / NEURAL MATRIX Trading Tools",
      "source": "0-REPLIT-MD-EXPORT/SymbolAnalyzer/replit.md",
      "score": 74,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 90,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Python",
        "Redis"
      ],
      "risk_count": 0
    },
    {
      "project": "AIInvestmentAnalyzer",
      "title": "AIInvestmentAnalyzer - LeDash AI Investment Dashboard",
      "source": "0-REPLIT-MD-EXPORT/AIInvestmentAnalyzer/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "Express",
        "Google Charts",
        "JavaScript",
        "Node.js",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "CareerCrafter",
      "title": "Job Search Application (CareerCrafter)",
      "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Drizzle",
        "Express",
        "JavaScript",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "daBATCH-job-runde3",
      "title": "Corporate MVPs (daBATCH-job-runde3)",
      "source": "0-REPLIT-MD-EXPORT/daBATCH-job-runde3/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "JavaScript",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "DataScienceToolkit",
      "title": "DataScienceToolkit — Le Marché AI Trading Dashboard",
      "source": "0-REPLIT-MD-EXPORT/DataScienceToolkit/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "JavaScript",
        "Next.js",
        "Python",
        "TypeScript"
      ],
      "risk_count": 0
    },
    {
      "project": "FibonacciTrader",
      "title": "FibonacciTrader - FiboTrader Pro / Fibonacci-Based Trading Signals Platform",
      "source": "0-REPLIT-MD-EXPORT/FibonacciTrader/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Netlify",
        "Next.js",
        "Node.js",
        "React",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "generali",
      "title": "Generali - Versicherung & Investment Platform (generali)",
      "source": "0-REPLIT-MD-EXPORT/generali/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "JavaScript",
        "Next.js",
        "Python"
      ],
      "risk_count": 0
    },
    {
      "project": "Huashaltsbuch",
      "title": "DVAG Finance Application (Huashaltsbuch)",
      "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "JavaScript",
        "Node.js",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "NEURAL-TRADING-APPS",
      "title": "NEURAL Trading Apps — Genitus Finanz-Terminal-Sammlung",
      "source": "0-REPLIT-MD-EXPORT/NEURAL-TRADING-APPS/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "JavaScript",
        "Python"
      ],
      "risk_count": 0
    },
    {
      "project": "QuoteHunter",
      "title": "QuoteHunter - BetOdds Pro",
      "source": "0-REPLIT-MD-EXPORT/QuoteHunter/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 90,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Netlify",
        "Next.js",
        "Node.js",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "secureALL",
      "title": "secureALL — DVAG Beratungstrainer",
      "source": "0-REPLIT-MD-EXPORT/secureALL/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Tailwind CSS",
        "Vercel"
      ],
      "risk_count": 1
    },
    {
      "project": "StockComparator",
      "title": "StockComparator — Stock Analysis Chatbot / Professional Trading Analysis Platform",
      "source": "0-REPLIT-MD-EXPORT/StockComparator/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "StockSentinel",
      "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
      "source": "0-REPLIT-MD-EXPORT/StockSentinel/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Next.js",
        "Python"
      ],
      "risk_count": 0
    },
    {
      "project": "WeatherWhiz",
      "title": "Weather Dashboard Application (WeatherWhiz)",
      "source": "0-REPLIT-MD-EXPORT/WeatherWhiz/replit.md",
      "score": 73,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "Drizzle",
        "Express",
        "JavaScript",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "ChartStyler",
      "title": "ChartStyler — PeakValleyAI Stock Analysis",
      "source": "0-REPLIT-MD-EXPORT/ChartStyler/replit.md",
      "score": 72,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Python"
      ],
      "risk_count": 1
    },
    {
      "project": "CreditWall",
      "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
      "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md",
      "score": 72,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Next.js",
        "Node.js",
        "PostgreSQL",
        "Prisma",
        "Python",
        "React",
        "Stripe",
        "Supabase",
        "Svelte",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vue"
      ],
      "risk_count": 2
    },
    {
      "project": "deluxedatamanger",
      "title": "Admin Dashboard (deluxedatamanger)",
      "source": "0-REPLIT-MD-EXPORT/deluxedatamanger/replit.md",
      "score": 72,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "DVAGintranet",
      "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
      "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md",
      "score": 72,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "JavaScript",
        "Netlify",
        "Tailwind CSS",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "GAMMA-APP",
      "title": "Gamma Studio Engine",
      "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md",
      "score": 72,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "Redis",
        "SQLite",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "HealthAiCompanion",
      "title": "MedAssist - German Medical AI Assistant",
      "source": "0-REPLIT-MD-EXPORT/HealthAiCompanion/replit.md",
      "score": 72,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "Node.js",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "KI-DZ-Club",
      "title": "KI-Club - AI Workshops for Children",
      "source": "0-REPLIT-MD-EXPORT/KI-DZ-Club/replit.md",
      "score": 72,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Netlify",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "latein-bibiothek",
      "title": "latein-bibiothek — Lingua Latina Nova",
      "source": "0-REPLIT-MD-EXPORT/latein-bibiothek/replit.md",
      "score": 72,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Netlify",
        "Python",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "schach-meisger",
      "title": "Orbitron Chess / Deep Orbitron Chess Tutor (schach-meisger)",
      "source": "0-REPLIT-MD-EXPORT/schach-meisger/replit.md",
      "score": 72,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "SQLite"
      ],
      "risk_count": 0
    },
    {
      "project": "1agames",
      "title": "1agames — NEURAL Games Collection",
      "source": "0-REPLIT-MD-EXPORT/1agames/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "agency",
      "title": "Genitus Inc. - AI Agency Website (agency)",
      "source": "0-REPLIT-MD-EXPORT/agency/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Python",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "aldi",
      "title": "aldi — ALDI MEGA-PLATTFORM Project",
      "source": "0-REPLIT-MD-EXPORT/aldi/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Chart.js",
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "bluehost-export",
      "title": "bluehost-export (GoldShield AI - Premium Financial Intelligence)",
      "source": "0-REPLIT-MD-EXPORT/bluehost-export/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "DeepDiveResearcher",
      "title": "DeepDiveResearcher — Deep Research Bot",
      "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "JavaScript",
        "Netlify",
        "Next.js",
        "Node.js",
        "PostgreSQL",
        "React",
        "Supabase",
        "Svelte",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "genrali2",
      "title": "Generali Insurance & Investment Tools (genrali2)",
      "source": "0-REPLIT-MD-EXPORT/genrali2/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "history",
      "title": "history — Geschichtsbibliotheken Projekt (100% Complete)",
      "source": "0-REPLIT-MD-EXPORT/history/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "kath-ki",
      "title": "Katholisch-KI (kath-ki)",
      "source": "0-REPLIT-MD-EXPORT/kath-ki/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "LeRAG",
      "title": "LeRAG — Genitus AI Chatbot (RAG)",
      "source": "0-REPLIT-MD-EXPORT/LeRAG/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "SQLite",
        "Vue"
      ],
      "risk_count": 0
    },
    {
      "project": "mcp-server",
      "title": "GENITUS MCP Hub + Web Claude Code (mcp-server)",
      "source": "0-REPLIT-MD-EXPORT/mcp-server/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Node.js"
      ],
      "risk_count": 0
    },
    {
      "project": "ORBITRON-OS",
      "title": "ORBITRON OS",
      "source": "0-REPLIT-MD-EXPORT/ORBITRON-OS/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "QuantumCalculator",
      "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
      "source": "0-REPLIT-MD-EXPORT/QuantumCalculator/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "JavaScript",
        "Node.js",
        "PostgreSQL",
        "Python",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "StockSentinel (1)",
      "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
      "source": "0-REPLIT-MD-EXPORT/StockSentinel (1)/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Python",
        "React"
      ],
      "risk_count": 0
    },
    {
      "project": "TENSOR-FLOW",
      "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
      "source": "0-REPLIT-MD-EXPORT/TENSOR-FLOW/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Lightweight Charts",
        "Next.js",
        "Node.js",
        "PostgreSQL",
        "Python",
        "Supabase",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "VEKTOR-NEWS",
      "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
      "source": "0-REPLIT-MD-EXPORT/VEKTOR-NEWS/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Drizzle",
        "Express",
        "Node.js",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript"
      ],
      "risk_count": 0
    },
    {
      "project": "WebSiteEnhancer1211",
      "title": "AI Website Generator (WebGen Pro)",
      "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md",
      "score": 71,
      "grade": "B",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Cloudflare",
        "Express",
        "JavaScript",
        "Netlify",
        "Next.js",
        "Node.js",
        "Tailwind CSS",
        "Vercel"
      ],
      "risk_count": 5
    },
    {
      "project": "html-export",
      "title": "html-export — Katholisch-KI Plattform (Quantum Spiritual OS)",
      "source": "0-REPLIT-MD-EXPORT/html-export/replit.md",
      "score": 69,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "kostolany",
      "title": "kostolany — Book/Cover Publishing Workspace",
      "source": "0-REPLIT-MD-EXPORT/kostolany/replit.md",
      "score": 69,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "Legal-TECH",
      "title": "Legal-TECH — ORBITRON LEGALTECH",
      "source": "0-REPLIT-MD-EXPORT/Legal-TECH/replit.md",
      "score": 69,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Node.js"
      ],
      "risk_count": 0
    },
    {
      "project": "ORBITRON-BROTHERS-archiv-20260806-a",
      "title": "ORBITRON-BROTHERS (Archiv)",
      "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS-archiv-20260806-a/replit.md",
      "score": 69,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 78,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "WikiIMAGE-1imgur",
      "title": "WikiIMAGE-1imgur — KI-Enzyklopaedie-Generator (Wikipedia-Style)",
      "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1imgur/replit.md",
      "score": 69,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "JavaScript",
        "Next.js",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "openBB",
      "title": "openBB — OpenBB Terminal Proxy Platform",
      "source": "0-REPLIT-MD-EXPORT/openBB/replit.md",
      "score": 68,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 55,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Python",
        "React",
        "Stripe",
        "Vite"
      ],
      "risk_count": 1
    },
    {
      "project": "0-VOLUMEN",
      "title": "0-VOLUMEN — Quant Trading Suite",
      "source": "0-REPLIT-MD-EXPORT/0-VOLUMEN/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "ANGELUS",
      "title": "ANGELUS · Neural Liturgical Bell",
      "source": "0-REPLIT-MD-EXPORT/ANGELUS/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Python",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "Auction-Option",
      "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
      "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "BLUEHOST",
      "title": "BLUEHOST — domusaurea.tech Archiv-Export",
      "source": "0-REPLIT-MD-EXPORT/BLUEHOST/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 1
    },
    {
      "project": "CPlusPlus",
      "title": "NEXUS Command — RTS",
      "source": "0-REPLIT-MD-EXPORT/CPlusPlus/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Node.js",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "daniel",
      "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
      "source": "0-REPLIT-MD-EXPORT/daniel/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Netlify",
        "Next.js",
        "React",
        "Svelte",
        "Tailwind CSS",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "DVAG-LEMIX",
      "title": "DVAG-LEMIX — DVAG Financial Calculator Tools",
      "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Chart.js",
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "gptKEYserver",
      "title": "Secret Vault Server (gptKEYserver)",
      "source": "0-REPLIT-MD-EXPORT/gptKEYserver/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Express",
        "JavaScript",
        "Node.js",
        "Stripe"
      ],
      "risk_count": 0
    },
    {
      "project": "HEIKIN-ASHI-1",
      "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
      "source": "0-REPLIT-MD-EXPORT/HEIKIN-ASHI-1/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "JavaScript",
        "Lightweight Charts",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "joojo",
      "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
      "source": "0-REPLIT-MD-EXPORT/joojo/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "Nice-Watchliste",
      "title": "GENITUS Watchlist Hub (Nice-Watchliste)",
      "source": "0-REPLIT-MD-EXPORT/Nice-Watchliste/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "VocabMaster",
      "title": "AI Lingua - Language Learning Platform (VocabMaster)",
      "source": "0-REPLIT-MD-EXPORT/VocabMaster/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "JavaScript",
        "Python"
      ],
      "risk_count": 0
    },
    {
      "project": "WebSiteEnhancer",
      "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
      "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer/replit.md",
      "score": 67,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Express",
        "JavaScript",
        "Node.js",
        "Tailwind CSS",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "AIBondIntelligence",
      "title": "AIBondIntelligence — Genitus Inc. AI/Crypto Bonds Platform",
      "source": "0-REPLIT-MD-EXPORT/AIBondIntelligence/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Netlify",
        "Node.js",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "anwalt",
      "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
      "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Cloudflare",
        "JavaScript",
        "Netlify",
        "Next.js",
        "Node.js",
        "Python",
        "Vercel"
      ],
      "risk_count": 1
    },
    {
      "project": "AutoGenerationPro",
      "title": "AutoBotHub",
      "source": "0-REPLIT-MD-EXPORT/AutoGenerationPro/replit.md",
      "score": 66,
      "grade": "C",
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Drizzle",
        "Express",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "CryptoTraderPro",
      "title": "CryptoTraderPro — FinTech Startup EOD Proxy",
      "source": "0-REPLIT-MD-EXPORT/CryptoTraderPro/replit.md",
      "score": 66,
      "grade": "C",
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        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "DaBATCH-JOB",
      "title": "Corporate App Gallery — Premium HTML5 Solutions",
      "source": "0-REPLIT-MD-EXPORT/DaBATCH-JOB/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "Cloudflare",
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "DiabetesGuardian",
      "title": "Emergency & Diabetes Care Bot - LifeSaver",
      "source": "0-REPLIT-MD-EXPORT/DiabetesGuardian/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "ebookdvga",
      "title": "DVAG Investment Strategies for Beginners (ebookdvga)",
      "source": "0-REPLIT-MD-EXPORT/ebookdvga/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Netlify",
        "Python",
        "Tailwind CSS",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "ForexAnalyticsDashboard",
      "title": "Forex Analytics Dashboard",
      "source": "0-REPLIT-MD-EXPORT/ForexAnalyticsDashboard/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "GEMINI-OS",
      "title": "GEMINI-OS // NEURAL-OS Agent Hub + EOD-Proxy Backend",
      "source": "0-REPLIT-MD-EXPORT/GEMINI-OS/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "Express",
        "JavaScript",
        "Lightweight Charts",
        "Next.js",
        "Node.js",
        "React",
        "Stripe",
        "TypeScript"
      ],
      "risk_count": 0
    },
    {
      "project": "GenitusBroker",
      "title": "Genitus Inc. - Realtime AI Robo Advisor",
      "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Node.js",
        "Python",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "GlobalNewsCentral",
      "title": "GlobalNewsCentral — NEWSFLOW.AI",
      "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Drizzle",
        "Express",
        "JavaScript",
        "Next.js",
        "Node.js",
        "PostgreSQL",
        "React",
        "Supabase",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "GoldshieldTracker",
      "title": "Goldshield AI - Stock Tracker",
      "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Chart.js",
        "JavaScript",
        "Python",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "IntraTradeAnalyzer-1",
      "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
      "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Drizzle",
        "Express",
        "JavaScript",
        "Node.js",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 1
    },
    {
      "project": "LANG-CHAIN",
      "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
      "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Node.js",
        "Python",
        "React",
        "Vue"
      ],
      "risk_count": 2
    },
    {
      "project": "LeMarche-PWA-Export",
      "title": "Le Marché PWA Export",
      "source": "0-REPLIT-MD-EXPORT/LeMarche-PWA-Export/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "JWT",
        "JavaScript",
        "React",
        "Stripe"
      ],
      "risk_count": 1
    },
    {
      "project": "MajorBotInterface-lemarche",
      "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lemarche/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "JavaScript",
        "Node.js",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "ML-Predictin",
      "title": "L'ALGO NEURAL — ML Trading & Macro Intelligence",
      "source": "0-REPLIT-MD-EXPORT/ML-Predictin/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Lightweight Charts",
        "Node.js",
        "SQLite"
      ],
      "risk_count": 0
    },
    {
      "project": "ModernCoder",
      "title": "Python IDE (ModernCoder)",
      "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "JavaScript",
        "Node.js",
        "PostgreSQL",
        "Python",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 1
    },
    {
      "project": "MOURINHO",
      "title": "MOURINHO — Football Academy Pro / SFD '75",
      "source": "0-REPLIT-MD-EXPORT/MOURINHO/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Chart.js",
        "JavaScript",
        "Netlify",
        "Python",
        "Tailwind CSS",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "OPEN-SEARCH",
      "title": "VectorSearch Library (OPEN-SEARCH)",
      "source": "0-REPLIT-MD-EXPORT/OPEN-SEARCH/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Python",
        "React",
        "Svelte"
      ],
      "risk_count": 0
    },
    {
      "project": "SlideSwapViewer",
      "title": "Orderbook AI (SlideSwapViewer)",
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      "grade": "C",
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "JavaScript",
        "Python",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "TravelMate",
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      "dimensions": [
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          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "TrendPulse",
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      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "tts-batch",
      "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
      "source": "0-REPLIT-MD-EXPORT/tts-batch/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "JavaScript",
        "Node.js",
        "PostgreSQL",
        "React",
        "Redis",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "WebinarAiAssistant",
      "title": "Webinar Chat Application (WebinarAiAssistant)",
      "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Drizzle",
        "Express",
        "Node.js",
        "PostgreSQL",
        "React",
        "Supabase",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "XTRACKERS",
      "title": "XTRACKERS — Xtrackers by DWS: Bloomberg Terminal Dashboard",
      "source": "0-REPLIT-MD-EXPORT/XTRACKERS/replit.md",
      "score": 66,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "JavaScript",
        "Lightweight Charts",
        "Netlify",
        "Next.js",
        "Python",
        "React",
        "Tailwind CSS",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "CRYPTO-TANKSTELLE-archiv-20260715",
      "title": "CRYPTO-TANKSTELLE (archivierte Version, Stand 2026-07-15)",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260715/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [],
      "risk_count": 1
    },
    {
      "project": "cumex",
      "title": "Cum-Ex & Cum-Cum Educational Guide (cumex)",
      "source": "0-REPLIT-MD-EXPORT/cumex/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "deepresearch",
      "title": "Deep Research Bibliothek (deepresearch)",
      "source": "0-REPLIT-MD-EXPORT/deepresearch/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap"
      ],
      "risk_count": 0
    },
    {
      "project": "dvao-os-1",
      "title": "DVAG OS 1.1 - Financial Advisor Portal (dvao-os-1)",
      "source": "0-REPLIT-MD-EXPORT/dvao-os-1/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "React"
      ],
      "risk_count": 0
    },
    {
      "project": "famer-und-jager",
      "title": "famer-und-jager — German Financial Education Ebook Library + HAUSMAISTER Saga",
      "source": "0-REPLIT-MD-EXPORT/famer-und-jager/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Python",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "FUNandPROFIT",
      "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
      "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Netlify",
        "Python",
        "Tailwind CSS",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "games",
      "title": "ORBITRON - Neural Games Hub (games)",
      "source": "0-REPLIT-MD-EXPORT/games/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "genitormatrix",
      "title": "genitormatrix — CODE GENITOR: Theological Science Fiction Trilogy",
      "source": "0-REPLIT-MD-EXPORT/genitormatrix/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "genitusorg",
      "title": "Genitus Inc. - AI Software Factory (genitusorg)",
      "source": "0-REPLIT-MD-EXPORT/genitusorg/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [],
      "risk_count": 0
    },
    {
      "project": "GenitusTrade",
      "title": "Genitus Inc. - Trading Platform",
      "source": "0-REPLIT-MD-EXPORT/GenitusTrade/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "JavaScript",
        "Svelte",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "GLOBALFINTECH",
      "title": "GoldShield AI - Premium Financial Intelligence (GLOBALFINTECH)",
      "source": "0-REPLIT-MD-EXPORT/GLOBALFINTECH/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "HTML-BACKUP",
      "title": "HTML-BACKUP — Vulgata Chronica Bibel-Galerie & Kreuzweg",
      "source": "0-REPLIT-MD-EXPORT/HTML-BACKUP/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "JavaScript",
        "Netlify"
      ],
      "risk_count": 0
    },
    {
      "project": "INDEX-CONTROL",
      "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
      "source": "0-REPLIT-MD-EXPORT/INDEX-CONTROL/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 2
    },
    {
      "project": "LeadHarvester",
      "title": "Lead Extraction Tool (LeadHarvester)",
      "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Cloudflare",
        "Python",
        "React",
        "Tailwind CSS",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "liturgie-1",
      "title": "Liturgisches Archiv (liturgie-1)",
      "source": "0-REPLIT-MD-EXPORT/liturgie-1/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "MINDSTAR",
      "title": "MINDSTAR // CODEBREAKER ULTIMATE",
      "source": "0-REPLIT-MD-EXPORT/MINDSTAR/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Express",
        "JavaScript",
        "Netlify",
        "Node.js",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "ORBITRON-BROTHERS",
      "title": "Orbitron Desktop PWA (ORBITRON-BROTHERS)",
      "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Tailwind CSS",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "pwa-history",
      "title": "pwa-history — Bibliotheken Hub (installierbare PWA)",
      "source": "0-REPLIT-MD-EXPORT/pwa-history/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "ROSENKRANZ",
      "title": "Der Heilige Rosenkranz — Bildgebetnis",
      "source": "0-REPLIT-MD-EXPORT/ROSENKRANZ/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "samsung-made",
      "title": "Samsung-made Index Organizer (samsung-made)",
      "source": "0-REPLIT-MD-EXPORT/samsung-made/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "SPIELESAMMLUNG",
      "title": "NEURAL GAMES HUB (SPIELESAMMLUNG)",
      "source": "0-REPLIT-MD-EXPORT/SPIELESAMMLUNG/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "STOCK-HTML5-REPORTS",
      "title": "STOCK-HTML5-REPORTS - Curated HTML5 Research Reports",
      "source": "0-REPLIT-MD-EXPORT/STOCK-HTML5-REPORTS/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Python"
      ],
      "risk_count": 0
    },
    {
      "project": "STOCK-SLIDES-TEMPLATES",
      "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
      "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Python"
      ],
      "risk_count": 4
    },
    {
      "project": "truthmap",
      "title": "Map Projections: Theory, History, and Accuracy (truthmap)",
      "source": "0-REPLIT-MD-EXPORT/truthmap/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Python",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "VisualDesignSystem",
      "title": "VisualDesignSystem — Le Marché AI (Landingpage fuer die Genitus-Trading-App-Suite)",
      "source": "0-REPLIT-MD-EXPORT/VisualDesignSystem/replit.md",
      "score": 64,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Python"
      ],
      "risk_count": 1
    },
    {
      "project": "StockGptIntelligence",
      "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
      "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md",
      "score": 62,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 20,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "Drizzle",
        "Express",
        "JavaScript",
        "Next.js",
        "Node.js",
        "PostgreSQL",
        "React",
        "Supabase",
        "Svelte",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 1
    },
    {
      "project": "AILanguageExplorer",
      "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
      "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Clerk",
        "Drizzle",
        "Express",
        "JavaScript",
        "Node.js",
        "PostgreSQL",
        "React",
        "Replit Auth",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "bluehost-stack-catalog",
      "title": "bluehost-stack-catalog",
      "source": "0-REPLIT-MD-EXPORT/bluehost-stack-catalog/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Python"
      ],
      "risk_count": 0
    },
    {
      "project": "BrokerBuddy",
      "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
      "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Cloudflare",
        "Express",
        "JavaScript",
        "Lightweight Charts",
        "Node.js",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "claude code export",
      "title": "claude code export — Aktien / Börse / Trading Sammlung",
      "source": "0-REPLIT-MD-EXPORT/claude code export/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "CLAUDE-PWA",
      "title": "CLAUDE-PWA — Neutral PWA Master Template",
      "source": "0-REPLIT-MD-EXPORT/CLAUDE-PWA/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Node.js",
        "TypeScript"
      ],
      "risk_count": 0
    },
    {
      "project": "dacasestudy",
      "title": "dacasestudy — KI Power Index (KIP) Final Report 2025",
      "source": "0-REPLIT-MD-EXPORT/dacasestudy/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "DenariusFinance",
      "title": "Genitus Inc - Denarius | Financial Analytics Dashboard",
      "source": "0-REPLIT-MD-EXPORT/DenariusFinance/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "Fintech",
      "title": "Fintech - Sammlung statischer Trading/Fintech-Tools",
      "source": "0-REPLIT-MD-EXPORT/Fintech/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "free-programming-books-main",
      "title": "free-programming-books-main",
      "source": "0-REPLIT-MD-EXPORT/free-programming-books-main/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 71,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 65,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [],
      "risk_count": 0
    },
    {
      "project": "GoldShieldTrading",
      "title": "GoldShield AI Trading (Genitus Inc.)",
      "source": "0-REPLIT-MD-EXPORT/GoldShieldTrading/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "KORRES",
      "title": "KORRES — FrançaisPro AI-Powered French Learning Application",
      "source": "0-REPLIT-MD-EXPORT/KORRES/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "JavaScript",
        "Stripe",
        "Tailwind CSS",
        "TypeScript"
      ],
      "risk_count": 0
    },
    {
      "project": "LeadHarvester (1)",
      "title": "Lead Extraction Tool (LeadHarvester)",
      "source": "0-REPLIT-MD-EXPORT/LeadHarvester (1)/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 45,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 90,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "JavaScript",
        "Python",
        "SQLite",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "LeWATCH",
      "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
      "source": "0-REPLIT-MD-EXPORT/LeWATCH/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "JavaScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "MARKOV-TRADING",
      "title": "MARKOV-TRADING // Markov Stack — Trend Rider & Gambling Suite",
      "source": "0-REPLIT-MD-EXPORT/MARKOV-TRADING/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "NACHHILFE",
      "title": "NACHHILFE — Sprachgrammatik- & Formel-Bibliothek",
      "source": "0-REPLIT-MD-EXPORT/NACHHILFE/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "NEURAL-PORTFOLIO",
      "title": "NEURAL-PORTFOLIO // AI-Signal Portfolio Dashboard Suite",
      "source": "0-REPLIT-MD-EXPORT/NEURAL-PORTFOLIO/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "React",
        "Vite",
        "Vue"
      ],
      "risk_count": 0
    },
    {
      "project": "orbitron-maps",
      "title": "orbitron-maps — Ultimate Guide: Reiseführer, Karten & Weltraum-Tools",
      "source": "0-REPLIT-MD-EXPORT/orbitron-maps/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Next.js"
      ],
      "risk_count": 1
    },
    {
      "project": "PerplexityMaster",
      "title": "PerplexityMaster (Perplexity Matrix)",
      "source": "0-REPLIT-MD-EXPORT/PerplexityMaster/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "powerSLIDES",
      "title": "DVAG Sales Script - Corporate Level (powerSLIDES)",
      "source": "0-REPLIT-MD-EXPORT/powerSLIDES/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Node.js",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "ResponsiveCacheHandler",
      "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
      "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Chart.js",
        "Cloudflare",
        "JavaScript",
        "Lightweight Charts",
        "Python",
        "Supabase",
        "Vercel"
      ],
      "risk_count": 0
    },
    {
      "project": "TraderDashboard",
      "title": "Genitus Trading Dashboard (TraderDashboard)",
      "source": "0-REPLIT-MD-EXPORT/TraderDashboard/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "VOLUMEN-TRADING",
      "title": "0-VOLUMEN — Quant Trading Suite (VOLUMEN-TRADING)",
      "source": "0-REPLIT-MD-EXPORT/VOLUMEN-TRADING/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "Tailwind CSS"
      ],
      "risk_count": 0
    },
    {
      "project": "WikiIMAGE-1",
      "title": "Wikipedia-Style Article Generator (WikiIMAGE-1)",
      "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1/replit.md",
      "score": 61,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Drizzle",
        "Express",
        "PostgreSQL",
        "React",
        "Tailwind CSS",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 0
    },
    {
      "project": "DVAGlanding",
      "title": "DVAG FinanzExpert - AI-Powered Financial Advisory System",
      "source": "0-REPLIT-MD-EXPORT/DVAGlanding/replit.md",
      "score": 58,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 85,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 20,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "JavaScript",
        "React",
        "Tailwind CSS"
      ],
      "risk_count": 1
    },
    {
      "project": "MajorBotInterface",
      "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md",
      "score": 58,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 20,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 90,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Cloudflare",
        "Express",
        "JavaScript",
        "Next.js",
        "Node.js",
        "React",
        "Svelte",
        "Tailwind CSS",
        "TypeScript",
        "Vercel",
        "Vite"
      ],
      "risk_count": 1
    },
    {
      "project": "MarketAnalyzer",
      "title": "MarketAnalyzer - EXECUTED ORDERBOOK AI",
      "source": "0-REPLIT-MD-EXPORT/MarketAnalyzer/replit.md",
      "score": 57,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 90,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 20,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 85,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Bootstrap",
        "Express",
        "JavaScript",
        "Node.js",
        "React",
        "TypeScript",
        "Vite"
      ],
      "risk_count": 1
    },
    {
      "project": "goldi1-archiv-20260622-a",
      "title": "goldi1 (archivierte Version, Stand 2026-06-22)",
      "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260622-a/replit.md",
      "score": 56,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 100,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 45,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JWT",
        "React",
        "Stripe"
      ],
      "risk_count": 0
    },
    {
      "project": "CRYPTO-TANKSTELLE-archiv-20260714",
      "title": "GENITUS // Quantum Crypto Orbitron (Archiv-Vorgängerversion)",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260714/replit.md",
      "score": 55,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 96,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 45,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Chart.js",
        "JavaScript"
      ],
      "risk_count": 0
    },
    {
      "project": "goldi1-archiv-20260608",
      "title": "GoldShield Trading AI (Archiv)",
      "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260608/replit.md",
      "score": 53,
      "grade": "C",
      "dimensions": [
        {
          "name": "Dokumentation",
          "score": 78,
          "evidence": "Überschriften und Textumfang"
        },
        {
          "name": "Buildbarkeit",
          "score": 45,
          "evidence": "Build-/Run-Begriffe im Dokument"
        },
        {
          "name": "Tests",
          "score": 25,
          "evidence": "Testbegriffe oder Testwerkzeuge"
        },
        {
          "name": "Deployment",
          "score": 90,
          "evidence": "Deployment-/Production-Hinweise"
        },
        {
          "name": "Secrets",
          "score": 100,
          "evidence": "Automatischer Secret-/Risikoscan"
        },
        {
          "name": "Fehlerbehandlung",
          "score": 35,
          "evidence": "Fehler- und Fallback-Begriffe"
        },
        {
          "name": "Accessibility",
          "score": 30,
          "evidence": "Accessibility-Hinweise"
        },
        {
          "name": "Datenbankklarheit",
          "score": 45,
          "evidence": "Explizite Datenbank- oder No-DB-Aussage"
        },
        {
          "name": "API-Dokumentation",
          "score": 30,
          "evidence": "API-/Endpoint-Abschnitt"
        }
      ],
      "tech": [
        "Express",
        "JWT",
        "JavaScript",
        "PostgreSQL",
        "React",
        "Stripe",
        "TypeScript"
      ],
      "risk_count": 0
    }
  ],
  "rebuildability": [
    {
      "project": "VAULTY",
      "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
      "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md",
      "score": 95,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "11 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 11,
      "security_count": 1
    },
    {
      "project": "quizDVAG",
      "title": "DVAG Lern- und Trainings-Simulator",
      "source": "0-REPLIT-MD-EXPORT/quizDVAG/replit.md",
      "score": 92,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 83,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 97,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "11 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 11,
      "security_count": 0
    },
    {
      "project": "CreditWall",
      "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
      "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md",
      "score": 91,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "15 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 15,
      "security_count": 2
    },
    {
      "project": "DVAGintranet",
      "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
      "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md",
      "score": 91,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "DataScienceToolkit",
      "title": "DataScienceToolkit — Le Marché AI Trading Dashboard",
      "source": "0-REPLIT-MD-EXPORT/DataScienceToolkit/replit.md",
      "score": 88,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 85,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "GAMMA-APP",
      "title": "Gamma Studio Engine",
      "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md",
      "score": 88,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "genitus-db-online",
      "title": "genitus-db-online — GENITUS File Management System",
      "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md",
      "score": 88,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "24 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 24,
      "security_count": 1
    },
    {
      "project": "goldi1",
      "title": "goldi1 — GoldShield Trading AI",
      "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md",
      "score": 88,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 97,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "AIInvestmentAnalyzer",
      "title": "AIInvestmentAnalyzer - LeDash AI Investment Dashboard",
      "source": "0-REPLIT-MD-EXPORT/AIInvestmentAnalyzer/replit.md",
      "score": 86,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "10 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 10,
      "security_count": 0
    },
    {
      "project": "MajorBotInterface-lemarche",
      "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lemarche/replit.md",
      "score": 86,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 0
    },
    {
      "project": "OFFICE-FREE",
      "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
      "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md",
      "score": 86,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 97,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "12 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 12,
      "security_count": 0
    },
    {
      "project": "CPlusPlus",
      "title": "NEXUS Command — RTS",
      "source": "0-REPLIT-MD-EXPORT/CPlusPlus/replit.md",
      "score": 85,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "4 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 4,
      "security_count": 0
    },
    {
      "project": "daBATCH-job-runde3",
      "title": "Corporate MVPs (daBATCH-job-runde3)",
      "source": "0-REPLIT-MD-EXPORT/daBATCH-job-runde3/replit.md",
      "score": 85,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "Huashaltsbuch",
      "title": "DVAG Finance Application (Huashaltsbuch)",
      "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md",
      "score": 85,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 0
    },
    {
      "project": "ModernCoder",
      "title": "Python IDE (ModernCoder)",
      "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md",
      "score": 85,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 98,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "10 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 10,
      "security_count": 1
    },
    {
      "project": "RandomStockTrader",
      "title": "RandomStockTrader — Random Stock Analysis (Coin Toss Trading)",
      "source": "0-REPLIT-MD-EXPORT/RandomStockTrader/replit.md",
      "score": 85,
      "grade": "A",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 92,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 83,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "DeepDiveResearcher",
      "title": "DeepDiveResearcher — Deep Research Bot",
      "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md",
      "score": 84,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "14 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 14,
      "security_count": 0
    },
    {
      "project": "dvag-test",
      "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
      "source": "0-REPLIT-MD-EXPORT/dvag-test/replit.md",
      "score": 84,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 95,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "MajorBotInterface-lecode",
      "title": "LeCode AI Coding Hub",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lecode/replit.md",
      "score": 84,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 99,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 95,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "14 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 14,
      "security_count": 0
    },
    {
      "project": "deluxedatamanger",
      "title": "Admin Dashboard (deluxedatamanger)",
      "source": "0-REPLIT-MD-EXPORT/deluxedatamanger/replit.md",
      "score": 83,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 94,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "7 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 7,
      "security_count": 0
    },
    {
      "project": "mcp-server",
      "title": "GENITUS MCP Hub + Web Claude Code (mcp-server)",
      "source": "0-REPLIT-MD-EXPORT/mcp-server/replit.md",
      "score": 83,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 91,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 83,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 97,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "openBB",
      "title": "openBB — OpenBB Terminal Proxy Platform",
      "source": "0-REPLIT-MD-EXPORT/openBB/replit.md",
      "score": 83,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 97,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 82,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 1
    },
    {
      "project": "gptKEYserver",
      "title": "Secret Vault Server (gptKEYserver)",
      "source": "0-REPLIT-MD-EXPORT/gptKEYserver/replit.md",
      "score": 82,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 98,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 74,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "MARKOV-TRADING",
      "title": "MARKOV-TRADING // Markov Stack — Trend Rider & Gambling Suite",
      "source": "0-REPLIT-MD-EXPORT/MARKOV-TRADING/replit.md",
      "score": 82,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "NEURAL-PORTFOLIO",
      "title": "NEURAL-PORTFOLIO // AI-Signal Portfolio Dashboard Suite",
      "source": "0-REPLIT-MD-EXPORT/NEURAL-PORTFOLIO/replit.md",
      "score": 82,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "NEURAL-TRADING-APPS",
      "title": "NEURAL Trading Apps — Genitus Finanz-Terminal-Sammlung",
      "source": "0-REPLIT-MD-EXPORT/NEURAL-TRADING-APPS/replit.md",
      "score": 82,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "STOCK-SLIDES-TEMPLATES",
      "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
      "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md",
      "score": 82,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 97,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 4
    },
    {
      "project": "Auction-Option",
      "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
      "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md",
      "score": 81,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "BoostBrain2",
      "title": "BoostBrain2 — Claude AI Chat Application",
      "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md",
      "score": 81,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 97,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "11 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 11,
      "security_count": 0
    },
    {
      "project": "daniel",
      "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
      "source": "0-REPLIT-MD-EXPORT/daniel/replit.md",
      "score": 81,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "11 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 11,
      "security_count": 0
    },
    {
      "project": "TraderDashboard",
      "title": "Genitus Trading Dashboard (TraderDashboard)",
      "source": "0-REPLIT-MD-EXPORT/TraderDashboard/replit.md",
      "score": 81,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 96,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "7 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 7,
      "security_count": 0
    },
    {
      "project": "CLAUDE-PWA",
      "title": "CLAUDE-PWA — Neutral PWA Master Template",
      "source": "0-REPLIT-MD-EXPORT/CLAUDE-PWA/replit.md",
      "score": 80,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "GEMINI-OS",
      "title": "GEMINI-OS // NEURAL-OS Agent Hub + EOD-Proxy Backend",
      "source": "0-REPLIT-MD-EXPORT/GEMINI-OS/replit.md",
      "score": 80,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "10 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 10,
      "security_count": 0
    },
    {
      "project": "GoldshieldTracker",
      "title": "Goldshield AI - Stock Tracker",
      "source": "0-REPLIT-MD-EXPORT/GoldshieldTracker/replit.md",
      "score": 80,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 99,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "LeRAG",
      "title": "LeRAG — Genitus AI Chatbot (RAG)",
      "source": "0-REPLIT-MD-EXPORT/LeRAG/replit.md",
      "score": 80,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 93,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "4 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 4,
      "security_count": 0
    },
    {
      "project": "VocabMaster",
      "title": "AI Lingua - Language Learning Platform (VocabMaster)",
      "source": "0-REPLIT-MD-EXPORT/VocabMaster/replit.md",
      "score": 80,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "4 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 4,
      "security_count": 0
    },
    {
      "project": "VOLUMEN-TRADING",
      "title": "0-VOLUMEN — Quant Trading Suite (VOLUMEN-TRADING)",
      "source": "0-REPLIT-MD-EXPORT/VOLUMEN-TRADING/replit.md",
      "score": 80,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "WikiIMAGE-1imgur",
      "title": "WikiIMAGE-1imgur — KI-Enzyklopaedie-Generator (Wikipedia-Style)",
      "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1imgur/replit.md",
      "score": 80,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 99,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 0
    },
    {
      "project": "GlobalNewsCentral",
      "title": "GlobalNewsCentral — NEWSFLOW.AI",
      "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md",
      "score": 79,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "11 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 11,
      "security_count": 0
    },
    {
      "project": "WebSiteEnhancer",
      "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
      "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer/replit.md",
      "score": 79,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 92,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "CRYPTO-TANKSTELLE",
      "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md",
      "score": 78,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 2
    },
    {
      "project": "DVAGlanding",
      "title": "DVAG FinanzExpert - AI-Powered Financial Advisory System",
      "source": "0-REPLIT-MD-EXPORT/DVAGlanding/replit.md",
      "score": 78,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 73,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "1 kritische Security-Fundstelle(n) vor dem Rebuild klären."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 1
    },
    {
      "project": "FibonacciTrader",
      "title": "FibonacciTrader - FiboTrader Pro / Fibonacci-Based Trading Signals Platform",
      "source": "0-REPLIT-MD-EXPORT/FibonacciTrader/replit.md",
      "score": 78,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 0
    },
    {
      "project": "generali",
      "title": "Generali - Versicherung & Investment Platform (generali)",
      "source": "0-REPLIT-MD-EXPORT/generali/replit.md",
      "score": 78,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 99,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "4 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 4,
      "security_count": 0
    },
    {
      "project": "ORBITRON-BROTHERS",
      "title": "Orbitron Desktop PWA (ORBITRON-BROTHERS)",
      "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS/replit.md",
      "score": 78,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 97,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "SalesSymphony",
      "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
      "source": "0-REPLIT-MD-EXPORT/SalesSymphony/replit.md",
      "score": 78,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 0
    },
    {
      "project": "StockComparator",
      "title": "StockComparator — Stock Analysis Chatbot / Professional Trading Analysis Platform",
      "source": "0-REPLIT-MD-EXPORT/StockComparator/replit.md",
      "score": 78,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "7 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 7,
      "security_count": 0
    },
    {
      "project": "StockSentinel",
      "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
      "source": "0-REPLIT-MD-EXPORT/StockSentinel/replit.md",
      "score": 78,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "ORBITRON-BROTHERS-archiv-20260806-a",
      "title": "ORBITRON-BROTHERS (Archiv)",
      "source": "0-REPLIT-MD-EXPORT/ORBITRON-BROTHERS-archiv-20260806-a/replit.md",
      "score": 77,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 75,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 95,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 97,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "secureALL",
      "title": "secureALL — DVAG Beratungstrainer",
      "source": "0-REPLIT-MD-EXPORT/secureALL/replit.md",
      "score": 77,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 85,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "4 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 4,
      "security_count": 1
    },
    {
      "project": "summa",
      "title": "summa — Philosophia et Theologia Salutis",
      "source": "0-REPLIT-MD-EXPORT/summa/replit.md",
      "score": 77,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 95,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 1
    },
    {
      "project": "AiSketchCoder",
      "title": "AiSketchCoder — Drawing App with Code Generation",
      "source": "0-REPLIT-MD-EXPORT/AiSketchCoder/replit.md",
      "score": 76,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 0
    },
    {
      "project": "genrali2",
      "title": "Generali Insurance & Investment Tools (genrali2)",
      "source": "0-REPLIT-MD-EXPORT/genrali2/replit.md",
      "score": 76,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 98,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "HealthAiCompanion",
      "title": "MedAssist - German Medical AI Assistant",
      "source": "0-REPLIT-MD-EXPORT/HealthAiCompanion/replit.md",
      "score": 76,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 96,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 0
    },
    {
      "project": "Radio",
      "title": "Neural Streaming Platform (Radio)",
      "source": "0-REPLIT-MD-EXPORT/Radio/replit.md",
      "score": 76,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "TENSOR-FLOW",
      "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
      "source": "0-REPLIT-MD-EXPORT/TENSOR-FLOW/replit.md",
      "score": 76,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 0
    },
    {
      "project": "VEKTOR-NEWS",
      "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
      "source": "0-REPLIT-MD-EXPORT/VEKTOR-NEWS/replit.md",
      "score": 76,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "WebSiteEnhancer1211",
      "title": "AI Website Generator (WebGen Pro)",
      "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer1211/replit.md",
      "score": 76,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 5
    },
    {
      "project": "claude code export",
      "title": "claude code export — Aktien / Börse / Trading Sammlung",
      "source": "0-REPLIT-MD-EXPORT/claude code export/replit.md",
      "score": 75,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "DenariusFinance",
      "title": "Genitus Inc - Denarius | Financial Analytics Dashboard",
      "source": "0-REPLIT-MD-EXPORT/DenariusFinance/replit.md",
      "score": 75,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 98,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "HTML-BACKUP",
      "title": "HTML-BACKUP — Vulgata Chronica Bibel-Galerie & Kreuzweg",
      "source": "0-REPLIT-MD-EXPORT/HTML-BACKUP/replit.md",
      "score": 75,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 95,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "QuantumCalculator",
      "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
      "source": "0-REPLIT-MD-EXPORT/QuantumCalculator/replit.md",
      "score": 75,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 93,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "11 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 11,
      "security_count": 0
    },
    {
      "project": "schach-meisger",
      "title": "Orbitron Chess / Deep Orbitron Chess Tutor (schach-meisger)",
      "source": "0-REPLIT-MD-EXPORT/schach-meisger/replit.md",
      "score": 75,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "STOCK-HTML5-REPORTS",
      "title": "STOCK-HTML5-REPORTS - Curated HTML5 Research Reports",
      "source": "0-REPLIT-MD-EXPORT/STOCK-HTML5-REPORTS/replit.md",
      "score": 75,
      "grade": "B",
      "confidence": "high",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 94,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 100,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 59,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 97,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Keine harten Blocker erkannt; Annahmen im Context Pack prüfen."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "DABATCHFORREAL",
      "title": "BATCH PROCESSOR — Mistral Batch API Interface",
      "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md",
      "score": 74,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 96,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "kath-ki",
      "title": "Katholisch-KI (kath-ki)",
      "source": "0-REPLIT-MD-EXPORT/kath-ki/replit.md",
      "score": 74,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 85,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "kostolany",
      "title": "kostolany — Book/Cover Publishing Workspace",
      "source": "0-REPLIT-MD-EXPORT/kostolany/replit.md",
      "score": 74,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 96,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "SymbolAnalyzer",
      "title": "SymbolAnalyzer — LEMOMENT API / NEURAL MATRIX Trading Tools",
      "source": "0-REPLIT-MD-EXPORT/SymbolAnalyzer/replit.md",
      "score": 74,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "0-VOLUMEN",
      "title": "0-VOLUMEN — Quant Trading Suite",
      "source": "0-REPLIT-MD-EXPORT/0-VOLUMEN/replit.md",
      "score": 73,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "AIBondIntelligence",
      "title": "AIBondIntelligence — Genitus Inc. AI/Crypto Bonds Platform",
      "source": "0-REPLIT-MD-EXPORT/AIBondIntelligence/replit.md",
      "score": 73,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "DVAG-LEMIX",
      "title": "DVAG-LEMIX — DVAG Financial Calculator Tools",
      "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md",
      "score": 73,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "games",
      "title": "ORBITRON - Neural Games Hub (games)",
      "source": "0-REPLIT-MD-EXPORT/games/replit.md",
      "score": 73,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 83,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "LANG-CHAIN",
      "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
      "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md",
      "score": 73,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 2
    },
    {
      "project": "pwa-history",
      "title": "pwa-history — Bibliotheken Hub (installierbare PWA)",
      "source": "0-REPLIT-MD-EXPORT/pwa-history/replit.md",
      "score": 73,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 99,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 83,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "QuoteHunter",
      "title": "QuoteHunter - BetOdds Pro",
      "source": "0-REPLIT-MD-EXPORT/QuoteHunter/replit.md",
      "score": 73,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "10 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 10,
      "security_count": 0
    },
    {
      "project": "StockGptIntelligence",
      "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
      "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md",
      "score": 73,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 70,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "1 kritische Security-Fundstelle(n) vor dem Rebuild klären.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "13 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 13,
      "security_count": 1
    },
    {
      "project": "XTRACKERS",
      "title": "XTRACKERS — Xtrackers by DWS: Bloomberg Terminal Dashboard",
      "source": "0-REPLIT-MD-EXPORT/XTRACKERS/replit.md",
      "score": 73,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "10 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 10,
      "security_count": 0
    },
    {
      "project": "ChartStyler",
      "title": "ChartStyler — PeakValleyAI Stock Analysis",
      "source": "0-REPLIT-MD-EXPORT/ChartStyler/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 84,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 1
    },
    {
      "project": "CryptoTraderPro",
      "title": "CryptoTraderPro — FinTech Startup EOD Proxy",
      "source": "0-REPLIT-MD-EXPORT/CryptoTraderPro/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "DaBATCH-JOB",
      "title": "Corporate App Gallery — Premium HTML5 Solutions",
      "source": "0-REPLIT-MD-EXPORT/DaBATCH-JOB/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "DiabetesGuardian",
      "title": "Emergency & Diabetes Care Bot - LifeSaver",
      "source": "0-REPLIT-MD-EXPORT/DiabetesGuardian/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 98,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "7 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 7,
      "security_count": 0
    },
    {
      "project": "GenitusBroker",
      "title": "Genitus Inc. - Realtime AI Robo Advisor",
      "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "GoldShieldTrading",
      "title": "GoldShield AI Trading (Genitus Inc.)",
      "source": "0-REPLIT-MD-EXPORT/GoldShieldTrading/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "html-export",
      "title": "html-export — Katholisch-KI Plattform (Quantum Spiritual OS)",
      "source": "0-REPLIT-MD-EXPORT/html-export/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 95,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "KI-DZ-Club",
      "title": "KI-Club - AI Workshops for Children",
      "source": "0-REPLIT-MD-EXPORT/KI-DZ-Club/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 94,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 74,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "latein-bibiothek",
      "title": "latein-bibiothek — Lingua Latina Nova",
      "source": "0-REPLIT-MD-EXPORT/latein-bibiothek/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "4 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 4,
      "security_count": 0
    },
    {
      "project": "LeMarche-PWA-Export",
      "title": "Le Marché PWA Export",
      "source": "0-REPLIT-MD-EXPORT/LeMarche-PWA-Export/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 1
    },
    {
      "project": "ML-Predictin",
      "title": "L'ALGO NEURAL — ML Trading & Macro Intelligence",
      "source": "0-REPLIT-MD-EXPORT/ML-Predictin/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "MOURINHO",
      "title": "MOURINHO — Football Academy Pro / SFD '75",
      "source": "0-REPLIT-MD-EXPORT/MOURINHO/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "7 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 7,
      "security_count": 0
    },
    {
      "project": "OPEN-SEARCH",
      "title": "VectorSearch Library (OPEN-SEARCH)",
      "source": "0-REPLIT-MD-EXPORT/OPEN-SEARCH/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "4 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 4,
      "security_count": 0
    },
    {
      "project": "TravelMate",
      "title": "TravelGPT (TravelMate)",
      "source": "0-REPLIT-MD-EXPORT/TravelMate/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "TrendPulse",
      "title": "TrendPulse — Stock Analysis Chatbot (EOD-Proxy)",
      "source": "0-REPLIT-MD-EXPORT/TrendPulse/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 98,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "tts-batch",
      "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
      "source": "0-REPLIT-MD-EXPORT/tts-batch/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "11 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 11,
      "security_count": 0
    },
    {
      "project": "WeatherWhiz",
      "title": "Weather Dashboard Application (WeatherWhiz)",
      "source": "0-REPLIT-MD-EXPORT/WeatherWhiz/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 94,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "10 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 10,
      "security_count": 0
    },
    {
      "project": "WebinarAiAssistant",
      "title": "Webinar Chat Application (WebinarAiAssistant)",
      "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md",
      "score": 72,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 96,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "11 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 11,
      "security_count": 0
    },
    {
      "project": "1agames",
      "title": "1agames — NEURAL Games Collection",
      "source": "0-REPLIT-MD-EXPORT/1agames/replit.md",
      "score": 71,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "AutoGenerationPro",
      "title": "AutoBotHub",
      "source": "0-REPLIT-MD-EXPORT/AutoGenerationPro/replit.md",
      "score": 71,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 92,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "GLOBALFINTECH",
      "title": "GoldShield AI - Premium Financial Intelligence (GLOBALFINTECH)",
      "source": "0-REPLIT-MD-EXPORT/GLOBALFINTECH/replit.md",
      "score": 71,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "IntraTradeAnalyzer-1",
      "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
      "source": "0-REPLIT-MD-EXPORT/IntraTradeAnalyzer-1/replit.md",
      "score": 71,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "11 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 11,
      "security_count": 1
    },
    {
      "project": "joojo",
      "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
      "source": "0-REPLIT-MD-EXPORT/joojo/replit.md",
      "score": 71,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "StockSentinel (1)",
      "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
      "source": "0-REPLIT-MD-EXPORT/StockSentinel (1)/replit.md",
      "score": 71,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 83,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "anwalt",
      "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
      "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md",
      "score": 70,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 1
    },
    {
      "project": "CareerCrafter",
      "title": "Job Search Application (CareerCrafter)",
      "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md",
      "score": 70,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 89,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "ebookdvga",
      "title": "DVAG Investment Strategies for Beginners (ebookdvga)",
      "source": "0-REPLIT-MD-EXPORT/ebookdvga/replit.md",
      "score": 70,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "ForexAnalyticsDashboard",
      "title": "Forex Analytics Dashboard",
      "source": "0-REPLIT-MD-EXPORT/ForexAnalyticsDashboard/replit.md",
      "score": 70,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 89,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 0
    },
    {
      "project": "FUNandPROFIT",
      "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
      "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md",
      "score": 70,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 94,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "HEIKIN-ASHI-1",
      "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
      "source": "0-REPLIT-MD-EXPORT/HEIKIN-ASHI-1/replit.md",
      "score": 70,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 93,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "MarketAnalyzer",
      "title": "MarketAnalyzer - EXECUTED ORDERBOOK AI",
      "source": "0-REPLIT-MD-EXPORT/MarketAnalyzer/replit.md",
      "score": 70,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 70,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "1 kritische Security-Fundstelle(n) vor dem Rebuild klären.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "8 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 8,
      "security_count": 1
    },
    {
      "project": "SlideSwapViewer",
      "title": "Orderbook AI (SlideSwapViewer)",
      "source": "0-REPLIT-MD-EXPORT/SlideSwapViewer/replit.md",
      "score": 70,
      "grade": "B",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 99,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 55,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "4 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 4,
      "security_count": 0
    },
    {
      "project": "genitormatrix",
      "title": "genitormatrix — CODE GENITOR: Theological Science Fiction Trilogy",
      "source": "0-REPLIT-MD-EXPORT/genitormatrix/replit.md",
      "score": 69,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 59,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "ORBITRON-OS",
      "title": "ORBITRON OS",
      "source": "0-REPLIT-MD-EXPORT/ORBITRON-OS/replit.md",
      "score": 69,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "truthmap",
      "title": "Map Projections: Theory, History, and Accuracy (truthmap)",
      "source": "0-REPLIT-MD-EXPORT/truthmap/replit.md",
      "score": 69,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 97,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 65,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 59,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 94,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "agency",
      "title": "Genitus Inc. - AI Agency Website (agency)",
      "source": "0-REPLIT-MD-EXPORT/agency/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 96,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "AILanguageExplorer",
      "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
      "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "11 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 11,
      "security_count": 0
    },
    {
      "project": "BrokerBuddy",
      "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
      "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "13 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 13,
      "security_count": 0
    },
    {
      "project": "CRYPTO-TANKSTELLE-archiv-20260714",
      "title": "GENITUS // Quantum Crypto Orbitron (Archiv-Vorgängerversion)",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260714/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "dacasestudy",
      "title": "dacasestudy — KI Power Index (KIP) Final Report 2025",
      "source": "0-REPLIT-MD-EXPORT/dacasestudy/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "famer-und-jager",
      "title": "famer-und-jager — German Financial Education Ebook Library + HAUSMAISTER Saga",
      "source": "0-REPLIT-MD-EXPORT/famer-und-jager/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 95,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "KORRES",
      "title": "KORRES — FrançaisPro AI-Powered French Learning Application",
      "source": "0-REPLIT-MD-EXPORT/KORRES/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "LeadHarvester (1)",
      "title": "Lead Extraction Tool (LeadHarvester)",
      "source": "0-REPLIT-MD-EXPORT/LeadHarvester (1)/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 86,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "LeWATCH",
      "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
      "source": "0-REPLIT-MD-EXPORT/LeWATCH/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "5 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 5,
      "security_count": 0
    },
    {
      "project": "orbitron-maps",
      "title": "orbitron-maps — Ultimate Guide: Reiseführer, Karten & Weltraum-Tools",
      "source": "0-REPLIT-MD-EXPORT/orbitron-maps/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 1
    },
    {
      "project": "ResponsiveCacheHandler",
      "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
      "source": "0-REPLIT-MD-EXPORT/ResponsiveCacheHandler/replit.md",
      "score": 68,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "9 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 9,
      "security_count": 0
    },
    {
      "project": "bluehost-export",
      "title": "bluehost-export (GoldShield AI - Premium Financial Intelligence)",
      "source": "0-REPLIT-MD-EXPORT/bluehost-export/replit.md",
      "score": 67,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 59,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 60,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt.",
        "Tests oder Testwerkzeuge werden erwähnt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "WikiIMAGE-1",
      "title": "Wikipedia-Style Article Generator (WikiIMAGE-1)",
      "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1/replit.md",
      "score": 67,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 93,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "7 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 7,
      "security_count": 0
    },
    {
      "project": "aldi",
      "title": "aldi — ALDI MEGA-PLATTFORM Project",
      "source": "0-REPLIT-MD-EXPORT/aldi/replit.md",
      "score": 66,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 98,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 83,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "ANGELUS",
      "title": "ANGELUS · Neural Liturgical Bell",
      "source": "0-REPLIT-MD-EXPORT/ANGELUS/replit.md",
      "score": 66,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "BLUEHOST",
      "title": "BLUEHOST — domusaurea.tech Archiv-Export",
      "source": "0-REPLIT-MD-EXPORT/BLUEHOST/replit.md",
      "score": 66,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 1
    },
    {
      "project": "Fintech",
      "title": "Fintech - Sammlung statischer Trading/Fintech-Tools",
      "source": "0-REPLIT-MD-EXPORT/Fintech/replit.md",
      "score": 66,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "goldi1-archiv-20260608",
      "title": "GoldShield Trading AI (Archiv)",
      "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260608/replit.md",
      "score": 66,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 85,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "7 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 7,
      "security_count": 0
    },
    {
      "project": "MajorBotInterface",
      "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md",
      "score": 66,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 100,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 70,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "1 kritische Security-Fundstelle(n) vor dem Rebuild klären.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "13 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 13,
      "security_count": 1
    },
    {
      "project": "powerSLIDES",
      "title": "DVAG Sales Script - Corporate Level (powerSLIDES)",
      "source": "0-REPLIT-MD-EXPORT/powerSLIDES/replit.md",
      "score": 66,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "3 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 3,
      "security_count": 0
    },
    {
      "project": "VisualDesignSystem",
      "title": "VisualDesignSystem — Le Marché AI (Landingpage fuer die Genitus-Trading-App-Suite)",
      "source": "0-REPLIT-MD-EXPORT/VisualDesignSystem/replit.md",
      "score": 66,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 99,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 83,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 1
    },
    {
      "project": "Legal-TECH",
      "title": "Legal-TECH — ORBITRON LEGALTECH",
      "source": "0-REPLIT-MD-EXPORT/Legal-TECH/replit.md",
      "score": 65,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 96,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 59,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 90,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "bluehost-stack-catalog",
      "title": "bluehost-stack-catalog",
      "source": "0-REPLIT-MD-EXPORT/bluehost-stack-catalog/replit.md",
      "score": 64,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 74,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "dvao-os-1",
      "title": "DVAG OS 1.1 - Financial Advisor Portal (dvao-os-1)",
      "source": "0-REPLIT-MD-EXPORT/dvao-os-1/replit.md",
      "score": 64,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "free-programming-books-main",
      "title": "free-programming-books-main",
      "source": "0-REPLIT-MD-EXPORT/free-programming-books-main/replit.md",
      "score": 64,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren."
      ],
      "dependency_count": 0,
      "security_count": 0
    },
    {
      "project": "history",
      "title": "history — Geschichtsbibliotheken Projekt (100% Complete)",
      "source": "0-REPLIT-MD-EXPORT/history/replit.md",
      "score": 64,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "LeadHarvester",
      "title": "Lead Extraction Tool (LeadHarvester)",
      "source": "0-REPLIT-MD-EXPORT/LeadHarvester/replit.md",
      "score": 64,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 86,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 83,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "liturgie-1",
      "title": "Liturgisches Archiv (liturgie-1)",
      "source": "0-REPLIT-MD-EXPORT/liturgie-1/replit.md",
      "score": 64,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "NACHHILFE",
      "title": "NACHHILFE — Sprachgrammatik- & Formel-Bibliothek",
      "source": "0-REPLIT-MD-EXPORT/NACHHILFE/replit.md",
      "score": 64,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 97,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 74,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "Nice-Watchliste",
      "title": "GENITUS Watchlist Hub (Nice-Watchliste)",
      "source": "0-REPLIT-MD-EXPORT/Nice-Watchliste/replit.md",
      "score": 64,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 98,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 74,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "2 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 2,
      "security_count": 0
    },
    {
      "project": "PerplexityMaster",
      "title": "PerplexityMaster (Perplexity Matrix)",
      "source": "0-REPLIT-MD-EXPORT/PerplexityMaster/replit.md",
      "score": 64,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 89,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 86,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "7 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 7,
      "security_count": 0
    },
    {
      "project": "deepresearch",
      "title": "Deep Research Bibliothek (deepresearch)",
      "source": "0-REPLIT-MD-EXPORT/deepresearch/replit.md",
      "score": 63,
      "grade": "C",
      "confidence": "medium",
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        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "goldi1-archiv-20260622-a",
      "title": "goldi1 (archivierte Version, Stand 2026-06-22)",
      "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260622-a/replit.md",
      "score": 63,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 70,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 98,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 88,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert.",
        "Mehrere Dokumentationshinweise erschweren die Übergabe."
      ],
      "strengths": [
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "4 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 4,
      "security_count": 0
    },
    {
      "project": "cumex",
      "title": "Cum-Ex & Cum-Cum Educational Guide (cumex)",
      "source": "0-REPLIT-MD-EXPORT/cumex/replit.md",
      "score": 62,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 96,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 59,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "genitusorg",
      "title": "Genitus Inc. - AI Software Factory (genitusorg)",
      "source": "0-REPLIT-MD-EXPORT/genitusorg/replit.md",
      "score": 62,
      "grade": "C",
      "confidence": "medium",
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        {
          "name": "Product clarity",
          "score": 87,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren."
      ],
      "dependency_count": 0,
      "security_count": 0
    },
    {
      "project": "samsung-made",
      "title": "Samsung-made Index Organizer (samsung-made)",
      "source": "0-REPLIT-MD-EXPORT/samsung-made/replit.md",
      "score": 62,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 59,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "GenitusTrade",
      "title": "Genitus Inc. - Trading Platform",
      "source": "0-REPLIT-MD-EXPORT/GenitusTrade/replit.md",
      "score": 61,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 80,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 71,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "4 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 4,
      "security_count": 0
    },
    {
      "project": "INDEX-CONTROL",
      "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
      "source": "0-REPLIT-MD-EXPORT/INDEX-CONTROL/replit.md",
      "score": 61,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 95,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 59,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 2
    },
    {
      "project": "MINDSTAR",
      "title": "MINDSTAR // CODEBREAKER ULTIMATE",
      "source": "0-REPLIT-MD-EXPORT/MINDSTAR/replit.md",
      "score": 61,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 93,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 59,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben.",
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "6 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 6,
      "security_count": 0
    },
    {
      "project": "ROSENKRANZ",
      "title": "Der Heilige Rosenkranz — Bildgebetnis",
      "source": "0-REPLIT-MD-EXPORT/ROSENKRANZ/replit.md",
      "score": 60,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 47,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "SPIELESAMMLUNG",
      "title": "NEURAL GAMES HUB (SPIELESAMMLUNG)",
      "source": "0-REPLIT-MD-EXPORT/SPIELESAMMLUNG/replit.md",
      "score": 60,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 100,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 47,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Produktziel ist im Projektkontext beschrieben."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren.",
        "1 geteilte Dependency(s) im Dependency Atlas prüfen."
      ],
      "dependency_count": 1,
      "security_count": 0
    },
    {
      "project": "CRYPTO-TANKSTELLE-archiv-20260715",
      "title": "CRYPTO-TANKSTELLE (archivierte Version, Stand 2026-07-15)",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260715/replit.md",
      "score": 57,
      "grade": "C",
      "confidence": "medium",
      "dimensions": [
        {
          "name": "Product clarity",
          "score": 70,
          "evidence": "Overview, tags and project framing"
        },
        {
          "name": "Setup path",
          "score": 25,
          "evidence": "Install and run instructions"
        },
        {
          "name": "Architecture signal",
          "score": 59,
          "evidence": "Tech stack, API and integration signals"
        },
        {
          "name": "Quality evidence",
          "score": 30,
          "evidence": "Tests, validation and fallback language"
        },
        {
          "name": "Operational readiness",
          "score": 68,
          "evidence": "Deployment and data-layer clarity"
        },
        {
          "name": "Risk posture",
          "score": 91,
          "evidence": "Masked security findings and documentation warnings"
        }
      ],
      "blockers": [
        "Installations- oder Startpfad ist nicht vollständig dokumentiert."
      ],
      "strengths": [
        "Mehrere technische Bausteine sind explizit benannt."
      ],
      "next_steps": [
        "Context Pack öffnen und als Build-Brief exportieren.",
        "Blocker mit den verlinkten Originalquellen verifizieren."
      ],
      "dependency_count": 0,
      "security_count": 1
    }
  ],
  "documentation": [
    {
      "project": "0-VOLUMEN",
      "title": "0-VOLUMEN — Quant Trading Suite",
      "source": "0-REPLIT-MD-EXPORT/0-VOLUMEN/replit.md",
      "heading_count": 10,
      "duplicate_headings": [
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      "duplicate_paragraphs": [],
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      "has_install": false,
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      "has_api": true,
      "has_api_docs": false,
      "contradictions": [],
      "terminology_variants": [],
      "issue_count": 3,
      "suggestions": [
        "Doppelte Überschriften zusammenführen oder präzisieren.",
        "Installations- oder Setup-Schritte ergänzen.",
        "API-/Endpoint-Vertrag mit Beispiel und Fehlerfällen dokumentieren."
      ]
    },
    {
      "project": "1agames",
      "title": "1agames — NEURAL Games Collection",
      "source": "0-REPLIT-MD-EXPORT/1agames/replit.md",
      "heading_count": 10,
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      "last_signal": "2026-06-14",
      "signal_count": 1,
      "archive_order": 106,
      "evidence": "documented date signal"
    },
    {
      "project": "goldi1-archiv-20260622-a",
      "title": "goldi1 (archivierte Version, Stand 2026-06-22)",
      "source": "0-REPLIT-MD-EXPORT/goldi1-archiv-20260622-a/replit.md",
      "cluster": "Genitus-Oekosystem",
      "dates": [
        "2026-06-22"
      ],
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      "last_signal": "2026-06-22",
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      "archive_order": 65,
      "evidence": "documented date signal"
    },
    {
      "project": "CRYPTO-TANKSTELLE-archiv-20260715",
      "title": "CRYPTO-TANKSTELLE (archivierte Version, Stand 2026-07-15)",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260715/replit.md",
      "cluster": "Fintech-Trading",
      "dates": [
        "2026-07-01",
        "2026-07-15"
      ],
      "first_signal": "2026-07-01",
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      "archive_order": 25,
      "evidence": "documented date signal"
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    {
      "project": "CRYPTO-TANKSTELLE-archiv-20260714",
      "title": "GENITUS // Quantum Crypto Orbitron (Archiv-Vorgängerversion)",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE-archiv-20260714/replit.md",
      "cluster": "Fintech-Trading",
      "dates": [
        "2026-07-14"
      ],
      "first_signal": "2026-07-14",
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      "evidence": "documented date signal"
    },
    {
      "project": "bluehost-stack-catalog",
      "title": "bluehost-stack-catalog",
      "source": "0-REPLIT-MD-EXPORT/bluehost-stack-catalog/replit.md",
      "cluster": "Infrastruktur",
      "dates": [
        "2026-08-05"
      ],
      "first_signal": "2026-08-05",
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      "evidence": "documented date signal"
    },
    {
      "project": "0-VOLUMEN",
      "title": "0-VOLUMEN — Quant Trading Suite",
      "source": "0-REPLIT-MD-EXPORT/0-VOLUMEN/replit.md",
      "cluster": "Fintech-Trading",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "1agames",
      "title": "1agames — NEURAL Games Collection",
      "source": "0-REPLIT-MD-EXPORT/1agames/replit.md",
      "cluster": "Games",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "agency",
      "title": "Genitus Inc. - AI Agency Website (agency)",
      "source": "0-REPLIT-MD-EXPORT/agency/replit.md",
      "cluster": "Genitus-Oekosystem",
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      "evidence": "no dated signal in document"
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    {
      "project": "AIBondIntelligence",
      "title": "AIBondIntelligence — Genitus Inc. AI/Crypto Bonds Platform",
      "source": "0-REPLIT-MD-EXPORT/AIBondIntelligence/replit.md",
      "cluster": "Genitus-Oekosystem",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "AILanguageExplorer",
      "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
      "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md",
      "cluster": "Genitus-Oekosystem",
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    {
      "project": "ANGELUS",
      "title": "ANGELUS · Neural Liturgical Bell",
      "source": "0-REPLIT-MD-EXPORT/ANGELUS/replit.md",
      "cluster": "Religioes",
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      "evidence": "no dated signal in document"
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    {
      "project": "Auction-Option",
      "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
      "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md",
      "cluster": "Fintech-Trading",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "AutoGenerationPro",
      "title": "AutoBotHub",
      "source": "0-REPLIT-MD-EXPORT/AutoGenerationPro/replit.md",
      "cluster": "Genitus-Oekosystem",
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      "evidence": "no dated signal in document"
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    {
      "project": "BLUEHOST",
      "title": "BLUEHOST — domusaurea.tech Archiv-Export",
      "source": "0-REPLIT-MD-EXPORT/BLUEHOST/replit.md",
      "cluster": "Infrastruktur",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "bluehost-export",
      "title": "bluehost-export (GoldShield AI - Premium Financial Intelligence)",
      "source": "0-REPLIT-MD-EXPORT/bluehost-export/replit.md",
      "cluster": "Genitus-Oekosystem",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "BoostBrain2",
      "title": "BoostBrain2 — Claude AI Chat Application",
      "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md",
      "cluster": "Genitus-Oekosystem",
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      "evidence": "no dated signal in document"
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    {
      "project": "BrokerBuddy",
      "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
      "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md",
      "cluster": "Fintech-Trading",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "CareerCrafter",
      "title": "Job Search Application (CareerCrafter)",
      "source": "0-REPLIT-MD-EXPORT/CareerCrafter/replit.md",
      "cluster": "Bildung-Karriere",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "ChartStyler",
      "title": "ChartStyler — PeakValleyAI Stock Analysis",
      "source": "0-REPLIT-MD-EXPORT/ChartStyler/replit.md",
      "cluster": "Fintech-Trading",
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      "evidence": "no dated signal in document"
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    {
      "project": "claude code export",
      "title": "claude code export — Aktien / Börse / Trading Sammlung",
      "source": "0-REPLIT-MD-EXPORT/claude code export/replit.md",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "CLAUDE-PWA",
      "title": "CLAUDE-PWA — Neutral PWA Master Template",
      "source": "0-REPLIT-MD-EXPORT/CLAUDE-PWA/replit.md",
      "cluster": "Infrastruktur",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "CPlusPlus",
      "title": "NEXUS Command — RTS",
      "source": "0-REPLIT-MD-EXPORT/CPlusPlus/replit.md",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "CreditWall",
      "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
      "source": "0-REPLIT-MD-EXPORT/CreditWall/replit.md",
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      "evidence": "no dated signal in document"
    },
    {
      "project": "CRYPTO-TANKSTELLE",
      "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md",
      "cluster": "Fintech-Trading",
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      "evidence": "no dated signal in document"
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    {
      "project": "CryptoTraderPro",
      "title": "CryptoTraderPro — FinTech Startup EOD Proxy",
      "source": "0-REPLIT-MD-EXPORT/CryptoTraderPro/replit.md",
      "cluster": "Fintech-Trading",
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      "evidence": "no dated signal in document"
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      "project": "cumex",
      "title": "Cum-Ex & Cum-Cum Educational Guide (cumex)",
      "source": "0-REPLIT-MD-EXPORT/cumex/replit.md",
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      "evidence": "no dated signal in document"
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      "project": "DABATCHFORREAL",
      "title": "BATCH PROCESSOR — Mistral Batch API Interface",
      "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md",
      "cluster": "Infrastruktur",
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      "evidence": "no dated signal in document"
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    {
      "project": "dacasestudy",
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      "source": "0-REPLIT-MD-EXPORT/dacasestudy/replit.md",
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      "evidence": "no dated signal in document"
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      "project": "daniel",
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      "source": "0-REPLIT-MD-EXPORT/daniel/replit.md",
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    },
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      "project": "DataScienceToolkit",
      "title": "DataScienceToolkit — Le Marché AI Trading Dashboard",
      "source": "0-REPLIT-MD-EXPORT/DataScienceToolkit/replit.md",
      "cluster": "Fintech-Trading",
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      "evidence": "no dated signal in document"
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      "project": "DeepDiveResearcher",
      "title": "DeepDiveResearcher — Deep Research Bot",
      "source": "0-REPLIT-MD-EXPORT/DeepDiveResearcher/replit.md",
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      "evidence": "no dated signal in document"
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      "title": "Admin Dashboard (deluxedatamanger)",
      "source": "0-REPLIT-MD-EXPORT/deluxedatamanger/replit.md",
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      "evidence": "no dated signal in document"
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      "project": "DenariusFinance",
      "title": "Genitus Inc - Denarius | Financial Analytics Dashboard",
      "source": "0-REPLIT-MD-EXPORT/DenariusFinance/replit.md",
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      "evidence": "no dated signal in document"
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      "title": "Emergency & Diabetes Care Bot - LifeSaver",
      "source": "0-REPLIT-MD-EXPORT/DiabetesGuardian/replit.md",
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      "evidence": "no dated signal in document"
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      "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md",
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      "evidence": "no dated signal in document"
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      "project": "DVAGlanding",
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      "source": "0-REPLIT-MD-EXPORT/DVAGlanding/replit.md",
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      "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md",
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    },
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      "source": "0-REPLIT-MD-EXPORT/dvao-os-1/replit.md",
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      "source": "0-REPLIT-MD-EXPORT/famer-und-jager/replit.md",
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      "source": "0-REPLIT-MD-EXPORT/Fintech/replit.md",
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      "source": "0-REPLIT-MD-EXPORT/ForexAnalyticsDashboard/replit.md",
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      "source": "0-REPLIT-MD-EXPORT/free-programming-books-main/replit.md",
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      "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md",
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      "source": "0-REPLIT-MD-EXPORT/games/replit.md",
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      "evidence": "no dated signal in document"
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      "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md",
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      "evidence": "no dated signal in document"
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      "source": "0-REPLIT-MD-EXPORT/GEMINI-OS/replit.md",
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      "evidence": "no dated signal in document"
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      "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md",
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      "evidence": "no dated signal in document"
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      "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md",
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      "signal_count": 0,
      "archive_order": 130,
      "evidence": "no dated signal in document"
    },
    {
      "project": "StockSentinel",
      "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
      "source": "0-REPLIT-MD-EXPORT/StockSentinel/replit.md",
      "cluster": "Fintech-Trading",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 131,
      "evidence": "no dated signal in document"
    },
    {
      "project": "StockSentinel (1)",
      "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
      "source": "0-REPLIT-MD-EXPORT/StockSentinel (1)/replit.md",
      "cluster": "Genitus-Oekosystem",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 132,
      "evidence": "no dated signal in document"
    },
    {
      "project": "STOCK-SLIDES-TEMPLATES",
      "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
      "source": "0-REPLIT-MD-EXPORT/STOCK-SLIDES-TEMPLATES/replit.md",
      "cluster": "Fintech-Trading",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 133,
      "evidence": "no dated signal in document"
    },
    {
      "project": "summa",
      "title": "summa — Philosophia et Theologia Salutis",
      "source": "0-REPLIT-MD-EXPORT/summa/replit.md",
      "cluster": "Religioes",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 134,
      "evidence": "no dated signal in document"
    },
    {
      "project": "SymbolAnalyzer",
      "title": "SymbolAnalyzer — LEMOMENT API / NEURAL MATRIX Trading Tools",
      "source": "0-REPLIT-MD-EXPORT/SymbolAnalyzer/replit.md",
      "cluster": "Fintech-Trading",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 135,
      "evidence": "no dated signal in document"
    },
    {
      "project": "TENSOR-FLOW",
      "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
      "source": "0-REPLIT-MD-EXPORT/TENSOR-FLOW/replit.md",
      "cluster": "Fintech-Trading",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 136,
      "evidence": "no dated signal in document"
    },
    {
      "project": "TraderDashboard",
      "title": "Genitus Trading Dashboard (TraderDashboard)",
      "source": "0-REPLIT-MD-EXPORT/TraderDashboard/replit.md",
      "cluster": "Genitus-Oekosystem",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 137,
      "evidence": "no dated signal in document"
    },
    {
      "project": "TravelMate",
      "title": "TravelGPT (TravelMate)",
      "source": "0-REPLIT-MD-EXPORT/TravelMate/replit.md",
      "cluster": "Sonstiges",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 138,
      "evidence": "no dated signal in document"
    },
    {
      "project": "TrendPulse",
      "title": "TrendPulse — Stock Analysis Chatbot (EOD-Proxy)",
      "source": "0-REPLIT-MD-EXPORT/TrendPulse/replit.md",
      "cluster": "Fintech-Trading",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 139,
      "evidence": "no dated signal in document"
    },
    {
      "project": "truthmap",
      "title": "Map Projections: Theory, History, and Accuracy (truthmap)",
      "source": "0-REPLIT-MD-EXPORT/truthmap/replit.md",
      "cluster": "Bildung",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 140,
      "evidence": "no dated signal in document"
    },
    {
      "project": "tts-batch",
      "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
      "source": "0-REPLIT-MD-EXPORT/tts-batch/replit.md",
      "cluster": "Infrastruktur",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 141,
      "evidence": "no dated signal in document"
    },
    {
      "project": "VAULTY",
      "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
      "source": "0-REPLIT-MD-EXPORT/VAULTY/replit.md",
      "cluster": "DVAG-Versicherung",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 142,
      "evidence": "no dated signal in document"
    },
    {
      "project": "VEKTOR-NEWS",
      "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
      "source": "0-REPLIT-MD-EXPORT/VEKTOR-NEWS/replit.md",
      "cluster": "Genitus-Oekosystem",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 143,
      "evidence": "no dated signal in document"
    },
    {
      "project": "VisualDesignSystem",
      "title": "VisualDesignSystem — Le Marché AI (Landingpage fuer die Genitus-Trading-App-Suite)",
      "source": "0-REPLIT-MD-EXPORT/VisualDesignSystem/replit.md",
      "cluster": "Genitus-Oekosystem",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 144,
      "evidence": "no dated signal in document"
    },
    {
      "project": "VocabMaster",
      "title": "AI Lingua - Language Learning Platform (VocabMaster)",
      "source": "0-REPLIT-MD-EXPORT/VocabMaster/replit.md",
      "cluster": "Bildung",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 145,
      "evidence": "no dated signal in document"
    },
    {
      "project": "VOLUMEN-TRADING",
      "title": "0-VOLUMEN — Quant Trading Suite (VOLUMEN-TRADING)",
      "source": "0-REPLIT-MD-EXPORT/VOLUMEN-TRADING/replit.md",
      "cluster": "Fintech-Trading",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 146,
      "evidence": "no dated signal in document"
    },
    {
      "project": "WeatherWhiz",
      "title": "Weather Dashboard Application (WeatherWhiz)",
      "source": "0-REPLIT-MD-EXPORT/WeatherWhiz/replit.md",
      "cluster": "Sonstiges",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 147,
      "evidence": "no dated signal in document"
    },
    {
      "project": "WebinarAiAssistant",
      "title": "Webinar Chat Application (WebinarAiAssistant)",
      "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md",
      "cluster": "Genitus-Oekosystem",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 148,
      "evidence": "no dated signal in document"
    },
    {
      "project": "WebSiteEnhancer",
      "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
      "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer/replit.md",
      "cluster": "Bildung",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 149,
      "evidence": "no dated signal in document"
    },
    {
      "project": "WikiIMAGE-1",
      "title": "Wikipedia-Style Article Generator (WikiIMAGE-1)",
      "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1/replit.md",
      "cluster": "Bildung",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 151,
      "evidence": "no dated signal in document"
    },
    {
      "project": "WikiIMAGE-1imgur",
      "title": "WikiIMAGE-1imgur — KI-Enzyklopaedie-Generator (Wikipedia-Style)",
      "source": "0-REPLIT-MD-EXPORT/WikiIMAGE-1imgur/replit.md",
      "cluster": "Bildung",
      "dates": [],
      "first_signal": null,
      "last_signal": null,
      "signal_count": 0,
      "archive_order": 152,
      "evidence": "no dated signal in document"
    }
  ],
  "contradictions": [
    {
      "project": "0-VOLUMEN",
      "title": "0-VOLUMEN — Quant Trading Suite",
      "source": "0-REPLIT-MD-EXPORT/0-VOLUMEN/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "AIInvestmentAnalyzer",
      "title": "AIInvestmentAnalyzer - LeDash AI Investment Dashboard",
      "source": "0-REPLIT-MD-EXPORT/AIInvestmentAnalyzer/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "ANGELUS",
      "title": "ANGELUS · Neural Liturgical Bell",
      "source": "0-REPLIT-MD-EXPORT/ANGELUS/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "Auction-Option",
      "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
      "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "BLUEHOST",
      "title": "BLUEHOST — domusaurea.tech Archiv-Export",
      "source": "0-REPLIT-MD-EXPORT/BLUEHOST/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "ChartStyler",
      "title": "ChartStyler — PeakValleyAI Stock Analysis",
      "source": "0-REPLIT-MD-EXPORT/ChartStyler/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "CLAUDE-PWA",
      "title": "CLAUDE-PWA — Neutral PWA Master Template",
      "source": "0-REPLIT-MD-EXPORT/CLAUDE-PWA/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "CPlusPlus",
      "title": "NEXUS Command — RTS",
      "source": "0-REPLIT-MD-EXPORT/CPlusPlus/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "daBATCH-job-runde3",
      "title": "Corporate MVPs (daBATCH-job-runde3)",
      "source": "0-REPLIT-MD-EXPORT/daBATCH-job-runde3/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "dacasestudy",
      "title": "dacasestudy — KI Power Index (KIP) Final Report 2025",
      "source": "0-REPLIT-MD-EXPORT/dacasestudy/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "daniel",
      "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
      "source": "0-REPLIT-MD-EXPORT/daniel/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "DVAGintranet",
      "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
      "source": "0-REPLIT-MD-EXPORT/DVAGintranet/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "ebookdvga",
      "title": "DVAG Investment Strategies for Beginners (ebookdvga)",
      "source": "0-REPLIT-MD-EXPORT/ebookdvga/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "FibonacciTrader",
      "title": "FibonacciTrader - FiboTrader Pro / Fibonacci-Based Trading Signals Platform",
      "source": "0-REPLIT-MD-EXPORT/FibonacciTrader/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "Fintech",
      "title": "Fintech - Sammlung statischer Trading/Fintech-Tools",
      "source": "0-REPLIT-MD-EXPORT/Fintech/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "GAMMA-APP",
      "title": "Gamma Studio Engine",
      "source": "0-REPLIT-MD-EXPORT/GAMMA-APP/replit.md",
      "kind": "data-layer",
      "severity": "high",
      "statement": "Dokumentation verneint eine Datenbank, der Tech-Signal-Scan erkennt aber einen Datenbank-Baustein.",
      "evidence": "Redis, SQLite"
    },
    {
      "project": "genitus-db-online",
      "title": "genitus-db-online — GENITUS File Management System",
      "source": "0-REPLIT-MD-EXPORT/genitus-db-online/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "genrali2",
      "title": "Generali Insurance & Investment Tools (genrali2)",
      "source": "0-REPLIT-MD-EXPORT/genrali2/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "GlobalNewsCentral",
      "title": "GlobalNewsCentral — NEWSFLOW.AI",
      "source": "0-REPLIT-MD-EXPORT/GlobalNewsCentral/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "GoldShieldTrading",
      "title": "GoldShield AI Trading (Genitus Inc.)",
      "source": "0-REPLIT-MD-EXPORT/GoldShieldTrading/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "HEIKIN-ASHI-1",
      "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
      "source": "0-REPLIT-MD-EXPORT/HEIKIN-ASHI-1/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "joojo",
      "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
      "source": "0-REPLIT-MD-EXPORT/joojo/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "kath-ki",
      "title": "Katholisch-KI (kath-ki)",
      "source": "0-REPLIT-MD-EXPORT/kath-ki/replit.md",
      "kind": "documentation",
      "severity": "high",
      "statement": "Aussagen zu fehlendem und vorhandenem Backend/API prüfen.",
      "evidence": "Internal contradiction heuristic"
    },
    {
      "project": "kath-ki",
      "title": "Katholisch-KI (kath-ki)",
      "source": "0-REPLIT-MD-EXPORT/kath-ki/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "KI-DZ-Club",
      "title": "KI-Club - AI Workshops for Children",
      "source": "0-REPLIT-MD-EXPORT/KI-DZ-Club/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "LANG-CHAIN",
      "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
      "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "latein-bibiothek",
      "title": "latein-bibiothek — Lingua Latina Nova",
      "source": "0-REPLIT-MD-EXPORT/latein-bibiothek/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "LeadHarvester (1)",
      "title": "Lead Extraction Tool (LeadHarvester)",
      "source": "0-REPLIT-MD-EXPORT/LeadHarvester (1)/replit.md",
      "kind": "data-layer",
      "severity": "high",
      "statement": "Dokumentation verneint eine Datenbank, der Tech-Signal-Scan erkennt aber einen Datenbank-Baustein.",
      "evidence": "SQLite"
    },
    {
      "project": "MajorBotInterface",
      "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "MajorBotInterface-lemarche",
      "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
      "source": "0-REPLIT-MD-EXPORT/MajorBotInterface-lemarche/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "MarketAnalyzer",
      "title": "MarketAnalyzer - EXECUTED ORDERBOOK AI",
      "source": "0-REPLIT-MD-EXPORT/MarketAnalyzer/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "MARKOV-TRADING",
      "title": "MARKOV-TRADING // Markov Stack — Trend Rider & Gambling Suite",
      "source": "0-REPLIT-MD-EXPORT/MARKOV-TRADING/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "ML-Predictin",
      "title": "L'ALGO NEURAL — ML Trading & Macro Intelligence",
      "source": "0-REPLIT-MD-EXPORT/ML-Predictin/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "ModernCoder",
      "title": "Python IDE (ModernCoder)",
      "source": "0-REPLIT-MD-EXPORT/ModernCoder/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "NACHHILFE",
      "title": "NACHHILFE — Sprachgrammatik- & Formel-Bibliothek",
      "source": "0-REPLIT-MD-EXPORT/NACHHILFE/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "OFFICE-FREE",
      "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
      "source": "0-REPLIT-MD-EXPORT/OFFICE-FREE/replit.md",
      "kind": "data-layer",
      "severity": "high",
      "statement": "Dokumentation verneint eine Datenbank, der Tech-Signal-Scan erkennt aber einen Datenbank-Baustein.",
      "evidence": "Drizzle, PostgreSQL"
    },
    {
      "project": "OPEN-SEARCH",
      "title": "VectorSearch Library (OPEN-SEARCH)",
      "source": "0-REPLIT-MD-EXPORT/OPEN-SEARCH/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "openBB",
      "title": "openBB — OpenBB Terminal Proxy Platform",
      "source": "0-REPLIT-MD-EXPORT/openBB/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "powerSLIDES",
      "title": "DVAG Sales Script - Corporate Level (powerSLIDES)",
      "source": "0-REPLIT-MD-EXPORT/powerSLIDES/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "Radio",
      "title": "Neural Streaming Platform (Radio)",
      "source": "0-REPLIT-MD-EXPORT/Radio/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "schach-meisger",
      "title": "Orbitron Chess / Deep Orbitron Chess Tutor (schach-meisger)",
      "source": "0-REPLIT-MD-EXPORT/schach-meisger/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "SlideSwapViewer",
      "title": "Orderbook AI (SlideSwapViewer)",
      "source": "0-REPLIT-MD-EXPORT/SlideSwapViewer/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "StockGptIntelligence",
      "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
      "source": "0-REPLIT-MD-EXPORT/StockGptIntelligence/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "TENSOR-FLOW",
      "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
      "source": "0-REPLIT-MD-EXPORT/TENSOR-FLOW/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "tts-batch",
      "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
      "source": "0-REPLIT-MD-EXPORT/tts-batch/replit.md",
      "kind": "data-layer",
      "severity": "high",
      "statement": "Dokumentation verneint eine Datenbank, der Tech-Signal-Scan erkennt aber einen Datenbank-Baustein.",
      "evidence": "Drizzle, PostgreSQL, Redis"
    },
    {
      "project": "VocabMaster",
      "title": "AI Lingua - Language Learning Platform (VocabMaster)",
      "source": "0-REPLIT-MD-EXPORT/VocabMaster/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "VOLUMEN-TRADING",
      "title": "0-VOLUMEN — Quant Trading Suite (VOLUMEN-TRADING)",
      "source": "0-REPLIT-MD-EXPORT/VOLUMEN-TRADING/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "WebinarAiAssistant",
      "title": "Webinar Chat Application (WebinarAiAssistant)",
      "source": "0-REPLIT-MD-EXPORT/WebinarAiAssistant/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "WebSiteEnhancer",
      "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
      "source": "0-REPLIT-MD-EXPORT/WebSiteEnhancer/replit.md",
      "kind": "api-layer",
      "severity": "high",
      "statement": "Dokumentation verneint Backend/API, beschreibt aber API-, Endpoint- oder Route-Signale.",
      "evidence": "API-/Endpoint-Begriffe im Dokument"
    },
    {
      "project": "1agames",
      "title": "1agames — NEURAL Games Collection",
      "source": "0-REPLIT-MD-EXPORT/1agames/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "agency",
      "title": "Genitus Inc. - AI Agency Website (agency)",
      "source": "0-REPLIT-MD-EXPORT/agency/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "AIBondIntelligence",
      "title": "AIBondIntelligence — Genitus Inc. AI/Crypto Bonds Platform",
      "source": "0-REPLIT-MD-EXPORT/AIBondIntelligence/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "AILanguageExplorer",
      "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
      "source": "0-REPLIT-MD-EXPORT/AILanguageExplorer/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "aldi",
      "title": "aldi — ALDI MEGA-PLATTFORM Project",
      "source": "0-REPLIT-MD-EXPORT/aldi/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "ANGELUS",
      "title": "ANGELUS · Neural Liturgical Bell",
      "source": "0-REPLIT-MD-EXPORT/ANGELUS/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "anwalt",
      "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
      "source": "0-REPLIT-MD-EXPORT/anwalt/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "Auction-Option",
      "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
      "source": "0-REPLIT-MD-EXPORT/Auction-Option/replit.md",
      "kind": "quality",
      "severity": "medium",
      "statement": "Dokumentation verneint Tests, nennt an anderer Stelle aber Testsignale.",
      "evidence": "Testbegriffe und Negationsaussage"
    },
    {
      "project": "AutoGenerationPro",
      "title": "AutoBotHub",
      "source": "0-REPLIT-MD-EXPORT/AutoGenerationPro/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "BLUEHOST",
      "title": "BLUEHOST — domusaurea.tech Archiv-Export",
      "source": "0-REPLIT-MD-EXPORT/BLUEHOST/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "bluehost-export",
      "title": "bluehost-export (GoldShield AI - Premium Financial Intelligence)",
      "source": "0-REPLIT-MD-EXPORT/bluehost-export/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "bluehost-stack-catalog",
      "title": "bluehost-stack-catalog",
      "source": "0-REPLIT-MD-EXPORT/bluehost-stack-catalog/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "BoostBrain2",
      "title": "BoostBrain2 — Claude AI Chat Application",
      "source": "0-REPLIT-MD-EXPORT/BoostBrain2/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "BrokerBuddy",
      "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
      "source": "0-REPLIT-MD-EXPORT/BrokerBuddy/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "CRYPTO-TANKSTELLE",
      "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
      "source": "0-REPLIT-MD-EXPORT/CRYPTO-TANKSTELLE/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "cumex",
      "title": "Cum-Ex & Cum-Cum Educational Guide (cumex)",
      "source": "0-REPLIT-MD-EXPORT/cumex/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "daBATCH-job-runde3",
      "title": "Corporate MVPs (daBATCH-job-runde3)",
      "source": "0-REPLIT-MD-EXPORT/daBATCH-job-runde3/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "DABATCHFORREAL",
      "title": "BATCH PROCESSOR — Mistral Batch API Interface",
      "source": "0-REPLIT-MD-EXPORT/DABATCHFORREAL/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "dacasestudy",
      "title": "dacasestudy — KI Power Index (KIP) Final Report 2025",
      "source": "0-REPLIT-MD-EXPORT/dacasestudy/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "deepresearch",
      "title": "Deep Research Bibliothek (deepresearch)",
      "source": "0-REPLIT-MD-EXPORT/deepresearch/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "DVAG-LEMIX",
      "title": "DVAG-LEMIX — DVAG Financial Calculator Tools",
      "source": "0-REPLIT-MD-EXPORT/DVAG-LEMIX/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "DVAGlanding",
      "title": "DVAG FinanzExpert - AI-Powered Financial Advisory System",
      "source": "0-REPLIT-MD-EXPORT/DVAGlanding/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "ebookdvga",
      "title": "DVAG Investment Strategies for Beginners (ebookdvga)",
      "source": "0-REPLIT-MD-EXPORT/ebookdvga/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "famer-und-jager",
      "title": "famer-und-jager — German Financial Education Ebook Library + HAUSMAISTER Saga",
      "source": "0-REPLIT-MD-EXPORT/famer-und-jager/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "Fintech",
      "title": "Fintech - Sammlung statischer Trading/Fintech-Tools",
      "source": "0-REPLIT-MD-EXPORT/Fintech/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "FUNandPROFIT",
      "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
      "source": "0-REPLIT-MD-EXPORT/FUNandPROFIT/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "games",
      "title": "ORBITRON - Neural Games Hub (games)",
      "source": "0-REPLIT-MD-EXPORT/games/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "generali",
      "title": "Generali - Versicherung & Investment Platform (generali)",
      "source": "0-REPLIT-MD-EXPORT/generali/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "GenitusBroker",
      "title": "Genitus Inc. - Realtime AI Robo Advisor",
      "source": "0-REPLIT-MD-EXPORT/GenitusBroker/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "genitusorg",
      "title": "Genitus Inc. - AI Software Factory (genitusorg)",
      "source": "0-REPLIT-MD-EXPORT/genitusorg/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "GenitusTrade",
      "title": "Genitus Inc. - Trading Platform",
      "source": "0-REPLIT-MD-EXPORT/GenitusTrade/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "genrali2",
      "title": "Generali Insurance & Investment Tools (genrali2)",
      "source": "0-REPLIT-MD-EXPORT/genrali2/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "GLOBALFINTECH",
      "title": "GoldShield AI - Premium Financial Intelligence (GLOBALFINTECH)",
      "source": "0-REPLIT-MD-EXPORT/GLOBALFINTECH/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "goldi1",
      "title": "goldi1 — GoldShield Trading AI",
      "source": "0-REPLIT-MD-EXPORT/goldi1/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "HEIKIN-ASHI-1",
      "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
      "source": "0-REPLIT-MD-EXPORT/HEIKIN-ASHI-1/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "history",
      "title": "history — Geschichtsbibliotheken Projekt (100% Complete)",
      "source": "0-REPLIT-MD-EXPORT/history/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "html-export",
      "title": "html-export — Katholisch-KI Plattform (Quantum Spiritual OS)",
      "source": "0-REPLIT-MD-EXPORT/html-export/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "Huashaltsbuch",
      "title": "DVAG Finance Application (Huashaltsbuch)",
      "source": "0-REPLIT-MD-EXPORT/Huashaltsbuch/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "INDEX-CONTROL",
      "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
      "source": "0-REPLIT-MD-EXPORT/INDEX-CONTROL/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "joojo",
      "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
      "source": "0-REPLIT-MD-EXPORT/joojo/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "kath-ki",
      "title": "Katholisch-KI (kath-ki)",
      "source": "0-REPLIT-MD-EXPORT/kath-ki/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "KI-DZ-Club",
      "title": "KI-Club - AI Workshops for Children",
      "source": "0-REPLIT-MD-EXPORT/KI-DZ-Club/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "KORRES",
      "title": "KORRES — FrançaisPro AI-Powered French Learning Application",
      "source": "0-REPLIT-MD-EXPORT/KORRES/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
      "project": "LANG-CHAIN",
      "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
      "source": "0-REPLIT-MD-EXPORT/LANG-CHAIN/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
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      "kind": "operational",
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    },
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    },
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      "source": "0-REPLIT-MD-EXPORT/Legal-TECH/replit.md",
      "kind": "operational",
      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
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    },
    {
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      "title": "Le Marché PWA Export",
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      "kind": "operational",
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      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
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      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
      "evidence": "Status-Metadatum vs. Documentation Doctor"
    },
    {
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    },
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      "severity": "medium",
      "statement": "Projektstatus ist production-ready, aber ein reproduzierbarer Run-/Startpfad fehlt.",
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        "archive_status": "missing",
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        "archive_matches": [
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        "created_estimate": "2026-08-08",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "ORBITRON-BROTHERS",
        "status": "Published",
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        "match_kind": "exact",
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          "ORBITRON-BROTHERS"
        ]
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      {
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        "created_estimate": "2026-08-08",
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        "created_label": "1 month ago",
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        "created_estimate": "2026-08-08",
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        "match_kind": "none",
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        "created_estimate": "2026-08-08",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "CHARTS-LIBRARY",
        "status": "Published",
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        "created_label": "24 days ago",
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        "created_estimate": "2026-08-14",
        "archive_status": "missing",
        "match_kind": "none",
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      },
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        "created_estimate": "2026-08-15",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
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        "status": "Published",
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        "created_label": "20 days ago",
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        "created_estimate": "2026-08-18",
        "archive_status": "exported",
        "match_kind": "exact",
        "archive_matches": [
          "MINDSTAR"
        ]
      },
      {
        "name": "Legal-TECH",
        "status": "Published",
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        "last_opened": "17 days ago",
        "created_label": "19 days ago",
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        "created_estimate": "2026-08-19",
        "archive_status": "exported",
        "match_kind": "exact",
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      {
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        "match_kind": "exact",
        "archive_matches": [
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        ]
      },
      {
        "name": "TexasInstruments",
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        "published_url": "texas-instruments.replit.app",
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        "created_label": "16 days ago",
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        "created_estimate": "2026-08-22",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "PWA-HISTORY-NACHHILFE",
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        "published_url": "",
        "last_opened": "12 days ago",
        "created_label": "12 days ago",
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        "created_estimate": "2026-08-26",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "pwa-history",
        "status": "Published",
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        "created_label": "12 days ago",
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        "created_estimate": "2026-08-26",
        "archive_status": "exported",
        "match_kind": "exact",
        "archive_matches": [
          "pwa-history"
        ]
      },
      {
        "name": "CHATBOT-EMPIRE",
        "status": "Published",
        "published_url": "chatbot-empire.replit.app",
        "last_opened": "9 days ago",
        "created_label": "12 days ago",
        "source_line": 3551,
        "created_estimate": "2026-08-26",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "LeMarché-PWA",
        "status": "Published",
        "published_url": "le-marche-pwa.replit.app",
        "last_opened": "7 days ago",
        "created_label": "10 days ago",
        "source_line": 3558,
        "created_estimate": "2026-08-28",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "REMIX-Haushalt",
        "status": "Published",
        "published_url": "orbitron-finance.replit.app",
        "last_opened": "8 days ago",
        "created_label": "9 days ago",
        "source_line": 3565,
        "created_estimate": "2026-08-29",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "SALES BOT",
        "status": "Published",
        "published_url": "sales-bot-pwa.replit.app",
        "last_opened": "4 days ago",
        "created_label": "8 days ago",
        "source_line": 3572,
        "created_estimate": "2026-08-30",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "LeMarché-PWA-remix",
        "status": "Published",
        "published_url": "le-marche-pwa-remix.replit.app",
        "last_opened": "3 days ago",
        "created_label": "7 days ago",
        "source_line": 3579,
        "created_estimate": "2026-08-31",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "Orbitron MARCHÉ",
        "status": "Published",
        "published_url": "orbitron-marche.replit.app",
        "last_opened": "21 hours ago",
        "created_label": "5 days ago",
        "source_line": 3586,
        "created_estimate": "2026-09-02",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "ROUTINE-CODING",
        "status": "Draft",
        "published_url": "",
        "last_opened": "4 days ago",
        "created_label": "4 days ago",
        "source_line": 3593,
        "created_estimate": "2026-09-03",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "REPLIT-MD",
        "status": "Published",
        "published_url": "replit-md-domusaureaopn.replit.app",
        "last_opened": "4 minutes ago",
        "created_label": "4 days ago",
        "source_line": 3599,
        "created_estimate": "2026-09-03",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "CODING CHATROOM",
        "status": "Published",
        "published_url": "genitus-chatroom.replit.app",
        "last_opened": "2 days ago",
        "created_label": "2 days ago",
        "source_line": 3606,
        "created_estimate": "2026-09-05",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      },
      {
        "name": "EBOOKS-AUFLAG-2",
        "status": "Published",
        "published_url": "ebooks-auflag-2.replit.app",
        "last_opened": "just now",
        "created_label": "23 hours ago",
        "source_line": 3613,
        "created_estimate": "2026-09-06",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": []
      }
    ],
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      "stack_records": 618,
      "stack_unique_names": 616,
      "drafts": 420,
      "published": 192,
      "failed": 6,
      "exported_exact": 132,
      "probable_matches": 10,
      "missing_exports": 476,
      "missing_drafts": 353,
      "missing_published": 118,
      "missing_failed": 5
    }
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    "generated_at": "2026-09-07T07:24:13.033587+00:00",
    "policy": {
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      "prompt_libraries": "Prompts are ideation inputs, not verified project evidence."
    },
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        "catalog_type": "html_stack",
        "catalog_id": "new-html-stack",
        "title": "Supplemental HTML5 / Replit Stack",
        "description": "A larger stack catalog. These records are stack candidates, not local Markdown exports.",
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          "AI-gestützte Forschung",
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          "API-Test-Tools",
          "Arcade-Spiele",
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          "Beziehungskommunikation",
          "Bildung",
          "Bildung-Karriere",
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          "COBA-CORE-Terminal-Familie",
          "CONSULTUS-APP-Familie",
          "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
          "CelestiaOS GPT Store",
          "CelestiaOS/DVAG-Finanzberatung",
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          "DVAG Beratungstrainer",
          "DVAG Beratungstraining",
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          "DVAG Finanzberatung",
          "DVAG Finanzmanagement",
          "DVAG Produktpräsentation",
          "DVAG Rentenplanung",
          "DVAG-Allfinanz-System",
          "DVAG-Altersvorsorge",
          "DVAG-Familienprodukte",
          "DVAG-Verkaufsstrategie",
          "DVAG-Versicherung",
          "DVAG-Versicherungen",
          "DVAG-Vertrieb",
          "DWS & GENERALI Fonds-Datenbank",
          "Domus-Aurea/Finanz-Dashboard",
          "Domus-Aurea/Finanz-Tools",
          "Domus-Aurea/Katholische KI-Plattform",
          "Domus-Aurea/Nostra-Aetate-Analyse",
          "Domus-Aurea/OS",
          "Domus-Avrea/Chatbot-Interface",
          "Domusaurea Desktop-Shell-Familie",
          "Domusaurea Finanz-Dashboard-Familie",
          "Domusaurea-Fintech-Portal-Familie",
          "Domvs Avrea O.P.N Marketing-Narrativ",
          "Domvs Avrea Trading-Tool-Familie",
          "Domvs Avrea Trading-Tool-Familie (AI Stock Analysis)",
          "Domvs-Avrea-Genitus-Markenfamilie",
          "Domvs-Avrea-O.P.N-Chatbot-Familie",
          "Domvs-Avrea-O.P.N-Fintech-Portal-Familie",
          "Domvs-Avrea-O.P.N-Investorenunterlagen (Genussschein-Familie)",
          "Domvs-Avrea-O.P.N-Unternehmensauftritt",
          "Domvs-Avrea/AI-Entwicklungswerkzeuge",
          "Domvs-Avrea/AI-Handelsplattform",
          "Domvs-Avrea/AI-Personal-Assistant",
          "Domvs-Avrea/AI-Technologie",
          "Domvs-Avrea/AI-Technologie-Holding",
          "Domvs-Avrea/AI-Toolkit",
          "Domvs-Avrea/AI-Tools-Plattform",
          "Domvs-Avrea/AI-gestuetzte Bildanalyse",
          "Domvs-Avrea/Advanced Vibe Engineering",
          "Domvs-Avrea/Advisor-Prep",
          "Domvs-Avrea/Anwaltsbot",
          "Domvs-Avrea/Bond-Analysis-Tools",
          "Domvs-Avrea/CRM-Management",
          "Domvs-Avrea/CRM-Systeme",
          "Domvs-Avrea/Champions-League-Sammelalbum",
          "Domvs-Avrea/Chatbot-Ökosystem",
          "Domvs-Avrea/Comic-Generator",
          "Domvs-Avrea/Corporate Recorder Suite",
          "Domvs-Avrea/DVAG Beratungstrainer",
          "Domvs-Avrea/DVAG-Ökosystem",
          "Domvs-Avrea/Detektiv-App",
          "Domvs-Avrea/ETF-Management",
          "Domvs-Avrea/FinTech-Enzyklopädie",
          "Domvs-Avrea/Finanzanalyse-Tools",
          "Domvs-Avrea/Finanzanalysetools",
          "Domvs-Avrea/Finanzberatung",
          "Domvs-Avrea/Finanzmanagement",
          "Domvs-Avrea/Fintech-Enzyklopädie",
          "Domvs-Avrea/Fonds-Tracking",
          "Domvs-Avrea/Forex-Analyse",
          "Domvs-Avrea/Galaxy Explorer",
          "Domvs-Avrea/Gaming-Portfolio",
          "Domvs-Avrea/Genussschein-Oekosystem",
          "Domvs-Avrea/Globus-Projekt",
          "Domvs-Avrea/Green AI Solutions",
          "Domvs-Avrea/HTML-Editor",
          "Domvs-Avrea/Intraday-Analyse-Tools",
          "Domvs-Avrea/KI-Check",
          "Domvs-Avrea/KI-Webinar",
          "Domvs-Avrea/Kampfsport-Simulator",
          "Domvs-Avrea/Katholische Seelsorge",
          "Domvs-Avrea/Katholischer Seelsorger Bot",
          "Domvs-Avrea/Kinder und KI",
          "Domvs-Avrea/Kommunikationshilfe",
          "Domvs-Avrea/Kundenpräsentation",
          "Domvs-Avrea/Kursangebote",
          "Domvs-Avrea/LATINA-V",
          "Domvs-Avrea/LeClaude-KI-Interaktion",
          "Domvs-Avrea/LeCode Fusion",
          "Domvs-Avrea/LeIDE",
          "Domvs-Avrea/Lead Management Ecosystem",
          "Domvs-Avrea/Lernbot-Ökosystem",
          "Domvs-Avrea/Literarische Werke",
          "Domvs-Avrea/Map-Navigator",
          "Domvs-Avrea/Neural Codex",
          "Domvs-Avrea/Neural Portfolio",
          "Domvs-Avrea/Neural-Kong-Spiel",
          "Domvs-Avrea/Niederländisch-Guide",
          "Domvs-Avrea/Politik-Manifest",
          "Domvs-Avrea/Projektmanagement-Tools",
          "Domvs-Avrea/Quantitative Trading Tools",
          "Domvs-Avrea/Smart Chatbot",
          "Domvs-Avrea/Spreadsheet-Tools",
          "Domvs-Avrea/Systemisches Coaching",
          "Domvs-Avrea/Trading-Hub",
          "Domvs-Avrea/Trading-Tools",
          "EOD Financial Tools",
          "EODHD-API-Beispiel-Serie",
          "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
          "EuroPilger",
          "FUNDS-Familie (Fonds-Analyse-Terminals)",
          "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
          "Finanzanalyse-Tools",
          "Finanzhandel/Trading-Plattformen",
          "Fintech-Trading",
          "Fitness-Apps",
          "Fonds-Management-Tools",
          "Football Academy Pro",
          "G-BONDS-Familie (Bond/FX-Terminal-Serie)",
          "Games",
          "Generali/Vermögenssicherung",
          "Genitus AI Chatbot",
          "Genitus AI Funds",
          "Genitus AI Prompt Library",
          "Genitus Case Study Suite",
          "Genitus DVAG",
          "Genitus Financial Analytics",
          "Genitus Inc Facility Management",
          "Genitus Inc.",
          "Genitus Inc. AI Consulting",
          "Genitus Inc. AI Software Ecosystem",
          "Genitus Inc. AI Solutions",
          "Genitus Inc. AI Tools",
          "Genitus Inc. AI-Tools",
          "Genitus Inc. Recorder Suite",
          "Genitus Inc. Universal AI Editor",
          "Genitus Inc. Universal Data Viewer",
          "Genitus Inc./AI Software Solutions",
          "Genitus Inc./GPTurbo",
          "Genitus Inc./KI Power Index",
          "Genitus Inc./KI-Assistent",
          "Genitus International Markets",
          "Genitus System Nexus",
          "Genitus-Investorenunterlagen (Certificate/Genussschein-Familie)",
          "Genitus-Krypto-Serie (IPO Scanner/Signal Alerts)",
          "Genitus-Learning",
          "Genitus-Oekosystem",
          "Genitus/Genussschein-Oekosystem",
          "Genitus/Le-MARCHÉ-Oekosystem",
          "Geospatial Tools",
          "Gitarren-Lernplattform",
          "GlobalFinTech.net-Portal-Familie",
          "GlobalFintech",
          "GoldShield Trading Community",
          "GoldShield-Robo-Advisor-Familie (GOLD-NEURAL/GOLD-VAULTY/GOLD-JUNGE)",
          "GoldShield-Terminal-Familie",
          "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
          "GoldShield/Le-MARCHÉ-Investorenunterlagen",
          "Hub/Index-Familie (LeMarche/Neural Command/Neural Deluxe)",
          "Hub/Index-Familie (Neural Deluxe)",
          "ISO JOE Serie (Micro-Hour / Shannon-Entropy)",
          "ISO JOE Serie (Seasonality)",
          "ISO-JOE-Serie (Saisonalitaets-Terminal-Familie)",
          "Infrastruktur",
          "Institutional Trading Hub",
          "Interaktive Chat-Anwendungen",
          "Interaktive Geschichten",
          "Interaktive Lernspiele",
          "Interaktive RPG-Tools",
          "JWT-Token-Generator-Familie",
          "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
          "KI-Anwaltslösungen",
          "KI-Anwendungen",
          "KI-Chat-Anwendungen",
          "KI-Club für Senioren",
          "KI-Musik-Generator",
          "KI-Office Suite",
          "KI-gestützte Spiele-Plattform",
          "KI-gestützte Webanwendungen",
          "KI-gestützte Wissensgenerierung",
          "KIDZ-Finanzkonzept",
          "Katholische KI-Plattform",
          "Katholische Weisheits-KI",
          "Kommunikationshilfen für Frauen",
          "Koran-Bibel-Analyse",
          "Le MARCHÉ AI",
          "LeCode-AI-Assistant-Familie (DVAG-Edition)",
          "Lernplattformen",
          "Markov Stack Hub",
          "Mistral AI",
          "Momentum-Intraday-Familie",
          "N/A",
          "NEXUS OS Game Center",
          "Neural Trading Suite (Sammel-Terminal)",
          "NexusAI Gaming",
          "NexusAI Gaming Hub",
          "Nostalgische Chatbot-Anwendungen",
          "OPEN-BB Trading Suite",
          "ORBITRON",
          "Open Trading Nasdaq 100\"-Familie",
          "Orbitron CRM",
          "Orbitron Calculator Suite",
          "Pokémon Kartenspiel",
          "Reisefuehrer",
          "Religioes",
          "Retro-Spiele",
          "Satellitenverfolgung",
          "Schach-Apps",
          "Social Media Tools",
          "Sonstiges",
          "Sprachlernplattform",
          "Sudoku-Lösungswerkzeuge",
          "TI-AI Terminal Calculator",
          "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
          "Trading-Tools",
          "Trend Rider / Gemini-OS Markov-Familie",
          "VASP-Vermögensaufbau",
          "Vaulty",
          "Versicherungsmathematik",
          "Webentwicklung",
          "Wetter-Apps",
          "Wetter-Datenfeeds",
          "Wetter-Tools",
          "XETRA-NFT-Auktionen",
          "Xtrackers-Terminal-Familie",
          "ZP10 English Prüfungs-App",
          "unabhaengig (API-Test-Snippet)",
          "unabhaengig (Frankfurter-API-Variante)",
          "unabhaengig (Prompt-Generator-Prototyp)",
          "unabhaengig (Standalone-Rechner)",
          "unabhaengig (Standalone-Utility)",
          "unbekannt",
          "unbekannt (Blockchain-Advisory-Einzelstueck)",
          "unbekannt (Einzeltool)",
          "unbekannt (Einzeltool, Zwilling: broker-ai-neural-pro-og2)",
          "unbekannt (Fun-Trading-Terminal-Einzelstueck)",
          "unbekannt (Quantum-Terminal-Einzelstueck)",
          "unbekannt (generischer Claude-Chat-Client)",
          "unbekannt (vermutlich DVAG-Investment-Audio-Serie)"
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            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0001",
            "title": "0-VOLUMEN — Quant Trading Suite",
            "project": "0-VOLUMEN",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "Tailwind CSS",
              "Canvas/Chart-JS"
            ],
            "tags": [
              "quant",
              "trading",
              "indikatoren",
              "ml",
              "optionen",
              "portfolio",
              "static",
              "lernwerkzeug"
            ],
            "status": "production-ready",
            "overview": "Eine kuratierte Sammlung von 29 eigenstaendigen, statischen HTML-Prototypen zu Volumen-Indikatoren, Regime-/ML-Erkennung, Optionspreismodellen und einem mehrstufigen Portfolio/Index-Engine-Workflow. Ein zentrales `index.html`-Portal verlinkt alle Module; ein Flagship `MEGA-VOLUME.html` konsolidiert die 19 Volumen-/Regime-/Options-Module in einer gemeinsamen Sidebar-App. Rein clientseitige Lern-/Demo-Tools ohne echte Marktdaten-API.",
            "elevator_pitch": "29 geprüfte Quant-Trading-Tools — von Volumenindikatoren über ML-Regime-Erkennung bis Optionsmodelle — in einem Portal, komplett clientseitig, keine Serverkosten.",
            "target_audience": "Quant-/Trading-Lernende, Finance-Bootcamps, Trading-Bildungsanbieter als White-Label-Kursmaterial.",
            "replit_md_path": "0-VOLUMEN\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0002",
            "title": "1agames — NEURAL Games Collection",
            "project": "1agames",
            "category": "Games",
            "cluster": "Games",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "Vanilla HTML",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "games",
              "arcade",
              "boardgames",
              "html5",
              "static",
              "neural-branding",
              "fintech-crossover",
              "cyberpunk"
            ],
            "status": "production-ready",
            "overview": "Eine Sammlung von 49 eigenstaendigen HTML-Spielen/-Demos unter durchgaengigem \"NEURAL\"-Branding (cyberpunk/terminal-artig). Jede Datei ist ein komplett unabhaengiges Spiel ohne gemeinsames Framework; verbunden nur ueber `NEURAL-GAMES.html` als Hub. Enthaelt neben klassischen Brett-/Arcade-Spielen auch zwei Fintech-Crossover-Titel, die die Naehe zum Genitus/DOMVS-AVREA-Oekosystem des Autors zeigen.",
            "elevator_pitch": "49 spielbare Browser-Spiele im einheitlichen Neon-Cyberpunk-Look — von Tic-Tac-Toe bis Boersen-Ticker — jedes Spiel eine einzelne HTML-Datei, sofort spielbar ohne Installation.",
            "target_audience": "Portfolio-/Demo-Zwecke, Arcade-Fans, potenzielle Lizenznehmer fuer White-Label-Mini-Games, Fintech-Marketing (Gamification).",
            "replit_md_path": "1agames\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0003",
            "title": "Genitus Inc. - AI Agency Website (agency)",
            "project": "agency",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "Tailwind CDN",
              "Vanilla JS"
            ],
            "tags": [
              "landing-page",
              "ai-agency",
              "lead-generation",
              "bilingual",
              "calendly",
              "genitus"
            ],
            "status": "production-ready",
            "overview": "Bilinguale statische AI-Agentur-Website fuer Genitus Inc. mit zwei Vollversionen: deutsche `index.html` (Navy-Blue & Gold, Inter-Font) und englische `english.html` (Dark Mode, Orbitron-Font, Gold & Cyan). Optimiert fuer High-Ticket-Conversion mit klaren CTAs und KI-generierten Bildern von Menschen, die von KI profitieren.",
            "elevator_pitch": "Eine zweisprachige, conversion-optimierte Landingpage, die Strategiegespraeche fuer KI-Beratung verkauft — mit 15 kontextspezifischen CTA-Varianten statt einer generischen.",
            "target_audience": "Unternehmen/Entscheider, die KI-Beratung/-Strategiesessions kaufen wollen; Vorlage fuer weitere Genitus-B2B-Angebote.",
            "replit_md_path": "agency\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0004",
            "title": "AIBondIntelligence — Genitus Inc. AI/Crypto Bonds Platform",
            "project": "AIBondIntelligence",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "TypeScript",
              "Vite",
              "Express",
              "OpenAI GPT-4o",
              "Zod"
            ],
            "tags": [
              "landing-page",
              "bonds",
              "crypto",
              "ai-image-generation",
              "react",
              "express",
              "marketing",
              "genitus"
            ],
            "status": "production-ready",
            "overview": "Marketing-/Investor-Landingpage-Projekt fuer \"Genitus Inc.\" (Marke Domvs Avrea O.P.N), das institutionelle Produkte \"AI Bond Alpha\", \"Crypto Bond Prime\" und \"Equity Bond Select\" bewirbt. Enthaelt mehrere Landingpage-Varianten (Fund-Performance-Charts, Profit-Participation-Zertifikate, eine eigenstaendige Standalone-Version) plus einen kleinen Express-Server mit KI-Bildgenerierung fuer Bond-Illustrationen.",
            "elevator_pitch": "Eine institutionelle Investor-Landingpage fuer KI-/Krypto-Bond-Produkte, mit KI-generierten Illustrationen statt Stock-Fotos.",
            "target_audience": "Institutionelle Investoren/Family Offices, die an \"AI Bond Alpha\", \"Crypto Bond Prime\" oder \"Equity Bond Select\" interessiert sind.",
            "replit_md_path": "AIBondIntelligence\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0005",
            "title": "AIInvestmentAnalyzer - LeDash AI Investment Dashboard",
            "project": "AIInvestmentAnalyzer",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "TypeScript",
              "Vite",
              "Node.js",
              "Express",
              "Google Charts",
              "EOD Historical Data API"
            ],
            "tags": [
              "investment-dashboard",
              "baskets",
              "google-charts",
              "mock-data",
              "crypto",
              "dax-aktien",
              "genussschein",
              "react-vite",
              "eod-api"
            ],
            "status": "prototype",
            "overview": "LeDash ist ein Investment-Dashboard zur Performance-Visualisierung KI-verwalteter Anlagekörbe (\"Baskets\") aus Krypto, DAX-Aktien, Indizes und Einzeltiteln. Es existieren zwei parallele Frontends mit unterschiedlichem Branding: ein React/Vite-Client unter dem Namen \"DOMVS AVREA O.P.N - Genussschein Tracker\" und eine eigenständige statische Seite `LeDash.html` unter dem Namen \"LeDash - AI Investment Dashboard\". Kernidee: mehrere vordefinierte Fonds/Baskets werden als Flächendiagramme (Google Charts) mit prozentualer Wertentwicklung seit Jahresbeginn dargestellt.",
            "elevator_pitch": "LeDash zeigt in Echtzeit-Flächendiagrammen, wie neun KI-verwaltete Anlagekörbe aus Krypto, DAX-Aktien, Indizes und Einzeltiteln seit Jahresbeginn performen - auf einen Blick vergleichbar mit einer normierten Genussschein-Quote.",
            "target_audience": "Interessenten und Bestandskunden der Domvs Avrea O.P.N Genussschein-Produkte sowie Vermögensberater, die Performance-Transparenz gegenüber Kunden demonstrieren wollen.",
            "replit_md_path": "AIInvestmentAnalyzer\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0006",
            "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
            "project": "AILanguageExplorer",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "PostgreSQL",
              "Drizzle ORM",
              "OpenAI GPT-4o",
              "Replit Auth"
            ],
            "tags": [
              "ki-assistent",
              "crm",
              "kalender",
              "kontakte",
              "chat",
              "corporate",
              "react"
            ],
            "status": "production-ready",
            "overview": "Full-Stack-TypeScript-App: ein KI-Assistent, der Kalender, Kontakte und Websuche verwaltet, mit professionellem dunklem Corporate-UI unter der Marke \"Genius Inc Corporate Assistant\". Kombiniert Chat-Interface, CRM-artige Kontaktverwaltung, Kalendersynchronisation und OpenAI-gestützte Intent-Analyse.",
            "elevator_pitch": "Ein Corporate-KI-Assistent, der Kalender, Kontakte und Websuche in einem Chat-Interface vereint — mit echtem CRM-Import statt Mock-Daten.",
            "target_audience": "Corporate-Teams/Vertriebsassistenz, die einen zentralen KI-gestützten Arbeitsplatz für Kontakt-/Terminmanagement suchen.",
            "replit_md_path": "AILanguageExplorer\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0007",
            "title": "AiSketchCoder — Drawing App with Code Generation",
            "project": "AiSketchCoder",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "TypeScript",
              "Express",
              "PostgreSQL",
              "Drizzle"
            ],
            "tags": [
              "drawing-app",
              "canvas",
              "code-generation-stub",
              "react",
              "express",
              "creative-tool"
            ],
            "status": "prototype",
            "overview": "React-basierte Zeichen-App mit geplanter (aber nicht implementierter) Code-Generierung aus Zeichnungen. Bietet ein Canvas mit Zeichenwerkzeugen (Pinsel, Stift, Radierer, Rechteck, Kreis, Text), ein Tool-Panel und ein Code-Generation-Panel, das aktuell nur ein leeres Textfeld fuer Copy/Download bereitstellt.",
            "elevator_pitch": "Zeichne eine UI-Skizze, exportiere sie - die Code-Generierung ist als naechster Schritt vorbereitet, aber noch nicht live.",
            "target_audience": "Designer/Entwickler, die schnelle UI-Skizzen erstellen wollen (Code-Gen-Feature aktuell noch Stub - ehrlich kommunizieren statt zu ueberversprechen).",
            "replit_md_path": "AiSketchCoder\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0008",
            "title": "aldi — ALDI MEGA-PLATTFORM Project",
            "project": "aldi",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS/JS",
              "Bootstrap",
              "Chart.js/D3.js",
              "iframe-slideshow"
            ],
            "tags": [
              "fintech-concept",
              "slideshow",
              "presentation",
              "pricing-engine",
              "options-pricing",
              "prototype-suite"
            ],
            "status": "production-ready",
            "overview": "Visionaeres FinTech-Konzept, das reale Supermarkt-Assets (Lebensmittel) in den Finanzmarkt integriert - entwickelt als Prototyp fuer eine Infosys-Praesentation. `index.html` ist ein hochentwickeltes Fullscreen-Slideshow-Dashboard, das mehrere Einzel-Prototypen (Pricing-Engine, Trading-Hub, Optionspreis-Modell) zu einer Praesentation vereint.",
            "elevator_pitch": "Was, wenn Aldi-Preise wie Aktienkurse gehandelt wuerden? Eine vollstaendige Prototyp-Suite von dynamischer Preisbildung bis Optionshandel auf Lebensmittel.",
            "target_audience": "Ursprünglich fuer eine Infosys-Praesentation entwickelt - passt fuer Innovationsabteilungen im Retail-/Fintech-Bereich, die ein anschauliches \"Was-waere-wenn\"-Konzept brauchen.",
            "replit_md_path": "aldi\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0009",
            "title": "ANGELUS · Neural Liturgical Bell",
            "project": "ANGELUS",
            "category": "Religioes",
            "cluster": "Religioes",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML",
              "CSS",
              "Python http.server"
            ],
            "tags": [
              "catholic",
              "prayer",
              "bell",
              "static",
              "orbitron",
              "liturgical",
              "angelus",
              "pwa-ish"
            ],
            "status": "production-ready",
            "overview": "Eine einzelne, in sich geschlossene Web-App \"Angelus Domini · Neural Liturgical Bell\" — ein digitales katholisches Gebetsglocken-Tool fuer Angelus und Stundengebet, betitelt \"SYS · LITURGICAL CORE v2.6\" mit Untertitel \"Neural Bell · Angelus & Stundengebet\". Zeigt lokale Uhrzeit/Datum, Online/Offline-Status und ein \"Bell Control\"-Panel.",
            "elevator_pitch": "Eine digitale Angelus-Glocke fuers Handy — zeigt Zeit und Status und schlaegt die katholische Gebetsglocke, futuristisch gestylt statt kitschig-traditionell.",
            "target_audience": "Katholische Gemeinden/Pfarreien, private Andacht-Nutzer, Ergaenzung zum `kath-ki`-Oekosystem desselben Autors.",
            "replit_md_path": "ANGELUS\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0010",
            "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
            "project": "anwalt",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML/CSS",
              "Python (http.server/SimpleHTTPRequestHandler)",
              "kein Framework"
            ],
            "tags": [
              "legal-templates",
              "contracts",
              "nda",
              "gmbh",
              "c-corp",
              "dsgvo",
              "multi-jurisdiction",
              "static-site",
              "rechtsvorlagen",
              "startup-recht"
            ],
            "status": "production-ready",
            "overview": "Eine statische Bibliothek von 114 mehrsprachigen Rechtsdokument-Vorlagen (NDA, Arbeitsverträge, Startup/Equity, SaaS, IP, Datenschutz, Immobilien, Finance, Immigration u.a.) für die Jurisdiktionen Deutschland (GmbH), USA (C-Corp/Delaware), Kroatien (D.O.O.), Frankreich (SARL) und EU-Recht. Jede Vorlage ist eine eigenständige HTML-Seite mit `[Platzhalter]`-Feldern zum Ausfüllen, echten Gesetzeszitaten (BGB, GmbHG, DSGVO, USC, IRC, MarkenG etc.) und Print-Funktion. Ausgeliefert wird alles rein statisch aus `public/` über einen simplen Python-Dateiserver — es gibt **keinen** Flask-Server, obwohl ...",
            "elevator_pitch": "114 sofort einsatzbereite, mehrsprachige Rechtsdokument-Vorlagen für fünf Jurisdiktionen (DE/US/HR/FR/EU) mit echten Gesetzeszitaten — ausfüllen, drucken, fertig.",
            "target_audience": "Gründer, Startups, kleine Kanzleien, Freelancer und HR-Abteilungen, die Standardverträge ohne teure Anwaltsstunden brauchen.",
            "replit_md_path": "anwalt\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0011",
            "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
            "project": "Auction-Option",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML",
              "CSS",
              "Vanilla JS",
              "React 18 (CDN)",
              "Babel Standalone",
              "Tailwind CSS",
              "Chart.js"
            ],
            "tags": [
              "xetra",
              "auktionssimulator",
              "orderbook",
              "genussschein",
              "optionsrechner",
              "black-scholes",
              "greeks",
              "domvs-avrea",
              "simulation"
            ],
            "status": "production-ready",
            "overview": "Eine Sammlung aus zwei thematisch getrennten, aber im selben Repo lebenden Tool-Familien: (1) ein professioneller **XETRA-Auktions- und Orderbuch-Simulator** (Eröffnungsauktion mit Überhang-Logik, kontinuierlicher Handel, NFT-Höchstgebot, Simulation-Engine) und (2) eine vollständige **Vertriebs-/Marketing- und Rechtsdokument-Suite für Genussscheine** der \"Domvs Avrea O.P.N GmbH\" (Pitch-Decks, Verträge, Zertifikate, Terminal-Simulator, Performance-Dashboard) samt eigenständiger Chatbot-, Info- und Prompt-Hub-Seiten. Alle Seiten sind eigenständige, framework-lose bzw. React-per-CDN HTML-Dateien ...",
            "elevator_pitch": "Ein Live-Simulator für die XETRA-Eröffnungsauktion und den kontinuierlichen Handel, gebündelt mit der kompletten Vertriebs- und Rechtsdokument-Suite für Domvs Avrea Genussscheine - von Order-Matching bis Beteiligungsvertrag in einem Repo.",
            "target_audience": "Trading-Schulungen/Demo-Zwecke für die Auktionslogik sowie Vertriebsteams und Investoren, die die Genussschein-Produktwelt (Pitch, Vertrag, Zertifikat, Performance) präsentiert bekommen sollen.",
            "replit_md_path": "Auction-Option\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0012",
            "title": "AutoBotHub",
            "project": "AutoGenerationPro",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Vite",
              "Express",
              "TypeScript",
              "Drizzle-Zod",
              "TanStack Query"
            ],
            "tags": [
              "multi-bot",
              "chat",
              "codegen",
              "html-editor",
              "debate-bot",
              "proxy",
              "react"
            ],
            "status": "production-ready",
            "overview": "Multi-Bot-Generierungssystem mit fünf Tabs (Chat, Code, HTML-Editor, Template, Debate). Alle KI-Aufrufe laufen über eine einzige zentrale Backend-Proxy-Route, damit Modell/Provider zentral steuerbar bleiben.",
            "elevator_pitch": "Fünf KI-Bots in einer App — Chat, Codegenerierung, Live-HTML-Editor, Templates und ein Debate-Bot, der zwei KI-Positionen gegeneinander antreten lässt.",
            "target_audience": "Entwickler/Power-User, die verschiedene KI-Anwendungsfälle an einem Ort brauchen; als Showcase für zentrale AI-Proxy-Architektur.",
            "replit_md_path": "AutoGenerationPro\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0013",
            "title": "BLUEHOST — domusaurea.tech Archiv-Export",
            "project": "BLUEHOST",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "Tailwind CDN",
              "JSON-Katalog"
            ],
            "tags": [
              "archive",
              "catalog",
              "portal",
              "static",
              "fintech",
              "ai-chatbots",
              "dvag",
              "hub",
              "search"
            ],
            "status": "production-ready",
            "overview": "Kein einzelnes Produkt, sondern ein klassifiziertes Archiv-Portal der Website `domusaurea.tech`: 1616 HTML-Dateien, mit KI-Metadaten aus `BLUEHOST.csv` angereichert und in 14 thematische Kategorien sortiert. `index.html` ist der Navigations-Hub ueber das gesamte Archiv (Fintech-Tools, KI-Chatbots, DVAG/Versicherung, Immobilien, Spiele, Legal-Dokumente u.v.m.).",
            "elevator_pitch": "Ein durchsuchbares Archiv-Portal fuer 1616 fertige Web-Apps aus Jahren Projektarbeit — sortiert in 14 Kategorien, mit Live-Suche.",
            "target_audience": "Der Autor selbst (Wiederverwendung/Portfolio), potenzielle Investoren/Kaeufer die den Gesamtbestand sichten wollen, Entwickler die Bausteine wiederverwenden moechten.",
            "replit_md_path": "BLUEHOST\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0014",
            "title": "bluehost-export (GoldShield AI - Premium Financial Intelligence)",
            "project": "bluehost-export",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "PWA-Manifest"
            ],
            "tags": [
              "landingpage",
              "seo",
              "goldshield",
              "static",
              "pwa",
              "marketing",
              "fintech"
            ],
            "status": "production-ready",
            "overview": "Einzelner statischer Export-Ordner mit nur einer, aber sehr umfangreichen Datei (`index.html`, 5527 Zeilen): die Landingpage \"GoldShield AI - Premium Financial Intelligence\" von Genitus Inc. (Daniel Gereci, CEO), beworben unter `globalfintech.net`. Nahezu identisch mit dem Schwesterprojekt `GLOBALFINTECH`.",
            "elevator_pitch": "Die offizielle Marketing-Landingpage für GoldShield AI — KI-gestützte Finanzanalysen mit RSI/SMA/Bollinger-Bands, verpackt in einer SEO-optimierten Single-Page.",
            "target_audience": "Potenzielle GoldShield-AI-Kunden/-Trader, die über Suchmaschinen/Social-Media auf das Produkt stoßen; intern als Referenz-Snapshot für das Marketing-Team.",
            "replit_md_path": "bluehost-export\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0015",
            "title": "bluehost-stack-catalog",
            "project": "bluehost-stack-catalog",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "Python Crawler",
              "Markdown/JSON/CSV Export"
            ],
            "tags": [
              "catalog",
              "crawler",
              "meta-documentation",
              "inventory",
              "duplicates",
              "bluehost"
            ],
            "status": "production-ready",
            "overview": "Kein eigenstaendiges Web-Projekt, sondern ein generierter Referenz-Katalog ueber die Live-Seite `https://bluehost-stack.replit.app/`. Ein Crawler (`bluehost_stack_catalog.py`) geht alle verlinkten Eintraege ab, sammelt Metadaten (Name, Kategorie, URL, HTTP-Status, Beschreibung, Content-Type) und erzeugt JSON/CSV/Markdown-Exporte. Inhaltlich derselbe \"BLUEHOST-UPDATE\"-Bestand wie im `BLUEHOST`-Projekt: 173 kuratierte Dateien in 11 Kategorien.",
            "elevator_pitch": "Ein automatisierter Katalog-Crawler, der 1653 Web-Apps in einem strukturierten, durchsuchbaren Dokument zusammenfasst — inklusive Sicherheits- und Duplikat-Hinweisen, die sonst niemand haette.",
            "target_audience": "Der Autor selbst zur Bestandsverwaltung, technische Auditoren/Kaeufer, die einen grossen App-Bestand schnell bewerten muessen.",
            "replit_md_path": "bluehost-stack-catalog\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0016",
            "title": "BoostBrain2 — Claude AI Chat Application",
            "project": "BoostBrain2",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "TypeScript",
              "Express",
              "Anthropic Claude API",
              "OpenAI DALL-E",
              "PostgreSQL"
            ],
            "tags": [
              "chatbot",
              "claude",
              "multimodal",
              "streaming",
              "avatar-generation",
              "react",
              "express"
            ],
            "status": "production-ready",
            "overview": "Vollstaendige Claude-AI-Chat-Anwendung mit React/TypeScript-Frontend und Express/Node.js-Backend. Unterstuetzt multimodale Konversationen (Text + Bild), Echtzeit-Streaming-Antworten, anpassbare Chat-Einstellungen und Avatar-Personalisierung, in rosa/pastellfarbenem Theming.",
            "elevator_pitch": "Ein voll ausgestatteter Claude-Chat-Client mit Live-Streaming, Bild-Uploads und KI-generierten Avataren.",
            "target_audience": "Power-User, die mehrere Claude-Modelle im Vergleich nutzen wollen, mit persoenlicher Avatar-Anpassung.",
            "replit_md_path": "BoostBrain2\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0017",
            "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
            "project": "BrokerBuddy",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "React",
              "TypeScript",
              "Vite",
              "Node.js",
              "Express",
              "Bootstrap 5",
              "Lightweight Charts",
              "html2canvas"
            ],
            "tags": [
              "trading-signale",
              "sma-crossover",
              "long-short",
              "comic-ui",
              "lightweight-charts",
              "proxy-api",
              "trade-empfehlung"
            ],
            "status": "production-ready",
            "overview": "Ein Trading-Empfehlungs-Werkzeug, das über einen fest verdrahteten externen Proxy (`https://theserver-open-ai.replit.app`) EOD- und Echtzeit-Kursdaten abruft und daraus einfache regelbasierte Long/Short-Empfehlungen mit Ziel-/Stop-Kursen ableitet. Es existieren drei Varianten desselben Grundkonzepts unter unterschiedlichem Branding: die React-App \"Broker Bot Daniel.AI\", die eigenständige Seite \"L'Average AI Pro - Safe Cross Strategy Terminal\" (SMA-Crossover-Fokus) und \"BROKER AI - Standalone\" (Comic-Karten-UI mit Tailwind).",
            "elevator_pitch": "Symbol eingeben, in Sekunden eine Long/Short-Empfehlung mit Ziel- und Stop-Kurs erhalten - BrokerBuddy liefert SMA-Crossover- und Preisvergleichs-Signale für DAX, Dow Jones, Krypto und mehr.",
            "target_audience": "Privatanleger/Trader, die schnelle, regelbasierte Handelssignale ohne eigene Analyse wollen; auch als Demo-Tool für \"AI\"-gestützte Trading-Assistenten positionierbar.",
            "replit_md_path": "BrokerBuddy\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0018",
            "title": "Job Search Application (CareerCrafter)",
            "project": "CareerCrafter",
            "category": "Bildung-Karriere",
            "cluster": "Bildung-Karriere",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "JSearch API",
              "Tailwind"
            ],
            "tags": [
              "job-search",
              "react",
              "express",
              "api-integration",
              "pagination",
              "bookmarks"
            ],
            "status": "prototype",
            "overview": "Mobile-first Job-Suche-App mit React (Vite) Frontend und Express-Backend, die Echtzeit-Jobangebote ueber die JSearch API (RapidAPI) liefert. Zusaetzlich existiert `FINALjobs.html` als eigenstaendige statische Vorab-/Backup-Version.",
            "elevator_pitch": "Eine mobile-first Jobsuche mit Live-Daten aus tausenden Stellenanzeigen, inkl. Merkliste und Suchverlauf.",
            "target_audience": "Jobsuchende, Recruiting-Startups als White-Label-Basis.",
            "replit_md_path": "CareerCrafter\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0019",
            "title": "ChartStyler — PeakValleyAI Stock Analysis",
            "project": "ChartStyler",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "Python",
              "Flask",
              "Flask-SQLAlchemy"
            ],
            "tags": [
              "stock-analysis",
              "flask",
              "peak-valley",
              "incomplete-model",
              "dashboard"
            ],
            "status": "prototype",
            "overview": "Flask-Web-App \"PeakValleyAI - Stock Analysis\" zur Aktienanalyse mit dunklem, gruen-akzentuiertem Finanz-Dashboard-Design. Enthaelt zusaetzlich eine eigenstaendige HTML-Standalone-Version (`PeakValleyAI_standalone.html`) ohne Flask-Backend.",
            "elevator_pitch": "Ein Flask-basiertes Aktienanalyse-Dashboard im dunklen Finanz-Look - aber die eigentliche Analyselogik ist aktuell nicht einsehbar.",
            "target_audience": "Vorlaeufig intern, bis das fehlende Datenmodell (`models.py`) nachbeschafft ist.",
            "replit_md_path": "ChartStyler\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0020",
            "title": "claude code export — Aktien / Börse / Trading Sammlung",
            "project": "claude code export",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "Static HTML/CSS/JS",
              "Chart.js",
              "Node.js (eod-proxy.js",
              "neural-api.js)"
            ],
            "tags": [
              "trading-tools",
              "fintech",
              "portfolio-analyse",
              "algo-trading",
              "interactive-brokers",
              "internationale-boersen",
              "neural-fintech",
              "chartjs"
            ],
            "status": "prototype",
            "overview": "Gefilterter Export von 156 aktien-, börsen-, trading-, portfolio-, markt- und finanzbezogenen Dateien aus einem größeren Bestand (laut `EXPORT-MANIFEST.txt`, \"CLAUDE CODE EXPORT — AKTIEN / BÖRSE / TRADING\"), Ordnerstruktur des Ursprungs bleibt erhalten. Kein einzelnes Produkt, sondern eine Sammlung dutzender eigenständiger statischer Trading-/Analyse-/Portfolio-Tools aus derselben \"NEURAL\"/\"GENITUS\"-Fintech-Toolfamilie, plus ein internationaler Börsenindex-Bereich mit ~55 länder-/marktspezifischen Seiten und eine ältere Parallel-Sammlung (`1aBOT/Fintech/`).",
            "elevator_pitch": "Eine ganze Sammlung von 156 eigenständigen Trading-, Analyse- und Portfolio-Tools aus der NEURAL/GENITUS-Fintech-Familie — von Algo-Trading-Bot bis internationale Börsenindizes.",
            "target_audience": "Trader, Fintech-Enthusiasten und Portfolio-Manager sowie das Genitus/DOMVS-AVREA-Ökosystem selbst als Tool-Baukasten für Cross-Promotion.",
            "replit_md_path": "claude code export\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0021",
            "title": "CLAUDE-PWA — Neutral PWA Master Template",
            "project": "CLAUDE-PWA",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Vanilla PWA Shell",
              "Node.js CLI-Skripte",
              "JSON-Schema"
            ],
            "tags": [
              "template",
              "pwa",
              "generator",
              "tooling",
              "meta-projekt",
              "branding",
              "cli"
            ],
            "status": "production-ready",
            "overview": "Kein Endprodukt, sondern ein wiederverwendbares Meta-Template (\"neutral master template for turning an existing web stack into installable, brandable PWAs\"), das zusammen mit App-Briefing, Quellmodulen, Marken-Assets und Zugriffsrichtlinie an einen Coding-Agenten übergeben wird, um daraus eine eigenständige PWA zu erzeugen. Bewusst unabhängig von den anderen Projekten (Orbitron, Genitus) gehalten.",
            "elevator_pitch": "Ein neutrales PWA-Baukasten-Template — App-Config + Module + Branding + Zugriffsrichtlinie rein, fertige installierbare PWA raus.",
            "target_audience": "Interne Entwicklungsteams/Agenten, die wiederholt neue gebrandete PWAs aus bestehenden Web-Stacks bauen; Agentur-Kontext mit mehreren Kundenprojekten.",
            "replit_md_path": "CLAUDE-PWA\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0022",
            "title": "NEXUS Command — RTS",
            "project": "CPlusPlus",
            "category": "Games",
            "cluster": "Games",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "TypeScript",
              "Vite",
              "Canvas2D"
            ],
            "tags": [
              "rts",
              "game",
              "strategy",
              "pathfinding",
              "ai",
              "typescript",
              "canvas",
              "starcraft-like"
            ],
            "status": "production-ready",
            "overview": "Browser-basiertes StarCraft-2-artiges Echtzeit-Strategiespiel (RTS) in TypeScript + Vite + Canvas2D. Nach eigenem Changelog ein Major-Refactor eines fruehen Prototyps (Diagonal-Speed-Bug, kein Pathfinding, `alert()`-UI) hin zu einer vollstaendigen Engine mit A*-Pathfinding, Fog of War, Partikelsystem und Smart-AI-Gegner.",
            "elevator_pitch": "Ein komplettes Echtzeit-Strategiespiel im StarCraft-Stil, das direkt im Browser laeuft — mit A*-KI-Gegner, Fog of War und echtem prozeduralem Sound.",
            "target_audience": "Browser-Game-Portale, Portfolio-Demo fuer Gameplay-Programmierung, Hobby-Spieler.",
            "replit_md_path": "CPlusPlus\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0023",
            "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
            "project": "CreditWall",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "Flask",
              "Python 3.11",
              "PostgreSQL",
              "SQLAlchemy",
              "Tailwind CSS",
              "Stripe",
              "Leonardo.ai API",
              "Gunicorn",
              "Vanilla JS"
            ],
            "tags": [
              "ai-image-generation",
              "saas",
              "credit-system",
              "stripe-billing",
              "leonardo-ai",
              "royal-luxury-design",
              "flask",
              "image-gallery"
            ],
            "status": "production-ready",
            "overview": "CreditWall ist eine Flask/PostgreSQL-SaaS-App zur KI-Bildgenerierung über die Leonardo.ai-API mit einem Credit-basierten Bezahlmodell (Stripe-Checkout). Der Browser-Tab heißt \"AI Image Forge Ultimate\", das Produkt-Branding im Header (`<h1 class=\"app-title\">`) lautet jedoch **\"L'Imagia\"** — beide Namen sind im Quellcode real vorhanden und sollten im Rebuild konsistent gewählt/gemappt werden. Neue Nutzer erhalten 10 Gratis-Credits, generierte Bilder laufen nach 14 Tagen automatisch ab (DB-Cleanup-Job).",
            "elevator_pitch": "L'Imagia\" ist ein Pay-per-Image AI-Bildgenerator im königlichen Luxus-Look — Nutzer kaufen Credits, geben einen Prompt ein und erhalten in Sekunden bis zu 8 KI-Bilder gleichzeitig.",
            "target_audience": "Content-Creator, Marketer, Social-Media-Manager und Hobby-Designer, die ohne eigenes Leonardo.ai-Abo schnell hochwertige AI-Bilder brauchen; auch als White-Label-SaaS-Vorlage für andere Bild-APIs geeignet.",
            "replit_md_path": "CreditWall\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0024",
            "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
            "project": "CRYPTO-TANKSTELLE",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS/JS",
              "Chart.js",
              "EOD-Proxy"
            ],
            "tags": [
              "crypto",
              "dashboard",
              "sma",
              "markov",
              "knn",
              "hmm",
              "scanner",
              "static"
            ],
            "status": "production-ready",
            "overview": "Multi-Page-Crypto-Dashboard-Suite, die Echtzeit-USD-Preise und historische EOD-Daten ueber einen eigenen EOD-Proxy abruft. Jede Seite ist eine eigenstaendige statische HTML-Datei im gemeinsamen dunklen Cyberpunk-Design (Orbitron + Share Tech Mono), mit gemeinsamer Fetch-/SMA-Logik.",
            "elevator_pitch": "Ein komplettes Krypto-Analyse-Cockpit mit 1.900+ Coins, von einfachen SMA-Signalen bis zu Markov-/HMM-Regime-Erkennung.",
            "target_audience": "Krypto-Trader, die ueber einfache Preis-Charts hinaus quantitative Signale (SMA/RSI/Markov/KNN/HMM) wollen.",
            "replit_md_path": "CRYPTO-TANKSTELLE\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0025",
            "title": "GENITUS // Quantum Crypto Orbitron (Archiv-Vorgängerversion)",
            "project": "CRYPTO-TANKSTELLE-archiv-20260714",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML",
              "CSS",
              "JavaScript",
              "Chart.js",
              "EOD-Proxy-API"
            ],
            "tags": [
              "crypto",
              "dashboard",
              "orbitron",
              "cyberpunk",
              "archiv",
              "watchlist",
              "RSI-bot",
              "korrelationsscanner"
            ],
            "status": "archiv-duplikat",
            "overview": "Archivierte Vorgängerversion (Stand 2026-07-14) des Projekts `CRYPTO-TANKSTELLE`: ein Multi-Page Crypto-Dashboard mit EOD-Proxy-Datenanbindung, 40 kuratierten Coins in vier Tiers (Majors/Core/Gems/Moonshots), einer erweiterten `cc-liste.html` mit 190 Coins, einem RSI(14)-Papertrading-Bot (`RSI.html`) und einem Korrelations-/Outlier-Scanner (`korrelation.html`). Dark-Cyberpunk-Design mit Orbitron + Share Tech Mono. Quelle enthält eine eigene, funktionierende Alt-`replit.md` (siehe `CRYPTO-TANKSTELLE\\replit.md`), die bereits ausreichend Struktur- und Feature-Dokumentation lieferte; diese Archivk...",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "CRYPTO-TANKSTELLE-archiv-20260714\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0026",
            "title": "CRYPTO-TANKSTELLE (archivierte Version, Stand 2026-07-15)",
            "project": "CRYPTO-TANKSTELLE-archiv-20260715",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "EOD-Proxy"
            ],
            "tags": [
              "archiv",
              "duplikat",
              "krypto",
              "trading",
              "dashboard",
              "siehe-kanonisch"
            ],
            "status": "archiv-duplikat",
            "overview": "",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "CRYPTO-TANKSTELLE-archiv-20260715\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0027",
            "title": "CryptoTraderPro — FinTech Startup EOD Proxy",
            "project": "CryptoTraderPro",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "React",
              "Vite",
              "Express",
              "TypeScript",
              "EODHD API"
            ],
            "tags": [
              "krypto",
              "eod-proxy",
              "react",
              "express",
              "prototype",
              "trading"
            ],
            "status": "prototype",
            "overview": "Ein schlankes Fintech-Projekt: React-Frontend-Gerüst (Titel \"FinTech Startup\", Inhalt weitgehend generisch/leer) plus Express-Backend, das als Proxy vor die EODHD-API geschaltet ist. Enthält zusätzlich drei Referenz-HTML-Tools aus dem BLUEHOST-Archiv als Ausgangsmaterial für die Krypto-Funktionalität.",
            "elevator_pitch": "Ein EODHD-API-Proxy-Backend für Krypto-Kursdaten, mit fertigen Referenz-UI-Layouts aus dem BLUEHOST-Archiv als Ausgangsmaterial.",
            "target_audience": "Intern als Entwicklungs-Zwischenstand; noch nicht endkundenreif.",
            "replit_md_path": "CryptoTraderPro\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0028",
            "title": "Cum-Ex & Cum-Cum Educational Guide (cumex)",
            "project": "cumex",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "CSS"
            ],
            "tags": [
              "bildung",
              "steuerrecht",
              "e-book",
              "static",
              "aufklaerung",
              "finanzsysteme",
              "deutsch"
            ],
            "status": "production-ready",
            "overview": "Statische Bildungswebsite, die die Cum-Ex- und Cum-Cum-Steuerschemata in einfacher deutscher Sprache erklärt — Grundlagen (Aktien, Dividenden, Kapitalertragsteuer) bis zu den beiden Steuerschemata, die in Deutschland ca. 40 Milliarden Euro Schaden verursachten.",
            "elevator_pitch": "Eine verständliche Erklärseite, die den größten Steuerskandal Deutschlands (Cum-Ex/Cum-Cum, ~40 Mrd. € Schaden) Schritt für Schritt von den Grundlagen bis zum Mechanismus erklärt.",
            "target_audience": "Bildungseinrichtungen/Journalismus-Ausbildung, interessierte Laien ohne Finanz-Vorwissen, Aufklärungs-/NGO-Kontexte.",
            "replit_md_path": "cumex\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0029",
            "title": "BATCH PROCESSOR — Mistral Batch API Interface",
            "project": "DABATCHFORREAL",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Flask",
              "Mistral Batch API",
              "JSZip"
            ],
            "tags": [
              "batch-processing",
              "mistral",
              "ai",
              "cost-saving",
              "flask",
              "jsonl"
            ],
            "status": "production-ready",
            "overview": "Web-Interface zum Verarbeiten mehrerer Prompts ueber Mistral AIs **Batch API** (nicht die Completions API), mit Flask-Backend fuer Job-Erstellung, Status-Polling und Ergebnisabruf — laut eigener Doku 50% guenstiger als die reguläre Completions API. Titel der App: \"⚡ BATCH PROCESSOR - Mistral AI Streaming Interface\".",
            "elevator_pitch": "Prompts im Batch statt einzeln an eine KI schicken — 50% guenstiger als normale Chat-API-Calls, mit Web-Interface statt Kommandozeile.",
            "target_audience": "Entwickler/Firmen mit hohem KI-API-Volumen, die Kosten sparen wollen.",
            "replit_md_path": "DABATCHFORREAL\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0030",
            "title": "Corporate App Gallery — Premium HTML5 Solutions",
            "project": "DaBATCH-JOB",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "Standalone HTML5",
              "Three.js",
              "Chart.js",
              "GSAP"
            ],
            "tags": [
              "corporate",
              "showcase",
              "deutsche-bank",
              "allianz",
              "news",
              "fintech-hub",
              "multi-app"
            ],
            "status": "prototype",
            "overview": "Sammlung von 20+ eigenstaendigen, framework-losen HTML5-Corporate-Apps (Deutsche Bank, Allianz, Die Zeit, DOMVS AVREA Fintech Hub u.a.), die aus urspruenglichen Batch-generierten Prototypen zu produktionsreifen Websites weiterentwickelt werden. Jede App ist eine Single-File-HTML mit Inline-CSS/JS, Libraries nur via CDN (Three.js, Chart.js, GSAP).",
            "elevator_pitch": "20+ fertige Corporate-Demo-Websites fuer grosse Marken (Deutsche Bank, Allianz, Die Zeit) — als Beweis fuer Web-Entwicklungs-Skills auf Konzernniveau.",
            "target_audience": "Agenturen/Freelancer als Portfolio-Beweis, potenzielle Corporate-Kunden zur Inspiration.",
            "replit_md_path": "DaBATCH-JOB\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0031",
            "title": "Corporate MVPs (daBATCH-job-runde3)",
            "project": "daBATCH-job-runde3",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "TypeScript",
              "Vite",
              "pnpm Workspaces",
              "Turbo",
              "Mapbox GL"
            ],
            "tags": [
              "corporate-mvp",
              "monorepo",
              "adidas",
              "siemens",
              "lufthansa",
              "mercedes",
              "showcase"
            ],
            "status": "production-ready",
            "overview": "5 corporate-ready, produktionsreife Frontend-MVPs, transformiert aus HTML-Prototypen: Adidas (E-Commerce), Siemens (IoT-Dashboard), Lufthansa (Travel-Plattform), DIE ZEIT (News), Mercedes-Benz (Connected Car). Monorepo mit pnpm Workspaces + Turbo, React 18 + TypeScript + Vite 5. Laut eigenem Status \"✅ PRODUCTION-READY\", Architect-Review bestanden (25.10.2025).",
            "elevator_pitch": "5 komplette Konzern-taugliche Frontend-Demos (Adidas, Siemens, Lufthansa, Zeit, Mercedes) in einem professionellen Monorepo — der Beweis, dass ein einzelnes Setup fuer fuenf komplett unterschiedliche Branchen funktioniert.",
            "target_audience": "Agenturen/Freelancer als Skill-Beweis fuer Enterprise-Frontend-Entwicklung, potenzielle Corporate-Kunden.",
            "replit_md_path": "daBATCH-job-runde3\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0032",
            "title": "dacasestudy — KI Power Index (KIP) Final Report 2025",
            "project": "dacasestudy",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Chart.js",
              "JavaScript"
            ],
            "tags": [
              "case-study",
              "report",
              "ai-metrics",
              "static-site",
              "chart.js",
              "kip-index",
              "benchmark"
            ],
            "status": "production-ready",
            "overview": "Statische Web-Analyse-Plattform, die KI-Faehigkeiten in menschlich nachvollziehbaren Groessen quantifiziert (inspiriert von James Watts Pferdestaerken-Metrik). Dokumentiert 10 Phasen des KI-gestuetzten Entwicklungswachstums (2023-2025) als Fallstudie/Report ueber Produktivitaetssteigerung durch KI-Tools.",
            "elevator_pitch": "Wie viel staerker macht dich KI wirklich? Der KI Power Index misst es in konkreten Vielfachen menschlicher Faehigkeit - mit 10 dokumentierten Entwicklungsphasen als Beweis.",
            "target_audience": "Tech-Entscheider, Investoren oder Blog-/Konferenz-Publikum, die einen datengetriebenen Nachweis fuer den Produktivitaetsgewinn durch KI-Tools (speziell Replit Agent & Co.) sehen wollen.",
            "replit_md_path": "dacasestudy\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0033",
            "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
            "project": "daniel",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML/CSS/JS",
              "Tailwind CSS (CDN)",
              "OpenAI GPT-4o-mini (externer Proxy)",
              "Leaflet.js",
              "Marked.js",
              "Font Awesome"
            ],
            "tags": [
              "dvag",
              "finanzberater",
              "ki-chatbot",
              "genitus",
              "landingpage",
              "multi-persona",
              "openai-proxy",
              "personal-branding"
            ],
            "status": "prototype",
            "overview": "Ein Bündel von statischen HTML-Einzelseiten (kein Build-System, kein Framework) rund um zwei Personas: **Daniel Gereci** – wahlweise als CEO/KI-Manager von **Genitus Inc.** (AI-Growth-Agentur) oder als **DVAG-Vermögensberater** in Düsseldorf – und seine Frau **Kerstin Gereci** (ebenfalls DVAG-Beraterin, Familienfokus). Jede Seite ist ein eigenständiges, vollständig gestyltes Landingpage-Dokument (Tailwind via CDN, Google Fonts, Font Awesome) mit eigenem Farb-Theme, das sich per Fetch-Aufruf an einen externen KI-Chat-Proxy (`theserver-open-ai.replit.app`) andockt. Es gibt keinen gemeinsamen Hea...",
            "elevator_pitch": "Multi-Persona-Landingpage-Bündel für den DVAG-Berater Daniel Gereci (und Ehefrau Kerstin) mit eingebautem 24/7-KI-Finanzcoach-Chat.",
            "target_audience": "Privatkunden/Familien in Düsseldorf und Umgebung, die einen persönlichen Finanzberater suchen, sowie B2B-Leads für Genitus Inc./KI-Beratung.",
            "replit_md_path": "daniel\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0034",
            "title": "DataScienceToolkit — Le Marché AI Trading Dashboard",
            "project": "DataScienceToolkit",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Python",
              "Streamlit",
              "yfinance",
              "Plotly"
            ],
            "tags": [
              "streamlit",
              "technical-analysis",
              "rsi",
              "bollinger-bands",
              "dashboard"
            ],
            "status": "production-ready",
            "overview": "Streamlit-basiertes Finanz-Dashboard \"Le Marché AI\" mit Echtzeit-Aktienanalyse und Visualisierung. Bietet technische Analyse-Tools (RSI, gleitende Durchschnitte, Bollinger-Baender), interaktive Plotly-Charts und Datenverarbeitung ueber yfinance.",
            "elevator_pitch": "Ein Streamlit-Dashboard, das RSI/MA/Bollinger-Signale live aus echten Yahoo-Finance-Daten berechnet und visualisiert.",
            "target_audience": "Analysten/Trader, die schnelle technische Analyse ohne eigenes Python-Setup wollen.",
            "replit_md_path": "DataScienceToolkit\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0035",
            "title": "DeepDiveResearcher — Deep Research Bot",
            "project": "DeepDiveResearcher",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "React 18",
              "TypeScript",
              "Express",
              "WebSocket",
              "PostgreSQL",
              "Drizzle ORM",
              "Vite",
              "TanStack Query",
              "Shadcn/ui",
              "Radix UI",
              "OpenAI Deep Research API",
              "Orbitron"
            ],
            "tags": [
              "ai-research",
              "deep-research",
              "openai",
              "websocket",
              "realtime-progress",
              "orbitron",
              "dark-glassmorphism",
              "citations"
            ],
            "status": "production-ready",
            "overview": "DeepDiveResearcher ist eine Full-Stack-App (React + Express + WebSocket + Postgres/Drizzle), die OpenAI's Deep Research API (Modelle `o3-deep-research`, `o4-mini-deep-research`) kapselt: Nutzer stellen eine Rechercheanfrage, sehen den Fortschritt live über WebSocket und erhalten am Ende einen strukturierten Bericht mit Quellenangaben. Zusätzlich existieren zwei eigenständige, self-contained HTML-Exporte (`FINALdeep.html`, `NEURALdeep.html`) im futuristischen Dark-Glassmorphism-Look mit Orbitron-Font.",
            "elevator_pitch": "Ein \"KI-Rechercheassistent-Cockpit\" — Frage eingeben, Live-Fortschrittsbalken beobachten, fertigen Report mit Zitaten und Export (HTML/Markdown/LinkedIn-Share) erhalten.",
            "target_audience": "Analysten, Consultants, Studierende, Content-Teams und alle, die tiefgehende, quellenbelegte Recherchen ohne manuelles Multi-Tab-Googeln brauchen.",
            "replit_md_path": "DeepDiveResearcher\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0036",
            "title": "Deep Research Bibliothek (deepresearch)",
            "project": "deepresearch",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "Bootstrap 5",
              "Font Awesome"
            ],
            "tags": [
              "bibliothek",
              "research-reports",
              "ki-generiert",
              "katalog",
              "wissenssammlung",
              "static",
              "bootstrap"
            ],
            "status": "production-ready",
            "overview": "Statische HTML-Bibliothek mit über 150 deutschsprachigen \"Deep Research\"-Berichten zu einer sehr breiten Themenpalette, per Prompt-Vorlagen für ChatGPT/Claude generiert. Eine zentrale `index.html` dient als kategorisierter Katalog/Registry.",
            "elevator_pitch": "Eine kuratierte, kategorisierte Bibliothek von 150+ KI-generierten Tiefenrecherchen zu Themen von KI-Coding bis Quantenmechanik — durchsuchbar über ein zentrales Katalog-Portal.",
            "target_audience": "Wissensarbeiter/Researcher, die Themenüberblicke brauchen; Content-Ersteller, die Ausgangsmaterial für eigene Artikel suchen; interne Wissensdatenbank für das Genitus-Ökosystem.",
            "replit_md_path": "deepresearch\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0037",
            "title": "Admin Dashboard (deluxedatamanger)",
            "project": "deluxedatamanger",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "Drizzle",
              "Neon PostgreSQL",
              "TanStack Query"
            ],
            "tags": [
              "admin-dashboard",
              "cms",
              "file-manager",
              "crud",
              "database",
              "folder-explorer"
            ],
            "status": "production-ready",
            "overview": "Express + Drizzle (Neon Postgres) Backend mit React + TanStack Query + shadcn Frontend zur Verwaltung von Artikeln, Bildern, Suchanfragen, Files (HTML/Bilder), Site-Stats, Kategorien und Nutzern. Vollstaendiges CRUD-Admin-Tool mit Folder-Explorer, Datei-Vorschau und Auto-Sortier-Funktion.",
            "elevator_pitch": "Ein Enterprise-Admin-Dashboard, das Artikel, Bilder, Dateien und Nutzer in einer Oberflaeche verwaltet — inklusive einem Datei-Explorer mit Live-Vorschau und automatischer Sortierung.",
            "target_audience": "Betreiber content-lastiger Plattformen (z.B. das eigene `BLUEHOST`-Archiv oder `kath-ki`s eBook-Bibliothek), die eine zentrale Verwaltungsoberflaeche brauchen.",
            "replit_md_path": "deluxedatamanger\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0038",
            "title": "Genitus Inc - Denarius | Financial Analytics Dashboard",
            "project": "DenariusFinance",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Vite",
              "Express",
              "EOD Historical Data API"
            ],
            "tags": [
              "fintech",
              "dashboard",
              "long-short",
              "trading",
              "eod-api",
              "genitus",
              "react"
            ],
            "status": "production-ready",
            "overview": "Fintech-Dashboard \"Denarius\" für Marktanalyse und LONG/SHORT-Trading-Empfehlungen über sechs Assetklassen (Krypto, Aktien, Forex, Bonds, Commodities, Indizes). Marke \"Genitus Inc\". Existiert als React-App plus zwei parallele statische HTML-Standalone-Versionen (iterative Entwicklung).",
            "elevator_pitch": "Ein Multi-Asset-Dashboard, das über sechs Assetklassen hinweg automatisch LONG/SHORT-Empfehlungen aus echten EOD-Marktdaten berechnet.",
            "target_audience": "Privatanleger mit Multi-Asset-Interesse, Trading-Communities, als Widget für andere Genitus-Fintech-Produkte.",
            "replit_md_path": "DenariusFinance\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0039",
            "title": "Emergency & Diabetes Care Bot - LifeSaver",
            "project": "DiabetesGuardian",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "GPT-4o-mini",
              "TTS"
            ],
            "tags": [
              "medical",
              "emergency",
              "diabetes",
              "chatbot",
              "tts",
              "vision",
              "health"
            ],
            "status": "prototype",
            "overview": "KI-gestuetzte medizinische Assistenz-App mit zwei Modi: akute Notfallhilfe (\"emergency\") und Diabetes-Management-Beratung (\"diabetes\"). Titel: \"Emergency & Diabetes Care Bot - LifeSaver\". React/Express-Vollversion plus eine eigenstaendige statische Vorabversion `FINALsos.html`.",
            "elevator_pitch": "Ein KI-Chatbot, der in zwei Modi hilft — Notfall-Erste-Hilfe oder Diabetes-Management-Beratung, inklusive Bildanalyse und Sprachausgabe.",
            "target_audience": "Diabetiker und Angehoerige, Ersthelfer-Situationen, Gesundheits-Apps als Zusatzfeature.",
            "replit_md_path": "DiabetesGuardian\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0040",
            "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
            "project": "DVAGintranet",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML",
              "Tailwind CSS (Play-CDN)",
              "Alpine.js",
              "Bootstrap 5",
              "Google Fonts"
            ],
            "tags": [
              "dvag",
              "ebook",
              "karriereleitfaden",
              "vertriebsberater",
              "matrix-lore",
              "genitus",
              "finanznote",
              "eqf",
              "onboarding"
            ],
            "status": "production-ready",
            "overview": "Dieses Projekt enthält zwei eigenständige, deutschsprachige Single-File-HTML-E-Books für das DVAG-Umfeld (Deutsche Vermögensberatung AG): **\"DVAG E-Book 2025 – Karriereleitfaden\"** (`index.html`, 41 Kapitel + Epilog, ~5.900 Zeilen) und **\"CODE GENESIS: Der GENITOR und die Matrix\"** (`matrix-ebook.html`, 10 Kapitel, ~5.000 Zeilen). Ersteres ist ein vollständiges Onboarding-, Trainings- und Nachschlagewerk für DVAG-Vermögensberater (von \"First Steps\" bis Direktionsleiter-Vision 2030), letzteres ist eine fiktionale Sci-Fi/Matrix-Erzählung mit religiösen Motiven, die die Marke **Genitor / Genitus*...",
            "elevator_pitch": "Zwei komplette, druckfertige Single-File-E-Books für die DVAG-Welt: ein 41-Kapitel-Karriereleitfaden für Vermögensberater und eine Matrix-inspirierte Markenerzählung für Genitus/Genitor - beide offline lesbar und direkt als PDF exportierbar.",
            "target_audience": "Neue und bestehende DVAG-Vermögensberater/Direktionsleiter (Onboarding, Coaching, Leadership) sowie Marketing-Zielgruppen der Genitus-Inc.-Marke, die die Matrix-Erzählung als Origin-Story konsumieren.",
            "replit_md_path": "DVAGintranet\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0041",
            "title": "DVAG FinanzExpert - AI-Powered Financial Advisory System",
            "project": "DVAGlanding",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "Tailwind CSS",
              "OpenAI GPT-4o-mini",
              "Whisper",
              "TTS"
            ],
            "tags": [
              "dvag",
              "finanzberatung",
              "ki-training",
              "crm",
              "sales-enablement",
              "static",
              "monolithisch"
            ],
            "status": "production-ready",
            "overview": "Umfassende AI-gestützte Finanzberatungs- und Trainingsplattform für DVAG-Berater (Deutsche Vermögensberatung): Gesprächssimulation, CRM, Wissensmanagement und Sales-Enablement in einer monolithischen HTML-App-Suite. Teil eines Ökosystems mit \"Advisor+\" (Premium), \"Basix\" (Basis-Simulator) und \"LeCRM\" (CRM+KI-Assistent).",
            "elevator_pitch": "Neun fertige DVAG-Trainingsmodule — von Gesprächssimulator über CRM bis Windows-Style-Premium-Portal — komplett KI-gestützt, in 24 Stunden AI-generiert.",
            "target_audience": "DVAG-Berater als tägliches Trainingswerkzeug, DVAG-Vertriebsleitung für White-Label-Rollout an Teams.",
            "replit_md_path": "DVAGlanding\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0042",
            "title": "DVAG-LEMIX — DVAG Financial Calculator Tools",
            "project": "DVAG-LEMIX",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML/CSS/JS",
              "Tailwind",
              "Bootstrap",
              "Materialize",
              "Chart.js",
              "EOD-Proxy"
            ],
            "tags": [
              "dvag",
              "financial-calculator",
              "etf",
              "mortgage",
              "debt-payoff",
              "estate-planning",
              "career"
            ],
            "status": "production-ready",
            "overview": "Production-ready Suite von 6 Finanzrechner-Tools fuer DVAG-Finanzberater mit DWS-Xtrackers-ETF-Integration und intelligenter historischer Analyse (5-Jahres-CAGR aus EOD-Daten). Alle 6 Tools sind eigenstaendige HTML-Dateien im Bloomberg-Dark-Theme.",
            "elevator_pitch": "6 fertige DVAG-Finanzrechner in einem Bloomberg-Dark-Design - von ETF-Sparplan bis Nachlass-Planung.",
            "target_audience": "DVAG-Finanzberater fuer Kundenberatungsgespraeche vor Ort.",
            "replit_md_path": "DVAG-LEMIX\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0043",
            "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
            "project": "dvag-test",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "Static HTML/CSS/JS",
              "Vanilla JavaScript",
              "Google Fonts (Orbitron)",
              "Font Awesome",
              "localStorage"
            ],
            "tags": [
              "dvag",
              "vba-ausbildung",
              "quiz",
              "cheatsheet",
              "akquise",
              "b2b-vertrieb",
              "provisionsrechner",
              "schulung"
            ],
            "status": "prototype",
            "overview": "Statisches HTML/CSS/JS-Bundle für die DVAG-Ausbildung zum Vermögensberater im Aufbau (VBA): ein Quiz-Cheatsheet-System mit 48–58 Prüfungsfragen aus 6–7 Fachkapiteln, ein komplettes Agenturleiter-Akquisematerial (Pitches, Wochenplan, Mind Map, 22-Schritte-Ablauf), fünf B2B-Firmenkunden-Guides sowie ein \"DVAG OS 1.1\" genannter Portal-Launcher (`index.html`), der alle Dateien – lokal und extern gehostet unter `domusaurea.tech` bzw. `dvag-test.replit.app` – als anklickbare Icon-Kacheln bündelt. Alle Inhalte sind auf Daniel Gereci (DVAG-Berater, Düsseldorf, 17 Jahre Erfahrung) personalisiert. Der e...",
            "elevator_pitch": "Komplettes DVAG-VBA-Ausbildungspaket — Prüfungscheatsheets, Akquise-Playbook und B2B-Firmenkundenmaterial in einem Portal gebündelt.",
            "target_audience": "DVAG-Berater im Aufbau (VBA), Agenturleiter und deren B2B-Firmenkundenteam.",
            "replit_md_path": "dvag-test\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0044",
            "title": "DVAG OS 1.1 - Financial Advisor Portal (dvao-os-1)",
            "project": "dvao-os-1",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "CSS3",
              "Font Awesome"
            ],
            "tags": [
              "dvag",
              "desktop-ui",
              "finanzberater",
              "glasmorphismus",
              "portal",
              "iframe",
              "static"
            ],
            "status": "prototype",
            "overview": "\"Desktop-OS\"-artiges Web-Portal für Finanzberater (DVAG-Bezug): simuliert eine Betriebssystem-Oberfläche (Desktop-Icons, Taskbar, Fullscreen-Overlay-Fenster) als Zugang zu Vertriebs-/Beratungsmaterial. Laut eigenem Abschlussbericht \"S+ TIER / Status: Production Ready\" bewertet — allerdings mit zwei leeren Platzhalter-Unterordnern.",
            "elevator_pitch": "Ein Betriebssystem-artiges Desktop-Portal, das 40+ DVAG-Vertriebsressourcen (Slides, B2B-Material, Provisionsrechner) hinter einer futuristischen Kommandozentrale bündelt.",
            "target_audience": "DVAG-Finanzberater als tägliches Arbeits-Cockpit, DVAG-Vertriebsleitung für White-Label-Rollout.",
            "replit_md_path": "dvao-os-1\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0045",
            "title": "DVAG Investment Strategies for Beginners (ebookdvga)",
            "project": "ebookdvga",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "Tailwind CDN",
              "Alpine.js"
            ],
            "tags": [
              "ebook",
              "dvag",
              "investment-education",
              "tailwind",
              "alpine",
              "single-page",
              "german"
            ],
            "status": "production-ready",
            "overview": "Deutschsprachige Investment-Strategie-Bildungs-eBook-App fuer Einsteiger, erstellt fuer DVAG (Deutsche Vermoegensberatung). Moderne produktionsreife Single-Page-Website mit 20 umfassenden Lernabschnitten zu Anlagegrundlagen, Strategien und Portfolio-Management, professionellem DVAG-Branding. Redesign Oktober 2025 auf Tailwind CSS + Alpine.js.",
            "elevator_pitch": "Ein komplettes, druckfertiges Investment-Lehrbuch fuer DVAG-Kunden — 20 Kapitel von Grundlagen bis Fallstudien, in einer einzigen HTML-Datei.",
            "target_audience": "DVAG-Berater als Kundenmaterial, Einsteiger-Anleger, die strukturiert Anlagewissen aufbauen wollen.",
            "replit_md_path": "ebookdvga\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0046",
            "title": "famer-und-jager — German Financial Education Ebook Library + HAUSMAISTER Saga",
            "project": "famer-und-jager",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Alpine.js",
              "SVG",
              "Python"
            ],
            "tags": [
              "ebook-library",
              "finance-education",
              "storytelling",
              "german",
              "tailwind",
              "cross-navigation"
            ],
            "status": "production-ready",
            "overview": "Umfassende deutschsprachige eBook-Bibliothek mit einer 12-Kapitel-Aufstiegsgeschichte (\"HAUSMAISTER: Vom Obdachlosen zum Millionaer\", ~14.000 Woerter) plus 6 Finanz-Fachbuechern (1.008 Kapitel gesamt: Trading-Psychologie, Investment, Trading-Strategien, Finanzgeschichte). Alle Buecher professionell mit Tailwind CSS + Alpine.js gestaltet, mit durchgaengiger Cross-Navigation.",
            "elevator_pitch": "Eine komplette Finanzbildungs-Bibliothek mit ueber 1.000 Kapiteln plus einer emotionalen 12-Kapitel-Aufstiegsgeschichte, alles cross-verlinkt und mobil nutzbar.",
            "target_audience": "Trading-/Finanz-Lernende, die strukturierte Fachinhalte suchen, sowie Leser, die sich per Storytelling (HAUSMAISTER-Saga) motivieren lassen wollen.",
            "replit_md_path": "famer-und-jager\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0047",
            "title": "FibonacciTrader - FiboTrader Pro / Fibonacci-Based Trading Signals Platform",
            "project": "FibonacciTrader",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML",
              "CSS",
              "Vanilla JS",
              "Node.js",
              "Express",
              "TypeScript",
              "EOD Historical Data API",
              "Yahoo Finance API"
            ],
            "tags": [
              "fibonacci",
              "retracement",
              "extension-levels",
              "trading-signale",
              "demo-simulation",
              "websocket-ungenutzt"
            ],
            "status": "prototype",
            "overview": "Eine Trading-Analyse-Plattform rund um Fibonacci-Retracements/-Extensions. Die eigenständige Vorab-Version `finalfibo.html` (\"FiboTrader Pro - Fibonacci Retracement Calculator\") berechnet aus High/Low-Werten eines Symbols klassische Fibonacci-Level und liefert dazu eine feste \"Goldman Sachs Trading Strategie\" mit Entry-/Risikoregeln. Die spätere React/Express-Version baut dasselbe Konzept zu einer vollen Plattform mit Symbolsuche, echten Marktdaten, Signalen, Alerts, Watchlist und Portfolio aus.",
            "elevator_pitch": "High/Low eingeben, sofort alle klassischen Fibonacci-Retracement- und Extension-Level berechnet bekommen - inklusive fertiger Entry-, Stop- und Risk-Management-Strategie.",
            "target_audience": "Trader, die technische Fibonacci-Analyse ohne manuelle Berechnung nutzen wollen; als Demo/Lehrmittel für Fibonacci-Trading-Konzepte geeignet.",
            "replit_md_path": "FibonacciTrader\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0048",
            "title": "Fintech - Sammlung statischer Trading/Fintech-Tools",
            "project": "Fintech",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "EOD Historical Data API",
              "Yahoo Finance API"
            ],
            "tags": [
              "fintech",
              "trading",
              "sammlung",
              "landingpages",
              "whitepaper",
              "genitus",
              "goldshield",
              "static"
            ],
            "status": "production-ready",
            "overview": "33 eigenständige statische HTML-Dateien rund um Trading, Finanzprodukte und KI-gestützte Marktanalyse — keine einzelne App, sondern eine Sammlung von Prototypen, Landingpages, Dashboards und Tools aus mehreren Replit-Sessions unter den Marken \"Genitus Inc.\", \"GoldShield\", \"DOMVS AVREA\" und \"NEURAL_*\". Kein gemeinsames Backend, jede Datei ist in sich geschlossen.",
            "elevator_pitch": "33 fertige Fintech-Tools und -Landingpages aus dem Genitus-Ökosystem — Trading-Dashboards, Whitepaper, Wertpapier-Prospekte, alles sofort nutzbar.",
            "target_audience": "Interner Fundus für neue Genitus-Produktideen; einzelne Seiten (z.B. Trading Journal, Robo-Advisor-Pitch) auch direkt endkundentauglich.",
            "replit_md_path": "Fintech\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0049",
            "title": "Forex Analytics Dashboard",
            "project": "ForexAnalyticsDashboard",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "Node.js",
              "Express",
              "React/Vite shell",
              "EOD API"
            ],
            "tags": [
              "forex",
              "dashboard",
              "eod-api",
              "intraday",
              "boilerplate",
              "incomplete"
            ],
            "status": "prototype",
            "overview": "Forex-/Marktdaten-Dashboard-Projekt mit sehr duennem Backend (im Wesentlichen Boilerplate mit einem funktionalen Endpunkt) und einer begleitenden, aber im Extrakt **beschaedigten** Standalone-HTML-Datei (`leglobal-aintraday.html`).",
            "elevator_pitch": "Ein Forex-Intraday-Dashboard mit Live-Kursanbindung an XETRA/Crypto-Symbole — aktuell aber nur als Fragment vorhanden, nicht demofertig.",
            "target_audience": "Intern/Entwickler-Team zur Fertigstellung; kein Endkunden-Pitch in diesem Zustand moeglich.",
            "replit_md_path": "ForexAnalyticsDashboard\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0050",
            "title": "free-programming-books-main",
            "project": "free-programming-books-main",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "F",
            "tech_stack": [
              "Markdown",
              "Jekyll/GitHub Pages",
              "static-content-repo"
            ],
            "tags": [
              "fremdes-repo",
              "open-source",
              "CC-BY-4.0",
              "programmierbuecher",
              "kein-eigenes-produkt",
              "referenzmaterial"
            ],
            "status": "dead-scaffold",
            "overview": "Geklontes Open-Source-Repository `EbookFoundation/free-programming-books` (CC BY 4.0) — eine kuratierte, mehrsprachige Liste kostenloser Programmier-Lernressourcen (Buecher, Kurse, Screencasts). Kein eigener App-Code, keine eigene Server-Logik, reines Dokumentations-/Content-Repo mit der Original-Ordnerstruktur (`books/`, `courses/`, `casts/`, `more/`, `docs/`).",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "free-programming-books-main\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0051",
            "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
            "project": "FUNandPROFIT",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML/CSS",
              "Tailwind CSS CDN",
              "Schema.org"
            ],
            "tags": [
              "corporate-website",
              "landing-page",
              "seo",
              "fintech-holding",
              "static",
              "marketing"
            ],
            "status": "production-ready",
            "overview": "Corporate-Marketing-Website fuer Domvs Avrea O.P.N GmbH, einen deutschen Anbieter institutioneller KI-Loesungen fuer Finanzdienstleistungen (KI-Beratung, algorithmischer Handel, Robo-Advisory, FinTech). Reine clientseitige statische Website ohne Backend, mit mehreren parallelen Design-Iterationen.",
            "elevator_pitch": "Die Corporate-Landingpage fuer eine KI-Fintech-Holding mit 6 Divisionen - SEO-optimiert und deployfertig.",
            "target_audience": "Institutionelle Investoren/Partner, die sich einen Ueberblick ueber das gesamte \"Genitus/Domvs Avrea\"-Portfolio verschaffen wollen.",
            "replit_md_path": "FUNandPROFIT\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0052",
            "title": "ORBITRON - Neural Games Hub (games)",
            "project": "games",
            "category": "Games",
            "cluster": "Games",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "PWA",
              "Font Awesome",
              "Vanilla JS"
            ],
            "tags": [
              "games",
              "portal",
              "pwa",
              "launcher",
              "iframe",
              "arcade",
              "casino",
              "entertainment"
            ],
            "status": "production-ready",
            "overview": "Installierbare (PWA-fähige) Spiele-Portal-Seite (\"Games Command Portal\"), fungiert als Sidebar-Launcher für eine große Zahl externer Browserspiele. Alle Spiele werden nicht lokal gehostet, sondern per Klick in Tabs/iframes von externen Replit-Apps nachgeladen.",
            "elevator_pitch": "Ein installierbares Spiele-Portal mit sieben Kategorien und dutzenden Titeln — von Arcade-Klassikern bis Trivia — alles über eine dunkle Neural-UI erreichbar.",
            "target_audience": "Endnutzer, die eine zentrale, installierbare Spielesammlung wollen; als Ökosystem-Baustein auch Cross-Promotion-Kanal für andere Genitus/Orbitron-Produkte.",
            "replit_md_path": "games\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0053",
            "title": "Gamma Studio Engine",
            "project": "GAMMA-APP",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Node.js",
              "Express",
              "Gamma API"
            ],
            "tags": [
              "api-proxy",
              "presentation-generation",
              "bulk-export",
              "pdf",
              "image-extraction",
              "internal-tool"
            ],
            "status": "production-ready",
            "overview": "Node/Express-Backend mit Single-Page-Frontend, das die externe Gamma-API (developers.gamma.app) vollstaendig kapselt: Praesentationen/Dokumente per Prompt/Template generieren, bestehende Decks als PDF/PPTX/PNG exportieren (einzeln oder als Bulk-ZIP bis 1000 Decks), Workspace-Metadaten verwalten und Analytics auswerten. Erstellt fuer \"Daniel Gereci (Genitus Inc / Domvs Avrea O.P.N GmbH)\".",
            "elevator_pitch": "Eine komplette Gamma-API-Kommandozentrale: Praesentationen generieren, in Bulk exportieren, Bilder aus PDFs extrahieren.",
            "target_audience": "Internes Team (Genitus/Domvs Avrea), das regelmaessig viele Gamma-Praesentationen erzeugt/exportiert.",
            "replit_md_path": "GAMMA-APP\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0054",
            "title": "GEMINI-OS // NEURAL-OS Agent Hub + EOD-Proxy Backend",
            "project": "GEMINI-OS",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "Node.js",
              "Express",
              "cors",
              "express-rate-limit",
              "HTML",
              "CSS",
              "JS",
              "Chart.js",
              "Lightweight Charts",
              "EODHD API",
              "OpenAI/Mistral/Anthropic/Perplexity/Gemini Proxy"
            ],
            "tags": [
              "backend-hub",
              "api-proxy",
              "eod-daten",
              "secret-vault",
              "agent-hub",
              "trading-tools",
              "ki-proxy",
              "neural-os"
            ],
            "status": "production-ready",
            "overview": "GEMINI-OS (\"NEURAL-OS // Agent Hub\") ist der zentrale Backend- und Tool-Hub des gesamten Domvs-Avrea/Genitus-Ökosystems: ein echter Express-Server (`index.js`, 1040 Zeilen) mit Secret-Vault, Rate-Limiting und einem universellen AI/Finanzdaten-Proxy (`/api/chat`, `/api/vision`, `/api/eod`, `/api/perplexity`, `/api/gemini` u.a.), plus 60+ eigenständige HTML-Tools rund um Trading, Marktanalyse und KI-Agenten. Deployed unter `https://gemini-os.replit.app` wird der `/api/eod`-Endpunkt nachweislich von Schwesterprojekten (u.a. LANG-CHAIN, CRYPTO-TANKSTELLE) als gemeinsame EOD-Marktdaten-Quelle refer...",
            "elevator_pitch": "Der zentrale Agent-Hub des gesamten Genitus/Domvs-Avrea-Ökosystems: ein echter Express-Server mit Secret-Vault und universellem KI-/Marktdaten-Proxy, plus 60+ eigenständige Trading- und Analyse-Tools unter einer durchsuchbaren Oberfläche.",
            "target_audience": "Interne Entwickler und Schwesterprojekte (LANG-CHAIN, CRYPTO-TANKSTELLE u.a.), die eine gemeinsame EOD-/KI-API-Infrastruktur brauchen, sowie Trader, die einzelne Neural-OS-Tools direkt nutzen wollen.",
            "replit_md_path": "GEMINI-OS\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0055",
            "title": "Generali - Versicherung & Investment Platform (generali)",
            "project": "generali",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Python",
              "Flask",
              "Materialize CSS",
              "Chart.js",
              "Perplexity AI"
            ],
            "tags": [
              "insurance",
              "generali",
              "perplexity-ai",
              "financial-tools",
              "flask",
              "modular"
            ],
            "status": "production-ready",
            "overview": "Production-ready Versicherungs- und Finanzplattform der Generali mit KI-gestuetzter Web-Suche durch Perplexity AI. Bietet intelligente konversationelle Suche mit Versicherungs-Spezialisierung, Finanzrechner und umfassende Infos zu Versicherungs-/Investmentprodukten. Laut eigenem Status \"✅ PRODUCTION-READY\", Architect-Review bestanden (2025-10-28).",
            "elevator_pitch": "Eine Versicherungsplattform mit echter KI-Web-Suche statt starrer FAQ — Kunden fragen in eigenen Worten, bekommen aktuelle Antworten mit Quellenangaben.",
            "target_audience": "Generali-Kunden/Interessenten, Versicherungsvermittler als Beratungstool.",
            "replit_md_path": "generali\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0056",
            "title": "genitormatrix — CODE GENITOR: Theological Science Fiction Trilogy",
            "project": "genitormatrix",
            "category": "Religioes",
            "cluster": "Religioes",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS",
              "custom design system"
            ],
            "tags": [
              "theological-fiction",
              "trilogy",
              "storytelling",
              "catholic",
              "sci-fi",
              "ebook",
              "german"
            ],
            "status": "production-ready",
            "overview": "Epische deutschsprachige Trilogie ueber Glauben, KI und menschliche Erloesung mit durchgaengiger katholischer Theologie, Sakramenten und christlichen Symbolen - positioniert als \"Theological Science Fiction\" im Stil von C.S. Lewis und Philip K. Dick. Alle drei Teile vollstaendig und als publikationsreif markiert.",
            "elevator_pitch": "Eine Sci-Fi-Trilogie, in der jeder Band ein katholisches Sakrament als narrative Struktur nutzt - Maschinen, die um Erloesung ringen, in kinematischer Prosa.",
            "target_audience": "Leser theologischer Science-Fiction (Crossover-Publikum aus Glaubens-Community und klassischem Sci-Fi-Publikum), Nischenverlage fuer religioese/philosophische Genre-Literatur.",
            "replit_md_path": "genitormatrix\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0057",
            "title": "Genitus Inc. - Realtime AI Robo Advisor",
            "project": "GenitusBroker",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Node.js",
              "Express",
              "Python",
              "yfinance"
            ],
            "tags": [
              "robo-advisor",
              "stocks",
              "dashboard",
              "yfinance",
              "node-python-hybrid",
              "indices"
            ],
            "status": "production-ready",
            "overview": "\"Robo Advisor\"-Dashboard fuer Echtzeit-Marktdaten (Aktienindizes, Intraday-Kurse). Titel der Standalone-Version: \"Realtime AI - Premium ROBO ADVISOR by Genitus Inc\". Ungewoehnliche Node+Python-Hybrid-Architektur: Express ruft ein Python-Skript (`yfinance`) als Subprozess auf statt eigener HTTP-Client-Logik.",
            "elevator_pitch": "Ein Robo-Advisor-Dashboard, das Weltindizes und Einzelaktien in Echtzeit anzeigt — inklusive Ausfallsicherheit, falls die Datenquelle mal haengt.",
            "target_audience": "Genitus-Nutzer, private Anleger, die einen schnellen Marktueberblick wollen.",
            "replit_md_path": "GenitusBroker\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0058",
            "title": "genitus-db-online — GENITUS File Management System",
            "project": "genitus-db-online",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "React",
              "TypeScript",
              "Vite",
              "Wouter",
              "TanStack Query",
              "Tailwind CSS",
              "Shadcn/ui",
              "Radix UI",
              "Express.js",
              "Node.js",
              "Drizzle ORM",
              "Neon PostgreSQL",
              "OpenAI GPT-4o",
              "Framer Motion"
            ],
            "tags": [
              "file-management",
              "database",
              "GENITUS",
              "AI-Copilot",
              "auto-categorization",
              "drag-and-drop",
              "admin-tool",
              "HTML-Katalog"
            ],
            "status": "prototype",
            "overview": "React+Express+PostgreSQL-Anwendung zur zentralen Verwaltung und Kategorisierung tausender HTML-Dateien im \"GENITUS\"-Oekosystem — einer umfangreichen Sammlung von KI-Tools, Trading-Plattformen, Bildungsressourcen, Spielen und Business-Apps (laut `metrics_export.txt`: **1.700+ HTML-Anwendungen in 16 Kategorien**). Das System erlaubt Browsen, Kategorisieren, Suchen und Verwalten dieser Dateien, mit KI-gestuetzten Features fuer automatische Kategorisierung, Inhaltsanalyse und intelligente Organisation via OpenAI GPT-4o.",
            "elevator_pitch": "Ein KI-Kurator fuer eine 1.700+ Apps grosse HTML-Sammlung — automatische Kategorisierung, Duplikaterkennung und Drag&Drop-Organisation statt manueller Excel-Listen.",
            "target_audience": "Interne Verwaltung/Kuratierung der GENITUS-/Domus-Aurea-Projektfamilie selbst; als Blaupause auch fuer jedes Unternehmen mit grossen, unstrukturierten Web-Asset-Sammlungen (Agenturen, Digital-Archive).",
            "replit_md_path": "genitus-db-online\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0059",
            "title": "Genitus Inc. - AI Software Factory (genitusorg)",
            "project": "genitusorg",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "Static HTML",
              "Font Awesome",
              "Google Fonts"
            ],
            "tags": [
              "landingpage",
              "unternehmen",
              "seo",
              "static",
              "corporate",
              "genitus"
            ],
            "status": "production-ready",
            "overview": "Statische Unternehmens-/Marketing-Landingpage für \"Genitus Inc.\": positioniert das Unternehmen als KI-Software-Schmiede mit Fokus auf Fintech-Produkte (CelestiaOS-Ökosystem, GlobalFintech, GoldShield AI).",
            "elevator_pitch": "Die Corporate-Landingpage von Genitus Inc. — der KI-Software-Schmiede hinter dem CelestiaOS-Ökosystem mit 41+ Tools und den GlobalFintech/GoldShield-AI-Produkten.",
            "target_audience": "Investoren/Partner, die sich über Genitus Inc. als Unternehmen informieren wollen; potenzielle B2B-Kunden für Enterprise-SaaS-Entwicklung.",
            "replit_md_path": "genitusorg\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0060",
            "title": "Genitus Inc. - Trading Platform",
            "project": "GenitusTrade",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS/JS",
              "Chart.js",
              "Spectre.css"
            ],
            "tags": [
              "trading-simulation",
              "game",
              "static",
              "demo",
              "portfolio"
            ],
            "status": "production-ready",
            "overview": "Statische Trading-Plattform-Oberflaeche mit simuliertem Aktienhandel (\"Genitus Inc. Stock Trading\"). Zwei Varianten im selben Ordner, beide mit Titel \"Genitus Inc. - Trading Platform\".",
            "elevator_pitch": "Eine simulierte Aktienhandels-Oberflaeche zum risikofreien Ueben - zwei Design-Varianten zur Wahl.",
            "target_audience": "Trading-Einsteiger, die ohne echtes Geld eine Handelsoberflaeche kennenlernen wollen.",
            "replit_md_path": "GenitusTrade\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0061",
            "title": "Generali Insurance & Investment Tools (genrali2)",
            "project": "genrali2",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Vanilla JS",
              "Materialize CSS",
              "Chart.js",
              "jsPDF",
              "Signature Pad"
            ],
            "tags": [
              "insurance",
              "generali",
              "sales-bot",
              "contract-generation",
              "pdf",
              "digital-signature"
            ],
            "status": "production-ready",
            "overview": "Deutschsprachige Client-Side-Single-Page-Anwendung fuer Generali mit interaktiven Finanzplanungs- und Versicherungsberatungs-Tools (Zinseszins, Rente, Steuer, Asset-Allocation, ETF-Vergleich, BU-Risiko, Szenarienplanung) sowie einem KI-gestuetzten Versicherungs-Verkaufsbot mit Vertragsgenerierung und digitaler Signatur (`LeGeneral.html`).",
            "elevator_pitch": "Ein KI-Verkaufsbot, der nicht nur berät, sondern direkt einen rechtssicher formulierten Vertrag mit digitaler Unterschrift und PDF-Export generiert — vom Gespraech bis zum Vertragsabschluss in einer Sitzung.",
            "target_audience": "Generali-Vertriebsmitarbeiter/Makler als Verkaufswerkzeug, Endkunden im Beratungsgespraech.",
            "replit_md_path": "genrali2\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0062",
            "title": "GoldShield AI - Premium Financial Intelligence (GLOBALFINTECH)",
            "project": "GLOBALFINTECH",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "PWA-Manifest",
              "JSON-LD/Schema.org"
            ],
            "tags": [
              "goldshield",
              "landingpage",
              "seo",
              "fintech",
              "pwa",
              "static",
              "marketing"
            ],
            "status": "production-ready",
            "overview": "Eine einzelne, sehr umfangreich SEO-optimierte statische Landingpage/App für \"GoldShield AI\", Marke von Genitus Inc. (Daniel Gereci, CEO). KI-gestützte Finanzanalysen, AI Trading Systeme, AI Investment Consulting, technische Indikatoren (RSI, SMA, Bollinger Bands), Echtzeit-Marktdaten. Firmensitz laut Geo-Tags: Düsseldorf & Newark, Delaware (Domvs Aurea O.P.N.). Kanonische Domain: `globalfintech.net`.",
            "elevator_pitch": "Die SEO-optimierte Flagship-Landingpage für GoldShield AI — KI-Finanzanalyse mit RSI/SMA/Bollinger Bands, für Suchmaschinen UND KI-Crawler gleichermaßen optimiert.",
            "target_audience": "Organischer Suchverkehr/Trader, die nach KI-Trading-Tools suchen; auch als Referenz für LLM-/KI-Crawler-SEO-Best-Practice im eigenen Ökosystem.",
            "replit_md_path": "GLOBALFINTECH\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0063",
            "title": "GlobalNewsCentral — NEWSFLOW.AI",
            "project": "GlobalNewsCentral",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "2",
            "rebuild_grade": "A",
            "tech_stack": [
              "Express",
              "Node.js",
              "TypeScript",
              "rss-parser",
              "React",
              "Vite",
              "Drizzle-style schema",
              "Orbitron",
              "Share Tech Mono"
            ],
            "tags": [
              "news-aggregator",
              "rss",
              "cyberpunk",
              "orbitron",
              "multi-category",
              "trending",
              "csv-export",
              "neural-orbitron"
            ],
            "status": "prototype",
            "overview": "NEWSFLOW.AI ist ein Express/TypeScript-Backend, das RSS-Feeds aus fünf Kategorien (general, business, technology, science, religion) von einer breiten Quellenliste (Reuters, NYT, Guardian, Welt.de, Handelsblatt, FAZ, Bloomberg, TechCrunch, Wired, The Verge, Heise, Golem, Spektrum, NASA, Vatican News, Kath.net, Domradio u. a.) parst, dedupliziert und über eine REST-API ausliefert. Die interaktive React-Oberfläche ist im vorliegenden Extrakt nicht enthalten (nur der generische Vite-Shell in `client/index.html`); als vollständige, eigenständig lauffähige Referenz für Content und Design dient der ...",
            "elevator_pitch": "Ein Cyberpunk-gestyltes \"Neural News Terminal\", das Nachrichten aus Top-Weltmedien in Echtzeit sammelt, nach Kategorie/Trend filtert und als durchsuchbares, exportierbares Dashboard darstellt.",
            "target_audience": "Info-affine Power-User, Newsrooms/Redaktionsteams, die einen Multi-Quellen-Überblick brauchen, sowie Entwickler, die eine White-Label-News-Aggregations-API suchen.",
            "replit_md_path": "GlobalNewsCentral\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0064",
            "title": "goldi1 — GoldShield Trading AI",
            "project": "goldi1",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "TypeScript",
              "Express",
              "OpenAI GPT-4o",
              "PostgreSQL",
              "JWT",
              "Stripe",
              "EOD API"
            ],
            "tags": [
              "trading-chatbot",
              "ai-analysis",
              "subscription",
              "jwt-auth",
              "stripe",
              "react",
              "express"
            ],
            "status": "production-ready",
            "overview": "Premium-Finanz-KI-Chatbot-Plattform mit React/TypeScript-Frontend und Express-Backend, die Echtzeit-Marktdatenanalyse (EOD Historical Data API) mit OpenAI-GPT-4o-gestuetzten Trading-Insights kombiniert. JWT-Token-basierte Premium-Zugangskontrolle mit Stripe-Abo-Integration.",
            "elevator_pitch": "Ein Premium-KI-Trading-Assistent, der Live-Marktdaten analysiert und automatisch konkrete Handelsplaene generiert - mit eingebauter Stripe-Bezahlschranke.",
            "target_audience": "Ambitionierte Privattrader, die bereit sind fuer ein Abo-Modell zu zahlen, im Austausch fuer aggressive, umsetzbare Handelsanalysen statt reiner Datenanzeige.",
            "replit_md_path": "goldi1\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0065",
            "title": "GoldShield Trading AI (Archiv)",
            "project": "goldi1-archiv-20260608",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "F",
            "tech_stack": [
              "React",
              "TypeScript",
              "Express.js",
              "PostgreSQL",
              "EOD Historical Data API",
              "OpenAI GPT-4o",
              "JWT",
              "Stripe"
            ],
            "tags": [
              "archiv",
              "goldshield",
              "trading-ai",
              "chatbot",
              "dvag",
              "genitus",
              "stripe",
              "jwt",
              "premium-access"
            ],
            "status": "archiv-duplikat",
            "overview": "",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "goldi1-archiv-20260608\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0066",
            "title": "goldi1 (archivierte Version, Stand 2026-06-22)",
            "project": "goldi1-archiv-20260622-a",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "EOD Historical Data API",
              "OpenAI GPT-4o"
            ],
            "tags": [
              "archiv",
              "duplikat",
              "goldshield",
              "chatbot",
              "trading",
              "siehe-kanonisch"
            ],
            "status": "archiv-duplikat",
            "overview": "",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "goldi1-archiv-20260622-a\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0067",
            "title": "Goldshield AI - Stock Tracker",
            "project": "GoldshieldTracker",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Python",
              "Flask",
              "Jinja2",
              "Chart.js",
              "EOD API"
            ],
            "tags": [
              "stocks",
              "long-short",
              "signal",
              "flask",
              "dashboard",
              "pivot-analysis"
            ],
            "status": "production-ready",
            "overview": "Single-Stock-Dashboard, das historische EOD-Kursdaten abruft und per Vergleich des aktuellen Schlusskurses gegen einen \"Pivot\"-Preis (letzter Freitag des Vormonats) eine LONG/SHORT-Empfehlung generiert. Nutzer koennen per Suchformular beliebige Ticker abfragen; Server-seitig gerendertes Bootstrap-Dashboard mit Sentiment-Bar und Chart.js-Kurschart.",
            "elevator_pitch": "Ticker eingeben, sofort eine LONG/SHORT-Empfehlung samt Chart bekommen — basierend auf einer einfachen, nachvollziehbaren Pivot-Regel statt Blackbox-KI.",
            "target_audience": "Privatanleger, die eine schnelle erste Einschaetzung zu einer Aktie wollen.",
            "replit_md_path": "GoldshieldTracker\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0068",
            "title": "GoldShield AI Trading (Genitus Inc.)",
            "project": "GoldShieldTrading",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "React (ungenutzt)",
              "Express (ungenutzt)"
            ],
            "tags": [
              "goldshield",
              "landingpage",
              "trading",
              "marketing",
              "static",
              "robo-advisor"
            ],
            "status": "prototype",
            "overview": "Marketing-/Landingpage für \"GoldShield AI - Premium Financial Intelligence\" unter der Marke \"Genitus Inc.\". Bewirbt eine KI-Trading-Suite mit \"Daniel.AI Robo Advisor\", Zugang zu 70+ globalen Börsen, Fibonacci-Analyse und \"Vision AI\"-Features. Ein React/Express-Gerüst existiert daneben, ist aber funktionslos.",
            "elevator_pitch": "Die Marketing-Landingpage für GoldShield AI — Zugang zu 70+ globalen Börsen, Fibonacci-Analyse und Robo-Advisor, in einer einzigen fertigen HTML-Seite.",
            "target_audience": "Potenzielle GoldShield-AI-Kunden, die über Marketing-Kanäle auf das Produkt stoßen.",
            "replit_md_path": "GoldShieldTrading\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0069",
            "title": "Secret Vault Server (gptKEYserver)",
            "project": "gptKEYserver",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "Node.js",
              "Express"
            ],
            "tags": [
              "secret-vault",
              "api-keys",
              "infrastructure",
              "backend-only",
              "security",
              "proxy"
            ],
            "status": "production-ready",
            "overview": "Zentralisierter Secret-Vault-Server, der API-Keys fuer mehrere Dienste (Mistral, Anthropic/Claude, Perplexity, EOD Financial, Stripe, Gemini) sicher verwaltet und ueber einen einzigen Endpunkt an alle Web-Apps im Genitus/DOMVS-AVREA-Oekosystem verteilt. Leichtgewichtiger, zustandsloser Express-Server mit Header-basierter Authentifizierung.",
            "elevator_pitch": "Ein zentraler Tresor fuer alle API-Keys — statt 40+ Apps mit eigenen `.env`-Dateien, ein einziger sicherer Endpunkt fuer alle.",
            "target_audience": "Interner Infrastruktur-Baustein fuer den Autor selbst, der Dutzende Fintech-/KI-Apps betreibt — kein Endkunden-Produkt.",
            "replit_md_path": "gptKEYserver\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0070",
            "title": "MedAssist - German Medical AI Assistant",
            "project": "HealthAiCompanion",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "PostgreSQL",
              "Drizzle ORM",
              "OpenAI GPT-4o-mini",
              "Web Speech API"
            ],
            "tags": [
              "medizin",
              "chatbot",
              "gesundheit",
              "dsgvo",
              "sprache",
              "deutsch",
              "react",
              "ki-assistent"
            ],
            "status": "prototype",
            "overview": "Deutschsprachiger medizinischer KI-Assistent als Full-Stack-Web-App: Chat-Interface mit Spracherkennung, Konversationsverwaltung und verpflichtendem medizinischem Disclaimer-System, GDPR-konform.",
            "elevator_pitch": "Ein deutschsprachiger medizinischer KI-Chatbot mit Sprach-Ein-/Ausgabe und eingebautem DSGVO-/Disclaimer-System für sicheren Gesundheits-Erstkontakt.",
            "target_audience": "Gesundheits-Apps/Portale, die einen niedrigschwelligen KI-Ersteinstieg für Patienten anbieten wollen; Krankenkassen/Praxen als White-Label-Baustein.",
            "replit_md_path": "HealthAiCompanion\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0071",
            "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
            "project": "HEIKIN-ASHI-1",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS/JS",
              "Lightweight Charts",
              "EOD API"
            ],
            "tags": [
              "momentum-scanner",
              "heikin-ashi",
              "mtf-analysis",
              "static",
              "global-markets"
            ],
            "status": "production-ready",
            "overview": "Statischer, weltweiter Momentum-Scanner (\"MEGA STOCKS - Global Momentum Scanner\") mit Heikin-Ashi-Flip-Erkennung, Multi-Timeframe-Analyse (Alexander Elders Triple Screen) und STOP-ENTRY-TRIGGER-Berechnung, deploybar als reine statische Site. Enthaelt zudem mehrere verwandte Standalone-Tools (Chat, IDE, Stack-Uebersicht) im selben Ordner.",
            "elevator_pitch": "Ein globaler Momentum-Scanner ueber 38 Maerkte mit Heikin-Ashi-Flip-Erkennung und Multi-Timeframe-Bestaetigung.",
            "target_audience": "Swing-/Positionstrader, die systematische Trendwechsel-Signale ueber viele internationale Maerkte hinweg suchen.",
            "replit_md_path": "HEIKIN-ASHI-1\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0072",
            "title": "history — Geschichtsbibliotheken Projekt (100% Complete)",
            "project": "history",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS/JS",
              "static site",
              "JSON data"
            ],
            "tags": [
              "history-education",
              "ebook-library",
              "static-site",
              "search",
              "mobile-responsive",
              "german"
            ],
            "status": "production-ready",
            "overview": "Statische, produktionsreife Bildungsplattform mit zwei parallelen Geschichts-Bibliotheken (206 eBooks \"Gruene Library\" + 175 Kapitel \"Blaue Library\") fuer deutsche Schueler (12-18 Jahre), inkl. Suchfunktion, Burger-Menu-Navigation und vollstaendigem Mobile-Responsive-Design. Laut eigener Statusangabe 91% durchschnittliche Content-Vollstaendigkeit bei 100% funktionaler Vollstaendigkeit.",
            "elevator_pitch": "Zwei komplette Geschichts-Bibliotheken - 206 eBooks und 175 durchsuchbare Kapitel - fuer den deutschen Schulunterricht, mobil-optimiert und ohne einen einzigen Server.",
            "target_audience": "Schueler (12-18 Jahre) und Lehrkraefte im deutschsprachigen Geschichtsunterricht, die eine durchsuchbare Referenzbibliothek statt verstreuter Einzelquellen brauchen.",
            "replit_md_path": "history\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0073",
            "title": "HTML-BACKUP — Vulgata Chronica Bibel-Galerie & Kreuzweg",
            "project": "HTML-BACKUP",
            "category": "Religioes",
            "cluster": "Religioes",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML",
              "CSS",
              "Vanilla JS",
              "Google Fonts",
              "Font Awesome"
            ],
            "tags": [
              "bibel-galerie",
              "kreuzweg",
              "via-crucis",
              "katholisch",
              "kalender",
              "andacht",
              "religioes"
            ],
            "status": "prototype",
            "overview": "Ein flaches Backup/Export-Verzeichnis katholischer HTML-Einzelseiten ohne Server, Build-System oder Framework. Kernstueck ist eine 365-Tage-Bibelbild-Galerie (\"Vulgata Chronica\"), ergaenzt um einen Bibelkalender, den Kreuzweg (Via Crucis, 14 Stationen) und zwei Evangelium-Diashows. Die eigentlichen Quelldateien liegen im Unterordner `HTML-BACKUP\\HTML-BACKUP\\` (verschachtelte ZIP-Struktur), nicht auf der Wurzelebene.",
            "elevator_pitch": "Eine vollständige 365-Tage-Bibelbild-Galerie mit Kalender und ein 14-Stationen-Kreuzweg zur Meditation - alles als reine, offline-fähige HTML-Seiten ohne Server.",
            "target_audience": "Katholische Gemeinden, Andachtsgruppen und Einzelpersonen, die tägliche Bibelbetrachtung oder Kreuzweg-Meditation digital nutzen wollen.",
            "replit_md_path": "HTML-BACKUP\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0074",
            "title": "html-export — Katholisch-KI Plattform (Quantum Spiritual OS)",
            "project": "html-export",
            "category": "Religioes",
            "cluster": "Religioes",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML/CSS/JS",
              "Google Fonts (Orbitron",
              "Merriweather",
              "Cinzel)",
              "Font Awesome"
            ],
            "tags": [
              "katholisch",
              "religion",
              "ki-gebet",
              "beichtspiegel",
              "dogmen",
              "heiligenlexikon",
              "apologetik",
              "ebook-marktplatz"
            ],
            "status": "production-ready",
            "overview": "Ein umfangreicher statischer Export einer katholischen KI-/Spiritualitaets-Plattform (\"Katholisch-KI\"), betrieben unter der Domain `kathbot.replit.app`. Ueber 40 eigenstaendige HTML-Seiten decken einen KI-Gebetsassistenten, ein Beichtspiegel-Tool, ein Priester-Toolkit, ein Heiligenlexikon, einen 245-Dogmen-Katalog, Papst-/Kardinal-Biografien, Kinder-Katechese, Apologetik und einen eBook-Marktplatz ab. Mehrere Seiten existieren doppelt als \"standalone\"-Variante (funktioniert komplett offline/autark ohne externe Assets).",
            "elevator_pitch": "Umfassende katholische KI-Plattform mit über 40 statischen Tools — vom Gebetsgenerator über Beichtspiegel bis zum 245-Dogmen-Katalog.",
            "target_audience": "Katholische Gläubige, Priester/Seelsorger, Bistümer/kirchliche Institutionen, Katecheten und Eltern für die Glaubensbildung ihrer Kinder.",
            "replit_md_path": "html-export\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0075",
            "title": "DVAG Finance Application (Huashaltsbuch)",
            "project": "Huashaltsbuch",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "PostgreSQL",
              "Drizzle",
              "Claude Vision",
              "Mistral Codestral"
            ],
            "tags": [
              "dvag",
              "finance",
              "ocr",
              "budget",
              "ai-code-generator",
              "household-budget",
              "pdf-extraction"
            ],
            "status": "production-ready",
            "overview": "Production-ready DVAG-Finanzanwendung: OCR-/PDF-Transaktionsextraktion, persoenliches Haushaltsbuch, und ein KI-Code-Generator (\"LeCode Buchfuehrungs-Generator\"). Voller React/Express/PostgreSQL-Stack, ergaenzt durch mehrere eigenstaendige HTML-Tools (`DVAG-rechner-corporate.html`, `LeCode.html`, `LeClaude.html`, `LeCHATGPT.html`, `VORSTUER.html`, `tradingplan-ebook.html`).",
            "elevator_pitch": "Ein Finanz-Tool fuer DVAG-Berater: Kontoauszuege per Foto einscannen, automatisch kategorisieren, plus ein KI-Code-Generator gratis dazu.",
            "target_audience": "DVAG-Finanzberater und deren Kunden, kleine Unternehmen mit Buchhaltungsbedarf.",
            "replit_md_path": "Huashaltsbuch\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0076",
            "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
            "project": "INDEX-CONTROL",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS/JS",
              "Font Awesome"
            ],
            "tags": [
              "command-center",
              "portal",
              "desktop-ui",
              "navigation-hub",
              "genitus",
              "static"
            ],
            "status": "production-ready",
            "overview": "Statisches, Desktop-OS-artiges \"Command Center\" (Titel: **\"⚙️ GENITUS-CONTROL v3 - Smart Command Center\"**), das als zentraler Navigations-Hub zu Dutzenden Genitus/DOMVS-AVREA-Sub-Apps dient. Nutzt eine iOS-bewusste Taskbar-Metapher (`body.is-ios`-Klasse) und ein dunkles, goldakzentuiertes Sci-Fi-Theme.",
            "elevator_pitch": "Ein Desktop-OS-artiges Command-Center, das Zugang zu ueber 30 Genitus-Sub-Apps aus einer einzigen Oberflaeche bietet.",
            "target_audience": "Interne Nutzer/Partner, die den Ueberblick ueber das breite Genitus/Domvs-Avrea-App-Portfolio brauchen.",
            "replit_md_path": "INDEX-CONTROL\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0077",
            "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
            "project": "IntraTradeAnalyzer-1",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "WebSocket",
              "lightweight-charts",
              "Yahoo Finance API"
            ],
            "tags": [
              "trading",
              "charts",
              "websocket",
              "echtzeit",
              "signale",
              "react",
              "candlestick"
            ],
            "status": "prototype",
            "overview": "Echtzeit-Trading-Analyse-Plattform (React + Express + WebSocket): Live-Aktienkurs-Visualisierung, Trade-Signal-Generierung und Positionsgrößen-Rechner. Interaktive Candlestick-Charts (lightweight-charts) mit Echtzeit-Streaming von Yahoo Finance.",
            "elevator_pitch": "Live-Candlestick-Charts mit automatischer Trade-Signal-Generierung und Positionsgrößen-Rechner, gestreamt in Echtzeit per WebSocket direkt von Yahoo Finance.",
            "target_audience": "Aktive Intraday-Trader, Trading-Communities, als Analyse-Widget für andere Genitus-Trading-Produkte.",
            "replit_md_path": "IntraTradeAnalyzer-1\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0078",
            "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
            "project": "joojo",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "Tailwind CSS",
              "Vanilla JS"
            ],
            "tags": [
              "lernapp",
              "quiz",
              "gymnasium",
              "nrw",
              "bildung",
              "cyberpunk",
              "static",
              "verschluesselung"
            ],
            "status": "production-ready",
            "overview": "Deutsche Lernapp mit interaktiven Tests/Quizzes über 8 Hauptfächer für Gymnasiasten in Nordrhein-Westfalen. Futuristisches \"Obitron Neural Style\"-Design, zeitgesteuerte Tests mit automatischer Bewertung, Lernfortschritts-Tracking. 109 vollständige, curriculum-abgestimmte Tests mit vollständiger Bildintegration, laut eigener Doku explizit \"PRODUCTION READY\".",
            "elevator_pitch": "109 fertige, bebilderte Übungstests über 8 NRW-Gymnasialfächer in einem futuristischen Neural-Design — sofort einsatzbereit, mit verschlüsselten Antwortschlüsseln gegen Abschreiben.",
            "target_audience": "NRW-Gymnasiasten (Klasse 5-10) zur Selbstprüfung, Lehrkräfte als Zusatzmaterial, Nachhilfeanbieter als White-Label-Basis.",
            "replit_md_path": "joojo\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0079",
            "title": "Katholisch-KI (kath-ki)",
            "project": "kath-ki",
            "category": "Religioes",
            "cluster": "Religioes",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML/CSS",
              "Bootstrap",
              "Font Awesome"
            ],
            "tags": [
              "catholic",
              "education",
              "ebooks",
              "ai-tools",
              "german",
              "multilingual",
              "static"
            ],
            "status": "production-ready",
            "overview": "Katholische Bildungsplattform (Katholisch-KI), die KI-gestuetzte spirituelle Ressourcen, digitale eBooks und theologische Informationen bereitstellt. Kombiniert traditionellen katholischen Glauben mit moderner Web-Technologie fuer katechetische Bildung — mehrsprachig (primaer Deutsch, Englisch-Support), inkl. Latein-Lernmaterial.",
            "elevator_pitch": "Ein digitales Dashboard fuer katholische KI-Tools, Gebets-/Lehr-Ressourcen und eine 154-Buecher-eBook-Bibliothek — modern gestaltet statt verstaubt.",
            "target_audience": "Katholiken, die digitale Glaubensbildung suchen, Pfarreien/Katecheten als Lehrmaterial-Quelle.",
            "replit_md_path": "kath-ki\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0080",
            "title": "KI-Club - AI Workshops for Children",
            "project": "KI-DZ-Club",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML/CSS/JS",
              "Semantic UI"
            ],
            "tags": [
              "kids",
              "ai-education",
              "workshop",
              "duesseldorf",
              "landing-page",
              "lead-generation"
            ],
            "status": "production-ready",
            "overview": "Deutschsprachige Bildungswebsite fuer KI-Workshops fuer Kinder (6-12 Jahre) in Duesseldorf. Rein statische Multi-Page-Site (kein Framework), rebrandet im November 2025 von \"KI-DZ\" zu \"KI-Club\" (Domain ki-club.net). Workshop: 60 Minuten (45 Min Workshop + 15 Min Elterngespraech), 39€ pro Workshop.",
            "elevator_pitch": "60-Minuten-KI-Workshops fuer Kinder in Duesseldorf, buchbar fuer 39€ — cyberpunk-gestylte Landingpage, die Eltern ueberzeugt.",
            "target_audience": "Eltern mit Kindern 6-12 Jahre in Duesseldorf/Umgebung, Schulen als B2B-Kunden.",
            "replit_md_path": "KI-DZ-Club\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0081",
            "title": "KORRES — FrançaisPro AI-Powered French Learning Application",
            "project": "KORRES",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Vanilla JS ES6",
              "Tailwind CSS",
              "Bootstrap 5",
              "OpenAI GPT"
            ],
            "tags": [
              "language-learning",
              "french",
              "delf",
              "gamification",
              "kids-app",
              "chatbot",
              "multilingual"
            ],
            "status": "production-ready",
            "overview": "KI-gestuetzte Franzoesisch-Lernanwendung fuer DELF-Niveaus (A1-B2) mit Vokabeltraining, KI-Brief-/E-Mail-Generierung, Dialogtraining, Hoerverstaendnis, Uebersetzung und interaktivem Quiz-System. Der Ordner enthaelt zudem mehrere eigenstaendige Zusatz-Apps (LINGUA, Kinder-Lernspiel, Live-Uebersetzung, mehrsprachige eBooks) sowie ein Token-basiertes Login-System.",
            "elevator_pitch": "Eine komplette Franzoesisch-Lern-Suite fuer DELF-Pruefungen, plus ein eigenes Kinder-Lernspiel mit KI-Chat obendrauf.",
            "target_audience": "DELF-Pruefungskandidaten (A1-B2) sowie Eltern mit Kindern (6-8 Jahre) fuer den Kinder-Lernbereich.",
            "replit_md_path": "KORRES\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0082",
            "title": "kostolany — Book/Cover Publishing Workspace",
            "project": "kostolany",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML/CSS",
              "Bootstrap 5",
              "print.css"
            ],
            "tags": [
              "book-publishing",
              "kdp",
              "ebook",
              "print-cover",
              "finance-book",
              "sci-fi-novel",
              "workspace"
            ],
            "status": "production-ready",
            "overview": "Ein KDP- (Kindle Direct Publishing/Print-on-Demand) Buchproduktions-Workspace, keine Web-App. Enthaelt vollstaendigen Text und Cover-Artwork fuer mindestens drei separate Buchprojekte, jeweils als eigenstaendige HTML-Dokumente fuer Vorschau/Druck-Export.",
            "elevator_pitch": "Ein kompletter Print-on-Demand-Publishing-Workspace mit vier fertigen Buchprojekten von Finanz-Sachbuch bis Sci-Fi-Roman - Text, Cover und Druckvorlagen inklusive.",
            "target_audience": "Selfpublishing-Autoren/kleine Verlage, die einen bewaehrten HTML-basierten Workflow fuer KDP-Cover-Iteration und druckfertige Buchinhalte suchen.",
            "replit_md_path": "kostolany\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0083",
            "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
            "project": "LANG-CHAIN",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML",
              "CSS",
              "JS",
              "ApexCharts",
              "Three.js",
              "TensorFlow.js",
              "PDF.js",
              "ACE Editor",
              "Pyodide",
              "JSZip"
            ],
            "tags": [
              "langchain",
              "langgraph",
              "react-agent",
              "hmm-regime-detection",
              "ai-ide",
              "gdpr-privacy",
              "quant-trading"
            ],
            "status": "production-ready",
            "overview": "LANG-CHAIN (\"⚡ LANGCHAIN STACK // Master Index\", deployed unter `https://lang-chain.replit.app`) ist eine Sammlung von 15 eigenständigen HTML-Tools, die verschiedene LangChain/LangGraph-Architekturmuster demonstrieren — ReAct-Agenten, HMM-basierte Quant-Trading-Terminals, ein vollwertiges browserbasiertes AI-Code-IDE, ein GDPR-Privacy-Scanner mit TensorFlow.js, sowie diverse Utility-/Creative-Agenten (Reise, Wetter, RPG-NPCs, Exoplaneten-Detektor). Jedes Tool ist als Monolith-HTML dokumentiert und nutzt ausschließlich externe API-Proxies aus dem Genitus/Domvs-Avrea-Ökosystem (`theserver-open-a...",
            "elevator_pitch": "15 eigenständige LangChain/LangGraph-Demo-Tools in einem durchsuchbaren Hub - von ReAct-Agenten über HMM-Quant-Trading-Terminals bis zu einer vollwertigen Browser-KI-IDE.",
            "target_audience": "Entwickler und Interessenten, die konkrete LangChain/LangGraph-Architekturmuster in Aktion sehen wollen (Agenten, RAG, Quant-Strategien, Privacy-Tools), sowie Recruiter/Investoren als technischer Nachweis von KI-Engineering-Fähigkeiten.",
            "replit_md_path": "LANG-CHAIN\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0084",
            "title": "latein-bibiothek — Lingua Latina Nova",
            "project": "latein-bibiothek",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "Vanilla JavaScript",
              "Intersection Observer",
              "Google Fonts Crimson Text",
              "Google Fonts Lora",
              "Python http.server"
            ],
            "tags": [
              "Latein",
              "eLearning",
              "Lingua-Latina",
              "comprehensible-input",
              "eBook",
              "Sprachlernen",
              "Vokabular",
              "klassische-Bildung"
            ],
            "status": "production-ready",
            "overview": "Dreibaendiges Latein-Lehrbuch nach der \"Comprehensible-Input\"-Methodik (inspiriert von \"Lingua Latina per se illustrata\"). **Liber Primus** (`LATINA.html`, 10 Kapitel, Grundstufe), **Liber Secundus** (`LATINA-2.html`, 20 Kapitel XI–XX, fortgeschritten) und **Liber Tertius** (`LATINA-3.html`, 10 Kapitel XXI–XXX, Experten-Niveau mit Dichtung/Rhetorik) plus Begleitmaterial: `VOCABULARIUM.html` (thematischer Wortschatzindex), `CULTURAL_NOTES.html` (roemische Kulturessays) und `index.html` als Portal/Landingpage. Zusaetzlich im Ordner vorhanden, aber nicht Teil der Kern-Trilogie laut Aufgabenstellu...",
            "elevator_pitch": "Latein lernen wie ein Roemer — 40 Kapitel reiner Latein-Text mit Klick-Vokabeln, klassischen Illustrationen und einer durchgehenden Familiengeschichte, ganz ohne Uebersetzung.",
            "target_audience": "Homeschooling-Familien, Lateinlehrer/innen (Gymnasium), Selbstlerner mit klassischem Bildungsinteresse, katholische/kirchliche Bildungseinrichtungen (Latein als Kirchensprache, siehe `CHIESA-LATINA.html`-Schwesterprojekt).",
            "replit_md_path": "latein-bibiothek\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0085",
            "title": "Lead Extraction Tool (LeadHarvester)",
            "project": "LeadHarvester",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Flask",
              "BeautifulSoup",
              "Trafilatura",
              "Bootstrap 5"
            ],
            "tags": [
              "lead-generierung",
              "scraping",
              "flask",
              "kontaktdaten",
              "csv-export",
              "b2b"
            ],
            "status": "production-ready",
            "overview": "Web-basiertes Lead-Generierungs-Tool (Flask): extrahiert Kontaktinformationen (E-Mail, Telefon) von Websites über konfigurierbare Extraktionsmethoden, präsentiert Ergebnisse mit Export-Funktion.",
            "elevator_pitch": "URL rein, E-Mails und Telefonnummern raus — mit drei Extraktionsmethoden inklusive Erkennung obfuskierter Kontaktdaten.",
            "target_audience": "Vertriebsteams/Lead-Generierung, Marketing-Agenturen, als Zulieferer für `SalesSymphony` im selben Ökosystem.",
            "replit_md_path": "LeadHarvester\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0086",
            "title": "Lead Extraction Tool (LeadHarvester)",
            "project": "LeadHarvester (1)",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Flask",
              "BeautifulSoup",
              "Trafilatura"
            ],
            "tags": [
              "lead-generation",
              "web-scraping",
              "contact-extraction",
              "csv-export",
              "flask"
            ],
            "status": "production-ready",
            "overview": "Web-basiertes Lead-Generierungs-Tool (Flask), das Kontaktdaten (E-Mail-Adressen, Telefonnummern) von Websites extrahiert. Nutzer geben URLs ein, das Tool scraped sie mit konfigurierbarer Extraktionsmethode und praesentiert die Ergebnisse mit Export-Funktion.",
            "elevator_pitch": "URLs eingeben, E-Mails und Telefonnummern automatisch extrahieren — fertige Lead-Liste als CSV in Sekunden.",
            "target_audience": "Vertriebsteams, Freelancer/Agenturen fuer Kaltakquise-Listen.",
            "replit_md_path": "LeadHarvester (1)\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0087",
            "title": "Legal-TECH — ORBITRON LEGALTECH",
            "project": "Legal-TECH",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Node.js",
              "statischer Export"
            ],
            "tags": [
              "legal-tech",
              "evidence-review",
              "decision-support",
              "pwa",
              "dual-interface"
            ],
            "status": "production-ready",
            "overview": "Statischer Node.js-Export einer \"ORBITRON LEGALTECH\"-PWA mit zwei bewusst getrennten Verfahrens-Oberflaechen: einem hellen forensischen \"Evidence Lab\" (Pruefterminal) und einem dunklen \"Decision Desk\" (Judge-Terminal). Ausdruecklich als Unterstuetzungswerkzeug positioniert, nicht als autonomes Gericht - menschliche Pruefung vor jeder Fallentscheidung wird explizit gefordert.",
            "elevator_pitch": "Zwei getrennte Rechts-Tools - ein Beweis-Labor und ein Entscheidungs-Schreibtisch - fuer nachvollziehbare, KI-unterstuetzte Falllogik.",
            "target_audience": "Juristen/Kanzleien, die Fallaufbereitung und Entscheidungsvorbereitung strukturieren wollen, mit klarer Trennung von Faktenpruefung und Entscheidungsfindung.",
            "replit_md_path": "Legal-TECH\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0088",
            "title": "Le Marché PWA Export",
            "project": "LeMarche-PWA-Export",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "React via Babel-Standalone",
              "PWA/Service Worker",
              "Stripe"
            ],
            "tags": [
              "pwa",
              "launcher",
              "trading",
              "paywall",
              "genitus",
              "workshell",
              "static",
              "desktop"
            ],
            "status": "production-ready",
            "overview": "Kuratierter, eigenständiger Export der \"Le Marché\"-Trading-App-Suite als installierbare PWA unter der Marke \"Genitus Inc.\". Kombiniert ein client-seitiges Login/Paywall-Gate mit einem Desktop-Launcher (\"Workshell\"), der 17 externe statische Trading/Fintech-Sub-Apps (18 Einstiegspunkte) verlinkt. Bewusst ohne die frühere Trading-Dashboard-/Portfolio-Monitor-Komponente.",
            "elevator_pitch": "Ein installierbarer Desktop-Launcher, der 17 Fintech-Tools (GoldShield, Denarius, Fibonacci-Trader u.a.) hinter einem $20/Monat-Paywall-Login bündelt.",
            "target_audience": "Zahlende Abonnenten des Le-Marché-Trading-Ökosystems; Genitus als Anbieter eines gebündelten Multi-Tool-Abos statt Einzelverkauf.",
            "replit_md_path": "LeMarche-PWA-Export\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0089",
            "title": "LeRAG — Genitus AI Chatbot (RAG)",
            "project": "LeRAG",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS/JS",
              "RAG",
              "OpenAI/Claude/Mistral-Proxy"
            ],
            "tags": [
              "chatbot",
              "rag",
              "embeddings",
              "multi-model",
              "single-page"
            ],
            "status": "production-ready",
            "overview": "Einzelseitige, statische Chat-Oberflaeche (\"Genitus AI Chatbot\") mit echter RAG-Funktionalitaet (Retrieval-Augmented Generation): Embeddings-Erzeugung, Vektor-Query und Multi-Modell-Routing (OpenAI/Claude/Mistral) ueber einen gemeinsamen Proxy. Kleinster und am staerksten fokussierter Chat-Client im Bestand (nur `index.html` + diese Doku).",
            "elevator_pitch": "Ein Single-File-Chatbot mit echtem RAG (Retrieval-Augmented Generation) und Wahl zwischen OpenAI, Claude und Mistral.",
            "target_audience": "Entwickler/interne Nutzer, die eine minimalistische, aber technisch vollstaendige RAG-Chat-Referenzimplementierung brauchen.",
            "replit_md_path": "LeRAG\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0090",
            "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
            "project": "LeWATCH",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML",
              "CSS",
              "JS",
              "Bootstrap 5",
              "Font Awesome",
              "Google Fonts"
            ],
            "tags": [
              "trading-hub",
              "iframe-portal",
              "desktop-os-ui",
              "aktiendepot",
              "portfolio-tracker",
              "app-launcher"
            ],
            "status": "prototype",
            "overview": "Statischer, Desktop-OS-artiger Hub für Trading-/Watch-Tools. `index.html` zeigt eine App-Grid-Oberfläche (\"FUN & PROFIT\") mit OS-Erkennung (iOS/macOS/Windows-Klassen), aufklappbaren Kategorien und einem Vollbild-iframe-Fenstersystem. Klick auf eine Kachel öffnet das jeweilige Tool per iframe-Overlay mit Titelleiste, \"In neuem Tab öffnen\"- und Schließen-Button. Die referenzierten Tools sind eigenständige, in sich geschlossene Trading-Dashboards (z.B. ein Aktiendepot-Tracker).",
            "elevator_pitch": "Ein Desktop-OS-artiger App-Launcher für Trading-Tools: Kachel anklicken, Tool öffnet sich im Vollbild-Fenster - inklusive Aktiendepot-Tracker mit Live-Kursen und Portfolio-Chat.",
            "target_audience": "Trader/Anleger, die mehrere Watch-/Trading-Tools zentral über eine einzige, App-artige Oberfläche verwalten wollen.",
            "replit_md_path": "LeWATCH\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0091",
            "title": "Liturgisches Archiv (liturgie-1)",
            "project": "liturgie-1",
            "category": "Religioes",
            "cluster": "Religioes",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "CSS Custom Properties",
              "Google Fonts"
            ],
            "tags": [
              "liturgie",
              "religion",
              "katholisch",
              "orthodox",
              "archiv",
              "static",
              "referenzwerk"
            ],
            "status": "production-ready",
            "overview": "Statische Website als liturgisches Archiv und Index für katholische und orthodoxe liturgische Texte: umfassende Dokumentation und vergleichende Analyse verschiedener liturgischer Riten (Römisch, Byzantinisch, Armenisch, Syrisch, Koptisch, Slawisch). Inhalt primär Deutsch und Latein, Fokus auf eucharistische Gebete (Hochgebete), Altartheologie, liturgische Reformen.",
            "elevator_pitch": "Ein wissenschaftliches Nachschlagewerk, das katholische und orthodoxe Hochgebete/Riten seitengleich vergleicht — von Römisch bis Koptisch.",
            "target_audience": "Theologiestudierende, liturgiewissenschaftlich Interessierte, Priester/Kleriker verschiedener Riten, kirchengeschichtlich Interessierte.",
            "replit_md_path": "liturgie-1\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0092",
            "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
            "project": "MajorBotInterface",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "React",
              "TypeScript",
              "Tailwind CSS",
              "Express.js",
              "OpenAI GPT-4o",
              "EOD Historical Data API"
            ],
            "tags": [
              "trading-terminal",
              "ai-chat",
              "watchlist",
              "gpt-4o",
              "desktop-os",
              "dvag",
              "domvs-avrea",
              "express"
            ],
            "status": "prototype",
            "overview": "KI-gestütztes Trading-Terminal-Projekt, das in zwei parallelen Ausprägungen vorliegt: (1) `LeTerminl.html`, eine eigenständige, self-contained HTML-Seite mit einer Kommandozeilen-artigen Terminal-Oberfläche, GPT-4o-Chat, Watchlist und Quick-Commands; (2) ein React+TypeScript+Tailwind-Frontend (`client/`) mit Express-Backend (`server/`, In-Memory-Storage), das laut Projektdokumentation ein vollständiges \"Desktop-AI-Betriebssystem\" mit Fenstermanagement, Mobile-Terminal und JS-Editor werden soll. Ziel laut Eigenbeschreibung: ein \"Goldman-Sachs-Niveau\"-Trading-Terminal mit Echtzeit-Marktanalyse u...",
            "elevator_pitch": "Ein KI-gestütztes Trading-Terminal im CLI-Stil, das GPT-4o-Chat, Watchlist und Kurzbefehle in einer einzigen Oberfläche vereint — Vision eines vollwertigen \"Desktop-AI-Betriebssystems\" für DOMVS-AVREA-Trader.",
            "target_audience": "DOMVS-AVREA/Genitus-Kunden und -Berater, die eine KI-gestützte Trading-Oberfläche mit Terminal-Ästhetik nutzen wollen; intern auch als Tech-Demo für die \"Desktop-OS\"-Vision.",
            "replit_md_path": "MajorBotInterface\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0093",
            "title": "LeCode AI Coding Hub",
            "project": "MajorBotInterface-lecode",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "Drizzle ORM",
              "Neon Postgres",
              "iframe-Launcher"
            ],
            "tags": [
              "coding-hub",
              "desktop-ui",
              "launcher",
              "iframe",
              "react",
              "dev-tools",
              "window-manager"
            ],
            "status": "production-ready",
            "overview": "Desktop-artiger Coding-App-Launcher mit Windows-ähnlicher Oberfläche: draggable Windows, Taskbar, Start-Menü, Zugriff auf 9 Coding-/Entwicklungs-Anwendungen via iframe-Integration. War ursprünglich ein Fintech-App-Hub (24-27 Apps), wurde am 19. Juni 2025 komplett zu einem Coding-Hub transformiert.",
            "elevator_pitch": "Ein Windows-artiger Desktop im Browser, der 9 Coding-Tools (KI-Codegenerierung, IDEs, Security-Testing) hinter draggable Fenstern bündelt.",
            "target_audience": "Entwickler-Teams, die mehrere interne Coding-Tools unter einer Oberfläche brauchen; auch als White-Label-Entwickler-Portal.",
            "replit_md_path": "MajorBotInterface-lecode\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0094",
            "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
            "project": "MajorBotInterface-lemarche",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "Drizzle",
              "Neon PostgreSQL",
              "iframe-integration"
            ],
            "tags": [
              "desktop-launcher",
              "fintech-hub",
              "genitus",
              "iframe",
              "window-manager",
              "app-store"
            ],
            "status": "production-ready",
            "overview": "Desktop-artiger Fintech-App-Launcher im Windows-Stil: draggable Fenster, Taskbar, Start-Menue-Grid mit (laut Changelog zuletzt) 27 eingebetteten Fintech-Apps als iframe-Fenster (Trading-Bots, Analyse-Tools, Finanzdienste). React/Express-Vollversion plus mehrere eigenstaendige Standalone-Varianten (`genitus-desktop-standalone.html`, `genitus-desktop-professional.html`, `finalfintech.html`, `LOGIN.html`).",
            "elevator_pitch": "Ein Windows-artiger Desktop im Browser, der 27 Fintech-Apps als eigene Fenster buendelt — das zentrale Cockpit des Genitus-Oekosystems.",
            "target_audience": "Genitus/DOMVS-AVREA-Nutzer, die mehrere Trading-Tools parallel nutzen wollen.",
            "replit_md_path": "MajorBotInterface-lemarche\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0095",
            "title": "MarketAnalyzer - EXECUTED ORDERBOOK AI",
            "project": "MarketAnalyzer",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4",
              "Vanilla JS",
              "Express.js",
              "TypeScript",
              "EOD Historical Data API"
            ],
            "tags": [
              "orderbook",
              "breakout-trading",
              "market-data",
              "eod-api",
              "express-crud",
              "static-html",
              "neon-dashboard"
            ],
            "status": "prototype",
            "overview": "MarketAnalyzer besteht aus zwei fast unabhängigen Teilen: einem sehr dünnen Express-Backend mit generischem Markt-Daten-CRUD (ohne erkennbaren React-App-Inhalt) und einer eigenständigen, funktional vollständigen statischen Seite `orderbook-ai-standalone.html` (\"EXECUTED ORDERBOOK AI - All Markets\"). Letztere ist der einzige substanzielle Teil des Projekts: ein dunkles Neon-Dashboard, das für 13 Märkte anhand der letzten drei Freitags-Schlusskurse ein einfaches Breakout-System berechnet und \"ausgeführte\" Long/Short-Positionen mit simuliertem Euro-Gewinn listet.",
            "elevator_pitch": "Ein Neon-Dashboard, das für 13 vordefinierte Märkte (DAX, NASDAQ, Krypto, Forex etc.) automatisch \"ausgeführte\" Breakout-Trades auf Basis der letzten drei Freitags-Schlusskurse erkennt und mit simuliertem Gewinn listet.",
            "target_audience": "Retail-Trader, die einen einfachen, visuellen Wochen-Breakout-Screener über mehrere Märkte hinweg suchen, ohne eigene Analyse-Software aufzusetzen.",
            "replit_md_path": "MarketAnalyzer\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0096",
            "title": "MARKOV-TRADING // Markov Stack — Trend Rider & Gambling Suite",
            "project": "MARKOV-TRADING",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS Custom Properties",
              "Vanilla JS",
              "Google Fonts (Orbitron",
              "Fira Code)",
              "EOD Historical Data API"
            ],
            "tags": [
              "markov-chain",
              "trading",
              "gambling",
              "backtesting",
              "sports-betting",
              "crypto",
              "forex",
              "blackjack",
              "roulette",
              "static-html"
            ],
            "status": "prototype",
            "overview": "MARKOV-TRADING ist eine große, gewachsene Sammlung von über 30 eigenständigen HTML-Quant-Tools rund um Markov-Ketten-basierte Handelsmodelle (\"TREND RIDER\" / \"⚡ MARKOV STACK\"), ergänzt um einen Unterordner `MARKOV-LUCKY/` mit 17 weiteren Markov-basierten Glücksspiel-/Wett-Simulatoren (Blackjack, Roulette, Sportwetten). Alle Tools sind unabhängige Single-File-Apps ohne gemeinsamen Server, verlinkt über handgebaute Index-/Hub-Seiten. Das Projekt deckt Aktien/Indizes, Krypto, Forex, Sportwetten und Casino-Spiele ab, inklusive API-Dokumentation und eines eigenen Review-Reports.",
            "elevator_pitch": "Eine riesige Sammlung von über 47 eigenständigen Markov-Ketten-Tools für Trading (Aktien, Krypto, Forex) und Glücksspiel-Simulation (Blackjack, Roulette, Sportwetten) — alles in einem durchsuchbaren Hub.",
            "target_audience": "Quant-interessierte Retail-Trader, Wett-/Glücksspiel-Enthusiasten zum Ausprobieren von Backtesting-Tools, sowie Entwickler, die ein Referenz-Set von Markov-Chain-Implementierungen suchen.",
            "replit_md_path": "MARKOV-TRADING\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0097",
            "title": "GENITUS MCP Hub + Web Claude Code (mcp-server)",
            "project": "mcp-server",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "Node.js",
              "Express",
              "simple-git",
              "OpenAI"
            ],
            "tags": [
              "mcp",
              "developer-tools",
              "web-ide",
              "chat",
              "marketplace",
              "git"
            ],
            "status": "production-ready",
            "overview": "Interaktives Verzeichnis von Model-Context-Protocol(MCP)-Servern mit Live-Connection-Tester, echtem npm-Marketplace, Chat-UI mit Tool-Ausfuehrung, plus einer vollwertigen Web-IDE (\"Web Claude Code\") mit File-Explorer, Editor, Git-Integration und KI-Assistent.",
            "elevator_pitch": "Ein MCP-Server-Verzeichnis mit Live-Test-Funktion PLUS eine komplette Web-IDE mit Git-Integration — zwei Entwickler-Tools in einem Paket.",
            "target_audience": "Entwickler, die MCP-Server erkunden/testen wollen, und Nutzer, die eine leichte Web-basierte Code-Umgebung mit KI-Unterstuetzung brauchen.",
            "replit_md_path": "mcp-server\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0098",
            "title": "MINDSTAR // CODEBREAKER ULTIMATE",
            "project": "MINDSTAR",
            "category": "Games",
            "cluster": "Games",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "Vanilla HTML/CSS/JS",
              "Node.js Static Server"
            ],
            "tags": [
              "mastermind",
              "spiel",
              "minimax",
              "ki-solver",
              "single-page",
              "static",
              "logikspiel"
            ],
            "status": "production-ready",
            "overview": "Browser-basiertes Mastermind-Logikspiel: vier Modi (VS AI, PvP, Numbers-Variante, AI Solver), Minimax-basierte KI löst jeden Code in wenigen Zügen. Single-File-HTML/CSS/JS (`mindstar.html`), `index.html` als Redirect-Stub.",
            "elevator_pitch": "Mastermind neu gedacht: vier Spielmodi inklusive einer Minimax-KI, die jeden Code in wenigen Zügen knackt — als AI-Solver oder Gegner.",
            "target_audience": "Casual-Gamer, Logikspiel-Fans, als Kachel im `games`-Portal des Genitus-Ökosystems.",
            "replit_md_path": "MINDSTAR\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0099",
            "title": "L'ALGO NEURAL — ML Trading & Macro Intelligence",
            "project": "ML-Predictin",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Node.js",
              "Express",
              "TensorFlow.js",
              "World Bank/IMF/FRED APIs"
            ],
            "tags": [
              "lstm",
              "machine-learning",
              "trading",
              "macro-economics",
              "tensorflow",
              "prediction"
            ],
            "status": "production-ready",
            "overview": "Full-Stack Node.js/Express-App mit TensorFlow.js-LSTM-Netzwerk, das echte Markt-Kursdaten (Aktien/Krypto/Forex) laedt, ein LSTM live trainiert und die naechste Trendrichtung (UP/DOWN/NEUTRAL) mit Confidence-Score vorhersagt — ausgegeben auf einem cyberpunk-gestylten Dashboard. Zweites Dashboard \"L'ALGO MACRO\" macht dasselbe fuer Makro-Indikatoren (BIP, Inflation, Arbeitslosigkeit u.a.) aus World Bank/IMF/FRED-Daten inkl. Prognosen bis 2031.",
            "elevator_pitch": "KI sagt die naechste Kursrichtung voraus — trainiert live im Browser-Backend auf echten Markt- und Weltwirtschaftsdaten.",
            "target_audience": "Trading-Enthusiasten, Fintech-Demo-Zwecke, Bildungszwecke fuer ML-in-Finance.",
            "replit_md_path": "ML-Predictin\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0100",
            "title": "Python IDE (ModernCoder)",
            "project": "ModernCoder",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "WebSocket",
              "Monaco Editor",
              "Mistral Codestral"
            ],
            "tags": [
              "ide",
              "python",
              "code-execution",
              "monaco",
              "ai-assistant",
              "websocket",
              "terminal"
            ],
            "status": "production-ready",
            "overview": "Modernes, VS-Code-artiges Python-IDE als Full-Stack-Web-App: React-Frontend mit Monaco-Editor, Express-Backend mit WebSocket-basierter Echtzeit-Code-Ausfuehrung, Datei-Explorer, Terminal und integriertem Mistral-Codestral-KI-Assistenten. Laut eigenem Status \"voll funktionsfaehig\".",
            "elevator_pitch": "Eine VS-Code-artige Python-IDE direkt im Browser, mit eingebautem KI-Coding-Assistenten — kein lokales Setup noetig.",
            "target_audience": "Programmieranfaenger, Lehrende, Entwickler die schnell ohne lokale Umgebung Python testen wollen.",
            "replit_md_path": "ModernCoder\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0101",
            "title": "MOURINHO — Football Academy Pro / SFD '75",
            "project": "MOURINHO",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS",
              "Bootstrap 5",
              "Chart.js",
              "Python http.server"
            ],
            "tags": [
              "sports-academy",
              "static-site",
              "ebook",
              "football",
              "basketball",
              "youth-sports"
            ],
            "status": "production-ready",
            "overview": "Statische Multi-Page-Website fuer die Jugend-Fussball-/Basketball-Akademie \"SFD '75\", gebrandet als \"Football Academy Pro - Mourinho Method\". Kombiniert ein Trainings-/Akademie-Dashboard mit Werbe- und Bildungsinhalten (Fussball-Tricks-eBook auf Deutsch und Englisch, Basketball-Tricks, Sportprogramm-Uebersicht, Vereinsinfo), verbunden ueber einen Apps-Index.",
            "elevator_pitch": "Eine komplette Web-Praesenz fuer eine Jugend-Sportakademie - Dashboard, eBooks und Vereinsinfo in einem Auftritt.",
            "target_audience": "Eltern/Jugendliche der Fussball-/Basketball-Akademie \"SFD '75\" sowie Interessenten der Mourinho-Trainingsmethode.",
            "replit_md_path": "MOURINHO\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0102",
            "title": "NACHHILFE — Sprachgrammatik- & Formel-Bibliothek",
            "project": "NACHHILFE",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS/JS",
              "static"
            ],
            "tags": [
              "tutoring",
              "grammar",
              "formulas",
              "multilingual",
              "education",
              "static"
            ],
            "status": "production-ready",
            "overview": "Statische Nachhilfe-/Lernbibliothek mit Kern-Fokus auf Sprachgrammatik (5 Sprachen) und einer umfangreichen Formelsammlung, unter `NACHHILFE-EXPORT/`. Zusaetzlich existiert ein detaillierter Ausbauplan fuer einen neuen Grundschul-Bereich (Klassen 1-4), der aktuell nur als Plan/Prototypen vorliegt, nicht als fertige Seiten.",
            "elevator_pitch": "Eine 5-Sprachen-Grammatik- und Formelbibliothek fuer den Nachhilfeunterricht - mit einem durchdachten Plan fuer eine Grundschul-Erweiterung.",
            "target_audience": "Nachhilfelehrer/Schueler in Deutsch/Englisch/Franzoesisch/Latein/Spanisch sowie (kuenftig) Grundschulkinder samt Eltern.",
            "replit_md_path": "NACHHILFE\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0103",
            "title": "NEURAL-PORTFOLIO // AI-Signal Portfolio Dashboard Suite",
            "project": "NEURAL-PORTFOLIO",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML5",
              "CSS Custom Properties",
              "Vanilla JS",
              "Orbitron Font",
              "GPT-4o-mini",
              "EOD Historical Data API via Proxy"
            ],
            "tags": [
              "portfolio-tracking",
              "ai-signals",
              "gpt-4o-mini",
              "dashboard",
              "sector-allocation",
              "csv-export",
              "genussschein",
              "domvs-avrea"
            ],
            "status": "production-ready",
            "overview": "NEURAL-PORTFOLIO (deployed unter `https://neural-portfolio.replit.app`) ist eine kleine, fokussierte Suite aus vier zusammenhängenden Dashboards für Portfolio-Tracking mit KI-Signalen: eine Hauptportfolio-Ansicht mit GPT-4o-mini-gestützten Kauf/Verkauf-Signalen, ein Fund-Landingpage-Überblick, ein detaillierter Fund-Tracker sowie ein Genussschein-Tracker im Domvs-Avrea-Branding. Alle vier Seiten teilen dieselbe Neon-Navigation und sind über absolute URLs (nicht relative Links) miteinander verknüpft.",
            "elevator_pitch": "Eine schlanke Suite aus vier vernetzten Dashboards, die Portfolio-Positionen mit GPT-4o-mini-Kauf/Verkaufssignalen, Trailing-Stops und Sektor-Allokation in einem eleganten Neon-Interface zusammenführt.",
            "target_audience": "Privatanleger und DOMVS-AVREA-Kunden, die ihr Portfolio mit KI-Unterstützung überwachen und Genussschein-/Fund-Investments verfolgen wollen.",
            "replit_md_path": "NEURAL-PORTFOLIO\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0104",
            "title": "NEURAL Trading Apps — Genitus Finanz-Terminal-Sammlung",
            "project": "NEURAL-TRADING-APPS",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "Python (PYTHON-FINTECH/api_server.py)",
              "EOD/Makro-APIs"
            ],
            "tags": [
              "trading",
              "terminal",
              "sammlung",
              "neural",
              "makro",
              "zentralbank",
              "genitus",
              "static"
            ],
            "status": "production-ready",
            "overview": "Eine sehr umfangreiche Sammlung von rund 38 eigenständigen Finanz-Terminal-Tools und Sub-Sammlungen unter dem \"NEURAL\"-Cyberpunk-Branding (Genitus-Ökosystem). Enthält Asset-Manager-Terminals, Makro-/Zentralbank-Tools, ein eigenes Python-API-Backend, eine große `trading/`-Unterordner-Sammlung sowie thematisch abweichende Sub-Sammlungen (\"DUDE BANK\", \"BROWSER-API\"). **Hinweis**: Die vorherige replit.md dieses Ordners beschrieb nachweislich (per Byte-Vergleich identisch) ein komplett anderes, fachfremdes Projekt (\"Cum-Ex & Cum-Cum Educational Guide\"). Diese Version ersetzt die fehlerhafte Datei.",
            "elevator_pitch": "38 spezialisierte Finanz-Terminals — von Asset-Manager-Dashboards bis Zentralbank-Makrodaten — plus eigenem Python-Backend, alles unter einem NEURAL-Branding.",
            "target_audience": "Fortgeschrittene Trader/Analysten mit Bedarf an Nischen-Terminals (ETF, Bonds, Makro); intern als Baukasten für neue Genitus-Trading-Produkte.",
            "replit_md_path": "NEURAL-TRADING-APPS\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0105",
            "title": "GENITUS Watchlist Hub (Nice-Watchliste)",
            "project": "Nice-Watchliste",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "Static HTML",
              "EOD API"
            ],
            "tags": [
              "watchlist",
              "dividends",
              "eod-api",
              "genitus",
              "markets",
              "static"
            ],
            "status": "prototype",
            "overview": "Statischer, englischsprachiger Watchlist-Hub fuer EOD-basierte Marktbeobachtung. Die Dividenden-Tools nutzen einen verifizierten EOD-Proxy fuer Echtzeitkurse, historische Tagesschlusskurse und Dividendenhistorie. Bewusster Grundsatz: keine Erfindung von Kennzahlen (Earnings, Fundamentaldaten, Payout Ratios), wenn Upstream-Daten fehlen.",
            "elevator_pitch": "Eine ehrliche Dividenden-Watchlist, die nur zeigt, was echte Marktdaten hergeben — keine erfundenen Kennzahlen, keine falschen Versprechen.",
            "target_audience": "Dividenden-orientierte Privatanleger, Genitus-Nutzer die Transparenz ueber Datenqualitaet schaetzen.",
            "replit_md_path": "Nice-Watchliste\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0106",
            "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
            "project": "OFFICE-FREE",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Ace Editor",
              "React",
              "TypeScript",
              "Vite",
              "Tailwind CSS",
              "shadcn/ui",
              "Express.js",
              "localStorage"
            ],
            "tags": [
              "productivity-suite",
              "word-processor",
              "spreadsheet",
              "expense-tracker",
              "balance-sheet",
              "diary",
              "offline-first",
              "localstorage"
            ],
            "status": "production-ready",
            "overview": "AI Office Suite ist eine clientseitige Produktivitäts-Suite mit sieben Modulen (Word Processor, Spreadsheet/AI TABLEAU, HTML Editor, Notes & Tasks, Expense Tracker, Balance Sheet, Personal Diary), die komplett über Tab-Navigation in einer einzigen Seite läuft. Alle Daten werden ausschließlich im Browser gehalten (localStorage/IndexedDB) — es gibt keine Server-Persistenz, keinen Login, keine Datenbank. Das Projekt existiert in mehreren Ausbaustufen: eine React+Express-Version (`client/`, `server/`) sowie mehrere vollständig eigenständige Single-File-HTML-Editionen (`FINAL.html`, `AXEL-FREE.html...",
            "elevator_pitch": "Eine komplette 7-Module-Büro-Suite (Textverarbeitung, Tabellenkalkulation, HTML-Editor, Notizen, Ausgaben, Bilanz, Tagebuch), die zu 100 % im Browser läuft — kein Server, kein Login, keine Cloud nötig.",
            "target_audience": "Privatanwender, Kleinunternehmer und Freiberufler, die eine kostenlose, datenschutzfreundliche Office-Alternative ohne Cloud-Abo suchen, sowie GmbH-Buchhalter für die integrierte Bilanz-Funktion.",
            "replit_md_path": "OFFICE-FREE\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0107",
            "title": "openBB — OpenBB Terminal Proxy Platform",
            "project": "openBB",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "FastAPI",
              "Python",
              "OpenBB",
              "yfinance",
              "HTML/CSS/JS"
            ],
            "tags": [
              "trading-terminal",
              "api-proxy",
              "fundamental-analysis",
              "fastapi",
              "openbb",
              "live-deployment"
            ],
            "status": "production-ready",
            "overview": "Live deployte Fintech-Terminal-Plattform (`https://open-bb.replit.app`), bestehend aus einem FastAPI-Backend, das Finanzdaten ueber OpenBB/yfinance proxied (nativ und Yahoo-Finance-kompatibel), plus mehreren umfangreichen Frontend-Terminals (Fundamentalanalyse, Money-Manager, Neural Cockpit, Prop-Trader, TradingView-Integration).",
            "elevator_pitch": "Ein selbst gehostetes OpenBB-Terminal mit dokumentierter, key-freier API und mehreren fertigen Trading-Dashboards - live und produktiv nutzbar.",
            "target_audience": "Entwickler/Trader, die eine eigene, kostenlose Finanzdaten-API ohne Rate-Limit-Aerger mit Drittanbietern wollen, sowie Endnutzer der fertigen Terminal-Dashboards (Fundamentalanalyse, Prop-Trading).",
            "replit_md_path": "openBB\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0108",
            "title": "VectorSearch Library (OPEN-SEARCH)",
            "project": "OPEN-SEARCH",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "FastAPI",
              "sentence-transformers",
              "Transformers.js",
              "uvicorn"
            ],
            "tags": [
              "semantische-suche",
              "rag",
              "embeddings",
              "chat",
              "fastapi",
              "dokumentensuche",
              "ki"
            ],
            "status": "production-ready",
            "overview": "Semantische Suchmaschine und Dokumentenbibliothek mit lokalen Vektor-Embeddings — kein LLM/externe API zwingend nötig für die Kernsuche. Zwei Oberflächen: die leichte Haupt-VectorSearch-UI und \"megaRAG\", eine dunkle RAG-Chat-Powerhouse-App.",
            "elevator_pitch": "Eine semantische Such- und RAG-Chat-Engine, die komplett offline mit lokalen Embeddings laufen kann — keine Pflicht-API, kein Vendor-Lock-in.",
            "target_audience": "Teams mit internen Wissensdatenbanken, Entwickler, die RAG ohne Cloud-Abhängigkeit brauchen; passt ideal als Such-Layer über `deepresearch`.",
            "replit_md_path": "OPEN-SEARCH\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0109",
            "title": "Orbitron Desktop PWA (ORBITRON-BROTHERS)",
            "project": "ORBITRON-BROTHERS",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "Static HTML/CSS/JS",
              "Service Worker",
              "PWA Manifest"
            ],
            "tags": [
              "pwa",
              "desktop-shell",
              "installable",
              "orbitron",
              "offline",
              "fintech-portal"
            ],
            "status": "production-ready",
            "overview": "Statische, installierbare PWA \"Orbitron Desktop\", ausgeliefert aus `FINAL-WINDOWS/` (Entry-Point `FINAL-WINDOWS/index.html`). Der \"Overhead\"-Hub enthaelt lokale Stack-Tabs, OS/IDE-Eintraege, ein responsives Mobile-Layout und browserspezifische PWA-Installationsanleitungen. Zusaetzlich im Ordner: `globalfintech.html` (\"Orbitron Markets — GENITUS\", eigenstaendige Fintech-Portal-Seite) und ein eingebettetes `bluehost-stack-catalog`-Verzeichnis.",
            "elevator_pitch": "Der gesamte Orbitron/Genitus-Werkzeugkasten als installierbare App-artige PWA — ein Icon auf dem Homescreen statt zig Lesezeichen.",
            "target_audience": "Power-User des Genitus/DOMVS-AVREA-Oekosystems, die haeufig zwischen mehreren Tools wechseln.",
            "replit_md_path": "ORBITRON-BROTHERS\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0110",
            "title": "ORBITRON-BROTHERS (Archiv)",
            "project": "ORBITRON-BROTHERS-archiv-20260806-a",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "F",
            "tech_stack": [
              "HTML5",
              "PWA",
              "Service Worker",
              "Tailwind CSS",
              "Orbitron Font"
            ],
            "tags": [
              "pwa",
              "service-worker",
              "desktop-hub",
              "orbitron",
              "archived",
              "installable",
              "neon"
            ],
            "status": "archiv-duplikat",
            "overview": "",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "ORBITRON-BROTHERS-archiv-20260806-a\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0111",
            "title": "orbitron-maps — Ultimate Guide: Reiseführer, Karten & Weltraum-Tools",
            "project": "orbitron-maps",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "Vanilla JavaScript",
              "Font Awesome 6",
              "Google Fonts Orbitron",
              "Google Fonts Inter",
              "iframe-Dashboard-Architektur",
              "Mapbox",
              "OpenStreetMap",
              "OSRM"
            ],
            "tags": [
              "Reisefuehrer",
              "Karten",
              "Weltraum",
              "Dashboard",
              "iframe-hub",
              "Pilgerreise",
              "Trip-Planner",
              "Multi-App-Sammlung",
              "Travel"
            ],
            "status": "production-ready",
            "overview": "**WICHTIGER KORREKTURHINWEIS**: Die bisherige `replit.md` (Wurzel-Ordner) behauptete faelschlich \"Blank Project — Hello World mit reinem HTML/CSS/JS, keine externen Abhaengigkeiten\". Das ist **nachweislich falsch**: Der Unterordner `orbitron-maps/orbitron-maps/GUIDE-EXPORT/` enthaelt ein vollstaendiges, produktionsreifes Dashboard-System mit **60+ HTML-Dateien** und mehreren hundert KB echtem Content — 36 regionale Reisefuehrer, Weltraum-Tools, ein semantischer Suchindex ueber 701 Orte, ein Roadtrip-/Trip-Planner mit OSRM-Routing und ein persoenliches Bilder-Tagebuch. `GUIDE-EXPORT/index.html`...",
            "elevator_pitch": "Ein einziges Dashboard fuer 36 komplette Reisefuehrer, Weltraum-Tracking-Tools und einen KI-durchsuchbaren Index von 701 Orten — von Kroatien-Roadtrip bis ISS-Live-Tracker.",
            "target_audience": "Vielreisende/Reiseblogger als persoenliches Wissensarchiv, Reiseagenturen als White-Label-Guide-System, Pilger-/Glaubenstourismus-Zielgruppe (eigene Kategorie \"Pilger & Glaube\"), Weltraum-/Space-Enthusiasten (eigener \"Space Index\"-Mini-Hub).",
            "replit_md_path": "orbitron-maps\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0112",
            "title": "ORBITRON OS",
            "project": "ORBITRON-OS",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "Static HTML",
              "Vanilla JS",
              "iframe-Navigation"
            ],
            "tags": [
              "portal",
              "desktop-ui",
              "orbitron",
              "launcher",
              "iframe",
              "static",
              "neural"
            ],
            "status": "production-ready",
            "overview": "Statischer, responsiver \"Neural Workspace\" — Katalog-Shell (`index.html`) mit lokalen Orbitron-Modulen (`0-ORBITRON-OS/`), Module öffnen über interne iframe-Tabs statt Standalone-Navigation. Zusätzlich `ORBITRON-DESKTOP.html`: eine Windows/macOS-inspirierte responsive Desktop-Shell mit maximiertem kategorisiertem Explorer, Modul-Verknüpfungen und draggable internen Fenstern für bestehende Modul-URLs.",
            "elevator_pitch": "Das zentrale Orbitron-Portal — ein Neural-Workspace-Desktop, der alle Orbitron-Module hinter iframe-Tabs oder draggable Fenstern bündelt.",
            "target_audience": "Interne Nutzer des Orbitron/Genitus-Ökosystems als zentraler Einstiegspunkt zu allen Modulen.",
            "replit_md_path": "ORBITRON-OS\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0113",
            "title": "PerplexityMaster (Perplexity Matrix)",
            "project": "PerplexityMaster",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "Node.js",
              "Express",
              "Perplexity API"
            ],
            "tags": [
              "ai-search",
              "chatbot",
              "matrix-theme",
              "perplexity",
              "upload-stub"
            ],
            "status": "prototype",
            "overview": "KI-Such-/Chat-Interface im Matrix-Look (Gruen-auf-Schwarz-Terminal-Aesthetik), das Anfragen serverseitig an die Perplexity-AI-API weiterleiten soll (Key bleibt so vom Client fern). Express-Backend mit teilweise implementierter API; Upload-Endpunkt laut eigenem Code-Kommentar nur ein Stub.",
            "elevator_pitch": "Ein Matrix-gestyltes KI-Such-Interface, das Fragen server-seitig an Perplexity AI weiterreicht — Hacker-Aesthetik trifft echte Web-Suche.",
            "target_audience": "Tech-affine Nutzer, die eine alternative, stilisierte Perplexity-Oberflaeche wollen; Demo-Zwecke fuer KI-Suchintegration.",
            "replit_md_path": "PerplexityMaster\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0114",
            "title": "DVAG Sales Script - Corporate Level (powerSLIDES)",
            "project": "powerSLIDES",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Vanilla JS ES6 Modules",
              "MediaRecorder API",
              "OpenAI/Mistral via Proxy"
            ],
            "tags": [
              "praesentation",
              "dvag",
              "slides",
              "ai-generator",
              "screen-recording",
              "coaching",
              "static"
            ],
            "status": "production-ready",
            "overview": "Deutschsprachige Sales-Präsentationsanwendung für DVAG (Deutsche Vermögensberatung), konzipiert für Corporate-Training/Coaching. Interaktives, folienbasiertes Präsentationssystem mit synchronisierter Audiowiedergabe, Auto-Play und umfassenden Navigationssteuerungen. Von einer monolithischen 2000+-Zeilen-Datei zu einer modularen Architektur (9 Manager-Klassen) refaktoriert.",
            "elevator_pitch": "Ein modulares Präsentationssystem für DVAG-Coaching mit Audio-Sync, KI-Foliengenerator und integrierter Bildschirmaufnahme — alles ohne Framework, reines Vanilla JS.",
            "target_audience": "DVAG-Trainer/Coaches, die Präsentationen für Berater-Schulungen erstellen und aufzeichnen; Vertriebsleitung für Content-Standardisierung.",
            "replit_md_path": "powerSLIDES\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0115",
            "title": "pwa-history — Bibliotheken Hub (installierbare PWA)",
            "project": "pwa-history",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS/JS",
              "PWA",
              "Service Worker",
              "Bootstrap 5"
            ],
            "tags": [
              "pwa",
              "education-hub",
              "history",
              "latin",
              "tutoring",
              "service-worker",
              "multi-library"
            ],
            "status": "production-ready",
            "overview": "Installierbare PWA (\"Bibliotheken Hub\"), die drei unabhaengige Bildungs-Content-Bibliotheken unter einem Dach vereint: eine Geschichts-/Boersenhistorie-Bibliothek mit echtem Service-Worker-Support, eine Kirchenlatein-Lernplattform und eine Nachhilfe-Bibliothek (Englisch/Franzoesisch/Latein).",
            "elevator_pitch": "Eine installierbare PWA, die drei komplette Bildungsbibliotheken - Geschichte, Kirchenlatein, Nachhilfe - offline-faehig auf jedes Geraet bringt.",
            "target_audience": "Lernende und Lehrkraefte im Bereich Geschichte/Finanzgeschichte, Kirchenlatein (kirchliche Ausbildung/Theologiestudium) und klassische Schulfaecher-Nachhilfe (Englisch, Franzoesisch DELF, Latein).",
            "replit_md_path": "pwa-history\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0116",
            "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
            "project": "QuantumCalculator",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "Python SymPy/NumPy/SciPy",
              "PostgreSQL"
            ],
            "tags": [
              "calculator",
              "terminal-ui",
              "symbolic-math",
              "graphing",
              "api"
            ],
            "status": "production-ready",
            "overview": "Full-Stack-Rechner-Anwendung mit Terminal-Aesthetik fuer fortgeschrittene mathematische Berechnungen. React-Frontend + Express-Backend, Python-Mathe-Engine (SymPy/NumPy/SciPy) fuer symbolische Mathematik. Live produktiv unter `https://genitus-texas.replit.app` mit externer API (`/api/calc`) fuer Discord/Telegram/WordPress-Integration.",
            "elevator_pitch": "Ein Terminal-Style-Rechner mit echter symbolischer Mathematik (SymPy) und Wolfram-artigen Graphen, live als API nutzbar.",
            "target_audience": "Studenten/Entwickler, die fortgeschrittene Mathe brauchen, sowie Discord/Telegram/WordPress-Bot-Betreiber, die die externe API einbinden wollen.",
            "replit_md_path": "QuantumCalculator\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0117",
            "title": "DVAG Lern- und Trainings-Simulator",
            "project": "quizDVAG",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "Vanilla JavaScript",
              "TailwindCSS (CDN)",
              "Google Fonts (Orbitron)",
              "JSON"
            ],
            "tags": [
              "dvag",
              "gewo-lizenz",
              "quiz",
              "pruefungsvorbereitung",
              "lernsimulator",
              "34d",
              "34f",
              "34i"
            ],
            "status": "prototype",
            "overview": "Eine clientseitige Single-Page-Lernplattform (Quiz-Simulator) fuer angehende und aktive DVAG-Finanzberater, mit der Fachwissen fuer alle fuenf deutschen Gewerbeordnungs-Lizenzen (§34d/f/i/c/h GewO) trainiert werden kann. Die App praesentiert Multiple-Choice-Fragen mit Fisher-Yates-Shuffle der Antwortoptionen, Live-Score-Tracking, Kategorie-Filterung und eine ausfuehrliche Ergebnisauswertung inkl. \"Fehler wiederholen\"-Funktion. Reines Frontend (Vanilla JS + TailwindCSS-CDN), kein Backend zur Laufzeit. Branding: \"Powered by Genitus Inc.\" / Daniel Gereci, eingebettet ins DOMVS-AVREA-Markenoekosys...",
            "elevator_pitch": "Interaktiver Lern-Simulator für alle 5 deutschen GewO-Lizenzprüfungen (§34d/f/i/c/h) mit 592 Fragen, Live-Score und Kategorie-Training.",
            "target_audience": "Angehende und aktive DVAG-Finanzberater, die sich auf die IHK-Sachkundeprüfung vorbereiten.",
            "replit_md_path": "quizDVAG\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0118",
            "title": "QuoteHunter - BetOdds Pro",
            "project": "QuoteHunter",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS (CDN)",
              "React",
              "Vite",
              "Express.js",
              "TypeScript",
              "RapidAPI Odds API",
              "Mistral AI Codestral"
            ],
            "tags": [
              "sports-betting",
              "odds-comparison",
              "ai-analysis",
              "mistral-ai",
              "value-bets",
              "rapidapi",
              "demo-data"
            ],
            "status": "prototype",
            "overview": "BetOdds Pro ist eine KI-gestützte Sportwetten-Quoten-App. Sie ruft Live-Quoten über die RapidAPI-basierte \"The Odds API\" ab, deckt mehrere Sportarten (MLB, Tennis/ATP-WTA, Fußball, MLS, Boxen u.a.) und mehrere Buchmacher ab, und lässt eine KI (Mistral AI, Modell `codestral-latest`) Quoten auf \"Value Bets\" bewerten. Für Sportarten ohne freien API-Zugang generiert der Server plausible Demo-Quoten. Es existieren zwei nahezu identische Frontends: die React/Vite-App und die eigenständige Tailwind-CDN-Version `FINAL.html`.",
            "elevator_pitch": "BetOdds Pro ist eine KI-gestützte Sportwetten-App, die Live-Quoten mehrerer Buchmacher vergleicht und mittels Mistral-KI \"Value Bets\" mit Konfidenz-Score identifiziert.",
            "target_audience": "Sportwetten-Enthusiasten und Value-Betting-affine Nutzer, die eine mobile-optimierte Quoten-Übersicht mit KI-Einschätzung suchen.",
            "replit_md_path": "QuoteHunter\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0119",
            "title": "Neural Streaming Platform (Radio)",
            "project": "Radio",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "Static HTML/CSS/JS",
              "Tailwind",
              "RadioBrowser API",
              "iTunes API",
              "IPTV M3U"
            ],
            "tags": [
              "radio",
              "podcasts",
              "tv",
              "streaming",
              "youtube",
              "static",
              "no-backend",
              "media"
            ],
            "status": "production-ready",
            "overview": "Eine 4-App Neural-Streaming-Plattform (Radio, Podcasts, TV, YouTube) mit modernem Orbitron-Typo, Cyan/Purple-Glow und Glassmorphism-UI. Alle Apps sind reines Client-Side-HTML ohne Backend — \"Zero backend required\" ist explizit dokumentiert. Laut eigenem Status \"✅ Complete & Production-Ready\".",
            "elevator_pitch": "Radio, Podcasts, Live-TV und YouTube in einer einzigen, werbefreien, komplett kostenlosen Streaming-Oberflaeche — ganz ohne eigenen Server.",
            "target_audience": "Medien-Konsumenten, die eine schnelle, aufgeraeumte Alternative zu Spotify/Radio-Apps wollen; Entwickler als Referenz fuer \"Zero-Backend\"-Architektur.",
            "replit_md_path": "Radio\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0120",
            "title": "RandomStockTrader — Random Stock Analysis (Coin Toss Trading)",
            "project": "RandomStockTrader",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Python",
              "Streamlit",
              "yfinance",
              "Plotly"
            ],
            "tags": [
              "anti-bias",
              "coin-toss",
              "backtesting",
              "streamlit",
              "trading-psychology"
            ],
            "status": "production-ready",
            "overview": "Streamlit-basiertes \"Anti-Bias\"-Trading-System, das per reinem Zufall (Coin-Toss-Methodik) LONG/SHORT-Handelsempfehlungen generiert, um psychologische Verzerrungen und emotionale Entscheidungen zu vermeiden. Enthaelt echte Marktdatenanbindung und ein Backtesting-Modul zur Bewertung der Zufallsstrategie ueber historische Daten.",
            "elevator_pitch": "Ein Trading-Tool, das bewusst NICHT versucht klueger als der Markt zu sein - reiner Zufall gegen deinen eigenen Bias, mit Backtest-Beweis.",
            "target_audience": "Trader, die ihre eigene emotionale/verzerrte Entscheidungsfindung hinterfragen wollen, sowie Trading-Psychologie-Lehrende.",
            "replit_md_path": "RandomStockTrader\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0121",
            "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
            "project": "ResponsiveCacheHandler",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Python",
              "Flask",
              "jQuery",
              "Bootstrap",
              "Lightweight Charts",
              "Chart.js",
              "HTML5",
              "Vanilla JS"
            ],
            "tags": [
              "stock-analysis",
              "candlestick-chart",
              "watchlist",
              "flask",
              "genitus",
              "golden-cross",
              "multi-country",
              "proxy-api"
            ],
            "status": "prototype",
            "overview": "Eine Flask-Anwendung zur Aktienanalyse mit Candlestick-Charts und einfacher Symbol-Eingabe. Neben der Haupt-Flask-App gibt es zwei eigenständige HTML-Erweiterungen desselben Ökosystems: `BIG_WATCH.html` (\"GENITUS INTERNATIONAL MARKETS\") — eine große, mehrsprachige Multi-Symbol-Watchlist mit Chart-Modal — und eine per Export-Route erzeugbare Offline-Standalone-Version. Das Projekt gehört sichtbar zum \"GENITUS\"/\"DOMVS AVREA O.P.N\"-Marken-Ökosystem des Nutzers (vgl. StockGptIntelligence, dessen `watchlist.htm` identisches Design-System teilt).",
            "elevator_pitch": "Ein Aktienanalyse-Chatbot mit Candlestick-Charts (Flask-App) plus eine große mehrsprachige \"GENITUS International Markets\"-Watchlist über 7+ Länder und hunderte Symbole mit Golden-Cross-Signalanalyse.",
            "target_audience": "Genitus/DOMVS-AVREA-Kunden und internationale Anleger, die eine länderübergreifende Watchlist mit technischer Signalanalyse (SMA/Golden Cross) suchen.",
            "replit_md_path": "ResponsiveCacheHandler\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0122",
            "title": "Der Heilige Rosenkranz — Bildgebetnis",
            "project": "ROSENKRANZ",
            "category": "Religioes",
            "cluster": "Religioes",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML"
            ],
            "tags": [
              "rosenkranz",
              "gebet",
              "religion",
              "katholisch",
              "static",
              "andacht",
              "bildgebetnis"
            ],
            "status": "production-ready",
            "overview": "Eine einzelne statische Seite zum Heiligen Rosenkranz-Gebet (\"Bildgebetnis\" — bildgestützte Gebetsanleitung), 594 Zeilen HTML. Kein Backend, kein Framework. **Hinweis**: Die vorherige replit.md-Datei in diesem Ordner beschrieb fälschlich ein komplett anderes Projekt (\"Cum-Ex & Cum-Cum Educational Guide\" — ein Steuerthema-Guide, nachweislich per Byte-Vergleich identisch mit der falsch zugeordneten Datei in mehreren anderen Projektordnern). Diese Version ersetzt die fehlerhafte Datei und beschreibt den tatsächlichen Ordnerinhalt.",
            "elevator_pitch": "Eine bildgestützte, digitale Anleitung zum Rosenkranzgebet — die klassische Andacht in modernem, zugänglichem Webformat.",
            "target_audience": "Katholische Gläubige, Katechese/Erstkommunion-Vorbereitung, Gemeinden für digitale Andachtsangebote.",
            "replit_md_path": "ROSENKRANZ\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0123",
            "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
            "project": "SalesSymphony",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "Drizzle ORM",
              "OpenAI GPT-4o-mini",
              "DALL-E 3",
              "Bland AI"
            ],
            "tags": [
              "sales",
              "marketing",
              "ki-content",
              "e-mail",
              "leads",
              "crm",
              "templates",
              "react"
            ],
            "status": "production-ready",
            "overview": "Full-Stack KI-gestützte Sales-/Marketing-Plattform für Domvs Avrea O.P.N: einheitliche KI-Content-Generierung über Sales-Chat, E-Mail-Templates, Social-Media-Posts, Videoskripte und automatisierte Telefonanrufe. Umfangreiche, mehrfach als \"produktionsreif\" getestete Lead-Datenbank (6.000 Leads).",
            "elevator_pitch": "50 fertige KI-Sales-Templates, ein 6.000-Lead-CRM und automatisierte Voice-Calls — alles über eine zentrale KI-Content-Engine.",
            "target_audience": "B2B-Vertriebsteams, Growth-/Marketing-Agenturen, Fintech-/Enterprise-Sales-Organisationen.",
            "replit_md_path": "SalesSymphony\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0124",
            "title": "Samsung-made Index Organizer (samsung-made)",
            "project": "samsung-made",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "Vanilla JS"
            ],
            "tags": [
              "index-organizer",
              "sammlung",
              "static",
              "misc-tools",
              "quiz",
              "guides"
            ],
            "status": "production-ready",
            "overview": "Ein funktionierender, JS-gesteuerter Datei-Index-Organizer (`index.html`), der dynamisch auf eine Sammlung von 18 eigenständigen, thematisch sehr unterschiedlichen HTML-Tools im Unterordner `Samsung-made/` verlinkt. **Hinweis**: Die vorherige replit.md dieses Ordners beschrieb nachweislich (per Byte-Vergleich identisch) ein komplett anderes, fachfremdes Projekt (\"Cum-Ex & Cum-Cum Educational Guide\"). Diese Version ersetzt die fehlerhafte Datei.",
            "elevator_pitch": "Ein leichtgewichtiger, automatisch generierter Index für eine bunte Sammlung von 18 fertigen HTML-Tools — von Quiz über Reisetipps bis Compliance-Dashboard.",
            "target_audience": "Interner Gebrauch als persönliche/team-interne Werkzeugsammlung; einzelne Tools (z.B. Kreditkartenvergleich, Compliance-Dashboard) könnten auch eigenständig an Endnutzer ausgeliefert werden.",
            "replit_md_path": "samsung-made\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0125",
            "title": "Orbitron Chess / Deep Orbitron Chess Tutor (schach-meisger)",
            "project": "schach-meisger",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML/CSS/JS",
              "Stockfish (WASM/Worker)",
              "Gemini API"
            ],
            "tags": [
              "chess",
              "ai-coaching",
              "stockfish",
              "gemini",
              "rag",
              "learning",
              "puzzles"
            ],
            "status": "production-ready",
            "overview": "Umfangreiche Schach-Coaching-Anwendung \"Orbitron Chess\" / \"Deep Orbitron Chess Tutor\": eine browserseitige Stockfish-Engine liefert belastbare numerische Evaluationen (\"Evidence-Layer\"), waehrend ein Gemini-KI-Modell die verstaendliche Coaching-Ebene uebernimmt — bewusst getrennt, damit die KI keine erfundenen Engine-Werte praesentiert. Zusaetzlich ein lokaler RAG-Modus, der Stellungen mit fuenf validierten Meisterpartien vergleicht.",
            "elevator_pitch": "Ein Schach-Tutor, der niemals luegt — echte Stockfish-Zahlen fuer die Fakten, KI nur fuer die verstaendliche Erklaerung, strikt getrennt.",
            "target_audience": "Schachlernende aller Staerken, die einen KI-Coach wollen, dem sie bei den Zahlen vertrauen koennen.",
            "replit_md_path": "schach-meisger\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0126",
            "title": "secureALL — DVAG Beratungstrainer",
            "project": "secureALL",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Express.js",
              "OpenAI GPT-4",
              "HTML/CSS/JS",
              "Tailwind CSS"
            ],
            "tags": [
              "dvag",
              "sales-training",
              "crm",
              "chatbot",
              "roleplay",
              "tts",
              "function-calling"
            ],
            "status": "production-ready",
            "overview": "KI-gestuetzte Trainingsplattform fuer Finanzberater mit integriertem CRM-System. Kombiniert realistische Gespraechssimulationen (Kunde/Berater-Rollenspiel) mit CRM-Funktionen zur Automatisierung von Outreach-Massnahmen (E-Mails, LinkedIn-Posts, Follow-ups). Laeuft vollstaendig auf `secure-all.replit.app` zur Vermeidung von Port-Konflikten.",
            "elevator_pitch": "Ein KI-Kunde zum Ueben von Verkaufsgespraechen PLUS ein CRM, das direkt aus dem Gespraech heraus Follow-up-E-Mails und LinkedIn-Posts generiert.",
            "target_audience": "DVAG-Finanzberater (und uebertragbar auf andere Vertriebsorganisationen) zur Gespraechs-Trainingssimulation und CRM-gestuetzten Kundenkommunikation.",
            "replit_md_path": "secureALL\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0127",
            "title": "Orderbook AI (SlideSwapViewer)",
            "project": "SlideSwapViewer",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "Python",
              "Flask",
              "Bootstrap 4"
            ],
            "tags": [
              "orderbook",
              "market-overview",
              "flask",
              "indices",
              "sectors",
              "ai-analysis"
            ],
            "status": "prototype",
            "overview": "Flask-Anwendung \"Orderbook AI\" zur Marktuebersicht ueber Indizes, Branchen und Anlageklassen: Dropdown-Auswahl fuer deutsche Indizes (DAX, MDAX, TECDAX), US-Indizes/Branchen, europaeische Indizes/Branchen, Krypto und Forex, plus manuelle Symbolsuche mit KI-Analyse-Button. Verweist auf eine verwandte \"EXECUTED\"-App (`orderbook-ai-executed.replit.app`).",
            "elevator_pitch": "Ein Markt-Cockpit, das per Dropdown zwischen DAX, Dow, Krypto und mehr wechselt und auf Knopfdruck eine KI-Analyse zum gewaehlten Symbol liefert.",
            "target_audience": "Trader, die einen schnellen Ueberblick ueber verschiedene Anlageklassen ohne mehrere Tabs wollen.",
            "replit_md_path": "SlideSwapViewer\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0128",
            "title": "NEURAL GAMES HUB (SPIELESAMMLUNG)",
            "project": "SPIELESAMMLUNG",
            "category": "Games",
            "cluster": "Games",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "Static HTML/CSS/JS"
            ],
            "tags": [
              "games",
              "arcade",
              "hub",
              "neural",
              "cyberpunk",
              "static",
              "casino",
              "boardgames"
            ],
            "status": "production-ready",
            "overview": "Zentrale Spiele-Hub-Seite \"NEURAL GAMES HUB // v6.0\" — laut eigener Meta-Description \"49 KI-generierte Browser-Games im Cyberpunk-Style\". Enthaelt einen eingebetteten `1agames`-Ordner mit den eigentlichen Spieldateien sowie eine zusaetzliche `MINI-GAMES.html`. **Wichtiger Korrekturhinweis**: Die vorherige replit.md dieses Ordners beschrieb faelschlich ein \"Cum-Ex & Cum-Cum Educational Guide\" — ein voellig anderes, nicht zum Ordnernamen/Inhalt passendes Thema. Diese Version ersetzt jenen fehlerhaften Stand durch eine am tatsaechlichen Code verifizierte Beschreibung.",
            "elevator_pitch": "Ein kuratierter Hub fuer 49 Cyberpunk-Browser-Spiele, kategorisiert nach Arcade/Casino/Brett/Karten/Strategie — ein Klick zum Spielen, kein Download.",
            "target_audience": "Arcade-Fans, Portfolio-/Demo-Zwecke, White-Label-Lizenzierung fuer Mini-Game-Sammlungen.",
            "replit_md_path": "SPIELESAMMLUNG\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0129",
            "title": "StockComparator — Stock Analysis Chatbot / Professional Trading Analysis Platform",
            "project": "StockComparator",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "TypeScript",
              "Vite",
              "Express",
              "OpenAI GPT",
              "Tailwind CSS"
            ],
            "tags": [
              "trading",
              "stock-comparison",
              "chatbot",
              "spread-analysis",
              "openai",
              "dashboard",
              "react",
              "express"
            ],
            "status": "production-ready",
            "overview": "Aktienanalyse-App, die zwei Instrumente/Aktien gegenueberstellt und mittels OpenAI GPT eine textuelle Vergleichsanalyse liefert - inklusive Volatilitaetsberechnung sowie automatisch abgeleiteten Stop-Loss- und Take-Profit-Marken je nach Out-/Underperformance. Existiert als React/Vite-App plus eine grosse eigenstaendige Standalone-HTML-Version.",
            "elevator_pitch": "Gib zwei Aktien ein, und die KI sagt dir in Klartext, welche gerade die staerkere ist - inklusive fertiger Stop-Loss-/Take-Profit-Marken.",
            "target_audience": "Privatanleger und Trading-Einsteiger, die zwei Werte (z.B. Branchen-Konkurrenten) schnell gegenueberstellen wollen, ohne selbst Kennzahlen zu berechnen.",
            "replit_md_path": "StockComparator\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0130",
            "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
            "project": "StockGptIntelligence",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "Express",
              "Node.js",
              "TypeScript",
              "EOD Historical Data API",
              "OpenAI GPT-4o-mini",
              "Chart.js",
              "React/Vite",
              "Vanilla JS"
            ],
            "tags": [
              "genitus",
              "stock-watchlist",
              "ticker-search",
              "ai-assistant",
              "gpt-4o-mini",
              "chart-js",
              "fragmented-ui",
              "eod-data"
            ],
            "status": "prototype",
            "overview": "StockGptIntelligence ist die umfangreichste App der \"GENITUS\"-Trading-Produktfamilie im Bestand: ein Express/TypeScript-Server mit echter DB-Anbindung (`server/db.ts`), der die EOD Historical Data API für Börsen-/Ticker-Daten anbindet und einen OpenAI-GPT-4o-mini-Chat-Assistenten für Aktienanalysen integriert. Das Projekt liegt jedoch fragmentiert vor: mehrere parallele HTML-Oberflächen (`finalticker.html`, `watchlist.htm`, `watchlist-MIXED.html`) bilden unterschiedliche, nebeneinander existierende UI-Ausbaustufen desselben Produkts ab statt einer einzigen finalen Version.",
            "elevator_pitch": "Ein Ticker-Such- und Watchlist-Terminal mit eingebautem GPT-4o-mini-Finanzassistenten — Aktie eingeben, Chart sehen, KI nach Geschäftsmodell/Risiken/Kennzahlen fragen.",
            "target_audience": "Privatanleger und Trading-Enthusiasten, die eine schnelle Ticker-Recherche mit KI-Erklärung statt reiner Rohdaten-Tabellen wollen; passt zur restlichen GENITUS-Produktfamilie (Crypto-Dashboards, Command-Center) im selben Bestand.",
            "replit_md_path": "StockGptIntelligence\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0131",
            "title": "STOCK-HTML5-REPORTS - Curated HTML5 Research Reports",
            "project": "STOCK-HTML5-REPORTS",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Python-Generator"
            ],
            "tags": [
              "research-report",
              "static",
              "self-contained",
              "offline",
              "equity-report"
            ],
            "status": "production-ready",
            "overview": "Keine interaktive Web-App, sondern eine kleine Sammlung eigenstaendiger, druckfreundlicher HTML5-Research-Reports, generiert aus vollstaendigen Datenschnappschuessen der Haupt-App (Snapshot-JSON, z.B. `STOCK-SLIDES-TEMPLATES/raw-data/complete-json/NVDA_snapshot.json`). Dient als Ausgabeformat einer groesseren, hier nicht enthaltenen Datenpipeline.",
            "elevator_pitch": "Ein vollstaendig eigenstaendiger, offline-faehiger HTML5-Aktienreport - eine Datei, alle Daten eingebettet.",
            "target_audience": "Analysten/Research-Teams, die Reports einfach per E-Mail/USB-Stick teilen wollen, ohne Web-Hosting.",
            "replit_md_path": "STOCK-HTML5-REPORTS\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0132",
            "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
            "project": "StockSentinel",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Streamlit",
              "FastAPI/Starlette",
              "yfinance",
              "Plotly",
              "Python"
            ],
            "tags": [
              "aktienanalyse",
              "streamlit",
              "dcf",
              "kennzahlen",
              "watchlist",
              "dashboard",
              "python"
            ],
            "status": "production-ready",
            "overview": "Multi-Page-Streamlit-App für intelligente Aktienanalyse mit dunkler \"Neural Fintech\"-UI. Ein schlanker FastAPI/Starlette-Edge-Proxy (`proxy_server.py`) sitzt vor Streamlit und liefert zusätzlich direkte Yahoo-Finance-JSON-Endpunkte sowie ein Standalone-HTML5-Cockpit. Der Ordner enthält zusätzlich ältere `WATCHLIST*.html`-Dateien einer früheren Projektphase.",
            "elevator_pitch": "Ein Aktienanalyse-Cockpit mit sieben Modulen — von Live-Charts über DCF-Bewertung bis Risiko-Metriken — und einem 1.735-Symbole-Universum.",
            "target_audience": "Fundamentalanalyse-orientierte Privatanleger, Finance-Studierende, als Analyse-Backend für andere Genitus-Fintech-Produkte.",
            "replit_md_path": "StockSentinel\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0133",
            "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
            "project": "StockSentinel (1)",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Python",
              "Streamlit",
              "yfinance",
              "Plotly"
            ],
            "tags": [
              "stocks",
              "streamlit",
              "fundamental-analysis",
              "dcf",
              "watchlist",
              "ticker-universe",
              "dashboard"
            ],
            "status": "production-ready",
            "overview": "Multi-Page-Streamlit-App fuer intelligente Aktienanalyse mit kuratiertem Lightmode und optionaler \"Neural Fintech\" Darkmode-UI. Acht Module: Cockpit/Home, Charts, Bilanzanalyse, Kennzahlen, Bewertung (DCF), Vergleich, Watchlist, Ticker-Browser, Export-Center. Ticker-Universum von 1.700+ kuratierten Symbolen weltweit.",
            "elevator_pitch": "Ein Aktienanalyse-Cockpit mit Bilanz, DCF-Bewertung, Risikometriken und 1.700+ Ticker-Universum — alles in einer Streamlit-App, ohne Excel-Gefrickel.",
            "target_audience": "Fundamentalanalyse-orientierte Privatanleger, Finanzberater, Le-Marché/Genitus-Nutzer.",
            "replit_md_path": "StockSentinel (1)\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0134",
            "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
            "project": "STOCK-SLIDES-TEMPLATES",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML",
              "CSS",
              "Vanilla JS",
              "Google Fonts",
              "Python (Generator-Skript",
              "extern)"
            ],
            "tags": [
              "stock-analysis",
              "slide-deck",
              "template-collection",
              "cyberpunk",
              "swiss-editorial",
              "bloomberg-terminal",
              "dcf",
              "fundamentals",
              "curated-data"
            ],
            "status": "production-ready",
            "overview": "Kein interaktives Web-App-Projekt, sondern eine kuratierte Sammlung von 51 eigenständigen, selbstenthaltenen HTML-\"Slide-Decks\" (Präsentations-Folien) zu einzelnen Aktien: 10 Stil-Master-Vorlagen in unterschiedlichen visuellen Designsprachen, angewendet auf 41 tickerspezifische Decks (AAPL, MSFT, TSLA, AMZN, GOOGL, META, NVDA, JPM u. v. a.). Jedes Deck wird aus einem kanonischen JSON-Snapshot pro Ticker neu gerendert, fehlende Werte bleiben explizit `N/A` statt erfunden zu werden — das Projekt legt dokumentiert Wert auf Daten-Ehrlichkeit statt Fantasiewerten.",
            "elevator_pitch": "PowerPoint für Aktienanalysen\" als Klick-durch-Folien-Deck im Browser — zehn fertige Design-Sprachen, jederzeit auf jeden Ticker mit echten Fundamentaldaten anwendbar.",
            "target_audience": "Finanzanalysten, Investor-Relations-Teams, Content-Ersteller für Finfluencer-Content, Vertriebsteams (z. B. Bank-/Vermögensberater), die schnell professionell wirkende Aktien-Kurzprofile brauchen.",
            "replit_md_path": "STOCK-SLIDES-TEMPLATES\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0135",
            "title": "summa — Philosophia et Theologia Salutis",
            "project": "summa",
            "category": "Religioes",
            "cluster": "Religioes",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "Vanilla JavaScript",
              "Google Fonts Playfair Display",
              "Google Fonts EB Garamond"
            ],
            "tags": [
              "Theologie",
              "Philosophie",
              "Thomas-von-Aquin",
              "eBook",
              "Scholastik",
              "Katholisch",
              "Latein",
              "KDP",
              "Selfpublishing"
            ],
            "status": "production-ready",
            "overview": "Statisches eBook-/Website-Projekt zur Philosophie und Theologie des Heils, aufgebaut um das Denken des Thomas von Aquin. `index.html` ist **tatsaechlich vollstaendig fertig** — 5.628 Zeilen mit acht kompletten \"Teil\"-Abschnitten von der Erkenntnistheorie bis zur Synthesis, durchgaengig mit lateinischen Originalzitaten, Quellenangaben (Summa Theologiae, De Veritate, Konzil von Trient) und didaktischen Textboxen (Definition/Beispiel/Wichtig/Reflexion). Zusaetzlich `kdp.html` (339 Zeilen) als \"eBook Masterplan\" fuer die Selfpublishing-Vermarktung via Amazon KDP.",
            "elevator_pitch": "Ein vollstaendiges, wissenschaftlich sauber zitiertes Thomas-von-Aquin-eBook — von Erkenntnistheorie bis Sakramentenlehre — im eleganten Buchdesign, sofort KDP-vermarktungsfaehig.",
            "target_audience": "Katholische Bildungseinrichtungen, Theologiestudierende, Konvertiten/Glaubensinteressierte, Selfpublishing-Markt (Amazon KDP), Homeschooling im katholischen Kontext.",
            "replit_md_path": "summa\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0136",
            "title": "SymbolAnalyzer — LEMOMENT API / NEURAL MATRIX Trading Tools",
            "project": "SymbolAnalyzer",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Python",
              "Flask",
              "flask_cors",
              "HTML/CSS/JS"
            ],
            "tags": [
              "trading",
              "api",
              "dashboard",
              "candlestick",
              "terminal-ui",
              "flask",
              "api-key-auth",
              "scanner"
            ],
            "status": "production-ready",
            "overview": "Buendelt eine Flask-basierte Trading-API (\"LEMOMENT API\") mit mehreren clientseitigen \"NEURAL MATRIX\"-Trading-Oberflaechen. In-Memory-Caching (Kurscache, separater Historien-Cache), Symbolvalidierung per Regex und API-Key-geschuetzte Routen.",
            "elevator_pitch": "Eine dokumentierte, API-Key-geschuetzte Trading-Daten-API im Cyberpunk-Terminal-Look, plus fertige Live-Execution-Dashboards obendrauf.",
            "target_audience": "Entwickler/Trading-Bastler, die eine eigene, gecachte Kursdaten-API mit klarer Doku brauchen, sowie Trader, die ein sofort nutzbares \"Live Execution\"-Dashboard wollen.",
            "replit_md_path": "SymbolAnalyzer\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0137",
            "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
            "project": "TENSOR-FLOW",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Node.js",
              "Express",
              "TensorFlow.js",
              "LSTM",
              "Lightweight Charts",
              "Vanilla JS",
              "Orbitron",
              "JetBrains Mono",
              "World Bank API",
              "IMF WEO API",
              "FRED API",
              "yahoo-finance2",
              "Finnhub",
              "node-cache"
            ],
            "tags": [
              "trading",
              "macro-economics",
              "LSTM",
              "neural-network",
              "cyberpunk-ui",
              "dashboard",
              "World-Bank",
              "IMF",
              "FRED",
              "TensorFlow.js"
            ],
            "status": "prototype",
            "overview": "Full-stack Node.js/Express Anwendung mit einem TensorFlow.js LSTM-Neuronalnetz, das (1) echte Marktkurse (Aktien, Krypto, Forex) laedt, (2) ein LSTM-Modell live auf historischen OHLCV-Daten trainiert, (3) die naechste Trendrichtung (UP/DOWN/NEUTRAL) mit Konfidenzwert vorhersagt und (4) alles auf einem Cyberpunk-Dashboard darstellt. Ein zweites Dashboard (\"L'ALGO MACRO\") macht dasselbe fuer makrooekonomische Indikatoren (BIP, Inflation, Arbeitslosigkeit, Staatsschulden) mit Daten von World Bank, IMF WEO und FRED, inklusive Prognosen bis 2031. Das `public/`-Verzeichnis enthaelt tatsaechlich deut...",
            "elevator_pitch": "Ein KI-Analyst, der in Sekunden ein neuronales Netz auf Live-Marktdaten oder Weltbank-Makrodaten trainiert und dir sagt, wohin es geht — mit Konfidenzscore, nicht nur Bauchgefuehl.",
            "target_audience": "Privatanleger/Trader mit technischem Interesse, Fintech-Demo-Publikum, Makro-affine Analysten, Portfolio dieser Fintech-Sammlung als \"Wir koennen echtes ML\" Showcase.",
            "replit_md_path": "TENSOR-FLOW\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0138",
            "title": "Genitus Trading Dashboard (TraderDashboard)",
            "project": "TraderDashboard",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Vite",
              "Express",
              "Zod",
              "TypeScript"
            ],
            "tags": [
              "portfolio",
              "positionen",
              "crud",
              "react",
              "express",
              "genitus",
              "dashboard"
            ],
            "status": "prototype",
            "overview": "Portfolio-/Positions-Dashboard aus der \"Genitus\"-Produktfamilie. Express-Server mit CRUD-Routen für Handelspositionen, vorbereiteten Schemas für Marktdaten/Handelshistorie/Nutzereinstellungen, plus einer eigenständigen, umfangreicheren Standalone-HTML-Version.",
            "elevator_pitch": "Ein schlankes Positions-CRUD-Dashboard für das Genitus-Trading-Ökosystem — echte API, Zod-validiert, mit fertiger Standalone-Portfolio-Ansicht.",
            "target_audience": "Genitus-interne Nutzer zur Positionsverwaltung; als Baustein für ein größeres Portfolio-Management-Produkt.",
            "replit_md_path": "TraderDashboard\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0139",
            "title": "TravelGPT (TravelMate)",
            "project": "TravelMate",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Vite",
              "Express",
              "Universal AI Proxy"
            ],
            "tags": [
              "travel",
              "ai-companion",
              "chat",
              "proxy",
              "react",
              "express",
              "destinations"
            ],
            "status": "production-ready",
            "overview": "KI-gestuetzter Reisebegleiter (React+Vite-Frontend, Express-Backend, In-Memory-Storage). Alle KI-/Datenaufrufe laufen ueber den \"Universal AI & Financial Data Proxy\" (`theserver-open-ai.replit.app`, 98 Endpunkte ueber OpenAI, Mistral, Claude, Perplexity, Gemini, RapidAPI, EOD Historical Data) — keine lokalen API-Keys noetig.",
            "elevator_pitch": "Ein KI-Reisebegleiter, der Ziele empfiehlt, Kultur-Infos liefert und per Chat/Sprache antwortet — ganz ohne eigene API-Key-Verwaltung dank zentralem Proxy.",
            "target_audience": "Reisende, die eine KI-gestuetzte Planungshilfe wollen; Demo-Zwecke fuer die Universal-AI-Proxy-Architektur.",
            "replit_md_path": "TravelMate\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0140",
            "title": "TrendPulse — Stock Analysis Chatbot (EOD-Proxy)",
            "project": "TrendPulse",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "React",
              "TypeScript",
              "Vite",
              "Express",
              "EOD Historical Data API"
            ],
            "tags": [
              "trading",
              "eod-proxy",
              "react",
              "express",
              "minimal",
              "scaffold",
              "stock-data"
            ],
            "status": "prototype",
            "overview": "Schlanke React/Vite-App mit Express-Backend, deren einzige dokumentierte Aufgabe ein serverseitiger Proxy zur EOD Historical Data API ist. Wirkt wie ein frueher/minimaler Entwicklungsstand oder ein reduziertes Grundgeruest innerhalb der \"Stock Analysis Chatbot\"-Projektfamilie.",
            "elevator_pitch": "Ein schlanker CORS-Proxy fuer End-of-Day-Aktienkurse - die Grundlage, auf der umfangreichere Trading-Tools aufsetzen koennen.",
            "target_audience": "intern, als Bauteil/Startpunkt fuer weitere Trading-Apps im selben Oekosystem, nicht als eigenstaendiges Endkundenprodukt zu vermarkten.",
            "replit_md_path": "TrendPulse\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0141",
            "title": "Map Projections: Theory, History, and Accuracy (truthmap)",
            "project": "truthmap",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Static HTML",
              "Tailwind CSS"
            ],
            "tags": [
              "ebook",
              "kartografie",
              "bildung",
              "static",
              "tailwind",
              "wissenschaft",
              "geografie"
            ],
            "status": "production-ready",
            "overview": "Ein digitales eBook, das die Wissenschaft und Politik der Kartografie erkundet — Kartenprojektionen, deren historische Entwicklung und Verzerrungsproblematik. Nutzt Tailwind CSS und hochauflösende, authentische Public-Domain-Kartenbilder von NASA und Wikimedia Commons.",
            "elevator_pitch": "Ein visuell aufwendiges digitales eBook, das erklärt, warum jede Weltkarte lügt — von Mercator über Gall-Peters bis zum Tissot-Indikator, mit echten NASA-/Wikimedia-Kartenbildern.",
            "target_audience": "Geografie-/Kartografie-Studierende, Bildungseinrichtungen, an Wissenschaftsgeschichte Interessierte, Journalismus/Redaktionen für Faktencheck-Kontext zu Kartendarstellungen.",
            "replit_md_path": "truthmap\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0142",
            "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
            "project": "tts-batch",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "PostgreSQL",
              "Drizzle",
              "OpenAI TTS/STT"
            ],
            "tags": [
              "text-to-speech",
              "speech-to-text",
              "openai",
              "whisper",
              "audio",
              "transcription"
            ],
            "status": "production-ready",
            "overview": "Moderne Web-App fuer fortgeschrittene Text-to-Speech(TTS)- und Speech-to-Text(STT)-Faehigkeiten mit OpenAIs neuesten Audio-APIs: GPT-4o-Transkriptionsmodelle, Echtzeit-Streaming, erweitertes Prompting, wortgenaue Zeitstempel und mehrere Stimmoptionen. React-Frontend + Express-Backend, TypeScript durchgaengig.",
            "elevator_pitch": "Text in natuerliche Sprache verwandeln oder Audio in praezisen Text — mit den neuesten OpenAI-Modellen (GPT-4o-Transcribe, nicht nur altem Whisper) und sechs Premium-Stimmen.",
            "target_audience": "Content-Ersteller, Podcaster (Verknuepfung zu `podcast.html` im selben Ordner), Barrierefreiheits-Anwendungen, Entwickler die TTS/STT-Demos brauchen.",
            "replit_md_path": "tts-batch\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0143",
            "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
            "project": "VAULTY",
            "category": "DVAG-Versicherung",
            "cluster": "DVAG-Versicherung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Web Crypto API (AES-256-GCM",
              "PBKDF2)",
              "PDF.js",
              "GPT-4o-mini",
              "Calendly",
              "localStorage"
            ],
            "tags": [
              "budget-coach",
              "dvag",
              "ai-chat",
              "pdf-anonymizer",
              "encryption",
              "pwa",
              "gamification",
              "dsgvo",
              "allfinanz"
            ],
            "status": "prototype",
            "overview": "Vaulty ist ein KI-gestützter Budget-Coach im Retro-Terminal-Look, der Nutzer:innen anhand der DVAG-Allfinanz-Regel \"30-30-30-10\" (Fixkosten/Konsum/Sparen/Schutz) durch ihre Finanzen führt — per Chat, Live-Slidern und einem 30-Jahres-Vermögensprognose-Panel. Ergänzt wird die App durch einen eigenständigen PDF-Kontoauszug-Anonymizer (`extractor.html`), der Kontoauszüge/Policen client-seitig anonymisiert, bevor Daten an eine KI weitergereicht werden. Die App ist als installierbare PWA mit 4 Themes, verschlüsseltem Datenexport und Lead-Übergabe an einen DVAG-Berater (Calendly) konzipiert. Zielgrup...",
            "elevator_pitch": "Vaulty ist ein KI-gestützter Budget-Coach im Retro-Terminal-Look, der Nutzer per Chat und Live-Slidern durch die DVAG-Allfinanz-Regel \"30-30-30-10\" führt und eine 30-Jahres-Vermögensprognose liefert — inklusive DSGVO-konformem PDF-Kontoauszug-Anonymizer.",
            "target_audience": "DVAG-Berater als White-Label-Tool für die Kundenansprache sowie deren Endkunden in Deutschland/Schweiz, die ihre Finanzen spielerisch analysieren wollen.",
            "replit_md_path": "VAULTY\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0144",
            "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
            "project": "VEKTOR-NEWS",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "Cron",
              "RSS Parser",
              "PostgreSQL",
              "Drizzle ORM"
            ],
            "tags": [
              "news",
              "rss",
              "aggregation",
              "fintech",
              "cyberpunk",
              "react",
              "cron",
              "bookmarks"
            ],
            "status": "production-ready",
            "overview": "Finanz-News-Aggregations-Plattform mit KI-getriebener Cyberpunk-Ästhetik: Echtzeit-News aus mehreren Quellen zu Märkten, Aktien, Krypto und ETFs, Suche, kategorisierte Feeds, Bookmarks.",
            "elevator_pitch": "Ein automatisch aggregierter Finanz-News-Feed aus 10+ Quellen (Bloomberg, Reuters, Handelsblatt u.a.), täglich per Cron aktualisiert, mit Bookmarks und Kategorien.",
            "target_audience": "Trader/Investoren, die einen kuratierten Finanz-News-Überblick statt zig Einzelquellen wollen; als Widget für andere Genitus-Fintech-Produkte.",
            "replit_md_path": "VEKTOR-NEWS\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0145",
            "title": "VisualDesignSystem — Le Marché AI (Landingpage fuer die Genitus-Trading-App-Suite)",
            "project": "VisualDesignSystem",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Flask",
              "Flask-SQLAlchemy",
              "HTML/CSS",
              "Shepherd.js"
            ],
            "tags": [
              "portal",
              "landing-page",
              "genitus",
              "le-marche",
              "navigation-hub",
              "flask",
              "onboarding-tour"
            ],
            "status": "production-ready",
            "overview": "Marketing-/Uebersichts-Landingpage \"Le Marché AI\" (Branding \"Genitus Inc.\"), die als zentraler Portal-Einstiegspunkt auf die verschiedenen einzelnen Trading-Tools des Nutzers verlinkt (LeGraph, L'Average, LeSentinel, L'Intraday, LeGlobal u.a.), inkl. Onboarding-Tour und Dark/Light-Theme-Toggle.",
            "elevator_pitch": "Eine Seite, die alle Genitus-Trading-Tools an einem Ort zeigt und neue Nutzer per gefuehrter Tour direkt zum passenden Werkzeug leitet.",
            "target_audience": "neue Besucher des Genitus/Le-Marché-Oekosystems, die noch nicht wissen, welches der vielen Einzeltools (LeGraph, L'Average, LeSentinel...) fuer sie passt.",
            "replit_md_path": "VisualDesignSystem\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0146",
            "title": "AI Lingua - Language Learning Platform (VocabMaster)",
            "project": "VocabMaster",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "Flask",
              "Bootstrap 5",
              "Mistral AI",
              "OpenAI TTS",
              "Gunicorn"
            ],
            "tags": [
              "sprachlernen",
              "vokabeln",
              "chatbot",
              "text-to-speech",
              "flask",
              "mehrsprachig",
              "bildung",
              "ki-tutor"
            ],
            "status": "production-ready",
            "overview": "KI-gestützte mehrsprachige Vokabellernplattform mit dynamischer Content-Generierung und adaptivem Lernen. Bietet Vokabeltraining, Chat-Funktionalität und Text-zu-Sprache über 20+ Sprachpaare.",
            "elevator_pitch": "AI Lingua generiert dir in Sekunden individuelle Vokabellisten für 20+ Sprachpaare, lässt dich per Chat auf Mistral AI üben und hört sich mit echten OpenAI-Stimmen zum Nachsprechen an.",
            "target_audience": "Einzellerner mit Sprachlern-Ambitionen, Sprachschulen als White-Label-Tool, Selbstständige/Freelancer, die Zielsprachen-Support für Kunden brauchen.",
            "replit_md_path": "VocabMaster\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0147",
            "title": "0-VOLUMEN — Quant Trading Suite (VOLUMEN-TRADING)",
            "project": "VOLUMEN-TRADING",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "Static HTML/JS",
              "Tailwind",
              "Chart-Libraries"
            ],
            "tags": [
              "quant",
              "volume-indicators",
              "machine-learning",
              "options-pricing",
              "portfolio",
              "static"
            ],
            "status": "production-ready",
            "overview": "Eine Sammlung von 29 geprueften und bugbereinigten Quant-Trading-Prototypen: Volumen-Indikatoren, Regime-/ML-Modelle, Optionspreismodelle und ein vollstaendiger Portfolio/Index-Engine-Workflow — jeder Baustein als eigenstaendige HTML-Datei, gebuendelt in einer Flagship-App `MEGA-VOLUME.html`. **Wichtiger Korrekturhinweis**: Die vorherige replit.md dieses Ordners beschrieb faelschlich einen \"Cum-Ex & Cum-Cum Educational Guide\" — ein voellig anderes Thema. Diese Version ersetzt jenen fehlerhaften Stand durch eine am tatsaechlichen Code verifizierte Beschreibung.",
            "elevator_pitch": "29 fertige Quant-Trading-Tools — von On-Balance-Volume bis Gaussian-HMM-Regimeerkennung — als konsolidierte Suite mit einer Flagship-App fuer alle Module gleichzeitig.",
            "target_audience": "Quant-Trader, technisch versierte Privatanleger, Fintech-Portfolio-Demos.",
            "replit_md_path": "VOLUMEN-TRADING\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0148",
            "title": "Weather Dashboard Application (WeatherWhiz)",
            "project": "WeatherWhiz",
            "category": "Sonstiges",
            "cluster": "Sonstiges",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "PostgreSQL",
              "Drizzle",
              "Brightsky API",
              "OpenAI"
            ],
            "tags": [
              "weather",
              "dashboard",
              "chatbot",
              "brightsky",
              "dwd",
              "forecast",
              "react"
            ],
            "status": "production-ready",
            "overview": "Farbenfrohes, freundliches Full-Stack-Wetter-Dashboard (React, Express, PostgreSQL) mit echter Wetterdaten-Anbindung an die Brightsky-API (Deutscher Wetterdienst) und einem GPT-4o-mini-gestuetzten Chat-Interface fuer Wetterfragen.",
            "elevator_pitch": "Ein bunt-verspieltes Wetter-Dashboard mit echten DWD-Daten und einem KI-Wetter-Chat, statt trockener Zahlen-Tabelle.",
            "target_audience": "Endnutzer, die eine ansprechendere Alternative zu Standard-Wetter-Apps suchen; Bildungszwecke fuer Wetter-API-Integration.",
            "replit_md_path": "WeatherWhiz\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0149",
            "title": "Webinar Chat Application (WebinarAiAssistant)",
            "project": "WebinarAiAssistant",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "WebSocket",
              "PostgreSQL",
              "Drizzle ORM",
              "OpenAI Proxy"
            ],
            "tags": [
              "webinar",
              "chat",
              "websocket",
              "ki-moderation",
              "echtzeit",
              "qa-modus",
              "drizzle",
              "react"
            ],
            "status": "production-ready",
            "overview": "Echtzeit-Webinar-Chat-App (React + Express + WebSocket): interaktives Chat-Interface für Webinar-Teilnehmer mit Q&A-Modus, Teilnehmerstatus, Nachrichten-Reaktionen und KI-gestützter Moderation.",
            "elevator_pitch": "Eine Echtzeit-Chat-Schicht für Webinare mit Q&A-Modus, Reaktionen und einem KI-Moderator, der automatisch mitdiskutiert und Fragen beantwortet.",
            "target_audience": "Webinar-Veranstalter, Online-Kursanbieter, Corporate-Trainings (passt zum DVAG-Trainings-Ökosystem der Sammlung), Community-Manager.",
            "replit_md_path": "WebinarAiAssistant\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0150",
            "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
            "project": "WebSiteEnhancer",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML/CSS/JS",
              "Express",
              "OpenAI GPT-4o",
              "Tailwind",
              "Bootstrap",
              "Materialize"
            ],
            "tags": [
              "ebook-generator",
              "ai-writing",
              "multi-model",
              "pdf-export",
              "streaming",
              "content-generation"
            ],
            "status": "production-ready",
            "overview": "Eigenstaendige Web-App, die formatierte eBooks mittels Multi-Modell-KI-Generierung erstellt (OpenAI/Mistral/Claude/Gemini/Perplexity ueber einen gemeinsamen Proxy). \"Neural Orbitron\"-Cyberpunk-Redesign mit Live-SSE-Streaming, Ton-/Laengen-Steuerung und PDF-Export.",
            "elevator_pitch": "Thema eingeben, Ton und Laenge waehlen, fertiges formatiertes eBook mit Live-Streaming erhalten - inklusive PDF-Export, ganz ohne eigenen KI-Account.",
            "target_audience": "Autoren/Content-Ersteller, die schnell strukturierte Fach- oder Ratgebertexte in mehreren Vorlagen-Stilen erzeugen wollen (aehnlich wie bei `kostolany`/`famer-und-jager` bereits produziert).",
            "replit_md_path": "WebSiteEnhancer\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0151",
            "title": "AI Website Generator (WebGen Pro)",
            "project": "WebSiteEnhancer1211",
            "category": "Infrastruktur",
            "cluster": "Infrastruktur",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "Express.js",
              "Node.js",
              "OpenAI API (gpt-4.1-nano)",
              "Vanilla JavaScript",
              "Tailwind CSS (CDN)",
              "HTML/CSS"
            ],
            "tags": [
              "ai-website-generator",
              "content-generation",
              "openai-proxy",
              "tailwind",
              "ideen-generator",
              "website-builder",
              "express"
            ],
            "status": "prototype",
            "overview": "Ein KI-gestützter Website-Generator, der über einen Express-Proxy OpenAI-Modelle anspricht, um vollständige Website-Texte für sechs Website-Typen und fünf CSS-Frameworks zu erzeugen und als herunterladbare HTML-Datei auszugeben. Zusätzlich enthält das Projekt einen eigenständigen \"KI-Ideen-Generator\" für Website-/Web-App-Konzepte. Es existieren mehrere UI-Generationen nebeneinander: ein modernes dunkles \"WebGen Pro\"-Dashboard (aktueller Default) und eine ältere helle \"Legacy\"-Oberfläche (`website-generator.html`).",
            "elevator_pitch": "Ein KI-Website-Generator, der aus wenigen Eingaben (Typ, Framework, Beschreibung) fertige, herunterladbare HTML-Websites samt strukturierter deutscher Copy erzeugt.",
            "target_audience": "Freelancer, kleine Agenturen und Solopreneure, die schnell Website-Entwürfe oder -Texte ohne eigenen Copywriter brauchen.",
            "replit_md_path": "WebSiteEnhancer1211\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0152",
            "title": "Wikipedia-Style Article Generator (WikiIMAGE-1)",
            "project": "WikiIMAGE-1",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "React",
              "Express",
              "PostgreSQL",
              "Drizzle",
              "GPT-4o"
            ],
            "tags": [
              "wikipedia",
              "encyclopedia",
              "ai-content-generation",
              "german",
              "articles",
              "gpt-4o"
            ],
            "status": "production-ready",
            "overview": "Moderne Wikipedia-artige Artikelgenerierungs-App (React-Frontend, Express-Backend), die per OpenAI GPT-4o umfassende deutschsprachige Enzyklopaedie-Artikel zu beliebigen Themen generiert. Nutzer suchen Themen, browsen Kategorien und lesen KI-generierte Artikel im Wikipedia-Stil.",
            "elevator_pitch": "Ein Thema eingeben, sofort einen vollstaendigen, Wikipedia-formatierten deutschen Enzyklopaedie-Artikel per KI erhalten — inklusive Kategorien und verwandten Themen.",
            "target_audience": "Lernende/Schueler, Content-Ersteller die schnellen Ueberblickstext brauchen, Bildungsplattformen.",
            "replit_md_path": "WikiIMAGE-1\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0153",
            "title": "WikiIMAGE-1imgur — KI-Enzyklopaedie-Generator (Wikipedia-Style)",
            "project": "WikiIMAGE-1imgur",
            "category": "Bildung",
            "cluster": "Bildung",
            "tier": "1",
            "rebuild_grade": "C",
            "tech_stack": [
              "React",
              "TypeScript",
              "Vite",
              "Express",
              "PostgreSQL",
              "Drizzle ORM",
              "OpenAI GPT-4o"
            ],
            "tags": [
              "wikipedia-clone",
              "ai-content-generation",
              "encyclopedia",
              "react",
              "express",
              "postgres",
              "german"
            ],
            "status": "production-ready",
            "overview": "Moderne Wikipedia-artige Artikel-Generierungs-App mit React-Frontend und Express-Backend. Nutzt OpenAI GPT-4o, um umfassende Enzyklopaedie-Artikel auf Deutsch zu beliebigen Themen zu erzeugen; Nutzer koennen Themen suchen, Kategorien durchsuchen und KI-generierte Artikel im Wikipedia-Stil lesen.",
            "elevator_pitch": "Tippe ein beliebiges Thema ein und bekomme sofort einen vollstaendigen, formatierten Wikipedia-artigen Artikel auf Deutsch - generiert, nicht kopiert.",
            "target_audience": "Lernende/Recherchierende, die schnelle strukturierte Uebersichtsartikel zu Nischen- oder aktuellen Themen brauchen, fuer die es (noch) keinen echten Wikipedia-Artikel gibt.",
            "replit_md_path": "WikiIMAGE-1imgur\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0154",
            "title": "XTRACKERS — Xtrackers by DWS: Bloomberg Terminal Dashboard",
            "project": "XTRACKERS",
            "category": "Fintech-Trading",
            "cluster": "Fintech-Trading",
            "tier": "1",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS v3 CDN",
              "Chart.js",
              "Chart.js Financial Plugin",
              "Luxon",
              "chartjs-adapter-luxon",
              "Vanilla JS",
              "Orbitron",
              "Inter",
              "Python http.server"
            ],
            "tags": [
              "ETF",
              "DWS",
              "Xtrackers",
              "Bloomberg-Terminal",
              "trading-dashboard",
              "cyberpunk-ui",
              "single-file",
              "EOD-data",
              "DAX"
            ],
            "status": "production-ready",
            "overview": "Bloomberg-Terminal-artiges Finanz-Dashboard fuer Xtrackers-by-DWS-ETFs mit Live-EOD-Datenintegration. Zeigt Echtzeit-nahe ETF-Kurse, interaktive Charts und umfassende Marktdaten in deutschsprachiger Oberflaeche mit futuristisch-cyberpunkigem Look. Einzeldatei-Implementierung (`index.html`, ~70KB), Tailwind per CDN, Chart.js fuer Candlestick/Line/Area-Charts, EOD-API-Proxy ueber `https://theserver-open-ai.replit.app`, 34+ Xtrackers-ETF-Symbole hardcodiert im Dropdown/Watchlist. Laut vorheriger Doku am 27. Oktober 2025 als \"Production-ready with full mobile optimization\" abgeschlossen (Architect...",
            "elevator_pitch": "Ein Bloomberg-Terminal-Klon speziell fuer Xtrackers-ETFs — Live-Charts, Kommandozeile, Export, alles in einer einzigen HTML-Datei ohne Build-Prozess.",
            "target_audience": "DWS/Xtrackers als Marketing-/Produktseite, Finanzberater und Endkunden, die ETF-Kurse und Produktuebersicht in einem \"Pro-Trader\"-Look wollen; auch als Sales-Demo fuer \"wir bauen euch ein Terminal\" gegenueber anderen Asset-Managern.",
            "replit_md_path": "XTRACKERS\\replit.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0155",
            "title": "api-momentum1 — Trading Analysis API Test",
            "project": "api-momentum1",
            "category": "unbekannt (Einzeltool)",
            "cluster": "unbekannt (Einzeltool)",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Google Charts (gstatic loader.js)",
              "Vanilla JS",
              "Fetch API",
              "externer Momentum-Proxy"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "api-test",
              "jwt",
              "candlestick-chart"
            ],
            "status": "prototype",
            "overview": "Ein schlankes API-Testwerkzeug (212 Zeilen) fuer einen externen \"Momentum\"-Analyse-Dienst: Nutzer traegt einen JWT-Token und ein Aktiensymbol ein, die Seite ruft einen externen Endpunkt auf und rendert die Antwort als rohes JSON plus (falls vorhanden) einen Candlestick-Chart via Google Charts.",
            "elevator_pitch": "Ein Entwickler-/QA-Werkzeug zum manuellen Testen der eigenen \"Momentum-API\" — kein Endnutzer-Produkt, sondern ein Debugging-Frontend.",
            "target_audience": "Interne Entwickler/Tester des Momentum-Backends.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/api-momentum1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0156",
            "title": "broker-ai-neural-pro — BROKER AI NEURAL PRO / Trend Rider Deluxe",
            "project": "broker-ai-neural-pro",
            "category": "unbekannt (Einzeltool, Zwilling: broker-ai-neural-pro-og2)",
            "cluster": "unbekannt (Einzeltool, Zwilling: broker-ai-neural-pro-og2)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN",
              "Bootstrap Icons",
              "TradingView Lightweight Charts",
              "Vanilla JS",
              "Fetch API",
              "externer EOD-Proxy"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "signal-generator",
              "rsi",
              "macd",
              "candlestick-chart"
            ],
            "status": "prototype",
            "overview": "Ein Cyberpunk-gestyltes Trading-Dashboard (37 KB) mit SMA-Crossover-Signalgenerator in drei Modi (Safe Cross / Trend Rider / Hybrid Neural), Candlestick-/Linien-Charts via TradingView Lightweight Charts, client-seitiger RSI(14)- und MACD(12,26,9)-Berechnung, Positionsgroessen-/Risiko-Rechner sowie CSV/JSON-Export der generierten Signale.",
            "elevator_pitch": "Ein \"KI-neuronal\" vermarktetes, aber tatsaechlich regelbasiertes SMA-Crossover-Signaltool mit professionellem Glassmorphism/Neon-Look.",
            "target_audience": "Retail-Trader, die visuell ansprechende technische Signale (statt reiner Rohdaten) suchen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/broker-ai-neural-pro/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0157",
            "title": "broker-ai-neural-pro — BROKER AI NEURAL PRO",
            "project": "broker-ai-neural-pro-og2",
            "category": "Domvs-Avrea/Finanzanalyse-Tools",
            "cluster": "Domvs-Avrea/Finanzanalyse-Tools",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Bootstrap Icons",
              "Lightweight Charts"
            ],
            "tags": [
              "handelsanalyse",
              "technische-indikatoren",
              "trading",
              "ai-tools"
            ],
            "status": "prototype",
            "overview": "Die Webapp BROKER AI NEURAL PRO bietet eine Plattform zur Analyse von Handelsdaten mit verschiedenen Modi (Safe Cross, Hybrid Neural, Trend Rider) und zeigt technische Indikatoren wie SMA und RSI an.",
            "elevator_pitch": "Eine umfassende Handelsanalyse-Plattform für Trader.",
            "target_audience": "Trader und Investoren, die technische Analysen durchführen möchten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/broker-ai-neural-pro-og2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0158",
            "title": "cfd2 — CFD Handel Rechner",
            "project": "cfd2",
            "category": "unbekannt (Einzeltool)",
            "cluster": "unbekannt (Einzeltool)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS"
            ],
            "tags": [
              "fintech",
              "cfd",
              "calculator",
              "margin-rechner"
            ],
            "status": "prototype",
            "overview": "Ein winziger (178 Zeilen), reiner Rechner fuer CFD-Preis und Margin: Nutzer gibt Basiswert (Euro) und Stueckzahl ein, die Seite berechnet Geld-/Briefkurs (Spread 5%), CFD-Mittelpreis und die erforderliche Margin (10% Margin-Anforderung).",
            "elevator_pitch": "Ein simpler didaktischer CFD-Margin-Rechner — kein Live-Marktdaten-Tool, reine Formel-Demo.",
            "target_audience": "Einsteiger, die verstehen wollen, wie sich Spread und Margin bei CFDs rechnerisch zusammensetzen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/cfd2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0159",
            "title": "claude12index1 — Trading Intelligence Platform",
            "project": "claude12index1",
            "category": "Le MARCHÉ AI",
            "cluster": "Le MARCHÉ AI",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Google Fonts Roboto",
              "Orbitron"
            ],
            "tags": [
              "trading",
              "KI",
              "marktanalyse",
              "fintech",
              "institutionelle trader"
            ],
            "status": "prototype",
            "overview": "Die Seite bietet eine KI-gestützte Plattform für Marktanalysen und automatisierte Handelsstrategien, die sich an institutionelle und professionelle Trader richtet.",
            "elevator_pitch": "Eine umfassende Trading-Intelligenz-Plattform, die KI-gestützte Marktanalysen und automatisierte Handelsstrategien bereitstellt.",
            "target_audience": "Institutionelle und professionelle Trader.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/claude12index1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0160",
            "title": "coba-core-liquidity-engine — COBA CORE // Liquidity Engine v6.1 LIVE",
            "project": "coba-core-liquidity-engine",
            "category": "COBA-CORE-Terminal-Familie",
            "cluster": "COBA-CORE-Terminal-Familie",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5 CDN",
              "Chart.js CDN",
              "html2pdf.js",
              "Google Fonts Orbitron/Inter",
              "Vanilla JS",
              "Fetch API",
              "externer EOD-Proxy + eodhd.com"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "commerzbank-branding",
              "portfolio",
              "multi-tab",
              "pdf-export"
            ],
            "status": "prototype",
            "overview": "Ein grosses (170 KB), Commerzbank-anmutendes Finanz-Terminal mit sieben Tabs (Portfolio, Stocks, Bonds, Yields & Dividends, Risk Analytics, Currency Risk, Performance/Benchmark), Live-/Historien-Kursdaten ueber einen EOD-Proxy sowie eodhd.com-Forex-Daten, Dark/Light-Mode-Umschaltung und vierfachem Export (CSV/JSON/HTML/PDF).",
            "elevator_pitch": "Ein White-Label-\"Bankterminal\" im Corporate-Design von Commerzbank (Gelb/Anthrazit), das Portfolio-Uebersicht, Aktien-/Anleihen-Analyse, Dividendenrenditen, Risiko- und Waehrungskennzahlen sowie Performance-Benchmarking in einer einzigen Oberflaeche buendelt.",
            "target_audience": "Bank-/Vermoegensberatungs-Demo-Kontext (COBA = Commerzbank-Kuerzel), interne Praesentationen oder Pitch-Prototyp fuer ein Kundenportal.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/coba-core-liquidity-engine/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0161",
            "title": "coba-core-real-estate-quant-rsi-v13 — COBA CORE // EOD Quant Engine & Real Estate Terminal (v1.3)",
            "project": "coba-core-real-estate-quant-rsi-v13",
            "category": "COBA-CORE-Terminal-Familie",
            "cluster": "COBA-CORE-Terminal-Familie",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2 CDN",
              "Chart.js 4.4.1 CDN",
              "html2pdf.js CDN",
              "Google Fonts Orbitron/Inter",
              "Vanilla JS",
              "Fetch API",
              "externer EOD-Proxy"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "real-estate",
              "reit",
              "rsi",
              "commerzbank-branding",
              "pdf-export"
            ],
            "status": "prototype",
            "overview": "Ein Immobilien-fokussiertes Quant-Terminal im Commerzbank-anmutenden Corporate-Design (Gelb/Anthrazit): trackt ein gleichgewichtetes Pool-Portfolio aus REIT-/Immobilienaktien (US-REITs, EU-Sektorfuehrer, deutsche Wohnen/Gewerbe/REITs, Pfandbriefbanken) als indexierten Performance-Chart, ergaenzt um SMA, RSI-Oszillator, Volatilitaets-/Max-Drawdown-KPIs und HTML/PDF-Report-Export.",
            "elevator_pitch": "Ein spezialisiertes \"Immobilien-Aktien-Terminal\" mit Quant-Kennzahlen (RSI, SMA, Volatilitaet, Max-Drawdown) statt reiner Kurslisten, im Look eines professionellen Bank-Terminals.",
            "target_audience": "Immobilien-/REIT-fokussierte Anleger, Demo-/Pitch-Kontext im Bank-Branding (COBA = Commerzbank-Kuerzel).",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/coba-core-real-estate-quant-rsi-v13/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0162",
            "title": "coba-core-real-estate-quant-rsi-v14 — COBA CORE // EOD Quant Engine & Real Estate Terminal (v1.4)",
            "project": "coba-core-real-estate-quant-rsi-v14",
            "category": "COBA-CORE-Terminal-Familie",
            "cluster": "COBA-CORE-Terminal-Familie",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2 CDN",
              "Chart.js 4.4.1 CDN mit Custom-Zonen-Plugin",
              "Google Fonts Orbitron/Inter",
              "Vanilla JS",
              "Fetch API",
              "externer EOD-Proxy",
              "window.print()"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "real-estate",
              "reit",
              "rsi",
              "commerzbank-branding",
              "print-export"
            ],
            "status": "prototype",
            "overview": "Weiterentwickelte Version von `coba-core-real-estate-quant-rsi-v13`: gleiches Immobilien-Quant-Terminal-Konzept, aber mit farbig segmentiertem RSI-Chart (gruen/rot je nach Ueberkauft-/Ueberverkauft-Zone via Custom-Chart.js-Plugin), einer Zeitrahmen-Auswahl (1M-5Y) und einem \"Target Timing Band\" im Chart. Reduzierte Watchlist auf 5 statt 10 Presets. PDF-Export erfolgt hier ueber `window.print()` statt html2pdf.js.",
            "elevator_pitch": "Die verbesserte Ausgabe des COBA-CORE-Immobilienterminals mit visuell klarerer RSI-Zonen-Darstellung und flexiblerer Zeitrahmen-Auswahl.",
            "target_audience": "Wie v1.3 — Immobilien-/REIT-fokussierte Anleger im Bank-Terminal-Kontext.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/coba-core-real-estate-quant-rsi-v14/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0163",
            "title": "coba-core-rsi-multitimeframe-radar — COBA CORE // RSI Multi-Timeframe Radar & Chart Terminal",
            "project": "coba-core-rsi-multitimeframe-radar",
            "category": "COBA-CORE-Terminal-Familie",
            "cluster": "COBA-CORE-Terminal-Familie",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2 CDN",
              "Chart.js 4.4.1 CDN",
              "Google Fonts Orbitron/Inter",
              "Vanilla JS",
              "Fetch API",
              "externer EOD-Proxy"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "rsi",
              "multi-asset-radar",
              "alerts",
              "commerzbank-branding"
            ],
            "status": "prototype",
            "overview": "Ein RSI-Alert-Radar, das gleichzeitig eine Liste von Assets scannt: zeigt pro Symbol den aktuellen RSI-Wert und ein daraus abgeleitetes Kauf-/Verkaufs-/Akkumulieren-Signal in einer farbcodierten Tabelle mit Filterbuttons, plus eine Chart-Detailansicht fuer ausgewaehlte Symbole. Anders als die Real-Estate-Terminals (Einzelportfolio-Pool) ist dies ein eigenstaendiges \"Radar\"-Konzept fuer Multi-Asset-Ueberwachung.",
            "elevator_pitch": "Ein RSI-Screener, der auf einen Blick zeigt, welche von mehreren beobachteten Assets gerade kauf-, verkaufs- oder akkumulierreif sind — statt einzeln jeden Chart pruefen zu muessen.",
            "target_audience": "Trader, die mehrere Assets/Sektoren parallel auf RSI-basierte Signale ueberwachen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/coba-core-rsi-multitimeframe-radar/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0164",
            "title": "coba-live-engine — COBA CORE Liquidity Engine v6.1 LIVE",
            "project": "coba-live-engine",
            "category": "Domvs-Avrea/Finanzmanagement",
            "cluster": "Domvs-Avrea/Finanzmanagement",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2",
              "Chart.js 4.4.1",
              "html2pdf.js 0.10.1"
            ],
            "tags": [
              "portfolio-management",
              "live-data",
              "risk-analysis",
              "financial-tools"
            ],
            "status": "prototype",
            "overview": "Die COBA CORE Liquidity Engine ist eine Web-App zur Verwaltung und Analyse von Finanzportfolios. Sie bietet Live-Daten, Exportmöglichkeiten in verschiedene Formate und Risikoanalysen.",
            "elevator_pitch": "Eine umfassende Lösung zur Verwaltung von Aktien- und Anleihenportfolios mit Echtzeitdaten.",
            "target_audience": "Investoren und Finanzmanager.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/coba-live-engine/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0165",
            "title": "consuldaily1 — CONSULTUS APP Daily (CONSULDAILY1)",
            "project": "consuldaily1",
            "category": "CONSULTUS-APP-Familie",
            "cluster": "CONSULTUS-APP-Familie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4.5.2 CDN",
              "jQuery 3.5.1 slim",
              "Popper.js",
              "Vanilla JS",
              "Fetch API",
              "eodhistoricaldata.com"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "position-sizing",
              "eodhd",
              "single-file"
            ],
            "status": "prototype",
            "overview": "Ein schlichtes Bootstrap-4-Formular (\"CONSULTUS APP Daily\"), das fuer eine kommagetrennte Liste von Aktien-Symbolen die letzten 3 Handelstage per EOD-API abruft, daraus LONG/SHORT-Spannen und ein Kursrisiko berechnet und anhand von Kontostand + 1%-Risikoregel eine empfohlene Stueckzahl (Positionsgroesse) errechnet.",
            "elevator_pitch": "Ein minimalistischer Positionsgroessen-Rechner fuer Trader nach der klassischen \"1%-Risiko-pro-Trade\"-Regel.",
            "target_audience": "Einzelanleger/Trader, die Positionsgroessen manuell nach Risikoregeln bestimmen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consuldaily1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0166",
            "title": "consulexecuteddax — OPEN TRADING Dax Performance (CONSULEXECUTEDDAX)",
            "project": "consulexecuteddax",
            "category": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
            "cluster": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4.5.2 CDN",
              "Vanilla JS",
              "Fetch API",
              "eodhistoricaldata.com"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "dax",
              "breakout-tracker",
              "eodhd",
              "neon-ui"
            ],
            "status": "prototype",
            "overview": "Ein automatischer DAX-Breakout-Tracker im Neon-Cyan-Dark-Theme: laedt beim Laden der Seite fuer alle 37 DAX-Werte (XETRA) die letzten drei Freitags-Schlusskurse, berechnet daraus eine LONG/SHORT-Spanne und zeigt nur Werte an, deren aktueller Schlusskurs diese Spanne durchbrochen hat (\"Executed\"), inklusive geschaetztem Euro-Gewinn bei fiktiver 1000-Stueck-Position.",
            "elevator_pitch": "Ein automatischer \"Breakout-Scanner\" fuer den gesamten DAX, der nur die Aktien anzeigt, die eine vordefinierte Kursspanne bereits durchbrochen haben — inklusive simuliertem Euro-Gewinn.",
            "target_audience": "DAX-Trader, die taeglich/woechentlich nach ausgeloesten Breakout-Setups screenen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consulexecuteddax/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0167",
            "title": "consulopendax — OPEN TRADING German Dax Performance (CONSULOPENDAX)",
            "project": "consulopendax",
            "category": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
            "cluster": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4.5.2 CDN",
              "Vanilla JS",
              "Fetch API",
              "eodhistoricaldata.com"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "dax",
              "breakout-tracker",
              "eodhd",
              "neon-ui"
            ],
            "status": "prototype",
            "overview": "Nahezu identischer Code wie `consulexecuteddax` (gleicher DAX-Breakout-Scanner, gleiche 37 XETRA-Ticker, gleiche Neon-Cyan-Optik), einzige Unterschiede: Ueberschrift lautet \"OPEN TRADING German Dax PERFORMANCE\" statt \"...Dax PERFORMANCE\", und die Kurswerte werden vor dem Vergleich explizit mit `parseFloat()` in Zahlen umgewandelt (im Gegensatz zu `consulexecuteddax`, wo teils String-Vergleiche stattfinden).",
            "elevator_pitch": "Automatischer Breakout-Scanner fuer den gesamten DAX, funktional identisch zu `consulexecuteddax`.",
            "target_audience": "DAX-Trader, die nach ausgeloesten Breakout-Setups screenen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consulopendax/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0168",
            "title": "consulopendow — OPEN TRADING Dow Jones Performance (CONSULOPENDOW)",
            "project": "consulopendow",
            "category": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
            "cluster": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4.5.2 CDN",
              "Vanilla JS",
              "Fetch API",
              "eodhistoricaldata.com"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "dow-jones",
              "breakout-tracker",
              "eodhd",
              "neon-ui"
            ],
            "status": "prototype",
            "overview": "Dieselbe Breakout-Scanner-Logik wie `consulopendax`/`consulexecuteddax`, aber fuer die 30 Dow-Jones-Werte (US-Ticker wie AAPL, BA, CAT, CVX, IBM, JPM, MSFT, DIS) statt DAX, mit US-Dollar statt Euro als Gewinnwaehrungs-Label (\"$$$ PROFIT\" statt \"€URO PROFIT\").",
            "elevator_pitch": "Automatischer Breakout-Scanner fuer den gesamten Dow Jones Industrial Average.",
            "target_audience": "US-Aktien-Trader, die den Dow nach ausgeloesten Breakout-Setups screenen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consulopendow/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0169",
            "title": "consultusexedow — OPEN TRADING Dow Jones Performance (CONSULTUSEXEDOW, \"Executed\"-Variante)",
            "project": "consultusexedow",
            "category": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
            "cluster": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4.5.2 CDN",
              "Vanilla JS",
              "Fetch API",
              "eodhistoricaldata.com"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "dow-jones",
              "breakout-tracker",
              "eodhd",
              "neon-ui"
            ],
            "status": "prototype",
            "overview": "Vierter und letzter Zwilling der \"OPEN TRADING\"-Scanner-Serie: identisch zu `consulopendow` (Dow-Jones-Breakout-Scan mit 30 Werten), mit zwei kleinen Abweichungen: die Ticker-Liste enthaelt einen zusaetzlichen (vermutlich fehlerhaften) Eintrag `'CCC3'` neben den regulaeren 30 Dow-Werten, und die Risiko-/Performance-/Gewinn-Werte werden mit explizitem `€`-Suffix formatiert statt reiner Zahl — trotz Dow-Jones-/USD-Kontext ein Copy-Paste-Ueberrest aus der DAX-Variante.",
            "elevator_pitch": "Automatischer Breakout-Scanner fuer den Dow Jones, funktional wie `consulopendow`, aber mit sichtbaren Copy-Paste-Bugs (Euro-Symbol statt Dollar, ein zusaetzliches ungueltiges Ticker-Kuerzel).",
            "target_audience": "US-Aktien-Trader (wie `consulopendow`).",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consultusexedow/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0170",
            "title": "consulweekly1 — CONSULTUS APP Weekly (CONSULWEEKLY1)",
            "project": "consulweekly1",
            "category": "CONSULTUS-APP-Familie",
            "cluster": "CONSULTUS-APP-Familie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4.5.2 CDN",
              "jQuery 3.5.1 slim",
              "Popper.js",
              "Vanilla JS",
              "Fetch API",
              "eodhistoricaldata.com"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "position-sizing",
              "eodhd",
              "weekly-candles",
              "single-file"
            ],
            "status": "prototype",
            "overview": "Fast-identisches Geschwister von `consuldaily1`, aber auf **Freitags-Schlusskurse** (Wochenkerzen) statt Tagesdaten ausgelegt: filtert aus den EOD-Daten die letzten drei Freitage heraus und wendet dieselbe GO/NO-Positionsgroessen-Logik an.",
            "elevator_pitch": "Positionsgroessen-Rechner wie `consuldaily1`, aber fuer Trader mit wochenbasiertem statt taeglichem Handelsrhythmus.",
            "target_audience": "Swing-Trader, die auf Wochenbasis statt taeglich entscheiden.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consulweekly1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0171",
            "title": "crmsafeeod7 — Genitus Financial Analytics",
            "project": "crmsafeeod7",
            "category": "Genitus Financial Analytics",
            "cluster": "Genitus Financial Analytics",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Google Charts"
            ],
            "tags": [
              "finanzanalyse",
              "aktienanalyse",
              "real-time",
              "AI",
              "chart-visualisierung"
            ],
            "status": "prototype",
            "overview": "Genitus Financial Analytics ist eine Web-App, die es Benutzern ermöglicht, Aktienkurse zu visualisieren und AI-gestützte Analysen durchzuführen. Die App bietet eine benutzerfreundliche Oberfläche zur Analyse von Finanzdaten in Echtzeit.",
            "elevator_pitch": "Echtzeitanalyse von Finanzdaten mit AI-gestützten Funktionen.",
            "target_audience": "Investoren und Finanzanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/crmsafeeod7/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0172",
            "title": "crmsafeexcel5 — Orbitron Calculator Suite",
            "project": "crmsafeexcel5",
            "category": "Orbitron Calculator Suite",
            "cluster": "Orbitron Calculator Suite",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre.css",
              "Google Fonts Orbitron",
              "Inter"
            ],
            "tags": [
              "business-calculator",
              "financial-tools",
              "entrepreneur",
              "self-employed"
            ],
            "status": "prototype",
            "overview": "Die Orbitron Calculator Suite ist eine All-in-One-Business-App für Unternehmer und Selbstständige, die verschiedene Finanz- und Geschäftsrechner bietet. Die Benutzer können Stundensätze, Break-Even-Punkte, Gewinne und Steuerlasten berechnen.",
            "elevator_pitch": "Eine umfassende Suite von Finanzrechnern für Unternehmer.",
            "target_audience": "Selbstständige und Unternehmer.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/crmsafeexcel5/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0173",
            "title": "daniel2 — Echtzeit Aktieninformationen und Handelsempfehlungen",
            "project": "daniel2",
            "category": "Domvs-Avrea/Finanzanalysetools",
            "cluster": "Domvs-Avrea/Finanzanalysetools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.1.1",
              "JavaScript"
            ],
            "tags": [
              "aktienhandel",
              "finanzanalyse",
              "handelsempfehlungen",
              "realtime-data"
            ],
            "status": "prototype",
            "overview": "Webanwendung, die Echtzeit-Aktieninformationen und Handelsempfehlungen bereitstellt. Sie nutzt eine Proxy-API, um Daten von einem Backend-Server abzurufen und analysiert diese für Handelsstrategien.",
            "elevator_pitch": "Bietet Investoren Echtzeit-Daten und strategische Handelsempfehlungen.",
            "target_audience": "Investoren und Trader.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/daniel2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0174",
            "title": "domvs-avrea-fund-tracker — DOMVS AVREA Fund Tracker",
            "project": "domvs-avrea-fund-tracker",
            "category": "Domvs-Avrea-Genitus-Markenfamilie",
            "cluster": "Domvs-Avrea-Genitus-Markenfamilie",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Chart.js 4.4.1 CDN",
              "Google Fonts Orbitron",
              "Fetch API",
              "externer EOD-Proxy"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "fund-tracker",
              "themenkoerbe",
              "neon-ui",
              "dax",
              "crypto"
            ],
            "status": "prototype",
            "overview": "Ein Neon-Cyber-Terminal (\"DOMVS AVREA — Fund Tracker\"), das 9 selbst zusammengestellte Themen-Koerbe (u.a. Crypto Best 5, DAX Blue Chip, DAX Dividend Elite, Crypto Expansion, DAX Top 40, Dow Jones 30, USA Tech, Tesla, Netflix) als auf 100 indexierte Performance-Charts seit Emission darstellt, mit umschaltbaren Zeitfenstern (3M/6M/1Y/ALL).",
            "elevator_pitch": "Ein \"Fonds-Tracker\" fuer selbst kuratierte Themenkoerbe statt echter Fonds — zeigt normalisierte (Basis 100) Performance-Verlaeufe fuer 9 verschiedene Anlage-Themen von Krypto bis DAX bis Einzelaktien.",
            "target_audience": "Anleger, die thematische Multi-Asset-Koerbe statt Einzeltiteln verfolgen wollen; Teil des groesseren \"Domvs Avrea\"/Genitus-Markenoekosystems.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/domvs-avrea-fund-tracker/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0175",
            "title": "dvag-celestiao6 — DVAG-CelestiaO6 Finanzberater-Portal",
            "project": "dvag-celestiao6",
            "category": "DVAG Finanzberater-Portal",
            "cluster": "DVAG Finanzberater-Portal",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Font Awesome 6.0.0",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "finanzberater",
              "dvag",
              "celestiaos",
              "zugriffstoken",
              "finanztools"
            ],
            "status": "prototype",
            "overview": "Das DVAG-CelestiaO6 ist ein Finanzberater-Portal, das mit einem Zugriffstoken geschützt ist und verschiedene Funktionen für Finanzberater bietet. Die Seite nutzt ein modernes Design und bietet eine benutzerfreundliche Oberfläche.",
            "elevator_pitch": "Ein sicheres Portal für Finanzberater, um auf wichtige Tools und Informationen zuzugreifen.",
            "target_audience": "Finanzberater und DVAG-Mitarbeiter.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-celestiao6/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0176",
            "title": "dvag-celestiao7-tradingplan8 — Fun & Profit Trading Terminal",
            "project": "dvag-celestiao7-tradingplan8",
            "category": "unbekannt (Fun-Trading-Terminal-Einzelstueck)",
            "cluster": "unbekannt (Fun-Trading-Terminal-Einzelstueck)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN",
              "Chart.js 4.4.0 + date-fns-Adapter + chartjs-chart-financial",
              "Google Fonts Orbitron/Inter",
              "Vanilla JS"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "trading-plan",
              "checklist",
              "risk-meter",
              "candlestick"
            ],
            "status": "prototype",
            "overview": "Ein dunkel gestaltetes Trading-Terminal (\"Fun & Profit Trading Terminal\") mit Glassmorphism-Karten, Candlestick-Chart-Unterstuetzung (chartjs-chart-financial-Plugin), Trading-Setup-Karten mit Tags/Risiko-Meter und interaktiven Checklisten-Items — passt trotz des Dateinamen-Bestandteils \"DVAG-CelestiaO7-tradingplan8\" inhaltlich tatsaechlich zu einem Trading-Tool (im Gegensatz zu den gleichnamigen `-claude2`/`-lecode*`-Geschwistern, die generische KI-Chatbots sind).",
            "elevator_pitch": "Ein spielerisch benanntes, aber funktional ernstzunehmendes Trading-Terminal mit Setup-Checklisten und visuellem Risiko-Meter statt reiner Kurslisten.",
            "target_audience": "Trader, die strukturierte Setup-Checklisten (Entry-Kriterien abhaken) mit Candlestick-Charting kombinieren wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-celestiao7-tradingplan8/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0177",
            "title": "dvag-os-1-1 — DVAG OS 1.1 Financial Advisor Portal",
            "project": "dvag-os-1-1",
            "category": "Domvs-Avrea/DVAG-Ökosystem",
            "cluster": "Domvs-Avrea/DVAG-Ökosystem",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome",
              "Google Fonts"
            ],
            "tags": [
              "finanzberatung",
              "portal",
              "DVAG",
              "tools",
              "training"
            ],
            "status": "live",
            "overview": "Das DVAG OS 1.1 ist ein interaktives Portal für Finanzberater, das Zugriff auf Präsentationen, Produktinformationen, Provisionen, Schulungen und Tests bietet.",
            "elevator_pitch": "Ein umfassendes Portal für Finanzberater, das alle notwendigen Ressourcen bündelt.",
            "target_audience": "Finanzberater und Vertriebsmitarbeiter.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-os-1-1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0178",
            "title": "dvag-rentenplaner6 — Offlinefähiger Rentenplaner",
            "project": "dvag-rentenplaner6",
            "category": "DVAG Rentenplanung",
            "cluster": "DVAG Rentenplanung",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Chart.js",
              "CSS"
            ],
            "tags": [
              "rentenplaner",
              "finanzplanung",
              "offline-tool",
              "rentenlücke"
            ],
            "status": "prototype",
            "overview": "Ein einfacher, offline-fähiger Rentenplaner, der Rentenlücken berechnet, Wunschrenten erstellt und Sparziele zeigt. Die Anwendung ist benutzerfreundlich und verzichtet auf komplexe Fachbegriffe.",
            "elevator_pitch": "Ein unkomplizierter Rentenplaner für die schnelle Finanzplanung.",
            "target_audience": "Privatpersonen, die ihre Rentenplanung optimieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-rentenplaner6/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0179",
            "title": "dvag-steurn-xtrackers — Xtrackers Terminal (Live Trading Dashboard)",
            "project": "dvag-steurn-xtrackers",
            "category": "Xtrackers-Terminal-Familie",
            "cluster": "Xtrackers-Terminal-Familie",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN",
              "Chart.js 4.4.1 + Luxon-Adapter + chartjs-chart-financial",
              "Google Fonts Orbitron/Roboto Mono/Inter",
              "Vanilla JS"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "xtrackers",
              "etf",
              "live-dashboard",
              "neon-ui",
              "candlestick"
            ],
            "status": "prototype",
            "overview": "Ein Neon-Amber/Cyan-gestaltetes \"Xtrackers Terminal - Live Trading Dashboard\": Glassmorphism-Karten mit Neon-Glow-Animationen (pulsierender Amber- und Cyan-Text), Candlestick-faehiges Chart.js-Setup (Luxon-Zeitachsen-Adapter + Financial-Plugin) fuer ETF-/Xtrackers-Kursdarstellung.",
            "elevator_pitch": "Ein visuell aufwaendiges \"Live\"-Terminal fuer Xtrackers-ETFs mit Neon-Cyberpunk-Aesthetik statt nuechterner Bank-Optik.",
            "target_audience": "Anleger, die Xtrackers-ETF-Positionen (im DVAG-Steuer-/Beratungskontext, laut Dateiname) verfolgen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-steurn-xtrackers/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0180",
            "title": "dvag-steurn-xtrackers3 — Xtrackers Terminal (Live Trading Dashboard, defekter Export)",
            "project": "dvag-steurn-xtrackers3",
            "category": "Xtrackers-Terminal-Familie",
            "cluster": "Xtrackers-Terminal-Familie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN",
              "Chart.js 4.4.1 + Luxon-Adapter + chartjs-chart-financial",
              "Google Fonts Orbitron/Roboto Mono/Inter",
              "Vanilla JS"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "xtrackers",
              "etf",
              "live-dashboard",
              "neon-ui",
              "export-artefakt"
            ],
            "status": "prototype",
            "overview": "Inhaltlich identisch zu `dvag-steurn-xtrackers` (gleiches \"Xtrackers Terminal - Live Trading Dashboard\", gleiche Neon-Amber/Cyan-Optik, gleiche Chart.js/Luxon/Financial-Plugin-Kombination), jedoch mit einem auffaelligen Export-Fehler: die Datei beginnt mit einer literalen Zeile ` ```html ` und endet mit einer literalen ` ``` `-Zeile — ein Markdown-Codefence-Artefakt, das offenbar beim Export/Kopieren aus einem Chat-Tool (z.B. Claude/ChatGPT-Antwort) nicht entfernt wurde.",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-steurn-xtrackers3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0181",
            "title": "DWS-FUNDS — dws-generali-complete-funds-database (1)",
            "project": "dws-generali-complete-funds-database-1",
            "category": "DWS & GENERALI Fonds-Datenbank",
            "cluster": "DWS & GENERALI Fonds-Datenbank",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "JavaScript"
            ],
            "tags": [
              "investmentfonds",
              "dws",
              "generali",
              "fondsvergleich",
              "finanzdatenbank"
            ],
            "status": "prototype",
            "overview": "Die Anwendung bietet eine umfassende Datenbank von Investmentfonds von DWS & GENERALI mit ISIN, WKN, Ticker und Produktschlüssel für den Vergleich und die Suche. Nutzer können die Fonds über eine Suchfunktion filtern.",
            "elevator_pitch": "Eine zentrale Anlaufstelle für die Suche und den Vergleich von Investmentfonds.",
            "target_audience": "Investoren und Finanzinteressierte.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dws-generali-complete-funds-database-1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0182",
            "title": "etf-manager — QUANT ETF TERMINAL v2.3",
            "project": "etf-manager",
            "category": "Domvs-Avrea/ETF-Management",
            "cluster": "Domvs-Avrea/ETF-Management",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "ETF-Analyse",
              "Finanzanalyse",
              "Performance-Metriken",
              "Investoren",
              "Finanzanalysten"
            ],
            "status": "prototype",
            "overview": "Der QUANT ETF TERMINAL v2.3 ist ein Analysetool, das Tracking Error, TER-Friction und andere Performance-Metriken für ETFs berechnet. Es richtet sich an Finanzanalysten und Investoren, die die Performance von ETFs optimieren möchten.",
            "elevator_pitch": "Ein umfassendes Analysetool zur Optimierung der ETF-Performance.",
            "target_audience": "Finanzanalysten und Investoren.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/etf-manager/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0183",
            "title": "fibo — Fibonacci Retracement Calculator",
            "project": "fibo",
            "category": "Domvs Avrea Trading-Tool-Familie",
            "cluster": "Domvs Avrea Trading-Tool-Familie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Spectre.css CDN",
              "Vanilla JS",
              "externes Script fibo.js"
            ],
            "tags": [
              "fibonacci",
              "trading-tool",
              "stock-analysis",
              "minimal-tool"
            ],
            "status": "prototype",
            "overview": "Ein minimalistisches Einzelfunktions-Tool: Nutzer gibt ein Aktien-Symbol ein, klickt \"Calculate\", und ein extern nachgeladenes Script (`fibo.js`, vermutlich auf `domusaurea.tech` gehostet) berechnet daraus die Fibonacci-Retracement-Level. Die eigentliche Berechnungslogik befindet sich nicht in dieser Datei.",
            "elevator_pitch": "Ein Ein-Klick-Fibonacci-Rechner fuer Trader, die klassische Retracement-Level ohne Excel oder TradingView-Zusatzindikator sehen wollen.",
            "target_audience": "Technische Trader, die mit Fibonacci-Retracements arbeiten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fibo/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0184",
            "title": "finapp — AI Spread System & AI Trading Systems",
            "project": "finapp",
            "category": "Domvs Avrea Trading-Tool-Familie",
            "cluster": "Domvs Avrea Trading-Tool-Familie",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre.css CDN",
              "Vanilla JS",
              "EOD Historical Data API"
            ],
            "tags": [
              "trading-tool",
              "spread-analysis",
              "hedging",
              "sma",
              "candlestick",
              "stock-analysis"
            ],
            "status": "prototype",
            "overview": "Ein zweigeteiltes Analyse-Tool (\"Aktienanalyse mit API-Anfragen\"): Oben ein \"AI Spread System\" fuer Daily-/Realtime-Spread-Analysen zwischen Aktie und Index; unten \"AI Trading Systems\" mit vier Analysemodi (Hedging-Analyse, Roof/Basement & SMA-Analyse, Candlestick-Analyse, Slim-Body-Candle-Analyse) je auf Basis eingegebener Aktiensymbole.",
            "elevator_pitch": "Ein Multi-Tool fuer technische Aktienanalyse — Spread-Vergleich gegen einen Index plus vier verschiedene Signal-/Muster-Erkennungen in einer Oberflaeche.",
            "target_audience": "Trader, die schnelle technische Checks (Hedging-Bedarf, SMA-Kreuzungen, Candlestick-Muster) ohne eigenes Terminal durchfuehren wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/finapp/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0185",
            "title": "finpower — Domvs Avrea AI Stock Analysis",
            "project": "finpower",
            "category": "Domvs Avrea Trading-Tool-Familie (AI Stock Analysis)",
            "cluster": "Domvs Avrea Trading-Tool-Familie (AI Stock Analysis)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5 CDN",
              "Chart.js CDN",
              "EOD Historical Data API"
            ],
            "tags": [
              "stock-analysis",
              "chart",
              "trading-tool",
              "multi-symbol"
            ],
            "status": "prototype",
            "overview": "Ein Multi-Symbol-Aktienchart-Tool: Nutzer gibt kommagetrennt mehrere Ticker ein (z.B. \"AAPL,GOOGL,MSFT\"), fuer jedes Symbol wird ein eigenes Chart.js-Liniendiagramm der Schlusskurse der letzten drei Monate erzeugt und untereinander dargestellt.",
            "elevator_pitch": "Mehrere Aktien auf einen Blick vergleichen — einfach Ticker eintippen, sofort Charts nebeneinander statt einzeln durch Finanzportale zu klicken.",
            "target_audience": "Privatanleger, die schnell mehrere Aktienkursverlaeufe vergleichen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/finpower/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0186",
            "title": "fintechmensis — FinTech Startup: Monthly Stock Analysis (InvestAI)",
            "project": "fintechmensis",
            "category": "Domvs Avrea Trading-Tool-Familie (AI Stock Analysis)",
            "cluster": "Domvs Avrea Trading-Tool-Familie (AI Stock Analysis)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5 CDN",
              "Chart.js CDN",
              "EOD Historical Data API"
            ],
            "tags": [
              "stock-analysis",
              "monthly-signal",
              "long-short",
              "trading-tool"
            ],
            "status": "prototype",
            "overview": "Ein monatliches Signal-Tool: Nutzer gibt ein einzelnes Aktiensymbol ein, das Script ermittelt automatisch den Schlusskurs des letzten Freitags des Vormonats als Pivot-Wert, vergleicht ihn mit dem aktuellsten Schlusskurs und gibt ein LONG/SHORT-Signal aus (gruen bei LONG, rot bei SHORT), begleitet von einem Kursverlaufs-Chart seit dem Pivot-Datum.",
            "elevator_pitch": "Ein simples Monats-Momentum-Signal — \"steht die Aktie hoeher oder tiefer als am letzten Freitag des Vormonats\" — als schnelle LONG/SHORT-Einschaetzung statt komplexer Indikatoren.",
            "target_audience": "Swing-Trader, die einen simplen monatlichen Trendfilter suchen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fintechmensis/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0187",
            "title": "forex — Quantum Fixed-Income & FX Quant Terminal",
            "project": "forex",
            "category": "Domvs-Avrea/Forex-Analyse",
            "cluster": "Domvs-Avrea/Forex-Analyse",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "forex",
              "quant-trading",
              "anleihenanalyse",
              "finanzdaten",
              "marktanalyse"
            ],
            "status": "prototype",
            "overview": "Die Web-App dient der Analyse von Anleihen und Währungsdaten, speziell für Investoren und Quant-Trader. Sie bietet eine umfassende Plattform zur Marktanalyse.",
            "elevator_pitch": "Ein leistungsstarkes Tool zur Analyse von Anleihen und Währungsdaten für professionelle Investoren.",
            "target_audience": "Investoren und Quant-Trader.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/forex/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0188",
            "title": "forex-fx-quant-terminal — Quantum Fixed-Income & FX Quant Terminal Core v4.1",
            "project": "forex-fx-quant-terminal",
            "category": "unbekannt (Quantum-Terminal-Einzelstueck)",
            "cluster": "unbekannt (Quantum-Terminal-Einzelstueck)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron/Rajdhani/Share Tech Mono",
              "CSV-Datei-Upload clientseitig",
              "Fetch API",
              "gemini-os.replit.app"
            ],
            "tags": [
              "fintech",
              "trading-tool",
              "forex",
              "fixed-income",
              "csv-upload",
              "hedge-strategie",
              "cyberpunk-ui"
            ],
            "status": "prototype",
            "overview": "Ein Cyberpunk-gestaltetes Terminal, in das Nutzer eigene `GBOND.csv`- und `FOREX.csv`-Dateien hochladen, aus denen die App FX-adjustierte Netto-Renditen, einen \"Trinity Three-Leg Hedge\" (Drei-Bein-Absicherungsstrategie) und eine Carry-vs-Term-Premium-Matrix berechnet, inklusive eines \"Flash-Inversion-Korrelationsradars\".",
            "elevator_pitch": "Ein Quant-Werkzeug fuer Fixed-Income/FX-Strategen, das eigene Anleihen-/Devisendaten per CSV-Upload einspeist und daraus automatisch Hedge-Strukturen und Renditevergleiche berechnet.",
            "target_audience": "Fortgeschrittene Anleger/Analysten mit eigenen Bond-/FX-Datensaetzen, die ueber reine Kursanzeige hinausgehende Kennzahlen (Carry, Term Premium, Hedge-Struktur) suchen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/forex-fx-quant-terminal/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0189",
            "title": "frankfurter-currency-converter — Währungsrechner (Frankfurter API)",
            "project": "frankfurter-currency-converter",
            "category": "unabhaengig (Standalone-Utility)",
            "cluster": "unabhaengig (Standalone-Utility)",
            "tier": "3",
            "rebuild_grade": "A",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Fetch API",
              "Frankfurter API"
            ],
            "tags": [
              "fintech",
              "currency-converter",
              "no-api-key",
              "light-dark-theme",
              "utility"
            ],
            "status": "production-ready",
            "overview": "Kompakter, sauberer Währungsrechner: Betrag eingeben, Von/Nach-Währung waehlen (Dropdown mit allen von der API gelieferten Waehrungen), Swap-Button, Live-Ergebnis plus 7-Tage-Kurshistorie fuer das gewaehlte Paar. Light/Dark-Theme per Button-Toggle.",
            "elevator_pitch": "Ein werbefreier, schlanker Waehrungsrechner ohne API-Key-Pflicht — nutzt die kostenlose EZB-Referenzkurs-API \"Frankfurter\".",
            "target_audience": "Reisende, kleine Unternehmen, jeder, der schnell ohne Tracking/Login umrechnen will.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/frankfurter-currency-converter/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0190",
            "title": "fun-profit-trading-os-final-10 — Handelsplattform für Finanzmärkte",
            "project": "fun-profit-trading-os-final-10",
            "category": "Finanzhandel/Trading-Plattformen",
            "cluster": "Finanzhandel/Trading-Plattformen",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome 6.0.0",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "trading-tools",
              "finanzanalyse",
              "marktmonitoring",
              "authentifizierung"
            ],
            "status": "prototype",
            "overview": "Die FUN & PROFIT TRADING OS ist eine geschützte Handelsplattform, die verschiedene Tools für den Handel, die Analyse und das Monitoring von Finanzmärkten bietet. Die Plattform erfordert eine Authentifizierung.",
            "elevator_pitch": "Eine umfassende Handelsplattform für Finanzmärkte mit Analyse- und Monitoring-Tools.",
            "target_audience": "Trader und Investoren.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fun-profit-trading-os-final-10/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0191",
            "title": "funandprofit — Finanz- und Handels-Tools",
            "project": "funandprofit",
            "category": "Domus-Aurea/Finanz-Tools",
            "cluster": "Domus-Aurea/Finanz-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "finanz-tools",
              "handels-tools",
              "api-authentifizierung"
            ],
            "status": "prototype",
            "overview": "FUN AND PROFIT ist eine Webanwendung zur Verwaltung und Nutzung von verschiedenen Finanz- und Handels-Tools. Sie bietet Zugang zu Anwendungen wie Depot, SENT, FREE, IMMO und anderen, die über Authentifizierung mit API-Schlüsseln oder Gastzugang genutzt werden können.",
            "elevator_pitch": "Eine zentrale Plattform für den Zugriff auf verschiedene Finanz- und Handelsanwendungen.",
            "target_audience": "Investoren und Händler, die mehrere Tools in einer Anwendung nutzen möchten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/funandprofit/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0192",
            "title": "fundament-open-bb — OPEN-BB Trading Suite",
            "project": "fundament-open-bb",
            "category": "OPEN-BB Trading Suite",
            "cluster": "OPEN-BB Trading Suite",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Google Fonts Fira Code",
              "Orbitron"
            ],
            "tags": [
              "trading-tools",
              "dashboard",
              "prop-trading",
              "financial-news",
              "risk-management"
            ],
            "status": "prototype",
            "overview": "Die OPEN-BB Trading Suite ist eine umfassende Sammlung von Trading-Tools und Dashboards, die Funktionen für Prop Trading, Risikomanagement, Momentum-Analyse und Finanznachrichten umfasst.",
            "elevator_pitch": "Eine zentrale Anlaufstelle für professionelle Trader mit einer Vielzahl von Tools.",
            "target_audience": "Professionelle Trader und Finanzanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fundament-open-bb/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0193",
            "title": "fundament19 — CryptLive: Echtzeitdaten Kryptowaehrungen",
            "project": "fundament19",
            "category": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
            "cluster": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4",
              "Vanilla JS",
              "WebSocket",
              "EODHD API"
            ],
            "tags": [
              "fintech",
              "crypto",
              "websocket",
              "realtime-data",
              "eodhd",
              "api-key-exposed"
            ],
            "status": "prototype",
            "overview": "Einfache Ein-Seiten-App: Dropdown mit ~20 Krypto-Paaren (BTC-USD, ETH-USD, ADA-USD, ...), Buttons \"Daten abonnieren\"/\"Daten abbestellen\" oeffnen einen WebSocket zur EODHD-Crypto-Realtime-API und rendern pro abonniertem Symbol eine Live-Kachel mit Preis, Volumen und Tagesaenderung.",
            "elevator_pitch": "Minimalistischer Live-Krypto-Ticker als Proof-of-Concept fuer WebSocket-Streaming ohne eigenes Backend.",
            "target_audience": "Entwickler/Demo-Zwecke eher als Endnutzer-Produkt — sehr rohes UI ohne Charts oder Styling-Politur.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fundament19/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0194",
            "title": "fundament25 — ForexLive: Echtzeitdaten Forex",
            "project": "fundament25",
            "category": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
            "cluster": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4",
              "Vanilla JS",
              "WebSocket",
              "EODHD API"
            ],
            "tags": [
              "fintech",
              "forex",
              "websocket",
              "realtime-data",
              "eodhd",
              "api-key-exposed"
            ],
            "status": "prototype",
            "overview": "Forex-Pendant zu `fundament19`: Dropdown mit 20 Waehrungspaaren (EUR/USD, GBP/USD, USD/JPY, ...), Subscribe/Unsubscribe-Buttons oeffnen einen WebSocket zur EODHD-Forex-Realtime-API, Live-Kacheln zeigen Ask/Bid-Preis, Tagesaenderung und Zeitstempel je Paar.",
            "elevator_pitch": "Live-Forex-Ticker als schlanke WebSocket-Demo ohne eigenes Backend.",
            "target_audience": "Entwickler-Demo/Proof-of-Concept eher als polierte Endnutzer-App.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fundament25/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0195",
            "title": "fundament32 — StoxLive: Echtzeitdaten Aktien",
            "project": "fundament32",
            "category": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
            "cluster": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4",
              "Vanilla JS",
              "WebSocket",
              "EODHD API"
            ],
            "tags": [
              "fintech",
              "stocks",
              "websocket",
              "realtime-data",
              "eodhd",
              "api-key-exposed"
            ],
            "status": "prototype",
            "overview": "Aktien-Variante der EODHD-WebSocket-Serie: Dropdown mit 30 US-Standardwerten (Dow-Jones/NASDAQ-Mix: AAPL, MSFT, GOOGL, TSLA, NVDA ...) plus zusaetzliches Freitextfeld fuer beliebige Ticker-Symbole. Subscribe/Unsubscribe oeffnet einen WebSocket zur EODHD-US-Realtime-API und zeigt Live-Kacheln mit Preis, Bedingungen, Volumen, Dark-Pool-Flag und Marktstatus bzw. Ask/Bid bei Quote-Events.",
            "elevator_pitch": "Live-Aktienticker mit freier Symbol-Eingabe — nicht nur auf die vordefinierte Liste beschraenkt.",
            "target_audience": "Entwickler-Demo/Proof-of-Concept fuer WebSocket-Marktdaten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fundament32/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0196",
            "title": "funds1 — Fonds-Tracking Web-App",
            "project": "funds1",
            "category": "Domvs-Avrea/Fonds-Tracking",
            "cluster": "Domvs-Avrea/Fonds-Tracking",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Chart.js",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "fonds",
              "kryptowaehrungen",
              "aktien",
              "performance-tracking",
              "domvs-avrea"
            ],
            "status": "prototype",
            "overview": "Die Web-App von DOMVS AVREA ermöglicht das Tracking von Fonds, die auf Kryptowährungen sowie deutschen und amerikanischen Aktien basieren. Sie zeigt historische Daten und Performance-Metriken für verschiedene Fonds an.",
            "elevator_pitch": "Eine leistungsstarke App zur Verfolgung von Fonds mit umfassenden Performance-Daten.",
            "target_audience": "Investoren und Fondsmanager.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/funds1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0197",
            "title": "futura3 — FUTUR1K: Future-Preis-Rechner",
            "project": "futura3",
            "category": "unabhaengig (Standalone-Rechner)",
            "cluster": "unabhaengig (Standalone-Rechner)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "keine externen Libraries"
            ],
            "tags": [
              "fintech",
              "futures",
              "cost-of-carry",
              "calculator",
              "dark-theme"
            ],
            "status": "prototype",
            "overview": "Einfacher Futures-Preisrechner nach dem \"Cost of Carry\"-Modell: aus Spotpreis, risikofreiem Zinssatz, Dividendenrendite, Lagerkosten und Laufzeit berechnet die Seite den theoretischen Future-Preis (`F = S * e^((r - y + c) * T)`), den Gesamtpreis fuer einen Kontrakt (1.000 Aktien) sowie die erforderliche Margin (20% des Gesamtpreises).",
            "elevator_pitch": "Ein-Formel-Rechner fuer den fairen Futures-Preis nach dem klassischen Cost-of-Carry-Modell, kein Live-Datenanschluss noetig.",
            "target_audience": "Finance-Studierende/Trading-Einsteiger, die die Futures-Bewertungsformel nachvollziehen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/futura3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0198",
            "title": "g-bonds — Plattform zur Analyse von staatlichen Anleihen",
            "project": "g-bonds",
            "category": "Domvs-Avrea/Bond-Analysis-Tools",
            "cluster": "Domvs-Avrea/Bond-Analysis-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript"
            ],
            "tags": [
              "staatliche Anleihen",
              "Renditeanalyse",
              "Finanzanalyse",
              "Bond-Matrix"
            ],
            "status": "prototype",
            "overview": "Die Webapp bietet eine Plattform zur Berechnung und Visualisierung von Renditen, Spreads und anderen makroökonomischen Metriken für staatliche Anleihen. Sie ermöglicht eine detaillierte Analyse und Verarbeitung von Anleihendaten.",
            "elevator_pitch": "Eine umfassende Analyseplattform für staatliche Anleihen.",
            "target_audience": "Investoren, Finanzanalysten, Trader.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/g-bonds/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0199",
            "title": "g-bonds-alerts-fx-matrix — Quantum Fixed-Income & FX Matrix",
            "project": "g-bonds-alerts-fx-matrix",
            "category": "G-BONDS-Familie (Bond/FX-Terminal-Serie)",
            "cluster": "G-BONDS-Familie (Bond/FX-Terminal-Serie)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "CSV-Upload",
              "Google Fonts Orbitron/Rajdhani",
              "externer EOD-Proxy"
            ],
            "tags": [
              "fintech",
              "bonds",
              "forex",
              "alerts",
              "csv-upload",
              "terminal-log",
              "cyberpunk-ui"
            ],
            "status": "prototype",
            "overview": "Erweiterung des G-BONDS-Terminals um ein automatisiertes Entscheidungs-/Alert-System: drei Strategien (Alpha/Beta/Gamma) plus FX-Risk-Overlay erzeugen Long/Short/Hedge/Hold-Signal-Badges auf Basis von hochgeladenen GBOND- und FOREX-CSV-Daten, kombiniert mit Live-Kursen aus einem EOD-Proxy. Ein sichtbares Debug-Terminal-Log protokolliert jede API-Anfrage in Echtzeit.",
            "elevator_pitch": "Ein \"Production Layer v3.9\" gestyltes Cyberpunk-Terminal, das Anleihen- und FX-Daten kombiniert und automatisch handelbare Signale ausgibt.",
            "target_audience": "Quant-affine Trader, die Bond/FX-Korrelationen visuell und signalbasiert auswerten wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/g-bonds-alerts-fx-matrix/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0200",
            "title": "generali-investment-terminal — GENERALI Investment Terminal",
            "project": "generali-investment-terminal",
            "category": "FUNDS-Familie (Fonds-Analyse-Terminals)",
            "cluster": "FUNDS-Familie (Fonds-Analyse-Terminals)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Chart.js 3.9.1",
              "Google Fonts Orbitron/Roboto Mono",
              "externer EOD-Proxy"
            ],
            "tags": [
              "fintech",
              "funds",
              "isin",
              "sma-cross",
              "rsi",
              "volatility",
              "chart.js"
            ],
            "status": "prototype",
            "overview": "Fonds-Analyse-Terminal speziell fuer Generali-Fonds: ISIN-Dropdown mit ca. 30 Fonds, zeigt Live-Kurs, SMA20/50/200-Cross-Signale (Fast/Macro-Variante) mit Live-P&L, RSI, Volatilitaet sowie ein Chart mit Fahnen-Markierungen an den Signal-Einstiegspunkten.",
            "elevator_pitch": "Ein markenspezifisches Analyse-Terminal fuer die Generali-Fondspalette — SMA-Cross-Strategien mit visuellem Signal-Tracking direkt im Chart.",
            "target_audience": "Generali-Fondsanleger/Berater, die technische Signale (SMA-Crossovers) fuer ihre spezifische Fondsauswahl sehen wollen statt eines generischen Marktscreeners.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/generali-investment-terminal/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0201",
            "title": "genitus-ipo-scanner — GENITUS MAX ALL-TIME IPO Scanner",
            "project": "genitus-ipo-scanner",
            "category": "Genitus-Krypto-Serie (IPO Scanner/Signal Alerts)",
            "cluster": "Genitus-Krypto-Serie (IPO Scanner/Signal Alerts)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Google Fonts Orbitron/Share Tech Mono",
              "externer EOD-Proxy"
            ],
            "tags": [
              "fintech",
              "crypto",
              "ranking",
              "csv-export",
              "light-dark-theme",
              "genitus"
            ],
            "status": "prototype",
            "overview": "Scanner, der fuer rund 80 Kryptowaehrungen (unterteilt in Tiers \"Major/Core/Gems/Moonshots\") die Performance seit dem jeweils ersten verfuegbaren EOD-Kursdatum (\"IPO\") berechnet. Zeigt Top/Bottom-Performer-Ranking, sortierbare Gesamttabelle, CSV-Export und Light/Dark-Theme-Umschaltung.",
            "elevator_pitch": "\"Seit wann gibt es welche Kryptowaehrung eigentlich schon und wie hat sie sich seitdem entwickelt?\" — ein All-Time-Performance-Ranking ab dem jeweils fruehesten verfuegbaren Datenpunkt.",
            "target_audience": "Krypto-Investoren, die langfristige All-Time-Performance statt kurzfristiger Kursbewegungen vergleichen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/genitus-ipo-scanner/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0202",
            "title": "genitus-signal-alerts — GENITUS Signal Alerts",
            "project": "genitus-signal-alerts",
            "category": "Genitus-Krypto-Serie (IPO Scanner/Signal Alerts)",
            "cluster": "Genitus-Krypto-Serie (IPO Scanner/Signal Alerts)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Chart.js 4.4.4",
              "date-fns",
              "chartjs-adapter-date-fns",
              "Google Fonts Orbitron/Share Tech Mono"
            ],
            "tags": [
              "fintech",
              "crypto",
              "alerts",
              "chart.js",
              "light-dark-theme",
              "genitus",
              "accessibility"
            ],
            "status": "prototype",
            "overview": "Krypto-Signal-/Alert-Dashboard im Genitus-Design: zeigt Preis- und Signalverlaeufe als Zeitreihen-Charts (Chart.js mit date-fns-Zeitachsen-Adapter), responsiver Header mit Brand-Logo, Light/Dark-Theme-Umschaltung sowie sichtbare Accessibility-Massnahmen (Skip-Link, Focus-Outlines, `prefers-reduced-motion`-Handling).",
            "elevator_pitch": "Ein Alert-Dashboard, das Krypto-Preisbewegungen mit generierten Handelssignalen ueberlagert und zeitlich exakt darstellt (echte Datum-Zeitachse statt Kategorie-Achse).",
            "target_audience": "Krypto-Trader, die visuelle Signal-Bestaetigung im Kursverlauf statt reiner Tabellenwerte suchen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/genitus-signal-alerts/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0203",
            "title": "genitus-wertpapiere — GENITUS WERTPAPIERE",
            "project": "genitus-wertpapiere",
            "category": "Domvs-Avrea/Genussschein-Oekosystem",
            "cluster": "Domvs-Avrea/Genussschein-Oekosystem",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "wertpapiere",
              "investieren",
              "finanzprodukte",
              "akkreditierte-investoren"
            ],
            "status": "prototype",
            "overview": "Die Seite bietet eine Übersicht über 23 Wertpapiere in verschiedenen Tiers für akkreditierte Investoren, die unterschiedliche Risikoprofile und Renditezielen bedienen.",
            "elevator_pitch": "Eine Plattform für akkreditierte Investoren, um verschiedene Wertpapiere zu erkunden.",
            "target_audience": "Investoren, die an diversifizierten Finanzprodukten interessiert sind.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/genitus-wertpapiere/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0204",
            "title": "genitusfunds-1 — Interaktive Performance-Analyse für Genitus AI-gemanagte Fonds",
            "project": "genitusfunds-1",
            "category": "Genitus AI Funds",
            "cluster": "Genitus AI Funds",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Chart.js",
              "Font Awesome 6.4.0",
              "Google Fonts Inter",
              "Orbitron",
              "Rajdhani",
              "JetBrains Mono"
            ],
            "tags": [
              "AI-managed funds",
              "investment charts",
              "institutional investors",
              "real-time data",
              "performance metrics"
            ],
            "status": "prototype",
            "overview": "Die Webapp zeigt interaktive Charts zur Performance von Genitus AI-gemanagten Investmentfonds an, mit Echtzeit-Daten, Risikometriken und Vergleichsanalysen für institutionelle Investoren.",
            "elevator_pitch": "Interaktive Performance-Analyse für AI-gemanagte Fonds.",
            "target_audience": "Institutionelle Investoren.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/genitusfunds-1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0205",
            "title": "goldshield-ai-financial-intelligence — GoldShield AI Premium Financial Intelligence",
            "project": "goldshield-ai-financial-intelligence",
            "category": "GoldShield-Terminal-Familie",
            "cluster": "GoldShield-Terminal-Familie",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Chart.js",
              "Schema.org/JSON-LD SEO",
              "externer EOD-Proxy"
            ],
            "tags": [
              "fintech",
              "trading-dashboard",
              "technical-analysis",
              "seo-optimized",
              "genitus",
              "goldshield"
            ],
            "status": "production-ready",
            "overview": "Marketing-optimierte Trading-Dashboard-Landingpage der Marke \"GoldShield AI\" (Genitus Inc., CEO Daniel Gereci) mit Aktien-/REIT-Suche, technischen Charts (RSI, SMA, Bollinger Bands via Chart.js), einem KI-Sentiment-Score, Premium-Abo-Kacheln und Light/Dark/Neural-Theme-Umschaltung. Auffälligstes Merkmal: extrem umfangreiche SEO-/LLM-Crawler-Optimierung (Geo-Tags, Open Graph, JSON-LD `FinancialService`- und `FAQPage`-Schema) — die Seite ist erkennbar gezielt für Suchmaschinen- und KI-Such-Sichtbarkeit gebaut.",
            "elevator_pitch": "Eine KI-gestützte Finanzanalyse-Plattform mit technischen Standardindikatoren, die sich selbst aktiv als \"die\" Antwort auf Fragen wie \"What is GoldShield AI?\" gegenüber Suchmaschinen und LLMs positioniert.",
            "target_audience": "Trader/Investoren, die über Google/KI-Suchassistenten auf Fintech-Tools stossen; sekundär Presse/Partner, die über die FAQ-Struktur schnelle Fakten zum Unternehmen finden sollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-ai-financial-intelligence/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0206",
            "title": "goldshield-neural-core-terminal — GoldShield NEURAL Core Terminal",
            "project": "goldshield-neural-core-terminal",
            "category": "GoldShield-Robo-Advisor-Familie (GOLD-NEURAL/GOLD-VAULTY/GOLD-JUNGE)",
            "cluster": "GoldShield-Robo-Advisor-Familie (GOLD-NEURAL/GOLD-VAULTY/GOLD-JUNGE)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "TradingView Lightweight Charts 4.1.3",
              "marked.js",
              "PDF.js 3.11.174",
              "Google Fonts Orbitron/JetBrains Mono/Roboto"
            ],
            "tags": [
              "ai-chatbot",
              "financial-analyst",
              "trading-terminal",
              "goldshield",
              "anti-hallucination"
            ],
            "status": "prototype",
            "overview": "Vollbild-Chat-Terminal mit dem Robo-Advisor-Charakter \"LEO\" als strikt datengetreuer Financial Analyst: Der System-Prompt (laut README) enthält explizite Anti-Halluzinations-Regeln, die verlangen, dass Zahlenangaben exakt aus einem Live-Feed stammen müssen. Umfasst Momentum-/Quotes-Abfragen, Bild- und Datei-Upload-Tools sowie ein Kerzenchart-Modal (TradingView Lightweight Charts) mit ausführlichem Yahoo-kompatiblen Datenmapping aus einer EOD-API.",
            "elevator_pitch": "Ein Chat-Terminal im Bloomberg-Stil, das bewusst gegen KI-Halluzination gehärtet ist — Antworten sollen nur auf tatsächlich abgerufenen Marktdaten basieren, nicht auf Modellwissen.",
            "target_audience": "Trader/Analysten, die ein Gesprächsinterface für Marktdaten wollen, aber Vertrauen in Zahlengenauigkeit brauchen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-neural-core-terminal/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0207",
            "title": "goldshield-neural-financial-deep-core — GOLDSHIELD NEURAL Financial Deep_Core",
            "project": "goldshield-neural-financial-deep-core",
            "category": "GoldShield-Robo-Advisor-Familie (GOLD-NEURAL/GOLD-VAULTY/GOLD-JUNGE)",
            "cluster": "GoldShield-Robo-Advisor-Familie (GOLD-NEURAL/GOLD-VAULTY/GOLD-JUNGE)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "TradingView Lightweight Charts 4.1.3",
              "marked.js",
              "PDF.js 3.11.174",
              "Google Fonts Orbitron/Rajdhani/JetBrains Mono",
              "PWA-Meta-Tags"
            ],
            "tags": [
              "ai-chatbot",
              "mobile-first",
              "trading-strategy-panel",
              "dca",
              "health-score",
              "goldshield"
            ],
            "status": "prototype",
            "overview": "Mobile-optimierte Variante der GoldShield-Chat-Terminal-Familie mit einem ausklappbaren \"Trading Strategy\"-Panel: Auswahl von Zeithorizont (Intraday/Swing/Position/Yearlong), Investment-Stil (Sparplan/DCA/Lump-Sum/Dividend), ein DCA-Vergleichswerkzeug und ein \"Health-Score\"-Badge im Header. Enthält PWA-Meta-Tags (`apple-mobile-web-app-capable`), was auf eine gezielte Mobile-/Homescreen-Nutzung hindeutet.",
            "elevator_pitch": "Der \"Taschenrechner-Begleiter\" für Retail-Anleger, der neben dem Chat direkt eine Strategie-Konfiguration (Zeithorizont + Investment-Stil) anbietet.",
            "target_audience": "Mobile Nutzer/Kleinanleger, die eine App-ähnliche Erfahrung (Homescreen-Icon, Vollbild) statt einer klassischen Desktop-Website erwarten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-neural-financial-deep-core/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0208",
            "title": "goldshield-trading-ai-standalone — GoldShield Trading AI (Local Standalone)",
            "project": "goldshield-trading-ai-standalone",
            "category": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
            "cluster": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Font Awesome",
              "Google Fonts Playfair Display/Inter/IBM Plex Mono",
              "PDF.js",
              "marked.js",
              "DOMPurify",
              "OpenAI API",
              "Stripe"
            ],
            "tags": [
              "fintech",
              "ai-chatbot",
              "robo-advisor",
              "vision-ai",
              "pdf-analysis",
              "api-key-exposed",
              "stripe-paywall"
            ],
            "status": "prototype",
            "overview": "Lokaler KI-Finanzassistent-Chat \"DANIEL.AI\" mit Premium-Zugangssperre (Token-Eingabe + Stripe-Kaufbutton), der direkt vom Browser aus OpenAI GPT-4o/mini aufruft. Bietet Live-Kurse und Momentum-Analyse ueber einen oeffentlichen Marktdaten-Proxy, automatische Trading-Plan-Generierung, Bild-Vision-Analyse von Charts sowie PDF-/Datei-Analyse via PDF.js.",
            "elevator_pitch": "Ein Premium-Robo-Advisor-Chat im Bankhaus-Design (Navy/Gold), der Chartbilder per Vision-AI liest und automatisch Tradingplaene generiert.",
            "target_audience": "Trader/Anleger, die eine \"institutionell\" wirkende KI-Beratung als kostenpflichtiges Premium-Feature kaufen sollen (Stripe-Checkout).",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-trading-ai-standalone/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0209",
            "title": "goldshield-trading-ai-standalone-export — GoldShield Trading AI (GOLD-JUNGE Export)",
            "project": "goldshield-trading-ai-standalone-export",
            "category": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
            "cluster": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CDN",
              "Font Awesome",
              "Google Fonts Inter/Playfair Display",
              "marked.js",
              "PDF.js",
              "Mistral API",
              "Stripe"
            ],
            "tags": [
              "fintech",
              "ai-chatbot",
              "robo-advisor",
              "mistral-api",
              "ocr",
              "api-key-exposed",
              "stripe-paywall"
            ],
            "status": "prototype",
            "overview": "Eigenstaendige Robo-Advisor-Chat-App \"DANIEL.AI\" mit Momentum-Analyse (MMM), Live-Quotes, Bild-/Datei-OCR-Analyse ueber Mistral, Speichern/Download des Chatverlaufs sowie separaten Seiten fuer Analytics, Reports, Settings und Legal/Datenschutz. Premium-Zugang per Token-Eingabe oder Stripe-Kauf.",
            "elevator_pitch": "Erweiterte Variante des GoldShield-Robo-Advisors mit vollem \"App-Gefuehl\" (eigene Analytics-/Reports-/Settings-Unterseiten statt nur Chat).",
            "target_audience": "Zahlende Premium-Nutzer, die einen vollstaendigeren Funktionsumfang als die reine Standalone-Chat-Variante erwarten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-trading-ai-standalone-export/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0210",
            "title": "goldshield-trading-ai-standalone-v1 — GoldShield Trading AI (GOLD-JUNGE v1, mit Chart-Modal)",
            "project": "goldshield-trading-ai-standalone-v1",
            "category": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
            "cluster": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CDN",
              "Font Awesome",
              "TradingView Lightweight Charts",
              "marked.js",
              "PDF.js",
              "Mistral API",
              "Stripe"
            ],
            "tags": [
              "fintech",
              "ai-chatbot",
              "robo-advisor",
              "tradingview-charts",
              "mistral-api",
              "api-key-exposed"
            ],
            "status": "prototype",
            "overview": "Weiterentwicklung von `goldshield-trading-ai-standalone-export`: identischer Robo-Advisor-Chat mit Momentum/Quotes/Bild-/Datei-Tools, zusaetzlich ein Candlestick/Line/Area-Chart-Modal auf Basis von TradingView Lightweight Charts inklusive Zeitraum- und Chart-Typ-Auswahl.",
            "elevator_pitch": "Dieselbe DANIEL.AI-Erfahrung wie die Export-Variante, jetzt mit einem professionellen TradingView-Chart direkt im Chat-Interface statt nur Text-Antworten.",
            "target_audience": "Trader, denen die reine Text-/Tabellen-Antwort der Export-Version nicht reicht und die visuelle Kursdiagramme direkt in der App sehen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-trading-ai-standalone-v1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0211",
            "title": "HISTRY-BÖRSE — historische-boerse-v2 (2)",
            "project": "historische-boerse-v2-2",
            "category": "Finanzanalyse-Tools",
            "cluster": "Finanzanalyse-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Chart.js",
              "CSS"
            ],
            "tags": [
              "finanzmärkte",
              "historische analyse",
              "charting",
              "investoren",
              "marktbeobachtung"
            ],
            "status": "prototype",
            "overview": "Diese Webapp bietet eine umfassende Analyse der historischen Finanzmärkte von 1900 bis 2026, mit Fokus auf Bubbles, Crashs und Candlestick-Charts. Sie richtet sich an Finanzanalysten, Investoren und Marktbeobachter.",
            "elevator_pitch": "Eine interaktive Plattform zur Analyse historischer Finanzdaten.",
            "target_audience": "Finanzanalysten und Investoren.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/historische-boerse-v2-2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0212",
            "title": "indicator1 — EODHD Technical Indicators API Example",
            "project": "indicator1",
            "category": "EODHD-API-Beispiel-Serie",
            "cluster": "EODHD-API-Beispiel-Serie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4",
              "jQuery",
              "Popper.js",
              "EODHD Technical Indicators API"
            ],
            "tags": [
              "fintech",
              "technical-indicators",
              "sma",
              "rsi",
              "macd",
              "bollinger",
              "api-key-exposed"
            ],
            "status": "prototype",
            "overview": "Ein-Formular-Tool zum Abrufen technischer Indikatoren (SMA, EMA, WMA, Volatility, RSI, STDDEV, MACD, ATR, CCI, Parabolic SAR, Bollinger Bands) fuer ein beliebiges Symbol ueber die EODHD Technical-Indicators-API, Ergebnis als einfache Datum/Wert-Tabelle.",
            "elevator_pitch": "Ein direktes API-Beispiel/Testwerkzeug fuer die EODHD-Technical-Indicators-Schnittstelle — Symbol und Indikator waehlen, Zeitraum festlegen, Tabelle erhalten.",
            "target_audience": "Entwickler, die die EODHD-API evaluieren oder als Ausgangspunkt fuer eigene Indikator-Tools nutzen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/indicator1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0213",
            "title": "indicator4 — EODHD Intraday Historical Data API Example",
            "project": "indicator4",
            "category": "EODHD-API-Beispiel-Serie",
            "cluster": "EODHD-API-Beispiel-Serie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4",
              "jQuery",
              "Popper.js",
              "EODHD Intraday API"
            ],
            "tags": [
              "fintech",
              "intraday-data",
              "historical-data",
              "api-key-exposed"
            ],
            "status": "prototype",
            "overview": "Ein-Formular-Tool zum Abrufen historischer Intraday-Kursdaten (1-Minute/5-Minuten/1-Stunde-Aufloesung) fuer ein beliebiges Symbol ueber die EODHD Intraday-API, Ergebnis als Tabelle mit allen zurueckgegebenen Feldern (OHLC etc., ohne Timestamp/GMT-Offset-Spalten).",
            "elevator_pitch": "Direktes API-Beispiel fuer historische Intraday-Daten — Symbol, Intervall und Zeitraum waehlen, Rohdaten-Tabelle erhalten (neueste zuerst).",
            "target_audience": "Entwickler, die die EODHD-Intraday-API testen oder als Ausgangspunkt fuer eigene Backtesting-/Chart-Tools nutzen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/indicator4/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0214",
            "title": "infosys1wechselstube2 — FX Corporation Dashboard",
            "project": "infosys1wechselstube2",
            "category": "unabhaengig (Frankfurter-API-Variante)",
            "cluster": "unabhaengig (Frankfurter-API-Variante)",
            "tier": "3",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CDN",
              "Chart.js",
              "Vanilla JS",
              "Frankfurter API"
            ],
            "tags": [
              "fintech",
              "currency-converter",
              "chart",
              "no-api-key",
              "dark-theme"
            ],
            "status": "prototype",
            "overview": "Waehrungsrechner-Dashboard im dunklen Tailwind-Design: Betrag eingeben, Von-/Nach-Waehrung waehlen (dynamisch aus der Frankfurter API befuellt), sofortige Umrechnung, zusaetzlich eine Kachel-Uebersicht \"Top 5 Waehrungspaare\" (EUR/USD/GBP/JPY/CHF/AUD relativ zur Basiswaehrung) und ein Chart.js-Liniendiagramm mit 7-Tage-Kursverlauf des gewaehlten Paars.",
            "elevator_pitch": "Ein optisch aufwendigerer Waehrungsrechner als die schlichte `frankfurter-currency-converter`-Variante — mit Top-Rates-Uebersicht und Verlaufschart in einem dunklen \"Corporate Dashboard\"-Look.",
            "target_audience": "Nutzer, die neben der reinen Umrechnung auch einen schnellen Ueberblick ueber mehrere wichtige Kurse gleichzeitig wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/infosys1wechselstube2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0215",
            "title": "international — Genitus International Markets",
            "project": "international-15",
            "category": "Genitus International Markets",
            "cluster": "Genitus International Markets",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Chart.js",
              "Google Fonts"
            ],
            "tags": [
              "aktienanalyse",
              "finanzmärkte",
              "kaufsignale",
              "verkaufsignale"
            ],
            "status": "prototype",
            "overview": "Webapp zur Analyse von Aktienkursen mit Fokus auf internationale Märkte, insbesondere USA und Deutschland. Sie bietet Signale für Kauf- und Verkaufspositionen basierend auf einer Mittelpreismethode.",
            "elevator_pitch": "Eine umfassende Plattform zur Analyse internationaler Aktienmärkte.",
            "target_audience": "Investoren und Trader, die an internationalen Märkten interessiert sind.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/international-15/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0216",
            "title": "intraday-markov — Intraday Analyse von Aktien",
            "project": "intraday-markov",
            "category": "Domvs-Avrea/Intraday-Analyse-Tools",
            "cluster": "Domvs-Avrea/Intraday-Analyse-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Lightweight Charts"
            ],
            "tags": [
              "intraday-analysis",
              "stock-market",
              "market-phases",
              "reversals",
              "seasonal-patterns"
            ],
            "status": "prototype",
            "overview": "Die Web-App \"ISO JOE Micro Hour Terminal Pro\" bietet eine umfassende Analyse von Intraday-Daten für Aktien, einschließlich Tools zur Erkennung von Marktphasen und saisonalen Mustern.",
            "elevator_pitch": "Eine leistungsstarke Web-App zur Analyse von Intraday-Daten, die Investoren hilft, Marktbewegungen besser zu verstehen.",
            "target_audience": "Aktienhändler und Investoren.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/intraday-markov/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0217",
            "title": "intraday-shannon — Micro Hour Terminal Pro für Intraday-Trading",
            "project": "intraday-shannon",
            "category": "Domvs-Avrea/Quantitative Trading Tools",
            "cluster": "Domvs-Avrea/Quantitative Trading Tools",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Lightweight Charts"
            ],
            "tags": [
              "intraday-trading",
              "quantitative-analysis",
              "real-time-data",
              "trading-strategies"
            ],
            "status": "prototype",
            "overview": "Micro Hour Terminal Pro ist ein quantitatives Analyse-Tool für Intraday-Trading, das Echtzeit-Daten von Aktien anzeigt und verschiedene Trading-Strategien unterstützt. Es bietet eine benutzerfreundliche Oberfläche zur Analyse und Entscheidungsfindung im Handel.",
            "elevator_pitch": "Ein leistungsstarkes Tool für Trader, die Echtzeit-Daten und Analysen benötigen.",
            "target_audience": "Intraday-Trader und Investoren.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/intraday-shannon/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0218",
            "title": "iso-joe-micro-hour-terminal — ISO JOE Micro Hour Intraday Terminal",
            "project": "iso-joe-micro-hour-terminal",
            "category": "ISO-JOE-Serie (Saisonalitaets-Terminal-Familie)",
            "cluster": "ISO-JOE-Serie (Saisonalitaets-Terminal-Familie)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Lightweight Charts CDN",
              "Google Fonts Orbitron",
              "Fetch API",
              "externer Yahoo-Proxy"
            ],
            "tags": [
              "fintech",
              "trading-terminal",
              "seasonality",
              "intraday",
              "candlestick",
              "single-purpose-tool"
            ],
            "status": "prototype",
            "overview": "Einseitiges Intraday-Trading-Terminal (14 KB) im dunklen Cyberpunk-Look. Laedt fuer einen Ticker (Default `^SPX`) 10 Tage 1-Stunden-Kerzen von einem externen Yahoo-Chart-Proxy, zeichnet sie als Candlestick-Chart und aggregiert sie zusaetzlich zu einer stuendlichen Saisonalitaets-Matrix (Durchschnittsrendite + Win-Rate je US-Handelsphase von Opening Bell bis Power Hour).",
            "elevator_pitch": "\"ISO JOE\" — ein Mini-Radar, das zeigt, in welcher Handelsstunde ein Ticker statistisch am haeufigsten steigt oder faellt.",
            "target_audience": "Intraday-Trader, die eine schnelle statistische Edge-Einschaetzung pro Handelsstunde suchen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/iso-joe-micro-hour-terminal/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0219",
            "title": "iso-joe-micro-hour-terminal-markov — ISO JOE Micro Hour Terminal Pro (Markov)",
            "project": "iso-joe-micro-hour-terminal-markov",
            "category": "ISO-JOE-Serie (Saisonalitaets-Terminal-Familie)",
            "cluster": "ISO-JOE-Serie (Saisonalitaets-Terminal-Familie)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Lightweight Charts CDN",
              "Google Fonts Orbitron",
              "Fetch API",
              "externer Yahoo-Proxy"
            ],
            "tags": [
              "fintech",
              "trading-terminal",
              "seasonality",
              "intraday",
              "markov-chain",
              "candlestick"
            ],
            "status": "prototype",
            "overview": "Erweiterte Version von `iso-joe-micro-hour-terminal`: gleiches Candlestick-Chart und gleiche Hourly-Seasonality-Matrix, zusaetzlich drei neue Analyse-Widgets — \"Intraday Momentum Chaining\" (Markov-Ketten-Uebergangswahrscheinlichkeiten zwischen aufeinanderfolgenden Handelsstunden am selben Tag), \"Power Hour Reversal Predictor\" (wie oft dreht die letzte Handelsstunde den Tagestrend) und \"Overnight vs. Intraday Session Radar\" (kumulierte Gap- vs. Intraday-Performance).",
            "elevator_pitch": "Dieselbe Micro-Radar-Idee wie die Basisversion, aber mit einer echten Markov-Kette, die zeigt \"wenn Stunde X bullisch war, wie wahrscheinlich ist Stunde Y auch bullisch?\".",
            "target_audience": "Intraday-Trader mit quantitativem Anspruch, die einfache Sequenz-Abhaengigkeiten zwischen Handelsstunden sehen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/iso-joe-micro-hour-terminal-markov/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0220",
            "title": "iso-joe-micro-hour-terminal-shannon — ISO JOE: Micro Hour Terminal Pro (Shannon Entropy)",
            "project": "iso-joe-micro-hour-terminal-shannon",
            "category": "ISO JOE Serie (Micro-Hour / Shannon-Entropy)",
            "cluster": "ISO JOE Serie (Micro-Hour / Shannon-Entropy)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Lightweight Charts CDN",
              "Google Fonts Orbitron",
              "Fetch API"
            ],
            "tags": [
              "fintech",
              "trading-terminal",
              "markov-chain",
              "shannon-entropy",
              "intraday",
              "iso-joe"
            ],
            "status": "prototype",
            "overview": "Ein-Datei-Trading-Terminal (592 Zeilen) im Dark-Cyberpunk-Look: Stunden-Kerzen eines Tickers werden per Markov-Kette (Grün/Rot-Übergänge je Handelsstunde) analysiert, zusätzlich wird pro Stunden-Übergang die Shannon-Entropie berechnet und als \"Chaos-Filter\" ausgegeben (Muster erkannt vs. Rauschen). Erweiterte Variante von `INTRADAY-MARKOV` um die Entropie-Metrik.",
            "elevator_pitch": "Ein Intraday-Terminal, das nicht nur sagt \"diese Stunde ist meistens grün\", sondern auch, wie verlässlich dieses Muster statistisch ist (Shannon-Entropie als Rauschfilter).",
            "target_audience": "Intraday-/Daytrader, die stundenbasierte Wiederholungsmuster suchen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/iso-joe-micro-hour-terminal-shannon/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0221",
            "title": "iso-joe-seasonality-monthly — ISO JOE: Monatliche Saisonalitäts-Matrix",
            "project": "iso-joe-seasonality-monthly",
            "category": "ISO JOE Serie (Seasonality)",
            "cluster": "ISO JOE Serie (Seasonality)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Lightweight Charts CDN",
              "Google Fonts Orbitron",
              "Fetch API"
            ],
            "tags": [
              "fintech",
              "trading-terminal",
              "seasonality",
              "monthly-returns",
              "iso-joe"
            ],
            "status": "prototype",
            "overview": "Trading-Terminal (466 Zeilen), das 5 Jahre Kursdaten eines Tickers nach Kalendermonat gruppiert und die durchschnittliche monatliche Rendite plus Win-Rate als Histogramm anzeigt, inklusive Long/Short-Edge-Empfehlung basierend auf dem historisch besten/schlechtesten Monat. Interessant: Der `<title>`-Tag im Code lautet \"TREND RIDER — Quant Seasonality Matrix v2\" — die ISO-JOE-Markenbezeichnung existiert nur im Dateinamen/README, nicht im sichtbaren Branding der Seite selbst.",
            "elevator_pitch": "\"In welchem Monat performt dieser Ticker historisch am besten?\" — auf einen Blick per Histogramm beantwortet.",
            "target_audience": "Swing-/Positionstrader mit Fokus auf saisonale Muster (z.B. \"Sell in May\").",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/iso-joe-seasonality-monthly/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0222",
            "title": "iso-joe-seasonality-quarterly — ISO JOE: Quartalsweise Saisonalitäts-Engine",
            "project": "iso-joe-seasonality-quarterly",
            "category": "ISO JOE Serie (Seasonality)",
            "cluster": "ISO JOE Serie (Seasonality)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Lightweight Charts CDN",
              "Google Fonts Orbitron",
              "Fetch API"
            ],
            "tags": [
              "fintech",
              "trading-terminal",
              "seasonality",
              "quarterly-returns",
              "iso-joe"
            ],
            "status": "prototype",
            "overview": "Nahezu identischer Code-Zwilling zu `iso-joe-seasonality-monthly` (412 Zeilen), gruppiert die 5-Jahres-Kurshistorie eines Tickers aber nach Quartalen (Q1–Q4) statt nach Kalendermonat und zeigt die durchschnittliche Quartalsperformance als Histogramm mit historischem Log. `<title>`-Tag: \"TREND RIDER — Seasonal Quant Engine\" (gleiche Marken-Inkonsistenz wie die Monats-Variante).",
            "elevator_pitch": "Saisonalitäts-Analyse auf Quartalsebene statt Monatsebene — gröberes, aber stabileres Signal für längerfristige Positionierung.",
            "target_audience": "Positionstrader/Investoren, die auf Quartals-Rotation (z.B. Q4-Rally-Effekte) setzen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/iso-joe-seasonality-quarterly/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0223",
            "title": "journal-basic — Trading Journal v4",
            "project": "journal-basic",
            "category": "Trading-Tools",
            "cluster": "Trading-Tools",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "trading-journal",
              "performance-analysis",
              "ai-tools"
            ],
            "status": "prototype",
            "overview": "Trading Journal v4 ist eine Web-App zur Dokumentation und Analyse von Trading-Handeln mit KI-Unterstützung. Sie hilft Tradern, ihre Trades zu verfolgen, zu analysieren und ihre Performance zu verbessern.",
            "elevator_pitch": "Eine umfassende Lösung für Trader zur Analyse ihrer Handelsaktivitäten.",
            "target_audience": "Trader und Investoren, die ihre Performance verbessern möchten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/journal-basic/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0224",
            "title": "kontoauszug-extractor-v5 — Kontoauszug und Versicherungspolicen Extraktor",
            "project": "kontoauszug-extractor-v5",
            "category": "Vaulty",
            "cluster": "Vaulty",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "PDF.js"
            ],
            "tags": [
              "kontoauszug",
              "versicherungspolice",
              "DSGVO",
              "lokale Verarbeitung",
              "Finanzanalyse"
            ],
            "status": "prototype",
            "overview": "Vaulty ist eine lokale Webanwendung, die es Nutzern ermöglicht, Kontoauszüge und Versicherungspolicen zu extrahieren und anonymisieren. Die Verarbeitung erfolgt vollständig im Browser und ist DSGVO-konform.",
            "elevator_pitch": "Ein Tool zur sicheren und anonymen Verarbeitung von Finanzdokumenten.",
            "target_audience": "Privatpersonen, die ihre Finanzdaten sicher verwalten möchten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/kontoauszug-extractor-v5/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0225",
            "title": "lemarche-index — LeMarché // Retail Trader Platform (Index)",
            "project": "lemarche-index",
            "category": "Hub/Index-Familie (LeMarche/Neural Command/Neural Deluxe)",
            "cluster": "Hub/Index-Familie (LeMarche/Neural Command/Neural Deluxe)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron+JetBrains Mono",
              "IntersectionObserver",
              "Iframe-Lazy-Load"
            ],
            "tags": [
              "fintech",
              "hub-index",
              "trading-tools",
              "lazy-iframe",
              "lemarche"
            ],
            "status": "prototype",
            "overview": "Hub-/Index-Seite (689 Zeilen) mit Karten-Grid im Light/Dark-Theme, die eine Sammlung von Trading- und Marktanalyse-Apps bündelt: BrokerAI, PeakValley, Goldshield, GlobalFintech, LeGraph, L'Average, LeMoment, L'Intraday, LeGlobal, LeView. Jede Karte lädt per `IntersectionObserver` eine Live-Vorschau der jeweiligen externen App als Lazy-Load-iFrame, sobald sie in den Viewport scrollt.",
            "elevator_pitch": "Eine kuratierte Trading-Tool-Landingpage im französisch angehauchten \"LeMarché\"-Branding, die mehrere spezialisierte Fintech-Mini-Apps als Live-Vorschau präsentiert statt nur zu verlinken.",
            "target_audience": "Retail-Trader, die auf einer Seite mehrere Analyse-Tools (Broker-KI, Kerzenmuster, SMA-Bot, Momentum, Intraday) entdecken/nutzen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/lemarche-index/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0226",
            "title": "limit-pivot-orders — Pivot-Punkte und Cluster-Analyse für Trader",
            "project": "limit-pivot-orders",
            "category": "Domvs-Avrea/Trading-Tools",
            "cluster": "Domvs-Avrea/Trading-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Chart.js",
              "Google Fonts Orbitron",
              "JetBrains Mono"
            ],
            "tags": [
              "pivot-points",
              "cluster-analysis",
              "trading-signals",
              "stock-analysis",
              "algorithm"
            ],
            "status": "prototype",
            "overview": "Die Webapp analysiert und visualisiert Pivot-Punkte und Cluster-Levels für Aktien, um Trading-Signale zu generieren. Sie richtet sich an Trader und Analysten, die Pivot-Analysen nutzen möchten.",
            "elevator_pitch": "Eine leistungsstarke Analyse- und Visualisierungs-Tool für Trader.",
            "target_audience": "Trader und Finanzanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/limit-pivot-orders/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0227",
            "title": "markov-predictions-trend-rider — Trend Rider // Gemini-OS EOD Markov Engine",
            "project": "markov-predictions-trend-rider",
            "category": "Trend Rider / Gemini-OS Markov-Familie",
            "cluster": "Trend Rider / Gemini-OS Markov-Familie",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4 CDN",
              "TradingView Widget",
              "Vanilla JS",
              "Fetch API"
            ],
            "tags": [
              "fintech",
              "trading-terminal",
              "markov-chain",
              "tradingview",
              "eod-proxy"
            ],
            "status": "prototype",
            "overview": "Trading-Tool (371 Zeilen), das aus historischen Tageskerzen (Open/Close) eine binäre Markov-Übergangsmatrix (Grün/Rot) per Maximum-Likelihood-Schätzung ableitet und daraus eine Wahrscheinlichkeit für die nächste Kerze samt Long/Short-Bias berechnet. Ein echtes TradingView-Chart-Widget ist eingebettet, Aktienauswahl per Buttons (\"Asset-Pills\") oder manueller Ticker-Eingabe mit automatischer Suffix-Ergänzung (z.B. `.XETRA`).",
            "elevator_pitch": "\"Was ist wahrscheinlicher, die nächste Kerze grün oder rot?\" — beantwortet per Markov-Kette auf Basis der eigenen historischen Handelsdaten des Tickers.",
            "target_audience": "EOD-/Swingtrader, die einfache probabilistische Fortsetzungsmuster suchen, kombiniert mit einem echten TradingView-Chart zur visuellen Bestätigung.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/markov-predictions-trend-rider/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0228",
            "title": "mega-commando-zentrale — Quantum Infrared Engine v22.0 // Mega Commando Zentrale",
            "project": "mega-commando-zentrale",
            "category": "Neural Trading Suite (Sammel-Terminal)",
            "cluster": "Neural Trading Suite (Sammel-Terminal)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3 CDN",
              "Google Fonts Orbitron+Rajdhani",
              "Vanilla JS",
              "Fetch API"
            ],
            "tags": [
              "fintech",
              "trading-terminal",
              "multi-tool",
              "bonds",
              "fx",
              "etf",
              "macro",
              "mega-app"
            ],
            "status": "prototype",
            "overview": "Riesiges Multi-Tab-Trading-Kommandozentrum (5405 Zeilen, ~379 KB) mit über 20 Analyse-Modulen als Karten/Tabs: Spread-Analyse (AI Statistical Arb), Core Execution Layers, Argentum Daily/Intraday (Z-Score Relative Strength / Alpha Delta Radar), Body Slam (Mean Reversion), Hidden Smash (Institutional Liquidity Trap Detector), Consultus Daily/Weekly (Compression-Engines), Corpus Parvus, Denarius (Neural Cluster Spread Matrix), Neural Hedging System, Volumina (Volume Compression), Peak Valley (Geometric Formation Detector), JSON Symbol Manager, Exchange Matrix, Neural Fixed-Income Terminal (Sovereign Bonds), FX Quant Terminal, ETF-/Funds-Manager, Rohstoffe & Makro-Spread, Global Macro Alpha Terminal. Navigation über Burger-Menü statt klassischer Tab-Leiste.",
            "elevator_pitch": "Eine einzige Datei als \"eierlegende Wollmilchsau\" für institutionelle Multi-Asset-Analyse — von Aktien-Spreads über Anleihen bis FX und Rohstoffe, alles in einem Terminal.",
            "target_audience": "Power-User/Prop-Trader, die viele spezialisierte Analyse-Module zentral griffbereit haben wollen statt zwischen Einzeltools zu wechseln.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/mega-commando-zentrale/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0229",
            "title": "mensis2020 — Jahresanfang Handelstag Analyse (Basisjahr 2020)",
            "project": "mensis2020",
            "category": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
            "cluster": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Fetch API",
              "EOD Historical Data API"
            ],
            "tags": [
              "fintech",
              "stock-analysis",
              "year-to-date",
              "eodhistoricaldata",
              "mensis"
            ],
            "status": "prototype",
            "overview": "Sehr kleines Single-Purpose-Tool (95 Zeilen): Nutzer gibt eine oder mehrere Börsensymbole (kommagetrennt) ein, das Skript ermittelt den Schlusskurs am ersten Handelstag des Jahres 2020 (mit Wochenend-Korrektur auf den nächsten Montag) und vergleicht ihn mit dem aktuellsten verfügbaren Schlusskurs, um LONG/SHORT-Einschätzung und Performance in % auszugeben.",
            "elevator_pitch": "\"Wie hat sich diese Aktie seit Anfang 2020 entwickelt?\" — Ein-Klick-Antwort mit LONG/SHORT-Tag und Prozentzahl.",
            "target_audience": "Trader/Analysten, die schnell die Performance seit einem fixen Referenzdatum (hier: Jahresanfang 2020) über mehrere Symbole gleichzeitig prüfen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/mensis2020/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0230",
            "title": "mensis3annis — Jahresanfang Handelstag Analyse (Basisjahr 2022 / \"3 Jahre\")",
            "project": "mensis3annis",
            "category": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
            "cluster": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Fetch API",
              "EOD Historical Data API"
            ],
            "tags": [
              "fintech",
              "stock-analysis",
              "year-to-date",
              "eodhistoricaldata",
              "mensis"
            ],
            "status": "prototype",
            "overview": "Code-Zwilling zu `mensis2020` (94 Zeilen) mit identischer Logik, aber fest codiertem Basisjahr 2022 statt 2020 (daher vermutlich der Name \"3ANNIS\" — Analyse über ca. 3 Jahre rückblickend zum Zeitpunkt der Erstellung).",
            "elevator_pitch": "Gleiche Funktion wie `mensis2020`, aber mit ~3-Jahres-Horizont (Basis Januar 2022) statt seit 2020.",
            "target_audience": "Analysten, die einen mittelfristigen statt vollen Langfrist-Vergleich wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/mensis3annis/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0231",
            "title": "mensisanno — Jahresanfang Handelstag Analyse (laufendes Jahr, dynamisch)",
            "project": "mensisanno",
            "category": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
            "cluster": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Fetch API",
              "EOD Historical Data API"
            ],
            "tags": [
              "fintech",
              "stock-analysis",
              "year-to-date",
              "eodhistoricaldata",
              "mensis"
            ],
            "status": "prototype",
            "overview": "Dritte Variante der Mensis-Serie (96 Zeilen): statt eines fest codierten Jahres wird `new Date().getFullYear()` verwendet — das Tool berechnet den ersten Handelstag des **aktuell laufenden Jahres** automatisch und vergleicht ihn mit dem neuesten Schlusskurs. Einzige Variante der vier Mensis-Dateien, die ohne manuelle Anpassung \"für immer\" aktuell bleibt.",
            "elevator_pitch": "Die \"immer aktuelle\" Version des Jahresanfangs-Vergleichs — kein manuelles Update des Basisjahres nötig.",
            "target_audience": "Nutzer, die eine laufend gültige Year-to-Date-Performance-Abfrage wollen, ohne die Quelldatei jährlich anzupassen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/mensisanno/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0232",
            "title": "mensisorigin — Performance seit IPO / erstem verfügbaren Kurs",
            "project": "mensisorigin",
            "category": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
            "cluster": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Fetch API",
              "EOD Historical Data API"
            ],
            "tags": [
              "fintech",
              "stock-analysis",
              "ipo-performance",
              "eodhistoricaldata",
              "mensis"
            ],
            "status": "prototype",
            "overview": "Vierte und funktional eigenständigste Variante der Mensis-Serie (86 Zeilen, README-Label \"IPO\"): statt eines fixen Kalenderdatums wird per zusätzlichem API-Aufruf (`order=a`, `limit=1`) der **erste überhaupt verfügbare Handelstag** eines Symbols ermittelt (= IPO-Datum oder Datenbeginn) und die Gesamtperformance seit diesem Datum berechnet.",
            "elevator_pitch": "\"Wie hat sich diese Aktie seit ihrem Börsengang entwickelt?\" — automatische IPO-Erkennung statt manuellem Referenzdatum.",
            "target_audience": "Analysten/Investoren, die die Gesamtperformance eines Titels seit Erstnotiz sehen wollen, ohne das IPO-Datum selbst nachschlagen zu müssen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/mensisorigin/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0233",
            "title": "momentumbombe2 — MOMENTUM Intraday Trading App",
            "project": "momentumbombe2",
            "category": "Momentum-Intraday-Familie",
            "cluster": "Momentum-Intraday-Familie",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4 CDN",
              "Vanilla JS",
              "EOD Historical Data API"
            ],
            "tags": [
              "fintech",
              "intraday-trading",
              "dax",
              "dow",
              "nasdaq",
              "crypto",
              "forex",
              "momentum"
            ],
            "status": "prototype",
            "overview": "Trading-Tool (647 Zeilen) mit Echtzeitkurs-Abfrage für einzelne Aktien: Nutzer wählt einen übergeordneten Index (DAX, DOW JONES, NASDAQ 100, CRYPTO, FOREX, INDEX) aus einem Dropdown, worauf sich ein zweites Dropdown mit den zugehörigen Einzeltiteln (z.B. komplette DAX-Zusammensetzung mit XETRA-Tickersuffix) füllt; alternativ freie Ticker-Eingabe. Ein \"Get Trade\"-Button ruft den Echtzeitkurs ab.",
            "elevator_pitch": "Schneller Echtzeitkurs-Check über mehrere Anlageklassen (Aktien/Krypto/Forex) hinweg, mit vorbefüllten Index-Zusammensetzungen statt manueller Ticker-Recherche.",
            "target_audience": "Intraday-Trader, die schnell zwischen verschiedenen Indizes/Assetklassen wechseln wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/momentumbombe2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0234",
            "title": "nasdaqexe — OPEN TRADING Nasdaq 100 Performance",
            "project": "nasdaqexe",
            "category": "Open Trading Nasdaq 100\"-Familie",
            "cluster": "Open Trading Nasdaq 100\"-Familie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4 CDN",
              "Vanilla JS",
              "EOD Historical Data API"
            ],
            "tags": [
              "fintech",
              "nasdaq100",
              "weekly-scan",
              "eodhistoricaldata",
              "friday-close"
            ],
            "status": "prototype",
            "overview": "Scanner-Tool (340 Zeilen) über alle ~100 Nasdaq-100-Titel: für jedes Symbol werden die Schlusskurse der letzten 3 Freitage abgerufen und mit dem aktuellsten Schlusskurs verglichen, Ergebnis wird in einer neon-cyan-gestylten Tabelle mit Profit-Spalte (grüner Neon-Glow) dargestellt. Läuft nur einmal wöchentlich neu (Trigger: `dayOfWeek === 6`, also Samstag) statt bei jedem Seitenaufruf.",
            "elevator_pitch": "Ein automatischer Wochen-Scanner über den kompletten Nasdaq-100-Index, der auf einen Blick zeigt, welche Titel sich seit den letzten drei Freitagen positiv entwickelt haben.",
            "target_audience": "Swingtrader, die eine wöchentliche Nasdaq-100-Übersicht statt manueller Einzelabfrage wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/nasdaqexe/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0235",
            "title": "nasdaqopen — OPEN TRADING Nasdaq 100",
            "project": "nasdaqopen",
            "category": "Open Trading Nasdaq 100\"-Familie",
            "cluster": "Open Trading Nasdaq 100\"-Familie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4 CDN",
              "Vanilla JS",
              "EOD Historical Data API"
            ],
            "tags": [
              "fintech",
              "nasdaq100",
              "weekly-scan",
              "eodhistoricaldata",
              "friday-close"
            ],
            "status": "prototype",
            "overview": "Funktional nahezu identisches Duplikat von `nasdaqexe` (354 Zeilen vs. 340): gleicher Nasdaq-100-Scanner, der die letzten 3 Freitags-Schlusskurse gegen den aktuellen Kurs vergleicht. Unterschiede laut Diff: `<h1>`-Text ohne den Zusatz \"Performance\", ein zusätzlicher Media-Query-Block für die mobile Kartenansicht (`@media max-width:480px`), sowie rein kosmetische Formatierungs-/Einrückungsunterschiede im JS — die Kernlogik (`performCandleApiRequest`, Freitags-Filter, API-Aufruf) ist identisch.",
            "elevator_pitch": "Siehe `nasdaqexe` — praktisch dasselbe Tool.",
            "target_audience": "Identisch zu `nasdaqexe`.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/nasdaqopen/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0236",
            "title": "neural-command — Neural Command // Trading Omega Index",
            "project": "neural-command",
            "category": "Hub/Index-Familie (LeMarche/Neural Command/Neural Deluxe)",
            "cluster": "Hub/Index-Familie (LeMarche/Neural Command/Neural Deluxe)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron+JetBrains Mono"
            ],
            "tags": [
              "fintech",
              "hub-index",
              "trading-tools",
              "search",
              "neural-command"
            ],
            "status": "prototype",
            "overview": "Hub-/Index-Seite (2364 Zeilen) mit Karten-Grid, Suchfeld und Light/Dark-Theme im selben visuellen System wie `lemarche-index`. Verweist als reine Linksammlung auf über 20 externe Trading-, \"Omega\"- und Legacy-Tools sowie CSV-Datenquellen und Zentralbank-Kategorien (EZB/IWF/FED), alle als farbcodierte Karten (Gold/Cyan/Magenta je nach Tool-Typ).",
            "elevator_pitch": "Ein durchsuchbares \"App-Verzeichnis\" für die gesamte Neural-Trading-Suite — von Commando-Zentrale über Trend Rider bis Dude Bank.",
            "target_audience": "Interne/eigene Nutzer der Neural-Trading-Apps-Familie, die schnell zwischen vielen Einzeltools navigieren wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural-command/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0237",
            "title": "neural-deluxe-hub-slim — Neural Deluxe — Institutional Trading Hub (Slim)",
            "project": "neural-deluxe-hub-slim",
            "category": "Hub/Index-Familie (Neural Deluxe)",
            "cluster": "Hub/Index-Familie (Neural Deluxe)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Font Awesome 6.4 CDN",
              "Iframe-Embedding"
            ],
            "tags": [
              "fintech",
              "hub-index",
              "sidebar-shell",
              "trading-tools",
              "iframe-container"
            ],
            "status": "prototype",
            "overview": "Sidebar-basierter App-Switcher-Hub (942 Zeilen) im Stil eines schlanken Desktop-Clients: eine ein-/ausklappbare Sidebar listet über 25 externe Trading-/Portfolio-/Analyse-Tools kategorisiert (⚡ Execution, 📊 Analysis, 🛡️ Portfolio, 🚀 Advanced, 📚 Research) und lädt die Auswahl per iFrame im Hauptbereich — mobiles Overlay-Menü für kleine Bildschirme.",
            "elevator_pitch": "Ein \"Trading-Betriebssystem\" mit Sidebar-Navigation statt Kartengrid — wirkt näher an einer echten Desktop-App als die Karten-basierten Hub-Varianten der Serie.",
            "target_audience": "Power-User, die viele Fintech-Tools in einer durchgehenden Session (ohne Tab-Wechsel im Browser) nutzen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural-deluxe-hub-slim/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0238",
            "title": "neural-deluxe-index — Neural Deluxe // Institutional Platform (Index)",
            "project": "neural-deluxe-index",
            "category": "Hub/Index-Familie (Neural Deluxe)",
            "cluster": "Hub/Index-Familie (Neural Deluxe)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron+JetBrains Mono"
            ],
            "tags": [
              "fintech",
              "hub-index",
              "trading-tools",
              "tier-badges",
              "neural-deluxe"
            ],
            "status": "prototype",
            "overview": "Hub-/Index-Seite (1383 Zeilen) im selben visuellen System wie `lemarche-index`/`neural-command`: Header mit Stats-Zeile, Tier-Kennzeichnung und Kartengrid für eine Sammlung institutioneller Trading-Tools. Kartentitel sind kurze Codenamen (z.B. \"OrderMgr\", \"BrokerAI\", \"TechBot1\", \"Denarius\") mit Lazy-Preview-iFrame — identisches Karten-/Lazy-Load-Prinzip wie `lemarche-index`, aber mit anderer Tool-Auswahl und Tier-Badges.",
            "elevator_pitch": "Die \"Kartenansicht\"-Schwester von `neural-deluxe-hub-slim` — dieselbe Tool-Sammlung, aber als durchsuchbares Grid mit Live-Vorschauen statt Sidebar.",
            "target_audience": "Nutzer, die einen visuellen Überblick (Vorschau-Kacheln) statt einer reinen Navigationsliste bevorzugen.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural-deluxe-index/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0239",
            "title": "NEURAL Deluxe — Institutional Trading Hub",
            "project": "neural-deluxe-institutional-hub",
            "category": "Institutional Trading Hub",
            "cluster": "Institutional Trading Hub",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Font Awesome 6.4.0",
              "iFrame"
            ],
            "tags": [
              "trading-hub",
              "institutional-tools",
              "iframe",
              "dashboard"
            ],
            "status": "prototype",
            "overview": "Passwortgeschützter Sidebar-Hub, der eine Vielzahl von Trading-Tools über iFrames integriert. Die Benutzeroberfläche ist auf institutionelle Trader ausgerichtet und bietet Zugriff auf verschiedene Funktionen wie Orderbook, Broker-AI und Portfolio-Analyse.",
            "elevator_pitch": "Ein zentraler Zugangspunkt für institutionelle Trader zu einer Vielzahl von Tools.",
            "target_audience": "Institutionelle Investoren und Trader.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural-deluxe-institutional-hub/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0240",
            "title": "neural-depot — Neural Portfolio Dashboard",
            "project": "neural-depot",
            "category": "Domvs-Avrea/Neural Portfolio",
            "cluster": "Domvs-Avrea/Neural Portfolio",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Chart.js"
            ],
            "tags": [
              "portfolio-analysis",
              "stock-analysis",
              "AI-signals",
              "CSV-import",
              "portfolio-management"
            ],
            "status": "prototype",
            "overview": "Die Neural Portfolio Dashboard-App hilft Anlegern, ihr Portfolio zu analysieren und zu verwalten. Sie bietet Funktionen zur Aktienanalyse, CSV-Import/Export sowie KI-gestützte Signale und Performance-Trends.",
            "elevator_pitch": "Ein KI-gestütztes Dashboard zur Verwaltung und Analyse von Portfolios.",
            "target_audience": "Investoren und Finanzanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural-depot/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0241",
            "title": "neural2indexfintech — AI-gestützte Handelsplattform",
            "project": "neural2indexfintech",
            "category": "Domvs-Avrea/AI-Handelsplattform",
            "cluster": "Domvs-Avrea/AI-Handelsplattform",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome 6.4.0",
              "Google Fonts Inter",
              "Orbitron"
            ],
            "tags": [
              "AI-Handelsplattform",
              "Finanztools",
              "Marktanalyse",
              "Investoren",
              "Händler"
            ],
            "status": "prototype",
            "overview": "DOMVS AVREA ist eine AI-gestützte Handelsplattform, die fortschrittliche Finanztools und Marktanalysen für erfahrene Investoren und Händler bietet.",
            "elevator_pitch": "Eine umfassende Plattform für den Handel mit AI-gestützten Tools.",
            "target_audience": "Erfahrene Investoren und Händler.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural2indexfintech/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0242",
            "title": "neuralglobaltools — KI-gestützte Handelsplattform für globale Märkte",
            "project": "neuralglobaltools",
            "category": "GlobalFintech",
            "cluster": "GlobalFintech",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bulma CSS",
              "Font Awesome 6.0.0",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "ai-trading-platform",
              "market-analysis",
              "cryptocurrency-analysis",
              "fibonacci-analysis"
            ],
            "status": "prototype",
            "overview": "Die Plattform bietet fortschrittliche Analysewerkzeuge für globale Märkte, einschließlich Marktinformationen, Kryptowährungsanalyse und Fibonacci-Analyse. Die Benutzeroberfläche ist modern und nutzt eine ansprechende Gestaltung.",
            "elevator_pitch": "Eine KI-gestützte Plattform für umfassende Marktanalysen.",
            "target_audience": "Trader und Investoren, die auf der Suche nach präzisen Marktanalysen sind.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neuralglobaltools/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0243",
            "title": "neuralxetra — Professionelles Auktions-Dashboard für die XETRA-Börse",
            "project": "neuralxetra",
            "category": "XETRA-NFT-Auktionen",
            "cluster": "XETRA-NFT-Auktionen",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "XETRA",
              "NFT",
              "Auktionen",
              "Live-Trading",
              "Finanzdashboard"
            ],
            "status": "prototype",
            "overview": "Das Projekt ist ein interaktives Dashboard, das Echtzeit-Daten für NFT-Auktionen und Live-Trading auf der XETRA-Börse bereitstellt. Es bietet eine benutzerfreundliche Oberfläche zur Verwaltung und Anzeige von Auktionen.",
            "elevator_pitch": "Ein umfassendes Dashboard für NFT-Auktionen und Live-Trading auf der XETRA-Börse.",
            "target_audience": "Trader und Investoren im NFT- und Kryptowährungsbereich.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neuralxetra/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0244",
            "title": "omerga-desktop — OMEGA Windows Trading Hub",
            "project": "omerga-desktop",
            "category": "Domvs-Avrea/Trading-Hub",
            "cluster": "Domvs-Avrea/Trading-Hub",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript"
            ],
            "tags": [
              "trading-hub",
              "trading-tools",
              "web-app"
            ],
            "status": "prototype",
            "overview": "Die OMEGA Windows App ist ein Trading-Hub, das verschiedene Trading-Tools und -Anwendungen anbietet. Die App enthält eine Liste von Tools, die über Icons und Links zugänglich sind.",
            "elevator_pitch": "Ein zentraler Ort für Trader, um auf verschiedene Trading-Tools zuzugreifen.",
            "target_audience": "Trader und Investoren.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/omerga-desktop/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0245",
            "title": "server5testeod4 — EOD Financial Terminal",
            "project": "server5testeod4",
            "category": "EOD Financial Tools",
            "cluster": "EOD Financial Tools",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Chart.js"
            ],
            "tags": [
              "finanzterminal",
              "aktienkurse",
              "historische daten",
              "finanznachrichten"
            ],
            "status": "prototype",
            "overview": "Das EOD Financial Terminal ist eine interaktive Webanwendung, die Echtzeit-Aktienkurse, historische Daten und Finanznachrichten für Investoren und Finanzanalysten bereitstellt.",
            "elevator_pitch": "Ein umfassendes Tool für Investoren, um aktuelle und historische Finanzdaten zu analysieren.",
            "target_audience": "Investoren, Finanzanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/server5testeod4/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0246",
            "title": "top-funds-terminal — Übersicht über aktiv gemanagte Fonds",
            "project": "top-funds-terminal",
            "category": "Fonds-Management-Tools",
            "cluster": "Fonds-Management-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "JavaScript"
            ],
            "tags": [
              "aktive Fonds",
              "Filter",
              "Ticker",
              "Technologie",
              "Global",
              "Emerging Markets"
            ],
            "status": "prototype",
            "overview": "Die App zeigt eine Liste von aktiv gemanagten Fonds ohne ETFs, mit einem Fokus auf Technologie, Global und Emerging Markets. Nutzer können Fonds nach Kategorien filtern und Ticker kopieren.",
            "elevator_pitch": "Eine umfassende Übersicht über aktiv gemanagte Fonds, ideal für Investoren.",
            "target_audience": "Investoren, die spezifische Fonds analysieren und vergleichen möchten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/top-funds-terminal/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0247",
            "title": "vaulty-v5 — KI-gestützte Budget-App",
            "project": "vaulty-v5-2",
            "category": "DVAG Finanzmanagement",
            "cluster": "DVAG Finanzmanagement",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "budgeting",
              "KI",
              "DVAG",
              "financial planning",
              "income",
              "expenses"
            ],
            "status": "prototype",
            "overview": "Vaulty ist eine KI-gestützte Budget-App, die Nutzern hilft, ihr Einkommen und Ausgaben zu verwalten. Sie basiert auf der DVAG Allfinanz-Logik und bietet eine 30-30-30-10-Regel zur Finanzplanung.",
            "elevator_pitch": "Eine intelligente Lösung zur Verwaltung von Finanzen und zur Simulation von Sparstrategien.",
            "target_audience": "Personen, die ihre Finanzen besser organisieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/vaulty-v5-2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0248",
            "title": "weitere-generali-dvag-versicherungen — Übersicht über Generali/DVAG Versicherungen",
            "project": "weitere-generali-dvag-versicherungen",
            "category": "DVAG-Versicherungen",
            "cluster": "DVAG-Versicherungen",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre.css"
            ],
            "tags": [
              "versicherungen",
              "DVAG",
              "Fahrzeugversicherung",
              "Altersvorsorge",
              "Rechtsschutz"
            ],
            "status": "prototype",
            "overview": "Die Seite bietet eine vollständige Übersicht über weitere Generali/DVAG Versicherungen, darunter Fahrzeug-, Altersvorsorge- und Rechtsschutzprodukte. Es gibt eine Tab-Navigation, die es den Nutzern ermöglicht, zwischen verschiedenen Versicherungsarten zu wechseln.",
            "elevator_pitch": "Eine zentrale Anlaufstelle für Informationen zu Generali/DVAG Versicherungen.",
            "target_audience": "Personen, die sich für Versicherungsprodukte interessieren.",
            "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/weitere-generali-dvag-versicherungen/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0249",
            "title": "cd5 — Enhanced Financial Dashboard / \"World Wide Market InformerAI\" (CD5)",
            "project": "cd5",
            "category": "Domusaurea-Fintech-Portal-Familie",
            "cluster": "Domusaurea-Fintech-Portal-Familie",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.0 CDN",
              "Chart.js CDN",
              "Vanilla JS",
              "Fetch API",
              "eodhistoricaldata.com"
            ],
            "tags": [
              "fintech",
              "dashboard",
              "hub",
              "stock-search",
              "chart.js",
              "eodhd"
            ],
            "status": "prototype",
            "overview": "Eine Bootstrap-Seite mit dem Namen \"Enhanced Financial Dashboard\" (Navbar-Brand: \"World Wide Market InformerAI\"): eine Suchleiste fuer ein beliebiges Aktien-Symbol, die per EOD Historical Data API Kursdaten laedt und in drei Chart.js-Liniendiagrammen (1 Jahr/1 Monat/1 Woche) sowie einem Kennzahlenblock (aktueller Kurs, Open/High/Low, Volumen, 52-Wochen-Hoch/Tief) darstellt. Die grosse Navbar mit verschachtelten Dropdowns verlinkt auf ca. 13 weitere externe domusaurea.tech-Tools.",
            "elevator_pitch": "Ein Einstiegs-Dashboard/Portal, das Aktien-Charting mit einer Sammlung von Links zu weiteren Fintech-Spezialtools (Fibonacci-Rechner, News, Yahoo-Finance-Ableger, Echtzeit-Indikatoren) kombiniert.",
            "target_audience": "Privatanleger, die einen zentralen Einstiegspunkt in das \"Domusaurea\"-Fintech-Oekosystem suchen.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/cd5/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0250",
            "title": "claude12index4 — DOMVS AVREA AI Trading Hub (CLAUDE12index4)",
            "project": "claude12index4",
            "category": "CLAUDE12-Terminal-Familie (Domvs Avrea AI Trading Hub)",
            "cluster": "CLAUDE12-Terminal-Familie (Domvs Avrea AI Trading Hub)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron/Inter",
              "Font Awesome 6.4.0",
              "kein Build-Prozess"
            ],
            "tags": [
              "fintech",
              "dashboard",
              "hub",
              "index-page",
              "multi-tool",
              "trading-tools-verzeichnis"
            ],
            "status": "prototype",
            "overview": "Eine grosse (1410+ Zeilen) dunkel gestaltete Hub-Seite unter dem Titel \"DOMVS AVREA - AI Trading Hub\": Hero-Bereich \"AI-Powered Trading Ecosystem\", darunter fuenf Sektionen (Platforms, Analysis Tools, Trading Tools, Specialized, Premium), die jeweils Karten mit Kurzbeschreibung und Link zu einer externen `domusaurea.tech/CLAUDE12*.html`-Unterseite zeigen.",
            "elevator_pitch": "Ein kuratiertes Verzeichnis von KI-gestuetzten Trading-/Analyse-Tools unter einer gemeinsamen Marke (\"CLAUDE12\"), praesentiert als \"Oekosystem\" statt als Einzelprodukt.",
            "target_audience": "Trader/Anleger, die verschiedene spezialisierte Analyse-Ansaetze (SMA, RSI-aehnliche Peak/Valley-Signale, Trendanalyse) ausprobieren wollen.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/claude12index4/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0251",
            "title": "dvag-daniel-dvagos — DVAG Finanzberater Portal",
            "project": "dvag-daniel-dvagos",
            "category": "CelestiaOS/DVAG-Finanzberatung",
            "cluster": "CelestiaOS/DVAG-Finanzberatung",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Font Awesome 6.0.0",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "finanzberatung",
              "celestiaos",
              "zugriffsmanagement",
              "beratungstools"
            ],
            "status": "prototype",
            "overview": "Das DVAG Finanzberater Portal bietet eine benutzerfreundliche Oberfläche für Finanzberater, um auf verschiedene Tools und Ressourcen zuzugreifen. Es nutzt ein modernes Design mit responsiven Elementen und einer klaren Struktur.",
            "elevator_pitch": "Ein zentrales Portal für Finanzberater zur Verwaltung von Ressourcen und Tools.",
            "target_audience": "Finanzberater und deren Kunden.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/dvag-daniel-dvagos/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0252",
            "title": "finindex — FinTech Dashboard (Domvs Avrea O.P.N, FINindex)",
            "project": "finindex",
            "category": "Domvs-Avrea-O.P.N-Fintech-Portal-Familie",
            "cluster": "Domvs-Avrea-O.P.N-Fintech-Portal-Familie",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bulma 0.9.3 CDN",
              "Font Awesome 6.0",
              "Vanilla JS",
              "Iframe-Embedding"
            ],
            "tags": [
              "fintech",
              "dashboard",
              "hub",
              "iframe-sammlung",
              "chatbot-widget",
              "gamma-site-links"
            ],
            "status": "prototype",
            "overview": "Eine Bulma-basierte Portalseite fuer \"Domvs Avrea O.P.N GmbH\": Navbar mit Dropdown-/Direktlinks zu ueber einem Dutzend Fintech-Tools (Major, Broker, GPT, AIFunds, InvestAI, PeakAI, TradeAI, InformAI, AICalc, AINews, AIBonds, AIOptions, LexikonAI, Game, eBook), eine ausklappbare Sidebar mit 19 gamma.site-Praesentationslinks (Marketing-/Pitch-Microsites), ein schwebendes Chat-Icon, das ein Iframe von `FINTECHbot.html` als Popup oeffnet, und eine grossflaechige Iframe-Einbettung einer gamma.site-Seite im Hauptbereich.",
            "elevator_pitch": "Ein zentrales \"Startportal\" fuer das gesamte Domvs-Avrea-Fintech-Oekosystem — Navigation zu Trading-Tools, KI-Chatbots und Marketing-Microsites an einem Ort.",
            "target_audience": "Besucher, die einen Ueberblick ueber das gesamte Domvs-Avrea-/Domusaurea-Angebot suchen.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/finindex/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0253",
            "title": "fintechapp — GlobalFinTech.net FinTech AI (Matrix-Theme-Portal)",
            "project": "fintechapp",
            "category": "GlobalFinTech.net-Portal-Familie",
            "cluster": "GlobalFinTech.net-Portal-Familie",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron",
              "Font Awesome 6.4.0",
              "Iframe-Embedding"
            ],
            "tags": [
              "fintech",
              "dashboard",
              "hub",
              "matrix-theme",
              "desktop-icon-launcher",
              "gamma-site-links"
            ],
            "status": "prototype",
            "overview": "Eine \"GlobalFinTech.net\"-Portalseite im Matrix-Grün-Theme (Hintergrundbild: animiertes \"Matrix Raining Code\"-GIF von Wikimedia): Logo+Ueberschrift \"FinTech AI\", ein Burger-Menue oeffnet eine Sidebar mit gamma.site-Praesentationslinks, der Hauptbereich zeigt ein Grid aus \"Desktop-Icons\" (Windows-Desktop-Metapher), die zu weiteren domusaurea.tech/globalfintech.net-Tools fuehren (ChatGPT-Custom-GPT, DANIEL1, DEEP1, FINTECHbot, BROKER-Serie, SMOOTH2, FINapp, FINTECHmensis, FINTECHindex3, CD5, NEWSboy, WIKIfintech3, AKTIENGAME1, FINTECHquiz, ZINSEN2, PROFIT1).",
            "elevator_pitch": "Ein \"Matrix\"-thematisiertes Desktop-Icon-Portal fuer das GlobalFinTech.net/Domvs-Avrea-Tool-Portfolio — eine alternative Domain/Markenvariante zum `finindex`-Portal.",
            "target_audience": "Besucher von globalfintech.net, die einen visuell auffaelligen Einstieg in dieselbe Tool-Sammlung wie bei `finindex`/`fintechadsbot3` suchen.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/fintechapp/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0254",
            "title": "genitus-globalfintech — Erweiterte Finanz-Dashboard-Anwendung",
            "project": "genitus-globalfintech",
            "category": "Domus-Aurea/Finanz-Dashboard",
            "cluster": "Domus-Aurea/Finanz-Dashboard",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.0",
              "Chart.js"
            ],
            "tags": [
              "finanz-dashboard",
              "investoren",
              "analysen",
              "charts",
              "forex",
              "kryptowaehrungen"
            ],
            "status": "prototype",
            "overview": "Die Webapp bietet ein erweitertes Finanz-Dashboard für Investoren und Finanzanalysten, das Echtzeit-Daten, Charts und Analysetools für Aktien, Indizes, Kryptowährungen und Forex bereitstellt.",
            "elevator_pitch": "Ein umfassendes Dashboard für Finanzanalysen und Markttrends.",
            "target_audience": "Investoren, Finanzanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/genitus-globalfintech/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0255",
            "title": "genitus-trading — Le MARCHÉ AI Landingpage & App-Index",
            "project": "genitus-trading",
            "category": "Genitus/Le-MARCHÉ-Oekosystem",
            "cluster": "Genitus/Le-MARCHÉ-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron/Roboto Condensed",
              "Material Icons",
              "Shepherd.js Onboarding-Tour"
            ],
            "tags": [
              "hub-portal",
              "landingpage",
              "fintech-index",
              "genitus",
              "le-marche",
              "guided-tour"
            ],
            "status": "production-ready",
            "overview": "Landingpage von \"Genitus Inc.\" (CEO Daniel Gereci) für die Marke \"Le MARCHÉ AI\": Hero-Bereich mit zwei Kartenspalten (\"Professional Trading Suite\" und \"AI-Powered Trading Solutions\") voller CTA-Buttons zu externen Replit-/domusaurea.tech-Apps, gefolgt von einer ausführlichen \"Discover Our Trading Apps\"-Sektion mit 14 Karten (je App: Titel, Beschreibung, 2-3 Feature-Chips, eigener CTA), Testimonial-Karussell, YouTube-Embed und Kontaktformular (mailto).",
            "elevator_pitch": "Eine zentrale Schaufenster-Seite, die das komplette Genitus/Le-MARCHÉ-Trading-Portfolio (16 Einzel-Apps) an einem Ort präsentiert und bewirbt.",
            "target_audience": "Interessenten/Trader, die über eine Suchmaschine oder Werbung auf die Marke stossen und dann zu einer der Einzel-Apps weitergeleitet werden sollen.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/genitus-trading/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0256",
            "title": "genitus-trading-premium — LeMarché AI Trading Hub (Sidebar-Dashboard)",
            "project": "genitus-trading-premium",
            "category": "Genitus/Le-MARCHÉ-Oekosystem",
            "cluster": "Genitus/Le-MARCHÉ-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Font Awesome 6.4.0 CDN",
              "Iframe-App-Switcher"
            ],
            "tags": [
              "hub-portal",
              "sidebar-dashboard",
              "iframe-switcher",
              "fintech-index",
              "genitus"
            ],
            "status": "production-ready",
            "overview": "Ein-Datei-Dashboard mit einklappbarer Sidebar (\"LeMarché\", 3 Kategorien: AI Intelligence, Markets, Advanced) und Hauptbereich mit Iframe, das die jeweils angeklickte externe App lädt. Vollständig responsive (Overlay-Sidebar auf Mobile), Standard-App beim Laden ist \"LeGraph\" (candlestick-analyzer.replit.app).",
            "elevator_pitch": "Ein einziges Cockpit, um zwischen neun spezialisierten KI-Trading-Apps zu wechseln, ohne Tabs/Lesezeichen jonglieren zu müssen.",
            "target_audience": "Power-User des Genitus-Ökosystems, die mehrere der Einzel-Apps parallel nutzen.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/genitus-trading-premium/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0257",
            "title": "genuss-index-2 — XETRA Genussschein Dokumenten- & Tool-Portal",
            "project": "genuss-index-2",
            "category": "Domvs-Avrea/Genussschein-Oekosystem",
            "cluster": "Domvs-Avrea/Genussschein-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Font Awesome 6.4.0",
              "Google Fonts Orbitron/Rajdhani/JetBrains Mono/Inter"
            ],
            "tags": [
              "document-index",
              "hub-portal",
              "genussschein",
              "compliance",
              "xetra",
              "domvs-avrea"
            ],
            "status": "production-ready",
            "overview": "Portal-Seite (\"DOMVS.AVREA Genussschein Portal\", Domain-Badge `XETRA.replit.app`) mit Stat-Leiste (7 Dokumente/Tools, 2 Emittenten, DE/EN, §221 AktG, 5 Jahre Laufzeit) und vier thematischen Kartensektionen: Prospekte & Verkaufsunterlagen, Vertragsdokumente & Urkunden, Performance & Marktdaten, Simulatoren & Demo-Tools, sowie eine fünfte Sektion \"XETRA Platform\" mit weiteren Handels-Demos.",
            "elevator_pitch": "Ein zentrales, professionell gestaltetes Dokumenten-Cockpit für alle Genussschein-Produkte von \"Domvs Avrea O.P.N GmbH\" und \"Genitus Inc.\" — von Prospekt bis Handelssimulation an einem Ort.",
            "target_audience": "Qualifizierte/akkreditierte Investoren, die sich über Genussscheine informieren und Vertragsunterlagen einsehen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/genuss-index-2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0258",
            "title": "genussindex — Genussschein Management Index (einfache Variante)",
            "project": "genussindex",
            "category": "Domvs-Avrea/Genussschein-Oekosystem",
            "cluster": "Domvs-Avrea/Genussschein-Oekosystem",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN",
              "Font Awesome 5.15.1",
              "Google Fonts Open Sans"
            ],
            "tags": [
              "document-index",
              "genussschein",
              "tailwind",
              "simple-hub"
            ],
            "status": "prototype",
            "overview": "Kurze (76 Zeilen) Tailwind-basierte Seite mit dunklem Grid aus sechs Karten, jede mit 1-2 Links zu externen Genussschein-Dokumenten/Tools auf `domusaurea.tech` und einer kurzen Beschreibung. Deutlich schlichter als die spätere Variante `genuss-index-2` (keine Stat-Leiste, keine Badges, keine Sektionierung nach Dokumententyp).",
            "elevator_pitch": "Ein einfacher, funktionaler Einstiegspunkt zu den Genussschein-Dokumenten und -Tools, bevor daraus das ausführlichere `genuss-index-2`-Portal wurde.",
            "target_audience": "Investoren/Interessenten, die schnellen Zugriff auf Prospekt, Vertrag, Rechner und Handelsplattform brauchen.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/genussindex/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0259",
            "title": "investment2 — Finanz Dashboard (AINVEST)",
            "project": "investment2",
            "category": "Domusaurea Finanz-Dashboard-Familie",
            "cluster": "Domusaurea Finanz-Dashboard-Familie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.1 CDN",
              "Vanilla JS",
              "IntersectionObserver",
              "Iframe-Embedding"
            ],
            "tags": [
              "fintech",
              "dashboard",
              "index-bundle",
              "lazy-iframe",
              "crypto",
              "dax",
              "dow",
              "nasdaq"
            ],
            "status": "prototype",
            "overview": "Sehr kompakte Sammelseite (63 Zeilen, `<title>Finanz Dashboard</title>`): neun `<div>`-Container mit `data-src`-Attribut laden per `IntersectionObserver` beim Scrollen jeweils eine externe domusaurea.tech-Unterseite als 1000px-hohes iFrame — praktisch ein vertikal gestapeltes Finanz-Dashboard-Bundle ohne eigene Logik.",
            "elevator_pitch": "Eine einzige Scroll-Seite, die neun verschiedene Finanz-Indizes/Dashboards (Krypto, DAX, DOW, NASDAQ, Broker) nacheinander lädt — Lazy-Loading spart Ladezeit, bis der Nutzer tatsächlich scrollt.",
            "target_audience": "Nutzer, die einen schnellen Sammel-Überblick über mehrere Marktsegmente wollen, ohne einzelne Seiten manuell aufzurufen.",
            "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/investment2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0260",
            "title": "adrienn1 — Teen Finance: MVP UI (Tabs)",
            "project": "adrienn1",
            "category": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
            "cluster": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5 CDN",
              "Bootstrap Icons",
              "Google Fonts Orbitron",
              "Vanilla JS"
            ],
            "tags": [
              "fintech",
              "teen-finance",
              "mobile-mockup",
              "phone-frame",
              "gamification",
              "pitch-asset"
            ],
            "status": "prototype",
            "overview": "Statisches Phone-Frame-Mockup (390px Handyrahmen) einer fiktiven Finanz-App \"Teen Finance\" fuer Jugendliche. Zeigt einen Tab (\"Home\") mit Wallet-Guthaben, Sparziel-Fortschrittsbalken, Budget-Vorschau (Food & Snacks, Gaming) und einem Lernpfad-Teaser. Reine UI-Demo mit statischen Werten — keine Interaktivitaet ausser Tab-Struktur im Markup. Vermutlich ein Pitchdeck-Illustrationsscreen fuer das Investorenpaket.",
            "elevator_pitch": "Ein Gen-Z-Money-App-Konzept (\"Teen Finance\") mit Gamification (Level, XP, Sparziele) statt trockenem Banking-UI — ein Baustein im groesseren ADRIENN5-Investorenpaket.",
            "target_audience": "Investoren/Partner als Pitch-Publikum (siehe Businessplan/Compliance/Marketing-Dokumente in `adrienn5-index1`), nicht direkt Endnutzer.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/adrienn1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0261",
            "title": "adrienn12 — Teen Finance: AI Money Coach App",
            "project": "adrienn12",
            "category": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
            "cluster": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5 CDN",
              "Bootstrap Icons",
              "Chart.js CDN",
              "Google Fonts Orbitron",
              "Vanilla JS",
              "Fetch API",
              "externer AI-Proxy"
            ],
            "tags": [
              "fintech",
              "teen-finance",
              "ai-chatbot",
              "gamification",
              "budget-tracker",
              "pitch-asset"
            ],
            "status": "prototype",
            "overview": "Deutlich vollstaendigere Version der Teen-Finance-App (2811 Zeilen) mit 7 funktionsfaehigen Tabs: Home, Budget-Manager (mit Chart.js-Diagramm Fixed vs. Variable), AI Money Coach (Chat-Interface), Lernpfad (3 Level mit Lektionen), E-Book-Reader, Sparziele-Verwaltung, Einstellungen (inkl. Eltern-Zugang-Code, Feedback mit Sternebewertung).",
            "elevator_pitch": "\"Teen Finance\" — eine gamifizierte Finanz-App fuer Jugendliche mit echtem KI-Chat-Coach statt trockener Budget-Tabellen.",
            "target_audience": "Eltern & Teenager als Endnutzer; Investoren/Partner als Pitch-Publikum (siehe Businessplan/Compliance/Marketing-Dokumente in `adrienn5-index1`).",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/adrienn12/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0262",
            "title": "adrienn5-index1 — Teen Finance: Asset Index",
            "project": "adrienn5-index1",
            "category": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
            "cluster": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Font Awesome CDN",
              "Google Fonts",
              "Vanilla CSS Grid"
            ],
            "tags": [
              "hub-page",
              "asset-index",
              "pitch-deck",
              "teen-finance",
              "fintech-package"
            ],
            "status": "production-ready",
            "overview": "Eine reine **Hub-/Index-Seite**, die alle Assets des \"Teen Finance\"-Investoren-Pakets (ADRIENN5-Serie) auflistet und verlinkt: HTML-Prototypen, Pitchdecks, PDFs, Business-Dokumente. Kein eigener funktionaler Code — dient als Navigations-Uebersicht/Sitemap fuer das gesamte Paket.",
            "elevator_pitch": "Die \"Inhaltsverzeichnis\"-Seite eines kompletten Investoren-Pakets fuer die Teen-Finance-App-Idee — ein Klick-Zugang zu App-Mockups, Pitchdeck, Businessplan, Compliance-Doku, Marketing-Plan und PDFs.",
            "target_audience": "Investoren, Partner, oder der Autor selbst zur Uebersicht ueber das eigene Projektpaket.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/adrienn5-index1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0263",
            "title": "aktio-kratie — Manifest einer Staats-AG",
            "project": "aktio-kratie-claude-code",
            "category": "Domvs-Avrea/Politik-Manifest",
            "cluster": "Domvs-Avrea/Politik-Manifest",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "JavaScript"
            ],
            "tags": [
              "manifest",
              "staats-ag",
              "demokratie",
              "politik",
              "gesellschaft"
            ],
            "status": "prototype",
            "overview": "Die Seite präsentiert ein Manifest für eine Staats-AG, in dem Bürger als Eigentümer und die Wirtschaft als Betriebssystem betrachtet werden. Es wird eine kritische Analyse des modernen Staates vorgenommen.",
            "elevator_pitch": "Ein innovatives Konzept für eine Staats-AG, das Bürgerbeteiligung und wirtschaftliche Verantwortung vereint.",
            "target_audience": "Politisch Interessierte, Bürger, die an neuen Staatsformen interessiert sind.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/aktio-kratie-claude-code/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0264",
            "title": "big-fish-convo — KIDZ Ultimate Guide zur DVAG Verkaufsstrategie",
            "project": "big-fish-convo",
            "category": "DVAG-Verkaufsstrategie",
            "cluster": "DVAG-Verkaufsstrategie",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Materialize CSS",
              "Google Fonts"
            ],
            "tags": [
              "verkaufsstrategie",
              "dvag",
              "familienprodukte",
              "provisionsoptimierung"
            ],
            "status": "prototype",
            "overview": "Die Seite bietet eine umfassende Verkaufsstrategie für DVAG-Produkte, fokussiert auf niedriges Storno-Risiko und hohe Provisionen. Sie ist für Verkäufer von Familienprodukten konzipiert.",
            "elevator_pitch": "Umfassende Verkaufsstrategie für DVAG-Produkte.",
            "target_audience": "Verkäufer im Bereich Familienprodukte.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/big-fish-convo/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0265",
            "title": "blockchain-investment — Blockchain Investment Guide (Professionelle Vermoegensberatung)",
            "project": "blockchain-investment",
            "category": "unbekannt (Blockchain-Advisory-Einzelstueck)",
            "cluster": "unbekannt (Blockchain-Advisory-Einzelstueck)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2 CDN",
              "Font Awesome 6.4.0",
              "Google Fonts Playfair Display/Work Sans",
              "Vanilla CSS",
              "keine JS-Interaktivitaet"
            ],
            "tags": [
              "fintech",
              "crypto",
              "advisory",
              "strategy-paper",
              "portfolio-modell",
              "no-js"
            ],
            "status": "static-content",
            "overview": "Eine lange (>1900 Zeilen), rein statische Landingpage einer fiktiven \"professionellen Blockchain-Vermoegensberatung\": Investment-Philosophie, ein dreistufiges Portfolio-Modell (Core/Growth/Speculative), eine Asset-Kategorisierungstabelle (Layer 0/1, Infrastruktur, Speculative), Boersen-Uebersicht (CEX vs. DEX), vorgefertigte Mandanten-Portfolios (Konservativ/Ausgewogen/…) und eine FAQ-Sektion. Keine Berechnungslogik, keine Backend-/API-Anbindung — reiner Content.",
            "elevator_pitch": "Eine editoriale \"Beratungsseite\" fuer Blockchain-/Krypto-Vermoegensverwaltung mit fertigen Portfolio-Allokationsmodellen statt eines interaktiven Tools.",
            "target_audience": "Institutionelle und private Anleger als Leser; vermutlich als Marketing-/Pitch-Asset fuer eine (fiktive) Vermoegensberatung gedacht.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/blockchain-investment/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0266",
            "title": "dvag-kundenpraesi-25-slides — DVAG Produktpräsentation",
            "project": "dvag-kundenpraesi-25-slides",
            "category": "DVAG Produktpräsentation",
            "cluster": "DVAG Produktpräsentation",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome 6.5.1"
            ],
            "tags": [
              "Vermögenssicherung",
              "VSP",
              "Altersvorsorge",
              "Präsentation",
              "DVAG"
            ],
            "status": "prototype",
            "overview": "Die DVAG Produktpräsentation zeigt die Vorteile der Vermögenssicherungspolice (VSP) und Altersvorsorge für Kunden auf, mit Fokus auf maximale Schutzoptionen und Rabatte bei Kombinationen.",
            "elevator_pitch": "Eine umfassende Präsentation zur Vermögenssicherung und Altersvorsorge.",
            "target_audience": "Kunden der DVAG und Interessierte an Versicherungsprodukten.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/dvag-kundenpraesi-25-slides/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0267",
            "title": "DVAGscript — DVAG-SALES-script1",
            "project": "dvag-sales-script1",
            "category": "DVAG-Vertrieb",
            "cluster": "DVAG-Vertrieb",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.0",
              "CSS"
            ],
            "tags": [
              "finanzprodukte",
              "verkaufsstrategien",
              "dvag",
              "vermögensberatung"
            ],
            "status": "prototype",
            "overview": "Die DVAG Sales Script-Webapp bietet eine strukturierte Anleitung für den Verkauf von Finanzprodukten, mit Fokus auf Vermögensaufbau und Absicherung. Sie ist für DVAG-Vertreter gedacht, die ihre Verkaufsstrategien und -techniken verbessern möchten.",
            "elevator_pitch": "Eine umfassende Anleitung für DVAG-Vertreter zur Verbesserung ihrer Verkaufsstrategien.",
            "target_audience": "DVAG-Vertreter und Finanzberater.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/dvag-sales-script1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0268",
            "title": "expose — Exposé für ein KI-Webinar zur Webentwicklung",
            "project": "expose",
            "category": "Domvs-Avrea/KI-Webinar",
            "cluster": "Domvs-Avrea/KI-Webinar",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "JavaScript"
            ],
            "tags": [
              "webentwicklung",
              "ki",
              "html",
              "css",
              "javascript",
              "portfolio",
              "zertifikat"
            ],
            "status": "prototype",
            "overview": "Die Webseite bietet ein Exposé für ein KI-gestütztes Webinar, das Arbeitsuchende, Quereinsteiger und Selbstständige in die Webentwicklung einführt. Der Kurs umfasst HTML, CSS und JavaScript, ein Portfolio-Projekt und ein Zertifikat.",
            "elevator_pitch": "Kompakter Online-Kurs zur Webentwicklung mit KI-Unterstützung.",
            "target_audience": "Arbeitsuchende, Quereinsteiger, Selbstständige.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/expose/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0269",
            "title": "TheLEAD — GEMINI-genius-mistral-LEADS2",
            "project": "gemini-genius-mistral-leads2",
            "category": "Domvs-Avrea/Lead Management Ecosystem",
            "cluster": "Domvs-Avrea/Lead Management Ecosystem",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "keine JS-Logik"
            ],
            "tags": [
              "lead-manager",
              "crm",
              "datenexport",
              "business-intelligence"
            ],
            "status": "prototype",
            "overview": "Die Lead Manager-App zeigt 6001 Leads an und ermöglicht das Filtern nach verschiedenen Kriterien sowie den Export von Daten als CSV oder JSON. Sie ist als statische HTML-Seite umgesetzt.",
            "elevator_pitch": "Ein leistungsstarkes Tool zur Verwaltung und Analyse von Leads.",
            "target_audience": "Vertriebs- und Marketingteams.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/gemini-genius-mistral-leads2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0270",
            "title": "generali-allfinanz-verkaufssystem-komplett — Allfinanz-Verkaufssystem für DVAG-Berater",
            "project": "generali-allfinanz-verkaufssystem-komplett",
            "category": "DVAG-Allfinanz-System",
            "cluster": "DVAG-Allfinanz-System",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Materialize CSS",
              "Google Fonts"
            ],
            "tags": [
              "DVAG",
              "Allfinanz",
              "Sachversicherungen",
              "Beratung",
              "Bedarfsanalyse"
            ],
            "status": "prototype",
            "overview": "Das Allfinanz-Verkaufssystem für DVAG-Berater bietet ein umfassendes Konzept für Sachversicherungen, einschließlich persönlicher Betreuung und Bedarfsanalyse.",
            "elevator_pitch": "Ein durchdachtes Gesamtkonzept für Sachversicherungen, das DVAG-Beratern hilft, ihre Kunden optimal zu betreuen.",
            "target_audience": "DVAG-Berater und deren Kunden.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/generali-allfinanz-verkaufssystem-komplett/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0271",
            "title": "genitus-bonds6 — Genitus Inc. AI Profit Participation Certificates",
            "project": "genitus-bonds6",
            "category": "Genitus-Investorenunterlagen (Certificate/Genussschein-Familie)",
            "cluster": "Genitus-Investorenunterlagen (Certificate/Genussschein-Familie)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Chart.js",
              "Google Fonts Orbitron/Rajdhani/JetBrains Mono",
              "Font Awesome"
            ],
            "tags": [
              "pitch-deck",
              "investor-relations",
              "profit-participation-certificate",
              "genitus",
              "finance-marketing"
            ],
            "status": "prototype",
            "overview": "Cyberpunk-glasige Landingpage fuer \"Genitus Inc. — AI Profit Innovation\": bewirbt algorithmus-gesteuerte Gewinnbeteiligungszertifikate mit garantierter Mindestrendite (+4,5% p.a.), Zielrendite +18,9% p.a. und institutionell anmutender Risikostruktur. Vollstaendige Investment-Terms-Tabelle (ISIN, Serie, Mindestanlage, Laufzeit, Gebuehren), Track-Record-Sektion, Risk-Framework, Team-Karten und Investor-Relations-CTA am Ende.",
            "elevator_pitch": "\"Algorithm-Driven Profit Participation Certificates\" — KI-gesteuerte Gewinnbeteiligung mit garantiertem Floor und quartalsweiser Ausschuettung, verpackt als institutionelles Delaware-C-Corp-Produkt.",
            "target_audience": "Akkreditierte Investoren (explizit \"Eligible Investors: Accredited only\", Reg-D 506(c)) mit Mindestanlage von 1 Mio. EUR.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/genitus-bonds6/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0272",
            "title": "genitus-consulting — Domvs Avrea O.P.N: AI Technology Consulting",
            "project": "genitus-consulting",
            "category": "Domvs-Avrea-O.P.N-Unternehmensauftritt",
            "cluster": "Domvs-Avrea-O.P.N-Unternehmensauftritt",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CDN",
              "Google Fonts Montserrat",
              "Vanilla JS"
            ],
            "tags": [
              "consulting",
              "ai-agency",
              "company-website",
              "portfolio",
              "blog",
              "contact-form"
            ],
            "status": "prototype",
            "overview": "Klassische Mehrseiten-Onepager-Firmenwebsite fuer \"Domvs Avrea O.P.N\" mit dem Slogan \"AI Technology Consulting\". Enthaelt Hero-Sektion, Expertise-Grid (AI Solutions Development, Chatbot Development, Data Analytics, Custom AI Integration), Zielgruppen-Kacheln (Start-ups/SMEs/Enterprise), Portfolio-Sektion (2 Projekte), Blog-Sektion (3 Artikel) und ein Kontaktformular mit separater Kontakt-Info-Karte.",
            "elevator_pitch": "\"Domvs Avrea O.P.N — premier provider of advanced artificial intelligence solutions\" fuer Business-Transformation und Wachstum.",
            "target_audience": "Unternehmen (Start-ups bis Enterprise), die AI-Consulting/Chatbot-Entwicklung/Data-Analytics-Dienstleistungen einkaufen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/genitus-consulting/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0273",
            "title": "genitus-marc9schein3 — Genussschein-Zertifikat Domvs Avrea O.P.N GmbH",
            "project": "genitus-marc9schein3",
            "category": "Domvs-Avrea-O.P.N-Investorenunterlagen (Genussschein-Familie)",
            "cluster": "Domvs-Avrea-O.P.N-Investorenunterlagen (Genussschein-Familie)",
            "tier": "3",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "genussschein",
              "certificate",
              "legal-document",
              "investor-relations",
              "domvs-avrea"
            ],
            "status": "prototype",
            "overview": "Ein einzelnes, statisches \"Zertifikat\" im Urkunden-Look (goldener Doppelrahmen auf schwarzem Hintergrund): Genussschein der \"Domvs Avrea O.P.N GmbH\" mit Nennwert EUR 1.000, Emissionsbedingungen nach §221 AktG, variablem erfolgsabhaengigem Zinssatz, 5 Jahren Laufzeit (automatische Verlaengerung um weitere 5 Jahre) und ausfuehrlichen Risikohinweisen.",
            "elevator_pitch": "Ein formal gestaltetes Genussschein-Zertifikat als Investoren-/Mitarbeiterbeteiligungsdokument fuer die Finanzierung des KI-Plattform-Ausbaus von Domvs Avrea O.P.N.",
            "target_audience": "Potenzielle Genussschein-Zeichner (Investoren oder ggf. Mitarbeiter-Beteiligungsprogramm) der Domvs-Avrea-Gruppe.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/genitus-marc9schein3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0274",
            "title": "genitusprofitcert-1 — AI Profit Participation Certificate (Investor-Landingpage)",
            "project": "genitusprofitcert-1",
            "category": "Genitus/Genussschein-Oekosystem",
            "cluster": "Genitus/Genussschein-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Chart.js 4.4.0 CDN",
              "Font Awesome 6.4.0",
              "Google Fonts Orbitron/Rajdhani/JetBrains Mono/Inter"
            ],
            "tags": [
              "pitch-asset",
              "investment-certificate",
              "compliance-page",
              "reg-d",
              "genitus",
              "marketing"
            ],
            "status": "production-ready",
            "overview": "Einseitige Landingpage für ein \"Genitus AI Profit Participation Certificate — Series II\" mit Hero-Bereich (rotierender Orb-Grafik, KPI-Leiste, Laufband-Ticker), \"How it Works\"-Sektion (3 Phasen), zweispaltiger Konditionen-Tabelle (Zertifikats-Ökonomie vs. Emittent/Recht), Performance-Sektion mit Chart.js-Liniendiagramm (KI-Strategie vs. Benchmark, 2021-2026, synthetische Daten) und Risiko-Matrix (4 Karten).",
            "elevator_pitch": "Ein institutionell gestaltetes Zertifikats-Prospekt, das +18,9% p.a. AI-gesteuerte Rendite bei garantierter 4,5%-Mindestverzinsung verspricht — gerichtet an akkreditierte Grossanleger.",
            "target_audience": "Akkreditierte Investoren (Mindestanlage 1.000.000 €) im Rahmen einer Reg-D-506(c)-Platzierung.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/genitusprofitcert-1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0275",
            "title": "grauermarktfiannzprompt5 — Ultimate Guide für Finanzberater",
            "project": "grauermarktfiannzprompt5",
            "category": "Domvs-Avrea/Finanzberatung",
            "cluster": "Domvs-Avrea/Finanzberatung",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Font Awesome 6.4.0",
              "Google Fonts Montserrat",
              "Orbitron"
            ],
            "tags": [
              "finanzberatung",
              "vertrieb",
              "sales-coaching",
              "kundenbeziehungen",
              "strategien"
            ],
            "status": "prototype",
            "overview": "Die Seite ist ein umfassender Leitfaden für Finanzberater, der Grundlagen, Strategien und Coaching-Tipps für erfolgreiche Kundenbeziehungen bietet. Sie enthält interaktive Funktionen wie einen Dark/Light Mode und eine mobile Navigation.",
            "elevator_pitch": "Ein unverzichtbarer Leitfaden für Finanzberater und Vertriebsprofis.",
            "target_audience": "Finanzberater, Vertriebsprofis.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/grauermarktfiannzprompt5/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0276",
            "title": "infosys1lemarche2 — GoldShield AI & Le MARCHÉ AI: Investor Brochure",
            "project": "infosys1lemarche2",
            "category": "GoldShield/Le-MARCHÉ-Investorenunterlagen",
            "cluster": "GoldShield/Le-MARCHÉ-Investorenunterlagen",
            "tier": "3",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "investor-brochure",
              "pitch-deck",
              "pricing",
              "goldshield",
              "le-marche",
              "affiliate"
            ],
            "status": "prototype",
            "overview": "Statische Verkaufsbroschuere fuer zwei GoldShield-Produkte: \"GoldShield AI – Premium Financial Intelligence\" ($50/Monat) und \"Le MARCHÉ AI – Precision Trading Suite\" ($20/Monat). Listet Features, Vorteile und Preise beider Produkte auf, gefolgt von zwei zusaetzlichen \"Verkaufstext\"-Abschnitten mit emotionalerer Ansprache (\"Investiere wie ein Profi. Ohne einer zu sein.\") und einer abschliessenden Vergleichstabelle \"Warum du JETZT starten solltest\".",
            "elevator_pitch": "Eine reine Verkaufsseite/Broschuere, die zwei GoldShield-Trading-Produkte im Bundle bewirbt — gedacht fuer Investoren und Affiliates, nicht fuer Endnutzer-Interaktion.",
            "target_audience": "Potenzielle zahlende Abonnenten (Trader/Investoren) sowie Affiliate-Partner, die die Produkte weiterempfehlen sollen (\"Investor- & Affiliate-Ready Broschuere\").",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/infosys1lemarche2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0277",
            "title": "kidz-finanz-konzept — Verkaufsstrategie für DVAG-Produkte",
            "project": "kidz-finanz-konzept",
            "category": "DVAG-Familienprodukte",
            "cluster": "DVAG-Familienprodukte",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Materialize CSS",
              "Google Fonts"
            ],
            "tags": [
              "DVAG",
              "Verkaufsstrategie",
              "Familienversicherung",
              "Gesundheitsplan",
              "Bausparen"
            ],
            "status": "prototype",
            "overview": "Die KIDZ Ultimate Guide-Seite bietet eine detaillierte Verkaufsstrategie für DVAG-Produkte, einschließlich Produktanalysen und Verkaufsskripten, speziell für Familien.",
            "elevator_pitch": "Umfassender Leitfaden zur Verkaufsstrategie für DVAG-Produkte.",
            "target_audience": "Familien und Versicherungsvertreter.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/kidz-finanz-konzept/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0278",
            "title": "kidz-ultimate-mit-allen-vergleichen — KIDZ-Konzept REAL Analyse",
            "project": "kidz-ultimate-mit-allen-vergleichen",
            "category": "KIDZ-Finanzkonzept",
            "cluster": "KIDZ-Finanzkonzept",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS"
            ],
            "tags": [
              "KIDZ-Konzept",
              "Finanzanalyse",
              "Eltern",
              "Vermögensaufbau",
              "ETF",
              "DVAG"
            ],
            "status": "prototype",
            "overview": "Die Webseite bietet eine transparente und ehrliche Analyse des KIDZ-Konzepts, einschließlich Kosten, Renditen und Vergleichen zu ETFs und Versicherungen. Sie richtet sich an Eltern, die ihre Kinder finanziell absichern möchten.",
            "elevator_pitch": "Eine klare und ehrliche Darstellung des KIDZ-Konzepts zur finanziellen Absicherung von Kindern.",
            "target_audience": "Eltern, die an langfristiger Finanzplanung interessiert sind.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/kidz-ultimate-mit-allen-vergleichen/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0279",
            "title": "koran-bibel-erweiterte-analyse-alle-personen — Erweiterte Analyse der biblischen Personen im Koran",
            "project": "koran-bibel-erweiterte-analyse-alle-personen",
            "category": "Koran-Bibel-Analyse",
            "cluster": "Koran-Bibel-Analyse",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2",
              "Bootstrap Icons 1.11.1"
            ],
            "tags": [
              "koran",
              "bibel",
              "analyse",
              "katholisch",
              "chronologie"
            ],
            "status": "prototype",
            "overview": "Diese Webseite bietet eine umfassende chronologische Analyse der 28 im Koran erwähnten biblischen Personen, einschließlich Vergleichen zu biblischen Quellen und historischen Unterschieden, speziell aus einer katholischen Perspektive.",
            "elevator_pitch": "Eine tiefgehende Analyse der biblischen Figuren im Koran für katholische Leser.",
            "target_audience": "Gläubige, Theologen, Interessierte an interreligiösen Studien.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/koran-bibel-erweiterte-analyse-alle-personen/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0280",
            "title": "livre2 — FinTech Frontier: Die Reise eines Traders mit Domvs Avrea O.P.N",
            "project": "livre2",
            "category": "Domvs Avrea O.P.N Marketing-Narrativ",
            "cluster": "Domvs Avrea O.P.N Marketing-Narrativ",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Spectre.css CDN",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "fintech",
              "marketing-narrative",
              "ebook",
              "pitch-content",
              "domvs-avrea"
            ],
            "status": "content-only",
            "overview": "Statische Content-Seite (200 Zeilen) im Buch-/Kapitel-Format: 10 Kapitel als Bootstrap-Card-Layout, jedes mit Überschrift und mehreren Absätzen Marketingtext über \"Domvs Avrea O.P.N\" als fiktiven Fintech-Vorreiter — u.a. Kapitel 1 (Einführung Fintech-Welt), Kapitel 2 (Die Visionäre), Kapitel 3 (AI-Investmentfonds), Kapitel 4 (Genussscheine), Kapitel 5 (Krypto-Investments), Kapitel 6 (AI-gestützte Aktienanalyse), Kapitel 7 (Finanzrechner), Kapitel 8 (Chatbots/Kundenservice), Kapitel 10 (Ausblick — Kapitel 9 fehlt in der Nummerierung).",
            "elevator_pitch": "Ein \"Interactive eBook\" als Markenerzählung für \"Domvs Avrea O.P.N GmbH FinTech\" — positioniert das Unternehmen über zehn Kapitel als KI-getriebenen Fintech-Vorreiter.",
            "target_audience": "Potenzielle Investoren/Partner oder Endkunden, die über eine erzählerische Markendarstellung von den (fiktiven) Produkten überzeugt werden sollen.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/livre2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0281",
            "title": "neuralhausmeister — Intelligentes Facility Management",
            "project": "neuralhausmeister",
            "category": "Genitus Inc Facility Management",
            "cluster": "Genitus Inc Facility Management",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS"
            ],
            "tags": [
              "facility-management",
              "hausmeisterdienste",
              "reinigungsservice",
              "ki-beratung",
              "immobilienverwaltung"
            ],
            "status": "prototype",
            "overview": "Die Webseite von Genitus Inc bietet eine Übersicht über intelligente Facility Management-Dienste, einschließlich Hausmeisterdiensten, Reinigungsservice und KI-gestützter Beratung für Immobilien in Düsseldorf.",
            "elevator_pitch": "Intelligentes Facility Management für Immobilienbesitzer und -verwalter.",
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            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0282",
            "title": "NOSTRA-AETATE — nostra-aetate-analyse (3)",
            "project": "nostra-aetate-analyse-3",
            "category": "Domus-Aurea/Nostra-Aetate-Analyse",
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            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2",
              "Bootstrap Icons 1.11.1"
            ],
            "tags": [
              "theologische Analyse",
              "Nostra Aetate",
              "katholische Kirche",
              "Islam",
              "Religionsvergleich"
            ],
            "status": "prototype",
            "overview": "Die Webseite bietet eine kritische theologische Analyse des Konzilsdokuments Nostra Aetate, mit einem besonderen Fokus auf das Verhältnis der katholischen Kirche zum Islam.",
            "elevator_pitch": "Eine tiefgehende Analyse des Nostra Aetate-Dokuments zur Förderung des interreligiösen Dialogs.",
            "target_audience": "Theologen, Religionswissenschaftler, Interessierte an interreligiösen Themen.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/nostra-aetate-analyse-3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0283",
            "title": "va-vep-final-komplett — VA & VEP Schulungsunterlage 2026",
            "project": "va-vep-final-komplett",
            "category": "DVAG-Altersvorsorge",
            "cluster": "DVAG-Altersvorsorge",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Materialize CSS",
              "Google Fonts"
            ],
            "tags": [
              "finanzberatung",
              "altersvorsorge",
              "dvag",
              "vergleich",
              "schulung"
            ],
            "status": "prototype",
            "overview": "Die VA & VEP Schulungsunterlage bietet einen umfassenden Vergleich der DVAG-Altersvorsorgeprodukte VA, VEP und VASP für 2026. Sie richtet sich an Finanzberater und Kunden, die sich über die Unterschiede informieren möchten.",
            "elevator_pitch": "Umfassende Schulungsunterlage für Altersvorsorgeprodukte.",
            "target_audience": "Finanzberater und interessierte Kunden.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/va-vep-final-komplett/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0284",
            "title": "vasp-final-mit-kundenprofilen-1 — VASP - Vermögensaufbau & Sicherheitsplan",
            "project": "vasp-final-mit-kundenprofilen-1",
            "category": "VASP-Vermögensaufbau",
            "cluster": "VASP-Vermögensaufbau",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre.css"
            ],
            "tags": [
              "VASP",
              "Rentenversicherung",
              "Vermögensaufbau",
              "Sicherheitsplan",
              "Generali"
            ],
            "status": "prototype",
            "overview": "Die Webseite bietet eine umfassende Analyse des Vermögensaufbau- und Sicherheitsplans (VASP) nach Tarif VAN25. Sie erklärt die Vorteile und Komponenten der Rentenversicherung und enthält interaktive Elemente wie Akkordeons und Tabs.",
            "elevator_pitch": "Detaillierte Analyse der Rentenversicherung für potenzielle Kunden.",
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            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/vasp-final-mit-kundenprofilen-1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0285",
            "title": "vibe-english — Fallstudie über den KI Power Index (KIP)",
            "project": "vibe-english",
            "category": "Genitus Inc./KI Power Index",
            "cluster": "Genitus Inc./KI Power Index",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.0",
              "Font Awesome 6.0.0"
            ],
            "tags": [
              "case-study",
              "KI Power Index",
              "Genitus Inc",
              "Softwareentwicklung",
              "Janitor-Entwickler"
            ],
            "status": "prototype",
            "overview": "Die Webseite präsentiert eine detaillierte Fallstudie über den KI Power Index (KIP) von Genitus Inc., einschließlich des Entwicklungsprozesses und der Herausforderungen, die ein Janitor-Entwickler überwunden hat.",
            "elevator_pitch": "Eine umfassende Analyse der Entwicklung des KI Power Index.",
            "target_audience": "Fachleute in der Softwareentwicklung, Investoren, Interessierte an KI.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/vibe-english/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0286",
            "title": "vsp-generali-komplett — VSP Vermögenssicherungspolice von Generali",
            "project": "vsp-generali-komplett",
            "category": "Generali/Vermögenssicherung",
            "cluster": "Generali/Vermögenssicherung",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre.css"
            ],
            "tags": [
              "versicherung",
              "vermögenssicherung",
              "generali",
              "vsp",
              "finanzschutz"
            ],
            "status": "prototype",
            "overview": "Die VSP-Vermögenssicherungspolice von Generali bietet umfassenden Schutz für private Vermögenswerte und kombiniert Pflicht-Bausteine wie Privathaftpflicht, Unfallversicherung und Hausratversicherung. Die Seite enthält interaktive Elemente wie Akkordeons und Tabs zur besseren Benutzererfahrung.",
            "elevator_pitch": "Eine umfassende Versicherungslösung, die mehrere Schutzbausteine in einem Paket vereint.",
            "target_audience": "Privatpersonen, die ihre Vermögenswerte absichern möchten.",
            "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/vsp-generali-komplett/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0287",
            "title": "ai-native-os-guide (1) — AI-natives Betriebssystem",
            "project": "ai-native-os-guide-1",
            "category": "AI-native Betriebssysteme",
            "cluster": "AI-native Betriebssysteme",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2",
              "Google Fonts",
              "CSS"
            ],
            "tags": [
              "AI-native OS",
              "lokale LLMs",
              "RAG-Pipeline",
              "CRUD-Operationen",
              "offline AI"
            ],
            "status": "prototype",
            "overview": "Die Webseite beschreibt ein AI-natives Betriebssystem, das lokale Mistral-LLMs nutzt und Funktionen wie eine RAG-Pipeline sowie CRUD-Operationen bietet. Es handelt sich um eine moderne, ansprechende Benutzeroberfläche, die auf Interaktivität und Benutzerfreundlichkeit ausgelegt ist.",
            "elevator_pitch": "Ein innovatives Betriebssystem, das KI-Funktionalitäten lokal integriert.",
            "target_audience": "Entwickler und Unternehmen, die AI-native Lösungen suchen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/ai-native-os-guide-1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0288",
            "title": "anwaltsafe4 — KI Anwalts Bot",
            "project": "anwaltsafe4",
            "category": "Domvs-Avrea/Anwaltsbot",
            "cluster": "Domvs-Avrea/Anwaltsbot",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "KI Anwalts Bot",
              "Rechtsberatung",
              "Chatbot",
              "Mietrecht",
              "Unternehmensrecht"
            ],
            "status": "prototype",
            "overview": "Die Web-App \"KI Anwalts Bot\" unterstützt Anwälte und Rechtsanwälte bei der Beratung zu verschiedenen Rechtsbereichen, darunter Kündigung, Mietrecht und Unternehmensrecht.",
            "elevator_pitch": "Ein interaktiver Bot, der rechtliche Fragen beantwortet und spezifische Informationen bereitstellt.",
            "target_audience": "Anwälte, Rechtsanwälte und juristische Berater.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/anwaltsafe4/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0289",
            "title": "anwaltvision11 — Sichere Bildanalyse-Webapp",
            "project": "anwaltvision11",
            "category": "Domvs-Avrea/AI-gestuetzte Bildanalyse",
            "cluster": "Domvs-Avrea/AI-gestuetzte Bildanalyse",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "bildanalyse",
              "openai",
              "gpt-4o",
              "text-extrahieren",
              "sichere-verbindung"
            ],
            "status": "prototype",
            "overview": "Die Webapp ermöglicht Nutzern das Hochladen von Bildern zur Analyse durch GPT-4o mini Vision. Ergebnisse werden in Textform extrahiert und bereitgestellt.",
            "elevator_pitch": "Eine sichere Plattform zur Analyse von Bildern und Extraktion von Text.",
            "target_audience": "Nutzer, die Bildinhalte analysieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/anwaltvision11/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0290",
            "title": "autobot10prompt2batch4auto — Batch-Processor für Mistral AI",
            "project": "autobot10prompt2batch4auto",
            "category": "Mistral AI",
            "cluster": "Mistral AI",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "JSZip"
            ],
            "tags": [
              "batch-processor",
              "Mistral AI",
              "Prompt-Verarbeitung",
              "OpenAI"
            ],
            "status": "prototype",
            "overview": "Die Webapp ist ein Batch-Processor für die Mistral AI Streaming Interface, der es ermöglicht, mehrere Prompts gleichzeitig zu verarbeiten und die Ergebnisse herunterzuladen.",
            "elevator_pitch": "Ein leistungsstarker Batch-Processor für die effiziente Verarbeitung von KI-Prompts.",
            "target_audience": "Entwickler und Datenwissenschaftler, die mit KI-gestützten Anwendungen arbeiten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/autobot10prompt2batch4auto/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0291",
            "title": "intra22 — BILDER-INTRANET22",
            "project": "bilder-intranet22",
            "category": "Domus-Aurea/OS",
            "cluster": "Domus-Aurea/OS",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "intranet",
              "KI-Suche",
              "Projektverwaltung",
              "DOMUSAUREA"
            ],
            "status": "prototype",
            "overview": "DOMUSAUREA OS v1.5 ist eine Intranet-Webapp, die KI-gestützte Funktionen zur Verwaltung und Suche von HTML-Anwendungen, Bildern und Projekten bietet. Sie integriert Funktionen wie NeuralView und GPTBLUE.",
            "elevator_pitch": "Eine innovative Intranet-Lösung zur effizienten Verwaltung von Projekten und Bildern mit KI-Integration.",
            "target_audience": "Unternehmen, die ihre internen Ressourcen und Anwendungen verwalten möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/bilder-intranet22/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0292",
            "title": "KIP-INDEX — Genitus Case Study Suite",
            "project": "case-study-kipower1-index3",
            "category": "Genitus Case Study Suite",
            "cluster": "Genitus Case Study Suite",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "case-study",
              "ai-generated",
              "research",
              "analysis",
              "insights"
            ],
            "status": "prototype",
            "overview": "Die Genitus Case Study Suite bietet eine Sammlung von KI-generierten Fallstudien für Forschung, Analyse und Einblicke. Die Webanwendung ermöglicht den Zugriff auf verschiedene Fallstudien durch Tabs und bietet Tastaturkürzel für schnelle Navigation.",
            "elevator_pitch": "Zugriff auf eine umfassende Sammlung von KI-generierten Fallstudien.",
            "target_audience": "Forscher, Analysten, Studenten.",
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            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0293",
            "title": "chatbot-standalone-4 — Genitus AI Chatbot",
            "project": "chatbot-standalone-4",
            "category": "Genitus AI Chatbot",
            "cluster": "Genitus AI Chatbot",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome 6.4.0"
            ],
            "tags": [
              "chatbot",
              "ai",
              "genitus",
              "web-app",
              "interaktive KI"
            ],
            "status": "production",
            "overview": "Der Genitus AI Chatbot ist eine Web-App, die es Benutzern ermöglicht, mit verschiedenen KI-Modellen zu interagieren. Die App bietet Funktionen zur Nachrichtenübertragung, Modellauswahl und automatischer Fortsetzung.",
            "elevator_pitch": "Interaktive Chatbot-App zur Kommunikation mit verschiedenen KI-Modellen.",
            "target_audience": "Technikaffine Nutzer, die mit KI interagieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/chatbot-standalone-4/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0294",
            "title": "claude11 — Anthropic Claude Chatbot",
            "project": "claude11",
            "category": "N/A",
            "cluster": "N/A",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Semantic UI",
              "Google Fonts",
              "Prism.js"
            ],
            "tags": [
              "chatbot",
              "AI",
              "Claude",
              "Anthropic",
              "Web-App"
            ],
            "status": "live",
            "overview": "Die Web-App ermöglicht Benutzern, mit einem KI-Assistenten zu chatten, der Bilder und Code analysieren kann. Sie bietet verschiedene Modelle und Parameter zur Anpassung der Interaktion.",
            "elevator_pitch": "Interaktive Chatbot-App zur Unterstützung bei der Analyse von Bildern und Code.",
            "target_audience": "Entwickler, Technikbegeisterte und Unternehmen, die KI-gestützte Lösungen suchen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/claude11/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0295",
            "title": "STUDIsafe — CLAUDE7studi1",
            "project": "claude7studi1",
            "category": "Domvs-Avrea/Lernbot-Ökosystem",
            "cluster": "Domvs-Avrea/Lernbot-Ökosystem",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript"
            ],
            "tags": [
              "lernstrategien",
              "prüfungsvorbereitung",
              "chatbot",
              "studienhilfe"
            ],
            "status": "prototype",
            "overview": "Die Studenten Lernbot-App bietet spezifische Lernstrategien, Prüfungsvorbereitungshilfen und Unterstützung bei der Erstellung von Facharbeiten. Sie deckt Themen wie effektive Lernmethoden, Zeitmanagement und Zitationsstile ab.",
            "elevator_pitch": "Ein interaktiver Lernbot, der Studierenden hilft, ihre Lernstrategien zu verbessern.",
            "target_audience": "Studierende, die Unterstützung bei der Prüfungsvorbereitung benötigen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/claude7studi1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0296",
            "title": "crmsafe — Orbitron CRM",
            "project": "crmsafe",
            "category": "Domvs-Avrea/CRM-Management",
            "cluster": "Domvs-Avrea/CRM-Management",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "JavaScript",
              "LocalStorage"
            ],
            "tags": [
              "CRM",
              "Kundenbeziehungsmanagement",
              "LocalStorage",
              "AI-Assistant"
            ],
            "status": "prototype",
            "overview": "Orbitron CRM ist eine lokale Webanwendung zur Verwaltung von Kundenkontakten, Aufgaben und Snippets. Sie nutzt den LocalStorage des Browsers zur Datenverwaltung und bietet eine benutzerfreundliche Oberfläche.",
            "elevator_pitch": "Ein umfassendes CRM-Tool zur Verwaltung von Kundenbeziehungen mit AI-Unterstützung.",
            "target_audience": "Kleine bis mittlere Unternehmen, die ihre Kundenbeziehungen optimieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/crmsafe/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0297",
            "title": "crmsafeclaude6 — LeClaude Chat-App",
            "project": "crmsafeclaude6",
            "category": "Domvs-Avrea/LeClaude-KI-Interaktion",
            "cluster": "Domvs-Avrea/LeClaude-KI-Interaktion",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Google Fonts",
              "Prism.js"
            ],
            "tags": [
              "chat-app",
              "KI-Assistent",
              "Claude-Modelle",
              "API-Integration"
            ],
            "status": "prototype",
            "overview": "LeClaude ist eine eigenständige Chat-App, die es Benutzern ermöglicht, mit verschiedenen Claude-KI-Modellen zu interagieren. Die App bietet Einstellungen für Modellauswahl, API-Schlüssel und andere Parameter.",
            "elevator_pitch": "Interaktive Chat-App zur Nutzung von Claude-KI-Modellen.",
            "target_audience": "Entwickler und KI-Interessierte.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/crmsafeclaude6/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0298",
            "title": "crmsafeexcel6bot10 — ORBITRON: Finanzanalyse mit KI-Chat und Excel-Tool",
            "project": "crmsafeexcel6bot10",
            "category": "ORBITRON",
            "cluster": "ORBITRON",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "finanzanalyse",
              "ki-chat",
              "excel-tool",
              "datenverarbeitung",
              "finanzberatung"
            ],
            "status": "prototype",
            "overview": "ORBITRON ist eine Web-App, die Finanzanalysen mit einer KI-unterstützten Chat-Funktion und einem Excel-Tool kombiniert. Sie richtet sich an Finanzexperten und Analysten, die komplexe Datenanalysen und Beratung benötigen.",
            "elevator_pitch": "Eine umfassende Lösung für Finanzanalysen mit interaktiven Chat- und Excel-Tools.",
            "target_audience": "Finanzexperten und Analysten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/crmsafeexcel6bot10/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0299",
            "title": "crtnoire1 — CRT Noir Chatbot",
            "project": "crtnoire1",
            "category": "Nostalgische Chatbot-Anwendungen",
            "cluster": "Nostalgische Chatbot-Anwendungen",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "JavaScript"
            ],
            "tags": [
              "nostalgischer Chatbot",
              "retro-Design",
              "Textgenerierung",
              "Bildgenerierung",
              "1940er-Atmosphäre"
            ],
            "status": "prototype",
            "overview": "CRT Noir Chat ist ein nostalgischer Chatbot im Retro-Stil der 1940er Jahre. Er bietet Funktionen zur Text- und Bildgenerierung sowie eine Chat-Funktion, die eine nostalgische Erfahrung für die Nutzer schafft.",
            "elevator_pitch": "Ein Chatbot, der nostalgische Erlebnisse in einem retro-futuristischen Design bietet.",
            "target_audience": "Nutzer, die an nostalgischen Erlebnissen und interaktiven Chatbot-Anwendungen interessiert sind.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/crtnoire1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0300",
            "title": "demo-studio4 — DEMO Studio für AI-Tools",
            "project": "demo-studio4",
            "category": "DVAG AI Tools",
            "cluster": "DVAG AI Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Google Fonts Orbitron",
              "Font Awesome 6.4.0"
            ],
            "tags": [
              "AI-Tools",
              "Demovideos",
              "Slideshow",
              "Sprachaufnahmen",
              "Videoaufnahme"
            ],
            "status": "prototype",
            "overview": "Das DEMO Studio ermöglicht die Erstellung von Demovideos durch Hochladen von Sprachaufnahmen und Steuerung einer Slideshow. Es bietet Funktionen für den Vollbildmodus und die Präsentation von AI-Tools.",
            "elevator_pitch": "Erstellen Sie ansprechende Demovideos für Ihre AI-Tools mit Leichtigkeit.",
            "target_audience": "Entwickler, Marketer, Unternehmen im AI-Bereich.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/demo-studio4/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0301",
            "title": "CATHolic — domus.org.catholic",
            "project": "domus-org-catholic",
            "category": "Domus-Aurea/Katholische KI-Plattform",
            "cluster": "Domus-Aurea/Katholische KI-Plattform",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Font Awesome 6.0.0",
              "Google Fonts Inter",
              "Orbitron"
            ],
            "tags": [
              "katholische-ki",
              "spirituelle-tools",
              "digitale-assistenten",
              "enzyklopädie"
            ],
            "status": "prototype",
            "overview": "Die Catholic AI-Plattform bietet KI-gestützte spirituelle Tools, Enzyklopädien und digitale Assistenten für Katholiken, um das digitale Zeitalter zu nutzen.",
            "elevator_pitch": "Eine innovative Plattform, die Glauben und Technologie vereint.",
            "target_audience": "Katholiken, die digitale Ressourcen nutzen möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/domus-org-catholic/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0302",
            "title": "dvag-advisor-2-kip-liste-pitch2-akorbitron10 — DVAG Arbeitskreisläufe Präsentation",
            "project": "dvag-advisor-2-kip-liste-pitch2-akorbitron10",
            "category": "DVAG Finanzberatung",
            "cluster": "DVAG Finanzberatung",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Google Fonts Orbitron",
              "Font Awesome 6.4.0"
            ],
            "tags": [
              "DVAG",
              "Finanzberatung",
              "Arbeitskreisläufe",
              "finanzielle Freiheit",
              "Kundenorientierung"
            ],
            "status": "prototype",
            "overview": "Die Webapp zeigt die vier Phasen der DVAG-Arbeitskreisläufe zur finanziellen Freiheit: Start, Ersttermin, Beratung und Betreuung. Sie richtet sich an Finanzberater und deren Kunden und bietet eine interaktive Präsentation.",
            "elevator_pitch": "Interaktive Präsentation der DVAG-Arbeitskreisläufe zur Unterstützung von Finanzberatern.",
            "target_audience": "Finanzberater und Kunden.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-advisor-2-kip-liste-pitch2-akorbitron10/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0303",
            "title": "dvag-celestiao7-tradingplan-claude2 — Anthropic Claude Chatbot (Direct-API-Client)",
            "project": "dvag-celestiao7-tradingplan-claude2",
            "category": "unbekannt (generischer Claude-Chat-Client)",
            "cluster": "unbekannt (generischer Claude-Chat-Client)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Semantic UI CDN",
              "Google Fonts Lato/Nunito/Fira Code",
              "Prism.js",
              "PDF.js",
              "Vanilla JS",
              "Fetch API",
              "api.anthropic.com direkt"
            ],
            "tags": [
              "ai-agent",
              "chatbot",
              "claude-api",
              "anthropic",
              "vision-api",
              "direct-browser-access"
            ],
            "status": "prototype",
            "overview": "Ein vollstaendiger, generischer Chat-Client fuer die Anthropic-API: Nutzer traegt einen eigenen API-Key (`sk-ant-...`) ein, waehlt implizit das Modell `claude-3-7-sonnet-20250219` und chattet direkt im Browser mit Claude — inklusive Bild-Upload (Anthropic Vision API), Datei-Upload, Code-Syntax-Highlighting (Prism.js), PDF-Rendering (PDF.js) und Chat-Export.",
            "elevator_pitch": "Ein \"Bring-your-own-API-Key\"-Chat-Frontend fuer Claude, das direkt im Browser laeuft — kein eigenes Backend noetig.",
            "target_audience": "Entwickler/Power-User, die ohne eigenes Hosting einen Claude-Chat mit Bild-/Datei-Support nutzen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-celestiao7-tradingplan-claude2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0304",
            "title": "dvag-celestiao7-tradingplan1-lecode10auto — LeCode AI Assistant (DVAG Edition, Auto-Continue-Variante)",
            "project": "dvag-celestiao7-tradingplan1-lecode10auto",
            "category": "LeCode-AI-Assistant-Familie (DVAG-Edition)",
            "cluster": "LeCode-AI-Assistant-Familie (DVAG-Edition)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre.css CDN",
              "Google Fonts Orbitron",
              "Font Awesome",
              "Ace Editor",
              "Prism.js",
              "Vanilla JS",
              "Fetch API",
              "theserver-open-ai.replit.app"
            ],
            "tags": [
              "ai-agent",
              "code-generator",
              "coding-assistant",
              "mistral-codestral",
              "dvag-branding",
              "auto-continue"
            ],
            "status": "prototype",
            "overview": "Nahezu 1:1-Zwilling von `dvag-celestiao7-tradingplan1-lecode8` — derselbe \"LeCode AI Assistant\", derselbe Codestral-Proxy-Aufruf. Unterschied: die Auto-Continue-Checkbox ist hier in eine eigene, hervorgehobene Zeile mit Label \"Auto-Continue\" (statt kompakt \"Auto\" im Toolbar) ausgelagert, und der Code-Generator-System-Prompt wurde vereinfacht (die HTML-spezifische \"STOP nach `</html>`\"-Anweisung wurde entfernt).",
            "elevator_pitch": "Wie `lecode8` — ein Code-only-KI-Assistent mit Live-HTML-Vorschau und Editor-Integration; diese Variante legt sichtbaren Fokus auf die Auto-Continue-Funktion (automatisches Fortsetzen abgeschnittener Code-Antworten).",
            "target_audience": "Wie `lecode8` — Entwickler, die schnelle Code-Snippets generieren wollen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-celestiao7-tradingplan1-lecode10auto/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0305",
            "title": "dvag-celestiao7-tradingplan1-lecode8 — LeCode AI Assistant (DVAG Edition, lecode8)",
            "project": "dvag-celestiao7-tradingplan1-lecode8",
            "category": "LeCode-AI-Assistant-Familie (DVAG-Edition)",
            "cluster": "LeCode-AI-Assistant-Familie (DVAG-Edition)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre.css CDN",
              "Google Fonts Orbitron",
              "Font Awesome",
              "Ace Editor",
              "Prism.js",
              "Vanilla JS",
              "Fetch API",
              "theserver-open-ai.replit.app"
            ],
            "tags": [
              "ai-agent",
              "code-generator",
              "coding-assistant",
              "mistral-codestral",
              "dvag-branding"
            ],
            "status": "prototype",
            "overview": "Ein Chat-basierter Code-Generator im DVAG-Gold/Blau-Design: Nutzer gibt einen Prompt ein, das Tool ruft ueber einen externen Proxy das Mistral-Modell `codestral-latest` auf und liefert reinen Code zurueck (Markdown-Codebloecke), der direkt im eingebauten Ace-Editor bearbeitet, als HTML live ausgefuehrt, heruntergeladen oder kopiert werden kann.",
            "elevator_pitch": "Ein spezialisierter \"nur Code, keine Erklaerungen\"-KI-Assistent mit sofortiger Live-Vorschau (HTML-Ausfuehrung im Browser) und Editor-Integration.",
            "target_audience": "Entwickler, die schnelle Code-Snippets generieren und direkt testen wollen, ohne zwischen Chat und Editor zu wechseln.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-celestiao7-tradingplan1-lecode8/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0306",
            "title": "dvag-celestiaos1-record — Corporate Recorder Suite",
            "project": "dvag-celestiaos1-record",
            "category": "Domvs-Avrea/Corporate Recorder Suite",
            "cluster": "Domvs-Avrea/Corporate Recorder Suite",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "webcam",
              "screen-recording",
              "audio-recording",
              "webinar",
              "presentation"
            ],
            "status": "prototype",
            "overview": "Die Corporate Recorder Suite ermöglicht die Aufzeichnung von Webcam, Mikrofon, Bildschirm und Browser-Tabs. Sie bietet Funktionen zur Erstellung und zum Download von Aufzeichnungen für Webinare, Präsentationen und Kommentare.",
            "elevator_pitch": "Eine umfassende Lösung zur Aufzeichnung von Inhalten für Webinare und Präsentationen.",
            "target_audience": "Trainer, Webinar-Moderatoren, Content-Creator.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-celestiaos1-record/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0307",
            "title": "dvag-export-genitus-org1 — Genitus Inc. AI Software Factory",
            "project": "dvag-export-genitus-org1",
            "category": "Genitus Inc./AI Software Solutions",
            "cluster": "Genitus Inc./AI Software Solutions",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome",
              "Google Fonts"
            ],
            "tags": [
              "AI",
              "SaaS",
              "fintech",
              "CelestiaOS",
              "GlobalFintech"
            ],
            "status": "prototype",
            "overview": "Die Seite präsentiert Genitus Inc. als Anbieter von AI-Softwarelösungen im Finanzsektor, einschließlich SaaS-Entwicklung und einer Plattform mit mehreren AI-Tools.",
            "elevator_pitch": "Genitus Inc. bietet fortschrittliche AI-Lösungen für die Finanztechnologie.",
            "target_audience": "Unternehmen im Finanzsektor, die AI-gestützte Lösungen suchen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-export-genitus-org1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0308",
            "title": "dvag-steurn-script4-audio-video2a — DVAG Arbeitskreisläufe Präsentation",
            "project": "dvag-steurn-script4-audio-video2a",
            "category": "DVAG Finanzberatung",
            "cluster": "DVAG Finanzberatung",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript"
            ],
            "tags": [
              "finanzberatung",
              "arbeitskreisläufe",
              "audio",
              "video",
              "präsentation"
            ],
            "status": "prototype",
            "overview": "Die Webapp zeigt die vier Phasen der DVAG-Arbeitskreisläufe zur finanziellen Freiheit und bietet Funktionen für Audio- und Video-Präsentationen.",
            "elevator_pitch": "Interaktive Präsentation der DVAG-Arbeitskreisläufe mit Audio- und Videoelementen.",
            "target_audience": "Finanzberater und Interessierte an finanzieller Freiheit.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-steurn-script4-audio-video2a/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0309",
            "title": "dvag8 — DVAG Beratungstrainer",
            "project": "dvag8",
            "category": "Domvs-Avrea/DVAG Beratungstrainer",
            "cluster": "Domvs-Avrea/DVAG Beratungstrainer",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "JavaScript"
            ],
            "tags": [
              "beratungstrainer",
              "simulations",
              "interaktive-tools",
              "AI"
            ],
            "status": "prototype",
            "overview": "Die DVAG Beratungstrainer-App simuliert Beratungsgespräche zwischen Beratern und Kunden, um die Fähigkeiten von Beratern zu trainieren. Nutzer können zwischen verschiedenen Rollen, Personas, Situationen und Dealgrößen wählen.",
            "elevator_pitch": "Eine interaktive Simulation zur Verbesserung der Beratungsfähigkeiten.",
            "target_audience": "Berater und Trainer in der Finanzbranche.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag8/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0310",
            "title": "EMBED-CHAT — EMBEDDINGS_CHATBOT_v2 (1)",
            "project": "embeddings-chatbot-v2-1",
            "category": "Domvs-Avrea/Chatbot-Ökosystem",
            "cluster": "Domvs-Avrea/Chatbot-Ökosystem",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome 6.0.0"
            ],
            "tags": [
              "chatbot",
              "ai",
              "semantische Suche",
              "FAQ",
              "Plagiatsdetektion"
            ],
            "status": "production-ready",
            "overview": "Der Embeddings Chatbot v2 ist ein KI-gestützter Chatbot, der Kundenanfragen mit semantischer Suche verarbeitet und Antworten aus einer FAQ-Datenbank liefert. Er unterstützt verschiedene Modi wie Support, Ähnlichkeitsprüfung und Plagiatsdetektion.",
            "elevator_pitch": "Ein vielseitiger Chatbot, der auf Kundenanfragen reagiert und semantische Suche nutzt.",
            "target_audience": "Unternehmen, die automatisierte Kundenanfragen bearbeiten möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/embeddings-chatbot-v2-1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0311",
            "title": "femmescript — Kommunikationsscripts für Frauen in Beziehungen",
            "project": "femmescript",
            "category": "Kommunikationshilfen für Frauen",
            "cluster": "Kommunikationshilfen für Frauen",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "kommunikation",
              "beziehungen",
              "frauen",
              "konfliktlösung",
              "partnerschaft"
            ],
            "status": "prototype",
            "overview": "FemmeScripts bietet praktische Kommunikationsscripts und Strategien für Frauen in Beziehungen, um Konflikte zu lösen und ein besseres Partnerschaftsverhältnis aufzubauen.",
            "elevator_pitch": "Effektive Kommunikationshilfen für Frauen, um Beziehungsprobleme zu meistern.",
            "target_audience": "Frauen in Beziehungen, die ihre Kommunikationsfähigkeiten verbessern möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/femmescript/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0312",
            "title": "file — Web-App zur Analyse und Bearbeitung von PDF-Dateien",
            "project": "file",
            "category": "(kein Cluster angegeben)",
            "cluster": "(kein Cluster angegeben)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "PDF-Analyse",
              "Dokumentenverarbeitung",
              "Datei-Management",
              "Chat-Interface"
            ],
            "status": "prototype",
            "overview": "File GPT Chat ist eine Web-App, die es Nutzern ermöglicht, PDF-Dateien hochzuladen, zu analysieren, zusammenzufassen und zu durchsuchen. Sie bietet ein interaktives Chat-Interface zur Dokumentenverarbeitung.",
            "elevator_pitch": "Eine benutzerfreundliche Plattform zur effizienten Bearbeitung und Analyse von PDF-Dokumenten.",
            "target_audience": "Studierende, Fachleute und alle, die regelmäßig mit PDF-Dokumenten arbeiten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/file/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0313",
            "title": "finalcelestiaos — Plattform für fortschrittliche KI-Technologien",
            "project": "finalcelestiaos",
            "category": "Domvs-Avrea/AI-Tools-Plattform",
            "cluster": "Domvs-Avrea/AI-Tools-Plattform",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN",
              "React",
              "Babel"
            ],
            "tags": [
              "ai-tools",
              "fintech",
              "agents",
              "react"
            ],
            "status": "prototype",
            "overview": "Die Webseite dient als Plattform für fortschrittliche KI-Technologien und Tools, einschließlich Agenten und Büroanwendungen. Sie nutzt React für die Interaktivität und Tailwind CSS für das Design.",
            "elevator_pitch": "Eine zentrale Anlaufstelle für innovative KI-Tools und Agenten.",
            "target_audience": "Entwickler und Unternehmen, die KI-Technologien integrieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/finalcelestiaos/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0314",
            "title": "fintechadsbot3 — FinTech Chatbot mit Werbeslots (FINTECHadsbot3)",
            "project": "fintechadsbot3",
            "category": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
            "cluster": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron",
              "Fetch API",
              "api.openai.com direkt",
              "gpt-4o-mini"
            ],
            "tags": [
              "ai-agent",
              "chatbot",
              "openai-direct",
              "ads-monetarisierung",
              "exposed-api-key",
              "sales-bot"
            ],
            "status": "prototype",
            "overview": "Ein Chatbot-Widget fuer \"Domvs Avrea O.P.N GmbH\" mit vorgefertigten Gespraechsstartern (Innovationen, Investmentstrategien, KI-Aktienanalyse, Hedgefonds-Projekt), das direkt `gpt-4o-mini` ueber die OpenAI-API aufruft. Besonderheit gegenueber den Geschwister-Bots (`fintechbot`, `fintechbot10`): eine seitliche Werbeflaeche mit Platzhalter-Ad-Slots, einem Ad-Ticker und automatisierten \"Sales-Message\"-Einblendungen mit CTA-Buttons — ein Chatbot mit eingebauter Monetarisierungs-/Lead-Gen-Schicht.",
            "elevator_pitch": "Ein Marketing-Chatbot, der Unternehmensinformationen im Gespraech vermittelt UND gleichzeitig Werbeflaechen/Sales-CTAs einblendet — Chat als Vertriebskanal statt reinem Support-Tool.",
            "target_audience": "Website-Besucher von domusaurea.tech, die per Chat mehr ueber \"Domvs Avrea O.P.N GmbH\" erfahren sollen, mit gleichzeitiger Umsatzgenerierung ueber Ad-Slots.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/fintechadsbot3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0315",
            "title": "fintechbot — FinTech Chatbot (Domvs Avrea O.P.N)",
            "project": "fintechbot",
            "category": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
            "cluster": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron",
              "Fetch API",
              "api.openai.com direkt",
              "gpt-4o-mini"
            ],
            "tags": [
              "ai-agent",
              "chatbot",
              "openai-direct",
              "exposed-api-key",
              "company-assistant"
            ],
            "status": "prototype",
            "overview": "Die \"einfache\" Basisversion des FinTech-Chatbots (ohne Ad-Slots wie `fintechadsbot3`, ohne RAG wie `fintechbot10`): ein schlankes Chat-Widget mit 7 vorformulierten Gespraechsstartern rund um die fiktive Firma \"Domvs Avrea O.P.N GmbH\", das direkt `gpt-4o-mini` ueber die OpenAI-API aufruft. Wird in `finindex.html` als Iframe-Popup hinter einem schwebenden Chat-Icon eingebunden.",
            "elevator_pitch": "Ein schlanker Firmen-Info-Chatbot, der als eingebettetes Widget in anderen Domvs-Avrea-Portalseiten fungiert.",
            "target_audience": "Besucher der Domvs-Avrea-Portalseiten (`finindex`, `fintechapp`), die per Chat mehr ueber die Firma erfahren wollen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/fintechbot/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0316",
            "title": "fintechbot10 — FinTech Chatbot v10 (mit Dokumenten-Retrieval)",
            "project": "fintechbot10",
            "category": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
            "cluster": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron",
              "Prism.js",
              "Fetch API",
              "api.openai.com direkt",
              "gpt-4o-mini",
              "RAG/Dokumenten-Retrieval"
            ],
            "tags": [
              "ai-agent",
              "chatbot",
              "openai-direct",
              "rag",
              "code-generation",
              "exposed-api-key"
            ],
            "status": "prototype",
            "overview": "Die am weitesten entwickelte Variante der FinTech-Chatbot-Familie: aehnliches Firmen-Chat-Konzept wie `fintechbot`, aber mit professionellerem blauem Farbschema, Prism.js-Syntax-Highlighting, dynamischer Verfuegbare-Hoehe-Berechnung (`--available-height`) fuer bessere Mobile-Darstellung, zusaetzlichen Code-generierenden Gespraechsstartern (HTML5/CSS-Template, Python-Datenanalyse-Skript) und einer **RAG-aehnlichen Funktion** (`retrieveRelevantDocument`), die vor dem API-Call passende Dokumente/Kontext heranzieht.",
            "elevator_pitch": "Die \"Pro\"-Version des Firmen-Chatbots — kombiniert Unternehmensinformationen mit Code-Generierungs-Faehigkeiten und Kontext-Anreicherung (RAG) fuer praezisere Antworten.",
            "target_audience": "Wie die anderen Bots, zusaetzlich Entwickler/Interessenten, die Code-Snippets im FinTech-Kontext generieren lassen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/fintechbot10/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0317",
            "title": "gemini-genitus-gpt-dalle-test5 — KI-Assistent Pro",
            "project": "gemini-genitus-gpt-dalle-test5",
            "category": "(nicht angegeben)",
            "cluster": "(nicht angegeben)",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Alpine.js",
              "Font Awesome",
              "Papa Parse",
              "Prism.js",
              "DOMPurify",
              "Marked"
            ],
            "tags": [
              "KI-Assistent",
              "Chatbot",
              "GPT-4o",
              "Konversationsverwaltung",
              "Wissensbasis"
            ],
            "status": "prototype",
            "overview": "Die Web-App \"AI Assistant Pro\" ermöglicht Benutzern, mit verschiedenen KI-Modellen zu chatten, ihre Konversationen zu verwalten und eine Wissensbasis zu erstellen.",
            "elevator_pitch": "Ein vielseitiger KI-Assistent für die Verwaltung von Konversationen und Wissensdatenbanken.",
            "target_audience": "Technikaffine Nutzer, die mit KI interagieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/gemini-genitus-gpt-dalle-test5/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0318",
            "title": "gemini-og-turbo24 — AI Software Factory von Genitus Inc.",
            "project": "gemini-og-turbo24",
            "category": "Genitus Inc. AI Tools",
            "cluster": "Genitus Inc. AI Tools",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.1.1",
              "Font Awesome 6.0.0",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "AI-Software",
              "Chatfunktion",
              "Bildgenerierung",
              "Sprachausgabe"
            ],
            "status": "prototype",
            "overview": "Die Seite bietet eine Plattform für verschiedene KI-Tools von Genitus Inc., einschließlich Chatfunktionen und Bildgenerierung. Sie nutzt ein modernes Design mit Bootstrap und ist für die Interaktion mit Nutzern optimiert.",
            "elevator_pitch": "Eine umfassende AI-Software-Factory für kreative und interaktive Anwendungen.",
            "target_audience": "Entwickler, Unternehmen und kreative Nutzer.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/gemini-og-turbo24/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0319",
            "title": "genitus-fintech-lexikon-text — FinTech LexikonAI",
            "project": "genitus-fintech-lexikon-text",
            "category": "Domvs-Avrea/FinTech-Enzyklopädie",
            "cluster": "Domvs-Avrea/FinTech-Enzyklopädie",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.0",
              "Font Awesome 6.4.0"
            ],
            "tags": [
              "FinTech",
              "Enzyklopädie",
              "Aktienanalyse",
              "Kryptowährungen",
              "Übersetzungsfunktion"
            ],
            "status": "prototype",
            "overview": "Die FinTech LexikonAI-App bietet eine umfassende Enzyklopädie mit technischen und fundamentalen Analysen zu Aktien, Kryptowährungen, Commodities und Forex. Nutzer können nach Themen suchen und Inhalte in verschiedene Sprachen übersetzen.",
            "elevator_pitch": "Eine umfassende Ressource für FinTech-Analysen und Übersetzungen.",
            "target_audience": "Investoren, Analysten und FinTech-Interessierte.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/genitus-fintech-lexikon-text/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0320",
            "title": "genitus.org1 — AI Software Factory von Genitus Inc.",
            "project": "genitus-org1",
            "category": "Genitus Inc. AI Software Ecosystem",
            "cluster": "Genitus Inc. AI Software Ecosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome",
              "Google Fonts"
            ],
            "tags": [
              "AI",
              "SaaS",
              "fintech",
              "software development",
              "CelestiaOS"
            ],
            "status": "prototype",
            "overview": "Die Webseite präsentiert Genitus Inc. als AI-Software-Fabrik, die sich auf die Entwicklung von enterprise-grade SaaS-Lösungen und das CelestiaOS-Ökosystem spezialisiert hat. Sie bietet eine Vielzahl von AI-Tools und Sicherheitslösungen für Finanzplattformen.",
            "elevator_pitch": "Genitus Inc. bietet fortschrittliche AI-Lösungen für Unternehmen im Finanzsektor.",
            "target_audience": "Unternehmen, die an AI-gestützten Softwarelösungen interessiert sind.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/genitus-org1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0321",
            "title": "glasmorph — Glassmorphism AI Chat",
            "project": "glasmorph",
            "category": "KI-Chat-Anwendungen",
            "cluster": "KI-Chat-Anwendungen",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "JavaScript"
            ],
            "tags": [
              "ai-chat",
              "glassmorphism",
              "ki-assistent",
              "bildgenerierung",
              "chat-historie"
            ],
            "status": "prototype",
            "overview": "Glassmorphism AI Chat ist eine moderne Webanwendung, die Nutzern ermöglicht, mit einer KI-Assistentin zu chatten, Bilder zu generieren und Dateien hochzuladen. Das Design nutzt den Glassmorphism-Stil für eine ansprechende Benutzeroberfläche.",
            "elevator_pitch": "Interaktive KI-Chat-Anwendung im modernen Glassmorphism-Design.",
            "target_audience": "Technikaffine Nutzer, die mit KI interagieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/glasmorph/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0322",
            "title": "gold-community — GoldShield AI & Trading Community",
            "project": "gold-community",
            "category": "GoldShield Trading Community",
            "cluster": "GoldShield Trading Community",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Font Awesome 6.4.0"
            ],
            "tags": [
              "AI-Trading",
              "GTM Playbook",
              "Investment-Produkte",
              "E-Mail-Marketing",
              "Trading-Community"
            ],
            "status": "prototype",
            "overview": "Die GoldShield AI & Trading Community bietet ein 90-Tage-GTM-Playbook zur Vermarktung von AI-Trading-Tools und Investment-Produkten, mit einem Fokus auf E-Mail-Abonnenten und Unternehmenspartnerschaften.",
            "elevator_pitch": "Eine umfassende Plattform für AI-Trading und Community-Engagement.",
            "target_audience": "Trader, Investoren und Unternehmen im Finanzsektor.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/gold-community/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0323",
            "title": "gpt-os1turbo10stream2basic — AI Software Factory für Entwickler",
            "project": "gpt-os1turbo10stream2basic",
            "category": "Genitus Inc./GPTurbo",
            "cluster": "Genitus Inc./GPTurbo",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.1.1",
              "Font Awesome 6.0.0-beta3",
              "Prism.js"
            ],
            "tags": [
              "AI Software Factory",
              "KI-Tools",
              "Softwareentwicklung",
              "GPTurbo"
            ],
            "status": "prototype",
            "overview": "Die Anwendung bietet eine Plattform für Entwickler und IT-Profis, um mit verschiedenen KI-gestützten Tools zu arbeiten, die speziell für die Softwareentwicklung konzipiert sind.",
            "elevator_pitch": "Eine umfassende AI-Software-Fabrik, die Entwicklern hilft, ihre Projekte effizienter zu gestalten.",
            "target_audience": "Entwickler, IT-Profis.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/gpt-os1turbo10stream2basic/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0324",
            "title": "grauermarktfdvagbo2 — DVAG Beratungstrainer",
            "project": "grauermarktfdvagbo2",
            "category": "DVAG Beratungstraining",
            "cluster": "DVAG Beratungstraining",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome",
              "JavaScript"
            ],
            "tags": [
              "beratungstraining",
              "gesprächssimulator",
              "vermögensberatung",
              "interaktiv"
            ],
            "status": "prototype",
            "overview": "Die DVAG Beratungstrainer-App ist ein interaktiver Gesprächssimulator, der es Vermögensberatern ermöglicht, ihre Gesprächsführung und Bedarfsanalyse zu üben. Die App bietet verschiedene Szenarien und Rollen für ein realistisches Training.",
            "elevator_pitch": "Interaktives Training für Vermögensberater zur Verbesserung der Gesprächsführung.",
            "target_audience": "Vermögensberater und Beratungstrainer.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/grauermarktfdvagbo2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0325",
            "title": "grauermarktfdvagbot-20 — KI-gestützter Beratungstrainer",
            "project": "grauermarktfdvagbot-20",
            "category": "DVAG Beratungstrainer",
            "cluster": "DVAG Beratungstrainer",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome",
              "JavaScript"
            ],
            "tags": [
              "beratungstrainer",
              "gesprächssimulator",
              "KI-gestützt",
              "CRM-Integration"
            ],
            "status": "prototype",
            "overview": "Eine interaktive Webanwendung, die Beratungstrainern hilft, Gesprächsführung, Bedarfsanalyse und Einwandbehandlung durch Simulationen zu üben. Nutzer können verschiedene Rollen und Szenarien wählen.",
            "elevator_pitch": "Ein innovatives Tool zur Verbesserung der Beratungskompetenzen durch realistische Simulationen.",
            "target_audience": "Beratungstrainer und Vertriebsmitarbeiter.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/grauermarktfdvagbot-20/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0326",
            "title": "grauermarktfiannzprompt4markov — AUTOBOT Chat (Markov-Prompt-Generator)",
            "project": "grauermarktfiannzprompt4markov",
            "category": "unabhaengig (Prompt-Generator-Prototyp)",
            "cluster": "unabhaengig (Prompt-Generator-Prototyp)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.1",
              "Vanilla JS",
              "Markov-Chain-Textgenerierung",
              "OpenAI API"
            ],
            "tags": [
              "prompt-engineering",
              "markov-chain",
              "openai",
              "chatbot",
              "api-key-exposed",
              "autobot"
            ],
            "status": "prototype",
            "overview": "Eine Seite, die aus vordefinierten Wortlisten (Kategorien wie \"frontend\", \"javascript\", \"prompt engineering\", \"AI\", \"RAG\", \"LLMOps\", \"AI safety\", \"projects\", \"technologies\") per Markov-Kette automatisch Text-Prompts generiert, diese optional automatisiert im Intervall an die OpenAI-Chat-API sendet und die Antworten in einem iframe-basierten Chatverlauf anzeigt. Nutzer koennen Markov-Order, Prompt-Laenge, Temperature, Antwortlaenge und Sende-Intervall einstellen sowie Konversationen/Snippets als Datei herunterladen.",
            "elevator_pitch": "Ein automatisierter \"Prompt-Roulette\"-Bot, der zufaellige, aber thematisch plausible KI-/Dev-Prompts generiert und sie im Loop an ein LLM schickt — nuetzlich zum Stresstesten/Brainstorming von Prompt-Ideen.",
            "target_audience": "Entwickler/Prompt-Engineers, die automatisiert viele Prompt-Varianten gegen ein Modell testen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/grauermarktfiannzprompt4markov/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0327",
            "title": "green10 — Green AI für nachhaltige Lösungen",
            "project": "green10",
            "category": "Domvs-Avrea/Green AI Solutions",
            "cluster": "Domvs-Avrea/Green AI Solutions",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "nachhaltige KI",
              "Umweltmanagement",
              "CO₂-Emissionen",
              "Smart-Grid",
              "Domvs Avrea"
            ],
            "status": "prototype",
            "overview": "Green AI ist eine Webapp von Domvs Avrea O.P.N GmbH, die Unternehmen und Gemeinden nachhaltige KI-Lösungen bietet. Die App umfasst Funktionen wie Umweltmanagement, CO₂-Emissionen-Tracking und Smart-Grid-Technologie.",
            "elevator_pitch": "Innovative KI-Lösungen zur Unterstützung von Umweltmanagement und CO₂-Tracking.",
            "target_audience": "Unternehmen und Gemeinden, die nachhaltige Praktiken implementieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/green10/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0328",
            "title": "index-claude-1 — Claude AI Development Studio",
            "project": "index-claude-1",
            "category": "Claude AI Tools",
            "cluster": "Claude AI Tools",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre CSS",
              "Font Awesome",
              "Ace Editor",
              "PDF.js"
            ],
            "tags": [
              "Claude AI",
              "PDF Analyse",
              "HTML Generator",
              "Entwicklerwerkzeug"
            ],
            "status": "prototype",
            "overview": "Die Anwendung ist ein Entwicklerwerkzeug, das die Interaktion mit der Claude-AI ermöglicht. Sie bietet Funktionen zur Analyse von PDFs und zur Generierung von HTML-Code.",
            "elevator_pitch": "Ein umfassendes Tool zur Interaktion mit Claude AI für Entwickler.",
            "target_audience": "Softwareentwickler und KI-Interessierte.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/index-claude-1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0329",
            "title": "infosys1prompts — Genitus AI Prompt Library",
            "project": "infosys1prompts",
            "category": "Genitus AI Prompt Library",
            "cluster": "Genitus AI Prompt Library",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2",
              "JavaScript"
            ],
            "tags": [
              "AI-Prompts",
              "Framework-Prompts",
              "Marketing-Prompts",
              "Sales-Prompts",
              "Prompt-Bibliothek"
            ],
            "status": "prototype",
            "overview": "Die Genitus Prompt Library ist eine Web-App, die eine Sammlung von AI-Prompts für verschiedene Anwendungsbereiche wie Frameworks, Marketing und Sales bereitstellt. Sie ermöglicht das Durchsuchen und Filtern von Prompts für Entwickler, Marketing-Spezialisten und Vertriebsmitarbeiter.",
            "elevator_pitch": "Eine umfassende Bibliothek von AI-Prompts zur Unterstützung von Entwicklern und Marketing-Profis.",
            "target_audience": "Entwickler, Marketing-Spezialisten, Vertriebsmitarbeiter.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosys1prompts/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0330",
            "title": "infosyscrm20ki — Orbitron CRM",
            "project": "infosyscrm20ki",
            "category": "Orbitron CRM",
            "cluster": "Orbitron CRM",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "PapaParse",
              "Marked.js",
              "Axios"
            ],
            "tags": [
              "CRM",
              "Kundenkontakte",
              "Aufgaben",
              "AI-Anrufe",
              "LocalStorage"
            ],
            "status": "prototype",
            "overview": "Orbitron CRM ist eine lokale Webanwendung, die es Nutzern ermöglicht, Kundenkontakte, Aufgaben und AI-gestützte Anrufe zu verwalten. Die Anwendung speichert Daten im LocalStorage und bietet eine benutzerfreundliche Oberfläche zur Verwaltung von Leads und Tasks.",
            "elevator_pitch": "Ein leistungsstarkes CRM-Tool zur effizienten Verwaltung von Kundenbeziehungen und Aufgaben.",
            "target_audience": "Kleine bis mittelgroße Unternehmen, die ihre Kundeninteraktionen optimieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosyscrm20ki/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0331",
            "title": "PUSHAorbi — infosysCRM30pusha27orbitron",
            "project": "infosyscrm30pusha27orbitron",
            "category": "N/A",
            "cluster": "N/A",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "AI",
              "Marketing",
              "Verkauf",
              "KI-Tools",
              "Content-Erstellung"
            ],
            "status": "prototype",
            "overview": "Die Webapp \"AI Sales Center\" bietet eine Sammlung von KI-gestützten Tools für Marketing- und Verkaufsaufgaben, einschließlich der Erstellung von Inhalten wie Video-Skripten, E-Mails und mehr. Es handelt sich um eine moderne, interaktive Anwendung mit einem ansprechenden Design.",
            "elevator_pitch": "Ein umfassendes KI-gestütztes Tool für Marketing- und Verkaufsprofis.",
            "target_audience": "Marketing- und Vertriebsteams.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosyscrm30pusha27orbitron/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0332",
            "title": "infosyscrm7 — Orbitron CRM",
            "project": "infosyscrm7",
            "category": "Domvs-Avrea/CRM-Systeme",
            "cluster": "Domvs-Avrea/CRM-Systeme",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome",
              "LocalStorage"
            ],
            "tags": [
              "CRM",
              "Kundenkontakte",
              "Aufgabenverwaltung",
              "LocalStorage",
              "Webanwendung"
            ],
            "status": "prototype",
            "overview": "Orbitron CRM ist eine lokale Webanwendung, die Kundenkontakte und Aufgaben in einem Dashboard verwaltet. Sie speichert Daten im LocalStorage des Browsers und richtet sich an kleine Unternehmen oder Freiberufler.",
            "elevator_pitch": "Ein einfaches, lokal betriebenes CRM zur Verwaltung von Kundenkontakten und Aufgaben.",
            "target_audience": "Kleine Unternehmen und Freiberufler.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosyscrm7/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0333",
            "title": "infosysfinads1 — FinTech Chatbot (mit Werbeflaechen)",
            "project": "infosysfinads1",
            "category": "Domvs-Avrea-O.P.N-Chatbot-Familie",
            "cluster": "Domvs-Avrea-O.P.N-Chatbot-Familie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5",
              "Vanilla JS",
              "OpenAI API"
            ],
            "tags": [
              "chatbot",
              "fintech-marketing",
              "ads-slots",
              "api-key-exposed",
              "domvs-avrea"
            ],
            "status": "prototype",
            "overview": "Ein dreispaltiges Layout: links und rechts je eine Spalte mit Werbeflaechen (Bild-, Video-, Canvas- und SVG-Ad-Slots samt \"Advertise with Us\"-Buttons), in der Mitte ein Chatbot fuer \"Domvs Avrea O.P.N\" mit vorformulierten Gespraechsstartern zu Finanzthemen (Investmentstrategien, KI-Aktienanalyse, Hedge-Fund-Projekt, nachhaltige Entwicklung).",
            "elevator_pitch": "Ein FinTech-Chatbot, der gleichzeitig als Werbeflaechen-Vermarktungsseite dient — Content (Chat) und Monetarisierung (Ad-Slots) in einer Ansicht kombiniert.",
            "target_audience": "Doppelt: Endnutzer, die sich per Chat ueber \"Domvs Avrea O.P.N\"-Finanzthemen informieren wollen, UND potenzielle Werbekunden, die die sichtbaren Ad-Slots gegen Gebuehr belegen sollen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosysfinads1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0334",
            "title": "infosysgpt-os3 — CelestiaOS GPT Store",
            "project": "infosysgpt-os3",
            "category": "CelestiaOS GPT Store",
            "cluster": "CelestiaOS GPT Store",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Font Awesome",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "KI-Tools",
              "Produktivität",
              "Entwicklung",
              "Finanzen",
              "Kommunikation"
            ],
            "status": "prototype",
            "overview": "Die Seite fungiert als Katalog für KI-gestützte Tools und Anwendungen, die in verschiedenen Bereichen wie Produktivität, Entwicklung und Finanzen eingesetzt werden können.",
            "elevator_pitch": "Ein zentraler Ort für den Zugriff auf verschiedene KI-Tools.",
            "target_audience": "Entwickler, Unternehmen und Einzelpersonen, die KI-Anwendungen nutzen möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosysgpt-os3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0335",
            "title": "infosyskurs16onsite3engl2kurs4 — AI-gestützter Webentwicklungskurs",
            "project": "infosyskurs16onsite3engl2kurs4",
            "category": "AI-Webinar-Kurs",
            "cluster": "AI-Webinar-Kurs",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN",
              "Font Awesome 6.4.0",
              "JavaScript"
            ],
            "tags": [
              "AI Webinar",
              "Web Development",
              "Online Course",
              "Coding Bootcamp"
            ],
            "status": "prototype",
            "overview": "Diese Webanwendung bietet einen interaktiven, AI-gestützten Kurs zur Webentwicklung mit Videos, Chatbot-Unterstützung und PDF-Materialien. Nutzer benötigen einen Zugangstoken, um auf die Inhalte zuzugreifen.",
            "elevator_pitch": "Interaktiver Kurs zur Webentwicklung mit KI-Unterstützung.",
            "target_audience": "Entwickler, die ihre Fähigkeiten im Webdesign und in der Programmierung erweitern möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosyskurs16onsite3engl2kurs4/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0336",
            "title": "kathbot31 — Katholischer Seelsorger Bot",
            "project": "kathbot31",
            "category": "Domvs-Avrea/Katholischer Seelsorger Bot",
            "cluster": "Domvs-Avrea/Katholischer Seelsorger Bot",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "katholisch",
              "chatbot",
              "gläubige",
              "glaubensfragen",
              "sakramente"
            ],
            "status": "prototype",
            "overview": "Der Katholische Seelsorger Bot ist eine Web-App, die Nutzern durch Fragen und Antworten zu verschiedenen katholischen Themen Unterstützung bietet. Die App behandelt Glaubensfragen, Sakramente, Kirchengeschichte und moralische Themen.",
            "elevator_pitch": "Ein interaktiver Bot, der Gläubigen hilft, Antworten auf ihre Fragen zu finden.",
            "target_audience": "Gläubige und Interessierte an katholischen Themen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/kathbot31/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0337",
            "title": "kathbottts — Katholischer Seelsorgebot",
            "project": "kathbottts",
            "category": "N/A",
            "cluster": "N/A",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "katholische seelsorge",
              "chatbot",
              "KI-unterstützung",
              "glaubensfragen"
            ],
            "status": "prototype",
            "overview": "Der Katholische Seelsorgebot ist eine Web-App, die Benutzern durch vordefinierte Themenbereiche und KI-Unterstützung hilft, spirituelle Fragen zu klären und seelsorgerliche Unterstützung zu erhalten.",
            "elevator_pitch": "Ein interaktiver Bot für spirituelle Unterstützung und Beratung.",
            "target_audience": "Menschen, die seelsorgerliche Hilfe suchen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/kathbottts/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0338",
            "title": "kathsafe6 — Katholischer Seelsorger Bot",
            "project": "kathsafe6",
            "category": "Domvs-Avrea/Katholische Seelsorge",
            "cluster": "Domvs-Avrea/Katholische Seelsorge",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "katholische_seelsorge",
              "chatbot",
              "interaktive_plattform"
            ],
            "status": "prototype",
            "overview": "Der Katholische Seelsorger Bot unterstützt Gläubige durch interaktive Fragen und Antworten zu Glaubensfragen, Sakramenten und moralischen Themen. Die App bietet eine Plattform für persönliche Seelsorge.",
            "elevator_pitch": "Ein interaktiver Bot zur Unterstützung bei Glaubensfragen.",
            "target_audience": "Gläubige, die Rat und Unterstützung suchen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/kathsafe6/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0339",
            "title": "KI-CHECK — ki-check-fragebogen",
            "project": "ki-check-fragebogen",
            "category": "Domvs-Avrea/KI-Check",
            "cluster": "Domvs-Avrea/KI-Check",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Google Fonts Outfit",
              "JetBrains Mono"
            ],
            "tags": [
              "ki-check",
              "ki-einsatz",
              "unternehmen",
              "automatisierung",
              "datennutzung"
            ],
            "status": "prototype",
            "overview": "Der KI-Check von Domvs Avrea O.P.N GmbH bewertet den aktuellen KI-Einsatz von Unternehmen und hilft bei der Auswahl passender Tools. Die Seite enthält statische Fragen, die zur Beurteilung des KI-Readiness beitragen.",
            "elevator_pitch": "Ein interaktives Tool zur Bewertung des KI-Einsatzes in Unternehmen.",
            "target_audience": "Unternehmen, die ihre KI-Strategie verbessern möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/ki-check-fragebogen/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0340",
            "title": "kidz3guide4 — KI für Kinder: Ein Elternratgeber",
            "project": "kidz3guide4",
            "category": "Domvs-Avrea/Kinder und KI",
            "cluster": "Domvs-Avrea/Kinder und KI",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Google Fonts"
            ],
            "tags": [
              "kinder",
              "ki",
              "montessori",
              "elternratgeber",
              "digitale bildung"
            ],
            "status": "prototype",
            "overview": "Ein kostenloser Guide, der Eltern einen Montessori-inspirierten Ansatz zur Einführung von KI in das Kinderzimmer bietet, mit konkreten Vorschlägen für verschiedene Altersstufen.",
            "elevator_pitch": "Ein umfassender Leitfaden für Eltern, um KI kindgerecht zu integrieren.",
            "target_audience": "Eltern, die digitale Bildung für ihre Kinder fördern möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/kidz3guide4/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0341",
            "title": "kundenpraesi-15min — 15-Minuten Kundenpräsentation",
            "project": "kundenpraesi-15min",
            "category": "Domvs-Avrea/Kundenpräsentation",
            "cluster": "Domvs-Avrea/Kundenpräsentation",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome 6.5.1"
            ],
            "tags": [
              "präsentation",
              "vermögenssicherung",
              "hausrat",
              "haftpflicht",
              "e-bikes",
              "altersvorsorge"
            ],
            "status": "prototype",
            "overview": "Die Webapp bietet eine 15-minütige Präsentation, die verschiedene Vermögenssicherungen und Schutzoptionen für Hausrat, Haftpflicht, E-Bikes und Altersvorsorge vorstellt. Die Präsentation ist interaktiv und nutzt JavaScript zur Steuerung der Folien.",
            "elevator_pitch": "Eine schnelle und informative Präsentation für Kunden zu wichtigen Versicherungsthemen.",
            "target_audience": "Versicherungsnehmer und Interessierte an Vermögenssicherungen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/kundenpraesi-15min/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0342",
            "title": "latina-v — LATINA V Klausur Trainer",
            "project": "latina-v-klausur-trainer-ios-css-neu",
            "category": "Domvs-Avrea/LATINA-V",
            "cluster": "Domvs-Avrea/LATINA-V",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "latein",
              "klausur",
              "vokabeln",
              "grammatik",
              "spickzettel"
            ],
            "status": "prototype",
            "overview": "LATINA V ist ein interaktiver Klausur-Trainer für Latein, der Schülern hilft, sich auf Klausuren vorzubereiten, indem er Vokabeln, Grammatik und Satzanalysen bereitstellt.",
            "elevator_pitch": "Ein umfassender Trainer für Latein, der alle wichtigen Aspekte für die Klausur abdeckt.",
            "target_audience": "Schüler und Studierende, die sich auf Latein-Klausuren vorbereiten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/latina-v-klausur-trainer-ios-css-neu/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0343",
            "title": "life-science-cultura — Cultura Terminal",
            "project": "life-science-cultura",
            "category": "Cultura Terminal",
            "cluster": "Cultura Terminal",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "bücher",
              "musik",
              "kulturklassiker",
              "ki-analyse",
              "recherche"
            ],
            "status": "prototype",
            "overview": "Cultura Terminal ist eine Web-App, die Benutzern hilft, Bücher, Musik und Kulturklassiker zu suchen und zu analysieren. Sie nutzt KI-Modelle und verschiedene Datenbanken, um präzise Ergebnisse zu liefern.",
            "elevator_pitch": "Eine intelligente Plattform zur kulturellen Recherche und Analyse.",
            "target_audience": "Kulturinteressierte, Studenten, Forscher.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/life-science-cultura/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0344",
            "title": "magic1 — Magic Scroll UI Chat",
            "project": "magic1",
            "category": "Interaktive Chat-Anwendungen",
            "cluster": "Interaktive Chat-Anwendungen",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "JavaScript",
              "Particles.js"
            ],
            "tags": [
              "magischer Chat",
              "Zauberfunktionen",
              "Sprachausgabe",
              "interaktive UI"
            ],
            "status": "prototype",
            "overview": "Magic Scroll UI Chat ist eine interaktive Webanwendung, die magische Zauber- und Chatfunktionen bietet, mit einem visuellen Zauberbuch-Design und Sprachausgabe.",
            "elevator_pitch": "Ein interaktiver Chatbot, der magische Fragen beantwortet und Zauber generiert.",
            "target_audience": "Fantasy- und Chatbot-Enthusiasten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/magic1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0345",
            "title": "manscript — Kommunikationsskripte für Männer in Beziehungen",
            "project": "manscript",
            "category": "Domvs-Avrea/Kommunikationshilfe",
            "cluster": "Domvs-Avrea/Kommunikationshilfe",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2",
              "Bootstrap Icons",
              "CSS"
            ],
            "tags": [
              "kommunikationsskripte",
              "beziehungen",
              "eifersucht",
              "konfliktloesung",
              "männer"
            ],
            "status": "prototype",
            "overview": "MANSCRIPT bietet praktische Kommunikationsskripte für Männer in Beziehungen, mit einem Fokus auf Themen wie Eifersucht, Neid und Konfliktlösung. Die Seite nutzt Bootstrap für ein responsives Design und enthält interaktive Elemente wie einen Theme Toggle und eine Fortschrittsanzeige.",
            "elevator_pitch": "Praktische Unterstützung für Männer, um Kommunikationsbarrieren in Beziehungen zu überwinden.",
            "target_audience": "Männer in Beziehungen, die an persönlichem Wachstum interessiert sind.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/manscript/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0346",
            "title": "neural1audio — Genitus Inc. - Audio Bot",
            "project": "neural1audio",
            "category": "Genitus Inc.",
            "cluster": "Genitus Inc.",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Materialize CSS",
              "Google Fonts Roboto"
            ],
            "tags": [
              "audio-bot",
              "text-to-audio",
              "financial-analysis",
              "voice-assistant"
            ],
            "status": "prototype",
            "overview": "Die Webapp 'Genitus Inc. - Audio Bot' ist ein Sprachassistent, der Textnachrichten in Audio umwandelt und verschiedene Befehle für Finanzanalysen unterstützt. Sie richtet sich an Nutzer, die Sprachassistenten zur Unterstützung ihrer Finanzanalysen nutzen möchten.",
            "elevator_pitch": "Ein innovativer Audio Bot, der Text in Sprache umwandelt und Finanzanalysen ermöglicht.",
            "target_audience": "Nutzer von Sprachassistenten und Finanzanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neural1audio/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0347",
            "title": "neuralagency — Maßgeschneiderte KI-Lösungen für Unternehmen",
            "project": "neuralagency",
            "category": "Genitus Inc. AI Solutions",
            "cluster": "Genitus Inc. AI Solutions",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "KI-Lösungen",
              "AI-Agentur",
              "Datenanalyse",
              "US-Märkte",
              "EU-Märkte"
            ],
            "status": "prototype",
            "overview": "Die Webseite von Genitus Inc. präsentiert maßgeschneiderte KI-Lösungen für Unternehmen in den US- und EU-Märkten, einschließlich AI-Entwicklung und Datenanalyse.",
            "elevator_pitch": "Bieten Sie Ihrem Unternehmen einen Wettbewerbsvorteil durch maßgeschneiderte KI-Lösungen.",
            "target_audience": "Unternehmen in den US- und EU-Märkten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralagency/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0348",
            "title": "neuralanwalt — KI Anwalts Bot für automatisierte Rechtsberatung",
            "project": "neuralanwalt",
            "category": "KI-Anwaltslösungen",
            "cluster": "KI-Anwaltslösungen",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "KI Anwalts Bot",
              "automatisierte Beratung",
              "Rechtsinformationen",
              "Kanzlei",
              "DSGVO"
            ],
            "status": "prototype",
            "overview": "Die KI Anwalts Bot App ermöglicht Kanzleien, automatisierte Beratung und präzise Rechtsinformationen rund um die Uhr bereitzustellen. Sie nutzt KI-Technologie, um die Effizienz in der Rechtsberatung zu steigern.",
            "elevator_pitch": "Revolutionieren Sie Ihre Kanzlei mit einem KI-gestützten Anwalts-Bot.",
            "target_audience": "Rechtsanwälte und Kanzleien.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralanwalt/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0349",
            "title": "neuralchess1-bigboy — Mobile Chess App",
            "project": "neuralchess1-bigboy",
            "category": "Schach-Apps",
            "cluster": "Schach-Apps",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Chart.js"
            ],
            "tags": [
              "chess",
              "ai",
              "chess-app",
              "online-chess",
              "chess-engine"
            ],
            "status": "prototype",
            "overview": "Die Mobile Chess App ermöglicht es Nutzern, gegen verschiedene KIs mit unterschiedlichen ELO-Werten Schach zu spielen. Die App bietet Funktionen wie das Zurücknehmen von Zügen, das Exportieren des Spielverlaufs und das Wechseln des Spielmodus.",
            "elevator_pitch": "Spiele Schach gegen intelligente KIs und verbessere deine Fähigkeiten.",
            "target_audience": "Schachspieler und -interessierte.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralchess1-bigboy/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0350",
            "title": "neuralchessstockfish8 — Schach gegen Stockfish spielen",
            "project": "neuralchessstockfish8",
            "category": "Schach-Apps",
            "cluster": "Schach-Apps",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Stockfish"
            ],
            "tags": [
              "chess",
              "stockfish",
              "chess-engine",
              "human-vs-computer",
              "chess-app",
              "online-chess",
              "chess-moves",
              "PGN-export"
            ],
            "status": "prototype",
            "overview": "Eine interaktive Schach-Webapp, die es Nutzern ermöglicht, gegen die Stockfish-Schach-Engine zu spielen. Die App bietet eine benutzerfreundliche Oberfläche und die Möglichkeit, Spiele im PGN-Format zu exportieren.",
            "elevator_pitch": "Spiele Schach gegen die leistungsstarke Stockfish-Engine und verbessere deine Fähigkeiten.",
            "target_audience": "Schachspieler, die gegen KI antreten möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralchessstockfish8/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0351",
            "title": "neuraldeep1 — AI-gestützter Forschungsbot",
            "project": "neuraldeep1",
            "category": "AI-gestützte Forschung",
            "cluster": "AI-gestützte Forschung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Anthropic API"
            ],
            "tags": [
              "AI-Forschung",
              "wissenschaftliche Recherche",
              "Zitierverfolgung",
              "Claude AI"
            ],
            "status": "prototype",
            "overview": "Neural Deep Research Bot ist eine AI-gestützte Webapp, die Funktionen wie Websuche, Code-Analyse und Zitierverfolgung bietet. Sie nutzt die Anthropic API und richtet sich an Forscher und Wissenschaftler.",
            "elevator_pitch": "Ein umfassendes Tool für wissenschaftliche Recherche, das AI nutzt, um den Rechercheprozess zu optimieren.",
            "target_audience": "Forscher, Wissenschaftler und Studierende.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuraldeep1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0352",
            "title": "neuraldomus1 — AI-Technologie-Holding für Finanzmärkte",
            "project": "neuraldomus1",
            "category": "Domvs-Avrea/AI-Technologie-Holding",
            "cluster": "Domvs-Avrea/AI-Technologie-Holding",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome 6.4.0",
              "Google Fonts Inter",
              "Orbitron"
            ],
            "tags": [
              "AI-Technologie",
              "Finanzmärkte",
              "Beratungsdienste",
              "KI-Software"
            ],
            "status": "prototype",
            "overview": "Die Webseite präsentiert DOMVS AVREA O.P.N, eine AI-Technologie-Holding, die sich auf Finanzmärkte und Technologielösungen spezialisiert hat. Sie bietet Zugang zu verschiedenen KI-Tools und Plattformen.",
            "elevator_pitch": "Eine Plattform für innovative KI-Technologien im Finanzsektor.",
            "target_audience": "Unternehmen und Investoren im Bereich Finanztechnologie.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuraldomus1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0353",
            "title": "neuraldomuslight — AI-Technologie Holding-Gesellschaft",
            "project": "neuraldomuslight",
            "category": "Domvs-Avrea/AI-Technologie",
            "cluster": "Domvs-Avrea/AI-Technologie",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3"
            ],
            "tags": [
              "AI-Technologie",
              "Geschäftslösungen",
              "CelestiaOS",
              "GlobalFintech"
            ],
            "status": "prototype",
            "overview": "Die Webseite präsentiert DOMVS AVREA O.P.N, eine führende AI-Technologie Holding-Gesellschaft, die innovative Geschäftslösungen in verschiedenen Branchen anbietet. Sie enthält visuelle Effekte und Animationen, um die Benutzererfahrung zu verbessern.",
            "elevator_pitch": "Innovative AI-Technologie für Geschäftslösungen.",
            "target_audience": "Unternehmen und Investoren im Bereich AI und Technologie.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuraldomuslight/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0354",
            "title": "neuralfitness — AI-gestützte Fitness-App",
            "project": "neuralfitness",
            "category": "Fitness-Apps",
            "cluster": "Fitness-Apps",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5",
              "Font Awesome 6",
              "Google Fonts Montserrat",
              "Oswald"
            ],
            "tags": [
              "fitness",
              "ai-fitness",
              "workout",
              "personalisierte-workouts",
              "fitness-coach"
            ],
            "status": "prototype",
            "overview": "GENITUS FITNESS ist eine moderne Fitnessstudio-Webapp, die Benutzern eine AI-gestützte Fitness-Erfahrung bietet. Sie ermöglicht den Zugang zu einer umfangreichen Übungsbibliothek, einem personalisierten Workout-Planer und einem AI-Fitness-Coach.",
            "elevator_pitch": "Eine innovative Fitness-App, die AI nutzt, um individuelle Trainingspläne zu erstellen.",
            "target_audience": "Fitness-Enthusiasten und Menschen, die personalisierte Trainingslösungen suchen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralfitness/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0355",
            "title": "neuralhang — Canvas Hangman - Enhanced Edition",
            "project": "neuralhang",
            "category": "Interaktive Lernspiele",
            "cluster": "Interaktive Lernspiele",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "hangman",
              "wortspiel",
              "interaktiv",
              "lernen",
              "technologie"
            ],
            "status": "prototype",
            "overview": "Canvas Hangman - Enhanced Edition ist ein interaktives Wortspiel, das auf einem HTML5-Canvas basiert und verschiedene Kategorien wie Programmierung, Technologie und Wissenschaft abdeckt. Es richtet sich an Programmierer und Technologiebegeisterte und fördert das Lernen durch spielerische Interaktion.",
            "elevator_pitch": "Ein unterhaltsames und lehrreiches Hangman-Spiel für Technikfans.",
            "target_audience": "Programmierer, Technikinteressierte, Lernende.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralhang/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0356",
            "title": "neuraljobs — AI-gestützte Job-Suchplattform",
            "project": "neuraljobs",
            "category": "AI-Job-Plattformen",
            "cluster": "AI-Job-Plattformen",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "AI-Jobs",
              "Jobsuche",
              "Tech-Jobs",
              "Karriere",
              "Stellenangebote"
            ],
            "status": "prototype",
            "overview": "GENITUS ist eine fortschrittliche Job-Suchplattform, die speziell für AI-Engineer, Machine-Learning-Entwickler und andere Tech-Jobs entwickelt wurde. Sie bietet eine intelligente Jobsuche mit Filtermöglichkeiten und speichert gefundene Stellenangebote.",
            "elevator_pitch": "Eine AI-gestützte Plattform, die Ihnen hilft, die besten Tech-Jobs zu finden.",
            "target_audience": "Fachkräfte im Bereich AI und Machine Learning.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuraljobs/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0357",
            "title": "neuralkath — Katholisch-KI Dashboard",
            "project": "neuralkath",
            "category": "Katholische KI-Plattform",
            "cluster": "Katholische KI-Plattform",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Font Awesome 6.4.0",
              "Google Fonts Inter",
              "Orbitron"
            ],
            "tags": [
              "katholische KI",
              "digitale Enzyklopädie",
              "KI-Assistent",
              "spirituelle Ressourcen"
            ],
            "status": "prototype",
            "overview": "Das Katholisch-KI Dashboard ist eine zentrale Plattform, die Gläubige mit digitalen Enzyklopädien, KI-Assistenten und spirituellen Ressourcen unterstützt.",
            "elevator_pitch": "Eine umfassende Plattform für katholische KI-Tools.",
            "target_audience": "Katholische Gläubige und Interessierte.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralkath/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0358",
            "title": "neurallebureaubasic1 — AI Office Suite",
            "project": "neurallebureaubasic1",
            "category": "AI Office Suite",
            "cluster": "AI Office Suite",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Ace Editor"
            ],
            "tags": [
              "office-suite",
              "textverarbeitung",
              "tabellenkalkulation",
              "html-editor",
              "notizen"
            ],
            "status": "prototype",
            "overview": "Die AI Office Suite ist eine eigenständige Webanwendung, die eine vollständige Office-Suite mit Funktionen für Textverarbeitung, Tabellenkalkulation, HTML-Editor, Notizen, Ausgaben, Bilanz und Tagebuch bietet.",
            "elevator_pitch": "Eine umfassende, KI-gestützte Office-Suite für alle Bürobedürfnisse.",
            "target_audience": "Berufstätige, Studenten, Kreative.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neurallebureaubasic1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0359",
            "title": "neurallern — Genitus AI Learning Platform",
            "project": "neurallern",
            "category": "Genitus-Learning",
            "cluster": "Genitus-Learning",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "ai-courses",
              "programming",
              "language-processing",
              "design"
            ],
            "status": "prototype",
            "overview": "Die Plattform Genitus - Learning bietet fortschrittliche KI-Kurse an, die Themen wie Programmierung, Sprachverarbeitung und KI-Design abdecken. Sie richtet sich an Innovatoren, Kreative und Technologieführer.",
            "elevator_pitch": "Lernen Sie die Zukunft der Technologie mit unseren innovativen KI-Kursen.",
            "target_audience": "Innovatoren, Kreative, Tech-Führer.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neurallern/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0360",
            "title": "neurallingua — AI Lingua Sprachlernplattform",
            "project": "neurallingua",
            "category": "Sprachlernplattform",
            "cluster": "Sprachlernplattform",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5",
              "Font Awesome 6.0.0",
              "html2canvas"
            ],
            "tags": [
              "sprachlernen",
              "vokabeltest",
              "sprachassistent",
              "spiel",
              "mehrsprachig"
            ],
            "status": "prototype",
            "overview": "AI Lingua ist eine interaktive Plattform zur Verbesserung der Sprachkenntnisse in mehreren Sprachen. Sie umfasst Vokabeltests, Sprachassistenten und Lernspiele, die durch KI unterstützt werden.",
            "elevator_pitch": "Eine innovative Plattform, die das Erlernen von Sprachen durch interaktive Elemente und KI unterstützt.",
            "target_audience": "Sprachlerner aller Niveaus, von Anfängern bis Fortgeschrittenen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neurallingua/project.md",
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            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0361",
            "title": "neuralmatrix — Perplexity Matrix: KI-gestützte Websuche und Chat-Interface",
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            "category": "KI-gestützte Webanwendungen",
            "cluster": "KI-gestützte Webanwendungen",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre.css",
              "Remix Icons"
            ],
            "tags": [
              "KI",
              "Websuche",
              "Chat-Interface",
              "Matrix-Design",
              "Perplexity AI"
            ],
            "status": "prototype",
            "overview": "Perplexity Matrix ist eine interaktive Web-App, die Nutzern ermöglicht, Fragen zu stellen und die Websuche durchzuführen. Sie verfügt über ein Matrix-Design und bietet Anpassungsoptionen für Animationen und API-Schlüsselverwaltung.",
            "elevator_pitch": "Eine innovative Plattform für KI-gestützte Websuche und Chat-Interaktion.",
            "target_audience": "Technikaffine Nutzer und Interessierte an KI-Technologien.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralmatrix/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0362",
            "title": "neuraloffice2 — KI-gestützte Office Suite",
            "project": "neuraloffice2",
            "category": "KI-Office Suite",
            "cluster": "KI-Office Suite",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "KI-Office",
              "Textverarbeitung",
              "Tabellenkalkulation",
              "Notizen",
              "Ausgabenverfolgung",
              "Tagebuch",
              "KI-Assistent"
            ],
            "status": "prototype",
            "overview": "Die AI Office Suite Pro ist eine umfassende Webanwendung, die Funktionen für Textverarbeitung, Tabellenkalkulation, Notizen, Ausgabenverfolgung und persönliche Tagebücher bietet. Sie integriert KI-gestützte Features wie Textgenerierung und Übersetzung.",
            "elevator_pitch": "Eine vielseitige Office Suite, die KI nutzt, um die Produktivität zu steigern.",
            "target_audience": "Berufstätige, Studierende und alle, die eine effiziente Büroanwendung suchen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuraloffice2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0363",
            "title": "neuralpersonal — Persönlicher Aktienanalyse-Chatbot",
            "project": "neuralpersonal",
            "category": "Domvs-Avrea/AI-Personal-Assistant",
            "cluster": "Domvs-Avrea/AI-Personal-Assistant",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome",
              "JavaScript"
            ],
            "tags": [
              "chatbot",
              "aktienanalyse",
              "KI",
              "personal assistant",
              "finanzanalyse"
            ],
            "status": "prototype",
            "overview": "DOMVS AVREA O.P.N ist ein persönlicher Chatbot, der Echtzeit-Marktinformationen bietet und KI-gestützte Unterstützung für Aktienanalysen bereitstellt.",
            "elevator_pitch": "Ein intelligenter Chatbot für die Analyse von Aktien mit Echtzeitdaten.",
            "target_audience": "Investoren und Finanzanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralpersonal/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0364",
            "title": "neuralpowerpoint — KI-gestützte Präsentationserstellung",
            "project": "neuralpowerpoint",
            "category": "Genitus Inc.",
            "cluster": "Genitus Inc.",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Mistral AI API"
            ],
            "tags": [
              "KI-Präsentationen",
              "AI-Slides",
              "Mistral AI",
              "Präsentationen erstellen"
            ],
            "status": "prototype",
            "overview": "Genitus Inc. AI Slides ist eine Web-App, die es Nutzern ermöglicht, Präsentationen mithilfe von KI zu erstellen. Sie bietet verschiedene Themen und Designs an und nutzt die Mistral AI API zur Inhaltserstellung.",
            "elevator_pitch": "Erstellen Sie beeindruckende Präsentationen mit KI-Unterstützung.",
            "target_audience": "Geschäftsleute, Studenten, Lehrer.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralpowerpoint/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0365",
            "title": "neuralrecorder — Genitus Inc. Recorder Suite",
            "project": "neuralrecorder",
            "category": "Genitus Inc. Recorder Suite",
            "cluster": "Genitus Inc. Recorder Suite",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "recording",
              "webcam",
              "screen",
              "webinar",
              "AI",
              "text-to-speech",
              "speech-to-text"
            ],
            "status": "prototype",
            "overview": "Die Genitus Inc. Recorder Suite ist eine professionelle Aufzeichnungssoftware, die Webcam-, Bildschirm- und Webinar-Aufnahmen ermöglicht und KI-gestützte Text-zu-Sprache sowie Sprach-zu-Text-Funktionen bietet.",
            "elevator_pitch": "Eine umfassende Lösung für Aufzeichnungen mit KI-Integration.",
            "target_audience": "Fachleute und Unternehmen, die Aufzeichnungen für Schulungen oder Präsentationen benötigen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralrecorder/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0366",
            "title": "neuralreplitindex1 — Genitus System Nexus",
            "project": "neuralreplitindex1",
            "category": "Genitus System Nexus",
            "cluster": "Genitus System Nexus",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Font Awesome",
              "Google Fonts"
            ],
            "tags": [
              "AI-Tools",
              "Produktivität",
              "Finanzen",
              "Bildung",
              "Kreativität"
            ],
            "status": "prototype",
            "overview": "Die Web-App \"Genitus System Nexus\" ist eine Sammlung von AI-gestützten Tools, die in verschiedenen Kategorien wie Produktivität, Finanzen und Kreativität organisiert sind. Sie bietet eine ansprechende Benutzeroberfläche mit dynamischen App-Karten.",
            "elevator_pitch": "Eine zentrale Anlaufstelle für verschiedene AI-gestützte Anwendungen zur Steigerung von Produktivität und Kreativität.",
            "target_audience": "Nutzer, die an AI-Tools interessiert sind.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralreplitindex1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0367",
            "title": "neuralscetchtocode — AI-gestütztes Design-Tool zur Umwandlung von Skizzen in HTML-Code",
            "project": "neuralscetchtocode",
            "category": "AI-Design-Tools",
            "cluster": "AI-Design-Tools",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "AI-Design-Tool",
              "Skizzen in Code",
              "HTML-Generator",
              "Webdesign",
              "KI-gestützte Entwicklung"
            ],
            "status": "prototype",
            "overview": "Sketch to Code ist ein AI-gestützter Design-Tool, das es Nutzern ermöglicht, handgezeichnete Skizzen in HTML-Code umzuwandeln. Die App bietet eine einfache Oberfläche zum Zeichnen und Generieren von Webseiten-Code.",
            "elevator_pitch": "Verwandeln Sie Ihre Skizzen in produktionsbereiten HTML-Code mit KI-Technologie.",
            "target_audience": "Webdesigner, Entwickler, Kreative.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralscetchtocode/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0368",
            "title": "neuralstore — GENITUS AI STORE",
            "project": "neuralstore",
            "category": "KI-Anwendungen",
            "cluster": "KI-Anwendungen",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Font Awesome 6.4.0",
              "Google Fonts Inter",
              "Orbitron"
            ],
            "tags": [
              "ki-apps",
              "produktivitaet",
              "kreativitaet",
              "finanz-tools",
              "entwicklungs-tools"
            ],
            "status": "prototype",
            "overview": "Der GENITUS AI STORE präsentiert eine Auswahl an hochwertigen KI-Anwendungen, die darauf abzielen, die Produktivität und Kreativität der Benutzer zu steigern. Die Seite bietet eine kuratierte Sammlung von Tools für verschiedene Anwendungsbereiche wie Finanzen und Entwicklung.",
            "elevator_pitch": "Entdecke leistungsstarke KI-Tools, die deine Produktivität und Kreativität fördern.",
            "target_audience": "Fachleute und Unternehmen, die an KI-Lösungen interessiert sind.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralstore/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0369",
            "title": "neuralsudoku — Sudoku Master",
            "project": "neuralsudoku",
            "category": "Sudoku-Lösungswerkzeuge",
            "cluster": "Sudoku-Lösungswerkzeuge",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS"
            ],
            "tags": [
              "sudoku",
              "rätsel",
              "lösung",
              "generierung",
              "hilfsfunktionen"
            ],
            "status": "prototype",
            "overview": "Sudoku Master ist eine Web-App zur Lösung von Sudoku-Rätseln mit verschiedenen Schwierigkeitsgraden. Sie bietet Funktionen zum Generieren von Rätseln, zur Eingabe von Zahlen, zur Nutzung von Notizen und zur Anzeige von Tipps.",
            "elevator_pitch": "Eine intelligente Lösung für Sudoku-Enthusiasten, die sowohl Rätsel generiert als auch Lösungen bereitstellt.",
            "target_audience": "Sudoku-Spieler und Rätsel-Liebhaber.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralsudoku/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0370",
            "title": "neuralsuno — KI-Musik Generator",
            "project": "neuralsuno",
            "category": "KI-Musik-Generator",
            "cluster": "KI-Musik-Generator",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "ki-musik",
              "lyrics-generator",
              "suno-api",
              "musikproduktion"
            ],
            "status": "prototype",
            "overview": "Suno Studio Pro ist eine Webapp zur Erstellung von Musik und Lyrics mit Hilfe von KI. Nutzer können Musik generieren, Lyrics erstellen und Projekte verwalten.",
            "elevator_pitch": "Eine innovative Plattform zur Erstellung von Musik und Texten durch KI.",
            "target_audience": "Musikproduzenten, Songwriter, Kreative.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralsuno/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0371",
            "title": "neuralvibe1 — Online-Kurs zur Webentwicklung mit AI-Unterstützung",
            "project": "neuralvibe1",
            "category": "Genitus Inc.",
            "cluster": "Genitus Inc.",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN"
            ],
            "tags": [
              "online-course",
              "AI-support",
              "career-change",
              "portfolio-projects"
            ],
            "status": "prototype",
            "overview": "Die Webseite bietet einen 10-stündigen Online-Kurs zur Webentwicklung, unterstützt durch AI, mit Portfolio-Projekten und einem Zertifikat. Es sind keine Programmierkenntnisse erforderlich, was die Zielgruppe erweitert.",
            "elevator_pitch": "Transformiere deine Karriere in wenigen Wochen mit einem AI-unterstützten Online-Kurs.",
            "target_audience": "Menschen, die in die Webentwicklung einsteigen möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralvibe1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0372",
            "title": "neuralvibewebinareng — Online-Kurs zur Erstellung der ersten Website mit KI-Unterstützung",
            "project": "neuralvibewebinareng",
            "category": "(nicht angegeben)",
            "cluster": "(nicht angegeben)",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "JavaScript"
            ],
            "tags": [
              "online-course",
              "ai-support",
              "web-development",
              "career",
              "beginner"
            ],
            "status": "prototype",
            "overview": "Die Webseite bietet einen 10-stündigen Online-Kurs, der es ermöglicht, die erste Website zu erstellen, ohne Programmierkenntnisse zu benötigen. Der Kurs verspricht eine Karrierechance innerhalb weniger Wochen.",
            "elevator_pitch": "Erstellen Sie Ihre erste Website mit KI-Hilfe in nur 10 Stunden.",
            "target_audience": "Programmieranfänger und Berufseinsteiger.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralvibewebinareng/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0373",
            "title": "neuralwiki — KI-gestützter Wikipedia-Generator",
            "project": "neuralwiki",
            "category": "KI-gestützte Wissensgenerierung",
            "cluster": "KI-gestützte Wissensgenerierung",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "WikiBot",
              "KI",
              "Wissensdatenbank",
              "Artikelgenerator"
            ],
            "status": "prototype",
            "overview": "NEURALwiki ist eine Webanwendung, die mithilfe von KI Wikipedia-Artikel zu verschiedenen Themen generiert. Nutzer können Themen suchen oder aus Kategorien wählen.",
            "elevator_pitch": "Generieren Sie mühelos Wikipedia-Artikel zu Ihren Interessensgebieten.",
            "target_audience": "Wissenssuchende, Studenten, Forscher.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralwiki/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0374",
            "title": "neuralzitate — Katholische Weisheits-KI zur Generierung von Zitaten",
            "project": "neuralzitate",
            "category": "Katholische Weisheits-KI",
            "cluster": "Katholische Weisheits-KI",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "keine JS-Funktionen"
            ],
            "tags": [
              "katholische Zitate",
              "KI",
              "Inspiration",
              "Weisheiten"
            ],
            "status": "prototype",
            "overview": "Die Anwendung generiert inspirierende katholische Zitate aus der Heiligen Schrift, Heiligen, Geschichte und Wissenschaft mithilfe von KI-Technologie.",
            "elevator_pitch": "Inspirierende Zitate für Gläubige und Interessierte an katholischer Weisheit.",
            "target_audience": "Katholische Gemeinschaft, Bildungsinstitutionen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralzitate/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0375",
            "title": "nexus-ai-games — KI-gestützte Spiele-Plattform",
            "project": "nexus-ai-games",
            "category": "KI-gestützte Spiele-Plattform",
            "cluster": "KI-gestützte Spiele-Plattform",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome 6.4.0",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "ki-spiele",
              "online-spiele",
              "gaming-plattform",
              "sichere-authentifizierung"
            ],
            "status": "prototype",
            "overview": "NEXUS AI GAMES ist eine Plattform mit über 40 KI-gestützten Spielen, die in elf Kategorien unterteilt sind. Benutzer müssen sich authentifizieren, um auf die Spiele zugreifen zu können.",
            "elevator_pitch": "Eine umfassende Plattform für KI-gestützte Spiele, die ein sicheres und unterhaltsames Spielerlebnis bietet.",
            "target_audience": "Gaming-Enthusiasten und KI-Interessierte.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/nexus-ai-games/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0376",
            "title": "novedas1 — Genitus Inc. AI Consulting",
            "project": "novedas1",
            "category": "Genitus Inc.",
            "cluster": "Genitus Inc.",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Google Fonts Inter"
            ],
            "tags": [
              "AI Consulting",
              "AI Solutions",
              "Effizienzsteigerung",
              "Wachstum",
              "Unternehmen"
            ],
            "status": "prototype",
            "overview": "Die Webseite von Genitus Inc. bietet KI-Beratung und -Lösungen an, um Effizienz zu steigern und Wachstumspotenziale zu nutzen. Sie enthält eine ansprechende Benutzeroberfläche mit verschiedenen Sektionen, die Dienstleistungen und Lösungen präsentieren.",
            "elevator_pitch": "Revolutionieren Sie Ihr Unternehmen mit maßgeschneiderten KI-Lösungen.",
            "target_audience": "Unternehmen in den USA und Europa.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/novedas1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0377",
            "title": "orbitron-maps-2 — AI-gestützter Geospatial-Navigator",
            "project": "orbitron-maps-2",
            "category": "Geospatial Tools",
            "cluster": "Geospatial Tools",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "JWT-Authentifizierung"
            ],
            "tags": [
              "geospatial",
              "navigator",
              "AI",
              "kartendarstellungen",
              "JWT"
            ],
            "status": "prototype",
            "overview": "ORBITRON MAPS ist ein interaktiver Geospatial-Navigator, der verschiedene Kartendarstellungen bietet und eine Passwort-Authentifizierung erfordert. Die Anwendung richtet sich an Geospatial-Experten und Kartografen.",
            "elevator_pitch": "Ein AI-gestützter Navigator für präzise Geodaten und Kartendarstellungen.",
            "target_audience": "Geospatial-Experten, Kartografen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/orbitron-maps-2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0378",
            "title": "petzo11claude4 — KI-gestützte Code-Generierung",
            "project": "petzo11claude4",
            "category": "Domvs-Avrea/AI-Entwicklungswerkzeuge",
            "cluster": "Domvs-Avrea/AI-Entwicklungswerkzeuge",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Google Fonts"
            ],
            "tags": [
              "ai-code-generation",
              "developer-tools",
              "productivity",
              "error-fixing"
            ],
            "status": "prototype",
            "overview": "LeCode AI ist eine Webanwendung, die Entwicklern hilft, Code schneller zu generieren, Fehler zu beheben und neue Features zu erstellen. Die App richtet sich an Entwickler und Teams, die ihre Produktivität steigern möchten.",
            "elevator_pitch": "Transformiere deinen Entwicklungsworkflow mit KI-gestützter Code-Generierung.",
            "target_audience": "Entwickler und Software-Teams.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/petzo11claude4/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0379",
            "title": "petzo3 — CelestiaOS GPT Store",
            "project": "petzo3",
            "category": "CelestiaOS GPT Store",
            "cluster": "CelestiaOS GPT Store",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome",
              "Google Fonts"
            ],
            "tags": [
              "CelestiaOS",
              "GPT Store",
              "KI-Assistenten",
              "Web-App",
              "Mobile-Optimierung"
            ],
            "status": "prototype",
            "overview": "Die CelestiaOS GPT Store-App bietet eine Standalone-Version des CelestiaOS GPT Stores, die eine Sammlung von GPT-Bots anzeigt und ermöglicht, diese zu durchsuchen und zu verwenden.",
            "elevator_pitch": "Entdecken und nutzen Sie eine Vielzahl von GPT-Bots in einer benutzerfreundlichen Umgebung.",
            "target_audience": "Nutzer von KI-Assistenten und GPT-Technologie.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/petzo3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0380",
            "title": "quest — Interaktive RPG-Dialoge und Quests",
            "project": "quest",
            "category": "Interaktive RPG-Tools",
            "cluster": "Interaktive RPG-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Semantic UI",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "RPG",
              "Dialoge",
              "Quests",
              "Abenteuer",
              "Interaktivität"
            ],
            "status": "prototype",
            "overview": "Die Webapp ermöglicht es Nutzern, in Rollenspielen mit einem Questgeber zu interagieren, Inventare hochzuladen und ihre Abenteuer fortzusetzen. Sie bietet eine interaktive Benutzeroberfläche für Dialoge.",
            "elevator_pitch": "Erlebe interaktive Abenteuer in einer RPG-Welt durch Dialoge und Quests.",
            "target_audience": "Rollenspiel-Enthusiasten und Spieler.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/quest/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0381",
            "title": "repos-agency-deutsch — AI Consulting & Solutions",
            "project": "repos-agency-deutsch",
            "category": "Genitus Inc. AI Consulting",
            "cluster": "Genitus Inc. AI Consulting",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Google Fonts",
              "keine JS-Logik"
            ],
            "tags": [
              "AI Consulting",
              "automatisierter Vertrieb",
              "Kundenerkennung",
              "Conversion-Rate"
            ],
            "status": "prototype",
            "overview": "Die Seite präsentiert Genitus Inc., ein Unternehmen, das AI-basierte Consulting- und Lösungsdienstleistungen anbietet, um Unternehmen bei der Automatisierung ihres Vertriebs und der Kundenerkennung zu unterstützen.",
            "elevator_pitch": "AI-gestützte Lösungen zur Vertriebsautomatisierung.",
            "target_audience": "Unternehmen, die ihre Vertriebsprozesse optimieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/repos-agency-deutsch/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0382",
            "title": "senior1 — KI-Club für Senioren",
            "project": "senior1",
            "category": "KI-Club für Senioren",
            "cluster": "KI-Club für Senioren",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome 6.4.0",
              "Google Fonts"
            ],
            "tags": [
              "ki-workshops",
              "senioren",
              "künstliche-intelligenz",
              "düsseldorf",
              "sprachassistenten"
            ],
            "status": "prototype",
            "overview": "Die Seite bietet Informationen über den KI-Club für Senioren in Düsseldorf, der Workshops zu Themen wie Sprachassistenten und Foto-Bearbeitung anbietet. Sie richtet sich an Menschen ab 60 Jahren und fördert den Umgang mit Künstlicher Intelligenz.",
            "elevator_pitch": "Geduldige KI-Workshops für Senioren, um den Umgang mit moderner Technologie zu erlernen.",
            "target_audience": "Senioren ab 60 Jahren.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/senior1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0383",
            "title": "server6-detectiv8 — NOIR DETECTIVE",
            "project": "server6-detectiv8",
            "category": "Domvs-Avrea/Detektiv-App",
            "cluster": "Domvs-Avrea/Detektiv-App",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Alpine.js",
              "Interact.js",
              "jsPDF",
              "html2canvas"
            ],
            "tags": [
              "detektiv",
              "kriminalfälle",
              "interaktive App",
              "minispiele",
              "musik"
            ],
            "status": "prototype",
            "overview": "NOIR DETECTIVE ist eine interaktive Webanwendung für Privatdetektive, die Kriminalfälle analysiert, Verdächtige verhört und Beweise verwaltet. Sie bietet auch Minispiele und eine Musikabspiel-Funktion.",
            "elevator_pitch": "Eine umfassende Lösung für Privatdetektive zur Fallanalyse und Beweishandhabung.",
            "target_audience": "Privatdetektive und Kriminalanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/server6-detectiv8/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0384",
            "title": "servertestrapid1 — Multi-Service API Tester",
            "project": "servertestrapid1",
            "category": "API-Test-Tools",
            "cluster": "API-Test-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "API-Tester",
              "RAPIDAPI",
              "Jobs",
              "Yahoo Finance",
              "Google Search",
              "Web Scraper",
              "Amazon"
            ],
            "status": "prototype",
            "overview": "Die Webapp ermöglicht den Test von 12 verschiedenen RAPIDAPI-Endpunkten, darunter Jobs, Yahoo Finance, Google Search, Web Scraper und Amazon. Nutzer können verschiedene APIs testen und die Ergebnisse anzeigen lassen.",
            "elevator_pitch": "Ein vielseitiges Tool zum Testen von APIs in einer benutzerfreundlichen Oberfläche.",
            "target_audience": "Entwickler und Datenanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/servertestrapid1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0385",
            "title": "slides-prep — Präsentationstool für Finanzlösungen",
            "project": "slides-prep",
            "category": "Domvs-Avrea/Advisor-Prep",
            "cluster": "Domvs-Avrea/Advisor-Prep",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN",
              "Font Awesome 6.5.1",
              "Google Fonts Orbitron",
              "Inter"
            ],
            "tags": [
              "presentation-tool",
              "finance-solutions",
              "portfolios",
              "target-audience"
            ],
            "status": "prototype",
            "overview": "Advisor Prep ist eine Webanwendung zur Präsentation von Finanzlösungen und Portfolios für Zielgruppen wie Ärzte, Anwälte, Unternehmer und Immobilieninvestoren. Die Anwendung nutzt interaktive Slides zur Darstellung der Inhalte.",
            "elevator_pitch": "Ein interaktives Tool zur Präsentation von maßgeschneiderten Finanzlösungen.",
            "target_audience": "Finanzberater, die ihre Angebote präsentieren möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/slides-prep/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0386",
            "title": "smart-chatbot-v4-final — Smart Chatbot v4",
            "project": "smart-chatbot-v4-final",
            "category": "Domvs-Avrea/Smart Chatbot",
            "cluster": "Domvs-Avrea/Smart Chatbot",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Font Awesome 6.0.0"
            ],
            "tags": [
              "chatbot",
              "KI",
              "FAQ",
              "Kundensupport",
              "hybrid"
            ],
            "status": "prototype",
            "overview": "Smart Chatbot v4 ist eine Web-App, die Kundenfragen mithilfe einer Kombination aus FAQ-Datenbank und KI-Antworten beantwortet. Die App bietet verschiedene Modi für FAQ-basierte Antworten, reine KI-Antworten und eine hybride Kombination.",
            "elevator_pitch": "Ein intelligenter Chatbot, der Kundenanfragen effizient beantwortet.",
            "target_audience": "Unternehmen, die automatisierten Kundensupport anbieten möchten.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/smart-chatbot-v4-final/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0387",
            "title": "story — StoryTeller Bot Chat",
            "project": "story",
            "category": "Interaktive Geschichten",
            "cluster": "Interaktive Geschichten",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "DaisyUI"
            ],
            "tags": [
              "interaktive geschichten",
              "storyteller",
              "bot chat",
              "geschichten erstellen",
              "geschichten erkunden",
              "geschichten teilen"
            ],
            "status": "prototype",
            "overview": "Der StoryTeller Bot Chat ist eine interaktive Web-App, die es Benutzern ermöglicht, ihre eigenen Geschichten zu erstellen und zu erkunden. Die App bietet verschiedene Themen und Funktionen, um Geschichten zu schreiben und zu teilen.",
            "elevator_pitch": "Erstelle und erkunde interaktive Geschichten mit einem KI-gestützten Bot.",
            "target_audience": "Kreative Nutzer, Geschichtenerzähler und Lernende.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/story/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0388",
            "title": "systemisches-coaching-komplett (5) — Systemisches Coaching Kompendium",
            "project": "systemisches-coaching-komplett-5",
            "category": "Domvs-Avrea/Systemisches Coaching",
            "cluster": "Domvs-Avrea/Systemisches Coaching",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Google Fonts Crimson Pro",
              "IBM Plex Mono"
            ],
            "tags": [
              "systemisches coaching",
              "coaching-theorie",
              "coaching-methoden",
              "fallstudien"
            ],
            "status": "prototype",
            "overview": "Das Systemische Coaching-Kompendium bietet eine umfassende Theorie und Praxisanleitung für systemisches Coaching, einschließlich Grundlagen, Methoden und Fallstudien. Es ist als interaktive Ressource konzipiert, die durch eine Navigation unterstützt wird.",
            "elevator_pitch": "Ein umfassendes Kompendium für systemisches Coaching, das Theorie und Praxis vereint.",
            "target_audience": "Coaches, Therapeuten, Interessierte an systemischem Coaching.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/systemisches-coaching-komplett-5/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0389",
            "title": "turbosafe2 — KI-Assistent Web-App",
            "project": "turbosafe2",
            "category": "Genitus Inc./KI-Assistent",
            "cluster": "Genitus Inc./KI-Assistent",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.1.1",
              "Font Awesome 6.0.0",
              "Google Fonts Orbitron",
              "Prism.js"
            ],
            "tags": [
              "KI-Assistent",
              "OpenAI",
              "Mistral",
              "Chat",
              "Bildgenerierung"
            ],
            "status": "prototype",
            "overview": "TURBOsafe2 ist eine Web-App von Genitus Inc., die als KI-Assistent fungiert. Sie integriert OpenAI und Mistral und bietet Funktionen wie Chat, Code-Formatierung und Bildgenerierung.",
            "elevator_pitch": "Ein schneller KI-Assistent für verschiedene Anwendungsfälle.",
            "target_audience": "Entwickler und Nutzer, die KI-gestützte Tools benötigen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/turbosafe2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0390",
            "title": "turbosafe3white — GPTurbo KI-Assistent",
            "project": "turbosafe3white",
            "category": "Genitus Inc./GPTurbo",
            "cluster": "Genitus Inc./GPTurbo",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.1.1",
              "Font Awesome 6.0.0",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "ki-assistent",
              "openai",
              "chat",
              "bildgenerierung",
              "web-app"
            ],
            "status": "prototype",
            "overview": "GPTurbo ist eine Web-App von Genitus Inc., die als schnelle KI-Assistentin dient. Sie integriert OpenAI und Mistral und bietet Funktionen wie Chat, Code-Formatierung und Bildgenerierung.",
            "elevator_pitch": "Ein schneller KI-Assistent für verschiedene Aufgaben.",
            "target_audience": "Entwickler, Kreative, Technikbegeisterte.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/turbosafe3white/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0391",
            "title": "turbosafebasic — KI-Chatbot-Interface",
            "project": "turbosafebasic",
            "category": "Domus-Avrea/Chatbot-Interface",
            "cluster": "Domus-Avrea/Chatbot-Interface",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.1.1",
              "Font Awesome 6.0.0"
            ],
            "tags": [
              "chatbot",
              "KI",
              "Marktanalyse",
              "medizinische Beratung"
            ],
            "status": "prototype",
            "overview": "Das Projekt ist ein Web-Chatbot-Interface, das Benutzern ermöglicht, mit einem KI-Chatbot zu interagieren und verschiedene Funktionen wie Code-Formatierung, Marktanalyse und medizinische Beratung zu nutzen.",
            "elevator_pitch": "Interaktive Plattform für KI-gestützte Unterstützung in verschiedenen Bereichen.",
            "target_audience": "Entwickler, Investoren, medizinisches Fachpersonal.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/turbosafebasic/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0392",
            "title": "turbosafecowboys — Genitus Inc. GPTurbo AI Software Factory",
            "project": "turbosafecowboys",
            "category": "Genitus Inc. AI-Tools",
            "cluster": "Genitus Inc. AI-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.1.1",
              "Font Awesome 6.0.0",
              "Prism.js"
            ],
            "tags": [
              "AI-Software",
              "KI-Plattform",
              "CelestiaOS",
              "Softwareentwicklung"
            ],
            "status": "prototype",
            "overview": "Die Seite präsentiert Genitus Inc. GPTurbo, eine AI-Software-Fabrik, die über 41 AI-Tools bietet und auf CelestiaOS basiert. Sie ermöglicht die Erstellung und Verwaltung von AI-gestützten Softwarelösungen.",
            "elevator_pitch": "Eine umfassende Plattform für die Entwicklung von AI-gestützten Softwarelösungen.",
            "target_audience": "Entwickler und Unternehmen, die AI-Tools benötigen.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/turbosafecowboys/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0393",
            "title": "tweet1 — KI-gestützter Tweet-Ersteller",
            "project": "tweet1",
            "category": "Social Media Tools",
            "cluster": "Social Media Tools",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "tweet-creator",
              "social-media",
              "ai",
              "viral-tweets",
              "tweet-optimization"
            ],
            "status": "prototype",
            "overview": "Eine interaktive Web-App, die Nutzern hilft, virale Tweets zu erstellen, indem sie Themen oder Ideen eingeben und die KI optimierte Tweets generiert.",
            "elevator_pitch": "Erstellen Sie mit Leichtigkeit ansprechende Tweets, die viral gehen können.",
            "target_audience": "Social Media Nutzer, Marketing-Profis.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/tweet1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0394",
            "title": "wiki22 — Fintech Encyclopedia",
            "project": "wiki22",
            "category": "Domvs-Avrea/Fintech-Enzyklopädie",
            "cluster": "Domvs-Avrea/Fintech-Enzyklopädie",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.0",
              "Font Awesome 6.4.0"
            ],
            "tags": [
              "fintech",
              "encyclopedia",
              "artikel",
              "übersetzen",
              "technologie"
            ],
            "status": "prototype",
            "overview": "Die Fintech Encyclopedia ist eine Web-App, die auf Anfrage Artikel zu verschiedenen Themen der Fintech-Branche generiert. Nutzer können nach Themen suchen und die Artikel in verschiedene Sprachen übersetzen.",
            "elevator_pitch": "Eine umfassende Enzyklopädie für die Fintech-Branche, die Artikel auf Anfrage bereitstellt.",
            "target_audience": "Fachleute und Interessierte im Bereich Finanzen und Technologie.",
            "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/wiki22/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0395",
            "title": "advanced-vibe-engineering — Fortgeschrittene Vibe-Engineering-Techniken",
            "project": "advanced-vibe-engineering",
            "category": "Domvs-Avrea/Advanced Vibe Engineering",
            "cluster": "Domvs-Avrea/Advanced Vibe Engineering",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript"
            ],
            "tags": [
              "softwareentwicklung",
              "systemarchitektur",
              "micro-frontends",
              "event-driven",
              "typescript"
            ],
            "status": "prototype",
            "overview": "Das Projekt \"Advanced Vibe Engineering\" bietet fortgeschrittene Muster und Techniken für Profis in der Softwareentwicklung, mit einem Fokus auf Systemarchitektur, Micro-Frontends und Event-Driven-Architekturen.",
            "elevator_pitch": "Ein umfassendes Ressourcenzentrum für moderne Softwareentwicklung.",
            "target_audience": "Softwareentwickler und Architekten.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/advanced-vibe-engineering/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0396",
            "title": "autobot10-steuermehrwert3prmopts7 — Ultimate Prompt Engineering Toolkit",
            "project": "autobot10-steuermehrwert3prmopts7",
            "category": "Domvs-Avrea/AI-Toolkit",
            "cluster": "Domvs-Avrea/AI-Toolkit",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "SaaS",
              "Monetarisierung",
              "Backend-Entwicklung",
              "AI",
              "LLMs"
            ],
            "status": "prototype",
            "overview": "Die Web-App bietet eine Sammlung von Ressourcen und Tools für die Entwicklung und Monetarisierung von SaaS-Anwendungen, einschließlich Backend-Entwicklung, AI & LLMs, Frontend-Entwicklung und Payment Gateways.",
            "elevator_pitch": "Ein umfassendes Toolkit für Entwickler zur Monetarisierung von SaaS-Anwendungen.",
            "target_audience": "Softwareentwickler und Unternehmer im SaaS-Bereich.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/autobot10-steuermehrwert3prmopts7/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0397",
            "title": "axel50 — Spreadsheet Data Calculator",
            "project": "axel50",
            "category": "Domvs-Avrea/Spreadsheet-Tools",
            "cluster": "Domvs-Avrea/Spreadsheet-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre.css"
            ],
            "tags": [
              "tabellenkalkulation",
              "datenanalyse",
              "statistik",
              "webapp"
            ],
            "status": "prototype",
            "overview": "Eine Webanwendung zur Berechnung von Summe, Durchschnitt, Minimum und Maximum in Tabellendaten. Ideal für Nutzer, die einfache statistische Berechnungen durchführen möchten.",
            "elevator_pitch": "Ein benutzerfreundlicher Spreadsheet-Datenrechner für schnelle statistische Analysen.",
            "target_audience": "Nutzer, die einfache Datenanalysen benötigen.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/axel50/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0398",
            "title": "english-test-10 — ZP10 Englisch Prüfungs-App",
            "project": "english-test-10",
            "category": "ZP10 English Prüfungs-App",
            "cluster": "ZP10 English Prüfungs-App",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Google Fonts"
            ],
            "tags": [
              "Englisch-Prüfung",
              "Gymnasiasten",
              "Lernen",
              "NRW"
            ],
            "status": "prototype",
            "overview": "Die ZP10 Englisch-App unterstützt Gymnasiasten in NRW bei der Vorbereitung auf Englisch-Prüfungen mit Lerninhalten zu Lesen, Grammatik, Wortschatz, Schreiben, Mediation, Übersetzung und Listening.",
            "elevator_pitch": "Eine umfassende Lernplattform für Englisch-Prüfungen.",
            "target_audience": "Gymnasiasten in Nordrhein-Westfalen.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/english-test-10/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0399",
            "title": "gitarre-lernen-verbessert (7) — Interaktive Gitarren-Lernplattform",
            "project": "gitarre-lernen-verbessert-7",
            "category": "Gitarren-Lernplattform",
            "cluster": "Gitarren-Lernplattform",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.0",
              "Google Fonts Bebas Neue",
              "Archivo",
              "Permanent Marker"
            ],
            "tags": [
              "gitarre lernen",
              "gitarrenakkorde",
              "gitarrenrhythmen",
              "online lernen"
            ],
            "status": "prototype",
            "overview": "Interaktive Plattform, die Schritt für Schritt Gitarrenakkorde, Rhythmen und Songs erklärt und übt. Die Seite nutzt Bootstrap für das Layout und bietet eine ansprechende Benutzeroberfläche.",
            "elevator_pitch": "Eine umfassende Lernplattform für Gitarrenanfänger.",
            "target_audience": "Anfänger, die Gitarre lernen möchten.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/gitarre-lernen-verbessert-7/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0400",
            "title": "grauermarktfdvag-landing-dev — Developer Documentation für Genitus DVAG BeratungsAI Pro",
            "project": "grauermarktfdvag-landing-dev",
            "category": "Genitus DVAG",
            "cluster": "Genitus DVAG",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome"
            ],
            "tags": [
              "developer-documentation",
              "KI-App",
              "Genitus DVAG",
              "Tailwind CSS"
            ],
            "status": "prototype",
            "overview": "Die Seite bietet technische Details zur KI-generierten BeratungsAI Pro-App von Genitus DVAG, einschließlich Architektur, Sicherheit und Bereitstellung. Sie enthält interaktive Elemente zur Navigation durch verschiedene Dokumentationstabs.",
            "elevator_pitch": "Umfassende Entwicklerdokumentation für die BeratungsAI Pro-App.",
            "target_audience": "Entwickler und technische Anwender.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/grauermarktfdvag-landing-dev/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0401",
            "title": "html-pro — AI HTML Studio",
            "project": "html-pro",
            "category": "Domvs-Avrea/HTML-Editor",
            "cluster": "Domvs-Avrea/HTML-Editor",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript",
              "Ace Editor",
              "Font Awesome",
              "Highlight.js"
            ],
            "tags": [
              "html-editor",
              "web-development",
              "developer-tools",
              "live-preview"
            ],
            "status": "prototype",
            "overview": "AI HTML Studio ist ein professioneller HTML-Editor mit Echtzeit-Vorschau, Auto-Save-Funktion und Tastaturkürzeln für Entwickler. Die Anwendung bietet eine benutzerfreundliche Oberfläche zur Bearbeitung von HTML-Code.",
            "elevator_pitch": "Ein leistungsstarker HTML-Editor für Webentwickler.",
            "target_audience": "Webentwickler, Programmierer, Studenten.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/html-pro/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0402",
            "title": "ide-free-tier — Kostenloser Online-Code-Editor mit Echtzeit-Vorschau",
            "project": "ide-free-tier",
            "category": "Domvs-Avrea/AI-Entwicklungswerkzeuge",
            "cluster": "Domvs-Avrea/AI-Entwicklungswerkzeuge",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Ace Editor",
              "Font Awesome"
            ],
            "tags": [
              "online-code-editor",
              "html-editor",
              "live-preview",
              "web-development"
            ],
            "status": "prototype",
            "overview": "AI HTML Studio ist ein kostenloser Online-Code-Editor, der Echtzeit-Vorschau für HTML, CSS und JavaScript bietet. Ideal für Webentwickler, Designer und Anfänger, um ihre Projekte direkt im Browser zu erstellen und zu testen.",
            "elevator_pitch": "Ein benutzerfreundlicher Online-Code-Editor mit sofortiger Vorschau.",
            "target_audience": "Webentwickler, Designer, Lernende.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/ide-free-tier/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0403",
            "title": "infosys1university1 — Universities API Test",
            "project": "infosys1university1",
            "category": "unabhaengig (API-Test-Snippet)",
            "cluster": "unabhaengig (API-Test-Snippet)",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Tailwind CDN",
              "Vanilla JS",
              "Hipolabs Universities API"
            ],
            "tags": [
              "api-example",
              "universities",
              "no-finance",
              "dev-tool",
              "learning"
            ],
            "status": "prototype",
            "overview": "Minimalistisches Ein-Seiten-Tool: Land eingeben oder aus Dropdown waehlen (Germany, USA, UK, France, Japan, Brazil, Canada, Australia, India), Klick auf \"Suchen\" ruft die oeffentliche `universities.hipolabs.com/search`-API auf und listet gefundene Universitaeten mit Name, Land und Website-Link auf.",
            "elevator_pitch": "Ein Zwei-Minuten-API-Testskript, das zeigt, wie man eine kostenlose oeffentliche REST-API (Hipolabs Universities) ohne Key konsumiert.",
            "target_audience": "Entwickler/Lernende, die ein einfaches Fetch-API-Beispiel als Vorlage brauchen.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/infosys1university1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0404",
            "title": "infosysjson20lightword12crud12 — Genitus Inc. Universal AI Editor",
            "project": "infosysjson20lightword12crud12",
            "category": "Genitus Inc. Universal AI Editor",
            "cluster": "Genitus Inc. Universal AI Editor",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2",
              "Quill",
              "Mammoth.js",
              "JSZip",
              "PapaParse",
              "PDF.js"
            ],
            "tags": [
              "document-editing",
              "AI-editor",
              "universal-editor",
              "Quill"
            ],
            "status": "prototype",
            "overview": "Der Genitus Inc. Universal AI Editor ist ein Web-Tool, das die Bearbeitung und Generierung von Dokumenten in verschiedenen Formaten wie DOCX, TXT, CSV, PDF und JSON ermöglicht. Es nutzt KI zur Inhaltserstellung und bietet eine benutzerfreundliche Oberfläche.",
            "elevator_pitch": "Ein vielseitiger Editor für die einfache Erstellung und Bearbeitung von Dokumenten mit KI-Unterstützung.",
            "target_audience": "Entwickler, Content-Ersteller, Unternehmen.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/infosysjson20lightword12crud12/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0405",
            "title": "infosysjson7 — Universal Data Viewer",
            "project": "infosysjson7",
            "category": "Genitus Inc. Universal Data Viewer",
            "cluster": "Genitus Inc. Universal Data Viewer",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2",
              "PapaParse",
              "PDF.js"
            ],
            "tags": [
              "data-viewer",
              "json",
              "csv",
              "pdf",
              "data-management"
            ],
            "status": "prototype",
            "overview": "Die Genitus Inc. Universal Data Viewer-App ermöglicht das Hochladen und Anzeigen von Daten in verschiedenen Formaten (JSON, CSV, PDF, TXT) mit der Möglichkeit, die Daten lokal zu speichern und zwischen verschiedenen Ansichten (Karten oder Tabellen) zu wechseln.",
            "elevator_pitch": "Ein vielseitiges Tool zur Datenvisualisierung und -verwaltung.",
            "target_audience": "Entwickler, Datenanalysten, alle, die mit Daten arbeiten.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/infosysjson7/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0406",
            "title": "infosyskurs15 — Online-Kurs zur Webentwicklung mit KI",
            "project": "infosyskurs15",
            "category": "Domvs-Avrea/Kursangebote",
            "cluster": "Domvs-Avrea/Kursangebote",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "JavaScript"
            ],
            "tags": [
              "online-kurs",
              "webentwicklung",
              "html",
              "css",
              "javascript",
              "ki-unterstützung"
            ],
            "status": "prototype",
            "overview": "Der Kurs bietet eine Einführung in HTML, CSS und JavaScript mit KI-Unterstützung und richtet sich an Arbeitsuchende und Quereinsteiger. Er umfasst Portfolio-Projekte und ein Zertifikat.",
            "elevator_pitch": "Werde Webentwickler mit unserem 10-stündigen Online-Kurs.",
            "target_audience": "Arbeitsuchende, Quereinsteiger, Selbstständige.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/infosyskurs15/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0407",
            "title": "infosyskurs15amerge — Exposé für KI-Webinar und Tagesseminar",
            "project": "infosyskurs15amerge",
            "category": "Domvs-Avrea/KI-Webinar",
            "cluster": "Domvs-Avrea/KI-Webinar",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "KI-Webinar",
              "Tagesseminar",
              "Webentwicklung",
              "HTML",
              "CSS",
              "JavaScript"
            ],
            "status": "live",
            "overview": "Die Webseite präsentiert ein Exposé für ein KI-Webinar (10 Stunden online) und ein Tagesseminar (6 Stunden Präsenz) zur Webentwicklung mit HTML, CSS und JavaScript. Die Zielgruppe sind Jobcenter, Arbeitsagenturen und Firmen.",
            "elevator_pitch": "Ein umfassendes Bildungsangebot zur Webentwicklung mit KI-Unterstützung.",
            "target_audience": "Jobcenter, Arbeitsagenturen, Firmen.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/infosyskurs15amerge/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0408",
            "title": "lecode-1 — NextGen AI Development Studio",
            "project": "lecode-1",
            "category": "Domvs-Avrea/LeCode Fusion",
            "cluster": "Domvs-Avrea/LeCode Fusion",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre.css",
              "Font Awesome",
              "Ace Editor",
              "Prism.js"
            ],
            "tags": [
              "ki-entwicklung",
              "html-editor",
              "lecode",
              "entwickler-tools"
            ],
            "status": "prototype",
            "overview": "LeCode Fusion ist eine Web-App zur Entwicklung von KI-gestützten Anwendungen, die zwei KI-Modelle (Mistral und Claude) integriert. Sie ermöglicht das Hochladen von Medien, das Schreiben und Bearbeiten von Code sowie die Interaktion mit KI-Modellen.",
            "elevator_pitch": "Eine Plattform für Entwickler zur Erstellung und Bearbeitung von KI-Anwendungen.",
            "target_audience": "Entwickler und KI-Enthusiasten.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/lecode-1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0409",
            "title": "leide — AI HTML Studio",
            "project": "leide",
            "category": "Domvs-Avrea/LeIDE",
            "cluster": "Domvs-Avrea/LeIDE",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Ace Editor",
              "Font Awesome",
              "Highlight.js"
            ],
            "tags": [
              "html-editor",
              "web-development",
              "ai-support",
              "web-design"
            ],
            "status": "prototype",
            "overview": "LeIDE ist ein professioneller HTML-Editor, der Entwicklern und Webdesignern hilft, HTML-Code zu erstellen, zu bearbeiten und zu verwalten. Die Anwendung bietet eine Vielzahl von Funktionen zur Unterstützung der Webentwicklung.",
            "elevator_pitch": "Ein leistungsstarker HTML-Editor, der KI-gestützte Funktionen bietet.",
            "target_audience": "Webentwickler und Designer.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/leide/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0410",
            "title": "neural-chess-ki-power-jwtmarkov1 — Enhanced JWT Token Generator with Markov Labels",
            "project": "neural-chess-ki-power-jwtmarkov1",
            "category": "JWT-Token-Generator-Familie",
            "cluster": "JWT-Token-Generator-Familie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Web Crypto (HMAC-SHA256)",
              "Markov-Chain-Namensgenerator"
            ],
            "tags": [
              "dev-tool",
              "jwt",
              "auth",
              "token-generator",
              "security-demo"
            ],
            "status": "prototype",
            "overview": "Formular-basiertes Ein-Datei-Tool (759 Zeilen): Nutzer gibt ein JWT-Secret ein, klickt \"Generate JWT Token\", das Tool baut Header/Payload/Signatur eines JWT zusammen (inkl. eines von der `EnhancedMarkovLabelGenerator`-Klasse erzeugten \"Session-Labels\") und zeigt Token sowie dessen dekodierte Bestandteile (Header/Payload/Signature) und einen Gültigkeits-Status an.",
            "elevator_pitch": "Ein Lern-/Debug-Tool, um JWT-Struktur (Header.Payload.Signature) live nachzuvollziehen — mit einem verspielten Zusatz-Feature, das jedem generierten Token einen Markov-generierten, aussprechbaren Codenamen gibt.",
            "target_audience": "Entwickler, die JWT-Mechanik verstehen/testen wollen, ohne ein externes Tool wie jwt.io zu nutzen.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/neural-chess-ki-power-jwtmarkov1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0411",
            "title": "neural-chess-ki-power-jwtmarkov2 — Orbitron JWT Token Generator",
            "project": "neural-chess-ki-power-jwtmarkov2",
            "category": "JWT-Token-Generator-Familie",
            "cluster": "JWT-Token-Generator-Familie",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Google Fonts Orbitron+Roboto Mono",
              "Web Crypto"
            ],
            "tags": [
              "dev-tool",
              "jwt",
              "auth",
              "token-generator",
              "security-demo",
              "visualizer"
            ],
            "status": "prototype",
            "overview": "Erweiterte Variante von `neural-chess-ki-power-jwtmarkov1` (2297 Zeilen statt 759): gleiches Grundprinzip (Secret eingeben → JWT generieren), aber mit deutlich reichhaltigerem UI — Token-Visualizer mit farbcodierten Teilen (Header/Payload/Signature als `.token-part`), Token-Historie (`.token-history`), Token-Stärke-Anzeige (`.token-strength`) und Feature-Grid. Neon-Cyberpunk-Optik mit gepunktetem Hintergrundmuster.",
            "elevator_pitch": "Die \"Deluxe\"-Version des JWT-Generators — mit visueller Aufschlüsselung der drei Token-Teile, Verlaufshistorie generierter Tokens und einer Stärke-Bewertung des gewählten Secrets.",
            "target_audience": "Entwickler/Lernende, die JWT-Struktur nicht nur generieren, sondern auch visuell nachvollziehen und mehrere Versuche vergleichen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/neural-chess-ki-power-jwtmarkov2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0412",
            "title": "neuralword — AI Office Suite für Textverarbeitung",
            "project": "neuralword",
            "category": "AI Office Suite",
            "cluster": "AI Office Suite",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "text-processing",
              "templates",
              "download-options",
              "word-processor",
              "spreadsheet"
            ],
            "status": "prototype",
            "overview": "Die AI Office Suite ist eine eigenständige Webanwendung, die Funktionen zur Textverarbeitung, Tabellenverwaltung und Vorlagenerstellung bietet. Nutzer können Dokumente erstellen, formatieren und in verschiedenen Formaten herunterladen.",
            "elevator_pitch": "Eine umfassende Webanwendung für Textverarbeitung mit vielfältigen Funktionen.",
            "target_audience": "Studenten, Fachkräfte und alle, die Dokumente erstellen müssen.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/neuralword/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0413",
            "title": "petzoCLAUDEexplorer4 — Webanwendung für Projektmanagement",
            "project": "petzoclaudeexplorer4",
            "category": "Domvs-Avrea/Projektmanagement-Tools",
            "cluster": "Domvs-Avrea/Projektmanagement-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Prism.js"
            ],
            "tags": [
              "RAG",
              "CRUD",
              "Projektmanagement",
              "Mistral AI",
              "Webanwendung"
            ],
            "status": "prototype",
            "overview": "Die Anwendung ermöglicht die Verwaltung von Projekten mit RAG (Retrieval Augmented Generation) und bietet CRUD-Operationen, die mit der Mistral AI API integriert sind.",
            "elevator_pitch": "Eine innovative Webanwendung zur effizienten Verwaltung von Projekten.",
            "target_audience": "Projektmanager und Entwickler.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/petzoclaudeexplorer4/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0414",
            "title": "replit-batch — Neural Codex Dashboard",
            "project": "replit-batch",
            "category": "Domvs-Avrea/Neural Codex",
            "cluster": "Domvs-Avrea/Neural Codex",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Spectre CSS"
            ],
            "tags": [
              "replit",
              "dashboard",
              "projektstatistiken",
              "learning"
            ],
            "status": "prototype",
            "overview": "Das Neural Codex Dashboard bietet eine organisierte Übersicht über Replit-Projekte mit Statistiken und Kategorien. Es verwendet eine ansprechende Benutzeroberfläche mit Spectre CSS.",
            "elevator_pitch": "Ein Dashboard zur Verwaltung und Übersicht von Replit-Projekten.",
            "target_audience": "Entwickler und Lernende, die Replit nutzen.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/replit-batch/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0415",
            "title": "substitue-3 — Lernapp Gymnasium NRW",
            "project": "substitue-3",
            "category": "Lernplattformen",
            "cluster": "Lernplattformen",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "lernapp",
              "gymnasium",
              "nrw",
              "ki-gestuetzte plattform",
              "tests",
              "klassenarbeiten"
            ],
            "status": "prototype",
            "overview": "Die Lernapp Gymnasium NRW - Obitron Neural Style bietet eine KI-gestützte Plattform mit Lernstoff, Tests und Klassenarbeiten für verschiedene Fächer und Klassenstufen.",
            "elevator_pitch": "Eine innovative Lernplattform für Gymnasiasten in NRW.",
            "target_audience": "Schüler, Lehrer und Bildungseinrichtungen.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/substitue-3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0416",
            "title": "TexasONE — TRANSLATOR11-test-texas",
            "project": "translator11-test-texas",
            "category": "TI-AI Terminal Calculator",
            "cluster": "TI-AI Terminal Calculator",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "mathematics",
              "finance",
              "statistics",
              "API",
              "webapp"
            ],
            "status": "prototype",
            "overview": "Die TI-AI Terminal Calculator Webapp bietet fortgeschrittene mathematische Berechnungen und Finanzfunktionen. Sie ist als API konzipiert und ermöglicht grundlegende Rechenoperationen sowie statistische Analysen.",
            "elevator_pitch": "Ein leistungsstarker Rechner für Mathematik und Finanzen, der als API genutzt werden kann.",
            "target_audience": "Entwickler und Finanzanalysten.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/translator11-test-texas/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0417",
            "title": "ultimate-vibe-coding-guide — Der ultimative Leitfaden für modernes Webdesign",
            "project": "ultimate-vibe-coding-guide",
            "category": "Webentwicklung",
            "cluster": "Webentwicklung",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript"
            ],
            "tags": [
              "webentwicklung",
              "html5",
              "javascript",
              "ai-assisted-development",
              "modern-webdesign"
            ],
            "status": "prototype",
            "overview": "Der Ultimate Vibe Coding Guide bietet eine umfassende Einführung in moderne Webentwicklung mit Fokus auf HTML5, JavaScript und KI-unterstütztem Entwickeln. Die Seite ist ansprechend gestaltet und enthält interaktive Elemente zur Navigation durch verschiedene Sektionen.",
            "elevator_pitch": "Ein umfassender Leitfaden für Webentwickler, die moderne Techniken erlernen möchten.",
            "target_audience": "Webentwickler, Studenten, Technikinteressierte.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/ultimate-vibe-coding-guide/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0418",
            "title": "versicherungsmathematik (3) — Einführung in die Versicherungsmathematik",
            "project": "versicherungsmathematik-3",
            "category": "Versicherungsmathematik",
            "cluster": "Versicherungsmathematik",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2",
              "Google Fonts"
            ],
            "tags": [
              "versicherungsmathematik",
              "statistik",
              "risikomanagement",
              "kalkulation",
              "solvenz II"
            ],
            "status": "prototype",
            "overview": "Die Webseite bietet eine umfassende Einführung in die Grundlagen der Versicherungsmathematik und Statistik, einschließlich Risikomanagement, Kalkulation und Solvenz II.",
            "elevator_pitch": "Eine informative Ressource für Studierende und Fachleute in der Versicherungsmathematik.",
            "target_audience": "Studierende, Versicherungsexperten.",
            "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/versicherungsmathematik-3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0419",
            "title": "iss5 — Satellite Tracker",
            "project": "iss5",
            "category": "Satellitenverfolgung",
            "cluster": "Satellitenverfolgung",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript",
              "Three.js"
            ],
            "tags": [
              "satellitenverfolgung",
              "ISS",
              "Starlink",
              "Echtzeitdaten",
              "Weltkarte"
            ],
            "status": "prototype",
            "overview": "Mobile optimierte Web-App zur Echtzeitverfolgung von Satelliten wie der ISS und der Starlink-Konstellation. Sie zeigt Satellitenpositionen, Bahnen und eine Weltkarte an.",
            "elevator_pitch": "Verfolgen Sie Satelliten in Echtzeit und erhalten Sie präzise Informationen über ihre Positionen.",
            "target_audience": "Raumfahrtenthusiasten, Wissenschaftler, Bildungseinrichtungen.",
            "replit_md_path": "HTML-MD-EXPORT/06-news-data-feeds/iss5/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0420",
            "title": "mamasafe1-basic-temperature5 — Open-Meteo Wetterdaten-App",
            "project": "mamasafe1-basic-temperature5",
            "category": "Wetter-Apps",
            "cluster": "Wetter-Apps",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Open-Meteo API"
            ],
            "tags": [
              "wettervorhersage",
              "temperatur",
              "wind",
              "niederschlag",
              "open-meteo"
            ],
            "status": "live",
            "overview": "Die Open-Meteo Weather-to-Chart App zeigt Wetterdaten für ausgewählte deutsche Städte an, einschließlich Temperatur, Windgeschwindigkeit und Niederschlag. Sie nutzt Open-Meteo APIs für Geocoding und Wettervorhersagen.",
            "elevator_pitch": "Eine benutzerfreundliche App zur Anzeige von Wetterdaten in Echtzeit.",
            "target_audience": "Personen, die aktuelle Wetterinformationen benötigen.",
            "replit_md_path": "HTML-MD-EXPORT/06-news-data-feeds/mamasafe1-basic-temperature5/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0421",
            "title": "meteo1 — Open-Meteo: Weather-to-Chart (Enterprise Edition)",
            "project": "meteo1",
            "category": "Wetter-Datenfeeds",
            "cluster": "Wetter-Datenfeeds",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Chart-Rendering",
              "Open-Meteo API",
              "Open-Meteo Geocoding API"
            ],
            "tags": [
              "weather",
              "chart",
              "open-meteo",
              "geocoding",
              "no-api-key",
              "data-feed"
            ],
            "status": "production-ready",
            "overview": "Ein Wetter-zu-Diagramm-Tool (\"Enterprise Edition\" laut Titel), das Wetterdaten der kostenlosen Open-Meteo-API abruft, per Ortssuche (Geocoding) einen Standort aufloest und die Daten als Chart visualisiert.",
            "elevator_pitch": "Ein schlankes Wetter-Charting-Tool ganz ohne API-Key — nutzt die kostenlose, oeffentliche Open-Meteo-API statt kostenpflichtiger Wetterdienste.",
            "target_audience": "Nutzer, die Wetterverlaeufe fuer einen Ort visuell statt in Tabellenform sehen wollen; als generisches Utility auch in andere Genitus/BLUEHOST-Projekte einbettbar.",
            "replit_md_path": "HTML-MD-EXPORT/06-news-data-feeds/meteo1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0422",
            "title": "meteo1-maps3 — Radar Overlay (RainViewer + Leaflet, fixed)",
            "project": "meteo1-maps3",
            "category": "Wetter-Datenfeeds",
            "cluster": "Wetter-Datenfeeds",
            "tier": "3",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Leaflet.js",
              "RainViewer API",
              "Open-Meteo Geocoding API"
            ],
            "tags": [
              "weather",
              "radar",
              "leaflet",
              "rainviewer",
              "no-api-key",
              "data-feed"
            ],
            "status": "production-ready",
            "overview": "Ein kompaktes Regenradar-Tool (nur 7,3 KB — die kleinste reale Datei im urspruenglichen `07-travel-guides`-Batch): legt eine Live-Regenradar-Ueberlagerung von RainViewer auf eine Leaflet-Karte, mit Ortssuche ueber Open-Meteo-Geocoding. Der Titelzusatz \"(fixed)\" deutet auf eine bereits behobene fruehere Fehlerversion hin.",
            "elevator_pitch": "Ein Live-Regenradar auf Kartenbasis, komplett kostenlos ohne API-Key.",
            "target_audience": "Nutzer, die kurzfristig pruefen wollen, ob/wann Regen an einem Ort eintrifft.",
            "replit_md_path": "HTML-MD-EXPORT/06-news-data-feeds/meteo1-maps3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0423",
            "title": "neuralwetter — Wetter Dashboard mit KI-Assistent",
            "project": "neuralwetter",
            "category": "Wetter-Tools",
            "cluster": "Wetter-Tools",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript",
              "OpenAI API"
            ],
            "tags": [
              "wetter",
              "wettervorhersage",
              "dashboard",
              "openai",
              "wetter-assistent"
            ],
            "status": "prototype",
            "overview": "Das Wetter Dashboard bietet eine farbenfrohe und aktuelle Wetterübersicht für verschiedene Standorte, inklusive eines Wetter-Assistenten, der auf OpenAI basiert.",
            "elevator_pitch": "Ein interaktives Wetter-Dashboard mit KI-Unterstützung für Echtzeit-Wetterdaten.",
            "target_audience": "Nutzer, die aktuelle Wetterinformationen und Vorhersagen benötigen.",
            "replit_md_path": "HTML-MD-EXPORT/06-news-data-feeds/neuralwetter/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0424",
            "title": "adwoto-tourguide-complete-guide — AdWoTo Tourguide: Komplettuebersicht & Finanzrechner",
            "project": "adwoto-tourguide-complete-guide",
            "category": "Reisefuehrer",
            "cluster": "Reisefuehrer",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "statische Datenstruktur"
            ],
            "tags": [
              "travel",
              "tourguide",
              "finance-calculator",
              "tips",
              "gig-economy"
            ],
            "status": "production-ready",
            "overview": "Ein Nachschlagewerk/Rechner fuer (vermutlich freiberufliche) Stadtfuehrer/Guides: kombiniert eine Komplettuebersicht ueber den Job mit einem Finanzrechner, der Trinkgeld-relevante Faktoren wie Wetter, Gruppengroesse und Performance beruecksichtigt (\"Gutes Wetter = bessere Stimmung = mehr Trinkgeld\"; \"Internationale, groessere Gruppen (15+), Top-Performance, gutes Wetter\" als Einflussfaktoren).",
            "elevator_pitch": "Ein Tool speziell fuer Tourguides selbst (nicht fuer Touristen) — hilft abzuschaetzen, wie sich Wetter, Gruppengroesse und eigene Leistung auf das Trinkgeld-Einkommen auswirken.",
            "target_audience": "Freiberufliche/Gig-Economy-Stadtfuehrer, die ihr variables Trinkgeld-Einkommen besser einschaetzen wollen.",
            "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/adwoto-tourguide-complete-guide/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0425",
            "title": "brewery-explorer — Brewery Explorer",
            "project": "brewery-explorer",
            "category": "Reisefuehrer",
            "cluster": "Reisefuehrer",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Leaflet.js",
              "OpenStreetMap",
              "Open Brewery DB API",
              "Nominatim Geocoding"
            ],
            "tags": [
              "travel",
              "breweries",
              "geo",
              "leaflet",
              "infinite-scroll",
              "skills-showcase",
              "localstorage-cache"
            ],
            "status": "prototype",
            "overview": "Findet Breweries in der Naehe per GPS oder Stadtsuche, zeigt sie auf einer Leaflet/OpenStreetMap-Karte an und laedt weitere Ergebnisse per Infinite Scroll nach. Nutzt LocalStorage-Caching (15 Min. TTL) um wiederholte API-Calls zu sparen. Laut eigenem \"Demonstrierte Skills\"-Abschnitt im Code eher ein Portfolio-/Skills-Showcase als eine produktreife App.",
            "elevator_pitch": "Ein GPS-basierter Brauerei-Finder, der zeigt, wie man Geolocation, Kartenintegration, externe APIs und Infinite Scroll ohne Framework sauber kombiniert.",
            "target_audience": "Bier-Touristen/Craft-Beer-Fans als Endnutzer; primaer aber ein Code-Sample fuer den Autor selbst (Skills-Demo).",
            "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/brewery-explorer/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0426",
            "title": "croatia-adria-guide — Croatia Adria Guide",
            "project": "croatia-adria-guide",
            "category": "Reisefuehrer",
            "cluster": "Reisefuehrer",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Leaflet.js",
              "OpenStreetMap/CartoDB Tiles",
              "Wikimedia Images"
            ],
            "tags": [
              "travel",
              "croatia",
              "leaflet",
              "filterable-map",
              "unesco",
              "static",
              "region-guide"
            ],
            "status": "production-ready",
            "overview": "Interaktiver Kroatien-Reisefuehrer mit Leaflet-Karte, filterbar nach Region (Istrien bis Sueddalmatien) und Typ (Strand/Architektur/Natur/Ort), mit Geheimtipp-Markierung. Enthaelt ca. 30 recherchierte Orte mit Bildern, UNESCO-Kennzeichnung und praktischen Reiseinfos (Waehrung, Schengen, Faehren, Bura-Wind).",
            "elevator_pitch": "Ein kuratierter, filterbarer Kroatien-Guide mit ~30 handverlesenen Orten statt endlosem Scrollen durch generische Reiseblogs.",
            "target_audience": "Reisende, die Kroatien (Istrien bis Sueddalmatien) individuell erkunden wollen, mit Fokus auf abseits gelegene \"Geheimtipps\".",
            "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/croatia-adria-guide/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0427",
            "title": "dubrovnik-roadtrip-navigator — Dubrovnik Roadtrip Navigator",
            "project": "dubrovnik-roadtrip-navigator",
            "category": "Reisefuehrer",
            "cluster": "Reisefuehrer",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "Leaflet.js",
              "OSRM Routing API",
              "html2canvas",
              "Font Awesome",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "travel",
              "roadtrip",
              "routing",
              "leaflet",
              "dark-light-theme",
              "png-export",
              "croatia"
            ],
            "status": "production-ready",
            "overview": "Interaktive Leaflet-Karte fuer eine Roadtrip-Route Duesseldorf → Dubrovnik mit festen Stopps (Sehenswuerdigkeiten, Straende, Uebernachtungen), E-Ladestationen- und Nachtfahrt-Gefahren-Overlays, Live-Routenberechnung ueber OSRM sowie PNG-Export und Light/Dark-Theme.",
            "elevator_pitch": "Eine fix-und-fertig geplante Roadtrip-Karte fuer eine konkrete Strecke — inklusive Ladestationen fuer E-Autos und Sicherheitswarnungen fuer Nachtfahrten, nicht nur eine generische Routenplaner-App.",
            "target_audience": "Der Autor/die Familie selbst fuer eine reale, geplante Reise Duesseldorf–Dubrovnik (vermutlich Anlass fuer `dusseldorf-tour-guide-english` und `croatia-adria-guide` im selben Ordner).",
            "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/dubrovnik-roadtrip-navigator/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0428",
            "title": "dusseldorf-tour-guide-english — Duesseldorf Old Town Tour-Guide (English Script Engine)",
            "project": "dusseldorf-tour-guide-english",
            "category": "Reisefuehrer",
            "cluster": "Reisefuehrer",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla JS",
              "statisches Datenarray"
            ],
            "tags": [
              "travel",
              "dusseldorf",
              "tour-script",
              "walking-tour",
              "fortuna-theme",
              "no-backend"
            ],
            "status": "production-ready",
            "overview": "Stationsbasiertes englischsprachiges Skript fuer eine Stadtfuehrung durch die Duesseldorfer Altstadt im Fortuna-Duesseldorf-Look (Rot/Weiss-Vereinsfarben), mit Regieanweisungen und humorvollen historischen Anekdoten zu jeder Station (Carschhaus, Killepitsch, Uerige, Rheinturm etc.). Der Browser-Tab-Titel (\"🔴 F95 TOUR-ENGINE: DÜSSELDORF OLD TOWN\") deutet auf einen Fortuna-Duesseldorf-Fan-Bezug (Vereinskuerzel F95) hin.",
            "elevator_pitch": "Ein humorvolles, als Skript aufbereitetes Tour-Erlebnis fuer die Duesseldorfer Altstadt — kein reiner Faktenkatalog, sondern mit \"Regieanweisungen\" fuer den Guide selbst geschrieben.",
            "target_audience": "Ein selbst durchfuehrender Stadtfuehrer (Freund/Familie als Gruppe), englischsprachige Gaeste in Duesseldorf, Fortuna-Duesseldorf-Fans.",
            "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/dusseldorf-tour-guide-english/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0429",
            "title": "MAPland — GAMES3-chess8-mapland",
            "project": "games3-chess8-mapland",
            "category": "Domvs-Avrea/Map-Navigator",
            "cluster": "Domvs-Avrea/Map-Navigator",
            "tier": "2",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome"
            ],
            "tags": [
              "pilgrimage",
              "sacred sites",
              "mapping",
              "travel"
            ],
            "status": "prototype",
            "overview": "Die Orbitron Map Navigator-App ermöglicht die Navigation durch historische Pilgerrouten, Entdeckung sakraler Stätten und spirituelle Reisen mit fortschrittlicher Kartentechnologie und religiösem Inhalt.",
            "elevator_pitch": "Entdecken Sie historische Pilgerstätten und erleben Sie spirituelle Reisen mit innovativer Kartentechnologie.",
            "target_audience": "Reisende, Pilger, spirituell Interessierte.",
            "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/games3-chess8-mapland/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0430",
            "title": "holland1 — Niederländisch für Deutsche: Kompletter Guide",
            "project": "holland1",
            "category": "Domvs-Avrea/Niederländisch-Guide",
            "cluster": "Domvs-Avrea/Niederländisch-Guide",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS"
            ],
            "tags": [
              "niederländisch",
              "reise",
              "sprachführer",
              "interaktive übungen"
            ],
            "status": "prototype",
            "overview": "Umfassender interaktiver Guide für Deutsche, die Niederländisch lernen möchten. Beinhaltet Aussprache, praktische Phrasen, Verkehrsinformationen und Notfälle.",
            "elevator_pitch": "Ein interaktiver Guide für Deutsche, um die niederländische Sprache zu meistern.",
            "target_audience": "Reisende und Urlauber in den Niederlanden.",
            "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/holland1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0431",
            "title": "sanchez930europilger-mapbox12 — EuroPilger-App",
            "project": "sanchez930europilger-mapbox12",
            "category": "EuroPilger",
            "cluster": "EuroPilger",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Mapbox GL JS",
              "Font Awesome 6.4.0"
            ],
            "tags": [
              "pilgerwege",
              "wanderwege",
              "radwege",
              "interaktive karten",
              "reiseplanung"
            ],
            "status": "prototype",
            "overview": "Die EuroPilger-App ermöglicht die Erkundung europäischer Pilger-, Wander- und Radwege mit interaktiven Karten und detaillierten Informationen zu Routen, Städten und Sehenswürdigkeiten.",
            "elevator_pitch": "Entdecken Sie die besten Pilger- und Wanderwege in Europa mit interaktiven Karten.",
            "target_audience": "Reisende, Wanderer, Pilger.",
            "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/sanchez930europilger-mapbox12/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0432",
            "title": "club-album — Champions League Sammelalbum",
            "project": "club-album",
            "category": "Domvs-Avrea/Champions-League-Sammelalbum",
            "cluster": "Domvs-Avrea/Champions-League-Sammelalbum",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3"
            ],
            "tags": [
              "champions-league",
              "fußball",
              "sammelalbum",
              "interaktiv",
              "statistik"
            ],
            "status": "prototype",
            "overview": "Interaktive Web-App zum Sammeln und Entdecken von Legenden aus der Champions League Geschichte, mit detaillierten Statistiken und Highlights. Die App bietet eine ansprechende Benutzeroberfläche mit interaktiven Elementen.",
            "elevator_pitch": "Entdecken Sie die Legenden der Champions League in einem ansprechenden Sammelalbum.",
            "target_audience": "Fußballfans und Sammler.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/club-album/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0433",
            "title": "comic28 — EXCELSIOR! AI Comic Studio Pro",
            "project": "comic28",
            "category": "Domvs-Avrea/Comic-Generator",
            "cluster": "Domvs-Avrea/Comic-Generator",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5.3.2",
              "Tailwind CSS",
              "Google Fonts"
            ],
            "tags": [
              "comic-generator",
              "ai-tools",
              "storytelling",
              "webapp"
            ],
            "status": "prototype",
            "overview": "EXCELSIOR! AI Comic Studio Pro ist eine Webapp, die es Benutzern ermöglicht, mit Hilfe von KI generierte Comics zu erstellen. Sie bietet verschiedene Vorlagen und Anpassungsmöglichkeiten für die Erstellung von Comic-Geschichten.",
            "elevator_pitch": "Erstellen Sie Ihre eigenen Comics mit KI-Unterstützung in wenigen Minuten.",
            "target_audience": "Comic-Enthusiasten, Künstler, Geschichtenerzähler.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/comic28/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0434",
            "title": "de-beauvoir1 — Das Geschenk der Freiheit",
            "project": "de-beauvoir1",
            "category": "Domvs-Avrea/Literarische Werke",
            "cluster": "Domvs-Avrea/Literarische Werke",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5",
              "Font Awesome 6.5.1",
              "Google Fonts Crimson Pro",
              "Montserrat"
            ],
            "tags": [
              "roman",
              "identität",
              "frauen",
              "freiheit",
              "literatur"
            ],
            "status": "live",
            "overview": "Die Webseite präsentiert den Roman \"Das Geschenk der Freiheit\", der sich mit den Themen Identität und Freiheit von Frauen auseinandersetzt. Es handelt sich um eine literarische Darstellung, die in einem ansprechenden Design umgesetzt ist.",
            "elevator_pitch": "Ein fesselnder Roman über die Herausforderungen von Frauen in der Gesellschaft.",
            "target_audience": "Leserinnen und Leser, die sich für feministische Literatur und Identitätsfragen interessieren.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/de-beauvoir1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0435",
            "title": "galaxy-mobile — Interaktive 3D-Galaxie-Visualisierung",
            "project": "galaxy-mobile",
            "category": "Domvs-Avrea/Galaxy Explorer",
            "cluster": "Domvs-Avrea/Galaxy Explorer",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Three.js"
            ],
            "tags": [
              "3D-Visualisierung",
              "Astronomie",
              "Interaktiv",
              "Milchstraße"
            ],
            "status": "prototype",
            "overview": "Galaxy Explorer v3.1 ist eine interaktive Anwendung, die es Nutzern ermöglicht, die Milchstraße in Echtzeit zu erkunden. Die App richtet sich an Astronomen und Hobby-Astronomen.",
            "elevator_pitch": "Erleben Sie die Milchstraße in 3D und entdecken Sie Sterne und Schwarze Löcher.",
            "target_audience": "Astronomie-Enthusiasten und Lernende.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/galaxy-mobile/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0436",
            "title": "genitus-rpg-basic — Arcadia Real Game RPG",
            "project": "genitus-rpg-basic",
            "category": "Arcadia Real Game RPG",
            "cluster": "Arcadia Real Game RPG",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Font Awesome",
              "Google Fonts"
            ],
            "tags": [
              "rollenspiel",
              "mittelalter",
              "abenteuer",
              "interaktive geschichte",
              "fantasy"
            ],
            "status": "prototype",
            "overview": "Arcadia Real Game RPG ist ein interaktives Rollenspiel, das mittelalterliche Abenteuer in Echtzeit simuliert. Spieler können Charaktere steuern, Würfel werfen und Münzspiele durchführen, um das Schicksal zu beeinflussen.",
            "elevator_pitch": "Erlebe ein spannendes mittelalterliches Abenteuer in einem interaktiven Rollenspiel.",
            "target_audience": "Rollenspiel-Enthusiasten und Fantasy-Fans.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/genitus-rpg-basic/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0437",
            "title": "globus-mobile — Interaktive 3D-Visualisierung der Erde",
            "project": "globus-mobile",
            "category": "Domvs-Avrea/Globus-Projekt",
            "cluster": "Domvs-Avrea/Globus-Projekt",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Three.js",
              "D3.js"
            ],
            "tags": [
              "3D-Visualisierung",
              "interaktive Erde",
              "Sonnensystem",
              "Astronomie"
            ],
            "status": "prototype",
            "overview": "Die Anwendung bietet eine interaktive 3D-Visualisierung der Erde, die Städte, Länder und astronomische Objekte darstellt. Sie nutzt moderne Webtechnologien wie Three.js und D3.js für die Darstellung.",
            "elevator_pitch": "Entdecken Sie die Erde und das Sonnensystem in einer interaktiven 3D-Umgebung.",
            "target_audience": "Bildungsinstitutionen, Astronomie-Enthusiasten, Technikinteressierte.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/globus-mobile/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0438",
            "title": "karate1 — 2D Karate Kampfsimulator",
            "project": "karate1",
            "category": "Domvs-Avrea/Kampfsport-Simulator",
            "cluster": "Domvs-Avrea/Kampfsport-Simulator",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript"
            ],
            "tags": [
              "karate",
              "kampfsimulator",
              "2D-spiel",
              "action-game"
            ],
            "status": "prototype",
            "overview": "Ein 2D-Karate-Kampfsimulator, in dem Spieler gegen eine KI-gesteuerte Gegnerin antreten. Die Steuerung erfolgt über Tastenbefehle, um verschiedene Angriffe und Bewegungen auszuführen.",
            "elevator_pitch": "Erlebe spannende Karatekämpfe in einem actiongeladenen 2D-Simulator.",
            "target_audience": "Gaming-Enthusiasten und Kampfspiel-Fans.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/karate1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0439",
            "title": "mobile-chess-1v1-eval (1) — Mobile Chess App für 1vs1-Spiele",
            "project": "mobile-chess-1v1-eval-1",
            "category": "Schach-Apps",
            "cluster": "Schach-Apps",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Chart.js",
              "Stockfish.js"
            ],
            "tags": [
              "chess",
              "mobile-app",
              "AI",
              "1v1",
              "online-chess"
            ],
            "status": "live",
            "overview": "Die Mobile Chess App ermöglicht 1vs1-Schachspiele gegen verschiedene KI-Gegner und bietet verschiedene Spielmodi. Sie ist speziell für mobile Geräte optimiert und bietet eine ansprechende Benutzeroberfläche.",
            "elevator_pitch": "Spiele Schach gegen verschiedene KIs auf deinem mobilen Gerät.",
            "target_audience": "Schachspieler und -interessierte, die mobile Spiele bevorzugen.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/mobile-chess-1v1-eval-1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0440",
            "title": "mourinho1 — Football Academy Pro - Mourinho Method",
            "project": "mourinho1",
            "category": "Football Academy Pro",
            "cluster": "Football Academy Pro",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 5",
              "Chart.js",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "fußballtraining",
              "mourinho-methode",
              "trainingsplan",
              "spielerentwicklung",
              "fußballakademie"
            ],
            "status": "prototype",
            "overview": "Die Webapp bietet Trainingspläne, Übungen, Spielerlisten, Schulnoten und Fortschrittsstatistiken für Fußballtrainer, die die Mourinho-Methoden nutzen möchten.",
            "elevator_pitch": "Eine umfassende Plattform für Fußballtrainer zur Anwendung der Mourinho-Methoden.",
            "target_audience": "Fußballtrainer und -akademien.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/mourinho1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0441",
            "title": "neural-bumper — 2D Bomberman-ähnliches Spiel",
            "project": "neural-bumper",
            "category": "Domvs-Avrea/Gaming-Portfolio",
            "cluster": "Domvs-Avrea/Gaming-Portfolio",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "spiel",
              "bomberman",
              "html5",
              "canvas",
              "gegner-ki"
            ],
            "status": "prototype",
            "overview": "Ein 2D-Spiel, inspiriert von Bomberman, das auf einer HTML5-Canvas basiert. Der Spieler steuert einen Charakter, um Gegner zu besiegen und Hindernisse zu zerstören, um Punkte zu sammeln.",
            "elevator_pitch": "Ein spannendes und herausforderndes Spiel, das strategisches Denken und Geschicklichkeit erfordert.",
            "target_audience": "Spieler, die Spaß an klassischen Arcade-Spielen haben.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neural-bumper/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0442",
            "title": "neural-donkey — NEURAL-KONG Plattformspiel",
            "project": "neural-donkey",
            "category": "Domvs-Avrea/Neural-Kong-Spiel",
            "cluster": "Domvs-Avrea/Neural-Kong-Spiel",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "JavaScript",
              "CSS"
            ],
            "tags": [
              "neural-kong",
              "plattformspiel",
              "arcade",
              "action"
            ],
            "status": "prototype",
            "overview": "NEURAL-KONG ist ein 2D-Plattformspiel, in dem der Spieler einen Charakter steuert, um Hindernissen auszuweichen und Punkte zu sammeln. Das Spiel nutzt HTML5 und JavaScript für die Interaktivität.",
            "elevator_pitch": "Ein spannendes Plattformspiel, das Geschicklichkeit und Reaktionsvermögen erfordert.",
            "target_audience": "Spieler, die Arcade- und Plattformspiele mögen.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neural-donkey/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0443",
            "title": "neuralblackjack — Professionelle Blackjack-App für Casinospieler",
            "project": "neuralblackjack",
            "category": "Blackjack-Tools",
            "cluster": "Blackjack-Tools",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "blackjack",
              "casino",
              "kartenzählen",
              "spielstrategie"
            ],
            "status": "prototype",
            "overview": "Die Anwendung bietet eine interaktive Blackjack-Spielumgebung, die Kartenzählen und Basisspielstrategien unterstützt. Ideal für Casinospieler, die ihre Fähigkeiten verbessern möchten.",
            "elevator_pitch": "Eine professionelle Blackjack-App, die Spielern hilft, strategische Entscheidungen zu treffen.",
            "target_audience": "Casinospieler und Blackjack-Enthusiasten.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralblackjack/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0444",
            "title": "neuralcasino1 — Genitus Casino",
            "project": "neuralcasino1",
            "category": "AI-Casino-Plattformen",
            "cluster": "AI-Casino-Plattformen",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Google Fonts"
            ],
            "tags": [
              "AI-Casino",
              "Online-Casino",
              "Blackjack",
              "Poker",
              "Roulette",
              "Spielstatistiken"
            ],
            "status": "prototype",
            "overview": "Genitus Casino ist eine AI-gestützte Casino-App, die eine Auswahl an Spielen wie Blackjack, Poker und Roulette bietet. Nutzer können ihre Spielstatistiken verfolgen und genießen einen Gewinnsatz von 73,2%.",
            "elevator_pitch": "Erleben Sie die Raffinesse des AI-gestützten Spielens in einer Casino-Atmosphäre.",
            "target_audience": "Glücksspiel-Enthusiasten und Casino-Spieler.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralcasino1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0445",
            "title": "neuralmole — Arcade Whack-a-Mole Spiel",
            "project": "neuralmole",
            "category": "Arcade-Spiele",
            "cluster": "Arcade-Spiele",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript"
            ],
            "tags": [
              "whack-a-mole",
              "arcade-game",
              "online-game",
              "entertainment"
            ],
            "status": "prototype",
            "overview": "\"Arcade Whack-a-Mole\" ist ein interaktives Spiel, bei dem Spieler versuchen, Mäusebilder in einer bestimmten Zeit zu treffen. Es bietet eine einfache, aber unterhaltsame Spielmechanik für alle Altersgruppen.",
            "elevator_pitch": "Ein unterhaltsames Arcade-Spiel, das Geschicklichkeit und Reaktionsschnelligkeit testet.",
            "target_audience": "Spieler jeden Alters, die Spaß an einfachen, interaktiven Spielen haben.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralmole/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0446",
            "title": "neuralnexus — Plattform für KI-gestützte Spiele",
            "project": "neuralnexus",
            "category": "NexusAI Gaming",
            "cluster": "NexusAI Gaming",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "Google Fonts"
            ],
            "tags": [
              "AI-Spiele",
              "adaptives Gaming",
              "Community-Spiele",
              "Online-Spiele"
            ],
            "status": "prototype",
            "overview": "Die Seite bietet eine Sammlung von AI-gestützten Spielen, die sich an die Spielweise des Nutzers anpassen. Sie enthält Community-Statistiken und eine Entwicklungs-Roadmap.",
            "elevator_pitch": "Entdecken Sie die Zukunft des Spielens mit KI-gestützten Spielen.",
            "target_audience": "Gamer und Technikbegeisterte.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralnexus/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0447",
            "title": "neuralpokemon2 — Pokémon Kartenspiel für zwei Spieler",
            "project": "neuralpokemon2",
            "category": "Pokémon Kartenspiel",
            "cluster": "Pokémon Kartenspiel",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "JavaScript",
              "Google Fonts",
              "Font Awesome"
            ],
            "tags": [
              "Pokémon",
              "Kartenspiel",
              "Taktik",
              "Online-Spiel"
            ],
            "status": "prototype",
            "overview": "Ein strategisches Pokémon-Kartenspiel für zwei Spieler, bei dem Pokémon-Karten mit verschiedenen Attributen verglichen werden. Die App lädt Pokémon-Daten und bietet taktische Entscheidungen.",
            "elevator_pitch": "Ein spannendes und strategisches Kartenspiel für Pokémon-Fans.",
            "target_audience": "Pokémon-Enthusiasten und Kartenspieler.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralpokemon2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0448",
            "title": "neuralroulette — AI Roulette Casino",
            "project": "neuralroulette",
            "category": "AI-Spiele",
            "cluster": "AI-Spiele",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS CDN",
              "Three.js"
            ],
            "tags": [
              "roulette",
              "casino",
              "virtuelles Spiel",
              "AI",
              "Glücksspiel"
            ],
            "status": "prototype",
            "overview": "Die AI Roulette Casino-App ist ein eigenständiges Roulette-Spiel, das es Nutzern ermöglicht, virtuell Roulette zu spielen, ohne eine Online-Verbindung zu benötigen. Die Benutzeroberfläche ist einfach und ermöglicht das Setzen von Wetten und das Drehen des Rouletterads.",
            "elevator_pitch": "Ein unterhaltsames, virtuelles Roulette-Erlebnis für Casino-Fans.",
            "target_audience": "Glücksspiel-Enthusiasten und Casino-Spieler.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralroulette/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0449",
            "title": "neuralspace — C64 Space Adventure",
            "project": "neuralspace",
            "category": "Retro-Spiele",
            "cluster": "Retro-Spiele",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "JavaScript"
            ],
            "tags": [
              "C64",
              "Retro-Spiel",
              "Browser-Spiel",
              "Arcade",
              "Nostalgie"
            ],
            "status": "prototype",
            "overview": "C64 Space Adventure ist ein nostalgisches Browser-Spiel, das Spieler in die Rolle eines Raumschiff-Piloten versetzt, der durch den Weltraum navigiert, Hindernisse vermeidet und Gegner bekämpft.",
            "elevator_pitch": "Ein unterhaltsames Retro-Spiel, das die Nostalgie der Commodore 64 Ära aufgreift.",
            "target_audience": "Retro-Spieler und Fans von Arcade-Spielen.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralspace/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0450",
            "title": "nexusai_gaming_hub_updated (3) — NexusAI Gaming Hub",
            "project": "nexusai-gaming-hub-updated-3",
            "category": "NexusAI Gaming Hub",
            "cluster": "NexusAI Gaming Hub",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS3",
              "Google Fonts"
            ],
            "tags": [
              "AI-Spiele",
              "interaktive Spiele",
              "adaptives Gaming",
              "futuristisches Gaming"
            ],
            "status": "live",
            "overview": "Der NexusAI Gaming Hub bietet AI-gestützte Spiele wie 'Noir Detective' und 'Neural Chess', die sich an die Spielweise der Nutzer anpassen. Die Seite ist für Fans von interaktiven und intelligenten Spielen konzipiert.",
            "elevator_pitch": "Entdecken Sie die Zukunft des Spielens mit AI-gestützten, adaptiven Spielen.",
            "target_audience": "Spieler, die innovative und interaktive Spielerlebnisse suchen.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/nexusai-gaming-hub-updated-3/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0451",
            "title": "sanchez930-games-os — NEXUS OS Game Center",
            "project": "sanchez930-games-os",
            "category": "NEXUS OS Game Center",
            "cluster": "NEXUS OS Game Center",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS",
              "Font Awesome 6.0.0",
              "Google Fonts Orbitron"
            ],
            "tags": [
              "spiele",
              "action",
              "puzzle",
              "wortspiele",
              "kartenspiele",
              "sportspiele",
              "KI-gestuetzte spiele"
            ],
            "status": "prototype",
            "overview": "NEXUS OS - Game Center ist eine Webapp, die verschiedene Spielkategorien wie Action, Puzzle, Wortspiele, Kartenspiele und Sportspiele bündelt. Sie richtet sich an Spieler aller Altersgruppen und bietet sowohl klassische als auch KI-gestützte Spiele.",
            "elevator_pitch": "Ein zentrales Spielcenter für verschiedene Spielkategorien.",
            "target_audience": "Spieler aller Altersgruppen.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/sanchez930-games-os/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0452",
            "title": "solar-mobile — Interaktive 3D-Visualisierung des Sonnensystems",
            "project": "solar-mobile",
            "category": "N/A",
            "cluster": "N/A",
            "tier": "2",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Tailwind CSS",
              "Three.js"
            ],
            "tags": [
              "3D-Visualisierung",
              "Sonnensystem",
              "Bildung",
              "interaktiv",
              "Astronomie"
            ],
            "status": "prototype",
            "overview": "Die Anwendung bietet eine interaktive 3D-Darstellung des Sonnensystems mit realistischen Bewegungen der Planeten, ideal für Schüler und Astronomie-Enthusiasten.",
            "elevator_pitch": "Entdecken Sie das Sonnensystem in einer interaktiven 3D-Umgebung.",
            "target_audience": "Schüler, Lehrer, Astronomie-Enthusiasten.",
            "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/solar-mobile/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0453",
            "title": "manscripts-final-complete — Kommunikationsskripte für Männer in Beziehungen",
            "project": "manscripts-final-complete",
            "category": "Beziehungskommunikation",
            "cluster": "Beziehungskommunikation",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "CSS"
            ],
            "tags": [
              "beziehungskommunikation",
              "männer",
              "partnerschaft",
              "konfliktlösung",
              "ehekommunikation",
              "beziehungstipps"
            ],
            "status": "prototype",
            "overview": "MANscripts bietet praktische Kommunikationsskripte und Strategien für Männer in Beziehungen, um Konflikte zu lösen und bessere Partnerschaften aufzubauen. Die Seite enthält realistische Szenarien und bewährte Dialogtechniken.",
            "elevator_pitch": "Praktische Hilfe für Männer, um ihre Kommunikationsfähigkeiten in Beziehungen zu verbessern.",
            "target_audience": "Männer in Beziehungen, die Konflikte lösen möchten.",
            "replit_md_path": "HTML-MD-EXPORT/10-business-personal-docs/manscripts-final-complete/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0454",
            "title": "genitus-trading-login2 — Zahlungserfolg & Zugangstoken-Seite",
            "project": "genitus-trading-login2",
            "category": "Genitus/Le-MARCHÉ-Oekosystem",
            "cluster": "Genitus/Le-MARCHÉ-Oekosystem",
            "tier": "3",
            "rebuild_grade": "C",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Clipboard API"
            ],
            "tags": [
              "paywall",
              "token-gate",
              "stripe-followup",
              "micro-page",
              "genitus"
            ],
            "status": "prototype",
            "overview": "Sehr kurze (152 Zeilen) Standalone-Seite mit dunklem Card-Design: Häkchen-Icon, Titel \"Zahlung erfolgreich!\", ein fest im HTML eingebetteter Zugangstoken-String, ein \"Token kopieren\"-Button (Clipboard API mit Fallback über `document.execCommand('copy')`) und ein \"Weiter\"-Button, der zu `https://genitus-trading.replit.app/` weiterleitet.",
            "elevator_pitch": "Die Bestätigungs-/Übergabeseite zwischen Bezahlvorgang und eigentlicher Trading-App — reine Funktionsseite, kein eigenständiges Produkt.",
            "target_audience": "Käufer, die soeben einen Zugangstoken für `genitus-trading` erworben haben.",
            "replit_md_path": "HTML-MD-EXPORT/12-hub-portals/genitus-trading-login2/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0455",
            "title": "genitus-travel — Genitus Inc. AI-Plattform (App-Portal)",
            "project": "genitus-travel",
            "category": "Genitus-Oekosystem",
            "cluster": "Genitus-Oekosystem",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Iframe-Embedding",
              "Stripe Payment Links"
            ],
            "tags": [
              "hub-portal",
              "paywall",
              "stripe",
              "iframe-container",
              "genitus",
              "multi-app-shell"
            ],
            "status": "production-ready",
            "overview": "Ein Stripe-monetarisiertes Login-Portal fuer \"Genitus Inc.\": Nutzer geben einen Zugangs-Token ein (gekauft via Stripe-Payment-Link) oder nutzen einen eingeschraenkten Gastmodus. Nach Login zeigt eine schmale Sidebar drei Genitus-Apps als Icon-Liste (genLINGUA/\"AI Vocab\", genTRANSL/\"AI Translator\", genTRAVEL/\"AI Travel Guide\"), von denen die ausgewaehlte per Iframe im Hauptbereich eingebettet wird — in dieser Datei-Variante ist \"AI Travel Guide\" (`genitus-travel.replit.app`) voreingestellt aktiv.",
            "elevator_pitch": "Ein White-Label-App-Portal, das mehrere eigenstaendige Genitus-Apps unter einer bezahlpflichtigen Oberflaeche buendelt — Zugang per Stripe-Kauf eines Tokens statt klassischem Abo-System.",
            "target_audience": "Endnutzer, die Zugang zu den Genitus-KI-Tools (Vokabeltrainer, Uebersetzer, Reisefuehrer) kaufen wollen; Genitus selbst als Distributions-Shell fuer das eigene App-Portfolio.",
            "replit_md_path": "HTML-MD-EXPORT/12-hub-portals/genitus-travel/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0456",
            "title": "investmentstore — AI APP STORE (Domusaurea Desktop-Shell)",
            "project": "investmentstore",
            "category": "Domusaurea Desktop-Shell-Familie",
            "cluster": "Domusaurea Desktop-Shell-Familie",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Bootstrap 4.5 CDN",
              "Framework7",
              "Google Fonts Roboto Mono",
              "Vanilla JS"
            ],
            "tags": [
              "hub-portal",
              "desktop-launcher",
              "taskbar",
              "start-menu",
              "catalog-shell",
              "domusaurea"
            ],
            "status": "production-ready",
            "overview": "Desktop-Shell (390 Zeilen) im Stil eines Betriebssystem-Desktops: Vollbild-Hintergrundbild (`babybounce500.github.io/icon/55.webp`), unten fixierte Taskbar mit \"☰ Start\"-Button und aufklappbarem Start-Menü, in der Fläche zahlreiche Desktop-Icons (`.desktop-icon`) mit Icon-Bild + Label, die auf einzelne domusaurea.tech-Apps verlinken.",
            "elevator_pitch": "\"Ein Desktop für alle deine Finanz-Apps\" — eine Windows-artige Startoberfläche statt einer klassischen Linkliste, wirkt wie ein eigenes Betriebssystem für das domusaurea.tech-Ökosystem.",
            "target_audience": "Endnutzer, die zentral auf das komplette App-Portfolio (Buchhaltung, Bilanz, NFT-Orderbuch, Optionen, Futures, CFD, Investment, Fintech-Bots) zugreifen sollen.",
            "replit_md_path": "HTML-MD-EXPORT/12-hub-portals/investmentstore/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0457",
            "title": "markov-index-final — MARKOV STACK // Master Index",
            "project": "markov-index-final",
            "category": "Markov Stack Hub",
            "cluster": "Markov Stack Hub",
            "tier": "1",
            "rebuild_grade": "B",
            "tech_stack": [
              "HTML5",
              "Vanilla CSS/JS",
              "Google Fonts Orbitron+Fira Code"
            ],
            "tags": [
              "hub-portal",
              "markov-chain",
              "multi-domain-index",
              "nlp",
              "security",
              "trading"
            ],
            "status": "prototype",
            "overview": "Umfangreiche Hub-Seite (1420 Zeilen) im selben Light/Dark-Design-System wie `lemarche-index`/`neural-command`: filterbare Kartenliste (Filter-Buttons 🎨 Creative / 📈 Trading / 🔐 Security) für den kompletten \"Markov Stack\" — von Char-Level-Textgeneratoren über MCMC/HMM-Demos bis zu zwei Trading-Terminals (Intraday Markov, Intraday Shannon, siehe auch `iso-joe-micro-hour-terminal-shannon` in diesem Batch).",
            "elevator_pitch": "Ein kuratiertes Schaufenster aller Markov-Ketten-Experimente eines Entwicklers/Teams — von kreativen Text-Mutationen bis zu quantitativen Trading-Signalen, vereint unter einem gemeinsamen technischen Prinzip (Markov-Ketten) statt einem gemeinsamen Anwendungsfeld.",
            "target_audience": "Technisch interessiertes Publikum (Entwickler, Nerds), das die Bandbreite der Markov-Kette als Konzept demonstriert bekommen soll — weniger ein klassisches Fintech-Publikum.",
            "replit_md_path": "HTML-MD-EXPORT/12-hub-portals/markov-index-final/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0458",
            "title": "goldshield-ai-le-marche-ai-investor-pitch1 — Investor Pitch (PDF, Deutsch)",
            "project": "goldshield-ai-le-marche-ai-investor-pitch1",
            "category": "unbekannt",
            "cluster": "unbekannt",
            "tier": "3",
            "rebuild_grade": "N/A",
            "tech_stack": [
              "unbekannt — nur Remote-Redirect auf PDF"
            ],
            "tags": [
              "redirect-stub",
              "unresolved",
              "no-local-source",
              "pdf",
              "investor-pitch"
            ],
            "status": "external-stub",
            "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Ziel ist keine HTML-App, sondern ein **PDF-Dokument**: `https://domusaurea.tech/GoldShield AI & Le MARCHÉ AI – Investor Pitch1.pdf`. Original-Label im Desktop-Katalog: \"PITCHdt\" (vermutlich \"Pitch Deutsch\").",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/goldshield-ai-le-marche-ai-investor-pitch1/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0459",
            "title": "goldshield-ai-le-marche-ai-investor-pitchenglish — Investor Pitch (PDF, Englisch)",
            "project": "goldshield-ai-le-marche-ai-investor-pitchenglish",
            "category": "unbekannt",
            "cluster": "unbekannt",
            "tier": "3",
            "rebuild_grade": "N/A",
            "tech_stack": [
              "unbekannt — nur Remote-Redirect auf PDF"
            ],
            "tags": [
              "redirect-stub",
              "unresolved",
              "no-local-source",
              "pdf",
              "investor-pitch"
            ],
            "status": "external-stub",
            "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Ziel ist ein **PDF-Dokument**: `https://domusaurea.tech/GoldShield AI & Le MARCHÉ AI – Investor Pitchenglish.pdf`. Original-Label im Desktop-Katalog: \"PITCHeng\".",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/goldshield-ai-le-marche-ai-investor-pitchenglish/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0460",
            "title": "investment-dvag-audio — invest (investment-dvag-audio.wav)",
            "project": "investment-dvag-audio",
            "category": "unbekannt (vermutlich DVAG-Investment-Audio-Serie)",
            "cluster": "unbekannt (vermutlich DVAG-Investment-Audio-Serie)",
            "tier": "3",
            "rebuild_grade": "N/A",
            "tech_stack": [
              "unbekannt — nur Remote-Redirect"
            ],
            "tags": [
              "redirect-stub",
              "unresolved",
              "no-local-source",
              "audio-file"
            ],
            "status": "external-stub",
            "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Original-Label im Desktop-Katalog: \"invest\". Original-Ziel: `https://domusaurea.tech/investment-dvag-audio.wav` — bereits am `.wav`-Suffix erkennbar, dass das Ziel selbst keine HTML-App, sondern eine Audiodatei ist (vermutlich eine gesprochene Investment-Erklaerung/Pitch-Aufnahme im DVAG-Kontext).",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/investment-dvag-audio/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0461",
            "title": "le-marche — LE-MARCHE (LE-MARCHE.png)",
            "project": "le-marche",
            "category": "unbekannt",
            "cluster": "unbekannt",
            "tier": "3",
            "rebuild_grade": "N/A",
            "tech_stack": [
              "unbekannt — nur Remote-Redirect"
            ],
            "tags": [
              "redirect-stub",
              "unresolved",
              "no-local-source"
            ],
            "status": "external-stub",
            "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Original-Label im Desktop-Katalog: \"LE-MARCHE\". Original-Ziel: `https://domusaurea.tech/LE-MARCHE.png`.",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/le-marche/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0462",
            "title": "wiresprachelexi11 — reiseführer (WIREspracheLEXI11)",
            "project": "wiresprachelexi11",
            "category": "unbekannt",
            "cluster": "unbekannt",
            "tier": "3",
            "rebuild_grade": "N/A",
            "tech_stack": [
              "unbekannt — nur Remote-Redirect"
            ],
            "tags": [
              "redirect-stub",
              "unresolved",
              "no-local-source"
            ],
            "status": "external-stub",
            "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Original-Label im Desktop-Katalog: \"reiseführer\". Original-Ziel: `https://domusaurea.tech/WIREspracheLEXI11.html`.",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/wiresprachelexi11/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          },
          {
            "catalog_type": "html_stack",
            "record_id": "new-html-stack:0463",
            "title": "wiresprachelexi5 — reisemini (WIREspracheLEXI5)",
            "project": "wiresprachelexi5",
            "category": "unbekannt",
            "cluster": "unbekannt",
            "tier": "3",
            "rebuild_grade": "N/A",
            "tech_stack": [
              "unbekannt — nur Remote-Redirect"
            ],
            "tags": [
              "redirect-stub",
              "unresolved",
              "no-local-source"
            ],
            "status": "external-stub",
            "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Original-Label im Desktop-Katalog: \"reisemini\". Original-Ziel: `https://domusaurea.tech/WIREspracheLEXI5.html`.",
            "elevator_pitch": "",
            "target_audience": "",
            "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/wiresprachelexi5/project.md",
            "source": "new-html-stack.json",
            "source_path": "new-html-stack.json",
            "is_local_project": false,
            "is_prompt": false,
            "is_stack_candidate": true
          }
        ]
      },
      {
        "catalog_type": "prompt_library",
        "catalog_id": "stack-100-prompts",
        "title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "description": "Prompt library sourced from stack-100-prompts.md; prompts are ideas, not verified project evidence.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "count": 100,
        "categories": [
          "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
          "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
          "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
          "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
          "MEDIA, GAMES & ENTERTAINMENT",
          "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
          "NEWS, DATENFEEDS & OSINT",
          "REISE-, WETTER- & OUTDOOR-TOOLS",
          "SPORT & SAMMLER-TOOLS",
          "TRADING & QUANT-TERMINALS"
        ],
        "records": [
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-101",
            "title": "erstelle einen Multi-Model-AI-Chat-Hub Provider-Switch",
            "prompt_number": 101,
            "prompt": "erstelle einen Multi-Model-AI-Chat-Hub Provider-Switch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Modell-Umschalter GPT-4o/Claude/Mistral/Gemini mit Live-Kostenanzeige pro 1K Tokens, Streaming-Antworten mit Typewriter-Effekt, Konversations-Threads mit Umbenennen/Archivieren, System-Prompt-Editor mit Presets, Token-Verbrauchs-Chart pro Session (ApexCharts Area), Konversations-Export Markdown/JSON, Wissensdatenbank-Upload PDF/TXT mit Chunk-Preview (D3.js Baumdiagramm), Antwort-Vergleich Side-by-Side zwei Modelle gleichzeitig, Rate-Limit-Warnanzeige, Prompt-Bibliothek mit Kategorien, Dark/Light Mode, GSAP Message-Bubble-Animationen - USE CASE: Entwickler vergleichen Modell-Antworten und Kosten vor Produktiv-Einsatz, Power-User verwalten mehrere parallele Recherche-Threads mit Wissensbasis. WICHTIG: nutzt ausschließlich einen serverseitigen Proxy-Endpunkt für API-Calls, niemals Provider-Keys im Client-Code (siehe SECURITY-FINDINGS.md im Stack für Negativ-Beispiele).",
            "overview": "erstelle einen Multi-Model-AI-Chat-Hub Provider-Switch",
            "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
            "category_number": 1,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Entwickler vergleichen Modell-Antworten und Kosten vor Produktiv-Einsatz, Power-User verwalten mehrere parallele Recherche-Threads mit Wissensbasis. WICHTIG: nutzt ausschließlich einen serverseitigen Proxy-Endpunkt für API-Calls, niemals Provider-Keys im Client-Code (siehe SECURITY-FINDINGS.md im Stack für Negativ-Beispiele).",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-102",
            "title": "entwickle eine AI-Code-Pair-Programming-Workbench",
            "prompt_number": 102,
            "prompt": "entwickle eine AI-Code-Pair-Programming-Workbench - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Split-View Editor+Chat mit Syntax-Highlighting (CodeMirror-Style), Diff-Viewer vor/nach KI-Vorschlag farbcodiert, Snippet-Bibliothek mit Tag-Suche, Sprachauswahl JS/Python/HTML/SQL, Inline-Erklärungs-Popover pro Codezeile, Test-Ausführungs-Mock mit Pass/Fail-Anzeige, Refactoring-Vorschläge als Kartenliste, Commit-Message-Generator aus Diff, Code-Komplexitäts-Score-Anzeige (ApexCharts Radial), Session-History mit Wiederherstellen, Keyboard-Shortcuts-Cheatsheet Overlay, GSAP Diff-Highlight-Animationen - USE CASE: Entwickler nutzen die App als Sandbox für KI-unterstütztes Pairing ohne IDE-Installation, Teams dokumentieren KI-Vorschläge nachvollziehbar für Code-Reviews.",
            "overview": "entwickle eine AI-Code-Pair-Programming-Workbench",
            "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
            "category_number": 1,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Entwickler nutzen die App als Sandbox für KI-unterstütztes Pairing ohne IDE-Installation, Teams dokumentieren KI-Vorschläge nachvollziehbar für Code-Reviews.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-103",
            "title": "programmiere ein Prompt-Engineering-Batch-Generator-Studio",
            "prompt_number": 103,
            "prompt": "programmiere ein Prompt-Engineering-Batch-Generator-Studio - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Prompt-Template-Editor mit Variablen-Platzhaltern {{variable}}, CSV-Import für Batch-Variablen mit Vorschau-Tabelle, Batch-Queue-Manager mit Fortschrittsbalken pro Job, Kosten-Schätzer vor Ausführung nach Modell/Tokenanzahl (ApexCharts Balken), Ergebnis-Diff zwischen Prompt-Varianten A/B-Test, Export aller Ergebnisse als CSV/JSON, Retry-Logik-Visualizer bei Fehlern, Template-Versionierung mit Rollback, Rate-Limit-Scheduler Verzögerung zwischen Calls, Duplikat-Erkennung ähnlicher Prompts (D3.js Ähnlichkeits-Cluster), GSAP Queue-Progress-Animationen - USE CASE: Content-Teams generieren hunderte Produktbeschreibungen aus einer Vorlage batch-weise, QA-Teams testen Prompt-Varianten systematisch vor Rollout.",
            "overview": "programmiere ein Prompt-Engineering-Batch-Generator-Studio",
            "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
            "category_number": 1,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Content-Teams generieren hunderte Produktbeschreibungen aus einer Vorlage batch-weise, QA-Teams testen Prompt-Varianten systematisch vor Rollout.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-104",
            "title": "baue einen Retrieval-Augmented-Chatbot-Builder mit Wissensdatenbank",
            "prompt_number": 104,
            "prompt": "baue einen Retrieval-Augmented-Chatbot-Builder mit Wissensdatenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokumenten-Upload-Zone mit Chunking-Strategie-Auswahl Größe/Overlap, Chunk-Preview-Liste durchsuchbar, Embedding-Fortschritt-Visualizer (ApexCharts Progress), Ähnlichkeitssuche-Tester mit Top-K-Ergebnissen und Score, Citation-Anzeige im Chat mit Quellenverweis-Badges, Wissensbasis-Statistiken Dokumente/Chunks/Größe (D3.js Donut), Reindexierungs-Button bei Dokumentänderung, Antwort-Grounding-Score wie viel aus Kontext vs Modell-Wissen, Konflikt-Erkennung widersprüchliche Quellen, Mehrsprachigkeits-Support Auto-Detect, Export Wissensbasis als JSON, GSAP Chunk-Highlight-Animationen - USE CASE: Support-Teams bauen firmeninternes Q&A-System über eigene Dokumentation, Berater erstellen kundenspezifische Wissens-Chatbots ohne Backend-Entwicklung.",
            "overview": "baue einen Retrieval-Augmented-Chatbot-Builder mit Wissensdatenbank",
            "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
            "category_number": 1,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Support-Teams bauen firmeninternes Q&A-System über eigene Dokumentation, Berater erstellen kundenspezifische Wissens-Chatbots ohne Backend-Entwicklung.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-105",
            "title": "erstelle ein AI-Voice-Assistant-Interface Mockup",
            "prompt_number": 105,
            "prompt": "erstelle ein AI-Voice-Assistant-Interface Mockup - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mikrofon-Aktivitäts-Visualizer Waveform Live (D3.js Canvas), Speech-to-Text-Transkript-Anzeige mit Zwischenspeicherung, Text-to-Speech-Playback-Steuerung Geschwindigkeit/Stimme, Wakeword-Simulation mit Trigger-Historie, Konversations-Verlauf als Chat-Bubbles mit Audio-Replay-Button, Intent-Erkennungs-Debug-Panel zeigt erkannte Absicht, Befehls-Bibliothek häufige Sprachbefehle als Karten, Latenz-Anzeige Antwortzeit (ApexCharts Sparkline), Offline-Fallback-Hinweis, Mehrsprachigkeit Umschalter DE/EN, Barrierefreiheits-Modus große Schrift, GSAP Waveform-Puls-Animationen - USE CASE: Produktteams demonstrieren Voice-UI-Konzepte ohne echte Spracherkennungs-Integration, Entwickler testen Konversationsabläufe visuell vor Backend-Anbindung.",
            "overview": "erstelle ein AI-Voice-Assistant-Interface Mockup",
            "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
            "category_number": 1,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Produktteams demonstrieren Voice-UI-Konzepte ohne echte Spracherkennungs-Integration, Entwickler testen Konversationsabläufe visuell vor Backend-Anbindung.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-106",
            "title": "entwickle ein Multi-Agent-Orchestrator-Dashboard",
            "prompt_number": 106,
            "prompt": "entwickle ein Multi-Agent-Orchestrator-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Agenten-Rollen-Übersicht Planner/Researcher/Coder/Reviewer als Karten, Task-Queue-Visualizer mit Status Pending/Running/Done/Failed (D3.js Kanban), Agent-zu-Agent-Kommunikations-Log chronologisch, Function-Calling-Protokoll mit Input/Output pro Aufruf, Abhängigkeits-Graph zwischen Tasks (D3.js Force-Directed), Kosten- & Latenz-Aggregation pro Agent (ApexCharts Stacked Bar), Fehler-Eskalations-Anzeige bei Agent-Blockade, Manuelle Eingriffs-Möglichkeit Task pausieren/überspringen, Ausführungs-Timeline Gantt-Ansicht, Agent-Konfigurations-Editor Rolle/System-Prompt/Tools, Export vollständiger Run-Protokolle, GSAP Task-Status-Übergangs-Animationen - USE CASE: Entwickler debuggen komplexe Multi-Agent-Workflows visuell statt in Log-Dateien, Teams zeigen Stakeholdern nachvollziehbar wie ein Agenten-System zu einem Ergebnis kam.",
            "overview": "entwickle ein Multi-Agent-Orchestrator-Dashboard",
            "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
            "category_number": 1,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Entwickler debuggen komplexe Multi-Agent-Workflows visuell statt in Log-Dateien, Teams zeigen Stakeholdern nachvollziehbar wie ein Agenten-System zu einem Ergebnis kam.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-107",
            "title": "programmiere einen AI-Übersetzer & Sprachlern-Assistenten",
            "prompt_number": 107,
            "prompt": "programmiere einen AI-Übersetzer & Sprachlern-Assistenten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sofort-Übersetzung Multi-Language mit Aussprache-Audio-Button, Vokabeltrainer mit Spaced-Repetition-Algorithmus SRS, Flashcard-Stapel nach Themen, Fortschritts-Statistik gelernte/fällige Wörter (ApexCharts Kalender-Heatmap), Satzbau-Analyse mit Grammatik-Hervorhebung, Konjugations-/Deklinations-Tabellen-Generator, Hör-Verstehen-Modus mit Lückentext, Aussprache-Bewertung Mock-Score, Lernstreak-Tracker mit Gamification-Badges, Themen-Wortschatzlisten Reise/Business/Alltag, Offline-Wortschatz-Cache, GSAP Karten-Flip-Animationen - USE CASE: Sprachlerner üben täglich mit personalisiertem Wiederholungssystem, Reisende nutzen die App als Offline-Phrasebuch mit Ausspracheunterstützung.",
            "overview": "programmiere einen AI-Übersetzer & Sprachlern-Assistenten",
            "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
            "category_number": 1,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Sprachlerner üben täglich mit personalisiertem Wiederholungssystem, Reisende nutzen die App als Offline-Phrasebuch mit Ausspracheunterstützung.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-108",
            "title": "baue einen KI-gestützten CRM-Copilot für Vertrieb",
            "prompt_number": 108,
            "prompt": "baue einen KI-gestützten CRM-Copilot für Vertrieb - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead-Scoring-Liste mit KI-Begründung pro Score (ApexCharts Balken), E-Mail-Entwurf-Generator basierend auf Kontakt-Historie, Meeting-Zusammenfassungs-Generator aus Notizen-Stichpunkten, Next-Best-Action-Vorschläge pro Kontakt, Einwand-Behandlungs-Bibliothek durchsuchbar, Vertriebs-Pipeline-Kanban mit Drag&Drop, Gesprächsleitfaden-Generator nach Kundentyp, Sentiment-Anzeige aus E-Mail-Verlauf, Follow-Up-Erinnerungs-Kalender, Deal-Wahrscheinlichkeits-Anzeige (D3.js Gauge), Team-Aktivitäts-Feed, GSAP Karten-Übergangs-Animationen - USE CASE: Vertriebsmitarbeiter priorisieren Leads datenbasiert statt nach Bauchgefühl, Sales-Teams standardisieren Kommunikation mit KI-Unterstützung ohne CRM-Systemwechsel.",
            "overview": "baue einen KI-gestützten CRM-Copilot für Vertrieb",
            "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
            "category_number": 1,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Vertriebsmitarbeiter priorisieren Leads datenbasiert statt nach Bauchgefühl, Sales-Teams standardisieren Kommunikation mit KI-Unterstützung ohne CRM-Systemwechsel.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-109",
            "title": "erstelle ein AI-Content-Moderation & Sicherheits-Dashboard",
            "prompt_number": 109,
            "prompt": "erstelle ein AI-Content-Moderation & Sicherheits-Dashboard - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Prompt-Injection-Detector-Log mit Risiko-Score pro Eingabe, Halluzinations-Warnsystem markiert unsichere Aussagen, Kosten-Monitor pro Modell/Team/Tag (ApexCharts Stacked Area), Rate-Limit-Verstoß-Historie, Content-Filter-Regeln-Editor Blocklist/Allowlist, Jailbreak-Versuch-Erkennungs-Log, PII-Erkennung in Nutzereingaben Warnhinweis, Audit-Trail aller Moderations-Entscheidungen, Modell-Vergleich Sicherheits-Score, Incident-Response-Checkliste bei Vorfall, Compliance-Export für Audits, GSAP Alert-Puls-Animationen - USE CASE: Plattform-Betreiber überwachen KI-Feature-Nutzung auf Missbrauch und Kosten, Compliance-Teams dokumentieren Sicherheitsmaßnahmen für Audits nachvollziehbar.",
            "overview": "erstelle ein AI-Content-Moderation & Sicherheits-Dashboard",
            "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
            "category_number": 1,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Plattform-Betreiber überwachen KI-Feature-Nutzung auf Missbrauch und Kosten, Compliance-Teams dokumentieren Sicherheitsmaßnahmen für Audits nachvollziehbar.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-110",
            "title": "entwickle einen Personal-AI-Knowledge-Assistant Second-Brain",
            "prompt_number": 110,
            "prompt": "entwickle einen Personal-AI-Knowledge-Assistant Second-Brain - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Notiz-Import Markdown/TXT mit Auto-Tagging via Keyword-Extraktion, Frage-Antwort-Interface über eigene Notizen mit Quellenverweis, Wissensgraph-Ansicht Verknüpfungen zwischen Notizen (D3.js Force-Directed Graph), Tägliche Review-Erinnerung wichtige Notizen, Volltextsuche mit Fuzzy-Matching, Themen-Cluster automatisch erkannt, Zeitleisten-Ansicht Notizen chronologisch, Backlink-Anzeige pro Notiz, Export als strukturiertes PDF, Duplikat-Erkennung ähnlicher Notizen, Lesezeit-Schätzung pro Sammlung, GSAP Graph-Node-Animationen - USE CASE: Wissensarbeiter bauen ein durchsuchbares persönliches Archiv aus Jahren an Notizen auf, Recherche-Teams finden Verbindungen zwischen Themen die sonst verborgen blieben. ## Kategorie 2: TRADING & QUANT-TERMINALS",
            "overview": "entwickle einen Personal-AI-Knowledge-Assistant Second-Brain",
            "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
            "category_number": 1,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Wissensarbeiter bauen ein durchsuchbares persönliches Archiv aus Jahren an Notizen auf, Recherche-Teams finden Verbindungen zwischen Themen die sonst verborgen blieben. ## Kategorie 2: TRADING & QUANT-TERMINALS",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-111",
            "title": "erstelle ein Multi-Timeframe-RSI-Momentum-Scanner-Terminal",
            "prompt_number": 111,
            "prompt": "erstelle ein Multi-Timeframe-RSI-Momentum-Scanner-Terminal - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: RSI-Berechnung 14/9/21-Perioden gleichzeitig über Timeframes 1H/4H/1D, Watchlist mit Live-Ampel überkauft/überverkauft/neutral, Divergenz-Erkennung Kurs vs RSI automatisch markiert (D3.js Overlay), Multi-Asset-Grid Aktien/Krypto/Forex parallel, Alert-Konfigurator Schwellenwert-basiert, Candlestick-Chart mit RSI-Subplot (ApexCharts Combo), Backtesting-Mini-Modul Trefferquote historisch, Export gefilterter Signale als CSV, Farbcodierte Heatmap-Übersicht Sektoren (D3.js Treemap), Positionsgrößen-Rechner integriert, GSAP Signal-Aufblink-Animationen - USE CASE: Trader scannen dutzende Assets gleichzeitig auf Einstiegssignale ohne mehrere Tabs, Einsteiger lernen RSI-Divergenzen visuell zu erkennen.",
            "overview": "erstelle ein Multi-Timeframe-RSI-Momentum-Scanner-Terminal",
            "category": "TRADING & QUANT-TERMINALS",
            "category_number": 2,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Trader scannen dutzende Assets gleichzeitig auf Einstiegssignale ohne mehrere Tabs, Einsteiger lernen RSI-Divergenzen visuell zu erkennen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-112",
            "title": "entwickle einen Markov-Chain-Kursprognose-Simulator",
            "prompt_number": 112,
            "prompt": "entwickle einen Markov-Chain-Kursprognose-Simulator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zustandsübergangs-Matrix-Editor Auf/Seitwärts/Ab-Wahrscheinlichkeiten, Monte-Carlo-Simulation 1000 Pfade (D3.js Fächer-Diagramm), Historische Kalibrierung aus eingegebenen Kursdaten, Konfidenzintervall-Band um Median-Pfad (ApexCharts Range Area), Zustandsverweildauer-Analyse durchschnittliche Tage pro Regime, Regime-Wechsel-Wahrscheinlichkeits-Heatmap, Vergleich Simuliert vs Tatsächlich Backtesting-Ansicht, Sensitivitäts-Analyse bei Matrix-Änderung Live-Update, Export Simulationsergebnisse CSV, Wahrscheinlichkeits-Baum-Visualisierung 3 Schritte voraus (D3.js Tree), GSAP Pfad-Zeichnungs-Animationen - USE CASE: Quant-affine Trader visualisieren stochastische Kursmodelle statt reiner Chartanalyse, Lernende verstehen Markov-Ketten anhand echter Marktdaten praktisch.",
            "overview": "entwickle einen Markov-Chain-Kursprognose-Simulator",
            "category": "TRADING & QUANT-TERMINALS",
            "category_number": 2,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Quant-affine Trader visualisieren stochastische Kursmodelle statt reiner Chartanalyse, Lernende verstehen Markov-Ketten anhand echter Marktdaten praktisch.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-113",
            "title": "programmiere einen Options-Pricing & Griechen-Rechner Professional",
            "prompt_number": 113,
            "prompt": "programmiere einen Options-Pricing & Griechen-Rechner Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Black-Scholes-Rechner Call/Put mit allen Eingabeparametern, Griechen-Dashboard Delta/Gamma/Theta/Vega/Rho mit Erklär-Tooltips, Payoff-Diagramm bei Verfall (ApexCharts Line), Implizite-Volatilität-Solver aus Marktpreis, Volatility-Smile-Visualizer über Strikes (D3.js Kurve), Zeit-Zerfall-Simulator Theta über verbleibende Laufzeit, Strategie-Baukasten Straddle/Strangle/Spread mit kombiniertem Payoff, Sensitivitäts-Slider Live-Neuberechnung bei Parameter-Änderung, Break-Even-Punkt-Anzeige, Vergleich amerikanische vs europäische Optionen, Historische-Volatilität-Rechner aus Kursreihe, GSAP Payoff-Kurven-Animationen - USE CASE: Optionshändler kalkulieren Strategien vor Orderaufgabe ohne Broker-Tool, Studierende lernen Optionsbewertung anhand interaktiver Griechen-Visualisierung.",
            "overview": "programmiere einen Options-Pricing & Griechen-Rechner Professional",
            "category": "TRADING & QUANT-TERMINALS",
            "category_number": 2,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Optionshändler kalkulieren Strategien vor Orderaufgabe ohne Broker-Tool, Studierende lernen Optionsbewertung anhand interaktiver Griechen-Visualisierung.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-114",
            "title": "baue einen Breakout-Scanner mit Pivot-Punkten Multi-Asset",
            "prompt_number": 114,
            "prompt": "baue einen Breakout-Scanner mit Pivot-Punkten Multi-Asset - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pivot-Punkt-Berechnung Standard/Fibonacci/Camarilla, Support-/Resistance-Level-Overlay auf Chart (ApexCharts Annotations), Breakout-Alert bei Level-Durchbruch mit Volumen-Bestätigung, Multi-Asset-Watchlist DAX/Dow/Nasdaq/Krypto parallel, Konsolidierungs-Erkennung enge Range vor Ausbruch, False-Breakout-Filter Mindest-Volumen-Schwelle, Historische Trefferquote pro Level-Typ (ApexCharts Balken), Zeitzonen-Anzeige für internationale Märkte, Volumen-Profil-Overlay (D3.js), Screenshot-Export für Trading-Journal, Sound-Alert-Simulation bei Trigger, GSAP Level-Break-Highlight-Animationen - USE CASE: Daytrader überwachen mehrere Märkte auf Ausbruchssignale gleichzeitig, Swing-Trader planen Einstiege anhand historisch verlässlicher Pivot-Level.",
            "overview": "baue einen Breakout-Scanner mit Pivot-Punkten Multi-Asset",
            "category": "TRADING & QUANT-TERMINALS",
            "category_number": 2,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Daytrader überwachen mehrere Märkte auf Ausbruchssignale gleichzeitig, Swing-Trader planen Einstiege anhand historisch verlässlicher Pivot-Level.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-115",
            "title": "erstelle einen Crypto-Portfolio-Tracker mit Risiko-Heatmap",
            "prompt_number": 115,
            "prompt": "erstelle einen Crypto-Portfolio-Tracker mit Risiko-Heatmap - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Holdings-Verwaltung BTC/ETH/Altcoins mit manueller Preis-Eingabe (Mock statt Live-API), Allokations-Donut nach Coin und nach Kategorie L1/DeFi/Meme (ApexCharts), Korrelations-Heatmap zwischen Coins (D3.js), Volatilitäts-Ranking 30-Tage-Rolling, Drawdown-Analyse historisch größte Verluste, Rebalancing-Vorschlag bei Zielgewicht-Abweichung, Steuerlot-Tracker FIFO für Verkaufsreihenfolge, Angst-&-Gier-Index-Anzeige Mock-Gauge, Diversifikations-Score Gesamtportfolio, Wal-Bewegungs-Log Mock-Einträge große Transaktionen, Export Portfolio-Snapshot PDF, GSAP Preis-Änderungs-Puls-Animationen - USE CASE: Krypto-Anleger behalten Risikokonzentration über viele Coins hinweg im Blick, Berater zeigen Kunden anschaulich warum Diversifikation auch bei Krypto zählt.",
            "overview": "erstelle einen Crypto-Portfolio-Tracker mit Risiko-Heatmap",
            "category": "TRADING & QUANT-TERMINALS",
            "category_number": 2,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Krypto-Anleger behalten Risikokonzentration über viele Coins hinweg im Blick, Berater zeigen Kunden anschaulich warum Diversifikation auch bei Krypto zählt.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-116",
            "title": "entwickle ein Saisonalitäts-Analyse-Terminal Monats-Quartals-Pattern",
            "prompt_number": 116,
            "prompt": "entwickle ein Saisonalitäts-Analyse-Terminal Monats-Quartals-Pattern - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Monatliche Durchschnittsrendite-Heatmap über 20+ Jahre (D3.js Kalender-Heatmap), Bester/Schlechtester-Monat-Ranking pro Asset, Quartalsvergleich-Chart Multi-Year-Overlay (ApexCharts), Vorwahljahr-Effekt US-Wahlzyklus-Visualizer, Sell-in-May-Analyse historisch, Santa-Claus-Rally-Tracker Dezember-Pattern, Wochentags-Effekt-Analyse Montag vs Freitag Renditen, Feiertags-Volatilitäts-Muster, Statistische Signifikanz-Anzeige pro Pattern, Custom-Zeitraum-Vergleichs-Tool, Export Saisonalitäts-Report PDF, GSAP Kalender-Zell-Animationen - USE CASE: Trader timen Positionen anhand statistisch robuster saisonaler Muster, Content-Ersteller erklären Kunden Marktzyklen mit belastbaren historischen Daten.",
            "overview": "entwickle ein Saisonalitäts-Analyse-Terminal Monats-Quartals-Pattern",
            "category": "TRADING & QUANT-TERMINALS",
            "category_number": 2,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Trader timen Positionen anhand statistisch robuster saisonaler Muster, Content-Ersteller erklären Kunden Marktzyklen mit belastbaren historischen Daten.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-117",
            "title": "programmiere einen Positionsgrößen & Risikomanagement-Rechner Pro",
            "prompt_number": 117,
            "prompt": "programmiere einen Positionsgrößen & Risikomanagement-Rechner Pro - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Positionsgröße-Rechner aus Kontogröße/Risiko-Prozent/Stop-Distanz, Risk-of-Ruin-Simulator bei Verlustserie (D3.js Monte-Carlo), Kelly-Kriterium-Rechner mit Fractional-Kelly-Option, R-Multiple-Tracker pro Trade Historie, Drawdown-Recovery-Rechner wie viel Prozent Gewinn nötig, Portfolio-Heat-Anzeige Gesamtrisiko offener Positionen (ApexCharts Gauge), Korrelierte-Positionen-Warner ähnliche Assets gleichzeitig offen, Trade-Journal mit Tags Setup/Emotion, Win-Rate-vs-Payoff-Ratio-Matrix Break-Even-Linie, Max-Verlust-pro-Tag-Limiter mit Sperr-Hinweis, Export Trading-Journal CSV, GSAP Risiko-Ampel-Animationen - USE CASE: Trader diszipliniert konsistente Positionsgrößen statt willkürlicher Beträge, Prop-Trading-Aspiranten üben Risikomanagement-Regeln vor echtem Kapitaleinsatz.",
            "overview": "programmiere einen Positionsgrößen & Risikomanagement-Rechner Pro",
            "category": "TRADING & QUANT-TERMINALS",
            "category_number": 2,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Trader diszipliniert konsistente Positionsgrößen statt willkürlicher Beträge, Prop-Trading-Aspiranten üben Risikomanagement-Regeln vor echtem Kapitaleinsatz.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-118",
            "title": "baue einen ETF-Sparplan-Vergleichs-Terminal mit TER-Impact",
            "prompt_number": 118,
            "prompt": "baue einen ETF-Sparplan-Vergleichs-Terminal mit TER-Impact - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Datenbank-Filter nach TER/Fondsgröße/Replikationsmethode/Ausschüttung, Kostenvergleich-Rechner TER-Impact über 30 Jahre (ApexCharts Flächendiagramm), Tracking-Difference-Anzeige vs offizielle TER, Sparplan-Rechner mit dynamischer Raten-Erhöhung, Core-Satellite-Portfolio-Builder Drag&Drop, Steuerliche-Vorabpauschale-Rechner Deutschland, Sparplan-Ausführungstermine-Vergleich Broker-Simulator, Historische-Rendite-Vergleich mehrerer ETFs (D3.js Multi-Line), Ausschüttungskalender thesaurierend vs ausschüttend, Rebalancing-Frequenz-Impact-Simulator, Export Sparplan-Konfiguration PDF, GSAP Kosten-Vergleichs-Balken-Animationen - USE CASE: Selbstentscheider vergleichen ETFs objektiv statt nach Werbung, Berater zeigen Kunden den langfristigen Kosteneffekt kleiner TER-Unterschiede.",
            "overview": "baue einen ETF-Sparplan-Vergleichs-Terminal mit TER-Impact",
            "category": "TRADING & QUANT-TERMINALS",
            "category_number": 2,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Selbstentscheider vergleichen ETFs objektiv statt nach Werbung, Berater zeigen Kunden den langfristigen Kosteneffekt kleiner TER-Unterschiede.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-119",
            "title": "erstelle eine Forex-Korrelations-Matrix & Carry-Trade-Finder",
            "prompt_number": 119,
            "prompt": "erstelle eine Forex-Korrelations-Matrix & Carry-Trade-Finder - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Währungspaar-Korrelations-Matrix Heatmap 20+ Paare (D3.js), Carry-Trade-Finder Zinsdifferenz-Ranking zwischen Ländern, Risiko-Sentiment-Anzeige Risk-On/Risk-Off Mock-Indikator, Historische-Korrelations-Verschiebung über Zeit (ApexCharts Line), Diversifikations-Check bei Multi-Pair-Positionen, Rollover-Zins-Rechner pro Position, Volatilitäts-Vergleich Paar-Ranking, Wirtschaftskalender-Impact-Simulator hohe/mittlere/niedrige Relevanz, Session-Overlap-Anzeige Tokyo/London/New York, Pip-Wert-Rechner nach Lot-Größe, Export Korrelations-Report, GSAP Matrix-Zell-Hover-Animationen - USE CASE: Forex-Trader vermeiden ungewollte Klumpenrisiken durch korrelierte Positionen, Carry-Trade-Interessierte identifizieren Zinsdifferenz-Chancen systematisch.",
            "overview": "erstelle eine Forex-Korrelations-Matrix & Carry-Trade-Finder",
            "category": "TRADING & QUANT-TERMINALS",
            "category_number": 2,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Forex-Trader vermeiden ungewollte Klumpenrisiken durch korrelierte Positionen, Carry-Trade-Interessierte identifizieren Zinsdifferenz-Chancen systematisch.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-120",
            "title": "entwickle eine Backtesting-Sandbox für Trading-Strategien No-Code",
            "prompt_number": 120,
            "prompt": "entwickle eine Backtesting-Sandbox für Trading-Strategien No-Code - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelbaukasten Einstieg/Ausstieg per Dropdown ohne Code MA-Crossover/RSI-Schwelle/Breakout, Backtesting-Ausführung auf hochgeladenen CSV-Kursdaten, Equity-Curve-Chart mit Drawdown-Unterlegung (ApexCharts), Kennzahlen-Dashboard Sharpe/Sortino/Max-Drawdown/Profit-Factor, Trade-für-Trade-Liste mit Ein-/Ausstiegs-Markierung im Chart, Parameter-Optimierungs-Grid Heatmap bester Kombinationen (D3.js), Walk-Forward-Analyse-Mock robuste vs überoptimierte Strategien, Vergleich mehrerer Strategie-Varianten Side-by-Side, Monte-Carlo-Robustheitstest Trade-Reihenfolge zufällig, Export Backtest-Report PDF, Strategie-Bibliothek speichern/laden, GSAP Equity-Curve-Zeichnungs-Animationen - USE CASE: Angehende Systematik-Trader testen Ideen ohne Programmierkenntnisse, Trading-Coaches demonstrieren live warum Overfitting bei Optimierung ein Risiko ist. ## Kategorie 3: FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "overview": "entwickle eine Backtesting-Sandbox für Trading-Strategien No-Code",
            "category": "TRADING & QUANT-TERMINALS",
            "category_number": 2,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Angehende Systematik-Trader testen Ideen ohne Programmierkenntnisse, Trading-Coaches demonstrieren live warum Overfitting bei Optimierung ein Risiko ist. ## Kategorie 3: FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-121",
            "title": "erstelle einen Investor-Pitchdeck-Generator interaktiv",
            "prompt_number": 121,
            "prompt": "erstelle einen Investor-Pitchdeck-Generator interaktiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Slide-Editor mit vordefinierten Pitch-Struktur-Templates Problem/Lösung/Markt/Traction/Team/Ask, Finanz-Projektions-Chart 3-5-Jahres-Forecast (ApexCharts), Cap-Table-Mini-Visualizer, TAM-SAM-SOM-Kreisdiagramm (D3.js), Traction-Metriken-Dashboard MRR/Nutzer/Wachstum, Wettbewerbs-Positionierungs-Matrix 2x2, Team-Slide-Builder mit Foto-Platzhaltern, Präsentations-Modus Vollbild mit Tastatur-Navigation, Notizen-Ansicht für Presenter, Export als druckbares PDF, Versionshistorie mehrerer Pitch-Varianten, GSAP Slide-Übergangs-Animationen - USE CASE: Gründer bauen ein konsistentes Pitchdeck ohne Design-Tool-Kenntnisse, Berater erstellen Investoren-Unterlagen für Kunden mit einheitlichem Corporate Design.",
            "overview": "erstelle einen Investor-Pitchdeck-Generator interaktiv",
            "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "category_number": 3,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Gründer bauen ein konsistentes Pitchdeck ohne Design-Tool-Kenntnisse, Berater erstellen Investoren-Unterlagen für Kunden mit einheitlichem Corporate Design.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-122",
            "title": "entwickle einen Genussschein-/Zertifikat-Ausgabe-Konfigurator",
            "prompt_number": 122,
            "prompt": "entwickle einen Genussschein-/Zertifikat-Ausgabe-Konfigurator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeichnungsformular Betrag/Laufzeit/Zinssatz-Variante, Renditesimulation über Laufzeit (ApexCharts Flächendiagramm), Risikohinweise-Sektion mit Pflicht-Checkbox vor Fortfahren, Zeichnungsvolumen-Fortschrittsbalken Kampagnen-Ziel, Zins-vs-Laufzeit-Vergleichsmatrix mehrerer Varianten, Steuerliche-Behandlung-Erklär-Panel, Rückzahlungsplan-Visualisierung (D3.js Timeline), Zeichner-Übersicht anonymisiert Verteilung nach Betragsgröße, Dokumenten-Download Prospekt/Bedingungen, Zeichnungsbestätigung-PDF-Generator, Sekundärmarkt-Hinweis-Panel, GSAP Fortschritts-Animationen - USE CASE: Emittenten präsentieren Zeichnungsangebote mit klarer Risikokommunikation, Interessenten simulieren Rendite-Szenarien vor Zeichnung.",
            "overview": "entwickle einen Genussschein-/Zertifikat-Ausgabe-Konfigurator",
            "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "category_number": 3,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Emittenten präsentieren Zeichnungsangebote mit klarer Risikokommunikation, Interessenten simulieren Rendite-Szenarien vor Zeichnung.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-123",
            "title": "programmiere einen Case-Study-Showcase-Builder",
            "prompt_number": 123,
            "prompt": "programmiere einen Case-Study-Showcase-Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorher-Nachher-Vergleichs-Slider visuell, ROI-Kennzahlen-Karten mit Animations-Counter, Kunden-Testimonial-Karussell mit Sternebewertung, Zeitleiste Projektverlauf Meilensteine (D3.js), Ergebnis-Chart-Baukasten Umsatz/Effizienz/Zufriedenheit (ApexCharts), Branchen-Filter für Case-Study-Bibliothek, PDF-Export einzelner Case Studies, Ähnliche-Case-Studies-Empfehlung, Video-Testimonial-Platzhalter-Player, Vergleichstabelle mehrere Case Studies nebeneinander, Lead-Erfassungs-Formular am Ende, GSAP Zahlen-Hochzähl-Animationen - USE CASE: Agenturen präsentieren Kundenerfolge überzeugend im Sales-Prozess, Marketing-Teams pflegen eine durchsuchbare Case-Study-Bibliothek zentral.",
            "overview": "programmiere einen Case-Study-Showcase-Builder",
            "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "category_number": 3,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Agenturen präsentieren Kundenerfolge überzeugend im Sales-Prozess, Marketing-Teams pflegen eine durchsuchbare Case-Study-Bibliothek zentral.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-124",
            "title": "baue eine Business-Plan-Workbench mit Finanzmodell",
            "prompt_number": 124,
            "prompt": "baue eine Business-Plan-Workbench mit Finanzmodell - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierter Business-Plan-Editor nach Kapiteln, 3-Jahres-Finanzmodell Umsatz/Kosten/Gewinn editierbar (ApexCharts Combo-Chart), Break-Even-Rechner mit Visualisierung, Liquiditätsplan monatlich erste 12 Monate, Personalkosten-Planer mit Einstellungs-Zeitplan, Szenario-Vergleich Best/Base/Worst-Case (D3.js Fächer), SWOT-Analyse-Matrix interaktiv, Finanzierungsbedarf-Rechner mit Runway-Anzeige, Meilenstein-Roadmap-Timeline, Export vollständiger Businessplan als PDF, Kennzahlen-Ampel-Dashboard Gesundheitscheck, GSAP Chart-Aufbau-Animationen - USE CASE: Gründer entwickeln einen bankfähigen Businessplan mit belastbarem Finanzmodell, Berater begleiten Existenzgründer strukturiert durch die Planungsphase.",
            "overview": "baue eine Business-Plan-Workbench mit Finanzmodell",
            "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "category_number": 3,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Gründer entwickeln einen bankfähigen Businessplan mit belastbarem Finanzmodell, Berater begleiten Existenzgründer strukturiert durch die Planungsphase.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-125",
            "title": "erstelle einen Whitepaper-Compliance-Dokument-Viewer",
            "prompt_number": 125,
            "prompt": "erstelle einen Whitepaper-Compliance-Dokument-Viewer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktives Inhaltsverzeichnis mit Sprungmarken, Lesefortschritt-Anzeige Scrollbalken-Prozent, Glossar-Popover für Fachbegriffe bei Hover, Abschnitts-Zusammenfassungen einklappbar, Versionsvergleich zwei Dokumentversionen Diff-Ansicht, Zitier-Funktion Textstelle kopieren mit Quellenangabe, Suchfunktion Volltext mit Ergebnis-Hervorhebung, Lesezeit-Schätzung pro Abschnitt, Download-Optionen PDF/Markdown, Bestätigungs-Log gelesen-und-verstanden mit Zeitstempel, Mehrsprachigkeits-Umschalter, GSAP Abschnitts-Einblend-Animationen - USE CASE: Compliance-Teams stellen sicher dass Mitarbeiter Richtliniendokumente nachweislich gelesen haben, Rechtsabteilungen veröffentlichen komplexe Whitepaper zugänglich strukturiert.",
            "overview": "erstelle einen Whitepaper-Compliance-Dokument-Viewer",
            "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "category_number": 3,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Compliance-Teams stellen sicher dass Mitarbeiter Richtliniendokumente nachweislich gelesen haben, Rechtsabteilungen veröffentlichen komplexe Whitepaper zugänglich strukturiert.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-126",
            "title": "entwickle einen Kapitalstruktur & Cap-Table-Visualizer für Startups",
            "prompt_number": 126,
            "prompt": "entwickle einen Kapitalstruktur & Cap-Table-Visualizer für Startups - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Cap-Table-Editor Gründer/Investoren/ESOP-Anteile, Verwässerungs-Simulator bei neuer Finanzierungsrunde (ApexCharts Stacked Bar über Runden), Liquidation-Preference-Rechner bei Exit-Szenarien, Anteilsentwicklung-Timeline über Runden (D3.js Sankey), ESOP-Pool-Planer Größe und Vesting-Schedule, Exit-Szenario-Rechner Verteilung des Erlöses nach Stakeholder, Pro-Rata-Rechte-Tracker Investoren, Down-Round-Impact-Simulator, Option-Vesting-Cliff-Visualizer pro Mitarbeiter, Vergleich Pre-Money vs Post-Money-Bewertung, Export Cap-Table als Excel-kompatibles CSV, GSAP Anteils-Verschiebungs-Animationen - USE CASE: Gründer verstehen Verwässerungseffekte vor Finanzierungsrunden-Verhandlungen, Investoren prüfen Cap-Table-Historie und Liquidationspräferenzen vor Investment-Entscheidung.",
            "overview": "entwickle einen Kapitalstruktur & Cap-Table-Visualizer für Startups",
            "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "category_number": 3,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Gründer verstehen Verwässerungseffekte vor Finanzierungsrunden-Verhandlungen, Investoren prüfen Cap-Table-Historie und Liquidationspräferenzen vor Investment-Entscheidung.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-127",
            "title": "programmiere ein Quartals-Strategiebericht-Dashboard mit OKR-Tracking",
            "prompt_number": 127,
            "prompt": "programmiere ein Quartals-Strategiebericht-Dashboard mit OKR-Tracking - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: OKR-Baum Objectives mit verknüpften Key Results (D3.js Hierarchie), Fortschritts-Ampel pro Key Result rot/gelb/grün, Quartalsvergleich-Chart Zielerreichung über Zeit (ApexCharts), Team-Beitrags-Übersicht wer treibt welches Ergebnis, Check-in-Historie wöchentliche Updates pro OKR, Confidence-Score-Trend pro Objective, Strategiekarte-Visualisierung Verknüpfung Vision zu Zielen, Risiko-Flag-System bei Rückstand, Kommentar-Thread pro Key Result, Export Quartalsbericht als Präsentation, Retrospektive-Sektion gelernte Lektionen, GSAP Fortschrittsbalken-Animationen - USE CASE: Führungsteams verfolgen strategische Ziele quartalsweise transparent statt in Excel-Listen, Mitarbeiter sehen wie ihr Beitrag auf übergeordnete Unternehmensziele einzahlt.",
            "overview": "programmiere ein Quartals-Strategiebericht-Dashboard mit OKR-Tracking",
            "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "category_number": 3,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Führungsteams verfolgen strategische Ziele quartalsweise transparent statt in Excel-Listen, Mitarbeiter sehen wie ihr Beitrag auf übergeordnete Unternehmensziele einzahlt.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-128",
            "title": "baue einen Fund-Performance-Report-Generator",
            "prompt_number": 128,
            "prompt": "baue einen Fund-Performance-Report-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Renditevergleich Fonds vs Benchmark über Zeitraum (ApexCharts Line-Overlay), Risikokennzahlen-Tabelle Volatilität/Sharpe/Max-Drawdown, Sektor- und Länderallokation (D3.js Treemap), Attributions-Analyse Outperformance-Quellen, Top-10-Holdings-Tabelle mit Gewichtung, Peer-Group-Vergleich Ranking-Perzentil, Ausschüttungshistorie-Chart, Kostenkennzahlen TER/Transaktionskosten transparent, Zeitraum-Selektor 1J/3J/5J/Seit Auflage, Automatischer Kommentar-Textbaustein basierend auf Kennzahlen, PDF-Export Factsheet-Format, GSAP Kennzahlen-Counter-Animationen - USE CASE: Fondsmanager erstellen regelmäßige Performance-Reports für Anleger konsistent, Vertriebsteams nutzen Factsheets als Verkaufsunterlage mit aktuellen Kennzahlen.",
            "overview": "baue einen Fund-Performance-Report-Generator",
            "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "category_number": 3,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Fondsmanager erstellen regelmäßige Performance-Reports für Anleger konsistent, Vertriebsteams nutzen Factsheets als Verkaufsunterlage mit aktuellen Kennzahlen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-129",
            "title": "erstelle eine Due-Diligence-Checkliste & Datenraum-Simulator",
            "prompt_number": 129,
            "prompt": "erstelle eine Due-Diligence-Checkliste & Datenraum-Simulator - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorisierte DD-Checkliste Finanzen/Recht/Personal/IT/Markt mit Fortschrittsbalken, Dokumenten-Ablagestruktur-Mockup Ordnerbaum (D3.js), Red-Flag-Markierungs-System pro Punkt mit Kommentarfeld, Zugriffsprotokoll-Simulation wer hat was wann eingesehen, Fragen-Antworten-Log Q&A-Prozess strukturiert, Fortschritts-Dashboard Gesamtstatus über alle Kategorien (ApexCharts Radial), Risiko-Bewertungs-Matrix Impact vs Wahrscheinlichkeit, Verantwortlichkeiten-Zuweisung pro Checklistenpunkt, Termin-Tracker Deadline pro Workstream, Export Due-Diligence-Report Zusammenfassung, Vertraulichkeitsstufen-Kennzeichnung Dokumente, GSAP Checklisten-Abhak-Animationen - USE CASE: M&A-Teams strukturieren Due-Diligence-Prozesse nachvollziehbar für alle Beteiligten, Käufer und Verkäufer behalten Übersicht über offene Punkte im Transaktionsprozess.",
            "overview": "erstelle eine Due-Diligence-Checkliste & Datenraum-Simulator",
            "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "category_number": 3,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "M&A-Teams strukturieren Due-Diligence-Prozesse nachvollziehbar für alle Beteiligten, Käufer und Verkäufer behalten Übersicht über offene Punkte im Transaktionsprozess.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-130",
            "title": "entwickle einen Marketing-GTM-Playbook-Builder interaktiv",
            "prompt_number": 130,
            "prompt": "entwickle einen Marketing-GTM-Playbook-Builder interaktiv - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zielgruppen-Persona-Builder mit Steckbrief-Karten, Kanal-Strategie-Matrix Reichweite vs Kosten pro Kanal (D3.js Scatter), Content-Kalender-Planer Drag&Drop nach Wochen, Funnel-Visualisierung Awareness bis Conversion mit Konversionsraten (ApexCharts Funnel), Budget-Allokations-Rechner nach Kanal, Kampagnen-Timeline mit Meilensteinen, Messaging-Framework-Editor Value Proposition pro Segment, Wettbewerbs-Vergleichstabelle Positionierung, KPI-Zielvorgaben-Dashboard pro Kanal, Launch-Checkliste mit Verantwortlichkeiten, Export Playbook als Team-Handbuch PDF, GSAP Funnel-Fluss-Animationen - USE CASE: Marketing-Teams entwickeln einen strukturierten Go-To-Market-Plan für neue Produkte, Führungskräfte erhalten eine klare Übersicht über Kanal-Budget-Allokation vor Freigabe. ## Kategorie 4: DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "overview": "entwickle einen Marketing-GTM-Playbook-Builder interaktiv",
            "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
            "category_number": 3,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Marketing-Teams entwickeln einen strukturierten Go-To-Market-Plan für neue Produkte, Führungskräfte erhalten eine klare Übersicht über Kanal-Budget-Allokation vor Freigabe. ## Kategorie 4: DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-131",
            "title": "erstelle einen JWT-Decoder & Token-Debugger Pro",
            "prompt_number": 131,
            "prompt": "erstelle einen JWT-Decoder & Token-Debugger Pro - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Live-Decodierung Header/Payload/Signature farbcodiert, Signatur-Prüfung mit eingegebenem Secret HS256/RS256, Ablaufzeit-Countdown mit Warnfarbe bei baldigem Expiry, Claims-Editor zum Testen modifizierter Payloads, Token-Historie letzte 20 dekodierte Tokens, Algorithmus-Vergleichstabelle Sicherheitsempfehlungen, Base64URL-Encoder/Decoder-Zusatztool, Token-Größen-Analyse Header/Payload/Signature-Anteile (ApexCharts Donut), Bekannte-Schwachstellen-Warnhinweise alg-none-Angriff etc., Copy-to-Clipboard pro Sektion, Dunkles Entwickler-Theme, GSAP Decodier-Animationen - USE CASE: Backend-Entwickler debuggen Auth-Probleme ohne Token in unsichere Online-Tools einzufügen, Sicherheitsteams prüfen Token-Konfiguration auf bekannte Schwachstellen lokal.",
            "overview": "erstelle einen JWT-Decoder & Token-Debugger Pro",
            "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "category_number": 4,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Backend-Entwickler debuggen Auth-Probleme ohne Token in unsichere Online-Tools einzufügen, Sicherheitsteams prüfen Token-Konfiguration auf bekannte Schwachstellen lokal.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-132",
            "title": "entwickle eine API-Request-Sandbox REST-Client",
            "prompt_number": 132,
            "prompt": "entwickle eine API-Request-Sandbox REST-Client - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Request-Builder Methode/URL/Header/Body mit Syntax-Highlighting, Umgebungsvariablen-Verwaltung Dev/Staging/Prod, Response-Viewer formatiert JSON mit Kollabier-Funktion, Response-Zeit-Historie-Chart pro Endpoint (ApexCharts Sparkline), Request-Collections-Ordnerstruktur, Diff-Ansicht zwischen zwei Responses, Header-Bibliothek häufige Presets Auth/Content-Type, cURL-Export generiert Copy-Paste-Befehl, Status-Code-Verteilungs-Dashboard über Session (D3.js), Mock-Response-Modus für Offline-Entwicklung, Request-Verlauf durchsuchbar, GSAP Response-Einblend-Animationen - USE CASE: Entwickler testen APIs während der Entwicklung ohne externe Tools zu installieren, QA-Teams dokumentieren Request-Collections für Regressionstests.",
            "overview": "entwickle eine API-Request-Sandbox REST-Client",
            "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "category_number": 4,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Entwickler testen APIs während der Entwicklung ohne externe Tools zu installieren, QA-Teams dokumentieren Request-Collections für Regressionstests.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-133",
            "title": "programmiere einen interaktiven Coding-Kurs-Player mit Live-Editor",
            "prompt_number": 133,
            "prompt": "programmiere einen interaktiven Coding-Kurs-Player mit Live-Editor - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Lektion-Sidebar mit Fortschritts-Checkmarks, Live-Code-Editor mit sofortiger Ausführung im Browser, Test-Runner zeigt Pass/Fail pro Aufgabe farbcodiert, Hint-System gestaffelte Tipps bei Bedarf, Lösungs-Vergleich nach eigenem Versuch, XP-/Level-System mit Fortschrittsbalken (ApexCharts Radial), Lernpfad-Baum-Visualisierung Abhängigkeiten zwischen Lektionen (D3.js), Zeit-pro-Lektion-Tracking, Zertifikat-Generator bei Kursabschluss, Code-Playground frei zum Experimentieren, Diskussions-Notizen pro Lektion, GSAP Fortschritts-Level-Up-Animationen - USE CASE: Lernplattformen bieten praxisnahes Coding-Training mit sofortigem Feedback, Selbstlerner verfolgen ihren Fortschritt strukturiert durch einen Lernpfad.",
            "overview": "programmiere einen interaktiven Coding-Kurs-Player mit Live-Editor",
            "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "category_number": 4,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Lernplattformen bieten praxisnahes Coding-Training mit sofortigem Feedback, Selbstlerner verfolgen ihren Fortschritt strukturiert durch einen Lernpfad.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-134",
            "title": "baue einen Prüfungssimulator mit adaptivem Schwierigkeitsgrad",
            "prompt_number": 134,
            "prompt": "baue einen Prüfungssimulator mit adaptivem Schwierigkeitsgrad - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fragenkatalog nach Fach/Thema kategorisiert, Adaptive Schwierigkeits-Anpassung basierend auf Antwortverlauf, Timer pro Frage und Gesamtprüfung, Sofort-Feedback mit Erklärung bei falscher Antwort, Schwachstellen-Analyse nach Prüfung Themen-Heatmap (D3.js), Fortschritts-Chart über mehrere Prüfungsversuche (ApexCharts Line), Fragenpool-Statistik Schwierigkeitsverteilung, Simulierte-Prüfungsbedingungen-Modus ohne Pause, Falsch-beantwortete-Fragen-Wiederholungsmodus, Zertifikats-Vorbereitungs-Fortschrittsanzeige, Multiple-Choice und Freitext-Fragetypen, GSAP Antwort-Feedback-Animationen - USE CASE: Prüfungskandidaten bereiten sich realistisch auf IHK-/Sachkunde-Prüfungen vor, Bildungsanbieter identifizieren individuelle Wissenslücken zur gezielten Nachschulung.",
            "overview": "baue einen Prüfungssimulator mit adaptivem Schwierigkeitsgrad",
            "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "category_number": 4,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Prüfungskandidaten bereiten sich realistisch auf IHK-/Sachkunde-Prüfungen vor, Bildungsanbieter identifizieren individuelle Wissenslücken zur gezielten Nachschulung.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-135",
            "title": "erstelle ein Formel-Wissens-Nachschlagewerk mit LaTeX-Rendering",
            "prompt_number": 135,
            "prompt": "erstelle ein Formel-Wissens-Nachschlagewerk mit LaTeX-Rendering - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Formel-Datenbank kategorisiert Mathematik/Physik/Finanzen, LaTeX-Rendering für saubere Formel-Darstellung, Interaktiver Formel-Rechner Variablen eingeben Ergebnis live, Herleitungs-Schritte einklappbar pro Formel, Verwandte-Formeln-Verlinkung Graph-Ansicht (D3.js), Volltextsuche über Formelnamen und Anwendungsgebiete, Lesezeichen-Sammlung häufig genutzte Formeln, Beispielaufgaben pro Formel mit Lösungsweg, Einheiten-Umrechner-Zusatztool, Druckansicht Formelsammlung als PDF, Dunkles Lese-Theme augenschonend, GSAP Formel-Einblend-Animationen - USE CASE: Studierende nutzen die App als digitale Formelsammlung in Prüfungsvorbereitung, Praktiker schlagen Finanzformeln mit sofortiger Berechnungsmöglichkeit nach.",
            "overview": "erstelle ein Formel-Wissens-Nachschlagewerk mit LaTeX-Rendering",
            "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "category_number": 4,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Studierende nutzen die App als digitale Formelsammlung in Prüfungsvorbereitung, Praktiker schlagen Finanzformeln mit sofortiger Berechnungsmöglichkeit nach.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-136",
            "title": "entwickle einen interaktiven Vibe-Coding-Guide Schritt-für-Schritt",
            "prompt_number": 136,
            "prompt": "entwickle einen interaktiven Vibe-Coding-Guide Schritt-für-Schritt - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Workflow-Stepper Idee-zu-Spezifikation-zu-Code-zu-Prüfung-zu-Handoff, Prompt-Vorlagen-Bibliothek pro Schritt mit Copy-Button, Vorher-Nachher-Beispiele guter vs schlechter Prompts, Checklisten-Sidebar pro Phase, Best-Practice-Tipps als aufklappbare Karten, Fortschritts-Tracker eigenes Projekt durch die Phasen (ApexCharts Stepper), Häufige-Fehler-Galerie mit Erklärung, Interaktives Glossar KI-Coding-Begriffe, Zeitersparnis-Rechner geschätzt vs traditionelle Entwicklung, Community-Tipps-Sektion Platzhalter-Einträge, Export eigener Workflow-Notizen, GSAP Stepper-Übergangs-Animationen - USE CASE: Entwickler-Teams etablieren einen konsistenten KI-unterstützten Entwicklungs-Workflow, Onboarding neuer Teammitglieder in KI-gestützte Coding-Praktiken wird strukturiert.",
            "overview": "entwickle einen interaktiven Vibe-Coding-Guide Schritt-für-Schritt",
            "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "category_number": 4,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Entwickler-Teams etablieren einen konsistenten KI-unterstützten Entwicklungs-Workflow, Onboarding neuer Teammitglieder in KI-gestützte Coding-Praktiken wird strukturiert.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-137",
            "title": "programmiere einen Regex-Tester & Cheat-Sheet-Builder",
            "prompt_number": 137,
            "prompt": "programmiere einen Regex-Tester & Cheat-Sheet-Builder - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Live-Regex-Tester mit Highlight der Treffer im Testtext, Gruppen-Erfassungs-Anzeige nummeriert und benannt, Regex-Erklärung-Panel zerlegt Pattern in verständliche Teile, Häufige-Patterns-Bibliothek E-Mail/URL/Telefonnummer copy-paste, Flags-Umschalter global/case-insensitive/multiline live, Ersetzungs-Vorschau mit Capture-Group-Referenzen, Performance-Warnung bei potenziell langsamem Pattern catastrophic backtracking, Eigene-Patterns-Sammlung speichern mit Namen, Sprachvergleich Syntax-Unterschiede JS/Python/PHP, Test-Fälle-Batch mehrere Testtexte gleichzeitig, Export Cheat-Sheet als PDF, GSAP Treffer-Highlight-Animationen - USE CASE: Entwickler entwickeln und testen komplexe Regex-Patterns visuell statt durch Trial-and-Error im Code, Teams bauen eine gemeinsame Pattern-Bibliothek für wiederkehrende Validierungen.",
            "overview": "programmiere einen Regex-Tester & Cheat-Sheet-Builder",
            "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "category_number": 4,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Entwickler entwickeln und testen komplexe Regex-Patterns visuell statt durch Trial-and-Error im Code, Teams bauen eine gemeinsame Pattern-Bibliothek für wiederkehrende Validierungen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-138",
            "title": "baue einen Embedding-Vektorsuche-Playground",
            "prompt_number": 138,
            "prompt": "baue einen Embedding-Vektorsuche-Playground - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Text-Eingabe-Liste zum Vergleichen mehrerer Sätze, Cosine-Similarity-Matrix zwischen allen Eingaben (D3.js Heatmap), 2D-Projektions-Visualisierung Embeddings-Cluster (D3.js Scatter mit Mock-Dimensionsreduktion), Nächste-Nachbarn-Suche Top-K-Ergebnisse mit Score, Chunking-Strategie-Vergleich Satz vs Absatz vs Fixed-Size, Ähnlichkeits-Schwellenwert-Slider Live-Filterung, Vektordimensions-Erklär-Panel, Batch-Import Textliste aus Datei, Cluster-Erkennung automatisch gruppiert ähnliche Texte, Export Similarity-Matrix als CSV, Farbcodierte Ähnlichkeits-Legende, GSAP Cluster-Bildungs-Animationen - USE CASE: Entwickler verstehen Embedding-basierte Suche visuell bevor sie RAG-Systeme bauen, Data-Scientists testen Chunking-Strategien vor Produktiv-Einsatz.",
            "overview": "baue einen Embedding-Vektorsuche-Playground",
            "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "category_number": 4,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Entwickler verstehen Embedding-basierte Suche visuell bevor sie RAG-Systeme bauen, Data-Scientists testen Chunking-Strategien vor Produktiv-Einsatz.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-139",
            "title": "erstelle einen Git-Workflow-Simulator Branch-Visualizer",
            "prompt_number": 139,
            "prompt": "erstelle einen Git-Workflow-Simulator Branch-Visualizer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktiver Branch-Graph-Visualizer Commits als Knoten (D3.js), Simulierte Git-Befehle Branch/Merge/Rebase mit visueller Auswirkung, Merge-Konflikt-Trainer künstliche Konflikte lösen im Editor, Commit-Historie-Zeitleiste mit Nachrichten, Branching-Strategie-Vorlagen GitFlow/Trunk-Based als Diagramm, Befehls-Cheat-Sheet kontextsensitiv zur aktuellen Situation, Undo-Redo für Simulationsschritte, Szenario-Bibliothek häufige Git-Probleme zum Üben, Fortschritts-Tracker abgeschlossene Übungen, Erklär-Tooltips bei jedem simulierten Befehl, Export Diagramm als Bild, GSAP Branch-Erstellungs-Animationen - USE CASE: Einsteiger lernen Git-Konzepte gefahrlos ohne echtes Repository zu riskieren, Teams üben Merge-Konflikt-Auflösung in einer sicheren Sandbox vor echten Projekten.",
            "overview": "erstelle einen Git-Workflow-Simulator Branch-Visualizer",
            "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "category_number": 4,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Einsteiger lernen Git-Konzepte gefahrlos ohne echtes Repository zu riskieren, Teams üben Merge-Konflikt-Auflösung in einer sicheren Sandbox vor echten Projekten.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-140",
            "title": "entwickle einen Docs-Doctor Dokumentations-Qualitäts-Scanner",
            "prompt_number": 140,
            "prompt": "entwickle einen Docs-Doctor Dokumentations-Qualitäts-Scanner - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Markdown-Upload-Analyse Lesbarkeits-Score Flesch-Kincaid-artig, Struktur-Check fehlende Überschriften-Ebenen oder Abschnitte, Lücken-Finder erwähnte aber nicht erklärte Begriffe, Link-Validitäts-Check interne Anker vorhanden, Konsistenz-Prüfung Terminologie einheitlich verwendet, Vollständigkeits-Checkliste Standard-Abschnitte vorhanden Installation/Nutzung/API, Wortwiederholungs-Analyse Stil-Verbesserung, Qualitäts-Score-Verlauf bei mehreren Scans über Zeit (ApexCharts Line), Vergleich mehrerer Dokumente Ranking (D3.js Balken), Verbesserungsvorschläge priorisiert nach Impact, Export Analyse-Report PDF, GSAP Score-Reveal-Animationen - USE CASE: Entwickler-Teams verbessern README- und API-Dokumentation systematisch vor Release, Technical Writer identifizieren Qualitätslücken über viele Dokumente hinweg schnell. ## Kategorie 5: NEWS, DATENFEEDS & OSINT",
            "overview": "entwickle einen Docs-Doctor Dokumentations-Qualitäts-Scanner",
            "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
            "category_number": 4,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Entwickler-Teams verbessern README- und API-Dokumentation systematisch vor Release, Technical Writer identifizieren Qualitätslücken über viele Dokumente hinweg schnell. ## Kategorie 5: NEWS, DATENFEEDS & OSINT",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-141",
            "title": "erstelle einen Multi-Source-News-Aggregator mit Sentiment-Ampel",
            "prompt_number": 141,
            "prompt": "erstelle einen Multi-Source-News-Aggregator mit Sentiment-Ampel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: News-Feed-Grid nach Quelle/Kategorie filterbar, Sentiment-Ampel pro Artikel positiv/neutral/negativ Mock-Klassifikation, Themen-Cluster-Ansicht verwandte Artikel gruppiert, Sentiment-Verlauf über Zeit pro Thema (ApexCharts Line), Lesezeit-Schätzung pro Artikel, Wichtigkeits-Score-Ranking Top-Meldungen hervorgehoben, Eigene-Themen-Watchlist mit Push-ähnlicher Hervorhebung, Quellen-Vertrauenswürdigkeits-Kennzeichnung, Artikel-Speicher-Funktion Später-Lesen-Liste, Volltext-Suche über gespeicherte Artikel, Export Tages-Briefing als PDF-Zusammenfassung, GSAP Feed-Einblend-Animationen - USE CASE: Analysten überblicken relevante Nachrichten zu Beobachtungsthemen ohne viele Seiten zu besuchen, Kommunikationsteams verfolgen Sentiment-Entwicklung zu Unternehmensthemen.",
            "overview": "erstelle einen Multi-Source-News-Aggregator mit Sentiment-Ampel",
            "category": "NEWS, DATENFEEDS & OSINT",
            "category_number": 5,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Analysten überblicken relevante Nachrichten zu Beobachtungsthemen ohne viele Seiten zu besuchen, Kommunikationsteams verfolgen Sentiment-Entwicklung zu Unternehmensthemen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-142",
            "title": "entwickle eine OSINT-Recherche-Matrix Verknüpfungs-Graph",
            "prompt_number": 142,
            "prompt": "entwickle eine OSINT-Recherche-Matrix Verknüpfungs-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entitäten-Erfassung Personen/Firmen/Orte als Knoten anlegen, Beziehungs-Graph zwischen Entitäten (D3.js Force-Directed), Zeitleisten-Ansicht bekannter Ereignisse pro Entität, Quellen-Dokumentation pro Verknüpfung mit Link, Notiz-Anhänge pro Knoten, Suchfunktion über alle erfassten Entitäten, Export Graph als Bild für Berichte, Verdachtsgrad-Kennzeichnung pro Verbindung bestätigt/vermutet, Cluster-Erkennung eng verbundener Gruppen, Zeitstempel-Historie wann Info hinzugefügt wurde, Vertraulichkeitsstufen-Markierung, GSAP Graph-Aufbau-Animationen - USE CASE: Investigative Recherche-Teams visualisieren komplexe Beziehungsnetzwerke aus öffentlich verfügbaren Quellen, Compliance-Abteilungen dokumentieren Zusammenhänge bei Sanktionsprüfungen nachvollziehbar.",
            "overview": "entwickle eine OSINT-Recherche-Matrix Verknüpfungs-Graph",
            "category": "NEWS, DATENFEEDS & OSINT",
            "category_number": 5,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Investigative Recherche-Teams visualisieren komplexe Beziehungsnetzwerke aus öffentlich verfügbaren Quellen, Compliance-Abteilungen dokumentieren Zusammenhänge bei Sanktionsprüfungen nachvollziehbar.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-143",
            "title": "programmiere einen Wetter-zu-Handelssignal-Korrelator",
            "prompt_number": 143,
            "prompt": "programmiere einen Wetter-zu-Handelssignal-Korrelator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wetterdaten-Eingabe Temperatur/Niederschlag pro Region, Rohstoffpreis-Overlay Agrarrohstoffe/Energie (ApexCharts Dual-Axis), Historische-Korrelations-Berechnung Wetter vs Preis, Saisonale-Muster-Erkennung Dürre/Frost-Perioden markiert, Regions-Karte betroffene Anbaugebiete (D3.js Choropleth Mock), Wetterextrem-Alert-Log historische Ereignisse mit Preisauswirkung, Vergleichs-Tool mehrere Rohstoffe gleichzeitig, Korrelations-Stärke-Anzeige mit Konfidenz, Prognose-Szenario bei angenommenem Wetterereignis, Export Analyse-Chart, Glossar Wetter-Fachbegriffe für Trader, GSAP Karten-Highlight-Animationen - USE CASE: Rohstoffhändler verstehen Wetterrisiken für Agrar- und Energiepreise strukturiert, Analysten erstellen Research-Notes mit historischer Evidenz zu Wetter-Preis-Zusammenhängen.",
            "overview": "programmiere einen Wetter-zu-Handelssignal-Korrelator",
            "category": "NEWS, DATENFEEDS & OSINT",
            "category_number": 5,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Rohstoffhändler verstehen Wetterrisiken für Agrar- und Energiepreise strukturiert, Analysten erstellen Research-Notes mit historischer Evidenz zu Wetter-Preis-Zusammenhängen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-144",
            "title": "baue ein Live-Wetter-Radar-Dashboard mit Warnstufen",
            "prompt_number": 144,
            "prompt": "baue ein Live-Wetter-Radar-Dashboard mit Warnstufen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regionale-Wetterkarte mit Radar-Overlay-Mockup, Warnstufen-Ampel-System nach Schweregrad, 7-Tage-Vorhersage-Karten mit Icons, Historische-Wetterdaten-Chart Temperaturverlauf (ApexCharts), Extremwetter-Wahrscheinlichkeits-Anzeige, Standort-Favoriten-Verwaltung mehrere Orte, Push-Warnung-Simulation bei Unwetter-Ankündigung, Aktivitäts-Empfehlung basierend auf Wetter Outdoor-geeignet Ja/Nein, Luftqualitäts-Index-Anzeige zusätzlich, Sonnenauf-/untergangszeiten-Rechner, Export Wetterbericht als Bild zum Teilen, GSAP Warnstufen-Puls-Animationen - USE CASE: Nutzer planen Aktivitäten anhand verlässlicher Kurz- und Mittelfrist-Prognosen, Einsatzplaner in Außendienstberufen prüfen Warnstufen vor Terminplanung.",
            "overview": "baue ein Live-Wetter-Radar-Dashboard mit Warnstufen",
            "category": "NEWS, DATENFEEDS & OSINT",
            "category_number": 5,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Nutzer planen Aktivitäten anhand verlässlicher Kurz- und Mittelfrist-Prognosen, Einsatzplaner in Außendienstberufen prüfen Warnstufen vor Terminplanung.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-145",
            "title": "erstelle einen Gesetzes-Regulatorik-Tracker mit Diff-Ansicht",
            "prompt_number": 145,
            "prompt": "erstelle einen Gesetzes-Regulatorik-Tracker mit Diff-Ansicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gesetzesänderungs-Feed nach Rechtsgebiet kategorisiert, Diff-Ansicht alte vs neue Gesetzesfassung farbcodiert, Relevanz-Filter nach Branche/Abteilung, Zeitleiste anstehender Inkrafttretungs-Termine (D3.js), Auswirkungs-Einschätzung Ampel-System pro Änderung, Kommentarfunktion interne Einschätzung pro Thema, Verantwortlichkeits-Zuweisung wer prüft welche Änderung, Volltextsuche über erfasste Regularien, Erinnerungs-Kalender vor Inkrafttreten, Compliance-Status-Dashboard umgesetzt/in Bearbeitung/offen (ApexCharts), Export Regulatorik-Report für Management, GSAP Diff-Highlight-Animationen - USE CASE: Compliance-Teams verfolgen relevante Gesetzesänderungen systematisch statt Newsletter zu durchforsten, Rechtsabteilungen dokumentieren Umsetzungsstatus für Audits nachvollziehbar.",
            "overview": "erstelle einen Gesetzes-Regulatorik-Tracker mit Diff-Ansicht",
            "category": "NEWS, DATENFEEDS & OSINT",
            "category_number": 5,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Compliance-Teams verfolgen relevante Gesetzesänderungen systematisch statt Newsletter zu durchforsten, Rechtsabteilungen dokumentieren Umsetzungsstatus für Audits nachvollziehbar.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-146",
            "title": "entwickle einen Feiertags & Handelskalender-Planer International",
            "prompt_number": 146,
            "prompt": "entwickle einen Feiertags & Handelskalender-Planer International - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mehrländer-Feiertagskalender mit Börsenöffnungszeiten, Handelsfreie-Tage-Übersicht nach Börse DAX/Dow/Nikkei, Überschneidungs-Finder Feiertage mehrerer Länder, Liquiditäts-Warnung an Tagen mit reduziertem Handel, Zeitzonen-Umrechner für internationale Meetings, Export Kalender als ICS-Datei, Jahresübersicht-Heatmap Handelstage vs Feiertage (D3.js Kalender), Individuelle-Ereignisse hinzufügen eigene Termine, Erinnerungs-Funktion vor wichtigen Terminen, Vergleich Handelstage-Anzahl pro Börse und Jahr (ApexCharts Balken), Brückentag-Planer-Hinweis, GSAP Kalender-Monatswechsel-Animationen - USE CASE: Internationale Trading-Teams planen Handelsaktivität um globale Feiertage herum, Reisebüros und Vertriebsteams koordinieren Termine über Zeitzonen und Feiertage hinweg.",
            "overview": "entwickle einen Feiertags & Handelskalender-Planer International",
            "category": "NEWS, DATENFEEDS & OSINT",
            "category_number": 5,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Internationale Trading-Teams planen Handelsaktivität um globale Feiertage herum, Reisebüros und Vertriebsteams koordinieren Termine über Zeitzonen und Feiertage hinweg.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-147",
            "title": "programmiere ein Space-Weather & NASA-Datenfeed-Dashboard",
            "prompt_number": 147,
            "prompt": "programmiere ein Space-Weather & NASA-Datenfeed-Dashboard - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sonnenaktivitäts-Anzeige Sonnenflecken-Index Mock-Daten, Geomagnetischer-Sturm-Warnstufen-Ampel, ISS-Position-Tracker-Mockup mit Umlaufbahn-Karte (D3.js), Erdnahe-Objekte-Liste NEO mit Größe/Distanz, Weltraumwetter-Auswirkungs-Erklärung GPS/Funk/Stromnetz, Historische-Sonnensturm-Ereignisse-Zeitleiste, Aurora-Sichtbarkeits-Wahrscheinlichkeits-Karte nach Breitengrad, Mond-Phasen-Kalender, Satelliten-Anzahl-Statistik nach Umlaufbahn-Typ (ApexCharts Donut), Bildungs-Glossar Weltraumwetter-Begriffe, Export Tagesreport, GSAP Orbit-Animationen - USE CASE: Weltraum-Enthusiasten verfolgen aktuelle Sonnenaktivität und Aurora-Chancen verständlich aufbereitet, Bildungseinrichtungen nutzen das Dashboard als anschauliches Lehrmittel für Astronomie.",
            "overview": "programmiere ein Space-Weather & NASA-Datenfeed-Dashboard",
            "category": "NEWS, DATENFEEDS & OSINT",
            "category_number": 5,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Weltraum-Enthusiasten verfolgen aktuelle Sonnenaktivität und Aurora-Chancen verständlich aufbereitet, Bildungseinrichtungen nutzen das Dashboard als anschauliches Lehrmittel für Astronomie.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-148",
            "title": "baue einen Finanznachrichten-Analyzer mit Kursreaktions-Overlay",
            "prompt_number": 148,
            "prompt": "baue einen Finanznachrichten-Analyzer mit Kursreaktions-Overlay - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Nachrichten-Feed mit Zeitstempel gekoppelt an Kurschart, Kursreaktion-Overlay zeigt Bewegung nach Meldung (ApexCharts Annotations), Kategorisierung Gewinnwarnung/Übernahme/Regulatorik/Makro, Historische-Ähnliche-Ereignisse-Finder Pattern-Matching Mock, Überraschungs-Score geplant vs unerwartet, Volumen-Spike-Korrelation mit Newsflow (D3.js), Sentiment-vs-Kursreaktion-Scatter-Plot, Watchlist-Integration nur relevante Assets, Nachrichten-Wichtigkeits-Filter Breaking/Normal, Zeitverzögerungs-Analyse wie schnell reagiert der Markt, Export Ereignis-Analyse-Report, GSAP Kursreaktions-Highlight-Animationen - USE CASE: Trader analysieren wie Kurse historisch auf ähnliche Nachrichten reagiert haben, Research-Analysten dokumentieren Event-Studies für interne Berichte.",
            "overview": "baue einen Finanznachrichten-Analyzer mit Kursreaktions-Overlay",
            "category": "NEWS, DATENFEEDS & OSINT",
            "category_number": 5,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Trader analysieren wie Kurse historisch auf ähnliche Nachrichten reagiert haben, Research-Analysten dokumentieren Event-Studies für interne Berichte.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-149",
            "title": "erstelle einen Social-Media-Trend-Radar Hashtag-Volumen",
            "prompt_number": 149,
            "prompt": "erstelle einen Social-Media-Trend-Radar Hashtag-Volumen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trend-Ranking-Liste nach Volumen und Wachstumsrate, Hashtag-Volumen-Verlauf-Chart über Zeit (ApexCharts Line), Themen-Cluster-Visualisierung verwandte Trends (D3.js), Geografische-Verteilung-Mock-Karte wo Trend stärkst, Sentiment-Verteilung pro Trend positiv/negativ/gemischt, Influencer-Beteiligungs-Indikator Mock, Trend-Lebenszyklus-Phase aufsteigend/Peak/abklingend, Wettbewerbs-Marken-Erwähnungs-Vergleich, Alert-Konfiguration bei Trend-Schwellenwert-Überschreitung, Export Trend-Report für Marketing-Team, Zeitzonen-adjustierte Aktivitäts-Heatmap, GSAP Trend-Aufstiegs-Animationen - USE CASE: Marketing-Teams erkennen relevante Trends frühzeitig für Content-Planung, Kommunikationsabteilungen überwachen Markenerwähnungen im Vergleich zum Wettbewerb.",
            "overview": "erstelle einen Social-Media-Trend-Radar Hashtag-Volumen",
            "category": "NEWS, DATENFEEDS & OSINT",
            "category_number": 5,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Marketing-Teams erkennen relevante Trends frühzeitig für Content-Planung, Kommunikationsabteilungen überwachen Markenerwähnungen im Vergleich zum Wettbewerb.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-150",
            "title": "entwickle ein Krisen-Ereignis-Frühwarnsystem-Dashboard",
            "prompt_number": 150,
            "prompt": "entwickle ein Krisen-Ereignis-Frühwarnsystem-Dashboard - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ereignis-Feed kategorisiert Geopolitik/Wirtschaft/Naturkatastrophen, Risiko-Score-Ampel pro Region (D3.js Choropleth Mock), Eskalations-Stufen-Anzeige beobachtet/erhöht/kritisch, Betroffenheits-Analyse eigene Standorte/Lieferketten markiert, Historische-Krisen-Vergleich ähnliche vergangene Ereignisse, Reaktionsplan-Checkliste pro Krisentyp, Kommunikations-Eskalationskette wer wird wann informiert, Zeitleiste Ereignisentwicklung (D3.js), Impact-Schätzung finanziell/operational (ApexCharts Gauge), Lessons-Learned-Dokumentation nach Ereignis, Export Krisenreport für Management, GSAP Eskalations-Alarm-Animationen - USE CASE: Risikomanagement-Teams erkennen aufkommende Krisen frühzeitig und koordinieren Reaktionen strukturiert, Führungskräfte erhalten kompakte Impact-Einschätzungen für schnelle Entscheidungen. ## Kategorie 6: REISE-, WETTER- & OUTDOOR-TOOLS",
            "overview": "entwickle ein Krisen-Ereignis-Frühwarnsystem-Dashboard",
            "category": "NEWS, DATENFEEDS & OSINT",
            "category_number": 5,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Risikomanagement-Teams erkennen aufkommende Krisen frühzeitig und koordinieren Reaktionen strukturiert, Führungskräfte erhalten kompakte Impact-Einschätzungen für schnelle Entscheidungen. ## Kategorie 6: REISE-, WETTER- & OUTDOOR-TOOLS",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-151",
            "title": "erstelle einen interaktiven Reiseführer-Baukasten mit Karte & Geheimtipp-Filter",
            "prompt_number": 151,
            "prompt": "erstelle einen interaktiven Reiseführer-Baukasten mit Karte & Geheimtipp-Filter - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Interaktive Karte mit kategorisierten Pins Strand/Kultur/Natur/Geheimtipp, Filter-Leiste Region und Kategorie kombinierbar, Orts-Detailkarten mit Bild/Beschreibung/UNESCO-Kennzeichnung, Praktische-Infos-Panel Währung/Sprache/Sicherheit, Routen-Vorschläge zwischen ausgewählten Orten, Eigene-Reiseliste zusammenstellen und exportieren, Bewertungs-/Notiz-Funktion pro Ort persönlich, Saisonale-Empfehlungen beste Reisezeit pro Ort, Offline-Karten-Hinweis für Vorab-Download, Entfernungsrechner zwischen Orten, Foto-Galerie pro Sehenswürdigkeit, GSAP Karten-Pin-Einblend-Animationen - USE CASE: Reisende planen individuelle Routen abseits ausgetretener Pfade mit verlässlichen Praxis-Infos, Reiseblogger bauen wiederverwendbare interaktive Guides für verschiedene Regionen.",
            "overview": "erstelle einen interaktiven Reiseführer-Baukasten mit Karte & Geheimtipp-Filter",
            "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
            "category_number": 6,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Reisende planen individuelle Routen abseits ausgetretener Pfade mit verlässlichen Praxis-Infos, Reiseblogger bauen wiederverwendbare interaktive Guides für verschiedene Regionen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-152",
            "title": "entwickle einen Roadtrip-Routenplaner mit Ladestationen & Gefahrenzonen",
            "prompt_number": 152,
            "prompt": "entwickle einen Roadtrip-Routenplaner mit Ladestationen & Gefahrenzonen - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Routenberechnung zwischen Wegpunkten mit mehreren Zwischenstopps, E-Ladestationen-Layer entlang der Strecke, Nachtfahrt-Gefahrenzonen-Overlay markiert, Tages-Etappen-Planer mit Fahrzeit-Schätzung, Übernachtungs-Vorschläge entlang der Route, Tankstellen-/Rastplatz-Layer, Wetter-entlang-der-Route-Anzeige pro Etappe, Höhenprofil-Chart der Strecke (ApexCharts Area), Reisekosten-Schätzung Sprit/Maut/Übernachtung, PNG-Export der geplanten Route, Mehrere-Tile-Layer-Optionen Satellit/Terrain/Standard, GSAP Routen-Zeichnungs-Animationen - USE CASE: Familien planen mehrtägige Autoreisen mit realistischer Etappenplanung, E-Auto-Fahrer stellen sicher dass Ladestationen entlang der gesamten Strecke verfügbar sind.",
            "overview": "entwickle einen Roadtrip-Routenplaner mit Ladestationen & Gefahrenzonen",
            "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
            "category_number": 6,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Familien planen mehrtägige Autoreisen mit realistischer Etappenplanung, E-Auto-Fahrer stellen sicher dass Ladestationen entlang der gesamten Strecke verfügbar sind.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-153",
            "title": "programmiere einen Reisebudget & Ausgaben-Tracker Multi-Währung",
            "prompt_number": 153,
            "prompt": "programmiere einen Reisebudget & Ausgaben-Tracker Multi-Währung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Budget-Kategorien Unterkunft/Essen/Transport/Aktivitäten mit Limits, Ausgaben-Erfassung mit automatischer Währungsumrechnung, Tagesbudget-vs-Ist-Vergleich (ApexCharts Balken), Reisekasse-Übersicht mehrere Währungen gleichzeitig, Ausgaben-Kategorien-Donut pro Reise, Splitting-Rechner Kosten unter Mitreisenden aufteilen, Kurshistorie-Chart der genutzten Währungen, Reisevergleich mehrere vergangene Reisen nebeneinander, Wechselkurs-Alarm bei günstigem Kurs, Beleg-Foto-Anhang pro Ausgabe, Export Reiseabrechnung als PDF, GSAP Budget-Balken-Animationen - USE CASE: Reisende behalten Ausgaben über mehrere Währungen hinweg im Blick ohne Excel, Gruppenreisen teilen gemeinsame Kosten fair und nachvollziehbar auf.",
            "overview": "programmiere einen Reisebudget & Ausgaben-Tracker Multi-Währung",
            "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
            "category_number": 6,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Reisende behalten Ausgaben über mehrere Währungen hinweg im Blick ohne Excel, Gruppenreisen teilen gemeinsame Kosten fair und nachvollziehbar auf.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-154",
            "title": "baue einen Guide-Trinkgeld & Einkommens-Kalkulator",
            "prompt_number": 154,
            "prompt": "baue einen Guide-Trinkgeld & Einkommens-Kalkulator - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Einflussfaktoren-Eingabe Wetter/Gruppengröße/Nationalitäten-Mix, Trinkgeld-Prognose basierend auf historischen Einträgen (ApexCharts Regression-Linie), Tour-Historie-Log mit tatsächlichem Trinkgeld pro Tour, Saisonale-Muster-Analyse beste/schlechteste Monate, Gruppengrößen-Schwellenwert-Analyse ab wann Trinkgeld steigt, Wetter-Korrelations-Anzeige, Einkommens-Ziel-Tracker monatlich, Vergleich verschiedener Tour-Typen Rentabilität, Statistik-Dashboard Durchschnitt/Median/Bestes-Ergebnis, Notizfeld pro Tour besondere Umstände, Export Einkommens-Übersicht für Steuerzwecke, GSAP Prognose-Update-Animationen - USE CASE: Freiberufliche Guides schätzen ihr variables Einkommen realistischer ein, Tour-Anbieter optimieren Gruppengrößen basierend auf historischer Trinkgeld-Datenanalyse.",
            "overview": "baue einen Guide-Trinkgeld & Einkommens-Kalkulator",
            "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
            "category_number": 6,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Freiberufliche Guides schätzen ihr variables Einkommen realistischer ein, Tour-Anbieter optimieren Gruppengrößen basierend auf historischer Trinkgeld-Datenanalyse.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-155",
            "title": "erstelle einen Packlisten-Generator nach Reiseziel & Klima",
            "prompt_number": 155,
            "prompt": "erstelle einen Packlisten-Generator nach Reiseziel & Klima - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Klimazone-basierte Vorschlagslisten Tropisch/Gemäßigt/Kalt/Wüste, Reisedauer-Anpassung Anzahl Kleidungsstücke skaliert, Aktivitäts-Module Wandern/Business/Strand als Zusatzkategorien, Abhak-Fortschritt mit Prozentanzeige (ApexCharts Radial), Gewichts-Rechner geschätztes Gepäckgewicht, Gepäckkategorien Handgepäck/Aufgabegepäck-Zuordnung, Wiederverwendbare-Vorlagen für wiederkehrende Reisetypen, Vergessens-Warnung häufig vergessene Gegenstände, Familienpackliste mehrere Personen gruppiert, Wetter-Integration Anpassung basierend auf Vorhersage, Export als druckbare Checkliste, GSAP Abhak-Animationen - USE CASE: Vielreisende erstellen schnell passgenaue Packlisten statt jedes Mal neu zu überlegen, Familien koordinieren Gepäck für mehrere Personen ohne etwas zu vergessen.",
            "overview": "erstelle einen Packlisten-Generator nach Reiseziel & Klima",
            "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
            "category_number": 6,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Vielreisende erstellen schnell passgenaue Packlisten statt jedes Mal neu zu überlegen, Familien koordinieren Gepäck für mehrere Personen ohne etwas zu vergessen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-156",
            "title": "entwickle einen Sehenswürdigkeiten-Sammler mit Karten-Timeline",
            "prompt_number": 156,
            "prompt": "entwickle einen Sehenswürdigkeiten-Sammler mit Karten-Timeline - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Besuchte-Orte-Karte mit Zeitstempel-Pins, Reise-Tagebuch-Einträge pro Ort mit Foto-Platzhalter, Zeitleisten-Ansicht chronologisch aller Reisen (D3.js), Länder-/Städte-Zähler-Statistik besucht, Fortschritts-Karte eingefärbte besuchte Länder (D3.js Choropleth), Reise-Jahresrückblick-Generator, Lieblingsorte-Ranking mit Bewertung, Teilen-Funktion-Mockup Reisebericht exportieren, Entfernungs-Gesamtstatistik zurückgelegte Kilometer, Foto-Sammlung pro Ort gruppiert, Notiz-Suchfunktion über alle Einträge, GSAP Pin-Sammlungs-Animationen - USE CASE: Vielreisende dokumentieren ihre Reisehistorie visuell ansprechend an einem Ort, Reise-Communities zeigen persönliche Entdeckungen strukturiert statt in losen Fotoalben.",
            "overview": "entwickle einen Sehenswürdigkeiten-Sammler mit Karten-Timeline",
            "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
            "category_number": 6,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Vielreisende dokumentieren ihre Reisehistorie visuell ansprechend an einem Ort, Reise-Communities zeigen persönliche Entdeckungen strukturiert statt in losen Fotoalben.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-157",
            "title": "baue einen Camping & Outdoor-Ausrüstungs-Planer mit Gewichts-Rechner",
            "prompt_number": 157,
            "prompt": "baue einen Camping & Outdoor-Ausrüstungs-Planer mit Gewichts-Rechner - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ausrüstungs-Kategorien Zelt/Schlafsack/Kochutensilien/Kleidung, Gewichts-Rechner Gesamtgepäck mit Warnung bei Überschreitung (ApexCharts Gauge), Packliste nach Tourdauer skaliert, Wetter-abhängige Ausrüstungs-Empfehlung, Verleih-vs-Kauf-Kostenvergleich, Ausrüstungs-Inventar eigene Gegenstände mit Zustand, Trekking-Route-Schwierigkeitsgrad-Anpassung Ausrüstungsbedarf, Proviant-Kalorienrechner pro Tag und Person, Packliste-Vorlagen nach Tourtyp Solo/Gruppe/Winter, Wartungs-Erinnerung Ausrüstung überprüfen vor Tour, Export Packliste mit Gewichtsangaben, GSAP Gewichts-Balken-Animationen - USE CASE: Wanderer und Camper packen gewichtsoptimiert ohne wichtige Ausrüstung zu vergessen, Outdoor-Anbieter beraten Kunden mit nachvollziehbaren Gewichts- und Bedarfsrechnungen.",
            "overview": "baue einen Camping & Outdoor-Ausrüstungs-Planer mit Gewichts-Rechner",
            "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
            "category_number": 6,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Wanderer und Camper packen gewichtsoptimiert ohne wichtige Ausrüstung zu vergessen, Outdoor-Anbieter beraten Kunden mit nachvollziehbaren Gewichts- und Bedarfsrechnungen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-158",
            "title": "erstelle eine öffentliche-Verkehrsmittel-Verbindungssuche mit Offline-Cache",
            "prompt_number": 158,
            "prompt": "erstelle eine öffentliche-Verkehrsmittel-Verbindungssuche mit Offline-Cache - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verbindungssuche zwischen zwei Orten mit Umstiegen, Fahrplan-Anzeige nach Verkehrsmittel Bus/Bahn/Tram gefiltert, Offline-Cache häufig genutzter Verbindungen, Verspätungs-Statistik historisch pro Linie (ApexCharts Balken), Ticketpreis-Schätzung nach Zonen, Barrierefreiheits-Kennzeichnung pro Verbindung, Alternative-Routen-Vorschläge bei Ausfall, Lieblingsverbindungen-Speicherfunktion, Karten-Ansicht der Route (D3.js oder Leaflet), Reisezeit-Vergleich verschiedener Abfahrtszeiten, Pünktlichkeits-Ranking der Linien, GSAP Verbindungs-Such-Animationen - USE CASE: Pendler und Reisende finden verlässliche Verbindungen auch ohne Internetzugang unterwegs, Tourist:innen in fremden Städten navigieren den ÖPNV ohne lokale App-Installation.",
            "overview": "erstelle eine öffentliche-Verkehrsmittel-Verbindungssuche mit Offline-Cache",
            "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
            "category_number": 6,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Pendler und Reisende finden verlässliche Verbindungen auch ohne Internetzugang unterwegs, Tourist:innen in fremden Städten navigieren den ÖPNV ohne lokale App-Installation.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-159",
            "title": "entwickle einen Auswanderungs-Umzugs-Kosten-Vergleichsrechner",
            "prompt_number": 159,
            "prompt": "entwickle einen Auswanderungs-Umzugs-Kosten-Vergleichsrechner - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Lebenshaltungskosten-Vergleich zwischen Ländern/Städten (ApexCharts Balken), Kategorien-Breakdown Miete/Lebensmittel/Gesundheit/Steuern, Kaufkraft-Index-Berechnung angepasst an Gehalt, Umzugskosten-Rechner Transport/Visa/Kaution, Steuersystem-Vergleich grobe Einschätzung, Gesundheitssystem-Kurzvergleich, Klimazonen-und-Lebensqualität-Vergleich, Sprachbarriere-Einschätzung, Zeitzonen-Unterschied-Anzeige zu Heimat, Community-Größe-Indikator Expats vor Ort Mock, Break-Even-Rechner ab wann Umzug sich lohnt, GSAP Vergleichs-Balken-Animationen - USE CASE: Auswanderungsinteressierte vergleichen potenzielle Zielländer objektiv vor der Entscheidung, Personalabteilungen kalkulieren Auslandsentsendungs-Budgets für Mitarbeiter transparent.",
            "overview": "entwickle einen Auswanderungs-Umzugs-Kosten-Vergleichsrechner",
            "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
            "category_number": 6,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Auswanderungsinteressierte vergleichen potenzielle Zielländer objektiv vor der Entscheidung, Personalabteilungen kalkulieren Auslandsentsendungs-Budgets für Mitarbeiter transparent.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-160",
            "title": "baue ein Reise-Tagebuch mit Karten-Pins & Foto-Timeline",
            "prompt_number": 160,
            "prompt": "baue ein Reise-Tagebuch mit Karten-Pins & Foto-Timeline - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Tagebucheinträge mit Datum/Ort/Text/Foto-Platzhalter, Karten-Ansicht aller Einträge als verbundene Route, Stimmungs-Tracking pro Eintrag Emoji-basiert, Zeitleisten-Ansicht chronologisch mit Vorschau (D3.js), Kapitel-Gruppierung nach Reiseabschnitt, Volltextsuche über alle Einträge, Statistik-Dashboard Anzahl Einträge/Orte/Fotos, Wetter-Notiz pro Tag automatisch-manuell, Export als zusammenhängendes Reisebuch PDF, Privatsphäre-Stufen pro Eintrag privat/teilbar, Highlight-Markierung besondere Momente, GSAP Timeline-Scroll-Animationen - USE CASE: Reisende halten Erlebnisse strukturiert fest statt verstreuter Notizen-App-Einträge, Langzeitreisende erstellen am Ende ein zusammenhängendes digitales Reisebuch zum Teilen. ## Kategorie 7: SPORT & SAMMLER-TOOLS",
            "overview": "baue ein Reise-Tagebuch mit Karten-Pins & Foto-Timeline",
            "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
            "category_number": 6,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Reisende halten Erlebnisse strukturiert fest statt verstreuter Notizen-App-Einträge, Langzeitreisende erstellen am Ende ein zusammenhängendes digitales Reisebuch zum Teilen. ## Kategorie 7: SPORT & SAMMLER-TOOLS",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-161",
            "title": "erstelle ein Fantasy-Liga-Manager-Dashboard mit Live-Punkten",
            "prompt_number": 161,
            "prompt": "erstelle ein Fantasy-Liga-Manager-Dashboard mit Live-Punkten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kader-Aufstellung Drag&Drop nach Formation, Punkte-Berechnung pro Spieler nach Aktionen Tor/Assist/Karte, Liga-Tabelle mit allen Teilnehmern (ApexCharts Balken), Spieler-Formkurve letzte 5 Spiele (D3.js Sparkline), Transfer-Markt mit Budget-Verwaltung, Kapitäns-Wahl mit Punkte-Multiplikator, Spieltag-Historie eigene Punktentwicklung, Verletzungs-/Sperren-Warnung vor Kader-Sperre, Kopf-an-Kopf-Vergleich gegen Liga-Konkurrenten, Wochen-MVP-Auszeichnung automatisch, Export Saison-Zusammenfassung, GSAP Punkte-Update-Animationen - USE CASE: Fantasy-Liga-Teilnehmer verwalten ihr Team mit detaillierter Performance-Analyse, Liga-Organisatoren bieten Teilnehmern eine ansprechende zentrale Übersicht.",
            "overview": "erstelle ein Fantasy-Liga-Manager-Dashboard mit Live-Punkten",
            "category": "SPORT & SAMMLER-TOOLS",
            "category_number": 7,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Fantasy-Liga-Teilnehmer verwalten ihr Team mit detaillierter Performance-Analyse, Liga-Organisatoren bieten Teilnehmern eine ansprechende zentrale Übersicht.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-162",
            "title": "entwickle einen Sammelkarten-Portfolio-Tracker mit Wertentwicklung",
            "prompt_number": 162,
            "prompt": "entwickle einen Sammelkarten-Portfolio-Tracker mit Wertentwicklung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sammlung-Inventar mit Zustand-Bewertung Mint/Near-Mint/Played, Wertentwicklungs-Chart pro Karte manuell gepflegt (ApexCharts Line), Portfolio-Gesamtwert-Anzeige mit Verlauf, Seltenheits-Kategorisierung Common/Rare/Legendary, Wunschlisten-Verwaltung fehlende Karten, Sammlung-Vollständigkeits-Anzeige pro Set (ApexCharts Radial), Tausch-Vorschlags-Liste eigene Dubletten, Kategorie-Verteilung nach Set/Ära (D3.js Treemap), Zustandsverschlechterungs-Notizen über Zeit, Versicherungswert-Schätzung Gesamtsammlung, Export Sammlungsliste als Inventar-PDF, GSAP Wert-Update-Animationen - USE CASE: Sammler behalten Überblick über Portfoliowert und Vollständigkeit ihrer Sammlung, Käufer/Verkäufer dokumentieren Zustand und Wert für Versicherung oder Verkauf.",
            "overview": "entwickle einen Sammelkarten-Portfolio-Tracker mit Wertentwicklung",
            "category": "SPORT & SAMMLER-TOOLS",
            "category_number": 7,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Sammler behalten Überblick über Portfoliowert und Vollständigkeit ihrer Sammlung, Käufer/Verkäufer dokumentieren Zustand und Wert für Versicherung oder Verkauf.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-163",
            "title": "programmiere einen Trainingsplan-Builder mit Fortschritts-Charts",
            "prompt_number": 163,
            "prompt": "programmiere einen Trainingsplan-Builder mit Fortschritts-Charts - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainingsplan-Editor Übungen nach Muskelgruppe/Tag, Fortschritts-Tracking Gewicht/Wiederholungen pro Übung über Zeit (ApexCharts Line), Periodisierungs-Ansicht Aufbau/Erhaltung/Deload-Phasen, Ein-Wiederholungs-Maximum-Rechner geschätzt, Körpermaße-Tracker mit Verlaufsdiagramm, Trainingsvolumen-Analyse pro Woche (D3.js Stacked Bar), Übungsbibliothek mit Ausführungshinweisen, Ruhetag-Planer automatische Balance, Trainingsstreak-Tracker Motivation, Kalorien-/Makro-Schätzung pro Trainingstag, Export Trainingsplan als PDF, GSAP Fortschritts-Balken-Animationen - USE CASE: Freizeitsportler planen und verfolgen Trainingsfortschritt strukturiert ohne teure Fitness-App-Abos, Personal Trainer erstellen individuelle Trainingspläne für Klienten mit klarer Fortschrittsdokumentation.",
            "overview": "programmiere einen Trainingsplan-Builder mit Fortschritts-Charts",
            "category": "SPORT & SAMMLER-TOOLS",
            "category_number": 7,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Freizeitsportler planen und verfolgen Trainingsfortschritt strukturiert ohne teure Fitness-App-Abos, Personal Trainer erstellen individuelle Trainingspläne für Klienten mit klarer Fortschrittsdokumentation.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-164",
            "title": "baue ein Vereins-Team-Statistik-Vergleichs-Terminal",
            "prompt_number": 164,
            "prompt": "baue ein Vereins-Team-Statistik-Vergleichs-Terminal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Team-Vergleichs-Matrix Offensive/Defensive-Kennzahlen, Saisonverlauf-Chart Tabellenplatz über Spieltage (ApexCharts Line), Head-to-Head-Historie zwischen zwei Teams, Heim-vs-Auswärts-Performance-Split, Spieler-Statistik-Ranking innerhalb Team, Form-Tabelle letzte 5/10 Spiele, Torschützen-/Vorlagen-Liste mit Ranking, Radar-Chart Team-Stärken-Profil (D3.js), Verletzungs-Report-Übersicht Kader-Verfügbarkeit, Liga-weite-Vergleiche Durchschnittswerte, Export Statistik-Report, GSAP Ranking-Wechsel-Animationen - USE CASE: Fans analysieren Team-Performance tiefer als Standard-Tabellen bieten, Trainer-Teams bereiten Gegner-Analysen mit fundierten Statistiken vor.",
            "overview": "baue ein Vereins-Team-Statistik-Vergleichs-Terminal",
            "category": "SPORT & SAMMLER-TOOLS",
            "category_number": 7,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Fans analysieren Team-Performance tiefer als Standard-Tabellen bieten, Trainer-Teams bereiten Gegner-Analysen mit fundierten Statistiken vor.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-165",
            "title": "erstelle einen Ticket-Event-Verfügbarkeits-Tracker",
            "prompt_number": 165,
            "prompt": "erstelle einen Ticket-Event-Verfügbarkeits-Tracker - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Event-Kalender mit Verfügbarkeits-Status Ampel, Preis-Entwicklungs-Chart über Zeit bis Event (ApexCharts Line), Sitzplatz-Kategorie-Vergleich Preis-Leistung, Wunschzettel-Events mit Verfügbarkeits-Alarm, Venue-Karten-Ansicht Sitzplan-Mockup, Preisvergleich mehrerer Anbieter Mock, Event-Historie besuchte Veranstaltungen, Freunde-Gruppen-Koordination gemeinsamer Kauf-Mockup, Reise-Kombination Event plus Anreise/Unterkunft-Hinweis, Erinnerungs-Countdown bis Verkaufsstart, Export Event-Übersicht, GSAP Verfügbarkeits-Status-Animationen - USE CASE: Fans verpassen keinen Vorverkaufsstart begehrter Events durch zentrale Übersicht, Gruppen koordinieren gemeinsame Event-Besuche mit Budget- und Terminabgleich.",
            "overview": "erstelle einen Ticket-Event-Verfügbarkeits-Tracker",
            "category": "SPORT & SAMMLER-TOOLS",
            "category_number": 7,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Fans verpassen keinen Vorverkaufsstart begehrter Events durch zentrale Übersicht, Gruppen koordinieren gemeinsame Event-Besuche mit Budget- und Terminabgleich.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-166",
            "title": "entwickle ein Wett-Quoten-Vergleichs-Dashboard edukativ",
            "prompt_number": 166,
            "prompt": "entwickle ein Wett-Quoten-Vergleichs-Dashboard edukativ - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Quoten-Vergleichstabelle mehrerer Mock-Anbieter, Implizite-Wahrscheinlichkeit-Rechner aus Quote, Value-Bet-Finder Differenz eigene Einschätzung vs Quote, Bankroll-Management-Rechner Einheiten-basiert, Wett-Historie-Tracker mit ROI-Berechnung (ApexCharts Line), Value-Score-Ranking verschiedener Wetten, Verantwortungsvolles-Spielen-Hinweise und Limits prominent, Quoten-Bewegungs-Historie vor Event, Statistik-Vergleich beider Teams als Entscheidungshilfe, Simulierte-Wett-Slip ohne echtes Geld, Export Wett-Journal für eigene Analyse, GSAP Quoten-Änderungs-Animationen - USE CASE: Nutzer lernen Quoten- und Wahrscheinlichkeitsanalyse verantwortungsbewusst mit klaren Limit-Hinweisen, Bildungsprojekte zeigen mathematische Grundlagen hinter Wettquoten anschaulich. WICHTIG: durchgängig Responsible-Gaming-Hinweise, keine echten Zahlungsfunktionen.",
            "overview": "entwickle ein Wett-Quoten-Vergleichs-Dashboard edukativ",
            "category": "SPORT & SAMMLER-TOOLS",
            "category_number": 7,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Nutzer lernen Quoten- und Wahrscheinlichkeitsanalyse verantwortungsbewusst mit klaren Limit-Hinweisen, Bildungsprojekte zeigen mathematische Grundlagen hinter Wettquoten anschaulich. WICHTIG: durchgängig Responsible-Gaming-Hinweise, keine echten Zahlungsfunktionen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-167",
            "title": "baue einen Sportartikel-Sammlung-Katalog mit Zustands-Bewertung",
            "prompt_number": 167,
            "prompt": "baue einen Sportartikel-Sammlung-Katalog mit Zustands-Bewertung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Katalog-Inventar Trikots/Schuhe/Memorabilia mit Foto-Platzhalter, Zustands-Bewertungs-Skala mit Beschreibung, Echtheits-Dokumentation Zertifikat-Upload-Mockup, Wertschätzungs-Historie über Zeit (ApexCharts Line), Kategorie-Filter nach Sportart/Ära/Spieler, Versicherungswert-Gesamtübersicht, Ausstellungs-Planer welche Stücke wo aufbewahrt, Tausch-/Verkaufs-Interesse-Markierung, Herkunfts-Dokumentation Provenienz-Notizen, Zustandsverschlechterung-Warnung bei Lagerungsbedingungen, Export Sammlungskatalog PDF, GSAP Katalog-Karten-Animationen - USE CASE: Memorabilia-Sammler dokumentieren Echtheit und Wert ihrer Sammlung professionell, Versicherungen erhalten strukturierte Nachweise für Wertsachen-Policen.",
            "overview": "baue einen Sportartikel-Sammlung-Katalog mit Zustands-Bewertung",
            "category": "SPORT & SAMMLER-TOOLS",
            "category_number": 7,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Memorabilia-Sammler dokumentieren Echtheit und Wert ihrer Sammlung professionell, Versicherungen erhalten strukturierte Nachweise für Wertsachen-Policen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-168",
            "title": "erstelle einen Turnier-Bracket-Generator interaktiv",
            "prompt_number": 168,
            "prompt": "erstelle einen Turnier-Bracket-Generator interaktiv - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Automatische Bracket-Erstellung K.O.-System nach Teilnehmerzahl (D3.js Baumdiagramm), Gruppenphase-plus-K.O.-Hybrid-Modus, Ergebnis-Eintragung mit automatischem Weiterrücken, Setzlisten-Verwaltung nach Ranking, Live-Turnierbaum-Ansicht während Verlauf, Statistik-Dashboard Tore/Punkte pro Teilnehmer, Zeitplan-Generator mit Spielterminen, Freilos-Behandlung bei ungerader Teilnehmerzahl, Export Turnierbaum als Bild/PDF, Historische-Turniere-Archiv, Sieger-Ehrentafel, GSAP Bracket-Fortschritts-Animationen - USE CASE: Vereine und Hobby-Ligen organisieren Turniere ohne teure Turnier-Software, Event-Organisatoren visualisieren Turnierverlauf für Teilnehmer und Zuschauer live.",
            "overview": "erstelle einen Turnier-Bracket-Generator interaktiv",
            "category": "SPORT & SAMMLER-TOOLS",
            "category_number": 7,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Vereine und Hobby-Ligen organisieren Turniere ohne teure Turnier-Software, Event-Organisatoren visualisieren Turnierverlauf für Teilnehmer und Zuschauer live.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-169",
            "title": "entwickle einen Athleten-Karriere-Verlauf-Visualizer",
            "prompt_number": 169,
            "prompt": "entwickle einen Athleten-Karriere-Verlauf-Visualizer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karriere-Zeitleiste Vereine/Transfers/Meilensteine (D3.js Timeline), Leistungsentwicklung über Karriere Kennzahl pro Saison (ApexCharts Line), Vergleich mehrerer Athleten Side-by-Side, Verletzungshistorie-Übersicht mit Ausfallzeiten, Titel-/Auszeichnungs-Sammlung als Ehrentafel, Marktwert-Entwicklung-Mockup über Karriere, Vereins-Wechsel-Karte geografisch (D3.js), Statistik-Highlights beste Saison hervorgehoben, Altersvergleich Peak-Performance-Alter, Karriere-Phasen-Kennzeichnung Aufstieg/Prime/Ausklang, Export Karriere-Profil als PDF, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Sportjournalisten recherchieren Karriereverläufe visuell aufbereitet für Artikel, Scouting-Teams vergleichen Karriereentwicklungen mehrerer Talente strukturiert.",
            "overview": "entwickle einen Athleten-Karriere-Verlauf-Visualizer",
            "category": "SPORT & SAMMLER-TOOLS",
            "category_number": 7,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Sportjournalisten recherchieren Karriereverläufe visuell aufbereitet für Artikel, Scouting-Teams vergleichen Karriereentwicklungen mehrerer Talente strukturiert.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-170",
            "title": "baue eine Community-Sammler-Tausch-Börse Mockup",
            "prompt_number": 170,
            "prompt": "baue eine Community-Sammler-Tausch-Börse Mockup - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Angebots-/Gesuchs-Liste mit Foto-Platzhalter und Zustand, Matching-Algorithmus-Mockup passende Tauschpartner vorschlagen, Community-Profil mit Sammlungsschwerpunkt, Bewertungs-System für Tauschpartner nach Transaktion, Tausch-Verlauf-Historie abgeschlossene Trades, Kategorie-Browser nach Sammelgebiet, Wunschlisten-Abgleich automatische Benachrichtigung bei Treffer, Fairness-Rechner geschätzter Wertevergleich beider Seiten, Community-Statistik aktive Nutzer/Trades gesamt (ApexCharts), Nachrichtenfunktion-Mockup zwischen Tauschpartnern, Melde-Funktion bei Problemen, GSAP Match-Gefunden-Animationen - USE CASE: Sammler-Communities finden passende Tauschpartner für ihre Sammlung strukturiert, Vereine bieten Mitgliedern eine faire Plattform für Sammelobjekt-Tausch ohne Geldfluss. ## Kategorie 8: MEDIA, GAMES & ENTERTAINMENT",
            "overview": "baue eine Community-Sammler-Tausch-Börse Mockup",
            "category": "SPORT & SAMMLER-TOOLS",
            "category_number": 7,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Sammler-Communities finden passende Tauschpartner für ihre Sammlung strukturiert, Vereine bieten Mitgliedern eine faire Plattform für Sammelobjekt-Tausch ohne Geldfluss. ## Kategorie 8: MEDIA, GAMES & ENTERTAINMENT",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-171",
            "title": "erstelle einen interaktiven Roman-E-Book-Reader mit Kapitel-Navigation",
            "prompt_number": 171,
            "prompt": "erstelle einen interaktiven Roman-E-Book-Reader mit Kapitel-Navigation - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kapitel-Sidebar mit Lesefortschritt pro Kapitel, Schriftgröße-/Zeilenabstand-Regler live, Lesemodus Hell/Dunkel/Sepia, Lesezeichen-Funktion mit Notizen, Lesefortschritt-Gesamtanzeige Prozent und geschätzte Restzeit (ApexCharts Radial), Kapitel-Zusammenfassungen einklappbar, Text-Suche mit Ergebnis-Sprung, Zitat-Sammlung markierte Textstellen, Statistik-Dashboard Lesegeschwindigkeit/Sessions, Automatisches-Scroll-Modus einstellbare Geschwindigkeit, Export Notizen und Zitate, GSAP Seitenübergangs-Animationen - USE CASE: Autoren präsentieren ihre Werke in einem ansprechenden Eigen-Reader ohne Plattform-Abhängigkeit, Leser verfolgen Fortschritt und sammeln Lieblingszitate strukturiert.",
            "overview": "erstelle einen interaktiven Roman-E-Book-Reader mit Kapitel-Navigation",
            "category": "MEDIA, GAMES & ENTERTAINMENT",
            "category_number": 8,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Autoren präsentieren ihre Werke in einem ansprechenden Eigen-Reader ohne Plattform-Abhängigkeit, Leser verfolgen Fortschritt und sammeln Lieblingszitate strukturiert.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-172",
            "title": "entwickle einen Browser-Game-Arcade-Hub mit Highscore-System",
            "prompt_number": 172,
            "prompt": "entwickle einen Browser-Game-Arcade-Hub mit Highscore-System - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Spiele-Galerie-Grid mit Vorschaubildern und Kategorien, Highscore-Tabelle pro Spiel lokal gespeichert, Spieler-Profil mit Gesamt-Statistik über alle Spiele, Erfolge-/Achievement-System mit Freischalt-Bedingungen, Tages-Herausforderung ein Spiel mit Sonderregeln, Spielzeit-Tracker pro Spiel, Favoriten-Sammlung meistgespielte Spiele, Schwierigkeitsgrad-Auswahl pro Spiel, Tutorial-Overlay für Neueinsteiger pro Spiel, Sound-An-Aus-Umschalter global, Fortschritts-Dashboard Achievements gesamt (ApexCharts Radial), GSAP Spiel-Start-Übergangs-Animationen - USE CASE: Portale bündeln mehrere kleine Browser-Spiele mit einheitlichem Fortschritts-Tracking, Nutzer verfolgen persönliche Bestleistungen über eine wachsende Spielesammlung hinweg.",
            "overview": "entwickle einen Browser-Game-Arcade-Hub mit Highscore-System",
            "category": "MEDIA, GAMES & ENTERTAINMENT",
            "category_number": 8,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Portale bündeln mehrere kleine Browser-Spiele mit einheitlichem Fortschritts-Tracking, Nutzer verfolgen persönliche Bestleistungen über eine wachsende Spielesammlung hinweg.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-173",
            "title": "programmiere einen Schach-Trainer mit mehreren Engine-Stärken",
            "prompt_number": 173,
            "prompt": "programmiere einen Schach-Trainer mit mehreren Engine-Stärken - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schachbrett interaktiv mit Zug-Validierung, Engine-Stärke-Auswahl Anfänger bis Fortgeschritten, Eröffnungs-Datenbank mit Namen und Zugfolgen, Taktik-Trainer tägliche Rätsel mit Bewertungssystem (ApexCharts Elo-Verlauf), Partie-Analyse nach Spielende Fehler markiert, Zug-Historie mit Notation und Rücknahme-Funktion, Eröffnungs-Repertoire-Builder eigene Linien speichern, Endspiel-Übungs-Modus typische Stellungen, Zeitkontrolle-Optionen Blitz/Rapid/Klassisch, Spielstärke-Schätzung basierend auf Partien, Export Partie als PGN, GSAP Zug-Animationen auf dem Brett - USE CASE: Schachspieler trainieren gegen verschieden starke Gegner passend zum eigenen Niveau, Vereine bieten Mitgliedern taktisches Training mit nachvollziehbarem Fortschritt.",
            "overview": "programmiere einen Schach-Trainer mit mehreren Engine-Stärken",
            "category": "MEDIA, GAMES & ENTERTAINMENT",
            "category_number": 8,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Schachspieler trainieren gegen verschieden starke Gegner passend zum eigenen Niveau, Vereine bieten Mitgliedern taktisches Training mit nachvollziehbarem Fortschritt.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-174",
            "title": "baue einen Comic-Webtoon-Reader mit Panel-Zoom",
            "prompt_number": 174,
            "prompt": "baue einen Comic-Webtoon-Reader mit Panel-Zoom - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertikaler-Scroll-Lesemodus für Webtoons, Panel-für-Panel-Modus mit Zoom bei Tap, Kapitel-Übersicht mit Cover-Vorschau, Lesezeichen pro Kapitel und Panel-Position, Helligkeits-/Kontrast-Regler für Leseumgebung, Kommentar-Bereich-Mockup pro Kapitel, Serien-Bibliothek mit Fortsetzungs-Status abgeschlossen/laufend, Lese-Historie zuletzt gelesene Serien, Offline-Download-Kennzeichnung pro Kapitel, Vollbild-Lesemodus ohne Ablenkung, Auto-Scroll-Geschwindigkeitsregler, GSAP Panel-Übergangs-Animationen - USE CASE: Unabhängige Comic-Autoren veröffentlichen eigene Werke ohne Plattform-Provisionen, Leser genießen ein natives Lese-Erlebnis speziell für vertikale Comic-Formate.",
            "overview": "baue einen Comic-Webtoon-Reader mit Panel-Zoom",
            "category": "MEDIA, GAMES & ENTERTAINMENT",
            "category_number": 8,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Unabhängige Comic-Autoren veröffentlichen eigene Werke ohne Plattform-Provisionen, Leser genießen ein natives Lese-Erlebnis speziell für vertikale Comic-Formate.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-175",
            "title": "erstelle einen Musik-Playlist & Stimmungs-Visualizer",
            "prompt_number": 175,
            "prompt": "erstelle einen Musik-Playlist & Stimmungs-Visualizer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Playlist-Verwaltung mit Drag&Drop-Sortierung, Waveform-Visualisierung während Wiedergabe (D3.js Canvas), Stimmungs-Tagging pro Song energetisch/ruhig/melancholisch, Stimmungs-basierte-Playlist-Generierung automatisch, Hörhistorie-Statistik meistgehörte Songs/Genres (ApexCharts Balken), Beat-synchronisierte-Animationen GSAP zum Takt, Lyrics-Anzeige-Platzhalter synchronisiert, Genre-Verteilungs-Donut eigene Bibliothek, Höralbum-Fortschritt bei vollständigem Album, Cross-Fade-Einstellung zwischen Songs, Export Playlist als M3U, GSAP Album-Cover-Rotations-Animationen - USE CASE: Musikliebhaber organisieren ihre Sammlung nach Stimmung statt nur nach Genre, Content-Ersteller visualisieren Audio ansprechend für Präsentationen oder Streams.",
            "overview": "erstelle einen Musik-Playlist & Stimmungs-Visualizer",
            "category": "MEDIA, GAMES & ENTERTAINMENT",
            "category_number": 8,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Musikliebhaber organisieren ihre Sammlung nach Stimmung statt nur nach Genre, Content-Ersteller visualisieren Audio ansprechend für Präsentationen oder Streams.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-176",
            "title": "entwickle einen Quiz-Show-Baukasten mit Buzzer-Simulation",
            "prompt_number": 176,
            "prompt": "entwickle einen Quiz-Show-Baukasten mit Buzzer-Simulation - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fragen-Editor mit Kategorien und Punktwerten Jeopardy-Style, Buzzer-Simulation-Mockup wer zuerst klickt bekommt Zug, Punktestand-Anzeige Live pro Team/Spieler, Zeitlimit-Timer pro Frage mit visuellem Countdown, Fragenkatalog-Import/Export als JSON, Moderatoren-Ansicht separat von Spieler-Ansicht, Soundeffekte-Mockup richtig/falsch, Runden-Struktur Vorrunde/Finale konfigurierbar, Joker-System 50/50 oder Publikumsjoker-Mockup, Highscore-Liste vergangener Runden, Vollbild-Präsentations-Modus für Beamer, GSAP Punktestand-Update-Animationen - USE CASE: Lehrkräfte und Trainer gestalten interaktive Wissensabfragen für Gruppen unterhaltsam, Event-Organisatoren nutzen die App als Grundlage für Quiz-Abende ohne Zusatz-Hardware.",
            "overview": "entwickle einen Quiz-Show-Baukasten mit Buzzer-Simulation",
            "category": "MEDIA, GAMES & ENTERTAINMENT",
            "category_number": 8,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Lehrkräfte und Trainer gestalten interaktive Wissensabfragen für Gruppen unterhaltsam, Event-Organisatoren nutzen die App als Grundlage für Quiz-Abende ohne Zusatz-Hardware.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-177",
            "title": "programmiere eine Kurzgeschichten-Gedicht-Sammlung mit Stimmungs-Tagging",
            "prompt_number": 177,
            "prompt": "programmiere eine Kurzgeschichten-Gedicht-Sammlung mit Stimmungs-Tagging - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Text-Bibliothek kategorisiert nach Genre und Stimmung, Lese-Ansicht mit typografisch hochwertiger Darstellung, Stimmungs-Filter melancholisch/hoffnungsvoll/humorvoll, Autoren-Profile bei Sammel-Anthologien, Lieblings-Sammlung persönliche Favoriten, Zufalls-Text-Funktion Überraschung des Tages, Lesezeit-Anzeige pro Text, Text-Statistik Wortanzahl/Lesezeit-Verteilung (ApexCharts), Themen-Wolke häufige Motive (D3.js Word Cloud), Kommentar-/Reflexions-Notizfeld pro Text privat, Export einzelner Texte als PDF, GSAP Text-Einblend-Animationen - USE CASE: Autoren präsentieren eine kuratierte Sammlung ihrer Kurztexte ansprechend, Leser entdecken Texte passend zu ihrer aktuellen Stimmung gezielt.",
            "overview": "programmiere eine Kurzgeschichten-Gedicht-Sammlung mit Stimmungs-Tagging",
            "category": "MEDIA, GAMES & ENTERTAINMENT",
            "category_number": 8,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Autoren präsentieren eine kuratierte Sammlung ihrer Kurztexte ansprechend, Leser entdecken Texte passend zu ihrer aktuellen Stimmung gezielt.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-178",
            "title": "baue eine Retro-Arcade-Casino-Demo Play-Money",
            "prompt_number": 178,
            "prompt": "baue eine Retro-Arcade-Casino-Demo Play-Money - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Blackjack- und Roulette-Simulation mit virtueller Spielwährung, Deutliche Play-Money-Kennzeichnung durchgängig sichtbar, Responsible-Gaming-Hinweise und Selbsttest prominent verlinkt, Spielverlauf-Statistik Gewinn/Verlust-Kurve (ApexCharts Line) nur zu Demonstrationszwecken, Retro-Pixel-Art-Design-Ästhetik, Regel-Erklärungen für Einsteiger pro Spiel, Einsatzlimit-Simulator zeigt Wirkung von Limits, Wahrscheinlichkeits-Erklär-Panel Hausvorteil transparent dargestellt, Sound-Effekte-Mockup, Sitzungs-Zeit-Tracker mit Erinnerung Pause einzulegen, Kein-Echtgeld-Hinweis in jedem Screen, GSAP Karten-/Rad-Animationen - USE CASE: Bildungsprojekte erklären Casino-Spielmechaniken und Hausvorteil transparent ohne echtes Geld, Entwickler demonstrieren Spiel-UI-Konzepte in Portfolios verantwortungsbewusst gekennzeichnet.",
            "overview": "baue eine Retro-Arcade-Casino-Demo Play-Money",
            "category": "MEDIA, GAMES & ENTERTAINMENT",
            "category_number": 8,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Bildungsprojekte erklären Casino-Spielmechaniken und Hausvorteil transparent ohne echtes Geld, Entwickler demonstrieren Spiel-UI-Konzepte in Portfolios verantwortungsbewusst gekennzeichnet.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-179",
            "title": "erstelle einen Podcast-Hörbuch-Player mit Kapitel-Marken",
            "prompt_number": 179,
            "prompt": "erstelle einen Podcast-Hörbuch-Player mit Kapitel-Marken - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wiedergabe-Steuerung mit Kapitel-Sprungmarken, Geschwindigkeitsregler 0.5x bis 3x, Schlaf-Timer automatisches Stoppen, Wiedergabe-Historie mit Fortschritt pro Episode, Episoden-Bibliothek mit Cover und Beschreibung, Warteschlange-Verwaltung nächste Episoden, Transkript-Anzeige-Platzhalter synchron scrollend, Lesezeichen innerhalb einer Episode setzen, Hörstatistik Gesamtzeit/Episoden-Anzahl (ApexCharts), Offline-Download-Kennzeichnung, Cross-Device-Fortschritt-Sync-Mockup, GSAP Wiedergabe-Steuerungs-Animationen - USE CASE: Podcast-Produzenten bieten Hörern eine eigene Player-Erfahrung ohne Plattform-Abhängigkeit, Hörbuch-Verlage integrieren Kapitel-Navigation für lange Werke nutzerfreundlich.",
            "overview": "erstelle einen Podcast-Hörbuch-Player mit Kapitel-Marken",
            "category": "MEDIA, GAMES & ENTERTAINMENT",
            "category_number": 8,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Podcast-Produzenten bieten Hörern eine eigene Player-Erfahrung ohne Plattform-Abhängigkeit, Hörbuch-Verlage integrieren Kapitel-Navigation für lange Werke nutzerfreundlich.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-180",
            "title": "entwickle eine Fan-Community-Sammlung-Showcase digitales Sammelalbum",
            "prompt_number": 180,
            "prompt": "entwickle eine Fan-Community-Sammlung-Showcase digitales Sammelalbum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitales Sammelalbum mit Slot-Raster für Sticker/Karten, Fortschritts-Anzeige pro Kategorie und Gesamt (ApexCharts Radial), Sammel-Historie wann welches Item hinzugefügt, Doppelten-Marker für Tauschbörse, Community-Ranking vollständigste Sammlungen Mock, Themen-Alben mehrere parallele Sammlungen, Freischalt-Animationen bei neuem Item, Statistik-Dashboard Sammelrate über Zeit, Wunschliste fehlende Items hervorgehoben, Export Sammelstatus als Bild zum Teilen, Jubiläums-Sonderseiten für Meilensteine, GSAP Sticker-Enthüllungs-Animationen - USE CASE: Fan-Communities digitalisieren klassische Sammelalben-Erfahrung für Vereine oder Serien, Marken binden Fans durch spielerische Sammel-Mechaniken ohne Papier-Alben. ## Kategorie 9: BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "overview": "entwickle eine Fan-Community-Sammlung-Showcase digitales Sammelalbum",
            "category": "MEDIA, GAMES & ENTERTAINMENT",
            "category_number": 8,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Fan-Communities digitalisieren klassische Sammelalben-Erfahrung für Vereine oder Serien, Marken binden Fans durch spielerische Sammel-Mechaniken ohne Papier-Alben. ## Kategorie 9: BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-181",
            "title": "erstelle einen interaktiven Lebenslauf-Portfolio-Builder mit Export",
            "prompt_number": 181,
            "prompt": "erstelle einen interaktiven Lebenslauf-Portfolio-Builder mit Export - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sektions-Editor Werdegang/Ausbildung/Skills per Drag&Drop sortierbar, Mehrere-Vorlagen-Design-Auswahl klassisch/modern/kreativ, Skill-Level-Visualisierung Balken oder Sterne (ApexCharts), Live-Vorschau während Bearbeitung Split-Screen, Zeitleisten-Ansicht Karriereverlauf (D3.js), Mehrsprachigkeits-Umschalter DE/EN Lebenslauf, ATS-Freundlichkeits-Check einfache Struktur-Warnung, PDF-Export druckfertig, Foto-Upload-Platzhalter mit Zuschnitt, Referenzen-Sektion optional ein-/ausblendbar, Versionsverwaltung mehrere Lebenslauf-Varianten je Bewerbung, GSAP Sektions-Einblend-Animationen - USE CASE: Bewerber erstellen professionelle Lebensläufe ohne Word-Formatierungs-Frust, Karriereberater unterstützen Klienten mit einem wiederverwendbaren Tool für mehrere Bewerbungsvarianten.",
            "overview": "erstelle einen interaktiven Lebenslauf-Portfolio-Builder mit Export",
            "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "category_number": 9,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Bewerber erstellen professionelle Lebensläufe ohne Word-Formatierungs-Frust, Karriereberater unterstützen Klienten mit einem wiederverwendbaren Tool für mehrere Bewerbungsvarianten.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-182",
            "title": "entwickle einen Bewerbungs-Tracker mit Status-Pipeline Kanban",
            "prompt_number": 182,
            "prompt": "entwickle einen Bewerbungs-Tracker mit Status-Pipeline Kanban - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kanban-Board Beworben/Interview/Angebot/Abgelehnt Drag&Drop, Bewerbungs-Karten mit Firma/Position/Datum/Notizen, Erinnerungs-Funktion Follow-Up-Termine, Erfolgsquote-Dashboard Conversion pro Stage (ApexCharts Funnel), Gehaltsverhandlungs-Notizen pro Bewerbung, Kontaktperson-Verwaltung pro Firma, Dokumenten-Anhang Anschreiben/Lebenslauf-Version pro Bewerbung, Zeitstrahl-Ansicht aller Bewerbungsaktivitäten, Statistik nach Branche/Quelle woher Bewerbung kam, Interview-Vorbereitungs-Checkliste pro Termin, Export Bewerbungsübersicht als Report, GSAP Karten-Drag-Animationen - USE CASE: Jobsuchende behalten bei parallelen Bewerbungen den Überblick statt Excel-Chaos, Karriereberatungen zeigen Klienten transparent ihre Bewerbungs-Erfolgsquote nach Phase.",
            "overview": "entwickle einen Bewerbungs-Tracker mit Status-Pipeline Kanban",
            "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "category_number": 9,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Jobsuchende behalten bei parallelen Bewerbungen den Überblick statt Excel-Chaos, Karriereberatungen zeigen Klienten transparent ihre Bewerbungs-Erfolgsquote nach Phase.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-183",
            "title": "programmiere einen persönlichen Haushaltsbuch-Planer mit Kategorien-Analyse",
            "prompt_number": 183,
            "prompt": "programmiere einen persönlichen Haushaltsbuch-Planer mit Kategorien-Analyse - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Einnahmen-/Ausgaben-Erfassung mit Kategorien, Monatsvergleich-Chart über 12 Monate (ApexCharts Line), 50/30/20-Regel-Visualisierung, Wiederkehrende-Ausgaben-Verwaltung Abos/Miete automatisch, Sparquote-Tracker mit Zielvorgabe, Kategorien-Donut Ausgabenverteilung, Jahresrückblick-Generator automatisch, Budget-Warnung bei Kategorie-Überschreitung, CSV-Import von Kontoauszügen Mock-Format, Haushaltsbuch-Vergleich mehrere Jahre nebeneinander, Export Steuerrelevante-Ausgaben-Liste, GSAP Kategorien-Balken-Animationen - USE CASE: Privathaushalte gewinnen Kontrolle über Ausgaben ohne Banking-App-Abo, Paare führen ein gemeinsames transparentes Haushaltsbuch mit klarer Kategorienübersicht.",
            "overview": "programmiere einen persönlichen Haushaltsbuch-Planer mit Kategorien-Analyse",
            "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "category_number": 9,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Privathaushalte gewinnen Kontrolle über Ausgaben ohne Banking-App-Abo, Paare führen ein gemeinsames transparentes Haushaltsbuch mit klarer Kategorienübersicht.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-184",
            "title": "baue eine Zeugnis-Zertifikats-Sammlung digitaler Ordner mit Ablauf-Erinnerung",
            "prompt_number": 184,
            "prompt": "baue eine Zeugnis-Zertifikats-Sammlung digitaler Ordner mit Ablauf-Erinnerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokumenten-Kategorien Zeugnisse/Zertifikate/Lizenzen mit Upload-Platzhalter, Ablaufdatum-Tracking mit Warnfarbe bei Nähe zum Verfall, Erinnerungs-Kalender Weiterbildungspflichten, Kategorisierung nach Gültigkeitsbereich Fachbereich, Verlaufs-Historie erneuerte Zertifikate chronologisch, Volltextsuche über Dokumenttitel und Tags, Statistik-Dashboard gültig/bald-ablaufend/abgelaufen (ApexCharts Donut), Verknüpfung zu Anbieter für Erneuerung, Export Zertifikats-Übersicht für Bewerbungen, Sicherheits-Hinweis zur Verschlüsselung sensibler Dokumente, Mehrere-Personen-Verwaltung Familie, GSAP Ablauf-Warn-Animationen - USE CASE: Berufstätige mit Pflichtfortbildungen behalten Ablauffristen im Blick ohne Excel-Liste, Personalabteilungen dokumentieren Mitarbeiter-Qualifikationen strukturiert und fristgerecht.",
            "overview": "baue eine Zeugnis-Zertifikats-Sammlung digitaler Ordner mit Ablauf-Erinnerung",
            "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "category_number": 9,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Berufstätige mit Pflichtfortbildungen behalten Ablauffristen im Blick ohne Excel-Liste, Personalabteilungen dokumentieren Mitarbeiter-Qualifikationen strukturiert und fristgerecht.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-185",
            "title": "erstelle einen Karriereweg-Planer mit Gehalts-Benchmark",
            "prompt_number": 185,
            "prompt": "erstelle einen Karriereweg-Planer mit Gehalts-Benchmark - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karrierepfad-Visualisierung mögliche nächste Positionen (D3.js Baumdiagramm), Gehalts-Benchmark-Vergleich nach Position/Branche/Region (ApexCharts Balken), Skill-Gap-Analyse aktuelle vs Zielposition-Anforderungen, Weiterbildungs-Empfehlungen zur Erreichung des Ziels, Zeithorizont-Rechner geschätzte Jahre bis Zielposition, Netzwerk-Kontakte-Tracker relevante Personen pro Zielposition, Branchenwechsel-Impact-Simulator, Verhandlungs-Vorbereitung Gehaltsforderung-Rechner, Karriere-Meilenstein-Tracker erreichte Etappen, Vergleich mehrerer Karrierepfade Side-by-Side, Export Karriereplan als PDF, GSAP Pfad-Fortschritts-Animationen - USE CASE: Berufstätige planen langfristige Karriereschritte mit realistischen Gehaltserwartungen, Personalentwicklungs-Teams unterstützen Mitarbeiter mit strukturierten Entwicklungspfaden.",
            "overview": "erstelle einen Karriereweg-Planer mit Gehalts-Benchmark",
            "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "category_number": 9,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Berufstätige planen langfristige Karriereschritte mit realistischen Gehaltserwartungen, Personalentwicklungs-Teams unterstützen Mitarbeiter mit strukturierten Entwicklungspfaden.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-186",
            "title": "entwickle einen Vertrags-Dokumenten-Vault mit Ablauf-Kalender",
            "prompt_number": 186,
            "prompt": "entwickle einen Vertrags-Dokumenten-Vault mit Ablauf-Kalender - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertrags-Kategorien Miete/Versicherung/Abo/Arbeitsvertrag mit Upload-Platzhalter, Kündigungsfristen-Kalender mit automatischer Erinnerung, Vertragswert-Übersicht monatliche Gesamtbelastung (ApexCharts Donut), Verlängerungs-Status automatisch/manuell gekennzeichnet, Kündigungsfristen-Rechner rückwärts vom Ablaufdatum, Dokumenten-Volltextsuche über Vertragsnamen, Vertragspartner-Verwaltung mit Kontaktdaten, Preishistorie bei Vertragsänderungen, Sicherheits-Hinweis Verschlüsselung sensibler Dokumente, Export Vertragsübersicht als Excel-kompatibles CSV, Erinnerungs-Vorlaufzeit individuell einstellbar, GSAP Ablauf-Countdown-Animationen - USE CASE: Privatpersonen verpassen keine Kündigungsfristen mehr für Abos und Verträge, Kleinunternehmer behalten alle Geschäftsverträge mit Fristen zentral im Blick.",
            "overview": "entwickle einen Vertrags-Dokumenten-Vault mit Ablauf-Kalender",
            "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "category_number": 9,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Privatpersonen verpassen keine Kündigungsfristen mehr für Abos und Verträge, Kleinunternehmer behalten alle Geschäftsverträge mit Fristen zentral im Blick.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-187",
            "title": "baue einen Meeting-Notizen & Aufgaben-Tracker mit Team-Zuweisung",
            "prompt_number": 187,
            "prompt": "baue einen Meeting-Notizen & Aufgaben-Tracker mit Team-Zuweisung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Meeting-Vorlagen mit Agenda-Struktur, Live-Notizen-Editor während Meeting, Automatische-Aufgaben-Extraktion aus Notizen zu Todo-Liste, Verantwortlichkeits-Zuweisung pro Aufgabe mit Fälligkeitsdatum, Meeting-Historie durchsuchbar nach Thema, Follow-Up-Status-Tracking offene Punkte aus letztem Meeting, Anwesenheits-Liste pro Meeting, Entscheidungs-Log wichtige Beschlüsse hervorgehoben, Aufgaben-Fortschritts-Dashboard Team-weit (ApexCharts Kanban-Style), Wiederkehrende-Meeting-Vorlagen, Export Meeting-Protokoll als PDF, GSAP Aufgaben-Erstellungs-Animationen - USE CASE: Teams dokumentieren Meetings strukturiert statt in verstreuten Notiz-Apps, Projektleiter verfolgen aus Meetings entstandene Aufgaben lückenlos bis zur Erledigung.",
            "overview": "baue einen Meeting-Notizen & Aufgaben-Tracker mit Team-Zuweisung",
            "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "category_number": 9,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Teams dokumentieren Meetings strukturiert statt in verstreuten Notiz-Apps, Projektleiter verfolgen aus Meetings entstandene Aufgaben lückenlos bis zur Erledigung.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-188",
            "title": "erstelle einen Freelancer-Rechnungs & Angebots-Generator",
            "prompt_number": 188,
            "prompt": "erstelle einen Freelancer-Rechnungs & Angebots-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rechnungs-Editor mit Positionen/Mengen/Preisen automatischer Summenberechnung, Angebots-zu-Rechnung-Konvertierung, Kunden-Datenbank mit Kontaktdaten, Umsatzsteuer-Berechnung Kleinunternehmerregelung-Option, Zahlungsstatus-Tracking offen/bezahlt/überfällig, Umsatz-Dashboard nach Monat/Kunde (ApexCharts Balken), Mahnwesen-Vorlagen bei Zahlungsverzug, Wiederkehrende-Rechnungen für Abo-Kunden, Ausgaben-Erfassung für Gewinnermittlung, Steuervorauszahlungs-Schätzer, Export Rechnungen als PDF mit eigenem Branding, GSAP Rechnungs-Erstellungs-Animationen - USE CASE: Freiberufler erstellen professionelle Rechnungen ohne teure Buchhaltungssoftware, Kleinunternehmer behalten Umsatz und offene Forderungen übersichtlich im Blick.",
            "overview": "erstelle einen Freelancer-Rechnungs & Angebots-Generator",
            "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "category_number": 9,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Freiberufler erstellen professionelle Rechnungen ohne teure Buchhaltungssoftware, Kleinunternehmer behalten Umsatz und offene Forderungen übersichtlich im Blick.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-189",
            "title": "entwickle einen persönlichen OKR-Ziel-Tracker mit Reflexions-Journal",
            "prompt_number": 189,
            "prompt": "entwickle einen persönlichen OKR-Ziel-Tracker mit Reflexions-Journal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ziel-Hierarchie Jahres-/Quartals-/Wochenziele verknüpft (D3.js), Fortschritts-Tracking pro Key Result mit Prozentanzeige, Wöchentliches-Reflexions-Journal was lief gut/schlecht, Gewohnheits-Tracker tägliche Habits mit Streak-Anzeige (ApexCharts Kalender-Heatmap), Zielkategorien Beruf/Gesundheit/Beziehungen/Finanzen, Motivations-Zitate-Rotation, Rückblick-Generator Monats-/Jahresrückblick automatisch, Zielkonflikt-Erkennung wenn Ziele sich zeitlich überschneiden, Erinnerungs-System Check-in-Rhythmus wöchentlich, Fortschritts-Visualisierung Gesamtübersicht aller Ziele, Export Journal als PDF, GSAP Fortschritts-Ring-Animationen - USE CASE: Menschen mit Selbstoptimierungs-Anspruch verfolgen persönliche Ziele strukturiert wie in Unternehmen, Coaches nutzen das Tool als Vorlage für Klienten-Zielvereinbarungen.",
            "overview": "entwickle einen persönlichen OKR-Ziel-Tracker mit Reflexions-Journal",
            "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "category_number": 9,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Menschen mit Selbstoptimierungs-Anspruch verfolgen persönliche Ziele strukturiert wie in Unternehmen, Coaches nutzen das Tool als Vorlage für Klienten-Zielvereinbarungen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-190",
            "title": "baue ein Networking-Kontakt-CRM für Privatpersonen",
            "prompt_number": 190,
            "prompt": "baue ein Networking-Kontakt-CRM für Privatpersonen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kontakt-Datenbank mit Kategorien beruflich/privat/mentoren, Letzter-Kontakt-Tracker mit Erinnerung bei zu langer Funkstille, Beziehungs-Stärke-Score manuell oder aus Interaktionshäufigkeit, Notizen pro Kontakt Gesprächsthemen/Interessen, Netzwerk-Graph-Visualisierung Verbindungen zwischen Kontakten (D3.js), Ereignis-Log Treffen/Anrufe/Nachrichten chronologisch, Geburtstags-/Jubiläums-Erinnerungen, Gegenseitige-Gefallen-Tracker wer schuldet wem was, Tag-System für Interessen/Skills der Kontakte, Kontakt-Empfehlungs-Score wen sollte ich als nächstes kontaktieren, Export Kontaktliste als vCard-kompatibles CSV, GSAP Netzwerk-Graph-Animationen - USE CASE: Networking-affine Menschen pflegen Beziehungen bewusst statt sie einschlafen zu lassen, Selbständige verwalten ihr berufliches Netzwerk ohne teures CRM-Tool. ## Kategorie 10: MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "overview": "baue ein Networking-Kontakt-CRM für Privatpersonen",
            "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
            "category_number": 9,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Networking-affine Menschen pflegen Beziehungen bewusst statt sie einschlafen zu lassen, Selbständige verwalten ihr berufliches Netzwerk ohne teures CRM-Tool. ## Kategorie 10: MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-191",
            "title": "erstelle ein Personalisierbares Dashboard-Baukasten Drag&Drop-Widgets",
            "prompt_number": 191,
            "prompt": "erstelle ein Personalisierbares Dashboard-Baukasten Drag&Drop-Widgets - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Widget-Bibliothek Chart/Liste/Kalender/Notiz frei platzierbar, Drag&Drop-Grid-Layout mit Größenänderung, Widget-Konfiguration pro Instanz eigene Datenquelle-Mock, Mehrere-Dashboard-Profile für unterschiedliche Zwecke, Theme-Editor Farben/Schriftart anpassbar, Layout-Vorlagen vordefiniert für Schnellstart, Widget-Verbindungs-Logik ein Widget filtert ein anderes, Export/Import Dashboard-Konfiguration als JSON, Vollbild-Präsentations-Modus pro Dashboard, Auto-Refresh-Intervall pro Widget einstellbar, Responsive-Verhalten-Vorschau Mobile/Tablet/Desktop, GSAP Widget-Platzierungs-Animationen - USE CASE: Teams bauen sich individuelle Übersichts-Dashboards ohne Entwickler-Ressourcen, Power-User konsolidieren verschiedene Datenquellen in einer persönlichen Ansicht.",
            "overview": "erstelle ein Personalisierbares Dashboard-Baukasten Drag&Drop-Widgets",
            "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "category_number": 10,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Teams bauen sich individuelle Übersichts-Dashboards ohne Entwickler-Ressourcen, Power-User konsolidieren verschiedene Datenquellen in einer persönlichen Ansicht.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-192",
            "title": "entwickle einen Windows-Desktop-Style-App-Launcher mit Fenster-Management",
            "prompt_number": 192,
            "prompt": "entwickle einen Windows-Desktop-Style-App-Launcher mit Fenster-Management - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Desktop-Icon-Grid mit Kategorien-Ordnern, Taskleiste mit offenen Fenstern und Vorschau, Draggable-und-Resizable-Fenster mehrere gleichzeitig offen, Startmenü mit Suchfunktion über alle Apps, Fenster-Snap-Funktion an Bildschirmränder, Minimieren/Maximieren/Schließen pro Fenster, Desktop-Widgets Uhr/Wetter-Mockup, Rechtsklick-Kontextmenü auf Icons, Mehrere-virtuelle-Desktops-Umschalter, Fenster-Stapel-Verwaltung Z-Index korrekt, Anpassbares-Hintergrundbild, GSAP Fenster-Öffnen-Schließen-Animationen - USE CASE: Portale präsentieren viele Einzel-Apps in einer vertrauten Desktop-Metapher statt einer langen Linkliste, Interne Tool-Sammlungen wirken wie eine zusammenhängende Softwaresuite statt loser HTML-Dateien.",
            "overview": "entwickle einen Windows-Desktop-Style-App-Launcher mit Fenster-Management",
            "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "category_number": 10,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Portale präsentieren viele Einzel-Apps in einer vertrauten Desktop-Metapher statt einer langen Linkliste, Interne Tool-Sammlungen wirken wie eine zusammenhängende Softwaresuite statt loser HTML-Dateien.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-193",
            "title": "programmiere ein paywall-geschütztes Multi-App-Portal-Cockpit",
            "prompt_number": 193,
            "prompt": "programmiere ein paywall-geschütztes Multi-App-Portal-Cockpit - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Login-Screen mit Zugangscode-Eingabe UND deutlichem Hinweis dass echte Validierung serverseitig erfolgen muss, Gastmodus mit eingeschränktem Funktionsumfang, App-Sidebar mit Icon-Liste mehrerer eingebundener Tools, Iframe-Hauptbereich mit Lade-Status-Anzeige, Verbindungsstatus-Indikator pro eingebettete App, Nutzungsstatistik welche Apps wie oft geöffnet (ApexCharts Balken), Zugriffsstufen-Konzept Basic/Premium als UI-Mockup, Onboarding-Tour für Erstnutzer, Feedback-Formular pro App, Favoriten-Sortierung häufig genutzter Apps nach oben, Abmelde-Funktion mit Sitzungs-Timeout-Hinweis, GSAP Sidebar-Wechsel-Animationen - USE CASE: Anbieter bündeln mehrere kostenpflichtige Tools hinter einem gemeinsamen Zugang. WICHTIG: dieser Prompt ist ausdrücklich nur für die UI gedacht — echte Zahlungs-/Zugangsvalidierung gehört serverseitig, niemals als reiner Client-Check umgesetzt (siehe SECURITY-FINDINGS.md für ein Negativbeispiel aus dem eigenen Stack).",
            "overview": "programmiere ein paywall-geschütztes Multi-App-Portal-Cockpit",
            "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "category_number": 10,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Anbieter bündeln mehrere kostenpflichtige Tools hinter einem gemeinsamen Zugang. WICHTIG: dieser Prompt ist ausdrücklich nur für die UI gedacht — echte Zahlungs-/Zugangsvalidierung gehört serverseitig, niemals als reiner Client-Check umgesetzt (siehe SECURITY-FINDINGS.md für ein Negativbeispiel aus dem eigenen Stack).",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-194",
            "title": "baue eine zentrale Such & Quick-Link-Übersicht für Tool-Sammlungen",
            "prompt_number": 194,
            "prompt": "baue eine zentrale Such & Quick-Link-Übersicht für Tool-Sammlungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Live-Suchfeld filtert Kategorien und Einzeltools sofort, Kategorie-Kacheln mit Farbcodierung und Statistik-Badges, Kürzlich-genutzt-Verlauf, Meistgenutzt-Ranking basierend auf Klicks (ApexCharts Balken), Tag-basierte-Filterung zusätzlich zu Kategorien, Neu-hinzugefügt-Kennzeichnung für frische Einträge, Kaputte-Links-Warnindikator falls Ziel nicht erreichbar Mock, Vorschau-Tooltip bei Hover über Eintrag, Eigene-Sammlungen anlegen kuratierte Unterlisten, Keyboard-Navigation Pfeiltasten und Enter, Statistik-Dashboard Gesamtanzahl Tools pro Kategorie, GSAP Kachel-Such-Filter-Animationen - USE CASE: Große Archiv-Sammlungen mit hunderten Einzel-Apps werden durch Live-Suche statt endlosem Scrollen erschlossen, Teams finden intern gebaute Tools schnell wieder statt sie zu vergessen.",
            "overview": "baue eine zentrale Such & Quick-Link-Übersicht für Tool-Sammlungen",
            "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "category_number": 10,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Große Archiv-Sammlungen mit hunderten Einzel-Apps werden durch Live-Suche statt endlosem Scrollen erschlossen, Teams finden intern gebaute Tools schnell wieder statt sie zu vergessen.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-195",
            "title": "erstelle ein rollenbasiertes Team-Portal mit Berechtigungs-Stufen",
            "prompt_number": 195,
            "prompt": "erstelle ein rollenbasiertes Team-Portal mit Berechtigungs-Stufen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rollen-Auswahl-Mockup Guest/Member/Admin mit unterschiedlicher Sidebar, Berechtigungs-Matrix-Ansicht wer darf was (D3.js Tabelle), Admin-Bereich Nutzerverwaltung-Mockup, Aktivitäts-Log wer hat wann was geöffnet, Rollenwechsel-Simulator zum Testen verschiedener Ansichten, Zugriffs-angefragt-Workflow Mock Freigabe-Prozess, Team-Verzeichnis mit Rollen-Kennzeichnung, Benachrichtigungs-Center rollenspezifische Hinweise, Onboarding-Checkliste je nach Rolle unterschiedlich, Sicherheits-Hinweis-Panel Berechtigungskonzept erklärt, Export Berechtigungs-Übersicht für Dokumentation, GSAP Rollenwechsel-Übergangs-Animationen - USE CASE: Interne Tool-Portale demonstrieren ein rollenbasiertes Zugriffskonzept vor echter Backend-Implementierung, Teams dokumentieren Berechtigungsstrukturen visuell nachvollziehbar für Audits.",
            "overview": "erstelle ein rollenbasiertes Team-Portal mit Berechtigungs-Stufen",
            "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "category_number": 10,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Interne Tool-Portale demonstrieren ein rollenbasiertes Zugriffskonzept vor echter Backend-Implementierung, Teams dokumentieren Berechtigungsstrukturen visuell nachvollziehbar für Audits.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-196",
            "title": "entwickle ein Iframe-Aggregator-Cockpit für externe Web-Apps",
            "prompt_number": 196,
            "prompt": "entwickle ein Iframe-Aggregator-Cockpit für externe Web-Apps - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Tab-Iframe-Ansicht mehrere externe Tools gleichzeitig eingebettet, Tab-Leiste mit Favicon und Titel pro eingebetteter App, Split-Screen-Modus zwei Apps nebeneinander, Lade-Fehler-Erkennung mit Fallback-Hinweis bei blockiertem Embedding, Quick-Switch-Tastenkombination zwischen Tabs, Verlaufs-Liste zuletzt geöffneter externer Apps, Notiz-Overlay um Beobachtungen während Nutzung festzuhalten, Vollbild-Fokus-Modus einzelne App, Bookmark-Leiste favorisierte externe Tools, Verbindungsqualitäts-Indikator pro eingebetteter App Mock, Export Sitzungs-Notizen, GSAP Tab-Wechsel-Animationen - USE CASE: Nutzer bündeln verstreute externe Web-Tools in einer gemeinsamen Arbeitsoberfläche, Analysten vergleichen mehrere Datenquellen nebeneinander ohne Tab-Chaos im Browser.",
            "overview": "entwickle ein Iframe-Aggregator-Cockpit für externe Web-Apps",
            "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "category_number": 10,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Nutzer bündeln verstreute externe Web-Tools in einer gemeinsamen Arbeitsoberfläche, Analysten vergleichen mehrere Datenquellen nebeneinander ohne Tab-Chaos im Browser.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-197",
            "title": "baue eine Bookmark & Tool-Bibliothek mit Tag-basierter Suche",
            "prompt_number": 197,
            "prompt": "baue eine Bookmark & Tool-Bibliothek mit Tag-basierter Suche - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bookmark-Erfassung mit Titel/URL/Beschreibung/Tags, Tag-Cloud-Ansicht Größe nach Häufigkeit (D3.js), Multi-Tag-Filter kombinierbar UND/ODER-Logik, Ordner-Struktur zusätzlich zu Tags, Duplikat-Erkennung ähnliche URLs, Tote-Links-Checker-Mockup periodische Prüfung, Import aus Browser-Bookmark-Export-Datei, Nutzungsstatistik meistgeklickte Bookmarks (ApexCharts Balken), Team-Sharing-Mockup gemeinsame Bibliothek, Schnellzugriffs-Leiste Top-10-Favoriten, Suchverlauf für wiederkehrende Suchen, Export Bibliothek als HTML-Bookmark-Datei, GSAP Tag-Cloud-Animationen - USE CASE: Menschen mit hunderten Lesezeichen organisieren diese endlich durchsuchbar statt in unübersichtlichen Browser-Ordnern, Teams teilen eine kuratierte Tool- und Ressourcen-Bibliothek zentral.",
            "overview": "baue eine Bookmark & Tool-Bibliothek mit Tag-basierter Suche",
            "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "category_number": 10,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Menschen mit hunderten Lesezeichen organisieren diese endlich durchsuchbar statt in unübersichtlichen Browser-Ordnern, Teams teilen eine kuratierte Tool- und Ressourcen-Bibliothek zentral.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-198",
            "title": "erstelle ein Status & Health-Monitor-Dashboard für mehrere Sub-Apps",
            "prompt_number": 198,
            "prompt": "erstelle ein Status & Health-Monitor-Dashboard für mehrere Sub-Apps - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: App-Liste mit Status-Ampel online/langsam/offline Mock-Simulation, Uptime-Historie-Chart pro App letzte 30 Tage (ApexCharts Balken), Antwortzeit-Trend pro App (D3.js Sparkline), Incident-Log vergangene Ausfälle mit Dauer, Abhängigkeits-Graph welche App braucht welche andere (D3.js), Alert-Konfiguration-Mockup bei Statusänderung, Wartungsfenster-Ankündigungs-Banner, Gesamt-Gesundheits-Score aller Apps kombiniert (ApexCharts Gauge), Verantwortlichkeits-Zuweisung pro App wer ist zuständig, Statusseite-Ansicht öffentlich vs intern, Export Incident-Report, GSAP Status-Wechsel-Puls-Animationen - USE CASE: Betreiber großer HTML-App-Sammlungen behalten Überblick welche Tools funktionieren, Teams kommunizieren Ausfälle transparent an Nutzer über eine zentrale Statusseite.",
            "overview": "erstelle ein Status & Health-Monitor-Dashboard für mehrere Sub-Apps",
            "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "category_number": 10,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Betreiber großer HTML-App-Sammlungen behalten Überblick welche Tools funktionieren, Teams kommunizieren Ausfälle transparent an Nutzer über eine zentrale Statusseite.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-199",
            "title": "entwickle eine White-Label-Portal-Vorlage mit Theme-Switcher",
            "prompt_number": 199,
            "prompt": "entwickle eine White-Label-Portal-Vorlage mit Theme-Switcher - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Theme-Editor Primärfarbe/Logo/Schriftart live anpassbar, Vorschau-Modus Änderungen sofort sichtbar, Mehrere-Marken-Profile speichern und wechseln, Vordefinierte-Theme-Vorlagen als Startpunkt, Komponenten-Bibliothek Buttons/Karten/Formulare im gewählten Theme, Export Theme als CSS-Variablen-Datei, Kontrast-Check-Warnung bei schlechter Lesbarkeit automatisch, Dark-Mode-Variante pro Theme automatisch generiert, Responsive-Vorschau verschiedene Bildschirmgrößen, Versionshistorie Theme-Änderungen mit Rollback, Screenshot-Export für Freigabe-Prozesse, GSAP Theme-Wechsel-Übergangs-Animationen - USE CASE: Agenturen liefern White-Label-Portale für mehrere Kunden aus einer gemeinsamen Codebasis, Marken passen ein bestehendes Portal-Grundgerüst schnell an eigenes Corporate Design an.",
            "overview": "entwickle eine White-Label-Portal-Vorlage mit Theme-Switcher",
            "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "category_number": 10,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Agenturen liefern White-Label-Portale für mehrere Kunden aus einer gemeinsamen Codebasis, Marken passen ein bestehendes Portal-Grundgerüst schnell an eigenes Corporate Design an.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "stack-100-prompts:prompt-200",
            "title": "programmiere ein Onboarding-Tour-Guide-Overlay-System für Multi-App-Portale",
            "prompt_number": 200,
            "prompt": "programmiere ein Onboarding-Tour-Guide-Overlay-System für Multi-App-Portale - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schritt-für-Schritt-Tour-Overlay mit Spotlight-Effekt auf UI-Elemente, Tour-Editor um eigene Touren für verschiedene Nutzergruppen zu erstellen, Fortschritts-Anzeige Schritt X von Y, Überspringen-und-Später-Fortsetzen-Option, Kontextsensitive-Tooltips bei Erstbesuch einzelner Bereiche, Tour-Abschluss-Statistik wie viele Nutzer komplett durchlaufen (ApexCharts Funnel), Mehrere-Touren-Bibliothek je nach Feature-Bereich, Wiederholung-Anfordern-Button falls Nutzer Tour nochmal sehen will, Video-Platzhalter-Einbindung pro Schritt optional, Feedback-Frage am Tour-Ende war das hilfreich, Mehrsprachigkeit der Tour-Texte, GSAP Spotlight-Übergangs-Animationen - USE CASE: Neue Nutzer komplexer Multi-App-Portale finden sich durch geführte Touren schneller zurecht, Produktteams reduzieren Support-Anfragen durch proaktive In-App-Erklärungen. ## Hinweis Bewusst nicht abgedeckt: 11-data-exports-assets und 99-uncategorized aus dem HTML-MD-EXPORT-Katalog (zu klein/uneinheitlich für eine eigene 10er-Sektion). `batches.zip` (BIZ/CREA/CYBER/EDU/...-CSVs) ist ein separates KI-Bild-Generierungs-Batch, kein HTML-App-Batch — anderes Format, eigene Pipeline, hier nicht mitkonvertiert.",
            "overview": "programmiere ein Onboarding-Tour-Guide-Overlay-System für Multi-App-Portale",
            "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
            "category_number": 10,
            "cluster": "Cross-Sektor / Restlicher Stack",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "ai-agents",
              "trading",
              "dev-tools",
              "news",
              "travel",
              "sports",
              "media",
              "business",
              "portals"
            ],
            "use_case": "Neue Nutzer komplexer Multi-App-Portale finden sich durch geführte Touren schneller zurecht, Produktteams reduzieren Support-Anfragen durch proaktive In-App-Erklärungen. ## Hinweis Bewusst nicht abgedeckt: 11-data-exports-assets und 99-uncategorized aus dem HTML-MD-EXPORT-Katalog (zu klein/uneinheitlich für eine eigene 10er-Sektion). `batches.zip` (BIZ/CREA/CYBER/EDU/...-CSVs) ist ein separates KI-Bild-Generierungs-Batch, kein HTML-App-Batch — anderes Format, eigene Pipeline, hier nicht mitkonvertiert.",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          }
        ]
      },
      {
        "catalog_type": "prompt_library",
        "catalog_id": "dvag-100-prompts",
        "title": "100 DVAG Komplexe HTML5 App-Prompts",
        "description": "Prompt library sourced from dvag-100-prompts.md; prompts are ideas, not verified project evidence.",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "count": 100,
        "categories": [
          "ALTERSVORSORGE & RENTE",
          "BERATER-PRODUKTIVITÄT & CRM",
          "FINANZPLANUNG & BERATUNGSTOOLS",
          "IMMOBILIEN-TOOLS & FINANZIERUNG",
          "INVESTMENT & PORTFOLIO TOOLS",
          "KONZERN-DASHBOARDS DVAG MANAGEMENT",
          "KUNDEN-SELF-SERVICE PORTALE",
          "STEUER & RECHT TOOLS",
          "TRAINING & ONBOARDING APPS",
          "VERSICHERUNGS-APPS & BEDARFSANALYSE"
        ],
        "records": [
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-001",
            "title": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard",
            "prompt_number": 1,
            "prompt": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 360° Finanzübersicht mit Einnahmen/Ausgaben Sankey Diagram (D3.js), Vermögensaufbau Timeline 30 Jahre (ApexCharts Area Chart), Cashflow-Waterfall Monatlich (ApexCharts Waterfall), Schuldenabbau-Simulator mit Snowball vs Avalanche Vergleich, Notgroschen-Rechner 3-6 Monate Expenses, Asset Allocation Pie Chart mit Rebalancing Alerts, Steuerbelastung Visualizer progressive Steuersätze, Sparziel-Tracker mit Meilenstein-Badges, PDF-Export Finanzplan DVAG-Branding, Offline-Modus IndexedDB, Dark Mode, GSAP Page Transitions, Mobile Touch Gestures - USE CASE: DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus",
            "overview": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-002",
            "title": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced",
            "prompt_number": 2,
            "prompt": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budget-Kategorien Manager (Housing, Transport, Food, Insurance, Entertainment etc.), Ausgaben-Tracking mit Chart.js Donut Charts, 50/30/20 Rule Visualizer (Needs/Wants/Savings), Trendanalyse Monatlich/Jährlich (ApexCharts Line Charts), Budgetüberschreitungs-Alerts mit Push Notifications API, Vergleich zu Durchschnitt nach Haushaltsgröße und Region, Variable vs Fixed Expenses Breakdown, Saisonale Ausgaben-Muster Heatmap (D3.js), Einsparungspotenzial-Finder AI-basiert, CSV Import/Export, GSAP Animations, Responsive Mobile-First - USE CASE: Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights",
            "overview": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-003",
            "title": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard",
            "prompt_number": 3,
            "prompt": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multiple Income Streams Tracker (W2, Freelance, Dividends, Rental, Business), Income Diversification Score Calculator, Passive vs Active Income Ratio (ApexCharts Radial Bar), Income Growth Projection 10 Jahre (D3.js Multi-Line Chart), Einkommensstabilität-Analyse Volatility Index, Tax Impact Calculator per Income Stream, Side Hustle ROI Analyzer, Income Funnel Visualizer (D3.js Sankey), Monatliche Income Distribution Heatmap, Jahresvergleich Income Mix, GSAP Counter Animations, PWA Offline Support - USE CASE: Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency",
            "overview": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-004",
            "title": "baue ein DVAG Lebensstandard-Planer Retirement",
            "prompt_number": 4,
            "prompt": "baue ein DVAG Lebensstandard-Planer Retirement - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Retirement Lifestyle Calculator, Inflationsanpassung 2-3% jährlich automatisch, Healthcare Cost Projector im Alter, Travel & Leisure Budget Planner, Housing Downsizing Calculator, Longevity Risk Analyzer bis 100 Jahre, Social Security Timing Optimizer (früh vs spät), Renten-Lücken-Rechner mit Visualization (ApexCharts Gap Chart), Lifestyle Inflation Tracker, Bucket Strategy Planner (Short/Mid/Long Term), Geographic Arbitrage Calculator Umzug Low-Cost Areas, GSAP Timeline Scroll Animations - USE CASE: Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken",
            "overview": "baue ein DVAG Lebensstandard-Planer Retirement",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-005",
            "title": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation",
            "prompt_number": 5,
            "prompt": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Family Tree Visualizer mit Finanzzielen (D3.js Hierarchical Layout), Bildungsfinanzierung-Calculator pro Kind (College/Uni Costs), Generational Wealth Transfer Simulator, Erbschaftssteuer-Optimierer, Life Insurance Needs Calculator ganze Familie, Notfallplan Financial Emergency Kit, Income Loss Protection Analysis, Family Budget Consolidator alle Haushaltsmitgliber, Kids Financial Education Tracker Taschengeld & Sparen, Großeltern zu Enkel Transfer 529 Plans, GSAP Family Tree Animations, Collaborative Editing Multi-User - USE CASE: Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert",
            "overview": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-006",
            "title": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit",
            "prompt_number": 6,
            "prompt": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Nettovermögen-Tracker Assets minus Liabilities (ApexCharts Gauge), Asset Breakdown Real Estate/Stocks/Bonds/Cash/Crypto/Business (D3.js Treemap), Liability Details Mortgages/Student Loans/Credit Cards/Car Loans, Net Worth Timeline Historisch & Projektiert (ApexCharts Combo Chart), Debt-to-Asset Ratio Calculator, Liquidity Ratio Analyzer, Vermögensstruktur nach Risiko Low/Medium/High, Rebalancing Recommendations, Tax-Loss Harvesting Opportunities, Estate Value for Inheritance Planning, GSAP Number Counter Animations, Auto-Refresh Dashboard - USE CASE: Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit",
            "overview": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-007",
            "title": "programmiere einen DVAG Notfall-Finanzplan Generator",
            "prompt_number": 7,
            "prompt": "programmiere einen DVAG Notfall-Finanzplan Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Emergency Fund Size Calculator 3-6-12 Monate, Job Loss Income Replacement Simulator, Medical Emergency Cost Estimator, Home Repair Emergency Fund, Auto Breakdown Reserve, Legal Emergency Fund, Income Continuity Plan bei Ausfall, Expense Cutting Roadmap Prioritized (D3.js Flow Diagram), Insurance Coverage Gap Analysis, Quick Access Liquidity Checker, Emergency Contact Financial Info Vault, Scenario Planner What-If Analysis, GSAP Alert Animations, Print Emergency Plan PDF - USE CASE: Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan",
            "overview": "programmiere einen DVAG Notfall-Finanzplan Generator",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-008",
            "title": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder",
            "prompt_number": 8,
            "prompt": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FI Number Calculator 25x Annual Expenses, Current vs Target Networth Gap (ApexCharts Progress Bar), Savings Rate Optimizer 10% bis 70%, Years to FI Calculator mit Compound Interest, Coast FI Calculator wann genug investiert, Barista FI Teil-Retirement Planner, Lean vs Fat FI Lifestyle Chooser, Geographic Arbitrage Impact, Side Hustle Addition Impact, Investment Return Scenarios 5%/7%/10% (D3.js Monte Carlo), Withdrawal Strategy 4% Rule vs Variable, Sequence of Returns Risk Visualizer, GSAP Milestone Animations - USE CASE: Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien",
            "overview": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-009",
            "title": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime",
            "prompt_number": 9,
            "prompt": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lifetime Earnings Calculator Start bis Rente, Gehaltserhöhungs-Projektion 3-5% jährlich, Career Path Comparator Angestellt vs Selbständig vs Beamter, Bildungsinvestition ROI Calculator Master/PhD vs Direkt arbeiten, Job-Wechsel Timing Optimizer maximale Earnings, Branchenwechsel Financial Impact, Geographic Location Salary Adjuster, Remote Work Income Opportunities, Skill Premium Calculator zusätzliche Qualifikationen, Promotion Impact Visualizer, Gender Pay Gap Analyzer, Career Plateau Identifier, GSAP Career Timeline Animations - USE CASE: Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings",
            "overview": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-010",
            "title": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification",
            "prompt_number": 10,
            "prompt": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multi-Goal Tracker (Notfonds, Altersvorsorge, Eigenheim, Auto, Urlaub, Bildung), Goal Priority Ranker Eisenhower Matrix (D3.js Scatter Plot), Progress Bars mit Milestone Badges, Savings Velocity Meter wie schnell zum Ziel (ApexCharts Speedometer), Goal Interdependency Visualizer (D3.js Network Graph), Motivation Boosters Achievement System, Social Sharing Progress optional, Automatic Savings Allocator zu Goals, Goal Conflict Resolver bei Budget-Limits, Celebration Animations GSAP bei erreichten Meilensteinen, Timeline View alle Goals (D3.js Gantt), Retrospective Goal Analysis was funktioniert - USE CASE: Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking ## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS",
            "overview": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking ## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-011",
            "title": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional",
            "prompt_number": 11,
            "prompt": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Portfolio Holdings Table sortable/filterable, Asset Allocation Donut Chart Aktien/Anleihen/Immobilien/Cash/Alternative (ApexCharts), Sector Allocation Breakdown (D3.js Treemap), Geographic Diversification World Map (D3.js Geo), Performance Attribution Analysis, Risk Metrics Volatility/Sharpe/Sortino/Max Drawdown, Correlation Matrix Heatmap Assets (D3.js), Rebalancing Calculator mit Band-Width 5%, Tax-Aware Rebalancing, Portfolio Overlap Detector bei mehreren Depots, Factor Exposure Value/Growth/Momentum, Benchmark Comparison S&P500/MSCI World, GSAP Chart Transitions - USE CASE: Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap",
            "overview": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-012",
            "title": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced",
            "prompt_number": 12,
            "prompt": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Selektor nach Kriterien TER/Tracking Difference/Volumen/Replizierung, Core-Satellite Strategie Builder 70/30 bis 90/10, Sparrate-Calculator monatlich/quartalsweise, Compound Interest Simulator 30 Jahre (ApexCharts Area Chart), Rebalancing Frequency Optimizer jährlich vs quartalsweise, Tax-Optimized ETF Selection Thesaurierend vs Ausschüttend Deutschland, Ausschüttungsrendite-Tracker, Cost Comparison Broker-Gebühren TER Impact, Index-Wahl MSCI World vs FTSE All-World vs S&P500, Small Cap Value Tilt Calculator, Emerging Markets Allocation, Dividend ETF vs Growth ETF Comparison, GSAP Scroll Animations - USE CASE: Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau",
            "overview": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-013",
            "title": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional",
            "prompt_number": 13,
            "prompt": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dividend Aristocrats Screener 25+ Jahre Erhöhungen, Dividend Yield vs Growth Matrix (D3.js Scatter Plot), Payout Ratio Safety Analyzer, Dividend Growth Rate Calculator CAGR, Forward Dividend Income Projector 10 Jahre (ApexCharts), Dividend Calendar Zahlungstermine (D3.js Timeline), DRIP Reinvestment Impact Calculator, Sector Diversification Dividends, International Dividend Stocks Withholding Tax, Dividend Tax Treatment Deutschland Teilfreistellung, Dividend Safety Score Composite, Yield on Cost Tracker, Monthly Dividend Income Builder, GSAP Dividend Payment Animations - USE CASE: Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus",
            "overview": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-014",
            "title": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse",
            "prompt_number": 14,
            "prompt": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Crypto Holdings Tracker BTC/ETH/Altcoins mit Live-Preisen Mock-API, Portfolio Allocation Pie Chart (ApexCharts), Volatility Tracker 30-Day Rolling (ApexCharts Candlestick), Crypto Correlation Matrix (D3.js Heatmap), Bitcoin Dominance Indicator, DCA Dollar-Cost-Averaging Calculator, Tax-Loss Harvesting Crypto Deutschland, Cold Wallet Allocation Empfehlung, Crypto Risk Score Volatility-Based, Altcoin Exposure Warnings, Stablecoin Reserve Optimizer, Crypto Fear & Greed Index Display, Blockchain Transaction Visualizer (D3.js Network), GSAP Price Change Animations - USE CASE: Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization",
            "overview": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-015",
            "title": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional",
            "prompt_number": 15,
            "prompt": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bond Ladder Visualizer 1-30 Jahre Laufzeiten (D3.js Gantt), Yield-to-Maturity Calculator, Duration & Convexity Analyzer, Interest Rate Risk Simulator Rising/Falling Rates, Credit Rating Breakdown AAA bis Junk (ApexCharts Stacked Bar), Municipal Bonds Tax-Equivalent Yield, Corporate Bonds vs Government Bonds Spread, Inflation-Protected TIPS Calculator, Callable Bonds Risk Analyzer, Bond Allocation nach Alter Glide Path, Coupon Payment Calendar, Bond Fund vs Individual Bonds Comparison, GSAP Bond Maturity Animations - USE CASE: Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield",
            "overview": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-016",
            "title": "entwickle ein DVAG Alternative-Investments-Dashboard",
            "prompt_number": 16,
            "prompt": "entwickle ein DVAG Alternative-Investments-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alternative Assets Tracker Gold/Commodities/Art/Wine/Collectibles, Real Estate Crowdfunding Portfolio, Private Equity Holdings, Peer-to-Peer Lending Returns, Correlation zu Traditional Assets (D3.js Heatmap), Liquidity Risk Analyzer Lock-Up Periods, Alternative Investment Allocation 5-20% Portfolio, Inflation Hedge Calculator Gold/Commodities, Vintage Performance Tracker Wine Investment, NFT Portfolio Tracker optional, Hedge Fund Allocation, Venture Capital Exposure, GSAP Alternative Asset Animations - USE CASE: Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio",
            "overview": "entwickle ein DVAG Alternative-Investments-Dashboard",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-017",
            "title": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced",
            "prompt_number": 17,
            "prompt": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Factor Exposure Analyzer Value/Growth/Momentum/Quality/Low Volatility/Size, Faktor-Prämien Historical Returns (ApexCharts Multi-Line), Portfolio Factor Loading (D3.js Radar Chart), Factor Timing Indicators, Multi-Factor Portfolio Builder, Factor Correlation Matrix, Smart Beta ETF Selector, Factor Concentration Risk, Value Spread Indicator günstig vs teuer, Momentum Ranking System, Quality Score Composite, Size Premium Small vs Large Cap, GSAP Factor Visualization Animations - USE CASE: Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns",
            "overview": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-018",
            "title": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization",
            "prompt_number": 18,
            "prompt": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Target Allocation Comparison (ApexCharts Radar), Drift Analyzer wie weit von Target (D3.js Bar Chart Deviation), Rebalancing Trade Calculator minimale Trades, Tax-Lot Optimizer Highest Cost Basis zuerst, Wash Sale Rule Checker, Capital Gains Impact Estimator Short vs Long-Term, Rebalancing Frequency Optimizer, Threshold-Based Rebalancing 5%/10%/20% Bands, Cash Flow Rebalancing mit neuen Beiträgen, Asset Location Optimizer Taxable vs Tax-Deferred, Transaction Cost Minimizer, Rebalancing History Tracker, GSAP Trade Animations - USE CASE: Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing",
            "overview": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-019",
            "title": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced",
            "prompt_number": 19,
            "prompt": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: DCA vs Lump Sum Comparison Historisch (ApexCharts Line Chart), Monte Carlo Simulation 1000 Runs (D3.js Distribution), Volatility Impact auf DCA, DCA Schedule Optimizer monatlich/wöchentlich/täglich, Market Timing Failure Visualizer, Bear Market DCA Advantage, Psychological Benefit Score DCA, Automated Investment Plan Builder, Cost Basis Tracking, DCA Performance verschiedene Assets, Scenario Planner Bull/Bear/Sideways Market, Historical Backtest S&P500 40 Jahre, GSAP DCA Purchase Animations - USE CASE: Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren",
            "overview": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-020",
            "title": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical",
            "prompt_number": 20,
            "prompt": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historical Factor Performance 1930-2024 (ApexCharts Multi-Line), Value Premium Tracker HML High-Minus-Low, Size Premium SMB Small-Minus-Big, Momentum Premium UMD Up-Minus-Down, Quality Premium RMW Robust-Minus-Weak, Factor Drawdown Analysis, Factor Cyclicality Bull vs Bear Markets, Multi-Factor Portfolio Backtester, Sharpe Ratio Comparison Factors, Factor Regression Analyzer, Long Dry Spells Identifier Value Lost Decade, Factor Diversification Benefit, GSAP Historical Chart Animations - USE CASE: Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data ## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "overview": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data ## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-021",
            "title": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett",
            "prompt_number": 21,
            "prompt": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Human Life Value Calculator Einkommen kapitalisiert, DIME Method Debt/Income/Mortgage/Education, Needs-Based Analysis Family Income Replacement, Term Life vs Whole Life Comparison (ApexCharts Bar Chart), Laddering Strategy Visualizer 10/20/30 Jahre (D3.js Timeline), Premium Calculator Alter/Gesundheit/Betrag, Benefit Calculator Todesfall-Summe, Mortgage Protection Analyzer, Children Education Fund Bedarf, Final Expenses Bestattung, Income Replacement Duration bis Rente, Inflation Adjuster Kaufkraft, Coverage Gap Identifier Unterversicherung, GSAP Insurance Needs Animations - USE CASE: Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance",
            "overview": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-022",
            "title": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional",
            "prompt_number": 22,
            "prompt": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: BU-Renten-Bedarf Calculator 60-80% Nettoeinkommen, Versorgungslücken-Analyse gesetzlich vs privat, Berufsgruppen-Risiko-Bewertung (D3.js Risk Matrix), Leistungsdauer bis 67 Jahre, Dynamik-Option Inflation Protection, Prämien-Vergleich mit/ohne Dynamik (ApexCharts), Abstract vs Konkrete Verweisung Impact, Gesundheitsfragen-Simulator, Ausschlüsse & Einschränkungen Visualizer, Wartezeit & Karenzzeit Erklärer, BU-Rente steuerliche Behandlung, Nachversicherungsgarantie Wert-Rechner, GSAP Risk Animations - USE CASE: Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung",
            "overview": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-023",
            "title": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV",
            "prompt_number": 23,
            "prompt": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: PKV vs GKV Lifetime Cost Comparison (ApexCharts Line Chart), Einkommensschwelle Wechsel PKV 66.600€, Familienplanung Impact Kinder GKV kostenlos, Selbstbehalt-Optimizer 300€ bis 2000€, Beitragsrückerstattung Calculator, Altersrückstellungen PKV Visualizer, Beitragsentwicklung Prognose 40 Jahre, Leistungsvergleich Einzelzimmer/Chefarzt, Zusatzversicherungen Bedarf Zahn/Brille/Heilpraktiker, Auslandsreise-Krankenversicherung, Pflegepflichtversicherung, Wechsel-Szenarien zurück in GKV, GSAP Comparison Animations - USE CASE: Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung",
            "overview": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-024",
            "title": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden",
            "prompt_number": 24,
            "prompt": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassische Rentenversicherung vs Fondsgebundene Comparison, Garantiezins Impact 0.25% aktuell, Überschussbeteiligung Historical, Fondspolice Performance-Szenarien 4%/6%/8% (ApexCharts), Kosten-Transparenz Effektivkosten, Ablaufleistung Calculator, Lebenslange Rente vs Kapital-Option, Dynamik-Option bei Rentenpolicen, Hinterbliebenenschutz Rentengarantiezeit, Berufsunfähigkeits-Zusatzversicherung in Police, Steuerliche Behandlung Ertragsanteil, Riester/Rürup Integration möglich, GSAP Renten-Animations - USE CASE: Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz",
            "overview": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-025",
            "title": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool",
            "prompt_number": 25,
            "prompt": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rechtsschutz-Bereiche Checker Privat/Beruf/Verkehr/Wohnen/Steuer, Risiko-Assessment nach Lebenssituation (D3.js Risk Matrix), Selbstbeteiligung-Optimizer 150€ bis 500€, Deckungssummen-Empfehlung, Wartezeit-Erklärer 3 Monate, Leistungsausschlüsse Visualizer, Mediation-Option, Strafrechtsschutz Verkehr, Arbeitsrechtsschutz Kündigung, Mietrechtsschutz Vermieter/Mieter, Steuerrechtsschutz Finanzamt, Familienrechtsschutz, GSAP Rechtsbereich Animations - USE CASE: Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang",
            "overview": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-026",
            "title": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung",
            "prompt_number": 26,
            "prompt": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Hausrat-Wert-Ermittlung Pauschal 650€/m², Einzelbewertung Möbel/Elektronik/Schmuck/Kunst, Unterversicherung-Risiko Visualizer (ApexCharts Gauge), Versicherungssummen-Empfehlung, Wertsachen-Grenze 20% Standard, Fahrrad-Diebstahl Nachts draußen, Elementarschaden-Zusatz Hochwasser/Starkregen, Glasbruch-Versicherung, Grobe Fahrlässigkeit Mitversichert, Neuwert vs Zeitwert Erstattung, Hausrat im Ausland Urlaub, Prämien-Vergleich verschiedene Summen, GSAP Value Counter Animations - USE CASE: Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme",
            "overview": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-027",
            "title": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich",
            "prompt_number": 27,
            "prompt": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadenfreiheitsklasse-Tracker SF 0 bis SF 35, Selbstbeteiligung-Optimizer Vollkasko/Teilkasko (ApexCharts Break-Even), Rabatt-Maximizer Garage/Wenigfahrer/Partner, Schadenfreiheitsrabatt-Retter bei Schaden, Typklasse & Regionalklasse Info, Neuwert-Entschädigung GAP-Versicherung, Werkstattbindung Rabatt vs Flexibilität, Mallorca-Police Ausland, Fahrerschutz-Versicherung, Telematik-Tarife Score-Based, Versicherungswechsel-Timing Stichtag 30.11., Prämien-Entwicklung Projection (D3.js), GSAP Car Animations - USE CASE: Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl",
            "overview": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-028",
            "title": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten",
            "prompt_number": 28,
            "prompt": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflegegrad-Erklärer 1 bis 5, Pflegekosten-Rechner Heim vs Ambulant (ApexCharts Stacked Bar), Pflegelücke gesetzlich vs privat, Tagegeld-Bedarfsermittlung, Pflege-Bahr geförderte Versicherung, Dynamik-Option Leistungsanpassung, Wartezeit 5 Jahre Standard, Leistung bei Demenz, Assistance-Leistungen Organisation, Einmalzahlung bei Pflegefall, Pflege-Rente lebenslang, Angehörigen-Pflege Unterstützung, GSAP Pflege-Level Animations - USE CASE: Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt",
            "overview": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-029",
            "title": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool",
            "prompt_number": 29,
            "prompt": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Laddering Strategy Builder 3-5 Policen (D3.js Timeline), Bedarf-Reduktion über Zeit Hypothek abbezahlt/Kinder erwachsen, Premium-Optimizer gestaffelte Laufzeiten billiger, Coverage Amount pro Stufe Calculator, Term Length Optimizer 10/15/20/25/30 Jahre, Gesamt-Prämie Laddering vs Single Policy (ApexCharts), Return of Premium Option Kosten, Convertibility Option zu Whole Life, Contestability Period 2 Jahre, Suicide Clause, Medical Exam vs No-Exam Policies, Laddering Visualization interactive (D3.js), GSAP Ladder Animations - USE CASE: Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung",
            "overview": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-030",
            "title": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht",
            "prompt_number": 30,
            "prompt": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Versicherungen Übersicht Leben/BU/Kranken/Haftpflicht/Hausrat/Kfz/Rechtsschutz, Prämien-Summe monatlich/jährlich (ApexCharts Pie Chart Anteil), Coverage Gaps Identifier Unterversicherung, Overlap Detector Doppelversicherung, Versicherungs-Optimierungspotenzial, Policen-Ablauf Kalender wichtige Termine, Schadenfall-Melde-Assistent, Vertrags-Dokumente Vault, Beneficiary Management Begünstigte, Insurance Score Gesamtbewertung, Cost-Benefit Ratio Calculator, Versicherungs-Checkliste Lebensphase, GSAP Portfolio Animations - USE CASE: Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten ## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG",
            "overview": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten ## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-031",
            "title": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced",
            "prompt_number": 31,
            "prompt": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Annuitäten-Darlehen Calculator Zinssatz/Tilgung/Laufzeit, Tilgungsplan-Visualizer 30 Jahre Monat für Monat (D3.js), Forward-Darlehen Planer Zinsbindung 5/10/15/20 Jahre, Sondertilgungs-Impact Simulator jährlich 5%, Anschlussfinanzierungs-Rechner nach Zinsbindung, Eigenkapital-Optimizer 10% bis 30%, Nebenkosten-Rechner Notar/Grunderwerbsteuer/Makler, Haushaltsrechnung Belastungsgrenze 40% Netto, Förderkredit KfW-Darlehen Integration, Kaufpreis vs Miete Comparison 30 Jahre (ApexCharts), Wertsteigerung Immobilie Projection, GSAP Loan Amortization Animations - USE CASE: Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent",
            "overview": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-032",
            "title": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let",
            "prompt_number": 32,
            "prompt": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Mietrendite Calculator Jahresnettokaltmiete/Kaufpreis, Netto-Mietrendite nach Kosten Hausgeld/Instandhaltung/Verwaltung, Eigenkapitalrendite mit Fremdfinanzierung Leverage, Cashflow-Rechner monatlich (ApexCharts Waterfall), Cap Rate Calculator, Cash-on-Cash Return, Loan-to-Value Ratio, Vacancy Rate Impact 5-10%, Property Management Kosten, Maintenance Reserve 1% Kaufpreis jährlich, Property Tax Grundsteuer, Rental Income Growth 2% jährlich, GSAP Rendite Animations - USE CASE: Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten",
            "overview": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-033",
            "title": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert",
            "prompt_number": 33,
            "prompt": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichswertverfahren Rechner ähnliche Objekte, Ertragswertverfahren Vermietete Objekte Kapitalisierung, Sachwertverfahren Substanzwert, Lage-Bewertungs-Matrix Mikro/Makro-Lage (D3.js Heatmap), Ausstattungs-Score Standard/Gehoben/Luxus, Zustand-Bewertung Modernisierungsbedarf, Grundstücks-Bewertung Bodenrichtwert, Marktwert-Ermittlung nach WertV, Verkehrswert-Gutachten Simulator, Wertsteigerungspotenzial Prognose, Objektvergleich Side-by-Side bis 5 Immobilien, GSAP Valuation Animations - USE CASE: Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert",
            "overview": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-034",
            "title": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung",
            "prompt_number": 34,
            "prompt": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zinsbindungs-Strategie Chooser 5/10/15/20/25/30 Jahre, Variable vs Fixed Rate Comparison, Split-Strategie 50% fix + 50% variabel, Forward-Darlehen Timing Optimizer, Zinsentwicklungs-Szenarien steigend/fallend/konstant (ApexCharts), Restschuld-Entwicklung verschiedene Strategien (D3.js Multi-Line), Sondertilgungs-Rechte 5-10% jährlich, Volltilger-Darlehen Laufzeit-Reduktion, KfW-Förderkredite kombinieren, Bereitstellungszins-Vermeidung, Vorfälligkeitsentschädigung Calculator bei Kündigung, GSAP Strategy Comparison Animations - USE CASE: Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz",
            "overview": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-035",
            "title": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI",
            "prompt_number": 35,
            "prompt": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: ROI Calculator Return on Investment Total, IRR Internal Rate of Return Calculation, NPV Net Present Value Discounted Cashflows, Payback Period Calculator, Equity Multiple Rechner, Total Return inkl. Wertsteigerung + Cashflow (ApexCharts), Tax Benefits Abschreibung AfA 2-3% jährlich, Leverage Impact 80% Fremdfinanzierung, Exit Strategy Analyzer Verkauf nach 10/15/20 Jahren, Market Appreciation verschiedene Szenarien 2-5%, Inflation Impact Real Returns, Opportunity Cost vs Aktien ETF Comparison, GSAP ROI Animations - USE CASE: Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits",
            "overview": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-036",
            "title": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator",
            "prompt_number": 36,
            "prompt": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kaufen vs Mieten 30-Jahre-Vergleich Total Cost (ApexCharts Line Chart), Opportunity Cost Calculator Eigenkapital in ETF investiert, Maintenance Cost Eigenheim 1% jährlich, Property Tax vs keine bei Miete, Transaction Costs Kauf/Verkauf Notar/Makler, Mobility Flexibility Score Miete höher, Forced Savings Eigenheim, Leverage Benefit Eigenkapital-Rendite, Home Equity Build-up (D3.js Area Chart), Rent vs Buy Break-Even Point, Market Scenarios Immobilienpreise steigen/fallen, Emotional Benefits Eigenheim, GSAP Comparison Animations - USE CASE: Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete",
            "overview": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-037",
            "title": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten",
            "prompt_number": 37,
            "prompt": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundstückskosten Budget, Baukosten Quadratmeterpreis 1500-3000€, Baunebenkosten 15-20% Architekt/Statiker/Bauantrag, Außenanlagen Garten/Einfahrt/Zaun, Eigenleistung-Kalkulator Muskelhypothek, Kostenpuffer 10-15% Unvorhergesehenes, Finanzierungskosten während Bauphase Bereitstellungszins, Förderung KfW 40/40+ Zuschüsse, Bauzeit-Planer Monate bis Fertigstellung (D3.js Gantt Chart), Zahlungsplan nach Baufortschritt, Abnahme-Kosten Gutachter, Innenausstattung Küche/Bäder, GSAP Budget Build-up Animations - USE CASE: Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung",
            "overview": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-038",
            "title": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property",
            "prompt_number": 38,
            "prompt": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Property Dashboard alle Immobilien (D3.js Map Locations), Portfolio Performance ROI/Cashflow gesamt, Loan-to-Value Ratio Portfolio, Diversifikation Score Geographic/Property Type, Total Equity Build-up alle Properties, Vacancy Rates Tracking, Maintenance Issues Tracker, Tenant Management pro Property, Rental Income Streams (ApexCharts Stacked Area), Property Appreciation Timeline, Debt Service Coverage Ratio, Portfolio Rebalancing Recommendations Verkauf/Kauf, GSAP Multi-Property Animations - USE CASE: Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral",
            "overview": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-039",
            "title": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung",
            "prompt_number": 39,
            "prompt": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Renovierungs-Maßnahmen ROI Küche/Bad/Dach/Fenster/Heizung, Cost vs Value Report verschiedene Projekte (ApexCharts Bar Chart), Wertsteigerung Percentage pro Maßnahme, Energy Efficiency Upgrades KfW-Förderung, Curb Appeal Projects Vorgarten/Fassade, Kitchen Remodel ROI 60-80%, Bathroom Remodel ROI 50-70%, Roof Replacement ROI, HVAC System Upgrade, Window Replacement Energy Savings, Prioritization Matrix Impact vs Cost (D3.js Scatter), Financing Options Modernisierungskredit, GSAP Renovation Animations - USE CASE: Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI",
            "overview": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-040",
            "title": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer",
            "prompt_number": 40,
            "prompt": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Refinancing Calculator neuer Zins vs aktuell, Break-Even Point Refinanzierung-Kosten vs Savings (ApexCharts), Vorfälligkeitsentschädigung Calculator bei vorzeitiger Ablösung, Cash-Out Refinancing Option Equity herausnehmen, Rate-and-Term Refinancing, Interest-Only to Principal-Interest Switch, ARM to Fixed Rate Conversion, Loan Term Reduction 30 zu 15 Jahre, Closing Costs Estimate Notar/Grundbuch, Monthly Payment Reduction (D3.js Comparison), Lifetime Interest Savings, Market Timing Zinsentwicklung, GSAP Refinancing Animations - USE CASE: Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung ## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM",
            "overview": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung ## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-041",
            "title": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management",
            "prompt_number": 41,
            "prompt": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kunden-Datenbank sortable/filterable/searchable, Contact Management Telefon/Email/Adresse, Kundenlebenszyklus-Status Interessent/Neukunde/Bestandskunde/Inaktiv (D3.js Funnel), Produktbesitz-Matrix Kunde x Produkte, Cross-Sell Opportunities Identifier, Nächste Kontakt-Termine Kalender, Geburtstags-Reminder, Vertragsablauf-Alerts, Notes & Communication History, Customer Lifetime Value Berechnung, Kundensegmentierung ABC-Analyse, Referral Tracking Empfehlungen, GSAP CRM Animations - USE CASE: DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up",
            "overview": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-042",
            "title": "entwickle einen DVAG Provisions-Tracker mit Forecasting",
            "prompt_number": 42,
            "prompt": "entwickle einen DVAG Provisions-Tracker mit Forecasting - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Provisions-Dashboard monatlich/quartalsweise/jährlich (ApexCharts Column Chart), Produktarten-Mix Lebensversicherung/BU/Fonds/Immobilien, Bestands-Provisionen vs Abschluss-Provisionen, Provisions-Forecast basierend auf Pipeline, Commission Structure Visualizer Staffelung nach Volumen, YTD Year-to-Date Tracking, Quota Attainment Prozent vom Ziel, Leaderboard Ranking im Team, Top Producers Analyse, Revenue per Client Calculation, Churn Rate Impact auf Bestandsprovisionen, Seasonal Patterns Heatmap (D3.js), GSAP Commission Counter Animations - USE CASE: DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix",
            "overview": "entwickle einen DVAG Provisions-Tracker mit Forecasting",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-043",
            "title": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling",
            "prompt_number": 43,
            "prompt": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kalender-Ansicht Tag/Woche/Monat, Termin-Buchung mit Kundenauswahl, Termin-Typen Erstgespräch/Beratung/Jahresgespräch/Vertragsabschluss, Zeitslot-Blocker für Admin-Zeit, Erinnerungs-System 24h/1h vor Termin, No-Show Tracking, Doppelbuchung-Prevention, Travel Time Calculator zwischen Terminen, Kundenwunsch-Zeitfenster, Meeting Notes Attachment, Follow-up Task Creation nach Termin, Google Calendar Sync Mock, GSAP Calendar Animations - USE CASE: DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung",
            "overview": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-044",
            "title": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter",
            "prompt_number": 44,
            "prompt": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sales Funnel Visualizer Leads/Qualifiziert/Proposal/Negotiation/Closed (D3.js Funnel Chart), Conversion Rates pro Stage, Deal Value in Pipeline Total, Weighted Pipeline Wahrscheinlichkeit × Wert, Average Sales Cycle Tage von Lead zu Close, Win Rate Calculator Abschlussquote, Lead Source Tracking Empfehlung/Kaltakquise/Event/Online, Pipeline Velocity wie schnell Deals durchlaufen, Lost Reasons Analysis warum verloren, Sales Activities Calls/Meetings/Proposals, Top Deals highlighting, Pipeline Health Score, GSAP Funnel Animations - USE CASE: DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline",
            "overview": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-045",
            "title": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage",
            "prompt_number": 45,
            "prompt": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dokumenten-Upload Verträge/Ausweise/Einkommensnachweise, Dokumenten-Kategorisierung Versicherung/Investment/Steuer/Immobilien, Verschlüsselung Mock Sicherheit, Versions-Kontrolle Dokumente, Ablaufdatum-Tracking Ausweisdokumente, OCR Mock Text-Extraktion, Volltextsuche in Dokumenten, Sharing-Links zeitlich begrenzt, Audit Trail wer hat wann zugegriffen, Storage Quota Visualizer (ApexCharts Gauge), Backup & Export Funktion, Compliance DSGVO-konform, GSAP Document Upload Animations - USE CASE: DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen",
            "overview": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-046",
            "title": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel",
            "prompt_number": 46,
            "prompt": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Communication Timeline alle Touchpoints Telefon/Email/SMS/WhatsApp/persönlich (D3.js Timeline), Kontakt-Frequenz Tracking, Last Contact Date Reminder, Communication Preferences Kunde bevorzugt Email/Telefon, Email Template Library, SMS Bulk-Versand Geburtstage, WhatsApp Business Integration Mock, Call Notes pro Gespräch, Email Open/Click Tracking Mock, Response Time Analyzer, Follow-up Reminder Engine, Communication Volume Heatmap (D3.js), GSAP Message Animations - USE CASE: DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle",
            "overview": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-047",
            "title": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance",
            "prompt_number": 47,
            "prompt": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Beratungsprotokoll-Generator nach §34f GewO, Compliance-Checkliste alle Pflichtangaben, Risikoklassen-Ermittlung Kunde, Geeignetheits-Prüfung Produkt vs Kunde Match, Beratungsnachweis-PDF automatisch, Dokumentationspflicht-Erfüller, Haftungsrisiko-Minimizer, Widerrufsbelehrung Generator, Produktinformationsblatt Attachment, Vergütung-Offenlegung Pflicht, Beratungsfehler-Vermeidung, Quality Score pro Beratung (ApexCharts Radar), GSAP Compliance Animations - USE CASE: DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation",
            "overview": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-048",
            "title": "baue ein DVAG Berater-Performance-Dashboard Analytics",
            "prompt_number": 48,
            "prompt": "baue ein DVAG Berater-Performance-Dashboard Analytics - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Dashboard Abschlüsse/Umsatz/Neukundenrate/Cross-Sell-Quote, Monatliche Performance Trends (ApexCharts Line Charts), Ziel vs Ist Comparison, Product Mix Analysis Diversifikation, Customer Acquisition Cost Calculator, Customer Lifetime Value, Retention Rate Bestandskunden, Referral Rate Empfehlungsquote, Activities Metrics Calls/Meetings/Proposals pro Woche, Time Management Analyse produktive vs administrative Zeit, Peer Comparison anonymisiert, Growth Rate YoY Year-over-Year, GSAP KPI Counter Animations - USE CASE: DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance",
            "overview": "baue ein DVAG Berater-Performance-Dashboard Analytics",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-049",
            "title": "erstelle ein DVAG Lead-Scoring-System Priorisierung",
            "prompt_number": 49,
            "prompt": "erstelle ein DVAG Lead-Scoring-System Priorisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead Scoring Model demografisch/verhaltensbezogen/firmografisch, Score Calculation 0-100 Punkte, Lead Grade A/B/C/D basierend auf Score (D3.js Scatter Plot Score vs Engagement), Behavioral Signals Website-Besuche/Email-Opens/Content-Downloads, Demographic Factors Alter/Einkommen/Familie, Firmographic Factors Branche/Unternehmensgröße bei B2B, Engagement Level Interaktionen, Buying Intent Signals, Negative Scoring Disqualifiers, Lead Source Quality Rating, Automated Lead Assignment basierend auf Score, Lead Nurturing Recommendations, GSAP Lead Score Animations - USE CASE: DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads",
            "overview": "erstelle ein DVAG Lead-Scoring-System Priorisierung",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-050",
            "title": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training",
            "prompt_number": 50,
            "prompt": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainings-Fortschritt Dashboard alle Kurse, Skill-Bewertung Radar Chart (ApexCharts) Produkte/Compliance/Sales/Soft Skills, Zertifikate Tracker IHK/Sachkundenachweise, Weiterbildungs-Pflicht 15h jährlich, Learning Path Visualizer vom Einstieg zum Senior Berater (D3.js Tree), Quiz-Scores Wissensüberprüfung, Video-Trainings Completed, Peer Learning Studiengruppen, Mentorship Program Match, Career Progression Timeline, Next Certification Reminder, CPE Continuing Professional Education Tracker, GSAP Learning Animations - USE CASE: DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team ## Kategorie 6: STEUER & RECHT TOOLS",
            "overview": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team ## Kategorie 6: STEUER & RECHT TOOLS",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-051",
            "title": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert",
            "prompt_number": 51,
            "prompt": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Netto-Rechner Lohnsteuer/Soli/Kirchensteuer, Steuerklassen 1-6 Auswahl, Progressionsvorbehalt Visualizer (ApexCharts Stacked Area), Grenzsteuersatz vs Durchschnittssteuersatz, Kalte Progression Impact Inflation, Abzugsfähige Kosten Werbungskosten/Sonderausgaben/außergewöhnliche Belastungen, Steuerfreibeträge Grundfreibetrag/Kinderfreibetrag/Sparerpauschbetrag, Solidaritätszuschlag 5.5% ab 2021 Grenze, Kirchensteuer 8-9% je Bundesland, Steuererstattung Calculator, Jahressteuererklärung Simulator, Tax Bracket Visualizer (D3.js), GSAP Tax Calculation Animations - USE CASE: Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge",
            "overview": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-052",
            "title": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer",
            "prompt_number": 52,
            "prompt": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Abgeltungsteuer 25% + Soli 5.5% = 26.375%, Sparerpauschbetrag 1000€ Single / 2000€ Married, Freistellungsauftrag Manager mehrere Banken, Günstigerprüfung wenn persönlicher Steuersatz < 25%, Teilfreistellung Aktienfonds 30% / Mischfonds 15% / Immobilienfonds 60%, Kirchensteuer auf Kapitalerträge, Quellensteuer Ausland anrechenbar, Verlustverrechnung Aktien/Sonstige, Verlustverrechnungstopf Carry-Forward, Zinsen/Dividenden/Kursgewinne separate Töpfe, Tax-Loss Harvesting Strategie, Steueroptimierung Thesaurierend vs Ausschüttend ETF (ApexCharts), GSAP Tax Optimization Animations - USE CASE: Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal",
            "overview": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-053",
            "title": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge",
            "prompt_number": 53,
            "prompt": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbschaftsteuer-Calculator nach Verwandtschaftsgrad, Freibeträge Ehepartner 500k / Kinder 400k / Enkel 200k / Geschwister 20k, Steuerklassen I/II/III unterschiedliche Sätze (ApexCharts Bar Chart), Stufentarif 7% bis 50%, Selbstgenutzte Immobilie steuerfrei Ehepartner/Kinder unter Bedingungen, 10-Jahres-Regel mehrfache Schenkungen, Nießbrauch-Rechner Wert-Minderung, Kettenschenkung Optimierung Eltern→Kinder→Enkel, Berliner Testament Steuernachteil, Günstigere Varianten Vermögen verteilen, Erbschaftsteuer-Optimierungs-Strategien (D3.js Flow), GSAP Inheritance Animations - USE CASE: Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung",
            "overview": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-054",
            "title": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie",
            "prompt_number": 54,
            "prompt": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schenkungsteuer identisch mit Erbschaftsteuer Freibeträge/Sätze, 10-Jahres-Frist-Tracker Freibeträge alle 10 Jahre erneut, Schenkungsplan-Optimizer Vermögensübertragung über 30 Jahre (D3.js Timeline), Kettenschenkung Eltern→Kinder→Enkel doppelte Freibeträge, Nießbrauch-Vorbehalt Schenkung mit Nutzungsrecht, Wohnrecht-Eintragung Immobilienschenkung, Rückforderungsvorbehalt wenn Beschenkter vorverstirbt, Schenkung unter Auflage Pflege im Alter, Gemischte Schenkung Teil entgeltlich, Taggenaue Berechnung 10-Jahres-Frist, Steuerersparnis-Visualizer Schenkung vs Erbe (ApexCharts), GSAP Gift Planning Animations - USE CASE: Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie",
            "overview": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-055",
            "title": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL",
            "prompt_number": 55,
            "prompt": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: VL-Betrag Arbeitgeber max 40€/Monat, Arbeitnehmersparzulage 20% auf Aktien-VL (max 400€ VL → 80€ Zulage), Einkommensgrenzen Ledige 40.000€ / Verheiratete 80.000€, VL-Anlagemöglichkeiten Bausparvertrag/Aktien-Fondssparplan/Banksparplan, Sperrfrist 7 Jahre, VL-Fondssparplan Rendite-Projektion (ApexCharts Line Chart), Arbeitgeberzuschuss + Sparzulage + Rendite = Total Benefit, VL vs selbst sparen Comparison, Steuerfreie Einzahlung des Arbeitgebers, Zulageantrag automatisch vs manuell, VL-Rechner verschiedene Szenarien (D3.js), GSAP VL Animations - USE CASE: Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat",
            "overview": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-056",
            "title": "entwickle einen DVAG Riester-Renten-Rechner Förderquote",
            "prompt_number": 56,
            "prompt": "entwickle einen DVAG Riester-Renten-Rechner Förderquote - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Riester-Zulagen Grundzulage 175€/Jahr + Kinderzulage 300€/Kind, Mindesteigenbeitrag 4% Bruttoeinkommen minus Zulagen, Sockelbeitrag 60€/Jahr Minimum, Steuerliche Förderung Sonderausgabenabzug max 2100€, Günstigerprüfung Zulage vs Steuervorteil, Förderquote Calculator Zulagen/Eigenbeitrag, Riester-Produktvergleich Versicherung/Fondssparplan/Banksparplan/Wohn-Riester, Zulagenantrag Permanent-Zulagenantrag, Schädliche Verwendung Auszahlung vor Rente, Nachgelagerte Besteuerung Rentenbezug, Riester vs ETF-Sparplan Vergleich (ApexCharts), GSAP Riester Animations - USE CASE: Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen",
            "overview": "entwickle einen DVAG Riester-Renten-Rechner Förderquote",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-057",
            "title": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige",
            "prompt_number": 57,
            "prompt": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rürup-Basisrente für Selbständige/Freiberufler, Steuerliche Absetzbarkeit 2024: 100% von max 27.566€ (Ledige) / 55.132€ (Verheiratete), Steuervorteil-Rechner nach persönlichem Steuersatz, Nachgelagerte Besteuerung in Rente, Rürup vs private Altersvorsorge Vergleich (ApexCharts), Kapitalwahlrecht nicht möglich nur lebenslange Rente, Hartz-IV-sicher Pfändungsschutz, Vererbung nicht möglich außer Hinterbliebenenrente, Zusatzbausteine BU/Hinterbliebenenabsicherung, Rürup-Produktvergleich Versicherung vs Fondssparplan, Rendite-Projektion (D3.js), GSAP Rürup Animations - USE CASE: Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis",
            "overview": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-058",
            "title": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV",
            "prompt_number": 58,
            "prompt": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: bAV-Durchführungswege Direktversicherung/Pensionskasse/Pensionsfonds/Direktzusage/Unterstützungskasse, Entgeltumwandlung Brutto zu bAV Steuer- und Sozialversicherungsfrei, Fördergrenze 2024: 8% BBG = 7.248€ sv-frei / 4% BBG darüber hinaus steuerfrei, Arbeitgeberzuschuss Pflicht 15% bei Sozialversicherungsersparnis, Steuerersparnis durch Bruttoumwandlung (ApexCharts Waterfall), Nachgelagerte Besteuerung + Krankenversicherung in Rente, Portabilität bei Arbeitgeberwechsel, Riester-Förderung zusätzlich möglich, bAV vs private Altersvorsorge Comparison, Unverfallbarkeit nach 3 Jahren, GSAP bAV Animations - USE CASE: Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung",
            "overview": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-059",
            "title": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung",
            "prompt_number": 59,
            "prompt": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Jahresendrallye Steueroptimierung November/Dezember, Sonderausgaben vorziehen Versicherungen/Spenden/Riester, Werbungskosten maximieren Arbeitszimmer/Fortbildung/Fachliteratur, Außergewöhnliche Belastungen Krankheitskosten/Pflegekosten, Handwerkerleistungen 20% abzugsfähig max 1200€, Haushaltsnahe Dienstleistungen 20% max 4000€, Verlustverrechnung realisieren Tax-Loss Harvesting, Abschreibungen Immobilien AfA, Investitionsabzugsbetrag Selbständige, Sonderabschreibung degressive AfA, Steueroptimierungs-Checkliste (D3.js Flow Diagram), Steuerersparnis-Potential Calculator (ApexCharts), GSAP Year-End Planning Animations - USE CASE: Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung",
            "overview": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-060",
            "title": "entwickle einen DVAG Steuererklärung-Assistent Deutschland",
            "prompt_number": 60,
            "prompt": "entwickle einen DVAG Steuererklärung-Assistent Deutschland - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Steuererklärung-Wizard Schritt-für-Schritt, Anlage N Einkünfte nichtselbständige Arbeit, Anlage KAP Kapitaleinkünfte, Anlage V Vermietung Verpachtung, Anlage AV Altersvorsorge Riester/Rürup, Werbungskosten-Pauschalen vs Einzelnachweis, Entfernungspauschale 30 Cent/km, Arbeitszimmer-Rechner, Verpflegungsmehraufwand Dienstreisen, Doppelte Haushaltsführung, Fortbildungskosten, Steuererstattung-Prognose (ApexCharts Gauge), ELSTER Mock-Export, Abgabefrist-Reminder 31.7., GSAP Form Fill Animations - USE CASE: Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung ## Kategorie 7: ALTERSVORSORGE & RENTE",
            "overview": "entwickle einen DVAG Steuererklärung-Assistent Deutschland",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung ## Kategorie 7: ALTERSVORSORGE & RENTE",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-061",
            "title": "erstelle ein DVAG Rentenlücken-Rechner Deutschland",
            "prompt_number": 61,
            "prompt": "erstelle ein DVAG Rentenlücken-Rechner Deutschland - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesetzliche Rente Estimator basierend auf Entgeltpunkten, Rentenniveau aktuell 48% sinkt auf 43%, Versorgungslücke Current Lifestyle vs Gesetzliche Rente (ApexCharts Gap Chart), 3-Schichten-System gesetzlich/betrieblich/privat Visualizer (D3.js Stacked Area), Inflationsbereinigung Kaufkraft im Alter, Lebenserwartung Calculator Durchschnitt + 10 Jahre Sicherheit, Zusätzlicher Kapitalbedarf bis Lebensende, Sparrate-Berechnung um Lücke zu schließen, Rentenbeginn-Optimizer 63/65/67/70 Jahre Abschläge/Zuschläge, Teilrente in Kombi mit Teilzeit, Steuer auf Rente Ertragsanteil 2040: 100%, GSAP Gap Visualization Animations - USE CASE: Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar",
            "overview": "erstelle ein DVAG Rentenlücken-Rechner Deutschland",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-062",
            "title": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt",
            "prompt_number": 62,
            "prompt": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schicht 1 Basisversorgung Gesetzliche Rente/Rürup, Schicht 2 Zusatzversorgung bAV/Riester, Schicht 3 Kapitalanlage private Renten/ETF/Immobilien, Gesamtrenten-Projektion alle Schichten (ApexCharts Stacked Column), Optimale Schichtung nach Steuersituation, Schicht-Priorisierung für verschiedene Berufsgruppen Angestellt/Beamte/Selbständig, Tax Treatment jeder Schicht in Anspar & Auszahlphase, Flexibilität Score Verfügbarkeit Kapital, Förderquoten-Vergleich Riester/Rürup/bAV, Diversifikation über Schichten (D3.js Sankey Flow), Asset Allocation Altersvorsorge, GSAP 3-Layer Animations - USE CASE: Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix",
            "overview": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-063",
            "title": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge",
            "prompt_number": 63,
            "prompt": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelaltersgrenze nach Geburtsjahrgang 65-67 Jahre, Früherer Rentenbeginn ab 63 mit Abschlägen 0.3% pro Monat, Rente mit 63 nach 45 Beitragsjahren ohne Abschlag, Späterer Rentenbeginn Zuschläge 0.5% pro Monat, Break-Even Analyse früh vs spät (ApexCharts Line Chart Crossover), Lebenserwartung Impact auf Break-Even, Gesundheitszustand-Faktor, Weiterarbeiten-Rentability neben Teilrente, Hinzuverdienst-Grenzen vor Regelaltersgrenze, Rentenbesteuerung unterschiedlich je Eintrittsalter, Optimaler Rentenbeginn Calculator (D3.js Decision Tree), GSAP Retirement Age Animations - USE CASE: Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit",
            "overview": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-064",
            "title": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal",
            "prompt_number": 64,
            "prompt": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 4% Rule Calculator Trinity Study, Variable Withdrawal Strategies Guyton-Klinger, Dynamic Spending Adjustments Market-Based, Withdrawal Rate Simulator 3%/4%/5% (ApexCharts Monte Carlo), Portfolio Longevity bis 95/100 Jahre, Sequence of Returns Risk Visualizer frühe Bear Markets (D3.js), Inflation-Adjusted Withdrawals 2-3%, Tax-Efficient Withdrawal Order Taxable/Tax-Deferred/Tax-Free, Required Minimum Distributions RMDs ab 73 Jahre, Social Security Timing Integration, Bucket Strategy Cash/Bonds/Stocks, Failure Rate Probability Portfolio Depletion, GSAP Withdrawal Animations - USE CASE: Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung",
            "overview": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-065",
            "title": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert",
            "prompt_number": 65,
            "prompt": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entgeltpunkte-Berechnung Brutto/Durchschnitt, Rentenwert aktuell 39.32€ (West) / 39.32€ (Ost) seit 2024, Rentenformel Entgeltpunkte × Zugangsfaktor × Rentenartfaktor × Rentenwert, Versicherungsverlauf Simulation Jahre, Durchschnittsentwicklung Gehälter, Rentenhöhe-Projektion (ApexCharts Column Chart), Rentenanpassung 1-2% jährlich, Mütterrente Kindererziehungszeiten, Erwerbsminderungsrente, Hinterbliebenenrente Witwen/Waisen, Rentenauskunft Checker, Deutsche Rentenversicherung Info-Integration, GSAP Pension Calculation Animations - USE CASE: Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt",
            "overview": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-066",
            "title": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit",
            "prompt_number": 66,
            "prompt": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Altersvorsorge-Produkte Matrix ETF/Riester/Rürup/bAV/private Rente/Immobilien, Rendite vs Sicherheit Scatter Plot (D3.js), Liquidität vs Rendite Trade-Off, Steuerliche Förderung Ranking, Kosten-Transparenz TER/Effektivkosten, Flexibilität Score Verfügbarkeit, Diversifikation über Produkttypen, Alters-Glide-Path 100-Alter Aktienquote, Rebalancing verschiedene Produkte, Risk-Adjusted Return Sharpe Ratio, Altersvorsorge-Empfehlung basierend auf Profil (ApexCharts Radar), GSAP Product Mix Animations - USE CASE: Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen",
            "overview": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-067",
            "title": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International",
            "prompt_number": 67,
            "prompt": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sozialversicherungsabkommen Deutschland mit Ländern, Rentenansprüche mehrere Länder kombinieren, EU-Koordinierung Rentenansprüche, Pension Totalization Agreements USA/Canada/Australia, Versorgungslücke bei Auslandsaufenthalten, Private International Pension Solutions, Currency Risk Renten in anderer Währung, Tax Treatment Cross-Border Pensions DBA Doppelbesteuerungsabkommen, Gesetzliche Rente Export-Fähigkeit, Expat Retirement Strategies, Ländervergleich Rentensysteme (D3.js World Map), GSAP International Pension Animations - USE CASE: Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung",
            "overview": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-068",
            "title": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil",
            "prompt_number": 68,
            "prompt": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentenbesteuerung Gesetzliche Rente Besteuerungsanteil 2024: 83% steigt auf 100% bis 2040, Rentenfreibetrag einmalige Festsetzung bei Rentenbeginn, Altersentlastungsbetrag für andere Einkünfte im Alter, Grundfreibetrag 2024: 11.604€, Krankenversicherung Rentner KVdR, Pflegeversicherung Rentner, Steuerpflicht-Checker Rente über Grundfreibetrag, Private Rentenversicherung Ertragsanteilsbesteuerung je nach Rentenbeginn-Alter, Riester-Rente nachgelagerte Vollversteuerung, Rürup-Rente nachgelagerte Vollversteuerung, Nettorentenrechner nach Steuern (ApexCharts Waterfall), GSAP Tax on Pension Animations - USE CASE: Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen",
            "overview": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-069",
            "title": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland",
            "prompt_number": 69,
            "prompt": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundsicherung im Alter Bedarf 2024 ca. 950€/Monat, Altersarmut-Schwelle 60% Median-Einkommen, Risikogruppen Mini-Jobber/Selbständige ohne Altersvorsorge/Alleinerziehende/Langzeitarbeitslose, Erwerbsbiografie-Lücken Impact, Teilzeit-Arbeit Rentenauswirkungen, Gender Pension Gap Frauen, Scheidung Impact Versorgungsausgleich, Gesundheitskosten im Alter, Pflegekosten-Risiko, Altersarmut-Wahrscheinlichkeit Calculator (ApexCharts Gauge), Präventions-Maßnahmen Altersvorsorge aufbauen, GSAP Poverty Risk Animations - USE CASE: Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen",
            "overview": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-070",
            "title": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare",
            "prompt_number": 70,
            "prompt": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentensplitting unter Ehegatten, Versorgungsausgleich bei Scheidung, Partner-Rente Hinterbliebenenversorgung, Witwenrente 55%/60% der Rente des Verstorbenen, Eigene Rente angerechnet auf Witwenrente, Freibetrag Witwenrente, Große vs Kleine Witwenrente, Rentenkürzung bei Wiederheirat, Splitting vs Witwenrente Comparison (ApexCharts), Erziehungszeiten Anrechnung, Rentenoptimierung Ehepaare Einzeln vs Gesamt, Tax Optimization Ehegatten-Splitting, GSAP Couple Pension Animations - USE CASE: Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien ## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "overview": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien ## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-071",
            "title": "erstelle ein DVAG Konzern-Performance-Dashboard Executive",
            "prompt_number": 71,
            "prompt": "erstelle ein DVAG Konzern-Performance-Dashboard Executive - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Overview Umsatz/Neugeschäft/Bestand/Mitarbeiter, Regional Performance Deutschland-Karte (D3.js Geo Choropleth), Top Regions Ranking, Produktmix-Analyse Leben/BU/Fonds/Immobilien (ApexCharts Stacked Column), YoY Growth Rate Year-over-Year, Monthly Trends Charts, Berater-Produktivität Durchschnitt, Customer Acquisition Cost, Customer Lifetime Value, Churn Rate Bestandskunden, Market Share Visualizer, Strategic Goals vs Actuals (D3.js Bullet Charts), GSAP Executive Dashboard Animations - USE CASE: DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance",
            "overview": "erstelle ein DVAG Konzern-Performance-Dashboard Executive",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-072",
            "title": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen",
            "prompt_number": 72,
            "prompt": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertriebs-Organisationen Hierarchie Visualizer (D3.js Org Chart), Team-Leaderboard Top Performers, Individual Performance Scorecards, Sales Targets vs Actuals, Commission Tracking pro Berater, Activity Metrics Calls/Meetings/Proposals, Conversion Rates Funnel, Cross-Sell Ratio, Retention Rate Team, Recruiting Success neue Berater, Training Completion Rate, Performance Distribution Histogram (ApexCharts), Team Collaboration Score, GSAP Team Performance Animations - USE CASE: Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse",
            "overview": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-073",
            "title": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking",
            "prompt_number": 73,
            "prompt": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Neugeschäft-Volumen Daily/Weekly/Monthly (ApexCharts Real-Time Line Chart), Produktarten-Split, Durchschnittliche Vertragssumme, Anzahl Abschlüsse, Top Berater Neugeschäft, Regional Distribution Neugeschäft (D3.js Map), Neugeschäft Forecast basierend auf Pipeline, Saisonalität-Analyse Heatmap, Campaign Performance Marketing-Kampagnen, Lead-to-Close Rate, Time-to-Close Average, New Business Quality Score, GSAP New Business Animations - USE CASE: DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg",
            "overview": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-074",
            "title": "baue ein DVAG Bestandsgeschäft-Analyzer Retention",
            "prompt_number": 74,
            "prompt": "baue ein DVAG Bestandsgeschäft-Analyzer Retention - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestandsvolumen Total nach Produktarten, Retention Rate jährlich (ApexCharts Line Chart), Churn Rate Kündigungen, Lapse Ratio Stornoquote, Premium Persistency Beitragstreue, Policy Persistency Vertragstreue, Storno-Gründe Analyse, At-Risk Customers Identifier Kündigungsrisiko, Bestandspflege-Aktivitäten, Cross-Sell Opportunities im Bestand, Policen-Erhöhungen Dynamik, Bestandsprovisionen Forecast, GSAP Retention Animations - USE CASE: DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification",
            "overview": "baue ein DVAG Bestandsgeschäft-Analyzer Retention",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-075",
            "title": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum",
            "prompt_number": 75,
            "prompt": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Recruiting Funnel Leads/Interviews/Offers/Hires (D3.js Funnel), Conversion Rate pro Stage, Source of Hires Referrals/Events/Online/Ads, Time-to-Hire Average, Quality of Hire Metrics erste 12 Monate Performance, Retention New Hires 1-Jahres-Quote, Onboarding Completion Rate, Recruiter Productivity, Cost per Hire, Headcount Growth Netto-Wachstum (ApexCharts), Regional Recruiting Performance, Diversity Metrics, GSAP Recruiting Funnel Animations - USE CASE: DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting",
            "overview": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-076",
            "title": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy",
            "prompt_number": 76,
            "prompt": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Training Completion Rates alle Programme, Skill Development Tracking pre/post Tests, Certification Success Rate IHK/Sachkunde, Training ROI Performance nach Training, Course Ratings Feedback, Training Hours pro Berater, Compliance Training Mandatory, Product Knowledge Scores, Sales Skills Assessment, Soft Skills Development, Learning Path Completion (D3.js Sankey), Training Cost per Berater, GSAP Training Progress Animations - USE CASE: DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback",
            "overview": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-077",
            "title": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS",
            "prompt_number": 77,
            "prompt": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Net Promoter Score NPS -100 bis +100, Customer Satisfaction Score CSAT, Customer Effort Score CES, Sentiment Analysis Reviews, Complaint Rate, Resolution Time Beschwerden, Survey Response Rate, NPS Trend über Zeit (ApexCharts Line Chart), NPS by Region/Product/Berater, Promoters vs Detractors Analysis, Feedback Themes Word Cloud (D3.js), Referral Rate aus Promoters, GSAP NPS Score Animations - USE CASE: DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse",
            "overview": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-078",
            "title": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring",
            "prompt_number": 78,
            "prompt": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Compliance-Rate Beratungsprotokolle 100% Ziel, Weiterbildungspflicht 15h erfüllt Berater-Quote, IHK-Zertifizierungen aktuell, Produktinformationsblätter vollständig, Datenschutz DSGVO Compliance, Geldwäsche-Prävention Schulungen, Beschwerdemanagement Response Times, Audit Findings offene vs geschlossene, Regulatory Changes Dashboard neue Gesetze (D3.js Timeline), Risk Score Compliance-Risiken (ApexCharts Gauge), Sanctions & Fines Tracking, GSAP Compliance Check Animations - USE CASE: DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation",
            "overview": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-079",
            "title": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio",
            "prompt_number": 79,
            "prompt": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Produktportfolio-Übersicht Leben/BU/Kranken/Fonds/Immobilien, Sales Volume pro Produkt (ApexCharts Treemap), Profitability Margin pro Produkt, Product Life Cycle Stage Introduction/Growth/Maturity/Decline, Market Share Wettbewerb, Customer Satisfaction pro Produkt, Cross-Sell Affinity Matrix (D3.js Heatmap), Product Cannibalization Analysis, Portfolio Balance Risk/Return, New Product Launch Performance, Underperforming Products Identifier, GSAP Product Performance Animations - USE CASE: DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen",
            "overview": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-080",
            "title": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb",
            "prompt_number": 80,
            "prompt": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Marktanteile DVAG vs Wettbewerb Allianz/AXA/Zurich/SwissLife (ApexCharts Pie Chart), Competitive Positioning Matrix (D3.js Scatter Plot), Pricing Comparison Prämien/TER, Product Feature Comparison, Customer Acquisition Trends Markt, Digital Transformation Index Wettbewerber, Social Media Sentiment Analysis, Market Growth Rate gesamt, Regulatory Changes Impact auf Wettbewerb, Competitive Threats & Opportunities, Market Share Trends Historical (ApexCharts Area Chart), GSAP Market Intelligence Animations - USE CASE: DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren ## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE",
            "overview": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren ## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-081",
            "title": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht",
            "prompt_number": 81,
            "prompt": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Verträge Übersicht Leben/BU/Kranken/Fonds/Immobilien, Vertragsstatus Aktiv/Ruhend/Gekündigt, Prämien-Übersicht monatlich/jährlich (ApexCharts Pie Chart), Versicherungssummen Total, Ablaufleistungen Projection, Vertrags-Details pro Police, Beitragsfreistellung Option, Policen-Erhöhung Nachversicherung, Vertragsänderungen Historie, Document Download Police/Jahresinformation, Schadenfall melden, Kontakt Berater Button, GSAP Portal Dashboard Animations - USE CASE: DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen",
            "overview": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-082",
            "title": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service",
            "prompt_number": 82,
            "prompt": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fondspolice-Guthaben aktuell, Fonds-Allocation Pie Chart (ApexCharts), Performance Charts 1/3/5/10 Jahre (D3.js Multi-Line), Einzahlungen vs Wertsteigerung, Cost Average Effect Visualization, Fondswechsel Self-Service Umschichtung, Dynamik-Option Beitragserhöhung, Zuzahlung einmalig, Kosten-Transparenz laufende Kosten, Ablaufleistung Projection (ApexCharts Area Chart), Steuerliche Behandlung Infos, Download Jahresbescheinigung, GSAP Fondspolice Animations - USE CASE: DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich",
            "overview": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-083",
            "title": "programmiere ein DVAG Schadensmeldung-Portal Digital",
            "prompt_number": 83,
            "prompt": "programmiere ein DVAG Schadensmeldung-Portal Digital - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadensmeldung-Formular Step-by-Step, Schadensart Auswahl Unfall/Krankheit/Kfz/Hausrat/Rechtsschutz, Upload Fotos/Belege/Gutachten, Schadennummer Tracking, Status-Verfolgung Eingegangen/Prüfung/Gutachten/Zahlung, Kommunikation mit Sachbearbeiter Chat, Zahlungsstatus Regulierung, Schadens-Historie alle vergangenen, Rückfragen-Management, Fristen-Reminder fehlende Unterlagen, Push Notifications Status-Updates, Durchschnittliche Bearbeitungszeit Info, GSAP Schadensmeldung Animations - USE CASE: DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess",
            "overview": "programmiere ein DVAG Schadensmeldung-Portal Digital",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-084",
            "title": "baue ein DVAG Dokumenten-Center Self-Service Download",
            "prompt_number": 84,
            "prompt": "baue ein DVAG Dokumenten-Center Self-Service Download - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Dokumente Übersicht Verträge/Jahresinformationen/Steuerbescheinigungen/Leistungsübersichten, Kategorisierung nach Dokumententyp, Zeitliche Sortierung, Suchfunktion Volltext, Download PDF einzeln/gesammelt, E-Signatur Vertragsänderungen, Postbox digitale Postbox statt Brief, Archivierung 10 Jahre gesetzlich, Upload eigene Dokumente Scans, Dokumenten-Sharing mit Berater, Neue Dokumente Notifications, Papierlos-Option, GSAP Document Download Animations - USE CASE: DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich",
            "overview": "baue ein DVAG Dokumenten-Center Self-Service Download",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-085",
            "title": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service",
            "prompt_number": 85,
            "prompt": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Beitragszahlungen Übersicht alle Verträge, Zahlungsrhythmus monatlich/quartalsweise/halbjährlich/jährlich, Bankverbindung ändern SEPA-Lastschrift, Zahlungshistorie, Zahlungsausfall-Alerts, Beitragsrückstände Mahnung, Ratenzahlung Rückstände, Beitragsanpassung Dynamik stoppen/aktivieren, Zahlungsmethode ändern Lastschrift/Überweisung, Beitragsfreistellung beantragen, Beitragszahlung aussetzen temporär, Rückforderung überzahlte Beiträge, GSAP Payment Management Animations - USE CASE: DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen",
            "overview": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-086",
            "title": "entwickle einen DVAG Termin-Buchung-Portal Self-Service",
            "prompt_number": 86,
            "prompt": "entwickle einen DVAG Termin-Buchung-Portal Self-Service - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Berater-Kalender Verfügbarkeit, Termin-Buchung Self-Service Datum/Uhrzeit, Terminart Beratung/Jahresgespräch/Vertragsabschluss, Video-Call vs Persönlich vs Telefon, Standort-Auswahl Geschäftsstelle/Kunde, Agenda-Setting Gesprächsthemen, Erinnerung 24h/1h vor Termin, Termin verschieben/absagen Self-Service, Berater-Profil Foto/Bio, Wartezeit-Info durchschnittlich, Meeting-Link Video-Call, Termin-Historie vergangene Gespräche, GSAP Booking Animations - USE CASE: DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand",
            "overview": "entwickle einen DVAG Termin-Buchung-Portal Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-087",
            "title": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service",
            "prompt_number": 87,
            "prompt": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Adresse ändern alle Verträge auf einmal, Telefonnummer ändern, E-Mail-Adresse ändern, Familienstand ändern Heirat/Scheidung, Namensänderung nach Heirat, Kontopfändung melden, Bezugsrechtsänderung Begünstigte, Kinder hinzufügen Geburt, Kinder entfernen Volljährigkeit, Arbeitgeber-Wechsel melden, Änderungs-Historie, Bestätigung E-Mail, Automatische Aktualisierung aller Verträge, GSAP Address Change Animations - USE CASE: DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates",
            "overview": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-088",
            "title": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service",
            "prompt_number": 88,
            "prompt": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestehende Policen Upload/Import, Bedarfsanalyse-Fragebogen Lebenssituation, Coverage Gap Analysis Unterversicherung (ApexCharts Gap Chart), Overlap Detection Doppelversicherung, Optimierungspotenzial Prämien sparen, Produktempfehlungen basierend auf Gaps, Lebensphasen-Check Anpassungsbedarf, Risiko-Score aktueller Schutz (D3.js Gauge), Vergleich zu Empfehlung Soll vs Ist, Beratungstermin vorschlagen bei Gaps, PDF-Report Police-Check Ergebnis, Jährlicher Police-Check Reminder, GSAP Policy Check Animations - USE CASE: DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check",
            "overview": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-089",
            "title": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service",
            "prompt_number": 89,
            "prompt": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FAQ-Kategorien Verträge/Schaden/Zahlung/Änderungen, Suchfunktion Freitext, Chatbot Mock Conversations häufige Fragen, Guided Navigation Decision Tree, Video-Tutorials How-To, Glossar Versicherungsbegriffe, Contact Escalation zu Berater bei komplexen Fragen, Kontaktformular, Telefon-Hotline Info, E-Mail Support, FAQ-Feedback hilfreich/nicht hilfreich, Popular Topics Trending, Chatbot-Analytics häufigste Fragen (ApexCharts), GSAP Chatbot Animations - USE CASE: DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot",
            "overview": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-090",
            "title": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service",
            "prompt_number": 90,
            "prompt": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budgetplaner Einnahmen/Ausgaben, Sparziel-Tracker Notgroschen/Urlaub/Auto, Rentenlücken-Rechner Self-Service, Immobilienfinanzierung-Rechner, Versicherungsbedarf-Calculator Leben/BU, Investment-Rechner ETF-Sparplan, Steuer-Rechner Brutto/Netto, Altersvorsorge-Planner 3 Schichten, Finanz-Ziele Priorisierung, Fortschritt-Tracking Goals, Beratungsempfehlung bei komplexen Zielen, PDF-Export Finanzplan, GSAP Financial Planning Animations - USE CASE: DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung ## Kategorie 10: TRAINING & ONBOARDING APPS",
            "overview": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung ## Kategorie 10: TRAINING & ONBOARDING APPS",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-091",
            "title": "erstelle ein DVAG Onboarding-Dashboard Neue Berater",
            "prompt_number": 91,
            "prompt": "erstelle ein DVAG Onboarding-Dashboard Neue Berater - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Onboarding-Progress Timeline 90 Tage (D3.js Gantt Chart), Pflicht-Trainings Checklist Produkte/Compliance/Sales/IT, Video-Kurse Completion Rate, Quiz-Scores Wissensüberprüfung, IHK-Prüfung Vorbereitung, Sachkundeprüfung §34f GewO, Mentorship Pairing, Buddy-System Support, First Sales Milestone 5 Abschlüsse, Certifications Earned Badges (ApexCharts Progress Bars), Manager Check-Ins Termine, Feedback Surveys, GSAP Onboarding Progress Animations - USE CASE: DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation",
            "overview": "erstelle ein DVAG Onboarding-Dashboard Neue Berater",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-092",
            "title": "entwickle einen DVAG Produkt-Training-Simulator Interactive",
            "prompt_number": 92,
            "prompt": "entwickle einen DVAG Produkt-Training-Simulator Interactive - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Produkt-Katalog alle DVAG-Produkte Leben/BU/Fonds/Immobilien, Interactive Product Explorer Features/Kosten/Zielgruppe, Vergleichs-Tool Produkte Side-by-Side, Sales Pitch Templates, Objection Handling Scenarios, Competitive Comparison Wettbewerb, Tarif-Rechner Integration, Produktwissen-Quiz pro Produkt, Zertifikate pro Produktkategorie, Best Practices Success Stories, Update-Notifications neue Produkte, Learning Path Produktspezialist (D3.js), GSAP Product Training Animations - USE CASE: DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator",
            "overview": "entwickle einen DVAG Produkt-Training-Simulator Interactive",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-093",
            "title": "programmiere ein DVAG Sales-Skills-Training Rollenspiele",
            "prompt_number": 93,
            "prompt": "programmiere ein DVAG Sales-Skills-Training Rollenspiele - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sales Methodology SPIN Selling/Challenger/Solution Selling, Rollenspiel-Szenarien Erstgespräch/Einwandbehandlung/Abschluss, Video-Recording Mock Pitches, Peer Feedback, Self-Assessment Rubrics, Sales Skills Radar Chart (ApexCharts) Rapport/Discovery/Presentation/Closing, Objection Library 50+ Einwände mit Antworten, Call Script Builder, Elevator Pitch Generator, Negotiation Tactics, Closing Techniques, Practice Score Tracking (D3.js), GSAP Sales Roleplay Animations - USE CASE: DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training",
            "overview": "programmiere ein DVAG Sales-Skills-Training Rollenspiele",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-094",
            "title": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen",
            "prompt_number": 94,
            "prompt": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflichtschulungen Geldwäsche/Datenschutz/Beratungsprotokoll/Produktinformationspflicht, E-Learning Modules Video+Text+Quiz, Compliance-Quiz Bestehen 80% minimum, Zertifikate Completion, Jährliche Auffrischung 15h Pflicht, Regulatory Updates neue Gesetze, Best Practices Dos and Don'ts, Case Studies Compliance-Verstöße, Audit Preparation, Compliance Score Dashboard (ApexCharts Gauge), Non-Compliance Consequences, Refresher Training Reminder, GSAP Compliance Training Animations - USE CASE: DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen",
            "overview": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-095",
            "title": "erstelle ein DVAG Soft-Skills-Academy Kommunikation",
            "prompt_number": 95,
            "prompt": "erstelle ein DVAG Soft-Skills-Academy Kommunikation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kommunikations-Training Active Listening/Empathy/Questioning, Konfliktmanagement Deeskalation, Verhandlungsführung Win-Win, Präsentations-Skills, Body Language Decoder, Emotional Intelligence Assessment (ApexCharts Radar), Storytelling für Sales, Rapport Building Techniques, Trust Establishment, Customer Psychology, Cultural Sensitivity, Difficult Conversations Handling, Soft Skills Score Tracking (D3.js), Practice Exercises, GSAP Soft Skills Animations - USE CASE: DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation",
            "overview": "erstelle ein DVAG Soft-Skills-Academy Kommunikation",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-096",
            "title": "entwickle einen DVAG Digital-Tools-Training IT-Skills",
            "prompt_number": 96,
            "prompt": "entwickle einen DVAG Digital-Tools-Training IT-Skills - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: CRM-System Training DVAG-Software, Kunden-Portal Nutzung, Dokumenten-Management System, Video-Call Tools Zoom/Teams, E-Signature Plattform, Tablet-Präsentationen iPad-Apps, Social Selling LinkedIn/Xing, Digital Marketing Basics, Cybersecurity Awareness Phishing, DSGVO Digital, Productivity Tools Kalender/To-Do, IT-Support FAQ, Digital Fluency Score (ApexCharts), GSAP Digital Tools Animations - USE CASE: DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen",
            "overview": "entwickle einen DVAG Digital-Tools-Training IT-Skills",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-097",
            "title": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde",
            "prompt_number": 97,
            "prompt": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: IHK-Prüfung §34f GewO Lernmaterialien, Prüfungsinhalte Versicherungsprodukte/Recht/Steuern/Beratungspflichten, Übungsfragen 1000+ Fragen, Mock-Exams Prüfungssimulation, Zeitlimit 120 Minuten, Score Tracking Fortschritt (ApexCharts Line Chart), Schwachstellen-Analyse welche Themen üben (D3.js Heatmap), Lernplan 8 Wochen strukturiert, Video-Lektionen, Prüfungsangst-Tipps, Success Rate Statistik, Zertifikat Mock bei Bestehen, GSAP Exam Prep Animations - USE CASE: DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung",
            "overview": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-098",
            "title": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning",
            "prompt_number": 98,
            "prompt": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mentor-Matching Senior mit Junior Berater, Mentorship Goals Setting, Meeting-Scheduler regelmäßige Check-Ins, Knowledge Sharing Best Practices, Career Development Roadmap, Skill Gap Identification, Learning Resources Empfehlungen, Feedback 360° Mentor/Mentee, Success Stories Mentorship Impact, Mentorship Program Analytics (ApexCharts), Peer Learning Groups Studiengruppen, Community Forum Q&A, GSAP Mentorship Animations - USE CASE: DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt",
            "overview": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-099",
            "title": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content",
            "prompt_number": 99,
            "prompt": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Micro-Lessons 5-10 Minuten Video/Text/Quiz, Daily Learning Habit 15min täglich, Mobile-First Design Learning on the Go, Push Notifications Daily Lesson, Topics Library 500+ Lessons Produkte/Sales/Compliance/Soft Skills, Gamification Points/Badges/Leaderboard, Spaced Repetition Algorithm optimale Wiederholung, Learning Streaks Consecutive Days, Social Learning Share Progress, Completion Rate Tracking (ApexCharts), Personalized Learning Path AI-basiert, Offline Download Lessons, GSAP Micro Learning Animations - USE CASE: DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition",
            "overview": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100-prompts:prompt-100",
            "title": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation",
            "prompt_number": 100,
            "prompt": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: 360° Feedback Self/Peers/Manager/Customers, Skill Assessment Radar Chart (ApexCharts) Produkte/Sales/Compliance/Soft Skills/Digital, Competency Framework DVAG-Standards, Performance Evaluation Quarterly, Development Plan basierend auf Gaps, Strength Finder Top Talents, Career Path Recommendation, Promotion Readiness Score, Skill Gap Prioritization, Training Recommendations personalisiert, Progress Tracking Over Time (D3.js Line Chart), Coaching Sessions Buchung, GSAP Assessment Animations - USE CASE: DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps ## Hinweis Quelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).",
            "overview": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps ## Hinweis Quelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).",
            "source": "dvag-100-prompts.md",
            "source_path": "dvag-100-prompts.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          }
        ]
      },
      {
        "catalog_type": "prompt_library",
        "catalog_id": "100-database",
        "title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "description": "Prompt library sourced from 100-database.md; prompts are ideas, not verified project evidence.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "count": 100,
        "categories": [
          "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
          "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
          "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
          "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
          "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
          "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
          "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
          "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
          "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
          "WISSENS- & REFERENZDATENBANKEN (10 Prompts)"
        ],
        "records": [
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-601",
            "title": "erstelle eine Elektronik-Inventar-Datenbank mit Garantie-Tracking",
            "prompt_number": 601,
            "prompt": "erstelle eine Elektronik-Inventar-Datenbank mit Garantie-Tracking - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Geräte-Stammdaten Hersteller/Modell/Seriennummer/Kaufdatum/Kaufpreis, Garantie-Ablauf-Tracking mit Ampel-Warnung nahender Fristen, Raum-Zuordnung pro Gerät Wohnzimmer/Küche/Büro, Foto-Anhang pro Gerät als Beleg, Kaufbeleg-Upload-Mockup Rechnung verknüpft, Volltextsuche mit Filtern nach Kategorie/Raum/Hersteller, Sortierbare Tabellenansicht nach Kaufdatum/Wert/Garantie-Status, Verknüpfung zu Versicherungs-Datensätzen bei Diebstahl/Schaden, Duplikat-Erkennung bei Seriennummer-Eingabe, Datenvalidierung Pflichtfelder und Preisformat vor Speichern, Import/Export als CSV und JSON für Versicherungsmeldungen, Backup/Restore-Funktion gesamte Inventar-Datenbank, Gesamtwert-Dashboard nach Raum und Kategorie (ApexCharts Treemap), GSAP Karten-Einblend-Animationen bei neuen Einträgen - USE CASE: Haushalte dokumentieren den Wiederbeschaffungswert ihrer Elektronikgeräte lückenlos für den Schadensfall, Versicherungsnehmer liefern im Schadensfall sofort eine vollständige belegte Liste statt aus dem Gedächtnis zu rekonstruieren.",
            "overview": "erstelle eine Elektronik-Inventar-Datenbank mit Garantie-Tracking",
            "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Haushalte dokumentieren den Wiederbeschaffungswert ihrer Elektronikgeräte lückenlos für den Schadensfall, Versicherungsnehmer liefern im Schadensfall sofort eine vollständige belegte Liste statt aus dem Gedächtnis zu rekonstruieren.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-602",
            "title": "entwickle eine Möbel-Inventar-Datenbank mit Zustands-Historie",
            "prompt_number": 602,
            "prompt": "entwickle eine Möbel-Inventar-Datenbank mit Zustands-Historie - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Möbelstück-Stammdaten Hersteller/Material/Kaufdatum/Kaufpreis/Zustand, Zustands-Historie mit Fotos über Zeit, Raum-Grundriss-Zuordnung welches Möbel in welchem Zimmer, Reparatur-und-Pflege-Log pro Möbelstück, Volltextsuche mit Filtern nach Raum/Material/Zustand, Sortierbare Ansicht nach Wert/Alter/Zustand, Verknüpfung zu Kaufbelegen und Herstellergarantien, Duplikat-Erkennung bei ähnlichen Einträgen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Umzugsplanung, Backup/Restore gesamter Möbel-Datenbestand, Wertverlust-Simulation über Zeit (ApexCharts Line), Umzugs-Checkliste-Modus alle Möbel eines Raums, GSAP Raum-Wechsel-Animationen - USE CASE: Mieter und Eigentümer dokumentieren ihren Möbelbestand für Umzüge und Versicherungsfälle systematisch, die Zustands-Historie schafft Nachweise bei Streitigkeiten über Möbelschäden.",
            "overview": "entwickle eine Möbel-Inventar-Datenbank mit Zustands-Historie",
            "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Mieter und Eigentümer dokumentieren ihren Möbelbestand für Umzüge und Versicherungsfälle systematisch, die Zustands-Historie schafft Nachweise bei Streitigkeiten über Möbelschäden.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-603",
            "title": "programmiere eine Werkzeug- und Heimwerker-Inventar-Datenbank mit Garantie/Leihstatus",
            "prompt_number": 603,
            "prompt": "programmiere eine Werkzeug- und Heimwerker-Inventar-Datenbank mit Garantie/Leihstatus - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Werkzeug-Stammdaten Typ/Hersteller/Kaufdatum/Garantie-Ablauf, Leihstatus-Tracking wer hat welches Werkzeug gerade ausgeliehen, Standort-Zuordnung Werkstatt/Keller/Garage-Regal, Wartungs-Intervall-Erinnerung für Akkugeräte/Maschinen, Volltextsuche mit Filtern nach Kategorie/Standort/Verfügbarkeit, Sortierbare Ansicht nach Kaufdatum/Garantie-Status/Nutzungshäufigkeit, Verknüpfung zwischen Werkzeug und Projekten wofür verwendet, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON, Backup/Restore-Funktion, Nutzungsstatistik meistgenutzte Werkzeuge (ApexCharts Balken), Rückgabe-Erinnerung überfällige Leihgaben, GSAP Regal-Ansicht-Animationen - USE CASE: Heimwerker behalten trotz wachsender Werkzeugsammlung den Überblick über Standort und Garantiestatus, verliehene Werkzeuge an Nachbarn oder Familie werden nicht mehr vergessen.",
            "overview": "programmiere eine Werkzeug- und Heimwerker-Inventar-Datenbank mit Garantie/Leihstatus",
            "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Heimwerker behalten trotz wachsender Werkzeugsammlung den Überblick über Standort und Garantiestatus, verliehene Werkzeuge an Nachbarn oder Familie werden nicht mehr vergessen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-604",
            "title": "baue einen Münzsammlung-Katalog (Numismatik)",
            "prompt_number": 604,
            "prompt": "baue einen Münzsammlung-Katalog (Numismatik) - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Münz-Katalogdaten Prägejahr/Nominal/Land/Erhaltungsgrad/Material, Katalognummer-Verknüpfung Referenzwerke, Foto-Dokumentation Vorder-und-Rückseite pro Münze, Marktwert-Schätzung-Feld mit Verlaufs-Historie, Volltextsuche mit Filtern nach Land/Epoche/Erhaltungsgrad, Sortierbare Sammlung nach Wert/Jahr/Seltenheit, Verknüpfung zu Erwerbs-Belegen und Händlerkontakten, Duplikat-Erkennung gleiche Münze bereits erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Versicherungsnachweis, Backup/Restore gesamte Sammlung, Sammlungswert-Entwicklung über Zeit (ApexCharts Line), Wunschlisten-Modus fehlende Münzen einer Serie, GSAP Vitrinen-Ansicht-Animationen - USE CASE: Münzsammler katalogisieren ihre wachsende Sammlung strukturiert statt in Karteikarten oder Excel, der geschätzte Gesamtwert dient als Nachweis gegenüber der Hausratversicherung.",
            "overview": "baue einen Münzsammlung-Katalog (Numismatik)",
            "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Münzsammler katalogisieren ihre wachsende Sammlung strukturiert statt in Karteikarten oder Excel, der geschätzte Gesamtwert dient als Nachweis gegenüber der Hausratversicherung.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-605",
            "title": "erstelle einen Briefmarkensammlung-Katalog (Philatelie)",
            "prompt_number": 605,
            "prompt": "erstelle einen Briefmarkensammlung-Katalog (Philatelie) - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Briefmarken-Stammdaten Ausgabejahr/Land/Motiv/Zähnung/Erhaltungszustand, Album-Seiten-Zuordnung virtuelle Anordnung, Katalognummer-Referenz Michel/Yvert, Foto-Scan-Anhang pro Marke, Volltextsuche mit Filtern nach Land/Motiv/Jahr, Sortierbare Ansicht nach Wert/Seltenheit/Zustand, Verknüpfung zu Themenserien zusammengehörige Ausgaben, Duplikat-Erkennung beim Erfassen, Datenvalidierung Pflichtfelder und Jahresformat, Import/Export CSV/JSON, Backup/Restore-Funktion, Sammlungsstatistik nach Ländern und Epochen (ApexCharts Donut), Fehlbestands-Liste noch fehlende Marken einer Serie, GSAP Album-Blättern-Animationen - USE CASE: Philatelisten verwalten umfangreiche Sammlungen digital mit sofortigem Überblick über Lücken in Themenserien, die Album-Seiten-Zuordnung erleichtert die physische Neuordnung der realen Sammlung.",
            "overview": "erstelle einen Briefmarkensammlung-Katalog (Philatelie)",
            "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Philatelisten verwalten umfangreiche Sammlungen digital mit sofortigem Überblick über Lücken in Themenserien, die Album-Seiten-Zuordnung erleichtert die physische Neuordnung der realen Sammlung.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-606",
            "title": "entwickle eine Vinyl-Sammlung-Katalog-Datenbank",
            "prompt_number": 606,
            "prompt": "entwickle eine Vinyl-Sammlung-Katalog-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schallplatten-Stammdaten Interpret/Album/Pressjahr/Label/Zustand-Cover-und-Vinyl, Genre- und Stimmungs-Tags, Hörprotokoll wann zuletzt gespielt, Wert-Schätzung nach Presswerk und Seltenheit, Volltextsuche mit Filtern nach Interpret/Genre/Jahrzehnt, Sortierbare Regalansicht nach Label/Zustand/Wert, Verknüpfung zu Konzertbesuchen oder Erinnerungen pro Album, Duplikat-Erkennung bereits vorhandene Pressung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Versicherung, Backup/Restore gesamte Sammlung, Sammlungswert- und Genre-Verteilung (ApexCharts Treemap), Wunschliste noch fehlende Pressungen, GSAP Plattencover-Flip-Animationen - USE CASE: Vinyl-Sammler dokumentieren Presswerk-Details und Zustand für den Wiederverkaufswert präzise, Musikliebhaber erhalten einen visuellen Überblick über Jahrzehnte und Genres der eigenen Sammlung.",
            "overview": "entwickle eine Vinyl-Sammlung-Katalog-Datenbank",
            "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Vinyl-Sammler dokumentieren Presswerk-Details und Zustand für den Wiederverkaufswert präzise, Musikliebhaber erhalten einen visuellen Überblick über Jahrzehnte und Genres der eigenen Sammlung.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-607",
            "title": "programmiere eine Weinkeller-Datenbank mit Trinkreife-Tracking",
            "prompt_number": 607,
            "prompt": "programmiere eine Weinkeller-Datenbank mit Trinkreife-Tracking - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wein-Stammdaten Weingut/Jahrgang/Rebsorte/Region/Trinkreife-Fenster, Lagerort-Zuordnung Regal/Fach im Weinkeller, Trinkreife-Erinnerung optimales Trinkfenster mit Ampel, Verkostungsnotizen pro Flasche mit Bewertung, Volltextsuche mit Filtern nach Region/Rebsorte/Jahrgang, Sortierbare Ansicht nach Trinkreife/Wert/Lagerort, Verknüpfung zu Menü-Empfehlungen Speise-Wein-Pairing, Duplikat-Erkennung gleiche Flasche mehrfach erfasst, Datenvalidierung Pflichtfelder und Jahrgangs-Plausibilität, Import/Export CSV/JSON für Versicherungswert, Backup/Restore-Funktion, Bestandswert- und Trinkreife-Übersicht (ApexCharts Gauge), Nachkauf-Erinnerung bei Lieblingsweinen zur Neige, GSAP Regal-Fach-Animationen - USE CASE: Weinliebhaber behalten bei wachsendem Bestand den Überblick welche Flasche wann getrunken werden sollte, Sammler mit Investment-Weinen dokumentieren Lagerbedingungen und Wert für Versicherung und Wiederverkauf.",
            "overview": "programmiere eine Weinkeller-Datenbank mit Trinkreife-Tracking",
            "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Weinliebhaber behalten bei wachsendem Bestand den Überblick welche Flasche wann getrunken werden sollte, Sammler mit Investment-Weinen dokumentieren Lagerbedingungen und Wert für Versicherung und Wiederverkauf.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-608",
            "title": "baue einen generalisierten Sammelobjekte-Katalog Comics/Actionfiguren/Modellautos",
            "prompt_number": 608,
            "prompt": "baue einen generalisierten Sammelobjekte-Katalog Comics/Actionfiguren/Modellautos - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kategorie-übergreifende Sammelobjekt-Stammdaten Sammelkarten/Comics/Actionfiguren/Modellautos mit Zustandsgrad, Seltenheits-Klassifizierung pro Objekttyp, Foto-Dokumentation mehrere Ansichten pro Objekt, Erwerbs-Historie Kaufpreis und Quelle, Volltextsuche mit Filtern nach Kategorie/Serie/Zustand, Sortierbare Sammlung nach Wert/Seltenheit/Erwerbsdatum, Verknüpfung zwischen zusammengehörigen Sets und Serien, Duplikat-Erkennung beim Erfassen neuer Objekte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Sammlungswert-Entwicklung nach Kategorie (ApexCharts Balken), Vollständigkeits-Tracker fehlende Objekte einer Serie, GSAP Vitrinen-Karten-Animationen - USE CASE: Sammler verschiedenster Nischen von Comics bis Modellautos nutzen eine einzige flexible Datenbank statt spezialisierter Einzeltools, die Vollständigkeits-Anzeige motiviert zum gezielten Nachkauf fehlender Serienobjekte.",
            "overview": "baue einen generalisierten Sammelobjekte-Katalog Comics/Actionfiguren/Modellautos",
            "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Sammler verschiedenster Nischen von Comics bis Modellautos nutzen eine einzige flexible Datenbank statt spezialisierter Einzeltools, die Vollständigkeits-Anzeige motiviert zum gezielten Nachkauf fehlender Serienobjekte.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-609",
            "title": "erstelle ein Hausrat-Versicherungsregister für Vermögensgegenstände",
            "prompt_number": 609,
            "prompt": "erstelle ein Hausrat-Versicherungsregister für Vermögensgegenstände - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vermögensgegenstand-Stammdaten Kategorie/Anschaffungswert/Wiederbeschaffungswert/Kaufdatum, Verknüpfung zu Kaufbelegen und Fotos als Schadensnachweis, Raum-Zuordnung für Schadenslokalisierung, Versicherungspolicen-Zuordnung welcher Gegenstand über welche Police läuft, Volltextsuche mit Filtern nach Kategorie/Raum/Wertklasse, Sortierbare Ansicht nach Wert/Alter/Police, Verknüpfung zu Schadensfällen historisch gemeldete Vorfälle, Duplikat-Erkennung bei Mehrfacherfassung, Datenvalidierung Pflichtfelder und Wertformat vor Speichern, Import/Export CSV/JSON als Beleg für Versicherer, Backup/Restore-Funktion Gesamtregister, Gesamtwert-Dashboard nach Kategorie und Raum (ApexCharts Treemap), Unterversicherungs-Warnung bei Wertsprüngen, GSAP Dashboard-Update-Animationen - USE CASE: Haushalte erstellen ein versicherungstaugliches Vermögensregister das im Schadensfall sofort belastbare Nachweise liefert, die Unterversicherungs-Warnung hilft die Hausratversicherung rechtzeitig anzupassen.",
            "overview": "erstelle ein Hausrat-Versicherungsregister für Vermögensgegenstände",
            "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Haushalte erstellen ein versicherungstaugliches Vermögensregister das im Schadensfall sofort belastbare Nachweise liefert, die Unterversicherungs-Warnung hilft die Hausratversicherung rechtzeitig anzupassen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-610",
            "title": "entwickle eine Kunst- und Antiquitäten-Sammlung-Datenbank mit Provenienz",
            "prompt_number": 610,
            "prompt": "entwickle eine Kunst- und Antiquitäten-Sammlung-Datenbank mit Provenienz - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kunstobjekt-Stammdaten Künstler/Epoche/Technik/Maße/Erwerbsjahr, Provenienz-Dokumentation lückenlose Besitzerkette, Zertifikats-und-Echtheitsnachweis-Anhang, Zustandsberichte über Zeit mit Restaurierungs-Historie, Volltextsuche mit Filtern nach Künstler/Epoche/Wertklasse, Sortierbare Ansicht nach Wert/Erwerbsjahr/Zustand, Verknüpfung zu Ausstellungen wo Objekt gezeigt wurde, Duplikat-Erkennung bei Katalogisierung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Gutachten und Versicherung, Backup/Restore gesamte Sammlung, Wertentwicklung nach Künstler und Epoche (ApexCharts Line), Versicherungswert-Gutachten-Erinnerung bei Fälligkeit, GSAP Galerie-Ansicht-Animationen - USE CASE: Kunstsammler dokumentieren Provenienz und Zustand ihrer Objekte lückenlos für Wiederverkauf und Versicherung, die Ausstellungs-Verknüpfung schafft einen nachvollziehbaren kulturhistorischen Werdegang jedes Stücks. ## Kategorie 2: KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "overview": "entwickle eine Kunst- und Antiquitäten-Sammlung-Datenbank mit Provenienz",
            "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Kunstsammler dokumentieren Provenienz und Zustand ihrer Objekte lückenlos für Wiederverkauf und Versicherung, die Ausstellungs-Verknüpfung schafft einen nachvollziehbaren kulturhistorischen Werdegang jedes Stücks. ## Kategorie 2: KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-611",
            "title": "programmiere eine persönliche CRM-Kontaktdatenbank mit Beziehungs-Netzwerk",
            "prompt_number": 611,
            "prompt": "programmiere eine persönliche CRM-Kontaktdatenbank mit Beziehungs-Netzwerk - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kontakt-Stammdaten Name/Beziehungstyp/Kennenlern-Kontext/Kontaktdaten, Interaktions-Historie Anrufe/Treffen/Nachrichten chronologisch, Wiedervorlage-Erinnerung längere Zeit nicht gemeldet, Beziehungs-Netzwerk-Visualisierung wer kennt wen (D3.js Force-Graph), Volltextsuche mit Filtern nach Beziehungstyp/Tags/Ort, Sortierbare Ansicht nach letztem Kontakt/Wichtigkeit, Verknüpfung zwischen Kontakten und gemeinsamen Ereignissen, Duplikat-Erkennung ähnlicher Namen beim Anlegen, Datenvalidierung Pflichtfelder und E-Mail-Format, Import/Export CSV/vCard/JSON, Backup/Restore gesamte Kontaktdatenbank, Kontakthäufigkeits-Statistik pro Beziehungstyp (ApexCharts), Geburtstags-und-Jahrestags-Erinnerung, GSAP Netzwerk-Graph-Animationen - USE CASE: Privatpersonen pflegen ihr persönliches Beziehungsnetzwerk aktiv statt es dem Zufall zu überlassen, die Wiedervorlage-Erinnerung verhindert dass wichtige Kontakte über Jahre einschlafen.",
            "overview": "programmiere eine persönliche CRM-Kontaktdatenbank mit Beziehungs-Netzwerk",
            "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 2,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Privatpersonen pflegen ihr persönliches Beziehungsnetzwerk aktiv statt es dem Zufall zu überlassen, die Wiedervorlage-Erinnerung verhindert dass wichtige Kontakte über Jahre einschlafen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-612",
            "title": "baue eine Freelancer-Klienten-CRM-Datenbank",
            "prompt_number": 612,
            "prompt": "baue eine Freelancer-Klienten-CRM-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klienten-Stammdaten Firma/Ansprechpartner/Branche/Akquise-Quelle, Projekt-Historie pro Klient verknüpft, Angebots-und-Auftrags-Status-Tracking, Kommunikations-Log E-Mails/Calls/Meetings, Volltextsuche mit Filtern nach Branche/Status/Umsatzklasse, Sortierbare Ansicht nach Umsatz/letztem Kontakt/Status, Verknüpfung zu Rechnungen und offenen Posten, Duplikat-Erkennung bei Firmenname-Ähnlichkeit, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Steuerberater, Backup/Restore-Funktion, Umsatz-pro-Klient-Dashboard (ApexCharts Balken), Wiedervorlage-Erinnerung für Follow-ups, GSAP Klienten-Karten-Animationen - USE CASE: Freelancer verwalten ihre Kundenbeziehungen und Auftragshistorie zentral statt in verstreuten Notizen, das Umsatz-Dashboard zeigt sofort welche Klienten am wertvollsten sind.",
            "overview": "baue eine Freelancer-Klienten-CRM-Datenbank",
            "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 2,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Freelancer verwalten ihre Kundenbeziehungen und Auftragshistorie zentral statt in verstreuten Notizen, das Umsatz-Dashboard zeigt sofort welche Klienten am wertvollsten sind.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-613",
            "title": "erstelle eine Alumni-Netzwerk-Datenbank für Hochschulen",
            "prompt_number": 613,
            "prompt": "erstelle eine Alumni-Netzwerk-Datenbank für Hochschulen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Absolventen-Stammdaten Abschlussjahr/Studiengang/aktuelle-Position/Firma, Karriereweg-Historie pro Alumnus, Mentoring-Bereitschaft-Kennzeichnung wer hilft aktuellen Studierenden, Regionale-Gruppen-Zuordnung Standort-Cluster, Volltextsuche mit Filtern nach Jahrgang/Studiengang/Branche, Sortierbare Ansicht nach Abschlussjahr/Branche/Region, Verknüpfung zwischen Alumni und Veranstaltungen Teilnahme-Historie, Duplikat-Erkennung bei Neuanmeldung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Verbandsverwaltung, Backup/Restore gesamte Datenbank, Karriere-Verteilung nach Branchen (ApexCharts Sankey), Spendenbereitschafts-Tracking-Mockup, GSAP Netzwerk-Karten-Animationen - USE CASE: Ehemaligenvereine und Hochschulen pflegen den Kontakt zu Absolventen über Jahrzehnte strukturiert, aktuelle Studierende finden über die Mentoring-Kennzeichnung passende Ansprechpartner für den Berufseinstieg.",
            "overview": "erstelle eine Alumni-Netzwerk-Datenbank für Hochschulen",
            "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 2,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Ehemaligenvereine und Hochschulen pflegen den Kontakt zu Absolventen über Jahrzehnte strukturiert, aktuelle Studierende finden über die Mentoring-Kennzeichnung passende Ansprechpartner für den Berufseinstieg.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-614",
            "title": "entwickle eine Familie-und-Freunde-wichtige-Daten-Datenbank",
            "prompt_number": 614,
            "prompt": "entwickle eine Familie-und-Freunde-wichtige-Daten-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Personen-Stammdaten Name/Beziehung/Geburtstag/Jahrestag/Geschenk-Vorlieben, Wichtige-Termine-Kalenderansicht Geburtstage/Hochzeitstage/Gedenktage, Geschenkideen-Liste pro Person mit Budget, Erinnerungs-Vorlauf konfigurierbar Tage vor Termin, Volltextsuche mit Filtern nach Beziehungstyp/Monat, Sortierbare Ansicht nach nächstem Termin/Beziehung, Verknüpfung zwischen Personen gleicher Familie, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON/Kalenderformat, Backup/Restore-Funktion, Termine-pro-Monat-Übersicht (ApexCharts Balken), Geschenke-Budget-Tracking über das Jahr, GSAP Kalender-Monatswechsel-Animationen - USE CASE: Familien behalten trotz vieler wichtiger Termine den Überblick über Geburtstage und Jahrestage aller Angehörigen, die Geschenkideen-Liste verhindert Last-Minute-Stress vor jedem Anlass.",
            "overview": "entwickle eine Familie-und-Freunde-wichtige-Daten-Datenbank",
            "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 2,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Familien behalten trotz vieler wichtiger Termine den Überblick über Geburtstage und Jahrestage aller Angehörigen, die Geschenkideen-Liste verhindert Last-Minute-Stress vor jedem Anlass.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-615",
            "title": "programmiere einen professionellen Empfehlungsnetzwerk-Tracker",
            "prompt_number": 615,
            "prompt": "programmiere einen professionellen Empfehlungsnetzwerk-Tracker - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kontakt-Stammdaten Name/Fachgebiet/Vertrauensstufe/Empfehlungshistorie, Empfehlungs-Tracking wer hat wen an wen vermittelt, Netzwerk-Visualisierung Empfehlungsketten (D3.js Sankey), Gegenseitigkeits-Score wie oft wurde zurück-empfohlen, Volltextsuche mit Filtern nach Fachgebiet/Region/Vertrauensstufe, Sortierbare Ansicht nach Empfehlungsanzahl/letztem Kontakt, Verknüpfung zwischen Empfehlungen und resultierenden Aufträgen, Duplikat-Erkennung bei Kontaktanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamtes Netzwerk, Empfehlungs-Erfolgsquote-Dashboard (ApexCharts), Dankes-Erinnerung nach erfolgreicher Vermittlung, GSAP Empfehlungsketten-Animationen - USE CASE: Selbstständige und Berater pflegen ihr Netzwerk aus gegenseitigen Weiterempfehlungen systematisch statt informell im Kopf, die Erfolgsquote zeigt welche Netzwerkpartner tatsächlich werthaltige Aufträge vermitteln.",
            "overview": "programmiere einen professionellen Empfehlungsnetzwerk-Tracker",
            "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 2,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Selbstständige und Berater pflegen ihr Netzwerk aus gegenseitigen Weiterempfehlungen systematisch statt informell im Kopf, die Erfolgsquote zeigt welche Netzwerkpartner tatsächlich werthaltige Aufträge vermitteln.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-616",
            "title": "baue eine Networking-Visitenkarten-Datenbank mit Follow-up-Tracking",
            "prompt_number": 616,
            "prompt": "baue eine Networking-Visitenkarten-Datenbank mit Follow-up-Tracking - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Visitenkarten-Stammdaten Name/Firma/Position/Event-Kontext-Kennenlernen, Foto-Anhang gescannte Visitenkarte-Mockup, Follow-up-Status-Tracking kontaktiert/wartend/erledigt, Tag-System nach Branche/Interesse/Veranstaltung, Volltextsuche mit Filtern nach Event/Branche/Status, Sortierbare Ansicht nach Kennenlern-Datum/Follow-up-Status, Verknüpfung zu Veranstaltungen bei denen Kontakt entstand, Duplikat-Erkennung gleiche Person mehrfach gescannt, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/vCard/JSON, Backup/Restore-Funktion, Netzwerk-Wachstum-pro-Event-Statistik (ApexCharts), Erinnerung für ausstehende Follow-ups, GSAP Karten-Scan-Animationen - USE CASE: Vielbesucher von Konferenzen und Messen wandeln gesammelte Visitenkarten systematisch in gepflegte Kontakte um, das Follow-up-Tracking verhindert dass wertvolle neue Kontakte nach dem Event verpuffen.",
            "overview": "baue eine Networking-Visitenkarten-Datenbank mit Follow-up-Tracking",
            "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 2,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Vielbesucher von Konferenzen und Messen wandeln gesammelte Visitenkarten systematisch in gepflegte Kontakte um, das Follow-up-Tracking verhindert dass wertvolle neue Kontakte nach dem Event verpuffen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-617",
            "title": "erstelle eine Vermieter-Mieter-Verwaltungsdatenbank",
            "prompt_number": 617,
            "prompt": "erstelle eine Vermieter-Mieter-Verwaltungsdatenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mieter-Stammdaten Name/Einheit/Mietbeginn/Kontaktdaten, Mietvertrags-Verknüpfung pro Mieter mit Konditionen, Kommunikations-Log Anfragen/Mängelmeldungen, Zahlungshistorie-Übersicht pro Mieteinheit, Volltextsuche mit Filtern nach Einheit/Status/Mietdauer, Sortierbare Ansicht nach Mietbeginn/Einheit/offenen-Punkten, Verknüpfung zwischen Mietern und gemeldeten Mängeln, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON für Hausverwaltung, Backup/Restore gesamte Mieterdatenbank, Belegungs-und-Fluktuations-Statistik (ApexCharts), Vertragsverlängerungs-Erinnerung vor Fristablauf, GSAP Einheiten-Übersichts-Animationen - USE CASE: Privatvermieter mit mehreren Einheiten behalten Mietverhältnisse und Kommunikation zentral im Blick statt in verstreuten E-Mails, die Fluktuationsstatistik zeigt frühzeitig Handlungsbedarf bei häufigen Mieterwechseln.",
            "overview": "erstelle eine Vermieter-Mieter-Verwaltungsdatenbank",
            "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 2,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Privatvermieter mit mehreren Einheiten behalten Mietverhältnisse und Kommunikation zentral im Blick statt in verstreuten E-Mails, die Fluktuationsstatistik zeigt frühzeitig Handlungsbedarf bei häufigen Mieterwechseln.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-618",
            "title": "entwickle eine Nachbarschaftsnetzwerk-Datenbank für gegenseitige Hilfe",
            "prompt_number": 618,
            "prompt": "entwickle eine Nachbarschaftsnetzwerk-Datenbank für gegenseitige Hilfe - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Nachbar-Stammdaten Name/Adresse/Haushaltsgröße/Fähigkeiten-Angebot, Gegenseitige-Hilfe-Tracking wer hat wem wann geholfen, Ressourcen-Tausch-Verzeichnis Leihgaben zwischen Haushalten, Notfallkontakt-Kennzeichnung für Vertretungen im Urlaub, Volltextsuche mit Filtern nach Straße/Fähigkeit/Verfügbarkeit, Sortierbare Ansicht nach Adresse/letzter-Interaktion, Verknüpfung zwischen Hilfegesuchen und Helfern, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Aktivitäts-Statistik Hilfsnetzwerk (ApexCharts), Nachbarschaftsfest-Planungs-Verknüpfung, GSAP Nachbarschaftskarten-Animationen - USE CASE: Nachbarschaften organisieren gegenseitige Unterstützung und Ressourcentausch strukturiert statt über lose WhatsApp-Gruppen, die Notfallkontakt-Funktion schafft Sicherheit bei kurzfristiger Abwesenheit.",
            "overview": "entwickle eine Nachbarschaftsnetzwerk-Datenbank für gegenseitige Hilfe",
            "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 2,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Nachbarschaften organisieren gegenseitige Unterstützung und Ressourcentausch strukturiert statt über lose WhatsApp-Gruppen, die Notfallkontakt-Funktion schafft Sicherheit bei kurzfristiger Abwesenheit.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-619",
            "title": "programmiere einen Mentor-Mentee-Beziehungstracker",
            "prompt_number": 619,
            "prompt": "programmiere einen Mentor-Mentee-Beziehungstracker - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mentoring-Beziehungs-Stammdaten Mentor/Mentee/Start-Datum/Zielsetzung, Sitzungs-Protokoll-Log pro Treffen mit Themen, Fortschritts-Tracking vereinbarte Ziele erreicht/offen, Feedback-Formular nach jeder Sitzung, Volltextsuche mit Filtern nach Status/Themenbereich, Sortierbare Ansicht nach Startdatum/Fortschritt, Verknüpfung mehrerer Mentees zu einem Mentor, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Programmverwaltung, Backup/Restore gesamtes Programm, Fortschritts-Dashboard über alle Mentoring-Paare (ApexCharts Radar), Erinnerung für nächste vereinbarte Sitzung, GSAP Fortschritts-Animationen - USE CASE: Mentoring-Programme in Unternehmen oder Vereinen dokumentieren den Verlauf einzelner Mentoring-Beziehungen strukturiert, Programmverantwortliche erkennen anhand des Dashboards welche Paarungen zusätzliche Unterstützung brauchen.",
            "overview": "programmiere einen Mentor-Mentee-Beziehungstracker",
            "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 2,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Mentoring-Programme in Unternehmen oder Vereinen dokumentieren den Verlauf einzelner Mentoring-Beziehungen strukturiert, Programmverantwortliche erkennen anhand des Dashboards welche Paarungen zusätzliche Unterstützung brauchen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-620",
            "title": "baue eine Lieferanten-Beziehungsdatenbank für Kleinunternehmen",
            "prompt_number": 620,
            "prompt": "baue eine Lieferanten-Beziehungsdatenbank für Kleinunternehmen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lieferanten-Stammdaten Firma/Ansprechpartner/Produktkategorie/Zahlungsziel, Bestellhistorie pro Lieferant verknüpft, Zuverlässigkeits-Bewertung Lieferzeit-Einhaltung, Preisentwicklungs-Tracking pro Artikel über Zeit, Volltextsuche mit Filtern nach Kategorie/Bewertung/Region, Sortierbare Ansicht nach Bestellvolumen/Zuverlässigkeit, Verknüpfung zwischen Lieferanten und bestellten Artikeln, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Buchhaltung, Backup/Restore-Funktion, Lieferanten-Performance-Dashboard (ApexCharts), Vertragsverlängerungs-Erinnerung, GSAP Lieferanten-Karten-Animationen - USE CASE: Kleinunternehmen behalten bei wachsender Lieferantenzahl Zuverlässigkeit und Konditionen im Überblick, das Performance-Dashboard erleichtert die Entscheidung bei der nächsten Vertragsverhandlung. ## Kategorie 3: BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "overview": "baue eine Lieferanten-Beziehungsdatenbank für Kleinunternehmen",
            "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 2,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Kleinunternehmen behalten bei wachsender Lieferantenzahl Zuverlässigkeit und Konditionen im Überblick, das Performance-Dashboard erleichtert die Entscheidung bei der nächsten Vertragsverhandlung. ## Kategorie 3: BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-621",
            "title": "erstelle einen persönlichen Bücher-Bibliothekskatalog mit ISBN-Lookup-Mock",
            "prompt_number": 621,
            "prompt": "erstelle einen persönlichen Bücher-Bibliothekskatalog mit ISBN-Lookup-Mock - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buch-Stammdaten Titel/Autor/ISBN/Genre/Erscheinungsjahr, ISBN-Lookup-Mock automatisches Ausfüllen der Metadaten, Lesestatus-Tracking gelesen/aktuell-lesend/geplant, Bewertungs-und-Rezensions-Feld pro Buch, Volltextsuche mit Filtern nach Genre/Autor/Lesestatus, Sortierbare Ansicht nach Erscheinungsjahr/Bewertung/Autor, Verknüpfung zwischen Büchern derselben Reihe, Duplikat-Erkennung bei ISBN-Übereinstimmung, Datenvalidierung Pflichtfelder und ISBN-Format-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Bibliothek, Lesestatistik nach Genre und Jahr (ApexCharts Balken), Leseziel-Tracker Bücher pro Jahr, GSAP Bücherregal-Animationen - USE CASE: Vielleser katalogisieren ihre wachsende Bibliothek mit automatisiertem Metadaten-Abgleich statt manueller Eingabe, das Leseziel-Tracking motiviert zum regelmäßigen Weiterlesen über das Jahr.",
            "overview": "erstelle einen persönlichen Bücher-Bibliothekskatalog mit ISBN-Lookup-Mock",
            "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "category_number": 3,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Vielleser katalogisieren ihre wachsende Bibliothek mit automatisiertem Metadaten-Abgleich statt manueller Eingabe, das Leseziel-Tracking motiviert zum regelmäßigen Weiterlesen über das Jahr.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-622",
            "title": "entwickle einen Bücher-Verleih-Tracker für ausgeliehene Bücher",
            "prompt_number": 622,
            "prompt": "entwickle einen Bücher-Verleih-Tracker für ausgeliehene Bücher - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verleih-Stammdaten Buchtitel/Ausleiher/Ausleihdatum/vereinbartes-Rückgabedatum, Verknüpfung zum Bibliothekskatalog-Datensatz, Überfällig-Ampel bei verstrichener Rückgabefrist, Erinnerungs-Funktion an Ausleiher, Volltextsuche mit Filtern nach Status/Ausleiher/Buch, Sortierbare Ansicht nach Ausleihdatum/Überfälligkeit, Verknüpfung mehrerer Ausleihen desselben Kontakts, Duplikat-Erkennung gleiches Buch bereits verliehen, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON, Backup/Restore-Funktion, Verleih-Statistik meistverliehene Bücher (ApexCharts), Rückgabe-Historie pro Ausleiher Zuverlässigkeits-Score, GSAP Überfällig-Warnungs-Animationen - USE CASE: Buchbesitzer behalten den Überblick welches Buch bei welchem Freund gerade ausgeliehen ist, der Zuverlässigkeits-Score hilft künftig einzuschätzen wem man bedenkenlos etwas leiht.",
            "overview": "entwickle einen Bücher-Verleih-Tracker für ausgeliehene Bücher",
            "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "category_number": 3,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Buchbesitzer behalten den Überblick welches Buch bei welchem Freund gerade ausgeliehen ist, der Zuverlässigkeits-Score hilft künftig einzuschätzen wem man bedenkenlos etwas leiht.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-623",
            "title": "programmiere eine Film-Watch-Datenbank mit Sehgewohnheiten-Statistik",
            "prompt_number": 623,
            "prompt": "programmiere eine Film-Watch-Datenbank mit Sehgewohnheiten-Statistik - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Film-Stammdaten Titel/Regisseur/Jahr/Genre/Laufzeit, Watch-Status geplant/geschaut/abgebrochen, Bewertungs-und-Notizfeld pro Film, Streaming-Verfügbarkeits-Mockup wo aktuell verfügbar, Volltextsuche mit Filtern nach Genre/Jahr/Bewertung, Sortierbare Ansicht nach Watch-Datum/Bewertung/Genre, Verknüpfung zwischen Filmen und Schauspielern/Regisseuren, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Datenbank, Sehgewohnheiten-Statistik nach Genre und Jahrzehnt (ApexCharts Radar), Watchlist-Priorisierung, GSAP Filmplakat-Flip-Animationen - USE CASE: Filmliebhaber dokumentieren gesehene Filme mit eigener Bewertung statt sich auf externe Portale zu verlassen, die Genre-Statistik zeigt die eigenen Sehgewohnheiten über Jahre hinweg auf.",
            "overview": "programmiere eine Film-Watch-Datenbank mit Sehgewohnheiten-Statistik",
            "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "category_number": 3,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Filmliebhaber dokumentieren gesehene Filme mit eigener Bewertung statt sich auf externe Portale zu verlassen, die Genre-Statistik zeigt die eigenen Sehgewohnheiten über Jahre hinweg auf.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-624",
            "title": "baue eine Serien-Watch-Datenbank mit Fortschritts-Tracking",
            "prompt_number": 624,
            "prompt": "baue eine Serien-Watch-Datenbank mit Fortschritts-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Serien-Stammdaten Titel/Staffeln/Episoden/Genre/Streaming-Anbieter-Mockup, Fortschritts-Tracking zuletzt geschaute Episode pro Serie, Episoden-Bewertung einzeln möglich, Wartestatus-Kennzeichnung auf neue Staffel wartend, Volltextsuche mit Filtern nach Genre/Status/Anbieter, Sortierbare Ansicht nach Fortschritt/Bewertung/zuletzt-geschaut, Verknüpfung zwischen Serien desselben Universums Spin-offs, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Bingewatching-Statistik Episoden pro Woche (ApexCharts Line), Neue-Staffel-Erinnerung, GSAP Fortschrittsbalken-Animationen - USE CASE: Serienfans mit vielen parallel verfolgten Shows behalten den Überblick welche Episode als nächstes ansteht, die Bingewatching-Statistik macht das eigene Sehverhalten transparent nachvollziehbar.",
            "overview": "baue eine Serien-Watch-Datenbank mit Fortschritts-Tracking",
            "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "category_number": 3,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Serienfans mit vielen parallel verfolgten Shows behalten den Überblick welche Episode als nächstes ansteht, die Bingewatching-Statistik macht das eigene Sehverhalten transparent nachvollziehbar.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-625",
            "title": "erstelle einen Musiksammlung-Katalog physisch und digital",
            "prompt_number": 625,
            "prompt": "erstelle einen Musiksammlung-Katalog physisch und digital - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Album-Stammdaten Interpret/Album/Format-CD-Digital/Erscheinungsjahr/Genre, Track-Liste pro Album mit Lieblingssong-Kennzeichnung, Format-Übersicht physisch vs digital pro Album, Hörhäufigkeits-Tracking-Mockup, Volltextsuche mit Filtern nach Interpret/Genre/Format, Sortierbare Ansicht nach Erscheinungsjahr/Genre/Hörhäufigkeit, Verknüpfung zwischen Alben desselben Interpreten Diskografie, Duplikat-Erkennung gleiches Album mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Genre-und-Jahrzehnt-Verteilung (ApexCharts Treemap), Wunschliste noch fehlende Alben, GSAP Albumcover-Galerie-Animationen - USE CASE: Musiksammler mit gemischt physischer und digitaler Sammlung erhalten eine einheitliche Übersicht ihrer gesamten Diskografie, die Genre-Verteilung zeigt die musikalische Bandbreite der eigenen Sammlung.",
            "overview": "erstelle einen Musiksammlung-Katalog physisch und digital",
            "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "category_number": 3,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Musiksammler mit gemischt physischer und digitaler Sammlung erhalten eine einheitliche Übersicht ihrer gesamten Diskografie, die Genre-Verteilung zeigt die musikalische Bandbreite der eigenen Sammlung.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-626",
            "title": "entwickle eine Brettspiel-Sammlung-Datenbank mit Spielverlauf-Log",
            "prompt_number": 626,
            "prompt": "entwickle eine Brettspiel-Sammlung-Datenbank mit Spielverlauf-Log - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brettspiel-Stammdaten Titel/Verlag/Spieleranzahl/Spieldauer/Komplexitätsgrad, Spielverlauf-Log wer hat wann gegen wen gewonnen, Erweiterungs-Verknüpfung Grundspiel und Erweiterungen, Zustands-Dokumentation Vollständigkeit der Spielteile, Volltextsuche mit Filtern nach Spieleranzahl/Dauer/Genre, Sortierbare Ansicht nach Komplexität/Spielanzahl/Bewertung, Verknüpfung zwischen Grundspielen und deren Erweiterungen, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Spielhäufigkeits-und-Gewinnstatistik (ApexCharts Balken), Spieleabend-Vorschlag basierend auf Teilnehmerzahl, GSAP Spielschachtel-Regal-Animationen - USE CASE: Brettspiel-Enthusiasten mit großer Sammlung finden schnell ein passendes Spiel für die aktuelle Gruppengröße, die Gewinnstatistik sorgt für unterhaltsamen Gesprächsstoff an Spieleabenden.",
            "overview": "entwickle eine Brettspiel-Sammlung-Datenbank mit Spielverlauf-Log",
            "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "category_number": 3,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Brettspiel-Enthusiasten mit großer Sammlung finden schnell ein passendes Spiel für die aktuelle Gruppengröße, die Gewinnstatistik sorgt für unterhaltsamen Gesprächsstoff an Spieleabenden.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-627",
            "title": "programmiere eine Comic- und Manga-Sammlung-Datenbank",
            "prompt_number": 627,
            "prompt": "programmiere eine Comic- und Manga-Sammlung-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Comic-Stammdaten Titel/Ausgabe-Nummer/Verlag/Zeichner/Zustand, Serien-Verknüpfung fortlaufende Ausgaben einer Reihe, Sammelband-Zuordnung Einzelhefte zu Sammelband, Zustandsgrad-Dokumentation mit Fotos, Volltextsuche mit Filtern nach Serie/Verlag/Zustand, Sortierbare Ansicht nach Ausgabe-Nummer/Wert/Zustand, Verknüpfung zwischen Einzelheften und Sammelbänden, Duplikat-Erkennung gleiche Ausgabe mehrfach, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Sammlungslücken-Anzeige fehlende Ausgaben einer Serie, Wertentwicklung seltener Ausgaben (ApexCharts Line), GSAP Comic-Cover-Blätter-Animationen - USE CASE: Comic- und Manga-Sammler behalten bei fortlaufenden Serien den Überblick über fehlende Ausgaben, die Wertentwicklung seltener Erstausgaben unterstützt Kauf- und Verkaufsentscheidungen.",
            "overview": "programmiere eine Comic- und Manga-Sammlung-Datenbank",
            "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "category_number": 3,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Comic- und Manga-Sammler behalten bei fortlaufenden Serien den Überblick über fehlende Ausgaben, die Wertentwicklung seltener Erstausgaben unterstützt Kauf- und Verkaufsentscheidungen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-628",
            "title": "baue eine Videospiel-Sammlung-Datenbank mit Backlog-Statistik",
            "prompt_number": 628,
            "prompt": "baue eine Videospiel-Sammlung-Datenbank mit Backlog-Statistik - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Spiel-Stammdaten Titel/Plattform/Genre/Erscheinungsjahr/Vollständigkeit-OVP, Spielstatus durchgespielt/angefangen/ungespielt, Spielzeit-Tracking-Mockup Stunden investiert, Plattform-Zuordnung physisch/digital pro Konsole, Volltextsuche mit Filtern nach Plattform/Genre/Status, Sortierbare Ansicht nach Spielzeit/Bewertung/Erscheinungsjahr, Verknüpfung zwischen Spielen derselben Reihe, Duplikat-Erkennung gleicher Titel mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Backlog-Statistik ungespielte-vs-gespielte-Spiele (ApexCharts Donut), Wertsteigerung seltener Retro-Titel, GSAP Spielregal-Animationen - USE CASE: Gamer mit großem Backlog behalten den Überblick was noch gespielt werden will versus bereits abgeschlossen ist, Sammler von Retro-Spielen dokumentieren Vollständigkeit und Wert physischer Editionen.",
            "overview": "baue eine Videospiel-Sammlung-Datenbank mit Backlog-Statistik",
            "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "category_number": 3,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Gamer mit großem Backlog behalten den Überblick was noch gespielt werden will versus bereits abgeschlossen ist, Sammler von Retro-Spielen dokumentieren Vollständigkeit und Wert physischer Editionen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-629",
            "title": "erstelle eine Podcast-Bibliothek-Datenbank mit Hörfortschritt",
            "prompt_number": 629,
            "prompt": "erstelle eine Podcast-Bibliothek-Datenbank mit Hörfortschritt - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Podcast-Stammdaten Titel/Host/Kategorie/Episodenanzahl/Abo-Status, Episoden-Fortschritt gehört/ungehört pro Sendung, Lieblingsepisoden-Kennzeichnung mit Notizen, Veröffentlichungsrhythmus-Tracking wöchentlich/unregelmäßig, Volltextsuche mit Filtern nach Kategorie/Abo-Status/Sprache, Sortierbare Ansicht nach Episodenanzahl/zuletzt-gehört, Verknüpfung zwischen ähnlichen Podcasts derselben Kategorie, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Bibliothek, Hörzeit-Statistik nach Kategorie (ApexCharts Balken), Neue-Episode-Erinnerung, GSAP Episoden-Liste-Animationen - USE CASE: Podcast-Hörer mit vielen Abonnements behalten den Hörfortschritt über alle Sendungen zentral im Blick, die Hörzeit-Statistik zeigt welche Themengebiete tatsächlich am meisten Zeit beanspruchen.",
            "overview": "erstelle eine Podcast-Bibliothek-Datenbank mit Hörfortschritt",
            "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "category_number": 3,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Podcast-Hörer mit vielen Abonnements behalten den Hörfortschritt über alle Sendungen zentral im Blick, die Hörzeit-Statistik zeigt welche Themengebiete tatsächlich am meisten Zeit beanspruchen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-630",
            "title": "entwickle ein Zeitschriften-Abo-Archiv mit Ausgaben-Verwaltung",
            "prompt_number": 630,
            "prompt": "entwickle ein Zeitschriften-Abo-Archiv mit Ausgaben-Verwaltung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeitschriften-Stammdaten Titel/Verlag/Erscheinungsrhythmus/Abo-Laufzeit, Ausgaben-Archiv einzelne Hefte mit Erscheinungsdatum, Artikel-Highlights-Notizen pro Ausgabe, Abo-Kosten-Tracking über Zeit, Volltextsuche mit Filtern nach Titel/Kategorie/Jahr, Sortierbare Ansicht nach Erscheinungsdatum/Kategorie, Verknüpfung zwischen Ausgaben und aufbewahrten Artikeln, Duplikat-Erkennung gleiche Ausgabe mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Abo-Kosten-Entwicklung über Jahre (ApexCharts Line), Kündigungs-Erinnerung vor automatischer Verlängerung, GSAP Archiv-Regal-Animationen - USE CASE: Vielleser mehrerer Zeitschriften-Abos behalten Kosten und interessante Artikel über Jahre archiviert, die Kündigungs-Erinnerung verhindert unerwünschte automatische Verlängerungen ungenutzter Abos. ## Kategorie 4: REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "overview": "entwickle ein Zeitschriften-Abo-Archiv mit Ausgaben-Verwaltung",
            "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
            "category_number": 3,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Vielleser mehrerer Zeitschriften-Abos behalten Kosten und interessante Artikel über Jahre archiviert, die Kündigungs-Erinnerung verhindert unerwünschte automatische Verlängerungen ungenutzter Abos. ## Kategorie 4: REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-631",
            "title": "programmiere eine Rezept-Datenbank mit Zutaten-basierter Suche",
            "prompt_number": 631,
            "prompt": "programmiere eine Rezept-Datenbank mit Zutaten-basierter Suche - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten Titel/Zutatenliste/Zubereitungsschritte/Kochzeit/Portionen, Zutaten-basierte-Suche was kann ich mit vorhandenen Zutaten kochen, Kategorisierung nach Küche/Diät/Anlass, Bewertungs-und-Notizfeld nach dem Nachkochen, Volltextsuche mit Filtern nach Zutat/Kategorie/Zubereitungszeit, Sortierbare Ansicht nach Bewertung/Zubereitungszeit/Häufigkeit, Verknüpfung zwischen Rezepten und Zutaten-Datensätzen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Rezeptdatenbank, Meistgekochte-Rezepte-Statistik (ApexCharts Balken), Portionsgrößen-Umrechner, GSAP Rezeptkarten-Flip-Animationen - USE CASE: Hobbyköche mit wachsender Rezeptsammlung finden anhand vorhandener Zutaten sofort passende Gerichte, die Meistgekocht-Statistik zeigt welche Rezepte sich als Familienfavoriten etabliert haben.",
            "overview": "programmiere eine Rezept-Datenbank mit Zutaten-basierter Suche",
            "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "category_number": 4,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Hobbyköche mit wachsender Rezeptsammlung finden anhand vorhandener Zutaten sofort passende Gerichte, die Meistgekocht-Statistik zeigt welche Rezepte sich als Familienfavoriten etabliert haben.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-632",
            "title": "baue eine Essensplanungs-Datenbank verknüpft mit der Rezeptdatenbank",
            "prompt_number": 632,
            "prompt": "baue eine Essensplanungs-Datenbank verknüpft mit der Rezeptdatenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochenplan-Ansicht Frühstück/Mittag/Abend pro Tag, Verknüpfung jedes Planeintrags zu einem Rezept-Datensatz, Automatische-Einkaufsliste-Generierung aus geplanten Rezepten, Nährwert-Summe pro Tag aus verknüpften Rezepten, Volltextsuche mit Filtern nach Rezepttyp/Diät/Woche, Sortierbare Ansicht nach Datum/Mahlzeittyp, Verknüpfung zwischen Wochenplänen und Vorratsdatenbank, Duplikat-Erkennung doppelte Planung gleicher Slot, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Wochenplan-Abwechslungs-Statistik Rezept-Wiederholungsrate (ApexCharts), Resteverwertungs-Vorschlag, GSAP Wochenplan-Drag-Animationen - USE CASE: Familien planen ihre Mahlzeiten für die ganze Woche im Voraus und sparen durch die automatische Einkaufsliste Zeit im Supermarkt, die Verknüpfung zur Rezeptdatenbank verhindert eintönige Wiederholungen.",
            "overview": "baue eine Essensplanungs-Datenbank verknüpft mit der Rezeptdatenbank",
            "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "category_number": 4,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Familien planen ihre Mahlzeiten für die ganze Woche im Voraus und sparen durch die automatische Einkaufsliste Zeit im Supermarkt, die Verknüpfung zur Rezeptdatenbank verhindert eintönige Wiederholungen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-633",
            "title": "erstelle eine Vorrats-Datenbank mit Ablaufverfolgung gegen Lebensmittelverschwendung",
            "prompt_number": 633,
            "prompt": "erstelle eine Vorrats-Datenbank mit Ablaufverfolgung gegen Lebensmittelverschwendung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorrats-Stammdaten Artikel/Menge/Lagerort/Mindesthaltbarkeitsdatum, Ablauf-Ampel bald-ablaufend/abgelaufen mit Sortierung, Lagerort-Zuordnung Kühlschrank/Vorratskammer/Gefrierschrank, Verbrauchs-Historie wann wurde Artikel aufgebraucht, Volltextsuche mit Filtern nach Lagerort/Kategorie/Ablaufstatus, Sortierbare Ansicht nach Ablaufdatum/Menge/Lagerort, Verknüpfung zu Rezepten die den Artikel verwenden, Duplikat-Erkennung gleicher Artikel mehrfach erfasst mit Mengen-Zusammenführung, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Einkaufsliste, Backup/Restore gesamter Vorratsbestand, Lebensmittelverschwendungs-Statistik abgelaufene-vs-verbrauchte-Artikel (ApexCharts), Nachkauf-Erinnerung bei Mindestbestand, GSAP Ablauf-Warnungs-Animationen - USE CASE: Haushalte reduzieren Lebensmittelverschwendung durch rechtzeitige Ablauf-Warnungen und Rezeptvorschläge für bald ablaufende Zutaten, die Verschwendungsstatistik motiviert zu bewussterem Einkaufsverhalten.",
            "overview": "erstelle eine Vorrats-Datenbank mit Ablaufverfolgung gegen Lebensmittelverschwendung",
            "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "category_number": 4,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Haushalte reduzieren Lebensmittelverschwendung durch rechtzeitige Ablauf-Warnungen und Rezeptvorschläge für bald ablaufende Zutaten, die Verschwendungsstatistik motiviert zu bewussterem Einkaufsverhalten.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-634",
            "title": "entwickle eine Ernährungs-Log-Datenbank mit Makronährstoff-Tracking",
            "prompt_number": 634,
            "prompt": "entwickle eine Ernährungs-Log-Datenbank mit Makronährstoff-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mahlzeiten-Log-Stammdaten Datum/Mahlzeit/Lebensmittel/Menge/Kalorien, Nährwert-Datenbank verknüpft Kalorien/Protein/Fett/Kohlenhydrate pro Lebensmittel, Tages-und-Wochen-Nährwertbilanz, Zielwert-Vergleich persönliches Kalorienziel, Volltextsuche mit Filtern nach Lebensmittel/Datum/Mahlzeittyp, Sortierbare Ansicht nach Datum/Kalorienmenge, Verknüpfung zwischen Log-Einträgen und Rezeptdatenbank, Duplikat-Erkennung gleicher Eintrag am selben Tag, Datenvalidierung Pflichtfelder und Mengenformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore-Funktion, Nährwert-Trend über Wochen (ApexCharts Line), Makronährstoff-Verteilung (ApexCharts Donut), GSAP Tagesbilanz-Animationen - USE CASE: Ernährungsbewusste Nutzer dokumentieren ihre tägliche Nahrungsaufnahme strukturiert zur Erreichung persönlicher Ziele, der Trend über Wochen zeigt ob die Ernährungsumstellung tatsächlich greift.",
            "overview": "entwickle eine Ernährungs-Log-Datenbank mit Makronährstoff-Tracking",
            "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "category_number": 4,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Ernährungsbewusste Nutzer dokumentieren ihre tägliche Nahrungsaufnahme strukturiert zur Erreichung persönlicher Ziele, der Trend über Wochen zeigt ob die Ernährungsumstellung tatsächlich greift.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-635",
            "title": "programmiere eine Familienrezepte-Erbe-Datenbank über Generationen",
            "prompt_number": 635,
            "prompt": "programmiere eine Familienrezepte-Erbe-Datenbank über Generationen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten Titel/Herkunft-Familienmitglied/Generation/Anlass, Geschichten-Feld zur Herkunft und Bedeutung des Rezepts, Foto-Anhang handschriftliche Original-Rezeptkarten, Generationen-Verknüpfung wer hat Rezept an wen weitergegeben, Volltextsuche mit Filtern nach Familienzweig/Generation/Anlass, Sortierbare Ansicht nach Generation/Herkunftsperson, Verknüpfung zwischen Varianten desselben Grundrezepts über Generationen, Duplikat-Erkennung ähnlicher Rezepttitel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Familienkochbuch-Druck, Backup/Restore gesamtes Familienarchiv, Herkunfts-Verteilung nach Familienzweig (ApexCharts Treemap), Familienkochbuch-Export-Vorschau, GSAP Generationenkarten-Animationen - USE CASE: Familien bewahren überlieferte Rezepte samt ihrer Entstehungsgeschichte digital für kommende Generationen, das Familienkochbuch-Export-Feature ermöglicht ein gedrucktes Erbstück zu besonderen Anlässen.",
            "overview": "programmiere eine Familienrezepte-Erbe-Datenbank über Generationen",
            "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "category_number": 4,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Familien bewahren überlieferte Rezepte samt ihrer Entstehungsgeschichte digital für kommende Generationen, das Familienkochbuch-Export-Feature ermöglicht ein gedrucktes Erbstück zu besonderen Anlässen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-636",
            "title": "baue eine Restaurant-Favoriten-Reservierungs-Datenbank",
            "prompt_number": 636,
            "prompt": "baue eine Restaurant-Favoriten-Reservierungs-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Restaurant-Stammdaten Name/Küche/Preisklasse/Adresse-Mockup, Besuchs-Historie mit Datum und Anlass, Bewertungs-und-Notizfeld Lieblingsgerichte pro Restaurant, Reservierungs-Tracking-Mockup kommende Reservierungen, Volltextsuche mit Filtern nach Küche/Preisklasse/Bewertung, Sortierbare Ansicht nach Bewertung/letztem-Besuch/Preisklasse, Verknüpfung zwischen Besuchen und begleitenden Personen, Duplikat-Erkennung gleiches Restaurant mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Besuchshäufigkeits-Statistik nach Küche (ApexCharts), Wiederbesuchs-Erinnerung lange nicht besucht, GSAP Restaurant-Karten-Animationen - USE CASE: Genießer mit vielen Lieblingsrestaurants behalten Bewertungen und Lieblingsgerichte übersichtlich fest statt sich auf die Erinnerung zu verlassen, die Wiederbesuchs-Erinnerung bringt vergessene Favoriten zurück ins Bewusstsein.",
            "overview": "baue eine Restaurant-Favoriten-Reservierungs-Datenbank",
            "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "category_number": 4,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Genießer mit vielen Lieblingsrestaurants behalten Bewertungen und Lieblingsgerichte übersichtlich fest statt sich auf die Erinnerung zu verlassen, die Wiederbesuchs-Erinnerung bringt vergessene Favoriten zurück ins Bewusstsein.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-637",
            "title": "erstelle eine Allergen-Diät-Rezeptfilter-Datenbank für Familien",
            "prompt_number": 637,
            "prompt": "erstelle eine Allergen-Diät-Rezeptfilter-Datenbank für Familien - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten mit Allergen-Kennzeichnung Gluten/Laktose/Nüsse/Histamin, Diät-Kompatibilitäts-Tags Vegan/Vegetarisch/Low-Carb/FODMAP, Zutaten-Ersatz-Vorschläge bei Unverträglichkeit, Personen-Profile mit individuellen Unverträglichkeiten verknüpft zu passenden Rezepten, Volltextsuche mit Filtern nach Allergen-Ausschluss/Diät-Typ, Sortierbare Ansicht nach Verträglichkeit/Zubereitungszeit, Verknüpfung zwischen Rezepten und Personenprofilen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder und Allergen-Kennzeichnungs-Pflicht, Import/Export CSV/JSON, Backup/Restore gesamte Datenbank, Verträglichkeits-Abdeckung-Statistik pro Familienmitglied (ApexCharts), Notfall-Zutatenliste-Warnung, GSAP Allergen-Kennzeichnungs-Animationen - USE CASE: Familien mit mehreren unterschiedlichen Lebensmittelunverträglichkeiten finden sicher geeignete Rezepte für alle Mitglieder gleichzeitig, die Notfall-Warnung verhindert versehentliche Verwendung kritischer Allergene.",
            "overview": "erstelle eine Allergen-Diät-Rezeptfilter-Datenbank für Familien",
            "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "category_number": 4,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Familien mit mehreren unterschiedlichen Lebensmittelunverträglichkeiten finden sicher geeignete Rezepte für alle Mitglieder gleichzeitig, die Notfall-Warnung verhindert versehentliche Verwendung kritischer Allergene.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-638",
            "title": "entwickle eine Hausgebrautes-Fermentations-Rezeptdatenbank mit Batch-Log",
            "prompt_number": 638,
            "prompt": "entwickle eine Hausgebrautes-Fermentations-Rezeptdatenbank mit Batch-Log - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Braurezept-Stammdaten Bierstil/Zutaten/Gärtemperatur/Reifezeit, Batch-Tracking-Log pro Sud mit Messwerten Stammwürze/Alkoholgehalt, Fermentations-Zeitplan-Erinnerung Umfüll-und-Abfüll-Termine, Geschmacksbewertung-Historie pro Batch, Volltextsuche mit Filtern nach Bierstil/Zutat/Batch-Status, Sortierbare Ansicht nach Reifedatum/Bewertung/Batch-Nummer, Verknüpfung zwischen Rezept-Vorlage und tatsächlichen Batches, Duplikat-Erkennung ähnlicher Rezeptnamen, Datenvalidierung Pflichtfelder und Messwert-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamtes Braulogbuch, Batch-Erfolgsquote-Statistik über Zeit (ApexCharts Line), Zutaten-Vorrats-Verknüpfung, GSAP Gärverlauf-Animationen - USE CASE: Hobbybrauer dokumentieren jeden Sud mit exakten Messwerten für reproduzierbare Ergebnisse, die Erfolgsquoten-Statistik zeigt über die Zeit welche Rezeptanpassungen tatsächlich zu besseren Bieren führen.",
            "overview": "entwickle eine Hausgebrautes-Fermentations-Rezeptdatenbank mit Batch-Log",
            "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "category_number": 4,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Hobbybrauer dokumentieren jeden Sud mit exakten Messwerten für reproduzierbare Ergebnisse, die Erfolgsquoten-Statistik zeigt über die Zeit welche Rezeptanpassungen tatsächlich zu besseren Bieren führen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-639",
            "title": "programmiere eine Back-Rezeptdatenbank mit Mengen-Umrechner",
            "prompt_number": 639,
            "prompt": "programmiere eine Back-Rezeptdatenbank mit Mengen-Umrechner - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Back-Rezept-Stammdaten Kuchenart/Zutaten/Backzeit/Temperatur, Mengen-Umrechner Portionsgröße und Einheiten Gramm/Cup/Milliliter, Backtest-Historie mit Foto und Erfolgsbewertung, Zutatensubstitutions-Vorschläge bei fehlenden Zutaten, Volltextsuche mit Filtern nach Kuchenart/Anlass/Schwierigkeitsgrad, Sortierbare Ansicht nach Bewertung/Backzeit/Häufigkeit, Verknüpfung zwischen Grundrezepten und Variationen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder und Mengenformat, Import/Export CSV/JSON, Backup/Restore gesamte Rezeptdatenbank, Meistgebackene-Rezepte-Statistik nach Anlass (ApexCharts), Anlass-basierte-Vorschläge Geburtstag/Weihnachten, GSAP Backofen-Timer-Animationen - USE CASE: Hobbybäcker mit wachsender Rezeptsammlung rechnen Mengen zuverlässig für unterschiedliche Portionsgrößen um, die Anlass-basierten Vorschläge erleichtern die Auswahl des passenden Kuchens für jeden Termin.",
            "overview": "programmiere eine Back-Rezeptdatenbank mit Mengen-Umrechner",
            "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "category_number": 4,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Hobbybäcker mit wachsender Rezeptsammlung rechnen Mengen zuverlässig für unterschiedliche Portionsgrößen um, die Anlass-basierten Vorschläge erleichtern die Auswahl des passenden Kuchens für jeden Termin.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-640",
            "title": "baue eine Gewürz-und-Kräuter-Inventar-Datenbank verknüpft mit Rezepten",
            "prompt_number": 640,
            "prompt": "baue eine Gewürz-und-Kräuter-Inventar-Datenbank verknüpft mit Rezepten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gewürz-Stammdaten Name/Menge/Kaufdatum/Haltbarkeit/Herkunft, Aroma-Profil-Tags scharf/süß/erdig für Kombinationsvorschläge, Nachfüll-Erinnerung bei niedrigem Bestand, Verwendungs-Historie welche Rezepte nutzen welches Gewürz, Volltextsuche mit Filtern nach Kategorie/Haltbarkeitsstatus/Menge, Sortierbare Ansicht nach Haltbarkeit/Verwendungshäufigkeit, Verknüpfung zwischen Gewürzen und Rezeptdatenbank, Duplikat-Erkennung gleiches Gewürz mehrfach mit Mengen-Zusammenführung, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore-Funktion, Verwendungshäufigkeits-Statistik meistgenutzte-Gewürze (ApexCharts), Gewürzmischungs-Rezept-Generator, GSAP Gewürzregal-Animationen - USE CASE: Hobbyköche mit umfangreichem Gewürzregal behalten Frische und Nutzung jedes einzelnen Gewürzes im Blick, die Verwendungsstatistik hilft gezielt neue Rezepte für selten genutzte Gewürze zu finden. ## Kategorie 5: WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "overview": "baue eine Gewürz-und-Kräuter-Inventar-Datenbank verknüpft mit Rezepten",
            "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
            "category_number": 4,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Hobbyköche mit umfangreichem Gewürzregal behalten Frische und Nutzung jedes einzelnen Gewürzes im Blick, die Verwendungsstatistik hilft gezielt neue Rezepte für selten genutzte Gewürze zu finden. ## Kategorie 5: WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-641",
            "title": "erstelle eine persönliche Wissensdatenbank/Wiki mit Verlinkungs-Graph",
            "prompt_number": 641,
            "prompt": "erstelle eine persönliche Wissensdatenbank/Wiki mit Verlinkungs-Graph - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wissenseintrag-Stammdaten Titel/Kategorie/Inhalt/Tags/Quelle, Verlinkung zwischen zusammenhängenden Wiki-Seiten Wikilinks, Versionshistorie bei Bearbeitung von Einträgen, Wissens-Graph-Visualisierung Verknüpfungen zwischen Themen (D3.js Force-Graph), Volltextsuche mit Filtern nach Kategorie/Tag/Erstelldatum, Sortierbare Ansicht nach Zugriffshäufigkeit/Aktualität, Verknüpfung zwischen verwandten Einträgen, Duplikat-Erkennung ähnlicher Themen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export Markdown/CSV/JSON, Backup/Restore gesamtes Wiki, Wissensgebiet-Verteilung nach Kategorie (ApexCharts Treemap), Verwaiste-Seiten-Erkennung ohne Verlinkung, GSAP Graph-Navigations-Animationen - USE CASE: Wissensarbeiter bauen sich ein persönliches vernetztes Nachschlagewerk auf statt verstreuter Notizen in verschiedenen Tools, der Wissens-Graph macht unerwartete Zusammenhänge zwischen eigenen Notizen sichtbar.",
            "overview": "erstelle eine persönliche Wissensdatenbank/Wiki mit Verlinkungs-Graph",
            "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "category_number": 5,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Wissensarbeiter bauen sich ein persönliches vernetztes Nachschlagewerk auf statt verstreuter Notizen in verschiedenen Tools, der Wissens-Graph macht unerwartete Zusammenhänge zwischen eigenen Notizen sichtbar.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-642",
            "title": "entwickle eine Fachbegriff-Glossar-Datenbank pro Fachgebiet",
            "prompt_number": 642,
            "prompt": "entwickle eine Fachbegriff-Glossar-Datenbank pro Fachgebiet - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Begriff-Stammdaten Terminus/Definition/Fachgebiet/Quelle/Beispielsatz, Fachgebiets-Kategorisierung Medizin/Recht/Technik-konfigurierbar, Synonym-und-Abgrenzungs-Verknüpfung ähnliche Begriffe, Verständnis-Level-Kennzeichnung Grundlagen/Fortgeschritten, Volltextsuche mit Filtern nach Fachgebiet/Anfangsbuchstabe, Sortierbare Ansicht alphabetisch/nach-Fachgebiet, Verknüpfung zwischen verwandten Fachbegriffen, Duplikat-Erkennung ähnlicher Begriffe, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Weitergabe an Kollegen, Backup/Restore gesamtes Glossar, Begriffsverteilung nach Fachgebiet (ApexCharts Balken), Lernkarten-Modus zum Abfragen, GSAP Karteikarten-Umblätter-Animationen - USE CASE: Fachleute und Studierende bauen sich ein eigenes durchsuchbares Fachwörterbuch für ihr Spezialgebiet auf, der Lernkarten-Modus unterstützt aktiv das Einprägen komplexer Terminologie vor Prüfungen.",
            "overview": "entwickle eine Fachbegriff-Glossar-Datenbank pro Fachgebiet",
            "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "category_number": 5,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Fachleute und Studierende bauen sich ein eigenes durchsuchbares Fachwörterbuch für ihr Spezialgebiet auf, der Lernkarten-Modus unterstützt aktiv das Einprägen komplexer Terminologie vor Prüfungen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-643",
            "title": "programmiere eine Zitat-Sammlung-Datenbank mit Präsentations-Export",
            "prompt_number": 643,
            "prompt": "programmiere eine Zitat-Sammlung-Datenbank mit Präsentations-Export - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zitat-Stammdaten Text/Autor/Quelle/Kontext/Themengebiet, Themen-Tag-System Motivation/Führung/Kreativität, Persönliche-Bewertung-und-Verwendungszweck-Notiz, Zitat-des-Tages-Anzeige zufällig aus der Sammlung, Volltextsuche mit Filtern nach Autor/Thema/Sprache, Sortierbare Ansicht nach Autor/Hinzufügedatum/Beliebtheit, Verknüpfung zwischen Zitaten desselben Autors oder Themas, Duplikat-Erkennung ähnlicher Zitat-Texte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Präsentationsvorbereitung, Backup/Restore gesamte Sammlung, Themenverteilung-Statistik (ApexCharts Donut), Präsentations-Export-Vorschau formatierte Zitatkarten, GSAP Zitatkarten-Einblend-Animationen - USE CASE: Redner und Autoren sammeln inspirierende Zitate systematisch für spätere Reden und Texte statt sie beim Bedarf mühsam neu zu suchen, der Präsentations-Export liefert sofort einsatzbereite Folien-Vorlagen.",
            "overview": "programmiere eine Zitat-Sammlung-Datenbank mit Präsentations-Export",
            "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "category_number": 5,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Redner und Autoren sammeln inspirierende Zitate systematisch für spätere Reden und Texte statt sie beim Bedarf mühsam neu zu suchen, der Präsentations-Export liefert sofort einsatzbereite Folien-Vorlagen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-644",
            "title": "baue eine Forschungs-Zitier-Datenbank als Bibliographie-Manager",
            "prompt_number": 644,
            "prompt": "baue eine Forschungs-Zitier-Datenbank als Bibliographie-Manager - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Quellen-Stammdaten Autor/Titel/Jahr/Publikationsort/DOI-Mockup, Zitierstil-Generator APA/MLA/Chicago automatisch formatiert, Volltext-Notizen-und-Zitat-Sammlung pro Quelle, Projekt-Zuordnung welche Quellen für welche Arbeit verwendet, Volltextsuche mit Filtern nach Autor/Jahr/Projekt/Publikationstyp, Sortierbare Ansicht nach Jahr/Autor/Zitierhäufigkeit, Verknüpfung zwischen zitierenden und zitierten Quellen, Duplikat-Erkennung gleiche Publikation mehrfach erfasst, Datenvalidierung Pflichtfelder und DOI-Format, Import/Export BibTeX/CSV/JSON, Backup/Restore gesamte Literaturdatenbank, Quellen-Verteilung nach Publikationsjahr (ApexCharts Line), Literaturverzeichnis-Export für Abschlussarbeit, GSAP Quellenkarten-Animationen - USE CASE: Studierende und Forschende verwalten hunderte Quellen für ihre Abschlussarbeit strukturiert statt in unübersichtlichen Word-Dokumenten, der automatische Zitierstil-Generator spart bei jeder Quellenangabe wertvolle Zeit.",
            "overview": "baue eine Forschungs-Zitier-Datenbank als Bibliographie-Manager",
            "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "category_number": 5,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Studierende und Forschende verwalten hunderte Quellen für ihre Abschlussarbeit strukturiert statt in unübersichtlichen Word-Dokumenten, der automatische Zitierstil-Generator spart bei jeder Quellenangabe wertvolle Zeit.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-645",
            "title": "erstelle eine Lernkarten-Notizen-Datenbank je Schulfach mit Spaced-Repetition",
            "prompt_number": 645,
            "prompt": "erstelle eine Lernkarten-Notizen-Datenbank je Schulfach mit Spaced-Repetition - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karteikarten-Stammdaten Frage/Antwort/Fach/Schwierigkeitsgrad, Spaced-Repetition-Algorithmus-Mockup Wiederholungsintervalle nach Erfolg, Fach-Kategorisierung mit Unterthemen-Hierarchie, Lernfortschritts-Tracking pro Karte gewusst/nicht-gewusst-Historie, Volltextsuche mit Filtern nach Fach/Schwierigkeit/Lernstatus, Sortierbare Ansicht nach nächster-Wiederholung/Erfolgsquote, Verknüpfung zwischen Karten desselben Themenblocks, Duplikat-Erkennung ähnlicher Fragen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Karten-Austausch, Backup/Restore gesamter Kartensatz, Lernfortschritt-Statistik pro Fach (ApexCharts Radar), Prüfungsmodus zufällige Abfrage, GSAP Karten-Umdreh-Animationen - USE CASE: Schüler und Studierende bereiten sich mit einem selbst erstellten Karteikartensystem effizient auf Prüfungen vor, die Spaced-Repetition-Logik sorgt dafür dass schwierige Karten häufiger wiederholt werden.",
            "overview": "erstelle eine Lernkarten-Notizen-Datenbank je Schulfach mit Spaced-Repetition",
            "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "category_number": 5,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Schüler und Studierende bereiten sich mit einem selbst erstellten Karteikartensystem effizient auf Prüfungen vor, die Spaced-Repetition-Logik sorgt dafür dass schwierige Karten häufiger wiederholt werden.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-646",
            "title": "entwickle eine Notfallordner-Dokumentendatenbank für wichtige Verträge",
            "prompt_number": 646,
            "prompt": "entwickle eine Notfallordner-Dokumentendatenbank für wichtige Verträge - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokument-Stammdaten Kategorie-Versicherung/Verträge/Konten/Testament-Hinweis/Fälligkeit, Verknüpfung zu wichtigen Kontaktpersonen Notar/Bank/Versicherung, Zugriffsberechtigungs-Kennzeichnung wer im Ernstfall Zugriff haben soll, Fälligkeits-Erinnerung für Vertragsverlängerungen, Volltextsuche mit Filtern nach Kategorie/Fälligkeit, Sortierbare Ansicht nach Kategorie/Fälligkeitsdatum, Verknüpfung zwischen Dokumenten und zuständigen Ansprechpartnern, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Notfallordner-Druck, Backup/Restore gesamte Dokumentenübersicht, Vollständigkeits-Check-Dashboard fehlende Kategorien (ApexCharts Gauge), Notfallordner-Druckvorschau, GSAP Dokumentenmappe-Animationen, HINWEIS im Code: reines lokales Ordnungssystem ohne Speicherung sensibler Zugangsdaten selbst - USE CASE: Haushalte legen einen strukturierten Überblick wichtiger Verträge und Zuständigkeiten für den Ernstfall oder Erbfall an, Angehörige finden im Notfall sofort alle relevanten Ansprechpartner statt tagelang suchen zu müssen.",
            "overview": "entwickle eine Notfallordner-Dokumentendatenbank für wichtige Verträge",
            "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "category_number": 5,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Haushalte legen einen strukturierten Überblick wichtiger Verträge und Zuständigkeiten für den Ernstfall oder Erbfall an, Angehörige finden im Notfall sofort alle relevanten Ansprechpartner statt tagelang suchen zu müssen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-647",
            "title": "programmiere eine Vertragsvorlagen-Referenzdatenbank mit Klausel-Bibliothek",
            "prompt_number": 647,
            "prompt": "programmiere eine Vertragsvorlagen-Referenzdatenbank mit Klausel-Bibliothek - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vertragsvorlage-Stammdaten Typ/Verwendungszweck/Rechtsgebiet/letzte-Aktualisierung, Klausel-Bibliothek wiederverwendbare Textbausteine, Versions-Historie pro Vorlage bei Änderungen, Verwendungs-Tracking welche Vorlage wie oft genutzt, Volltextsuche mit Filtern nach Rechtsgebiet/Verwendungszweck, Sortierbare Ansicht nach Aktualität/Nutzungshäufigkeit, Verknüpfung zwischen Vorlagen und verwendeten Klauselbausteinen, Duplikat-Erkennung ähnlicher Vorlagen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Word-Mockup, Backup/Restore gesamte Vorlagenbibliothek, Nutzungsstatistik pro Vorlagentyp (ApexCharts Balken), Aktualisierungs-Erinnerung bei Rechtsänderungen, GSAP Vorlagen-Vorschau-Animationen - USE CASE: Kleinunternehmer und Freelancer greifen auf eine selbst gepflegte Bibliothek geprüfter Vertragsvorlagen zurück statt jedes Mal neu zu formulieren, die Versions-Historie dokumentiert nachvollziehbar welche Klauseln wann angepasst wurden.",
            "overview": "programmiere eine Vertragsvorlagen-Referenzdatenbank mit Klausel-Bibliothek",
            "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "category_number": 5,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Kleinunternehmer und Freelancer greifen auf eine selbst gepflegte Bibliothek geprüfter Vertragsvorlagen zurück statt jedes Mal neu zu formulieren, die Versions-Historie dokumentiert nachvollziehbar welche Klauseln wann angepasst wurden.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-648",
            "title": "baue eine historische Fakten-Zeitleisten-Referenzdatenbank",
            "prompt_number": 648,
            "prompt": "baue eine historische Fakten-Zeitleisten-Referenzdatenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ereignis-Stammdaten Datum/Titel/Beschreibung/Epoche/Region, Interaktive-Zeitleisten-Visualisierung chronologisch (D3.js Timeline), Themen-Verknüpfung zusammenhängende Ereignisse über Epochen, Quellen-Angabe pro Ereignis, Volltextsuche mit Filtern nach Epoche/Region/Thema, Sortierbare Ansicht chronologisch/nach-Region, Verknüpfung zwischen Ursache-und-Folge-Ereignissen, Duplikat-Erkennung ähnlicher Ereignisse, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore gesamte Faktendatenbank, Ereignisdichte nach Epoche (ApexCharts Balken), Vergleichsmodus parallele Ereignisse verschiedener Regionen, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Geschichtsinteressierte und Lehrkräfte bauen sich eine eigene strukturierte Faktensammlung für Unterricht oder Recherche auf, die interaktive Zeitleiste macht historische Zusammenhänge über Regionen hinweg anschaulich sichtbar.",
            "overview": "baue eine historische Fakten-Zeitleisten-Referenzdatenbank",
            "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "category_number": 5,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Geschichtsinteressierte und Lehrkräfte bauen sich eine eigene strukturierte Faktensammlung für Unterricht oder Recherche auf, die interaktive Zeitleiste macht historische Zusammenhänge über Regionen hinweg anschaulich sichtbar.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-649",
            "title": "erstelle eine Code-Snippet-Referenzdatenbank für Entwickler",
            "prompt_number": 649,
            "prompt": "erstelle eine Code-Snippet-Referenzdatenbank für Entwickler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Snippet-Stammdaten Titel/Programmiersprache/Code/Beschreibung/Anwendungsfall, Syntax-Highlighting pro Sprache, Tag-System Framework/Pattern/Problemtyp, Verwendungs-Historie welches Projekt nutzte welchen Snippet, Volltextsuche mit Filtern nach Sprache/Tag/Projekt, Sortierbare Ansicht nach Sprache/Erstelldatum/Nutzungshäufigkeit, Verknüpfung zwischen verwandten Snippets gleiches Pattern, Duplikat-Erkennung ähnlicher Code-Snippets, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Markdown, Backup/Restore gesamte Snippet-Bibliothek, Snippet-Verteilung nach Sprache (ApexCharts Donut), Schnellkopier-Funktion für Zwischenablage-Mockup, GSAP Code-Block-Einblend-Animationen - USE CASE: Entwickler bauen sich eine persönliche durchsuchbare Sammlung bewährter Code-Lösungen für wiederkehrende Probleme auf statt sie jedes Mal neu zu recherchieren, die Tag-Struktur beschleunigt das Wiederfinden über Projektgrenzen hinweg erheblich.",
            "overview": "erstelle eine Code-Snippet-Referenzdatenbank für Entwickler",
            "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "category_number": 5,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Entwickler bauen sich eine persönliche durchsuchbare Sammlung bewährter Code-Lösungen für wiederkehrende Probleme auf statt sie jedes Mal neu zu recherchieren, die Tag-Struktur beschleunigt das Wiederfinden über Projektgrenzen hinweg erheblich.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-650",
            "title": "entwickle eine Sprachvokabel-Datenbank als persönliches Wörterbuch",
            "prompt_number": 650,
            "prompt": "entwickle eine Sprachvokabel-Datenbank als persönliches Wörterbuch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vokabel-Stammdaten Wort/Übersetzung/Sprache/Wortart/Beispielsatz, Themen-Kategorisierung Reisen/Business/Alltag, Lernfortschritt-Tracking gelernt/in-Wiederholung/neu, Aussprache-Notiz-Feld phonetisch, Volltextsuche mit Filtern nach Sprache/Thema/Lernstatus, Sortierbare Ansicht nach Lernfortschritt/Thema/Alphabet, Verknüpfung zwischen Vokabeln derselben Wortfamilie, Duplikat-Erkennung gleiches Wort mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Lernkarten-Apps, Backup/Restore gesamtes Vokabelheft, Lernfortschritt-Statistik nach Sprache (ApexCharts Radar), Abfrage-Modus zum Selbsttest, GSAP Vokabelkarten-Animationen - USE CASE: Sprachlerner bauen sich ein persönliches digitales Vokabelheft über mehrere Zielsprachen hinweg auf statt loser Zettel, der Abfrage-Modus unterstützt eigenständiges Wiederholen jenseits einer festen Lern-App. ## Kategorie 6: PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "overview": "entwickle eine Sprachvokabel-Datenbank als persönliches Wörterbuch",
            "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
            "category_number": 5,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Sprachlerner bauen sich ein persönliches digitales Vokabelheft über mehrere Zielsprachen hinweg auf statt loser Zettel, der Abfrage-Modus unterstützt eigenständiges Wiederholen jenseits einer festen Lern-App. ## Kategorie 6: PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-651",
            "title": "programmiere eine Ticket-Issue-Tracker-Datenbank nach Bugtracking-Muster",
            "prompt_number": 651,
            "prompt": "programmiere eine Ticket-Issue-Tracker-Datenbank nach Bugtracking-Muster - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ticket-Stammdaten Titel/Beschreibung/Priorität/Status/Zuständigkeit, Status-Workflow Offen/In-Bearbeitung/Review/Geschlossen, Kommentar-Verlauf pro Ticket chronologisch, Verknüpfung zwischen abhängigen Tickets Blocker-Beziehungen, Volltextsuche mit Filtern nach Status/Priorität/Zuständigkeit, Sortierbare Ansicht nach Priorität/Erstelldatum/Fälligkeit, Verknüpfung zu betroffenen Projekten oder Modulen, Duplikat-Erkennung ähnlicher Ticket-Titel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Ticket-Datenbank, Durchlaufzeit-Statistik pro Status (ApexCharts Balken), Burndown-Anzeige offene-vs-geschlossene-Tickets (ApexCharts Line), GSAP Status-Wechsel-Animationen - USE CASE: Kleine Teams verwalten Bugs und Feature-Anfragen strukturiert ohne teures externes Tool, die Durchlaufzeit-Statistik zeigt wo im Workflow Tickets typischerweise stecken bleiben.",
            "overview": "programmiere eine Ticket-Issue-Tracker-Datenbank nach Bugtracking-Muster",
            "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "category_number": 6,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Kleine Teams verwalten Bugs und Feature-Anfragen strukturiert ohne teures externes Tool, die Durchlaufzeit-Statistik zeigt wo im Workflow Tickets typischerweise stecken bleiben.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-652",
            "title": "baue eine Freelancer-Kundenprojekt-Datenbank mit Budget-Tracking",
            "prompt_number": 652,
            "prompt": "baue eine Freelancer-Kundenprojekt-Datenbank mit Budget-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Projekt-Stammdaten Kunde/Projekttitel/Budget/Deadline/Status, Meilenstein-Verwaltung pro Projekt mit Fälligkeit, Verknüpfung zu Kundendatensätzen aus dem CRM, Rechnungsstatus-Tracking pro Projektphase, Volltextsuche mit Filtern nach Kunde/Status/Deadline, Sortierbare Ansicht nach Deadline/Budget/Status, Verknüpfung zwischen Projekten und Zeiterfassungs-Einträgen, Duplikat-Erkennung ähnlicher Projekttitel, Datenvalidierung Pflichtfelder und Budget-Format, Import/Export CSV/JSON für Steuerberater, Backup/Restore gesamte Projektdatenbank, Auslastungs-und-Umsatz-Dashboard pro Monat (ApexCharts), Deadline-Erinnerung bei nahenden Terminen, GSAP Meilenstein-Fortschritts-Animationen - USE CASE: Freelancer behalten bei mehreren parallelen Kundenprojekten Budget und Fristen jederzeit im Blick, das Auslastungs-Dashboard hilft rechtzeitig zu erkennen wann neue Aufträge angenommen werden können.",
            "overview": "baue eine Freelancer-Kundenprojekt-Datenbank mit Budget-Tracking",
            "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "category_number": 6,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Freelancer behalten bei mehreren parallelen Kundenprojekten Budget und Fristen jederzeit im Blick, das Auslastungs-Dashboard hilft rechtzeitig zu erkennen wann neue Aufträge angenommen werden können.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-653",
            "title": "erstelle eine Zeiterfassungs-Datenbank verknüpft mit Projekten",
            "prompt_number": 653,
            "prompt": "erstelle eine Zeiterfassungs-Datenbank verknüpft mit Projekten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zeiteintrag-Stammdaten Projekt/Aufgabe/Startzeit/Endzeit/Beschreibung, Timer-Funktion Start-Stop für laufende Erfassung, Verknüpfung jedes Eintrags zu einem Projekt-Datensatz, Abrechenbarkeit-Kennzeichnung fakturierbar/intern, Volltextsuche mit Filtern nach Projekt/Zeitraum/Abrechenbarkeit, Sortierbare Ansicht nach Datum/Projekt/Dauer, Verknüpfung zwischen Zeiteinträgen und Rechnungen, Duplikat-Erkennung überlappende Zeiteinträge-Warnung, Datenvalidierung Pflichtfelder und Zeitformat-Plausibilität, Import/Export CSV/JSON für Rechnungsstellung, Backup/Restore gesamte Zeiterfassung, Zeitverteilung nach Projekt (ApexCharts Treemap), Wochenarbeitszeit-Trend (ApexCharts Line), GSAP Timer-Animationen - USE CASE: Freelancer und Berater dokumentieren abrechenbare Stunden präzise pro Projekt für korrekte Kundenrechnungen, die Zeitverteilungs-Statistik deckt auf welche Projekte überproportional viel unbezahlten Aufwand verursachen.",
            "overview": "erstelle eine Zeiterfassungs-Datenbank verknüpft mit Projekten",
            "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "category_number": 6,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Freelancer und Berater dokumentieren abrechenbare Stunden präzise pro Projekt für korrekte Kundenrechnungen, die Zeitverteilungs-Statistik deckt auf welche Projekte überproportional viel unbezahlten Aufwand verursachen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-654",
            "title": "entwickle eine Equipment-Checkout-Datenbank für gemeinsam genutzte Team-Ressourcen",
            "prompt_number": 654,
            "prompt": "entwickle eine Equipment-Checkout-Datenbank für gemeinsam genutzte Team-Ressourcen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Equipment-Stammdaten Gerätetyp/Seriennummer/Zustand/Standort, Checkout-Historie wer hat wann welches Gerät ausgeliehen, Verfügbarkeits-Status frei/ausgeliehen/in-Wartung, Reservierungs-Funktion für zukünftigen Bedarf, Volltextsuche mit Filtern nach Gerätetyp/Status/Standort, Sortierbare Ansicht nach Verfügbarkeit/letzter-Nutzung, Verknüpfung zwischen Geräten und ausleihenden Teammitgliedern, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Rückgabedatum-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamte Equipment-Datenbank, Auslastungsstatistik pro Gerät (ApexCharts Balken), Überfällige-Rückgabe-Warnung, GSAP Checkout-Status-Animationen - USE CASE: Teams mit gemeinsam genutzter Ausrüstung wie Kameras oder Laptops behalten jederzeit den Überblick wer was gerade nutzt, die Auslastungsstatistik zeigt ob zusätzliche Geräte angeschafft werden sollten.",
            "overview": "entwickle eine Equipment-Checkout-Datenbank für gemeinsam genutzte Team-Ressourcen",
            "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "category_number": 6,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Teams mit gemeinsam genutzter Ausrüstung wie Kameras oder Laptops behalten jederzeit den Überblick wer was gerade nutzt, die Auslastungsstatistik zeigt ob zusätzliche Geräte angeschafft werden sollten.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-655",
            "title": "programmiere eine Aufgaben-Datenbank mit Abhängigkeits-Graph",
            "prompt_number": 655,
            "prompt": "programmiere eine Aufgaben-Datenbank mit Abhängigkeits-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Aufgaben-Stammdaten Titel/Beschreibung/Fälligkeit/Priorität/Status, Abhängigkeits-Verknüpfung Aufgabe-B-kann-erst-nach-Aufgabe-A-starten, Abhängigkeits-Graph-Visualisierung (D3.js), Unteraufgaben-Hierarchie verschachtelte Checklisten, Volltextsuche mit Filtern nach Status/Priorität/Projekt, Sortierbare Ansicht nach Fälligkeit/Priorität/Abhängigkeitsstatus, Verknüpfung zwischen Aufgaben und übergeordneten Projekten, Duplikat-Erkennung ähnlicher Aufgabentitel, Datenvalidierung Pflichtfelder und zirkuläre-Abhängigkeits-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Aufgabendatenbank, Fortschritts-Dashboard offene-vs-erledigte-Aufgaben (ApexCharts Donut), Kritischer-Pfad-Anzeige blockierende Aufgaben zuerst, GSAP Abhängigkeits-Graph-Animationen - USE CASE: Projektteams mit komplexen Aufgabenabhängigkeiten erkennen sofort welche Aufgabe andere blockiert, die zirkuläre-Abhängigkeits-Prüfung verhindert unlösbare Planungsfehler von vornherein.",
            "overview": "programmiere eine Aufgaben-Datenbank mit Abhängigkeits-Graph",
            "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "category_number": 6,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Projektteams mit komplexen Aufgabenabhängigkeiten erkennen sofort welche Aufgabe andere blockiert, die zirkuläre-Abhängigkeits-Prüfung verhindert unlösbare Planungsfehler von vornherein.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-656",
            "title": "baue eine Meeting-Protokoll-Entscheidungs-Log-Datenbank",
            "prompt_number": 656,
            "prompt": "baue eine Meeting-Protokoll-Entscheidungs-Log-Datenbank - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Meeting-Stammdaten Titel/Datum/Teilnehmer/Agenda, Protokoll-Text pro Meeting mit Beschluss-Kennzeichnung, Aktionspunkt-Verknüpfung aus Meeting resultierende Aufgaben mit Verantwortlichkeit, Entscheidungs-Historie durchsuchbar über alle Meetings, Volltextsuche mit Filtern nach Teilnehmer/Zeitraum/Thema, Sortierbare Ansicht nach Datum/Anzahl-offener-Aktionspunkte, Verknüpfung zwischen Meetings derselben Projektserie, Duplikat-Erkennung ähnlicher Meeting-Titel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Markdown, Backup/Restore gesamtes Protokoll-Archiv, Aktionspunkt-Erledigungsquote-Statistik (ApexCharts), Follow-up-Erinnerung offene Aktionspunkte, GSAP Protokoll-Zeitleisten-Animationen - USE CASE: Teams behalten getroffene Entscheidungen und deren Umsetzung über viele Meetings hinweg nachvollziehbar, die Erledigungsquote zeigt ob Aktionspunkte aus Meetings tatsächlich konsequent abgearbeitet werden.",
            "overview": "baue eine Meeting-Protokoll-Entscheidungs-Log-Datenbank",
            "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "category_number": 6,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Teams behalten getroffene Entscheidungen und deren Umsetzung über viele Meetings hinweg nachvollziehbar, die Erledigungsquote zeigt ob Aktionspunkte aus Meetings tatsächlich konsequent abgearbeitet werden.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-657",
            "title": "erstelle eine Bug-Tracking-Datenbank für QA-Teams",
            "prompt_number": 657,
            "prompt": "erstelle eine Bug-Tracking-Datenbank für QA-Teams - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bug-Stammdaten Titel/Schweregrad/Reproduktionsschritte/betroffene-Version, Status-Workflow Gemeldet/Bestätigt/In-Bearbeitung/Verifiziert/Geschlossen, Verknüpfung zu betroffenen Features oder Modulen, Regressions-Kennzeichnung erneut aufgetretener Bug, Volltextsuche mit Filtern nach Schweregrad/Status/Modul, Sortierbare Ansicht nach Schweregrad/Meldedatum/Status, Verknüpfung zwischen ähnlichen oder verwandten Bugs, Duplikat-Erkennung ähnlicher Bug-Beschreibungen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Bug-Datenbank, Bug-Trend nach Schweregrad über Releases (ApexCharts Balken), Behebungszeit-Statistik pro Schweregrad, GSAP Status-Ampel-Animationen - USE CASE: QA-Teams dokumentieren gefundene Fehler strukturiert mit reproduzierbaren Schritten für Entwickler, die Behebungszeit-Statistik zeigt ob kritische Bugs tatsächlich priorisiert schneller geschlossen werden.",
            "overview": "erstelle eine Bug-Tracking-Datenbank für QA-Teams",
            "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "category_number": 6,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "QA-Teams dokumentieren gefundene Fehler strukturiert mit reproduzierbaren Schritten für Entwickler, die Behebungszeit-Statistik zeigt ob kritische Bugs tatsächlich priorisiert schneller geschlossen werden.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-658",
            "title": "entwickle eine Lieferantenvertrag-Datenbank verknüpft mit Projekten",
            "prompt_number": 658,
            "prompt": "entwickle eine Lieferantenvertrag-Datenbank verknüpft mit Projekten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertrags-Stammdaten Lieferant/Vertragsgegenstand/Laufzeit/Konditionen, Verknüpfung zu Projekten die den Vertrag nutzen, Kündigungsfristen-Erinnerung mit Vorlauf, Leistungsbewertung pro Vertragspartner über Zeit, Volltextsuche mit Filtern nach Lieferant/Status/Laufzeit, Sortierbare Ansicht nach Laufzeitende/Vertragswert, Verknüpfung zwischen Verträgen und zugehörigen Rechnungen, Duplikat-Erkennung ähnlicher Verträge, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Rechtsabteilung, Backup/Restore gesamte Vertragsdatenbank, Vertragswert-Verteilung nach Lieferant (ApexCharts Balken), Auto-Verlängerungs-Warnung, GSAP Vertrags-Ablauf-Animationen - USE CASE: Projektteams behalten bei vielen externen Dienstleistern Vertragslaufzeiten und Konditionen zentral im Blick, die Auto-Verlängerungs-Warnung verhindert ungewollte Fortsetzung nicht mehr benötigter Verträge.",
            "overview": "entwickle eine Lieferantenvertrag-Datenbank verknüpft mit Projekten",
            "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "category_number": 6,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Projektteams behalten bei vielen externen Dienstleistern Vertragslaufzeiten und Konditionen zentral im Blick, die Auto-Verlängerungs-Warnung verhindert ungewollte Fortsetzung nicht mehr benötigter Verträge.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-659",
            "title": "programmiere eine Ehrenamt-Freiwilligen-Management-Datenbank",
            "prompt_number": 659,
            "prompt": "programmiere eine Ehrenamt-Freiwilligen-Management-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Freiwilligen-Stammdaten Name/Fähigkeiten/Verfügbarkeit/Engagement-Bereich, Einsatz-Historie welche Projekte wann unterstützt, Stunden-Tracking geleistete Ehrenamtsstunden, Zertifikats-Generierung-Mockup für Nachweise, Volltextsuche mit Filtern nach Fähigkeit/Verfügbarkeit/Projekt, Sortierbare Ansicht nach Engagement-Stunden/letztem-Einsatz, Verknüpfung zwischen Freiwilligen und Projekten/Veranstaltungen, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Vereinsverwaltung, Backup/Restore gesamte Freiwilligendatenbank, Engagement-Stunden-Statistik nach Projekt (ApexCharts), Dankes-Erinnerung nach abgeschlossenem Einsatz, GSAP Einsatz-Karten-Animationen - USE CASE: Non-Profit-Organisationen koordinieren Freiwillige und deren Verfügbarkeit für verschiedene Projekte effizient, die Stunden-Statistik liefert belastbare Nachweise für Förderanträge und Jahresberichte.",
            "overview": "programmiere eine Ehrenamt-Freiwilligen-Management-Datenbank",
            "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "category_number": 6,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Non-Profit-Organisationen koordinieren Freiwillige und deren Verfügbarkeit für verschiedene Projekte effizient, die Stunden-Statistik liefert belastbare Nachweise für Förderanträge und Jahresberichte.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-660",
            "title": "baue eine Förderantrag-Zuschuss-Tracker-Datenbank für Vereine",
            "prompt_number": 660,
            "prompt": "baue eine Förderantrag-Zuschuss-Tracker-Datenbank für Vereine - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Förderantrag-Stammdaten Fördergeber/Projekttitel/Antragssumme/Status/Frist, Status-Workflow Vorbereitung/Eingereicht/Bewilligt/Abgelehnt, Verknüpfung zu unterstützten Projekten, Dokumenten-Checkliste pro Antrag erforderliche Unterlagen, Volltextsuche mit Filtern nach Fördergeber/Status/Frist, Sortierbare Ansicht nach Frist/Antragssumme/Status, Verknüpfung zwischen Anträgen und Verwendungsnachweisen, Duplikat-Erkennung ähnlicher Anträge, Datenvalidierung Pflichtfelder und Fristformat, Import/Export CSV/JSON, Backup/Restore gesamte Antragsdatenbank, Erfolgsquote-Statistik nach Fördergeber (ApexCharts), Fristablauf-Erinnerung, GSAP Status-Fortschritts-Animationen - USE CASE: Non-Profit-Organisationen und Vereine behalten bei mehreren parallelen Förderanträgen Fristen und Status im Blick, die Erfolgsquoten-Statistik zeigt welche Fördergeber sich für künftige Anträge besonders lohnen. ## Kategorie 7: ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "overview": "baue eine Förderantrag-Zuschuss-Tracker-Datenbank für Vereine",
            "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
            "category_number": 6,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Non-Profit-Organisationen und Vereine behalten bei mehreren parallelen Förderanträgen Fristen und Status im Blick, die Erfolgsquoten-Statistik zeigt welche Fördergeber sich für künftige Anträge besonders lohnen. ## Kategorie 7: ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-661",
            "title": "erstelle eine Unternehmens-IT-Asset-Datenbank für Laptops und Lizenzen",
            "prompt_number": 661,
            "prompt": "erstelle eine Unternehmens-IT-Asset-Datenbank für Laptops und Lizenzen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Asset-Stammdaten Gerätetyp/Seriennummer/Zuweisung-Mitarbeiter/Kaufdatum/Garantie-Ablauf, Zuweisungs-Historie welcher Mitarbeiter hatte welches Gerät wann, Lizenz-Verknüpfung installierte Software pro Gerät, Wartungs-und-Reparatur-Log pro Asset, Volltextsuche mit Filtern nach Gerätetyp/Status/Abteilung, Sortierbare Ansicht nach Garantie-Ablauf/Zuweisung/Alter, Verknüpfung zwischen Geräten und zugewiesenen Mitarbeitern, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Seriennummer-Format, Import/Export CSV/JSON für Inventur, Backup/Restore gesamte IT-Asset-Datenbank, Geräteverteilung nach Abteilung und Alter (ApexCharts Treemap), Garantie-Ablauf-Warnung, GSAP Geräte-Zuweisungs-Animationen - USE CASE: IT-Abteilungen behalten bei hunderten Laptops und Geräten Zuweisung und Garantiestatus zentral im Blick, die Garantie-Warnung verhindert kostspielige Reparaturen kurz nach Garantieablauf unbemerkt zu übersehen.",
            "overview": "erstelle eine Unternehmens-IT-Asset-Datenbank für Laptops und Lizenzen",
            "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "category_number": 7,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "IT-Abteilungen behalten bei hunderten Laptops und Geräten Zuweisung und Garantiestatus zentral im Blick, die Garantie-Warnung verhindert kostspielige Reparaturen kurz nach Garantieablauf unbemerkt zu übersehen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-662",
            "title": "entwickle eine Software-Lizenz-Tracker-Datenbank für Compliance-Audits",
            "prompt_number": 662,
            "prompt": "entwickle eine Software-Lizenz-Tracker-Datenbank für Compliance-Audits - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lizenz-Stammdaten Software/Lizenztyp/Anzahl-Sitze/Ablaufdatum/Kosten, Zuweisungs-Tracking welcher Nutzer belegt welchen Sitzplatz, Nutzungsauslastung-Anzeige belegte-vs-verfügbare-Lizenzen, Verlängerungs-Erinnerung mit Vorlaufzeit, Volltextsuche mit Filtern nach Software/Ablaufstatus/Abteilung, Sortierbare Ansicht nach Ablaufdatum/Auslastung/Kosten, Verknüpfung zwischen Lizenzen und IT-Asset-Datenbank, Duplikat-Erkennung gleiche Lizenz mehrfach erfasst, Datenvalidierung Pflichtfelder und Kostenformat, Import/Export CSV/JSON für Einkauf, Backup/Restore gesamte Lizenzdatenbank, Lizenzkosten-Entwicklung über Zeit (ApexCharts Line), Unnötige-Lizenz-Erkennung wenig genutzte Sitze, GSAP Auslastungs-Balken-Animationen - USE CASE: Unternehmen vermeiden durch systematisches Lizenz-Tracking teure Compliance-Verstöße bei Software-Audits, die Unnötige-Lizenz-Erkennung deckt ungenutzte Sitzplätze auf und spart wiederkehrende Kosten.",
            "overview": "entwickle eine Software-Lizenz-Tracker-Datenbank für Compliance-Audits",
            "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "category_number": 7,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Unternehmen vermeiden durch systematisches Lizenz-Tracking teure Compliance-Verstöße bei Software-Audits, die Unnötige-Lizenz-Erkennung deckt ungenutzte Sitzplätze auf und spart wiederkehrende Kosten.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-663",
            "title": "programmiere eine Fahrzeugflotten-Datenbank mit Wartungs-Log",
            "prompt_number": 663,
            "prompt": "programmiere eine Fahrzeugflotten-Datenbank mit Wartungs-Log - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Fahrzeug-Stammdaten Kennzeichen/Modell/Baujahr/Kilometerstand/nächster-TÜV, Fahrer-Zuweisungs-Historie wer fuhr wann welches Fahrzeug, Wartungs-und-Reparatur-Log pro Fahrzeug mit Kosten, Standort-Karte aktuelle-Fahrzeugpositionen-Mockup (Leaflet), Volltextsuche mit Filtern nach Modell/Status/Fahrer, Sortierbare Ansicht nach TÜV-Fälligkeit/Kilometerstand/Wartungsstatus, Verknüpfung zwischen Fahrzeugen und Fahrer-Datensätzen, Duplikat-Erkennung bei Kennzeichen, Datenvalidierung Pflichtfelder und Kennzeichen-Format, Import/Export CSV/JSON für Flottenversicherung, Backup/Restore gesamte Flottendatenbank, Betriebskosten-Statistik pro Fahrzeug (ApexCharts Balken), TÜV-und-Wartungs-Fälligkeits-Warnung, GSAP Flottenkarten-Animationen - USE CASE: Unternehmen mit eigenem Fuhrpark behalten Wartungstermine und Kosten pro Fahrzeug systematisch im Blick, die Fälligkeits-Warnung verhindert dass Fahrzeuge ohne gültigen TÜV im Einsatz sind.",
            "overview": "programmiere eine Fahrzeugflotten-Datenbank mit Wartungs-Log",
            "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "category_number": 7,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Unternehmen mit eigenem Fuhrpark behalten Wartungstermine und Kosten pro Fahrzeug systematisch im Blick, die Fälligkeits-Warnung verhindert dass Fahrzeuge ohne gültigen TÜV im Einsatz sind.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-664",
            "title": "baue eine Raum-Ressourcen-Buchungsdatenbank mit Konflikt-Erkennung",
            "prompt_number": 664,
            "prompt": "baue eine Raum-Ressourcen-Buchungsdatenbank mit Konflikt-Erkennung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Raum-Stammdaten Name/Kapazität/Ausstattung/Standort, Buchungs-Kalender pro Raum mit Zeitfenstern, Konflikt-Erkennung bei Doppelbuchung, Ausstattungs-Filter Beamer/Videokonferenz/Whiteboard, Volltextsuche mit Filtern nach Kapazität/Ausstattung/Verfügbarkeit, Sortierbare Ansicht nach Auslastung/Kapazität/Standort, Verknüpfung zwischen Buchungen und Mitarbeiter-/Team-Datensätzen, Duplikat-Erkennung überlappender Buchungen, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON/Kalenderformat, Backup/Restore gesamte Buchungsdatenbank, Raumauslastungs-Statistik pro Standort (ApexCharts Heatmap), No-Show-Erkennung nicht genutzte Buchungen, GSAP Kalender-Buchungs-Animationen - USE CASE: Unternehmen mit mehreren Besprechungsräumen vermeiden Doppelbuchungen durch automatische Konflikterkennung, die Auslastungsstatistik zeigt ob zusätzliche Räume benötigt oder ungenutzte Kapazitäten reduziert werden können.",
            "overview": "baue eine Raum-Ressourcen-Buchungsdatenbank mit Konflikt-Erkennung",
            "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "category_number": 7,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Unternehmen mit mehreren Besprechungsräumen vermeiden Doppelbuchungen durch automatische Konflikterkennung, die Auslastungsstatistik zeigt ob zusätzliche Räume benötigt oder ungenutzte Kapazitäten reduziert werden können.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-665",
            "title": "erstelle eine Server-Netzwerk-Inventar-Datenbank mit Topologie-Graph",
            "prompt_number": 665,
            "prompt": "erstelle eine Server-Netzwerk-Inventar-Datenbank mit Topologie-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Server-Stammdaten Hostname/IP-Adresse/Standort-Rack/Betriebssystem/Rolle, Netzwerktopologie-Visualisierung Verbindungen zwischen Servern (D3.js Netzwerkgraph), Wartungsfenster-Planung pro Server, Patch-Status-Tracking letztes-Update-pro-System, Volltextsuche mit Filtern nach Rolle/Standort/Patch-Status, Sortierbare Ansicht nach Patch-Alter/Standort/Rolle, Verknüpfung zwischen Servern und abhängigen Diensten, Duplikat-Erkennung bei IP-Adress-Konflikt, Datenvalidierung Pflichtfelder und IP-Format-Prüfung, Import/Export CSV/JSON für Netzwerkdokumentation, Backup/Restore gesamtes Inventar, Patch-Compliance-Dashboard (ApexCharts Gauge), Veraltete-Systeme-Warnung, GSAP Netzwerktopologie-Animationen - USE CASE: IT-Abteilungen dokumentieren ihre Serverlandschaft strukturiert für Audits und Notfallpläne, die Patch-Compliance-Anzeige deckt sofort auf welche Systeme dringend aktualisiert werden müssen.",
            "overview": "erstelle eine Server-Netzwerk-Inventar-Datenbank mit Topologie-Graph",
            "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "category_number": 7,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "IT-Abteilungen dokumentieren ihre Serverlandschaft strukturiert für Audits und Notfallpläne, die Patch-Compliance-Anzeige deckt sofort auf welche Systeme dringend aktualisiert werden müssen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-666",
            "title": "entwickle eine Firmenhandy-Mobile-Device-Datenbank mit Vertragskosten-Tracking",
            "prompt_number": 666,
            "prompt": "entwickle eine Firmenhandy-Mobile-Device-Datenbank mit Vertragskosten-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gerät-Stammdaten IMEI/Modell/Zuweisung-Mitarbeiter/Vertragslaufzeit, Zuweisungs-Historie Gerätewechsel-Nachverfolgung, Vertragskosten-Tracking pro Gerät und Tarif, Verlust-und-Diebstahl-Meldung-Workflow-Mockup, Volltextsuche mit Filtern nach Modell/Status/Abteilung, Sortierbare Ansicht nach Vertragsende/Kosten/Zuweisung, Verknüpfung zwischen Geräten und Mitarbeiter-Datensätzen, Duplikat-Erkennung bei IMEI, Datenvalidierung Pflichtfelder und IMEI-Format, Import/Export CSV/JSON, Backup/Restore gesamte Gerätedatenbank, Kostenverteilung nach Abteilung (ApexCharts Treemap), Vertragsverlängerungs-Erinnerung, GSAP Geräte-Zuweisungs-Animationen - USE CASE: Unternehmen mit vielen Firmenhandys behalten Vertragskosten und Zuweisungen abteilungsübergreifend im Blick, die Kostenverteilung erleichtert die interne Verrechnung an die jeweiligen Kostenstellen.",
            "overview": "entwickle eine Firmenhandy-Mobile-Device-Datenbank mit Vertragskosten-Tracking",
            "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "category_number": 7,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Unternehmen mit vielen Firmenhandys behalten Vertragskosten und Zuweisungen abteilungsübergreifend im Blick, die Kostenverteilung erleichtert die interne Verrechnung an die jeweiligen Kostenstellen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-667",
            "title": "programmiere eine Peripheriegeräte-Zubehör-Inventar-Datenbank",
            "prompt_number": 667,
            "prompt": "programmiere eine Peripheriegeräte-Zubehör-Inventar-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zubehör-Stammdaten Gerätetyp-Monitor-Tastatur-Headset/Zuweisung/Zustand/Kaufdatum, Ausleih-und-Rückgabe-Tracking bei Pool-Geräten, Zustandsdokumentation mit Fotos bei Rückgabe, Ersatzbeschaffungs-Bedarf-Liste bei Defekten, Volltextsuche mit Filtern nach Gerätetyp/Status/Zuweisung, Sortierbare Ansicht nach Zustand/Kaufdatum/Zuweisung, Verknüpfung zwischen Zubehör und Hauptgeräten der IT-Asset-Datenbank, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Bestandsstatistik nach Gerätetyp und Zustand (ApexCharts Balken), Nachbestellungs-Schwellenwert-Warnung, GSAP Lager-Bestands-Animationen - USE CASE: IT-Abteilungen behalten bei umfangreichem Zubehörlager wie Monitoren und Headsets den Überblick über Verfügbarkeit und Zustand, die Nachbestellungs-Warnung verhindert Engpässe bei Neueinstellungen.",
            "overview": "programmiere eine Peripheriegeräte-Zubehör-Inventar-Datenbank",
            "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "category_number": 7,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "IT-Abteilungen behalten bei umfangreichem Zubehörlager wie Monitoren und Headsets den Überblick über Verfügbarkeit und Zustand, die Nachbestellungs-Warnung verhindert Engpässe bei Neueinstellungen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-668",
            "title": "baue eine Domain-und-SSL-Zertifikat-Tracker-Datenbank",
            "prompt_number": 668,
            "prompt": "baue eine Domain-und-SSL-Zertifikat-Tracker-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Domain-Stammdaten Domainname/Registrar/Ablaufdatum/verantwortliches-Team, SSL-Zertifikat-Verknüpfung pro Domain mit Ablaufdatum, Auto-Renewal-Status-Kennzeichnung aktiviert/manuell, DNS-Konfigurations-Notizen pro Domain, Volltextsuche mit Filtern nach Registrar/Ablaufstatus/Team, Sortierbare Ansicht nach Ablaufdatum/Domain/Zuständigkeit, Verknüpfung zwischen Domains und zugehörigen Zertifikaten, Duplikat-Erkennung bei Domainname, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore gesamte Domain-Datenbank, Ablaufübersicht-Dashboard kommende-30-60-90-Tage (ApexCharts Gauge), Kritische-Ablauf-Warnung rot-markiert, GSAP Ablauf-Countdown-Animationen - USE CASE: Unternehmen mit vielen Domains und Zertifikaten vermeiden peinliche Ausfälle durch abgelaufene SSL-Zertifikate, die 30-60-90-Tage-Übersicht schafft rechtzeitigen Vorlauf für Verlängerungen.",
            "overview": "baue eine Domain-und-SSL-Zertifikat-Tracker-Datenbank",
            "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "category_number": 7,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Unternehmen mit vielen Domains und Zertifikaten vermeiden peinliche Ausfälle durch abgelaufene SSL-Zertifikate, die 30-60-90-Tage-Übersicht schafft rechtzeitigen Vorlauf für Verlängerungen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-669",
            "title": "erstelle eine Cloud-SaaS-Abo-Tracker-Datenbank für Kostenkontrolle",
            "prompt_number": 669,
            "prompt": "erstelle eine Cloud-SaaS-Abo-Tracker-Datenbank für Kostenkontrolle - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: SaaS-Tool-Stammdaten Name/Anbieter/Plan/Kosten-pro-Nutzer/Vertragslaufzeit, Nutzer-Zuweisung pro Tool mit Aktiv-Status, Kostenverteilung nach Abteilung und Tool, Kündigungsfristen-Erinnerung vor automatischer Verlängerung, Volltextsuche mit Filtern nach Anbieter/Abteilung/Ablaufstatus, Sortierbare Ansicht nach Kosten/Nutzeranzahl/Ablaufdatum, Verknüpfung zwischen Tools und zugewiesenen Mitarbeitern, Duplikat-Erkennung ähnlicher Tool-Namen redundante-Anschaffungen, Datenvalidierung Pflichtfelder und Kostenformat, Import/Export CSV/JSON für Controlling, Backup/Restore gesamte SaaS-Datenbank, Gesamtkosten-Entwicklung über Zeit (ApexCharts Line), Ungenutzte-Lizenzen-Erkennung, GSAP Kosten-Dashboard-Animationen - USE CASE: Unternehmen mit wachsender SaaS-Tool-Landschaft behalten die Kostenkontrolle über alle Abonnements zentral, die Erkennung redundanter Anschaffungen deckt doppelt bezahlte ähnliche Tools zwischen Abteilungen auf.",
            "overview": "erstelle eine Cloud-SaaS-Abo-Tracker-Datenbank für Kostenkontrolle",
            "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "category_number": 7,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Unternehmen mit wachsender SaaS-Tool-Landschaft behalten die Kostenkontrolle über alle Abonnements zentral, die Erkennung redundanter Anschaffungen deckt doppelt bezahlte ähnliche Tools zwischen Abteilungen auf.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-670",
            "title": "entwickle eine Zutrittskontroll-Schlüssel-Asset-Datenbank für Facility-Management",
            "prompt_number": 670,
            "prompt": "entwickle eine Zutrittskontroll-Schlüssel-Asset-Datenbank für Facility-Management - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schlüssel-Zugangskarten-Stammdaten Typ/Bereich/Ausgabe-an/Ausgabedatum, Rückgabe-Tracking bei Mitarbeiteraustritt mit Status offen/zurückgegeben, Bereichs-Zuordnung welcher Schlüssel öffnet welche Räume, Verlustmeldungs-Workflow mit Sperr-Status, Volltextsuche mit Filtern nach Bereich/Status/Mitarbeiter, Sortierbare Ansicht nach Ausgabedatum/Status/Bereich, Verknüpfung zwischen Schlüsseln und Mitarbeiter-Datensätzen, Duplikat-Erkennung bei Schlüsselnummer, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Sicherheitsaudit, Backup/Restore gesamte Zutrittsdatenbank, Offene-Rückgaben-Statistik nach Abteilung (ApexCharts), Austritts-Checklisten-Verknüpfung, GSAP Zutrittsstatus-Animationen - USE CASE: Facility-Management behält bei physischen Zutrittsmitteln den Überblick wer wohin Zugang hat, die Austritts-Checklisten-Verknüpfung stellt sicher dass ausscheidende Mitarbeiter lückenlos alle Schlüssel zurückgeben. ## Kategorie 8: EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "overview": "entwickle eine Zutrittskontroll-Schlüssel-Asset-Datenbank für Facility-Management",
            "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
            "category_number": 7,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Facility-Management behält bei physischen Zutrittsmitteln den Überblick wer wohin Zugang hat, die Austritts-Checklisten-Verknüpfung stellt sicher dass ausscheidende Mitarbeiter lückenlos alle Schlüssel zurückgeben. ## Kategorie 8: EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-671",
            "title": "programmiere eine Terminbuchungs-Datenbank für Kleinunternehmen wie Friseursalons",
            "prompt_number": 671,
            "prompt": "programmiere eine Terminbuchungs-Datenbank für Kleinunternehmen wie Friseursalons - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Termin-Stammdaten Kunde/Dienstleistung/Datum-Uhrzeit/Mitarbeiter, Verfügbarkeits-Kalender pro Mitarbeiter mit Zeitslots, Konflikt-Erkennung bei Doppelbuchung, Erinnerungs-Funktion vor Termin an Kunden-Mockup, Volltextsuche mit Filtern nach Kunde/Dienstleistung/Mitarbeiter, Sortierbare Ansicht nach Datum/Mitarbeiter/Status, Verknüpfung zwischen Terminen und Kundendatensätzen, Duplikat-Erkennung überlappender Termine, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON/Kalenderformat, Backup/Restore gesamte Termindatenbank, Auslastungsstatistik pro Mitarbeiter und Wochentag (ApexCharts Heatmap), No-Show-Rate-Tracking, GSAP Kalender-Buchungs-Animationen - USE CASE: Friseursalons und Praxen mit mehreren Mitarbeitern verwalten Terminbuchungen zentral ohne Doppelbuchungen, die Auslastungsstatistik zeigt welche Wochentage zusätzliches Personal benötigen.",
            "overview": "programmiere eine Terminbuchungs-Datenbank für Kleinunternehmen wie Friseursalons",
            "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Friseursalons und Praxen mit mehreren Mitarbeitern verwalten Terminbuchungen zentral ohne Doppelbuchungen, die Auslastungsstatistik zeigt welche Wochentage zusätzliches Personal benötigen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-672",
            "title": "baue eine Event-Gästeliste-Datenbank mit RSVP-Tracking",
            "prompt_number": 672,
            "prompt": "baue eine Event-Gästeliste-Datenbank mit RSVP-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gast-Stammdaten Name/Kategorie/Begleitung/Ernährungshinweise, RSVP-Status-Tracking zugesagt/abgesagt/ausstehend, Tischplanungs-Zuordnung pro Gast, Einladungsversand-Historie-Mockup, Volltextsuche mit Filtern nach RSVP-Status/Kategorie/Tisch, Sortierbare Ansicht nach Nachname/RSVP-Status/Tisch, Verknüpfung zwischen Gästen und Begleitpersonen, Duplikat-Erkennung ähnlicher Namen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Caterer, Backup/Restore gesamte Gästeliste, RSVP-Rücklaufquote-Statistik (ApexCharts Donut), Erinnerungs-Funktion bei ausstehender Antwort, GSAP Gästeliste-Update-Animationen - USE CASE: Veranstalter größerer Feiern wie Hochzeiten behalten Zusagen und Ernährungshinweise aller Gäste übersichtlich im Blick, die Rücklaufquote hilft rechtzeitig bei ausstehenden Antworten nachzufassen.",
            "overview": "baue eine Event-Gästeliste-Datenbank mit RSVP-Tracking",
            "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Veranstalter größerer Feiern wie Hochzeiten behalten Zusagen und Ernährungshinweise aller Gäste übersichtlich im Blick, die Rücklaufquote hilft rechtzeitig bei ausstehenden Antworten nachzufassen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-673",
            "title": "erstelle eine Veranstaltungsort-Raumreservierungs-Datenbank",
            "prompt_number": 673,
            "prompt": "erstelle eine Veranstaltungsort-Raumreservierungs-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Veranstaltungsort-Stammdaten Name/Kapazität/Ausstattung/Mietpreis, Reservierungs-Kalender mit Zeitfenstern und Buchendem, Konflikt-Erkennung bei Doppelbuchung, Anzahlungs-und-Vertragsstatus-Tracking pro Reservierung, Volltextsuche mit Filtern nach Kapazität/Verfügbarkeit/Ausstattung, Sortierbare Ansicht nach Datum/Auslastung/Mietpreis, Verknüpfung zwischen Reservierungen und Kunden-/Veranstalter-Datensätzen, Duplikat-Erkennung überlappender Reservierungen, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamte Reservierungsdatenbank, Auslastungsstatistik nach Saison und Wochentag (ApexCharts Heatmap), Stornierungsquote-Tracking, GSAP Belegungskalender-Animationen - USE CASE: Betreiber von Veranstaltungsräumen vermeiden Doppelbuchungen durch systematische Kalenderverwaltung, die Saisonauslastung hilft bei der Preisgestaltung für Nebensaison-Rabatte.",
            "overview": "erstelle eine Veranstaltungsort-Raumreservierungs-Datenbank",
            "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Betreiber von Veranstaltungsräumen vermeiden Doppelbuchungen durch systematische Kalenderverwaltung, die Saisonauslastung hilft bei der Preisgestaltung für Nebensaison-Rabatte.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-674",
            "title": "entwickle eine Kurs-und-Workshop-Anmeldungs-Datenbank mit Warteliste",
            "prompt_number": 674,
            "prompt": "entwickle eine Kurs-und-Workshop-Anmeldungs-Datenbank mit Warteliste - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurs-Stammdaten Titel/Termin/Kursleiter/max-Teilnehmerzahl, Teilnehmer-Anmeldungs-Liste pro Kurs mit Warteliste bei Überbuchung, Bezahlstatus-Tracking pro Teilnehmer, Anwesenheits-Tracking pro Kurstermin, Volltextsuche mit Filtern nach Kurs/Status/Bezahlstatus, Sortierbare Ansicht nach Anmeldedatum/Kurs/Auslastung, Verknüpfung zwischen Teilnehmern und mehreren gebuchten Kursen, Duplikat-Erkennung Mehrfachanmeldung derselben Person, Datenvalidierung Pflichtfelder und Kapazitätsprüfung vor Anmeldung, Import/Export CSV/JSON für Teilnehmerlisten, Backup/Restore gesamte Kursdatenbank, Auslastungsstatistik pro Kurs (ApexCharts Balken), Warteliste-Nachrück-Benachrichtigung, GSAP Anmeldeformular-Animationen - USE CASE: Volkshochschulen und private Kursanbieter verwalten Anmeldungen und Wartelisten für begrenzte Kursplätze effizient, die Auslastungsstatistik zeigt welche Kursthemen besonders gefragt sind für die Programmplanung.",
            "overview": "entwickle eine Kurs-und-Workshop-Anmeldungs-Datenbank mit Warteliste",
            "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Volkshochschulen und private Kursanbieter verwalten Anmeldungen und Wartelisten für begrenzte Kursplätze effizient, die Auslastungsstatistik zeigt welche Kursthemen besonders gefragt sind für die Programmplanung.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-675",
            "title": "programmiere eine Hochzeitsplanung-Dienstleister-und-Gäste-Datenbank",
            "prompt_number": 675,
            "prompt": "programmiere eine Hochzeitsplanung-Dienstleister-und-Gäste-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dienstleister-Stammdaten Kategorie-Catering-Fotograf-Location/Kontakt/Vertragsstatus/Budget, Gäste-Verknüpfung separate Gästeliste mit RSVP-Status, Budget-Tracking geplant-vs-tatsächlich pro Kategorie, Zeitplan-Checkliste Aufgaben bis zur Hochzeit mit Fälligkeit, Volltextsuche mit Filtern nach Kategorie/Status/Budget, Sortierbare Ansicht nach Fälligkeit/Budget/Status, Verknüpfung zwischen Dienstleistern und Vertragsdokumenten, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Budgetformat, Import/Export CSV/JSON, Backup/Restore gesamte Planungsdatenbank, Budget-Verteilung nach Kategorie (ApexCharts Treemap), Countdown-Fälligkeits-Warnung offener Aufgaben, GSAP Checklisten-Fortschritts-Animationen - USE CASE: Brautpaare behalten bei der Hochzeitsplanung Dutzende Dienstleister und Budget-Posten gleichzeitig im Blick, die Budget-Verteilung zeigt frühzeitig ob einzelne Kategorien den Rahmen sprengen.",
            "overview": "programmiere eine Hochzeitsplanung-Dienstleister-und-Gäste-Datenbank",
            "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Brautpaare behalten bei der Hochzeitsplanung Dutzende Dienstleister und Budget-Posten gleichzeitig im Blick, die Budget-Verteilung zeigt frühzeitig ob einzelne Kategorien den Rahmen sprengen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-676",
            "title": "baue eine Konferenz-Sprecher-und-Sessions-Datenbank ohne Zeitkonflikte",
            "prompt_number": 676,
            "prompt": "baue eine Konferenz-Sprecher-und-Sessions-Datenbank ohne Zeitkonflikte - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprecher-Stammdaten Name/Thema/Biografie/Kontakt/Vertragsstatus, Session-Stammdaten Titel/Zeitslot/Raum/Track-Zuordnung, Verknüpfung zwischen Sprechern und ihren Sessions, Konflikt-Erkennung bei Zeitslot-Überschneidung im selben Raum, Volltextsuche mit Filtern nach Track/Sprecher/Zeitslot, Sortierbare Ansicht nach Zeitslot/Track/Raum, Verknüpfung zwischen Sessions und Teilnehmer-Anmeldungen, Duplikat-Erkennung ähnlicher Session-Titel, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON für Programmheft-Druck, Backup/Restore gesamtes Konferenzprogramm, Track-Auslastungsstatistik nach Beliebtheit (ApexCharts Balken), Sprecher-Bestätigungsstatus-Übersicht, GSAP Programmplan-Animationen - USE CASE: Konferenzveranstalter koordinieren Dutzende Sprecher und parallele Sessions ohne Raum- oder Zeitkonflikte, die Track-Auslastungsstatistik unterstützt die Planung künftiger Konferenzen nach Teilnehmerinteresse.",
            "overview": "baue eine Konferenz-Sprecher-und-Sessions-Datenbank ohne Zeitkonflikte",
            "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Konferenzveranstalter koordinieren Dutzende Sprecher und parallele Sessions ohne Raum- oder Zeitkonflikte, die Track-Auslastungsstatistik unterstützt die Planung künftiger Konferenzen nach Teilnehmerinteresse.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-677",
            "title": "erstelle eine Sportliga-Turnier-Terminplanungs-Datenbank mit Tabellenberechnung",
            "prompt_number": 677,
            "prompt": "erstelle eine Sportliga-Turnier-Terminplanungs-Datenbank mit Tabellenberechnung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Team-Stammdaten Name/Liga/Kontaktperson/Spielstärke, Spielplan-Generierung mit Terminen und Austragungsort, Ergebnis-Erfassung pro Spiel mit Tabellenberechnung, Schiedsrichter-Zuweisung pro Spiel, Volltextsuche mit Filtern nach Liga/Team/Spieltag, Sortierbare Ansicht nach Spieltag/Tabellenplatz/Team, Verknüpfung zwischen Spielen und beteiligten Teams, Duplikat-Erkennung überlappender Spielansetzungen am selben Ort, Datenvalidierung Pflichtfelder und Terminüberschneidungs-Prüfung, Import/Export CSV/JSON für Liga-Verband, Backup/Restore gesamte Turnierdatenbank, Tabellen-und-Formstatistik pro Team (ApexCharts Balken), Spielausfall-Nachhol-Terminvorschlag, GSAP Tabellen-Update-Animationen - USE CASE: Amateur-Sportligen organisieren Spielpläne und Tabellen für mehrere Teams strukturiert ohne Terminüberschneidungen, die Formstatistik liefert Vereinen und Fans spannende Einblicke in die Saisonentwicklung.",
            "overview": "erstelle eine Sportliga-Turnier-Terminplanungs-Datenbank mit Tabellenberechnung",
            "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Amateur-Sportligen organisieren Spielpläne und Tabellen für mehrere Teams strukturiert ohne Terminüberschneidungen, die Formstatistik liefert Vereinen und Fans spannende Einblicke in die Saisonentwicklung.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-678",
            "title": "entwickle eine Vereinshaus-Aktivitätsbuchungs-Datenbank für Gemeindezentren",
            "prompt_number": 678,
            "prompt": "entwickle eine Vereinshaus-Aktivitätsbuchungs-Datenbank für Gemeindezentren - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aktivitäts-Stammdaten Kursname/Zeitfenster/Betreuer/max-Teilnehmer, Mitglieder-Buchungs-Tracking wer nimmt an welcher Aktivität teil, Raumzuordnung pro Aktivität mit Konflikt-Erkennung, Beitrags-Status-Verknüpfung Mitgliedschaft aktiv-vorausgesetzt, Volltextsuche mit Filtern nach Aktivität/Zeitfenster/Verfügbarkeit, Sortierbare Ansicht nach Auslastung/Zeitfenster/Beliebtheit, Verknüpfung zwischen Aktivitäten und Mitglieder-Datensätzen, Duplikat-Erkennung Mehrfachbuchung, Datenvalidierung Pflichtfelder und Kapazitätsprüfung, Import/Export CSV/JSON, Backup/Restore gesamte Aktivitätsdatenbank, Teilnahmestatistik pro Aktivität und Monat (ApexCharts), Warteliste-Nachrück-Funktion, GSAP Belegungsplan-Animationen - USE CASE: Gemeindezentren und Vereine mit vielfältigem Kursangebot verwalten Teilnehmerbuchungen und Raumbelegung zentral, die Teilnahmestatistik zeigt welche Angebote ausgebaut oder eingestellt werden sollten.",
            "overview": "entwickle eine Vereinshaus-Aktivitätsbuchungs-Datenbank für Gemeindezentren",
            "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Gemeindezentren und Vereine mit vielfältigem Kursangebot verwalten Teilnehmerbuchungen und Raumbelegung zentral, die Teilnahmestatistik zeigt welche Angebote ausgebaut oder eingestellt werden sollten.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-679",
            "title": "programmiere eine Verleih-Equipment-Buchungs-Datenbank für Partyverleih",
            "prompt_number": 679,
            "prompt": "programmiere eine Verleih-Equipment-Buchungs-Datenbank für Partyverleih - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Verleihartikel-Stammdaten Artikel-Partyzelt-Tische-Stühle/Menge/Zustand, Buchungs-Kalender pro Artikel mit Verfügbarkeitsprüfung, Kunden-Verknüpfung wer hat wann was gebucht, Kaution-und-Zustandsprotokoll bei Rückgabe, Volltextsuche mit Filtern nach Artikel/Zeitraum/Verfügbarkeit, Sortierbare Ansicht nach Buchungsdatum/Artikel/Kunde, Verknüpfung zwischen Buchungen und Kundendatensätzen, Duplikat-Erkennung überbuchter Artikel im selben Zeitraum, Datenvalidierung Pflichtfelder und Verfügbarkeitsprüfung vor Bestätigung, Import/Export CSV/JSON für Rechnungsstellung, Backup/Restore gesamte Verleihdatenbank, Auslastungsstatistik pro Artikel und Saison (ApexCharts Heatmap), Beschädigungs-Historie pro Artikel, GSAP Verfügbarkeitskalender-Animationen - USE CASE: Partyverleih-Betriebe vermeiden durch die Verfügbarkeitsprüfung Doppelbuchungen begrenzter Ausrüstung wie Zelte, die Saisonauslastung unterstützt die Investitionsentscheidung für zusätzliche Bestände vor der Hochsaison.",
            "overview": "programmiere eine Verleih-Equipment-Buchungs-Datenbank für Partyverleih",
            "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Partyverleih-Betriebe vermeiden durch die Verfügbarkeitsprüfung Doppelbuchungen begrenzter Ausrüstung wie Zelte, die Saisonauslastung unterstützt die Investitionsentscheidung für zusätzliche Bestände vor der Hochsaison.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-680",
            "title": "baue eine Ehrenamtliche-Schichtplanungs-Datenbank für Events und Festivals",
            "prompt_number": 680,
            "prompt": "baue eine Ehrenamtliche-Schichtplanungs-Datenbank für Events und Festivals - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schicht-Stammdaten Event/Zeitfenster/benötigte-Rolle/Anzahl-Helfer, Freiwilligen-Zuweisung pro Schicht mit Verfügbarkeitsabgleich, Rollen-Qualifikation-Kennzeichnung Ersthelfer/Kassierer/Aufbau, Erinnerungs-Funktion vor zugewiesener Schicht, Volltextsuche mit Filtern nach Event/Rolle/Verfügbarkeit, Sortierbare Ansicht nach Zeitfenster/Besetzungsgrad, Verknüpfung zwischen Schichten und Freiwilligen-Datensätzen, Duplikat-Erkennung überlappender Schichtzuweisungen derselben Person, Datenvalidierung Pflichtfelder und Zeitüberschneidungs-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Schichtplanung, Besetzungsgrad-Dashboard pro Event (ApexCharts Gauge), Unterbesetzte-Schichten-Warnung, GSAP Schichtplan-Animationen - USE CASE: Vereine und Festivalorganisatoren koordinieren Dutzende freiwillige Helfer über mehrere Schichten hinweg konfliktfrei, die Unterbesetzt-Warnung ermöglicht rechtzeitiges Nachrekrutieren vor kritischen Lücken im Ablauf. ## Kategorie 9: GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "overview": "baue eine Ehrenamtliche-Schichtplanungs-Datenbank für Events und Festivals",
            "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Vereine und Festivalorganisatoren koordinieren Dutzende freiwillige Helfer über mehrere Schichten hinweg konfliktfrei, die Unterbesetzt-Warnung ermöglicht rechtzeitiges Nachrekrutieren vor kritischen Lücken im Ablauf. ## Kategorie 9: GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-681",
            "title": "erstelle eine persönliche Gesundheitsakte-Datenbank für Medikamente und Termine",
            "prompt_number": 681,
            "prompt": "erstelle eine persönliche Gesundheitsakte-Datenbank für Medikamente und Termine - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gesundheits-Stammdaten Medikamente/Allergien/Vorerkrankungen/Arzttermine, Medikationsplan mit Dosierung und Einnahmezeit, Arzttermin-Historie mit Befund-Notizen, Impfstatus-Übersicht mit Auffrischungs-Erinnerung, Volltextsuche mit Filtern nach Kategorie/Zeitraum/Arzt, Sortierbare Ansicht nach Termin/Medikament/Wichtigkeit, Verknüpfung zwischen Diagnosen und verordneten Medikamenten, Duplikat-Erkennung bei Medikamenteneingabe, Datenvalidierung Pflichtfelder und Dosierungsformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamte Gesundheitsakte verschlüsselt-Mockup, Medikamenten-Übersicht-Dashboard aktueller-Plan (ApexCharts), Notfall-Kurzübersicht Allergien-und-Blutgruppe, GSAP Termin-Erinnerungs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Daten verbleiben ausschließlich lokal im Browser via IndexedDB, keine Server-Übertragung - USE CASE: Patienten mit mehreren Erkrankungen und Medikamenten behalten den Überblick für den nächsten Arztbesuch, die Notfall-Kurzübersicht kann im Ernstfall entscheidende Informationen schnell verfügbar machen. WICHTIG: Demo-Anwendung ausschließlich zur lokalen Selbstorganisation, keine Übertragung sensibler Gesundheitsdaten auf einen Server, ersetzt keine ärztliche Dokumentation.",
            "overview": "erstelle eine persönliche Gesundheitsakte-Datenbank für Medikamente und Termine",
            "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "category_number": 9,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Patienten mit mehreren Erkrankungen und Medikamenten behalten den Überblick für den nächsten Arztbesuch, die Notfall-Kurzübersicht kann im Ernstfall entscheidende Informationen schnell verfügbar machen. WICHTIG: Demo-Anwendung ausschließlich zur lokalen Selbstorganisation, keine Übertragung sensibler Gesundheitsdaten auf einen Server, ersetzt keine ärztliche Dokumentation.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-682",
            "title": "entwickle eine Fitness-Log-Datenbank für Workouts und Körpermaße",
            "prompt_number": 682,
            "prompt": "entwickle eine Fitness-Log-Datenbank für Workouts und Körpermaße - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Trainings-Stammdaten Datum/Übung/Sätze/Wiederholungen/Gewicht, Körpermaße-Tracking Gewicht/Umfänge über Zeit, Trainingsplan-Verknüpfung Übungen einem Plan zugeordnet, Persönliche-Bestleistungen-Tracking pro Übung, Volltextsuche mit Filtern nach Übung/Zeitraum/Trainingsplan, Sortierbare Ansicht nach Datum/Übung/Fortschritt, Verknüpfung zwischen Trainingseinheiten und Trainingsplänen, Duplikat-Erkennung doppelter Einträge am selben Tag, Datenvalidierung Pflichtfelder und Gewichtsformat, Import/Export CSV/JSON, Backup/Restore gesamtes Trainingslog, Kraftzuwachs-Trend pro Übung (ApexCharts Line), Körpermaße-Entwicklung (ApexCharts), GSAP Fortschritts-Balken-Animationen - USE CASE: Fitness-Enthusiasten dokumentieren Trainingsfortschritt und Körpermaße über Monate hinweg strukturiert, die Bestleistungs-Anzeige motiviert zum kontinuierlichen Überbieten der eigenen Rekorde.",
            "overview": "entwickle eine Fitness-Log-Datenbank für Workouts und Körpermaße",
            "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "category_number": 9,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Fitness-Enthusiasten dokumentieren Trainingsfortschritt und Körpermaße über Monate hinweg strukturiert, die Bestleistungs-Anzeige motiviert zum kontinuierlichen Überbieten der eigenen Rekorde.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-683",
            "title": "programmiere eine Haustier-Gesundheitsakte-Datenbank mit Impfhistorie",
            "prompt_number": 683,
            "prompt": "programmiere eine Haustier-Gesundheitsakte-Datenbank mit Impfhistorie - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Haustier-Stammdaten Name/Rasse/Geburtsdatum/Gewicht, Impf-und-Behandlungshistorie mit Tierarzt-Terminen, Medikationsplan bei chronischen Erkrankungen, Gewichtsverlauf-Tracking über Zeit, Volltextsuche mit Filtern nach Behandlungsart/Zeitraum/Tierarzt, Sortierbare Ansicht nach Termin/Behandlung/Haustier, Verknüpfung zwischen mehreren Haustieren desselben Haushalts, Duplikat-Erkennung bei Terminanlage, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Tierarztwechsel, Backup/Restore gesamte Haustier-Gesundheitsdatenbank, Gewichtsentwicklung pro Haustier (ApexCharts Line), Impf-Auffrischungs-Erinnerung, GSAP Terminplan-Animationen, PRIVATSPHÄRE-HINWEIS im Code: Daten verbleiben lokal im Browser, keine Übertragung an Dritte oder Tierarztpraxen ohne expliziten manuellen Export - USE CASE: Haustierbesitzer mit mehreren Tieren oder chronisch kranken Haustieren behalten Impf-und Behandlungstermine lückenlos im Blick, der Export erleichtert den reibungslosen Wechsel zu einer neuen Tierarztpraxis. WICHTIG: lokal gespeicherte Demo-Anwendung, kein Ersatz für tierärztliche Dokumentation.",
            "overview": "programmiere eine Haustier-Gesundheitsakte-Datenbank mit Impfhistorie",
            "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "category_number": 9,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Haustierbesitzer mit mehreren Tieren oder chronisch kranken Haustieren behalten Impf-und Behandlungstermine lückenlos im Blick, der Export erleichtert den reibungslosen Wechsel zu einer neuen Tierarztpraxis. WICHTIG: lokal gespeicherte Demo-Anwendung, kein Ersatz für tierärztliche Dokumentation.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-684",
            "title": "baue eine Symptom-Tracking-Datenbank für chronisches Krankheitsmanagement",
            "prompt_number": 684,
            "prompt": "baue eine Symptom-Tracking-Datenbank für chronisches Krankheitsmanagement - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Symptom-Log-Stammdaten Datum/Symptom/Intensität/Auslöser-Vermutung, Trigger-Korrelations-Analyse mögliche Zusammenhänge Ernährung/Wetter/Stress (D3.js), Medikamenteneinnahme-Verknüpfung mit Symptomverlauf, Verlaufsbericht-Export für Arztbesuche, Volltextsuche mit Filtern nach Symptom/Intensität/Zeitraum, Sortierbare Ansicht nach Datum/Intensität/Symptomtyp, Verknüpfung zwischen Symptomen und vermuteten Auslösern, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Intensitätsskala-Format, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamtes Symptomtagebuch verschlüsselt-Mockup, Symptomhäufigkeits-Trend über Monate (ApexCharts Line), Gute-und-schlechte-Tage-Kalenderübersicht, GSAP Trend-Animationen, PRIVATSPHÄRE-HINWEIS im Code: hochsensible Gesundheitsdaten verbleiben ausschließlich lokal im Browser, keine Cloud-Synchronisation in dieser Demo-Version - USE CASE: Menschen mit chronischen Erkrankungen wie Migräne oder Reizdarm erkennen durch systematisches Tracking wiederkehrende Auslösemuster, der Verlaufsbericht liefert dem behandelnden Arzt objektive Daten statt subjektiver Erinnerung. WICHTIG: dient der persönlichen Mustererkennung, ersetzt keine ärztliche Diagnose.",
            "overview": "baue eine Symptom-Tracking-Datenbank für chronisches Krankheitsmanagement",
            "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "category_number": 9,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Menschen mit chronischen Erkrankungen wie Migräne oder Reizdarm erkennen durch systematisches Tracking wiederkehrende Auslösemuster, der Verlaufsbericht liefert dem behandelnden Arzt objektive Daten statt subjektiver Erinnerung. WICHTIG: dient der persönlichen Mustererkennung, ersetzt keine ärztliche Diagnose.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-685",
            "title": "erstelle eine Medikamenten-Einnahme-Adhärenz-Datenbank mit Erinnerungsfunktion",
            "prompt_number": 685,
            "prompt": "erstelle eine Medikamenten-Einnahme-Adhärenz-Datenbank mit Erinnerungsfunktion - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Medikamenten-Stammdaten Name/Dosierung/Einnahmezeitpunkt/verordnender-Arzt, Einnahme-Bestätigungs-Log genommen/vergessen pro Zeitpunkt, Wechselwirkungs-Hinweis-Mockup bei mehreren gleichzeitigen Medikamenten, Nachfüll-Erinnerung bei sinkendem Vorrat, Volltextsuche mit Filtern nach Medikament/Zeitraum/Adhärenz-Status, Sortierbare Ansicht nach Einnahmezeit/Adhärenzquote, Verknüpfung zwischen Medikamenten und verordnenden Ärzten, Duplikat-Erkennung bei Medikamenteneingabe, Datenvalidierung Pflichtfelder und Dosierungsformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamten Medikationsplan, Adhärenzquote-Statistik über Zeit (ApexCharts Gauge), Vergessene-Einnahmen-Muster-Erkennung nach Wochentag, GSAP Einnahme-Erinnerungs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Medikationsdaten bleiben lokal auf dem Gerät gespeichert, kein Cloud-Abgleich - USE CASE: Patienten mit komplexen Medikationsplänen behalten die Übersicht und verbessern nachweislich ihre Therapietreue, pflegende Angehörige nutzen die Adhärenzquote um rechtzeitig gegenzusteuern. WICHTIG: reine Erinnerungs- und Dokumentationshilfe, kein Medizinprodukt, ersetzt keine ärztliche Beratung zu Wechselwirkungen.",
            "overview": "erstelle eine Medikamenten-Einnahme-Adhärenz-Datenbank mit Erinnerungsfunktion",
            "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "category_number": 9,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Patienten mit komplexen Medikationsplänen behalten die Übersicht und verbessern nachweislich ihre Therapietreue, pflegende Angehörige nutzen die Adhärenzquote um rechtzeitig gegenzusteuern. WICHTIG: reine Erinnerungs- und Dokumentationshilfe, kein Medizinprodukt, ersetzt keine ärztliche Beratung zu Wechselwirkungen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-686",
            "title": "entwickle eine Schlaf-Tracking-Datenbank mit Muster- und Störfaktor-Analyse",
            "prompt_number": 686,
            "prompt": "entwickle eine Schlaf-Tracking-Datenbank mit Muster- und Störfaktor-Analyse - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schlaf-Log-Stammdaten Datum/Einschlafzeit/Aufwachzeit/Schlafqualität-Bewertung, Störfaktoren-Erfassung Koffein/Bildschirmzeit/Stress, Schlafphasen-Schätzung-Mockup Tief-Leicht-REM, Wochentag-Muster-Erkennung Wochenende-vs-Wochentag, Volltextsuche mit Filtern nach Zeitraum/Qualität/Störfaktor, Sortierbare Ansicht nach Datum/Schlafdauer/Qualität, Verknüpfung zwischen Schlafqualität und erfassten Störfaktoren, Duplikat-Erkennung mehrfacher Einträge derselben Nacht, Datenvalidierung Pflichtfelder und Zeitformat-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamtes Schlaftagebuch, Schlafdauer-Trend über Wochen (ApexCharts Line), Korrelations-Heatmap Störfaktor-vs-Qualität (D3.js), GSAP Schlafzyklus-Animationen, PRIVATSPHÄRE-HINWEIS im Code: sämtliche Schlafdaten verbleiben lokal im Browser-Speicher ohne Server-Anbindung - USE CASE: Menschen mit Schlafproblemen identifizieren durch systematisches Tracking eigene Muster und Störfaktoren, die Korrelations-Heatmap macht sichtbar welche Gewohnheiten die Schlafqualität tatsächlich beeinflussen.",
            "overview": "entwickle eine Schlaf-Tracking-Datenbank mit Muster- und Störfaktor-Analyse",
            "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "category_number": 9,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Menschen mit Schlafproblemen identifizieren durch systematisches Tracking eigene Muster und Störfaktoren, die Korrelations-Heatmap macht sichtbar welche Gewohnheiten die Schlafqualität tatsächlich beeinflussen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-687",
            "title": "programmiere ein Stimmungstagebuch als mentale-Gesundheit-Datenbank",
            "prompt_number": 687,
            "prompt": "programmiere ein Stimmungstagebuch als mentale-Gesundheit-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Stimmungs-Log-Stammdaten Datum/Stimmungsskala/Auslöser/Notizen, Aktivitäts-Verknüpfung welche Tätigkeiten mit welcher Stimmung korrelieren, Trigger-Kategorisierung Arbeit/Beziehung/Gesundheit/Schlaf, Therapiesitzungs-Verknüpfung-Mockup falls in Behandlung, Volltextsuche mit Filtern nach Zeitraum/Stimmungslevel/Trigger, Sortierbare Ansicht nach Datum/Stimmungslevel, Verknüpfung zwischen Stimmungseinträgen und identifizierten Triggern, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Skalenformat, Import/Export CSV/JSON für Therapiegespräche, Backup/Restore gesamtes Stimmungstagebuch verschlüsselt-Mockup, Stimmungsverlauf über Monate (ApexCharts Line), Trigger-Häufigkeits-Analyse (ApexCharts Donut), GSAP sanfte Übergangs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: höchst sensible Daten verbleiben ausschließlich lokal auf dem Gerät, keinerlei Cloud-Synchronisation oder Analyse durch Dritte - USE CASE: Menschen in therapeutischer Begleitung dokumentieren Stimmungsverläufe zwischen Sitzungen für konstruktivere Gespräche mit ihrem Therapeuten, die Trigger-Analyse hilft eigenständig wiederkehrende Belastungsmuster zu erkennen. WICHTIG: kein Ersatz für professionelle psychologische oder psychiatrische Behandlung, bei akuten Krisen bitte an Fachpersonal oder Notdienste wenden.",
            "overview": "programmiere ein Stimmungstagebuch als mentale-Gesundheit-Datenbank",
            "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "category_number": 9,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Menschen in therapeutischer Begleitung dokumentieren Stimmungsverläufe zwischen Sitzungen für konstruktivere Gespräche mit ihrem Therapeuten, die Trigger-Analyse hilft eigenständig wiederkehrende Belastungsmuster zu erkennen. WICHTIG: kein Ersatz für professionelle psychologische oder psychiatrische Behandlung, bei akuten Krisen bitte an Fachpersonal oder Notdienste wenden.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-688",
            "title": "baue einen Schwangerschaftskalender als Gesundheitsdatenbank",
            "prompt_number": 688,
            "prompt": "baue einen Schwangerschaftskalender als Gesundheitsdatenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schwangerschafts-Stammdaten Errechneter-Termin/aktuelle-Woche/Gewichtszunahme, Vorsorgetermin-Historie mit Untersuchungsergebnissen, Symptom-Tagebuch pro Schwangerschaftswoche, Meilenstein-Tracking Ultraschalltermine/Screenings, Volltextsuche mit Filtern nach Woche/Termin-Typ, Sortierbare Ansicht nach Datum/Schwangerschaftswoche, Verknüpfung zwischen Vorsorgeterminen und Untersuchungsergebnissen, Duplikat-Erkennung bei Termineingabe, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Mutterpass-Ergänzung, Backup/Restore gesamten Schwangerschaftskalender, Gewichtszunahme-Verlauf nach Woche (ApexCharts Line), Countdown-bis-Errechneter-Termin, GSAP Wochenfortschritts-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Daten bleiben lokal im Browser gespeichert, kein Ersatz für den offiziellen Mutterpass - USE CASE: Schwangere behalten Vorsorgetermine und Körperveränderungen über die gesamte Schwangerschaft strukturiert im Blick, der Countdown und die Meilenstein-Übersicht schaffen Orientierung durch die einzelnen Schwangerschaftswochen. WICHTIG: ergänzt, ersetzt aber nicht den offiziellen Mutterpass, alle medizinischen Entscheidungen gehören in ärztliche Hände.",
            "overview": "baue einen Schwangerschaftskalender als Gesundheitsdatenbank",
            "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "category_number": 9,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Schwangere behalten Vorsorgetermine und Körperveränderungen über die gesamte Schwangerschaft strukturiert im Blick, der Countdown und die Meilenstein-Übersicht schaffen Orientierung durch die einzelnen Schwangerschaftswochen. WICHTIG: ergänzt, ersetzt aber nicht den offiziellen Mutterpass, alle medizinischen Entscheidungen gehören in ärztliche Hände.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-689",
            "title": "erstelle eine Physiotherapie-Reha-Übungslog-Datenbank",
            "prompt_number": 689,
            "prompt": "erstelle eine Physiotherapie-Reha-Übungslog-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übungs-Stammdaten Name/Zielbereich/Wiederholungen/Sätze/verordnet-von, Reha-Fortschritts-Tracking Schmerzskala und Beweglichkeit über Zeit, Übungsplan-Verknüpfung vom Physiotherapeuten vorgegeben, Terminverlauf Physiotherapie-Sitzungen, Volltextsuche mit Filtern nach Zielbereich/Zeitraum/Übungsplan, Sortierbare Ansicht nach Datum/Schmerzlevel/Fortschritt, Verknüpfung zwischen Übungen und verordnetem Behandlungsplan, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Skalenformat, Import/Export CSV/JSON für Physiotherapeuten, Backup/Restore gesamtes Reha-Logbuch, Schmerz-und-Beweglichkeits-Trend (ApexCharts Line), Übungstreue-Statistik geplant-vs-durchgeführt (ApexCharts Gauge), GSAP Fortschritts-Animationen, PRIVATSPHÄRE-HINWEIS im Code: Gesundheitsdaten verbleiben ausschließlich lokal im Browser ohne Server-Übertragung - USE CASE: Patienten in physiotherapeutischer Behandlung dokumentieren häusliche Übungen und Fortschritt zwischen den Terminen, der Trend aus Schmerz- und Beweglichkeitswerten liefert dem Therapeuten objektive Anhaltspunkte für die Plananpassung. WICHTIG: Dokumentationshilfe, kein Ersatz für die fachliche Beurteilung durch den behandelnden Physiotherapeuten.",
            "overview": "erstelle eine Physiotherapie-Reha-Übungslog-Datenbank",
            "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "category_number": 9,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Patienten in physiotherapeutischer Behandlung dokumentieren häusliche Übungen und Fortschritt zwischen den Terminen, der Trend aus Schmerz- und Beweglichkeitswerten liefert dem Therapeuten objektive Anhaltspunkte für die Plananpassung. WICHTIG: Dokumentationshilfe, kein Ersatz für die fachliche Beurteilung durch den behandelnden Physiotherapeuten.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-690",
            "title": "entwickle eine Familien-Krankengeschichte-Datenbank für erbliche Erkrankungen",
            "prompt_number": 690,
            "prompt": "entwickle eine Familien-Krankengeschichte-Datenbank für erbliche Erkrankungen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Familienmitglied-Stammdaten Name/Verwandtschaftsgrad/bekannte-Erkrankungen/Diagnosealter, Stammbaum-Verknüpfung erbliche Muster über Generationen (D3.js Baumdiagramm), Erkrankungs-Kategorisierung Herz-Kreislauf/Krebs/Stoffwechsel/genetisch, Risikofaktor-Übersicht basierend auf Familienhäufung, Volltextsuche mit Filtern nach Erkrankung/Verwandtschaftsgrad, Sortierbare Ansicht nach Diagnosealter/Erkrankungstyp, Verknüpfung zwischen Familienmitgliedern und ihren Erkrankungen, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Arztgespräche zur Familienanamnese, Backup/Restore gesamte Familienkrankengeschichte verschlüsselt-Mockup, Erkrankungshäufigkeit nach Familienzweig (ApexCharts Treemap), Generationsübergreifende-Muster-Anzeige, GSAP Stammbaum-Animationen, PRIVATSPHÄRE-HINWEIS im Code: hochsensible genetische und gesundheitsbezogene Familiendaten verbleiben ausschließlich lokal, keine Übertragung an genetische Beratungsstellen ohne expliziten manuellen Export - USE CASE: Familien mit gehäuft auftretenden Erkrankungen dokumentieren die Familienanamnese strukturiert für Arztgespräche und genetische Beratung, das Stammbaum-Diagramm macht erbliche Risikomuster über Generationen auf einen Blick erkennbar. WICHTIG: Hilfsmittel zur Gesprächsvorbereitung, ersetzt keine humangenetische Beratung, alle Daten bleiben lokal ohne Cloud-Anbindung. ## Kategorie 10: GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "overview": "entwickle eine Familien-Krankengeschichte-Datenbank für erbliche Erkrankungen",
            "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
            "category_number": 9,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Familien mit gehäuft auftretenden Erkrankungen dokumentieren die Familienanamnese strukturiert für Arztgespräche und genetische Beratung, das Stammbaum-Diagramm macht erbliche Risikomuster über Generationen auf einen Blick erkennbar. WICHTIG: Hilfsmittel zur Gesprächsvorbereitung, ersetzt keine humangenetische Beratung, alle Daten bleiben lokal ohne Cloud-Anbindung. ## Kategorie 10: GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-691",
            "title": "programmiere eine Familienstammbaum-Genealogie-Datenbank mit Beziehungs-Verknüpfung",
            "prompt_number": 691,
            "prompt": "programmiere eine Familienstammbaum-Genealogie-Datenbank mit Beziehungs-Verknüpfung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Personen-Stammdaten Name/Geburtsdatum/Sterbedatum/Geburtsort, Beziehungs-Verknüpfung Eltern-Kind-Ehepartner-Geschwister, Interaktiver-Stammbaum-Visualisierung mehrere Generationen (D3.js Baumdiagramm), Foto-und-Dokumenten-Anhang pro Person, Volltextsuche mit Filtern nach Nachname/Generation/Geburtsort, Sortierbare Ansicht nach Geburtsjahr/Generation/Familienzweig, Verknüpfung zwischen Personen und historischen Dokumenten, Duplikat-Erkennung ähnlicher Personen bei Neuanlage, Datenvalidierung Pflichtfelder und Datums-Plausibilität Geburt-vor-Tod, Import/Export GEDCOM-Mockup/CSV/JSON, Backup/Restore gesamter Stammbaum, Generationen-Verteilung und Familienzweig-Größe (ApexCharts Balken), Lücken-Erkennung fehlende Angaben in der Ahnenreihe, GSAP Stammbaum-Zoom-Animationen - USE CASE: Familienforscher bauen über Jahre einen detaillierten digitalen Stammbaum mit Belegen auf statt in Papierakten, die Lücken-Erkennung zeigt systematisch wo noch weitere Archivrecherche nötig ist.",
            "overview": "programmiere eine Familienstammbaum-Genealogie-Datenbank mit Beziehungs-Verknüpfung",
            "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "category_number": 10,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Familienforscher bauen über Jahre einen detaillierten digitalen Stammbaum mit Belegen auf statt in Papierakten, die Lücken-Erkennung zeigt systematisch wo noch weitere Archivrecherche nötig ist.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-692",
            "title": "baue ein historisches Dokumentenarchiv mit Metadaten-Tagging",
            "prompt_number": 692,
            "prompt": "baue ein historisches Dokumentenarchiv mit Metadaten-Tagging - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokument-Stammdaten Titel/Entstehungsjahr/Dokumenttyp/Urheber/Zustand, Metadaten-Tagging-System Thema/Region/beteiligte-Personen, Digitalisierungs-Status-Tracking gescannt/transkribiert/archiviert, Verknüpfung zu erwähnten Personen oder Orten, Volltextsuche mit Filtern nach Dokumenttyp/Jahr/Tag, Sortierbare Ansicht nach Entstehungsjahr/Digitalisierungsstatus, Verknüpfung zwischen zusammengehörigen Dokumenten derselben Akte, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Archivverwaltung, Backup/Restore gesamtes Archiv, Bestandsübersicht nach Dokumenttyp und Jahrzehnt (ApexCharts Treemap), Restaurierungsbedarf-Warnung bei schlechtem Zustand, GSAP Archivregal-Animationen - USE CASE: Archive und Heimatvereine katalogisieren historische Dokumente mit durchsuchbaren Metadaten statt physischer Karteikästen, die Restaurierungsbedarf-Warnung priorisiert welche empfindlichen Bestände zuerst konserviert werden müssen.",
            "overview": "baue ein historisches Dokumentenarchiv mit Metadaten-Tagging",
            "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "category_number": 10,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Archive und Heimatvereine katalogisieren historische Dokumente mit durchsuchbaren Metadaten statt physischer Karteikästen, die Restaurierungsbedarf-Warnung priorisiert welche empfindlichen Bestände zuerst konserviert werden müssen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-693",
            "title": "erstelle eine Foto-Archiv-Datenbank mit Tagging und Datierung",
            "prompt_number": 693,
            "prompt": "erstelle eine Foto-Archiv-Datenbank mit Tagging und Datierung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Foto-Stammdaten Aufnahmedatum-geschätzt/Ort/abgebildete-Personen/Fotograf, Datierungs-Schätzungs-Feld bei unsicherem Aufnahmedatum mit Konfidenz-Angabe, Personen-Tagging-System mehrere Personen pro Foto verknüpft, Themen-Alben-Zuordnung thematische Sammlungen, Volltextsuche mit Filtern nach Zeitraum/Ort/getaggter-Person, Sortierbare Ansicht nach Datum/Ort/Album, Verknüpfung zwischen Fotos und Personen-Datensätzen aus dem Stammbaum, Duplikat-Erkennung ähnlicher Fotos bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON mit Metadaten, Backup/Restore gesamtes Fotoarchiv, Foto-Verteilung nach Jahrzehnt und Ort (ApexCharts Balken), Unbestimmte-Personen-Liste noch zu identifizierende Personen, GSAP Fotoalbum-Blättern-Animationen - USE CASE: Familien digitalisieren und ordnen alte Fotosammlungen mit Personen- und Ortsangaben bevor Wissen über die Abgebildeten verloren geht, die Verknüpfung zum Stammbaum macht Fotos für künftige Generationen dauerhaft zuordenbar.",
            "overview": "erstelle eine Foto-Archiv-Datenbank mit Tagging und Datierung",
            "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "category_number": 10,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Familien digitalisieren und ordnen alte Fotosammlungen mit Personen- und Ortsangaben bevor Wissen über die Abgebildeten verloren geht, die Verknüpfung zum Stammbaum macht Fotos für künftige Generationen dauerhaft zuordenbar.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-694",
            "title": "entwickle ein Heimatverein-Lokalgeschichte-Archiv",
            "prompt_number": 694,
            "prompt": "entwickle ein Heimatverein-Lokalgeschichte-Archiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Archiv-Eintrag-Stammdaten Titel/Zeitraum/Kategorie-Gebäude-Ereignis-Person/Quelle, Orts-Verknüpfung historische Gebäude und Straßenzüge mit heutiger Lage, Zeitzeugen-Interview-Verknüpfung falls vorhanden, Bild-und-Dokumenten-Anhang pro Eintrag, Volltextsuche mit Filtern nach Kategorie/Zeitraum/Ort, Sortierbare Ansicht nach Zeitraum/Kategorie/Relevanz, Verknüpfung zwischen Einträgen zu übergreifenden Themen Ortsgeschichte, Duplikat-Erkennung ähnlicher Einträge, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Vereinspublikationen, Backup/Restore gesamtes Ortsarchiv, Themenverteilung nach Kategorie und Jahrzehnt (ApexCharts Treemap), Fehlende-Dokumentation-Erkennung Lücken in der Ortschronik, GSAP Zeitleisten-Animationen - USE CASE: Heimat- und Geschichtsvereine bewahren lokale Ereignisse und Bauwerke digital für kommende Generationen, die Lücken-Erkennung zeigt welche Zeiträume der Ortschronik noch weiterer Recherche bedürfen.",
            "overview": "entwickle ein Heimatverein-Lokalgeschichte-Archiv",
            "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "category_number": 10,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Heimat- und Geschichtsvereine bewahren lokale Ereignisse und Bauwerke digital für kommende Generationen, die Lücken-Erkennung zeigt welche Zeiträume der Ortschronik noch weiterer Recherche bedürfen.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-695",
            "title": "programmiere ein Zeitzeugen-Interview-Transkript-Archiv durchsuchbar",
            "prompt_number": 695,
            "prompt": "programmiere ein Zeitzeugen-Interview-Transkript-Archiv durchsuchbar - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interview-Stammdaten Zeitzeuge/Aufnahmedatum/Themengebiet/Interviewer, Transkript-Text-Feld durchsuchbar mit Zeitstempel-Markierung, Themen-Tagging pro Textabschnitt für gezielte Recherche, Einverständniserklärungs-Status-Tracking-Mockup für Veröffentlichung, Volltextsuche im Transkript-Volltext mit Filtern nach Thema/Zeitzeuge, Sortierbare Ansicht nach Aufnahmedatum/Themengebiet, Verknüpfung zwischen Interviews zum selben historischen Ereignis, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Text für Publikationen, Backup/Restore gesamtes Interviewarchiv, Themenverteilung über alle Interviews (ApexCharts Donut), Veröffentlichungsstatus-Übersicht freigegeben-vs-gesperrt, GSAP Transkript-Scroll-Animationen - USE CASE: Geschichtsprojekte und Archive bewahren mündliche Überlieferungen von Zeitzeugen mit durchsuchbaren Transkripten für die historische Forschung, die Themen-Tagging-Struktur ermöglicht gezieltes Auffinden relevanter Passagen über viele Interviews hinweg.",
            "overview": "programmiere ein Zeitzeugen-Interview-Transkript-Archiv durchsuchbar",
            "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "category_number": 10,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Geschichtsprojekte und Archive bewahren mündliche Überlieferungen von Zeitzeugen mit durchsuchbaren Transkripten für die historische Forschung, die Themen-Tagging-Struktur ermöglicht gezieltes Auffinden relevanter Passagen über viele Interviews hinweg.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-696",
            "title": "baue eine Familien-Erbstück-Provenienz-Datenbank mit Besitzerketten",
            "prompt_number": 696,
            "prompt": "baue eine Familien-Erbstück-Provenienz-Datenbank mit Besitzerketten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbstück-Stammdaten Objekt/Herkunftsperson/Entstehungsjahr-geschätzt/Zustand, Besitzerketten-Verknüpfung wer besaß das Stück in welcher Generation, Geschichten-und-Bedeutung-Feld zur Familienerzählung, Foto-Dokumentation mit Detailaufnahmen, Volltextsuche mit Filtern nach Objekttyp/Generation/Familienzweig, Sortierbare Ansicht nach Entstehungsjahr/Generation, Verknüpfung zwischen Erbstücken und Personen im Stammbaum, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Nachlassplanung, Backup/Restore gesamte Erbstück-Datenbank, Objektverteilung nach Kategorie und Generation (ApexCharts Treemap), Weitergabe-Planung wer soll Stück künftig erben, GSAP Vitrinen-Ansicht-Animationen - USE CASE: Familien dokumentieren die Herkunft und Bedeutung von Erbstücken bevor die Geschichten dahinter mit der älteren Generation verloren gehen, die Weitergabe-Planung unterstützt eine einvernehmliche Nachlassregelung wertvoller Familienstücke.",
            "overview": "baue eine Familien-Erbstück-Provenienz-Datenbank mit Besitzerketten",
            "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "category_number": 10,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Familien dokumentieren die Herkunft und Bedeutung von Erbstücken bevor die Geschichten dahinter mit der älteren Generation verloren gehen, die Weitergabe-Planung unterstützt eine einvernehmliche Nachlassregelung wertvoller Familienstücke.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-697",
            "title": "erstelle eine Auswanderer-Ahnen-Migrationsdatenbank mit Kartenrouten",
            "prompt_number": 697,
            "prompt": "erstelle eine Auswanderer-Ahnen-Migrationsdatenbank mit Kartenrouten - HTML - TECH: Bulma+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Migrations-Stammdaten Person/Herkunftsort/Zielort/Auswanderungsjahr/Beweggrund, Reiseroute-Visualisierung auf Karte (Leaflet), Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Dokumenten-Anhang Passagierlisten-Einbürgerungsunterlagen-Mockup, Volltextsuche mit Filtern nach Herkunftsland/Zielland/Zeitraum, Sortierbare Ansicht nach Auswanderungsjahr/Herkunftsort, Verknüpfung zwischen mehreren Familienmitgliedern derselben Migrationswelle, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder und Jahresformat, Import/Export CSV/JSON für Ahnenforschungs-Austausch, Backup/Restore gesamte Migrationsdatenbank, Migrationsrouten-Statistik nach Jahrzehnt (ApexCharts Balken), Zielort-Häufigkeits-Karte, GSAP Kartenrouten-Animationen - USE CASE: Ahnenforscher dokumentieren die Auswanderungsgeschichte ihrer Familie mit Routen und Beweggründen nachvollziehbar, die Kartenvisualisierung macht historische Migrationsmuster ganzer Familienzweige über Kontinente hinweg sichtbar.",
            "overview": "erstelle eine Auswanderer-Ahnen-Migrationsdatenbank mit Kartenrouten",
            "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "category_number": 10,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Ahnenforscher dokumentieren die Auswanderungsgeschichte ihrer Familie mit Routen und Beweggründen nachvollziehbar, die Kartenvisualisierung macht historische Migrationsmuster ganzer Familienzweige über Kontinente hinweg sichtbar.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-698",
            "title": "entwickle eine Kriegsgedenk-Militärakten-Genealogie-Datenbank",
            "prompt_number": 698,
            "prompt": "entwickle eine Kriegsgedenk-Militärakten-Genealogie-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Militärakten-Stammdaten Person/Einheit/Dienstzeitraum/Einsatzort, Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Auszeichnungs-und-Verwundungs-Dokumentation, Dokumenten-Anhang Wehrpass-Feldpostbriefe-Mockup, Volltextsuche mit Filtern nach Einheit/Zeitraum/Einsatzort, Sortierbare Ansicht nach Dienstzeitraum/Einheit, Verknüpfung zwischen Familienmitgliedern die in derselben Einheit dienten, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Militärarchiv-Recherche, Backup/Restore gesamte Militärakten-Datenbank, Einsatzort-Verteilung über Zeit (ApexCharts Balken), Gedenktag-Erinnerung für Familienmitglieder, GSAP Gedenk-Zeitleisten-Animationen - USE CASE: Familienforscher dokumentieren den Kriegsdienst früherer Generationen respektvoll mit belegten Quellen, die Verknüpfung zum Stammbaum bewahrt diese Erinnerungen dauerhaft für nachfolgende Generationen als Teil der Familiengeschichte.",
            "overview": "entwickle eine Kriegsgedenk-Militärakten-Genealogie-Datenbank",
            "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "category_number": 10,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Familienforscher dokumentieren den Kriegsdienst früherer Generationen respektvoll mit belegten Quellen, die Verknüpfung zum Stammbaum bewahrt diese Erinnerungen dauerhaft für nachfolgende Generationen als Teil der Familiengeschichte.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-699",
            "title": "programmiere ein Friedhofs-Grabstätten-Verzeichnis mit Kartenverortung",
            "prompt_number": 699,
            "prompt": "programmiere ein Friedhofs-Grabstätten-Verzeichnis mit Kartenverortung - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Grabstätten-Stammdaten Verstorbener/Geburtsdatum/Sterbedatum/Grabnummer-Lage, Friedhofsplan-Verortung auf interaktiver Karte (Leaflet), Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Grabpflege-Status-Tracking gepflegt/verwaist/Auflösung-droht, Volltextsuche mit Filtern nach Nachname/Zeitraum/Friedhof, Sortierbare Ansicht nach Sterbedatum/Grabnummer, Verknüpfung zwischen Grabstätten derselben Familie Familiengrab, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder und Datums-Plausibilität, Import/Export CSV/JSON für Heimatvereins-Dokumentation, Backup/Restore gesamtes Grabstätten-Verzeichnis, Belegungsstatistik nach Zeitraum (ApexCharts Balken), Auflösungsfrist-Warnung bei drohendem Nutzungsende, GSAP Friedhofsplan-Animationen - USE CASE: Familienforscher und Heimatvereine dokumentieren Grabstätten samt Lage bevor Gräber im Zuge von Nutzungsfristen aufgelöst werden, die Auflösungsfrist-Warnung ermöglicht rechtzeitige Umbettung oder Dokumentation bedeutender historischer Gräber.",
            "overview": "programmiere ein Friedhofs-Grabstätten-Verzeichnis mit Kartenverortung",
            "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "category_number": 10,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Familienforscher und Heimatvereine dokumentieren Grabstätten samt Lage bevor Gräber im Zuge von Nutzungsfristen aufgelöst werden, die Auflösungsfrist-Warnung ermöglicht rechtzeitige Umbettung oder Dokumentation bedeutender historischer Gräber.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "100-database:prompt-700",
            "title": "baue ein historisches Zeitungsausschnitt-Archiv für Lokalgeschichte",
            "prompt_number": 700,
            "prompt": "baue ein historisches Zeitungsausschnitt-Archiv für Lokalgeschichte - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeitungsausschnitt-Stammdaten Titel/Erscheinungsdatum/Zeitung/Thema, Volltext-Abschrift-Feld für durchsuchbare Inhalte, Erwähnte-Personen-und-Orte-Tagging, Scan-Anhang des Originalausschnitts, Volltextsuche im Abschrift-Text mit Filtern nach Zeitung/Zeitraum/Thema, Sortierbare Ansicht nach Erscheinungsdatum/Thema, Verknüpfung zwischen Ausschnitten zum selben Ereignis oder derselben Person, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Heimatvereins-Publikationen, Backup/Restore gesamtes Zeitungsarchiv, Themenverteilung nach Jahrzehnt (ApexCharts Treemap), Verknüpfung zu Personen im Familienstammbaum bei Namensnennung, GSAP Zeitungsausschnitt-Scroll-Animationen - USE CASE: Heimatvereine und Familienforscher bewahren historische Zeitungsberichte über lokale Ereignisse und erwähnte Personen durchsuchbar auf, die Verknüpfung zum Familienstammbaum verbindet trockene Archivdaten mit den persönlichen Geschichten realer Vorfahren. === ENDE - 100 DATENBANK-APP HTML5-PROMPTS ALLER ART (BATCH 7) === ## Hinweis Batch 7 ist im Unterschied zu den bisherigen Batches 1-3, 5 (die jeweils eine Branche/einen Sektor bzw. eine Markenwelt durchgehen) winkel-basiert (\"angle-based\") aufgebaut: die Anwendungsklasse \"Datenbank-App\" selbst bildet die Klammer, und die 10 Kategorien wandern durch 10 unterschiedliche reale Datendomänen statt durch 10 Branchen desselben Sektors. Da der gesamte Stack konsequent Frontend-Only HTML5-Apps ohne Anwendungsserver produziert, gibt es in diesem Batch keine \"verschiedenen Datenbank-Technologien\" im klassischen Sinn (kein MySQL/PostgreSQL/MongoDB-Vergleich) — stattdessen ist \"Datenbank\" hier durchgängig als IndexedDB bzw. LocalStorage im Browser zu verstehen, die als vollwertige client-seitige Persistenzschicht mit strukturierten Datensätzen, Relationen zwischen Datensatz-Typen, Suche/Filter/Sortierung, Import/Export, Duplikat-Erkennung, Datenvalidierung und Backup/Restore fungiert. Die zehn Domänen (persönliche Inventare, Kontakte, Bibliotheken/Medien, Rezepte/Ernährung, Wissen/Referenz, Projekte/Aufgaben, IT-Assets, Events/Buchungen, Gesundheit/Fitness, Genealogie/Archiv) wurden bewusst so gewählt, dass sie sich gegenseitig nicht überschneiden und jeweils die typischen Muster einer Datenbank-Anwendung — Stammdaten, Relationen, Suche, Validierung, Reporting — an einem konkreten, alltagsnahen Anwendungsfall zeigen. In Kategorie 9 (Gesundheits- & Fitness-Datenbanken, #681-690) tragen alle gesundheitsbezogenen Prompts zusätzlich einen expliziten Privatsphäre-Hinweis, der klarstellt dass sensible Gesundheitsdaten in diesen Demo-Apps ausschließlich lokal im Browser verbleiben und keine Server-Übertragung stattfindet — eine bewusste Ergänzung angesichts der Sensibilität dieser Datenkategorie auch in einer reinen Frontend-Demo. --- ## Appendix: Archive-Tool-Promptliste Diese fünf Prompts gehören zur übergreifenden Archive- und Tool-Planung. Sie sind bewusst als eigener Appendix markiert und nicht Teil der 100 Datenbank-App-Prompts `#601–#700`. ### Priorität 1 — Public Release Gate Entwickle ein Public Release Gate für den letzten Schritt vor der Veröffentlichung eines Archive-Builds. Es prüft Raw-Source-Leaks, Credential-Muster, private URLs, unsanitized HTML, externe und kaputte Links, fehlende Quellen, Snapshot-Konsistenz, Corpus-Zählungen, Duplicate-Gruppen, Accessibility-Grundchecks, CSP-Status und den Browser-Smoke-Test. Das Ergebnis soll klar zwischen `PUBLIC RELEASE: BLOCKED`, Warnungen und bestandenen Checks unterscheiden. ### Priorität 2 — Snapshot Diff Explorer Entwickle einen Snapshot Diff Explorer, der zwei Archive-Builds vergleicht. Sichtbar werden neue, entfernte und geänderte Projekte, Frontmatter-Änderungen, Sicherheitsbefunde, neue oder entfernte Embeddings, Duplicate-Gruppen und veränderte Readiness-Grade. Jeder Unterschied erhält Source- und Snapshot-Referenzen, damit das statische Archiv nachvollziehbar versioniert bleibt. ### Priorität 3 — Project Compare Lab Entwickle ein Project Compare Lab für zwei bis vier ausgewählte Projekte. Die Vergleichsansicht zeigt Status, Rebuild Grade, Tech Stack, Zielgruppe, Feature-Scope, Security Findings, Dependencies, Documentation Coverage, RAG Similarity, Source Confidence und Provenance nebeneinander. Das Tool soll Unterschiede erklären und nicht nur Rohfelder in Tabellenform darstellen. ### Priorität 4 — RAG Evaluation Lab Entwickle ein RAG Evaluation Lab mit 20–50 Golden Queries und erwarteten Source-IDs. Es misst Recall@K, Precision@K, MRR, Citation Validity, Unsupported-Claim-Rate sowie den Vergleich zwischen lexical, semantic und hybrid retrieval. Zusätzlich soll es Snapshot-zu-Snapshot-Regressionsvergleiche und eine klare Kennzeichnung für Halluzinations- oder Redaction-Cases liefern. Beispiel: ```text Query: \"Stripe subscription checkout\" Expected sources: 3 Found in top 8: 3 Recall@8: 100% Citation validity: 100% ``` ### Priorität 5 — Unified Archive Workbench Entwickle eine gemeinsame Archive Workbench für lokale Projekte, HTML-Analysen, Ebooks, Kataloge, Prompt-Ideen, Root-Dateien und RAG-Vektoren. Die Workbench bietet getrennte Provenance-Filter und die Modi Browse, Exact search, Hybrid search, Semantic search, Compare und Build handoff. Prompt-Ideen und Katalogdaten bleiben dabei sichtbar getrennt von lokaler Projekt-Evidence.",
            "overview": "baue ein historisches Zeitungsausschnitt-Archiv für Lokalgeschichte",
            "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
            "category_number": 10,
            "cluster": "Datenbank-Apps aller Art",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "datenbank",
              "crud",
              "indexeddb",
              "localstorage",
              "sammlungen",
              "inventar"
            ],
            "use_case": "Heimatvereine und Familienforscher bewahren historische Zeitungsberichte über lokale Ereignisse und erwähnte Personen durchsuchbar auf, die Verknüpfung zum Familienstammbaum verbindet trockene Archivdaten mit den persönlichen Geschichten realer Vorfahren. === ENDE - 100 DATENBANK-APP HTML5-PROMPTS ALLER ART (BATCH 7) === ## Hinweis Batch 7 ist im Unterschied zu den bisherigen Batches 1-3, 5 (die jeweils eine Branche/einen Sektor bzw. eine Markenwelt durchgehen) winkel-basiert (\"angle-based\") aufgebaut: die Anwendungsklasse \"Datenbank-App\" selbst bildet die Klammer, und die 10 Kategorien wandern durch 10 unterschiedliche reale Datendomänen statt durch 10 Branchen desselben Sektors. Da der gesamte Stack konsequent Frontend-Only HTML5-Apps ohne Anwendungsserver produziert, gibt es in diesem Batch keine \"verschiedenen Datenbank-Technologien\" im klassischen Sinn (kein MySQL/PostgreSQL/MongoDB-Vergleich) — stattdessen ist \"Datenbank\" hier durchgängig als IndexedDB bzw. LocalStorage im Browser zu verstehen, die als vollwertige client-seitige Persistenzschicht mit strukturierten Datensätzen, Relationen zwischen Datensatz-Typen, Suche/Filter/Sortierung, Import/Export, Duplikat-Erkennung, Datenvalidierung und Backup/Restore fungiert. Die zehn Domänen (persönliche Inventare, Kontakte, Bibliotheken/Medien, Rezepte/Ernährung, Wissen/Referenz, Projekte/Aufgaben, IT-Assets, Events/Buchungen, Gesundheit/Fitness, Genealogie/Archiv) wurden bewusst so gewählt, dass sie sich gegenseitig nicht überschneiden und jeweils die typischen Muster einer Datenbank-Anwendung — Stammdaten, Relationen, Suche, Validierung, Reporting — an einem konkreten, alltagsnahen Anwendungsfall zeigen. In Kategorie 9 (Gesundheits- & Fitness-Datenbanken, #681-690) tragen alle gesundheitsbezogenen Prompts zusätzlich einen expliziten Privatsphäre-Hinweis, der klarstellt dass sensible Gesundheitsdaten in diesen Demo-Apps ausschließlich lokal im Browser verbleiben und keine Server-Übertragung stattfindet — eine bewusste Ergänzung angesichts der Sensibilität dieser Datenkategorie auch in einer reinen Frontend-Demo. --- ## Appendix: Archive-Tool-Promptliste Diese fünf Prompts gehören zur übergreifenden Archive- und Tool-Planung. Sie sind bewusst als eigener Appendix markiert und nicht Teil der 100 Datenbank-App-Prompts `#601–#700`. ### Priorität 1 — Public Release Gate Entwickle ein Public Release Gate für den letzten Schritt vor der Veröffentlichung eines Archive-Builds. Es prüft Raw-Source-Leaks, Credential-Muster, private URLs, unsanitized HTML, externe und kaputte Links, fehlende Quellen, Snapshot-Konsistenz, Corpus-Zählungen, Duplicate-Gruppen, Accessibility-Grundchecks, CSP-Status und den Browser-Smoke-Test. Das Ergebnis soll klar zwischen `PUBLIC RELEASE: BLOCKED`, Warnungen und bestandenen Checks unterscheiden. ### Priorität 2 — Snapshot Diff Explorer Entwickle einen Snapshot Diff Explorer, der zwei Archive-Builds vergleicht. Sichtbar werden neue, entfernte und geänderte Projekte, Frontmatter-Änderungen, Sicherheitsbefunde, neue oder entfernte Embeddings, Duplicate-Gruppen und veränderte Readiness-Grade. Jeder Unterschied erhält Source- und Snapshot-Referenzen, damit das statische Archiv nachvollziehbar versioniert bleibt. ### Priorität 3 — Project Compare Lab Entwickle ein Project Compare Lab für zwei bis vier ausgewählte Projekte. Die Vergleichsansicht zeigt Status, Rebuild Grade, Tech Stack, Zielgruppe, Feature-Scope, Security Findings, Dependencies, Documentation Coverage, RAG Similarity, Source Confidence und Provenance nebeneinander. Das Tool soll Unterschiede erklären und nicht nur Rohfelder in Tabellenform darstellen. ### Priorität 4 — RAG Evaluation Lab Entwickle ein RAG Evaluation Lab mit 20–50 Golden Queries und erwarteten Source-IDs. Es misst Recall@K, Precision@K, MRR, Citation Validity, Unsupported-Claim-Rate sowie den Vergleich zwischen lexical, semantic und hybrid retrieval. Zusätzlich soll es Snapshot-zu-Snapshot-Regressionsvergleiche und eine klare Kennzeichnung für Halluzinations- oder Redaction-Cases liefern. Beispiel: ```text Query: \"Stripe subscription checkout\" Expected sources: 3 Found in top 8: 3 Recall@8: 100% Citation validity: 100% ``` ### Priorität 5 — Unified Archive Workbench Entwickle eine gemeinsame Archive Workbench für lokale Projekte, HTML-Analysen, Ebooks, Kataloge, Prompt-Ideen, Root-Dateien und RAG-Vektoren. Die Workbench bietet getrennte Provenance-Filter und die Modi Browse, Exact search, Hybrid search, Semantic search, Compare und Build handoff. Prompt-Ideen und Katalogdaten bleiben dabei sichtbar getrennt von lokaler Projekt-Evidence.",
            "source": "100-database.md",
            "source_path": "100-database.md",
            "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          }
        ]
      },
      {
        "catalog_type": "prompt_library",
        "catalog_id": "dvag-100",
        "title": "100 DVAG Komplexe HTML5 App-Prompts",
        "description": "Prompt library sourced from dvag-100.md; prompts are ideas, not verified project evidence.",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "count": 100,
        "categories": [
          "ALTERSVORSORGE & RENTE",
          "BERATER-PRODUKTIVITÄT & CRM",
          "FINANZPLANUNG & BERATUNGSTOOLS",
          "IMMOBILIEN-TOOLS & FINANZIERUNG",
          "INVESTMENT & PORTFOLIO TOOLS",
          "KONZERN-DASHBOARDS DVAG MANAGEMENT",
          "KUNDEN-SELF-SERVICE PORTALE",
          "STEUER & RECHT TOOLS",
          "TRAINING & ONBOARDING APPS",
          "VERSICHERUNGS-APPS & BEDARFSANALYSE"
        ],
        "records": [
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-001",
            "title": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard",
            "prompt_number": 1,
            "prompt": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 360° Finanzübersicht mit Einnahmen/Ausgaben Sankey Diagram (D3.js), Vermögensaufbau Timeline 30 Jahre (ApexCharts Area Chart), Cashflow-Waterfall Monatlich (ApexCharts Waterfall), Schuldenabbau-Simulator mit Snowball vs Avalanche Vergleich, Notgroschen-Rechner 3-6 Monate Expenses, Asset Allocation Pie Chart mit Rebalancing Alerts, Steuerbelastung Visualizer progressive Steuersätze, Sparziel-Tracker mit Meilenstein-Badges, PDF-Export Finanzplan DVAG-Branding, Offline-Modus IndexedDB, Dark Mode, GSAP Page Transitions, Mobile Touch Gestures - USE CASE: DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus",
            "overview": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-002",
            "title": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced",
            "prompt_number": 2,
            "prompt": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budget-Kategorien Manager (Housing, Transport, Food, Insurance, Entertainment etc.), Ausgaben-Tracking mit Chart.js Donut Charts, 50/30/20 Rule Visualizer (Needs/Wants/Savings), Trendanalyse Monatlich/Jährlich (ApexCharts Line Charts), Budgetüberschreitungs-Alerts mit Push Notifications API, Vergleich zu Durchschnitt nach Haushaltsgröße und Region, Variable vs Fixed Expenses Breakdown, Saisonale Ausgaben-Muster Heatmap (D3.js), Einsparungspotenzial-Finder AI-basiert, CSV Import/Export, GSAP Animations, Responsive Mobile-First - USE CASE: Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights",
            "overview": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-003",
            "title": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard",
            "prompt_number": 3,
            "prompt": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multiple Income Streams Tracker (W2, Freelance, Dividends, Rental, Business), Income Diversification Score Calculator, Passive vs Active Income Ratio (ApexCharts Radial Bar), Income Growth Projection 10 Jahre (D3.js Multi-Line Chart), Einkommensstabilität-Analyse Volatility Index, Tax Impact Calculator per Income Stream, Side Hustle ROI Analyzer, Income Funnel Visualizer (D3.js Sankey), Monatliche Income Distribution Heatmap, Jahresvergleich Income Mix, GSAP Counter Animations, PWA Offline Support - USE CASE: Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency",
            "overview": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-004",
            "title": "baue ein DVAG Lebensstandard-Planer Retirement",
            "prompt_number": 4,
            "prompt": "baue ein DVAG Lebensstandard-Planer Retirement - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Retirement Lifestyle Calculator, Inflationsanpassung 2-3% jährlich automatisch, Healthcare Cost Projector im Alter, Travel & Leisure Budget Planner, Housing Downsizing Calculator, Longevity Risk Analyzer bis 100 Jahre, Social Security Timing Optimizer (früh vs spät), Renten-Lücken-Rechner mit Visualization (ApexCharts Gap Chart), Lifestyle Inflation Tracker, Bucket Strategy Planner (Short/Mid/Long Term), Geographic Arbitrage Calculator Umzug Low-Cost Areas, GSAP Timeline Scroll Animations - USE CASE: Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken",
            "overview": "baue ein DVAG Lebensstandard-Planer Retirement",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-005",
            "title": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation",
            "prompt_number": 5,
            "prompt": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Family Tree Visualizer mit Finanzzielen (D3.js Hierarchical Layout), Bildungsfinanzierung-Calculator pro Kind (College/Uni Costs), Generational Wealth Transfer Simulator, Erbschaftssteuer-Optimierer, Life Insurance Needs Calculator ganze Familie, Notfallplan Financial Emergency Kit, Income Loss Protection Analysis, Family Budget Consolidator alle Haushaltsmitgliber, Kids Financial Education Tracker Taschengeld & Sparen, Großeltern zu Enkel Transfer 529 Plans, GSAP Family Tree Animations, Collaborative Editing Multi-User - USE CASE: Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert",
            "overview": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-006",
            "title": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit",
            "prompt_number": 6,
            "prompt": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Nettovermögen-Tracker Assets minus Liabilities (ApexCharts Gauge), Asset Breakdown Real Estate/Stocks/Bonds/Cash/Crypto/Business (D3.js Treemap), Liability Details Mortgages/Student Loans/Credit Cards/Car Loans, Net Worth Timeline Historisch & Projektiert (ApexCharts Combo Chart), Debt-to-Asset Ratio Calculator, Liquidity Ratio Analyzer, Vermögensstruktur nach Risiko Low/Medium/High, Rebalancing Recommendations, Tax-Loss Harvesting Opportunities, Estate Value for Inheritance Planning, GSAP Number Counter Animations, Auto-Refresh Dashboard - USE CASE: Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit",
            "overview": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-007",
            "title": "programmiere einen DVAG Notfall-Finanzplan Generator",
            "prompt_number": 7,
            "prompt": "programmiere einen DVAG Notfall-Finanzplan Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Emergency Fund Size Calculator 3-6-12 Monate, Job Loss Income Replacement Simulator, Medical Emergency Cost Estimator, Home Repair Emergency Fund, Auto Breakdown Reserve, Legal Emergency Fund, Income Continuity Plan bei Ausfall, Expense Cutting Roadmap Prioritized (D3.js Flow Diagram), Insurance Coverage Gap Analysis, Quick Access Liquidity Checker, Emergency Contact Financial Info Vault, Scenario Planner What-If Analysis, GSAP Alert Animations, Print Emergency Plan PDF - USE CASE: Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan",
            "overview": "programmiere einen DVAG Notfall-Finanzplan Generator",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-008",
            "title": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder",
            "prompt_number": 8,
            "prompt": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FI Number Calculator 25x Annual Expenses, Current vs Target Networth Gap (ApexCharts Progress Bar), Savings Rate Optimizer 10% bis 70%, Years to FI Calculator mit Compound Interest, Coast FI Calculator wann genug investiert, Barista FI Teil-Retirement Planner, Lean vs Fat FI Lifestyle Chooser, Geographic Arbitrage Impact, Side Hustle Addition Impact, Investment Return Scenarios 5%/7%/10% (D3.js Monte Carlo), Withdrawal Strategy 4% Rule vs Variable, Sequence of Returns Risk Visualizer, GSAP Milestone Animations - USE CASE: Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien",
            "overview": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-009",
            "title": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime",
            "prompt_number": 9,
            "prompt": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lifetime Earnings Calculator Start bis Rente, Gehaltserhöhungs-Projektion 3-5% jährlich, Career Path Comparator Angestellt vs Selbständig vs Beamter, Bildungsinvestition ROI Calculator Master/PhD vs Direkt arbeiten, Job-Wechsel Timing Optimizer maximale Earnings, Branchenwechsel Financial Impact, Geographic Location Salary Adjuster, Remote Work Income Opportunities, Skill Premium Calculator zusätzliche Qualifikationen, Promotion Impact Visualizer, Gender Pay Gap Analyzer, Career Plateau Identifier, GSAP Career Timeline Animations - USE CASE: Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings",
            "overview": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-010",
            "title": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification",
            "prompt_number": 10,
            "prompt": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multi-Goal Tracker (Notfonds, Altersvorsorge, Eigenheim, Auto, Urlaub, Bildung), Goal Priority Ranker Eisenhower Matrix (D3.js Scatter Plot), Progress Bars mit Milestone Badges, Savings Velocity Meter wie schnell zum Ziel (ApexCharts Speedometer), Goal Interdependency Visualizer (D3.js Network Graph), Motivation Boosters Achievement System, Social Sharing Progress optional, Automatic Savings Allocator zu Goals, Goal Conflict Resolver bei Budget-Limits, Celebration Animations GSAP bei erreichten Meilensteinen, Timeline View alle Goals (D3.js Gantt), Retrospective Goal Analysis was funktioniert - USE CASE: Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking ## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS",
            "overview": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification",
            "category": "FINANZPLANUNG & BERATUNGSTOOLS",
            "category_number": 1,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking ## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-011",
            "title": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional",
            "prompt_number": 11,
            "prompt": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Portfolio Holdings Table sortable/filterable, Asset Allocation Donut Chart Aktien/Anleihen/Immobilien/Cash/Alternative (ApexCharts), Sector Allocation Breakdown (D3.js Treemap), Geographic Diversification World Map (D3.js Geo), Performance Attribution Analysis, Risk Metrics Volatility/Sharpe/Sortino/Max Drawdown, Correlation Matrix Heatmap Assets (D3.js), Rebalancing Calculator mit Band-Width 5%, Tax-Aware Rebalancing, Portfolio Overlap Detector bei mehreren Depots, Factor Exposure Value/Growth/Momentum, Benchmark Comparison S&P500/MSCI World, GSAP Chart Transitions - USE CASE: Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap",
            "overview": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-012",
            "title": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced",
            "prompt_number": 12,
            "prompt": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Selektor nach Kriterien TER/Tracking Difference/Volumen/Replizierung, Core-Satellite Strategie Builder 70/30 bis 90/10, Sparrate-Calculator monatlich/quartalsweise, Compound Interest Simulator 30 Jahre (ApexCharts Area Chart), Rebalancing Frequency Optimizer jährlich vs quartalsweise, Tax-Optimized ETF Selection Thesaurierend vs Ausschüttend Deutschland, Ausschüttungsrendite-Tracker, Cost Comparison Broker-Gebühren TER Impact, Index-Wahl MSCI World vs FTSE All-World vs S&P500, Small Cap Value Tilt Calculator, Emerging Markets Allocation, Dividend ETF vs Growth ETF Comparison, GSAP Scroll Animations - USE CASE: Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau",
            "overview": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-013",
            "title": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional",
            "prompt_number": 13,
            "prompt": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dividend Aristocrats Screener 25+ Jahre Erhöhungen, Dividend Yield vs Growth Matrix (D3.js Scatter Plot), Payout Ratio Safety Analyzer, Dividend Growth Rate Calculator CAGR, Forward Dividend Income Projector 10 Jahre (ApexCharts), Dividend Calendar Zahlungstermine (D3.js Timeline), DRIP Reinvestment Impact Calculator, Sector Diversification Dividends, International Dividend Stocks Withholding Tax, Dividend Tax Treatment Deutschland Teilfreistellung, Dividend Safety Score Composite, Yield on Cost Tracker, Monthly Dividend Income Builder, GSAP Dividend Payment Animations - USE CASE: Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus",
            "overview": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-014",
            "title": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse",
            "prompt_number": 14,
            "prompt": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Crypto Holdings Tracker BTC/ETH/Altcoins mit Live-Preisen Mock-API, Portfolio Allocation Pie Chart (ApexCharts), Volatility Tracker 30-Day Rolling (ApexCharts Candlestick), Crypto Correlation Matrix (D3.js Heatmap), Bitcoin Dominance Indicator, DCA Dollar-Cost-Averaging Calculator, Tax-Loss Harvesting Crypto Deutschland, Cold Wallet Allocation Empfehlung, Crypto Risk Score Volatility-Based, Altcoin Exposure Warnings, Stablecoin Reserve Optimizer, Crypto Fear & Greed Index Display, Blockchain Transaction Visualizer (D3.js Network), GSAP Price Change Animations - USE CASE: Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization",
            "overview": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-015",
            "title": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional",
            "prompt_number": 15,
            "prompt": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bond Ladder Visualizer 1-30 Jahre Laufzeiten (D3.js Gantt), Yield-to-Maturity Calculator, Duration & Convexity Analyzer, Interest Rate Risk Simulator Rising/Falling Rates, Credit Rating Breakdown AAA bis Junk (ApexCharts Stacked Bar), Municipal Bonds Tax-Equivalent Yield, Corporate Bonds vs Government Bonds Spread, Inflation-Protected TIPS Calculator, Callable Bonds Risk Analyzer, Bond Allocation nach Alter Glide Path, Coupon Payment Calendar, Bond Fund vs Individual Bonds Comparison, GSAP Bond Maturity Animations - USE CASE: Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield",
            "overview": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-016",
            "title": "entwickle ein DVAG Alternative-Investments-Dashboard",
            "prompt_number": 16,
            "prompt": "entwickle ein DVAG Alternative-Investments-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alternative Assets Tracker Gold/Commodities/Art/Wine/Collectibles, Real Estate Crowdfunding Portfolio, Private Equity Holdings, Peer-to-Peer Lending Returns, Correlation zu Traditional Assets (D3.js Heatmap), Liquidity Risk Analyzer Lock-Up Periods, Alternative Investment Allocation 5-20% Portfolio, Inflation Hedge Calculator Gold/Commodities, Vintage Performance Tracker Wine Investment, NFT Portfolio Tracker optional, Hedge Fund Allocation, Venture Capital Exposure, GSAP Alternative Asset Animations - USE CASE: Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio",
            "overview": "entwickle ein DVAG Alternative-Investments-Dashboard",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-017",
            "title": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced",
            "prompt_number": 17,
            "prompt": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Factor Exposure Analyzer Value/Growth/Momentum/Quality/Low Volatility/Size, Faktor-Prämien Historical Returns (ApexCharts Multi-Line), Portfolio Factor Loading (D3.js Radar Chart), Factor Timing Indicators, Multi-Factor Portfolio Builder, Factor Correlation Matrix, Smart Beta ETF Selector, Factor Concentration Risk, Value Spread Indicator günstig vs teuer, Momentum Ranking System, Quality Score Composite, Size Premium Small vs Large Cap, GSAP Factor Visualization Animations - USE CASE: Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns",
            "overview": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-018",
            "title": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization",
            "prompt_number": 18,
            "prompt": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Target Allocation Comparison (ApexCharts Radar), Drift Analyzer wie weit von Target (D3.js Bar Chart Deviation), Rebalancing Trade Calculator minimale Trades, Tax-Lot Optimizer Highest Cost Basis zuerst, Wash Sale Rule Checker, Capital Gains Impact Estimator Short vs Long-Term, Rebalancing Frequency Optimizer, Threshold-Based Rebalancing 5%/10%/20% Bands, Cash Flow Rebalancing mit neuen Beiträgen, Asset Location Optimizer Taxable vs Tax-Deferred, Transaction Cost Minimizer, Rebalancing History Tracker, GSAP Trade Animations - USE CASE: Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing",
            "overview": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-019",
            "title": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced",
            "prompt_number": 19,
            "prompt": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: DCA vs Lump Sum Comparison Historisch (ApexCharts Line Chart), Monte Carlo Simulation 1000 Runs (D3.js Distribution), Volatility Impact auf DCA, DCA Schedule Optimizer monatlich/wöchentlich/täglich, Market Timing Failure Visualizer, Bear Market DCA Advantage, Psychological Benefit Score DCA, Automated Investment Plan Builder, Cost Basis Tracking, DCA Performance verschiedene Assets, Scenario Planner Bull/Bear/Sideways Market, Historical Backtest S&P500 40 Jahre, GSAP DCA Purchase Animations - USE CASE: Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren",
            "overview": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-020",
            "title": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical",
            "prompt_number": 20,
            "prompt": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historical Factor Performance 1930-2024 (ApexCharts Multi-Line), Value Premium Tracker HML High-Minus-Low, Size Premium SMB Small-Minus-Big, Momentum Premium UMD Up-Minus-Down, Quality Premium RMW Robust-Minus-Weak, Factor Drawdown Analysis, Factor Cyclicality Bull vs Bear Markets, Multi-Factor Portfolio Backtester, Sharpe Ratio Comparison Factors, Factor Regression Analyzer, Long Dry Spells Identifier Value Lost Decade, Factor Diversification Benefit, GSAP Historical Chart Animations - USE CASE: Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data ## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "overview": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical",
            "category": "INVESTMENT & PORTFOLIO TOOLS",
            "category_number": 2,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data ## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-021",
            "title": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett",
            "prompt_number": 21,
            "prompt": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Human Life Value Calculator Einkommen kapitalisiert, DIME Method Debt/Income/Mortgage/Education, Needs-Based Analysis Family Income Replacement, Term Life vs Whole Life Comparison (ApexCharts Bar Chart), Laddering Strategy Visualizer 10/20/30 Jahre (D3.js Timeline), Premium Calculator Alter/Gesundheit/Betrag, Benefit Calculator Todesfall-Summe, Mortgage Protection Analyzer, Children Education Fund Bedarf, Final Expenses Bestattung, Income Replacement Duration bis Rente, Inflation Adjuster Kaufkraft, Coverage Gap Identifier Unterversicherung, GSAP Insurance Needs Animations - USE CASE: Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance",
            "overview": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-022",
            "title": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional",
            "prompt_number": 22,
            "prompt": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: BU-Renten-Bedarf Calculator 60-80% Nettoeinkommen, Versorgungslücken-Analyse gesetzlich vs privat, Berufsgruppen-Risiko-Bewertung (D3.js Risk Matrix), Leistungsdauer bis 67 Jahre, Dynamik-Option Inflation Protection, Prämien-Vergleich mit/ohne Dynamik (ApexCharts), Abstract vs Konkrete Verweisung Impact, Gesundheitsfragen-Simulator, Ausschlüsse & Einschränkungen Visualizer, Wartezeit & Karenzzeit Erklärer, BU-Rente steuerliche Behandlung, Nachversicherungsgarantie Wert-Rechner, GSAP Risk Animations - USE CASE: Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung",
            "overview": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-023",
            "title": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV",
            "prompt_number": 23,
            "prompt": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: PKV vs GKV Lifetime Cost Comparison (ApexCharts Line Chart), Einkommensschwelle Wechsel PKV 66.600€, Familienplanung Impact Kinder GKV kostenlos, Selbstbehalt-Optimizer 300€ bis 2000€, Beitragsrückerstattung Calculator, Altersrückstellungen PKV Visualizer, Beitragsentwicklung Prognose 40 Jahre, Leistungsvergleich Einzelzimmer/Chefarzt, Zusatzversicherungen Bedarf Zahn/Brille/Heilpraktiker, Auslandsreise-Krankenversicherung, Pflegepflichtversicherung, Wechsel-Szenarien zurück in GKV, GSAP Comparison Animations - USE CASE: Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung",
            "overview": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-024",
            "title": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden",
            "prompt_number": 24,
            "prompt": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassische Rentenversicherung vs Fondsgebundene Comparison, Garantiezins Impact 0.25% aktuell, Überschussbeteiligung Historical, Fondspolice Performance-Szenarien 4%/6%/8% (ApexCharts), Kosten-Transparenz Effektivkosten, Ablaufleistung Calculator, Lebenslange Rente vs Kapital-Option, Dynamik-Option bei Rentenpolicen, Hinterbliebenenschutz Rentengarantiezeit, Berufsunfähigkeits-Zusatzversicherung in Police, Steuerliche Behandlung Ertragsanteil, Riester/Rürup Integration möglich, GSAP Renten-Animations - USE CASE: Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz",
            "overview": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-025",
            "title": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool",
            "prompt_number": 25,
            "prompt": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rechtsschutz-Bereiche Checker Privat/Beruf/Verkehr/Wohnen/Steuer, Risiko-Assessment nach Lebenssituation (D3.js Risk Matrix), Selbstbeteiligung-Optimizer 150€ bis 500€, Deckungssummen-Empfehlung, Wartezeit-Erklärer 3 Monate, Leistungsausschlüsse Visualizer, Mediation-Option, Strafrechtsschutz Verkehr, Arbeitsrechtsschutz Kündigung, Mietrechtsschutz Vermieter/Mieter, Steuerrechtsschutz Finanzamt, Familienrechtsschutz, GSAP Rechtsbereich Animations - USE CASE: Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang",
            "overview": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-026",
            "title": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung",
            "prompt_number": 26,
            "prompt": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Hausrat-Wert-Ermittlung Pauschal 650€/m², Einzelbewertung Möbel/Elektronik/Schmuck/Kunst, Unterversicherung-Risiko Visualizer (ApexCharts Gauge), Versicherungssummen-Empfehlung, Wertsachen-Grenze 20% Standard, Fahrrad-Diebstahl Nachts draußen, Elementarschaden-Zusatz Hochwasser/Starkregen, Glasbruch-Versicherung, Grobe Fahrlässigkeit Mitversichert, Neuwert vs Zeitwert Erstattung, Hausrat im Ausland Urlaub, Prämien-Vergleich verschiedene Summen, GSAP Value Counter Animations - USE CASE: Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme",
            "overview": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-027",
            "title": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich",
            "prompt_number": 27,
            "prompt": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadenfreiheitsklasse-Tracker SF 0 bis SF 35, Selbstbeteiligung-Optimizer Vollkasko/Teilkasko (ApexCharts Break-Even), Rabatt-Maximizer Garage/Wenigfahrer/Partner, Schadenfreiheitsrabatt-Retter bei Schaden, Typklasse & Regionalklasse Info, Neuwert-Entschädigung GAP-Versicherung, Werkstattbindung Rabatt vs Flexibilität, Mallorca-Police Ausland, Fahrerschutz-Versicherung, Telematik-Tarife Score-Based, Versicherungswechsel-Timing Stichtag 30.11., Prämien-Entwicklung Projection (D3.js), GSAP Car Animations - USE CASE: Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl",
            "overview": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-028",
            "title": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten",
            "prompt_number": 28,
            "prompt": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflegegrad-Erklärer 1 bis 5, Pflegekosten-Rechner Heim vs Ambulant (ApexCharts Stacked Bar), Pflegelücke gesetzlich vs privat, Tagegeld-Bedarfsermittlung, Pflege-Bahr geförderte Versicherung, Dynamik-Option Leistungsanpassung, Wartezeit 5 Jahre Standard, Leistung bei Demenz, Assistance-Leistungen Organisation, Einmalzahlung bei Pflegefall, Pflege-Rente lebenslang, Angehörigen-Pflege Unterstützung, GSAP Pflege-Level Animations - USE CASE: Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt",
            "overview": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-029",
            "title": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool",
            "prompt_number": 29,
            "prompt": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Laddering Strategy Builder 3-5 Policen (D3.js Timeline), Bedarf-Reduktion über Zeit Hypothek abbezahlt/Kinder erwachsen, Premium-Optimizer gestaffelte Laufzeiten billiger, Coverage Amount pro Stufe Calculator, Term Length Optimizer 10/15/20/25/30 Jahre, Gesamt-Prämie Laddering vs Single Policy (ApexCharts), Return of Premium Option Kosten, Convertibility Option zu Whole Life, Contestability Period 2 Jahre, Suicide Clause, Medical Exam vs No-Exam Policies, Laddering Visualization interactive (D3.js), GSAP Ladder Animations - USE CASE: Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung",
            "overview": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-030",
            "title": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht",
            "prompt_number": 30,
            "prompt": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Versicherungen Übersicht Leben/BU/Kranken/Haftpflicht/Hausrat/Kfz/Rechtsschutz, Prämien-Summe monatlich/jährlich (ApexCharts Pie Chart Anteil), Coverage Gaps Identifier Unterversicherung, Overlap Detector Doppelversicherung, Versicherungs-Optimierungspotenzial, Policen-Ablauf Kalender wichtige Termine, Schadenfall-Melde-Assistent, Vertrags-Dokumente Vault, Beneficiary Management Begünstigte, Insurance Score Gesamtbewertung, Cost-Benefit Ratio Calculator, Versicherungs-Checkliste Lebensphase, GSAP Portfolio Animations - USE CASE: Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten ## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG",
            "overview": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht",
            "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
            "category_number": 3,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten ## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-031",
            "title": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced",
            "prompt_number": 31,
            "prompt": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Annuitäten-Darlehen Calculator Zinssatz/Tilgung/Laufzeit, Tilgungsplan-Visualizer 30 Jahre Monat für Monat (D3.js), Forward-Darlehen Planer Zinsbindung 5/10/15/20 Jahre, Sondertilgungs-Impact Simulator jährlich 5%, Anschlussfinanzierungs-Rechner nach Zinsbindung, Eigenkapital-Optimizer 10% bis 30%, Nebenkosten-Rechner Notar/Grunderwerbsteuer/Makler, Haushaltsrechnung Belastungsgrenze 40% Netto, Förderkredit KfW-Darlehen Integration, Kaufpreis vs Miete Comparison 30 Jahre (ApexCharts), Wertsteigerung Immobilie Projection, GSAP Loan Amortization Animations - USE CASE: Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent",
            "overview": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-032",
            "title": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let",
            "prompt_number": 32,
            "prompt": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Mietrendite Calculator Jahresnettokaltmiete/Kaufpreis, Netto-Mietrendite nach Kosten Hausgeld/Instandhaltung/Verwaltung, Eigenkapitalrendite mit Fremdfinanzierung Leverage, Cashflow-Rechner monatlich (ApexCharts Waterfall), Cap Rate Calculator, Cash-on-Cash Return, Loan-to-Value Ratio, Vacancy Rate Impact 5-10%, Property Management Kosten, Maintenance Reserve 1% Kaufpreis jährlich, Property Tax Grundsteuer, Rental Income Growth 2% jährlich, GSAP Rendite Animations - USE CASE: Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten",
            "overview": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-033",
            "title": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert",
            "prompt_number": 33,
            "prompt": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichswertverfahren Rechner ähnliche Objekte, Ertragswertverfahren Vermietete Objekte Kapitalisierung, Sachwertverfahren Substanzwert, Lage-Bewertungs-Matrix Mikro/Makro-Lage (D3.js Heatmap), Ausstattungs-Score Standard/Gehoben/Luxus, Zustand-Bewertung Modernisierungsbedarf, Grundstücks-Bewertung Bodenrichtwert, Marktwert-Ermittlung nach WertV, Verkehrswert-Gutachten Simulator, Wertsteigerungspotenzial Prognose, Objektvergleich Side-by-Side bis 5 Immobilien, GSAP Valuation Animations - USE CASE: Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert",
            "overview": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-034",
            "title": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung",
            "prompt_number": 34,
            "prompt": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zinsbindungs-Strategie Chooser 5/10/15/20/25/30 Jahre, Variable vs Fixed Rate Comparison, Split-Strategie 50% fix + 50% variabel, Forward-Darlehen Timing Optimizer, Zinsentwicklungs-Szenarien steigend/fallend/konstant (ApexCharts), Restschuld-Entwicklung verschiedene Strategien (D3.js Multi-Line), Sondertilgungs-Rechte 5-10% jährlich, Volltilger-Darlehen Laufzeit-Reduktion, KfW-Förderkredite kombinieren, Bereitstellungszins-Vermeidung, Vorfälligkeitsentschädigung Calculator bei Kündigung, GSAP Strategy Comparison Animations - USE CASE: Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz",
            "overview": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-035",
            "title": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI",
            "prompt_number": 35,
            "prompt": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: ROI Calculator Return on Investment Total, IRR Internal Rate of Return Calculation, NPV Net Present Value Discounted Cashflows, Payback Period Calculator, Equity Multiple Rechner, Total Return inkl. Wertsteigerung + Cashflow (ApexCharts), Tax Benefits Abschreibung AfA 2-3% jährlich, Leverage Impact 80% Fremdfinanzierung, Exit Strategy Analyzer Verkauf nach 10/15/20 Jahren, Market Appreciation verschiedene Szenarien 2-5%, Inflation Impact Real Returns, Opportunity Cost vs Aktien ETF Comparison, GSAP ROI Animations - USE CASE: Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits",
            "overview": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-036",
            "title": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator",
            "prompt_number": 36,
            "prompt": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kaufen vs Mieten 30-Jahre-Vergleich Total Cost (ApexCharts Line Chart), Opportunity Cost Calculator Eigenkapital in ETF investiert, Maintenance Cost Eigenheim 1% jährlich, Property Tax vs keine bei Miete, Transaction Costs Kauf/Verkauf Notar/Makler, Mobility Flexibility Score Miete höher, Forced Savings Eigenheim, Leverage Benefit Eigenkapital-Rendite, Home Equity Build-up (D3.js Area Chart), Rent vs Buy Break-Even Point, Market Scenarios Immobilienpreise steigen/fallen, Emotional Benefits Eigenheim, GSAP Comparison Animations - USE CASE: Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete",
            "overview": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-037",
            "title": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten",
            "prompt_number": 37,
            "prompt": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundstückskosten Budget, Baukosten Quadratmeterpreis 1500-3000€, Baunebenkosten 15-20% Architekt/Statiker/Bauantrag, Außenanlagen Garten/Einfahrt/Zaun, Eigenleistung-Kalkulator Muskelhypothek, Kostenpuffer 10-15% Unvorhergesehenes, Finanzierungskosten während Bauphase Bereitstellungszins, Förderung KfW 40/40+ Zuschüsse, Bauzeit-Planer Monate bis Fertigstellung (D3.js Gantt Chart), Zahlungsplan nach Baufortschritt, Abnahme-Kosten Gutachter, Innenausstattung Küche/Bäder, GSAP Budget Build-up Animations - USE CASE: Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung",
            "overview": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-038",
            "title": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property",
            "prompt_number": 38,
            "prompt": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Property Dashboard alle Immobilien (D3.js Map Locations), Portfolio Performance ROI/Cashflow gesamt, Loan-to-Value Ratio Portfolio, Diversifikation Score Geographic/Property Type, Total Equity Build-up alle Properties, Vacancy Rates Tracking, Maintenance Issues Tracker, Tenant Management pro Property, Rental Income Streams (ApexCharts Stacked Area), Property Appreciation Timeline, Debt Service Coverage Ratio, Portfolio Rebalancing Recommendations Verkauf/Kauf, GSAP Multi-Property Animations - USE CASE: Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral",
            "overview": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-039",
            "title": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung",
            "prompt_number": 39,
            "prompt": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Renovierungs-Maßnahmen ROI Küche/Bad/Dach/Fenster/Heizung, Cost vs Value Report verschiedene Projekte (ApexCharts Bar Chart), Wertsteigerung Percentage pro Maßnahme, Energy Efficiency Upgrades KfW-Förderung, Curb Appeal Projects Vorgarten/Fassade, Kitchen Remodel ROI 60-80%, Bathroom Remodel ROI 50-70%, Roof Replacement ROI, HVAC System Upgrade, Window Replacement Energy Savings, Prioritization Matrix Impact vs Cost (D3.js Scatter), Financing Options Modernisierungskredit, GSAP Renovation Animations - USE CASE: Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI",
            "overview": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-040",
            "title": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer",
            "prompt_number": 40,
            "prompt": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Refinancing Calculator neuer Zins vs aktuell, Break-Even Point Refinanzierung-Kosten vs Savings (ApexCharts), Vorfälligkeitsentschädigung Calculator bei vorzeitiger Ablösung, Cash-Out Refinancing Option Equity herausnehmen, Rate-and-Term Refinancing, Interest-Only to Principal-Interest Switch, ARM to Fixed Rate Conversion, Loan Term Reduction 30 zu 15 Jahre, Closing Costs Estimate Notar/Grundbuch, Monthly Payment Reduction (D3.js Comparison), Lifetime Interest Savings, Market Timing Zinsentwicklung, GSAP Refinancing Animations - USE CASE: Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung ## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM",
            "overview": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer",
            "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
            "category_number": 4,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung ## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-041",
            "title": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management",
            "prompt_number": 41,
            "prompt": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kunden-Datenbank sortable/filterable/searchable, Contact Management Telefon/Email/Adresse, Kundenlebenszyklus-Status Interessent/Neukunde/Bestandskunde/Inaktiv (D3.js Funnel), Produktbesitz-Matrix Kunde x Produkte, Cross-Sell Opportunities Identifier, Nächste Kontakt-Termine Kalender, Geburtstags-Reminder, Vertragsablauf-Alerts, Notes & Communication History, Customer Lifetime Value Berechnung, Kundensegmentierung ABC-Analyse, Referral Tracking Empfehlungen, GSAP CRM Animations - USE CASE: DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up",
            "overview": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-042",
            "title": "entwickle einen DVAG Provisions-Tracker mit Forecasting",
            "prompt_number": 42,
            "prompt": "entwickle einen DVAG Provisions-Tracker mit Forecasting - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Provisions-Dashboard monatlich/quartalsweise/jährlich (ApexCharts Column Chart), Produktarten-Mix Lebensversicherung/BU/Fonds/Immobilien, Bestands-Provisionen vs Abschluss-Provisionen, Provisions-Forecast basierend auf Pipeline, Commission Structure Visualizer Staffelung nach Volumen, YTD Year-to-Date Tracking, Quota Attainment Prozent vom Ziel, Leaderboard Ranking im Team, Top Producers Analyse, Revenue per Client Calculation, Churn Rate Impact auf Bestandsprovisionen, Seasonal Patterns Heatmap (D3.js), GSAP Commission Counter Animations - USE CASE: DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix",
            "overview": "entwickle einen DVAG Provisions-Tracker mit Forecasting",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-043",
            "title": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling",
            "prompt_number": 43,
            "prompt": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kalender-Ansicht Tag/Woche/Monat, Termin-Buchung mit Kundenauswahl, Termin-Typen Erstgespräch/Beratung/Jahresgespräch/Vertragsabschluss, Zeitslot-Blocker für Admin-Zeit, Erinnerungs-System 24h/1h vor Termin, No-Show Tracking, Doppelbuchung-Prevention, Travel Time Calculator zwischen Terminen, Kundenwunsch-Zeitfenster, Meeting Notes Attachment, Follow-up Task Creation nach Termin, Google Calendar Sync Mock, GSAP Calendar Animations - USE CASE: DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung",
            "overview": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-044",
            "title": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter",
            "prompt_number": 44,
            "prompt": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sales Funnel Visualizer Leads/Qualifiziert/Proposal/Negotiation/Closed (D3.js Funnel Chart), Conversion Rates pro Stage, Deal Value in Pipeline Total, Weighted Pipeline Wahrscheinlichkeit × Wert, Average Sales Cycle Tage von Lead zu Close, Win Rate Calculator Abschlussquote, Lead Source Tracking Empfehlung/Kaltakquise/Event/Online, Pipeline Velocity wie schnell Deals durchlaufen, Lost Reasons Analysis warum verloren, Sales Activities Calls/Meetings/Proposals, Top Deals highlighting, Pipeline Health Score, GSAP Funnel Animations - USE CASE: DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline",
            "overview": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-045",
            "title": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage",
            "prompt_number": 45,
            "prompt": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dokumenten-Upload Verträge/Ausweise/Einkommensnachweise, Dokumenten-Kategorisierung Versicherung/Investment/Steuer/Immobilien, Verschlüsselung Mock Sicherheit, Versions-Kontrolle Dokumente, Ablaufdatum-Tracking Ausweisdokumente, OCR Mock Text-Extraktion, Volltextsuche in Dokumenten, Sharing-Links zeitlich begrenzt, Audit Trail wer hat wann zugegriffen, Storage Quota Visualizer (ApexCharts Gauge), Backup & Export Funktion, Compliance DSGVO-konform, GSAP Document Upload Animations - USE CASE: DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen",
            "overview": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-046",
            "title": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel",
            "prompt_number": 46,
            "prompt": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Communication Timeline alle Touchpoints Telefon/Email/SMS/WhatsApp/persönlich (D3.js Timeline), Kontakt-Frequenz Tracking, Last Contact Date Reminder, Communication Preferences Kunde bevorzugt Email/Telefon, Email Template Library, SMS Bulk-Versand Geburtstage, WhatsApp Business Integration Mock, Call Notes pro Gespräch, Email Open/Click Tracking Mock, Response Time Analyzer, Follow-up Reminder Engine, Communication Volume Heatmap (D3.js), GSAP Message Animations - USE CASE: DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle",
            "overview": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-047",
            "title": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance",
            "prompt_number": 47,
            "prompt": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Beratungsprotokoll-Generator nach §34f GewO, Compliance-Checkliste alle Pflichtangaben, Risikoklassen-Ermittlung Kunde, Geeignetheits-Prüfung Produkt vs Kunde Match, Beratungsnachweis-PDF automatisch, Dokumentationspflicht-Erfüller, Haftungsrisiko-Minimizer, Widerrufsbelehrung Generator, Produktinformationsblatt Attachment, Vergütung-Offenlegung Pflicht, Beratungsfehler-Vermeidung, Quality Score pro Beratung (ApexCharts Radar), GSAP Compliance Animations - USE CASE: DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation",
            "overview": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-048",
            "title": "baue ein DVAG Berater-Performance-Dashboard Analytics",
            "prompt_number": 48,
            "prompt": "baue ein DVAG Berater-Performance-Dashboard Analytics - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Dashboard Abschlüsse/Umsatz/Neukundenrate/Cross-Sell-Quote, Monatliche Performance Trends (ApexCharts Line Charts), Ziel vs Ist Comparison, Product Mix Analysis Diversifikation, Customer Acquisition Cost Calculator, Customer Lifetime Value, Retention Rate Bestandskunden, Referral Rate Empfehlungsquote, Activities Metrics Calls/Meetings/Proposals pro Woche, Time Management Analyse produktive vs administrative Zeit, Peer Comparison anonymisiert, Growth Rate YoY Year-over-Year, GSAP KPI Counter Animations - USE CASE: DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance",
            "overview": "baue ein DVAG Berater-Performance-Dashboard Analytics",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-049",
            "title": "erstelle ein DVAG Lead-Scoring-System Priorisierung",
            "prompt_number": 49,
            "prompt": "erstelle ein DVAG Lead-Scoring-System Priorisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead Scoring Model demografisch/verhaltensbezogen/firmografisch, Score Calculation 0-100 Punkte, Lead Grade A/B/C/D basierend auf Score (D3.js Scatter Plot Score vs Engagement), Behavioral Signals Website-Besuche/Email-Opens/Content-Downloads, Demographic Factors Alter/Einkommen/Familie, Firmographic Factors Branche/Unternehmensgröße bei B2B, Engagement Level Interaktionen, Buying Intent Signals, Negative Scoring Disqualifiers, Lead Source Quality Rating, Automated Lead Assignment basierend auf Score, Lead Nurturing Recommendations, GSAP Lead Score Animations - USE CASE: DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads",
            "overview": "erstelle ein DVAG Lead-Scoring-System Priorisierung",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-050",
            "title": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training",
            "prompt_number": 50,
            "prompt": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainings-Fortschritt Dashboard alle Kurse, Skill-Bewertung Radar Chart (ApexCharts) Produkte/Compliance/Sales/Soft Skills, Zertifikate Tracker IHK/Sachkundenachweise, Weiterbildungs-Pflicht 15h jährlich, Learning Path Visualizer vom Einstieg zum Senior Berater (D3.js Tree), Quiz-Scores Wissensüberprüfung, Video-Trainings Completed, Peer Learning Studiengruppen, Mentorship Program Match, Career Progression Timeline, Next Certification Reminder, CPE Continuing Professional Education Tracker, GSAP Learning Animations - USE CASE: DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team ## Kategorie 6: STEUER & RECHT TOOLS",
            "overview": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training",
            "category": "BERATER-PRODUKTIVITÄT & CRM",
            "category_number": 5,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team ## Kategorie 6: STEUER & RECHT TOOLS",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-051",
            "title": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert",
            "prompt_number": 51,
            "prompt": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Netto-Rechner Lohnsteuer/Soli/Kirchensteuer, Steuerklassen 1-6 Auswahl, Progressionsvorbehalt Visualizer (ApexCharts Stacked Area), Grenzsteuersatz vs Durchschnittssteuersatz, Kalte Progression Impact Inflation, Abzugsfähige Kosten Werbungskosten/Sonderausgaben/außergewöhnliche Belastungen, Steuerfreibeträge Grundfreibetrag/Kinderfreibetrag/Sparerpauschbetrag, Solidaritätszuschlag 5.5% ab 2021 Grenze, Kirchensteuer 8-9% je Bundesland, Steuererstattung Calculator, Jahressteuererklärung Simulator, Tax Bracket Visualizer (D3.js), GSAP Tax Calculation Animations - USE CASE: Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge",
            "overview": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-052",
            "title": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer",
            "prompt_number": 52,
            "prompt": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Abgeltungsteuer 25% + Soli 5.5% = 26.375%, Sparerpauschbetrag 1000€ Single / 2000€ Married, Freistellungsauftrag Manager mehrere Banken, Günstigerprüfung wenn persönlicher Steuersatz < 25%, Teilfreistellung Aktienfonds 30% / Mischfonds 15% / Immobilienfonds 60%, Kirchensteuer auf Kapitalerträge, Quellensteuer Ausland anrechenbar, Verlustverrechnung Aktien/Sonstige, Verlustverrechnungstopf Carry-Forward, Zinsen/Dividenden/Kursgewinne separate Töpfe, Tax-Loss Harvesting Strategie, Steueroptimierung Thesaurierend vs Ausschüttend ETF (ApexCharts), GSAP Tax Optimization Animations - USE CASE: Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal",
            "overview": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-053",
            "title": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge",
            "prompt_number": 53,
            "prompt": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbschaftsteuer-Calculator nach Verwandtschaftsgrad, Freibeträge Ehepartner 500k / Kinder 400k / Enkel 200k / Geschwister 20k, Steuerklassen I/II/III unterschiedliche Sätze (ApexCharts Bar Chart), Stufentarif 7% bis 50%, Selbstgenutzte Immobilie steuerfrei Ehepartner/Kinder unter Bedingungen, 10-Jahres-Regel mehrfache Schenkungen, Nießbrauch-Rechner Wert-Minderung, Kettenschenkung Optimierung Eltern→Kinder→Enkel, Berliner Testament Steuernachteil, Günstigere Varianten Vermögen verteilen, Erbschaftsteuer-Optimierungs-Strategien (D3.js Flow), GSAP Inheritance Animations - USE CASE: Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung",
            "overview": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-054",
            "title": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie",
            "prompt_number": 54,
            "prompt": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schenkungsteuer identisch mit Erbschaftsteuer Freibeträge/Sätze, 10-Jahres-Frist-Tracker Freibeträge alle 10 Jahre erneut, Schenkungsplan-Optimizer Vermögensübertragung über 30 Jahre (D3.js Timeline), Kettenschenkung Eltern→Kinder→Enkel doppelte Freibeträge, Nießbrauch-Vorbehalt Schenkung mit Nutzungsrecht, Wohnrecht-Eintragung Immobilienschenkung, Rückforderungsvorbehalt wenn Beschenkter vorverstirbt, Schenkung unter Auflage Pflege im Alter, Gemischte Schenkung Teil entgeltlich, Taggenaue Berechnung 10-Jahres-Frist, Steuerersparnis-Visualizer Schenkung vs Erbe (ApexCharts), GSAP Gift Planning Animations - USE CASE: Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie",
            "overview": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-055",
            "title": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL",
            "prompt_number": 55,
            "prompt": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: VL-Betrag Arbeitgeber max 40€/Monat, Arbeitnehmersparzulage 20% auf Aktien-VL (max 400€ VL → 80€ Zulage), Einkommensgrenzen Ledige 40.000€ / Verheiratete 80.000€, VL-Anlagemöglichkeiten Bausparvertrag/Aktien-Fondssparplan/Banksparplan, Sperrfrist 7 Jahre, VL-Fondssparplan Rendite-Projektion (ApexCharts Line Chart), Arbeitgeberzuschuss + Sparzulage + Rendite = Total Benefit, VL vs selbst sparen Comparison, Steuerfreie Einzahlung des Arbeitgebers, Zulageantrag automatisch vs manuell, VL-Rechner verschiedene Szenarien (D3.js), GSAP VL Animations - USE CASE: Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat",
            "overview": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-056",
            "title": "entwickle einen DVAG Riester-Renten-Rechner Förderquote",
            "prompt_number": 56,
            "prompt": "entwickle einen DVAG Riester-Renten-Rechner Förderquote - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Riester-Zulagen Grundzulage 175€/Jahr + Kinderzulage 300€/Kind, Mindesteigenbeitrag 4% Bruttoeinkommen minus Zulagen, Sockelbeitrag 60€/Jahr Minimum, Steuerliche Förderung Sonderausgabenabzug max 2100€, Günstigerprüfung Zulage vs Steuervorteil, Förderquote Calculator Zulagen/Eigenbeitrag, Riester-Produktvergleich Versicherung/Fondssparplan/Banksparplan/Wohn-Riester, Zulagenantrag Permanent-Zulagenantrag, Schädliche Verwendung Auszahlung vor Rente, Nachgelagerte Besteuerung Rentenbezug, Riester vs ETF-Sparplan Vergleich (ApexCharts), GSAP Riester Animations - USE CASE: Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen",
            "overview": "entwickle einen DVAG Riester-Renten-Rechner Förderquote",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-057",
            "title": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige",
            "prompt_number": 57,
            "prompt": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rürup-Basisrente für Selbständige/Freiberufler, Steuerliche Absetzbarkeit 2024: 100% von max 27.566€ (Ledige) / 55.132€ (Verheiratete), Steuervorteil-Rechner nach persönlichem Steuersatz, Nachgelagerte Besteuerung in Rente, Rürup vs private Altersvorsorge Vergleich (ApexCharts), Kapitalwahlrecht nicht möglich nur lebenslange Rente, Hartz-IV-sicher Pfändungsschutz, Vererbung nicht möglich außer Hinterbliebenenrente, Zusatzbausteine BU/Hinterbliebenenabsicherung, Rürup-Produktvergleich Versicherung vs Fondssparplan, Rendite-Projektion (D3.js), GSAP Rürup Animations - USE CASE: Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis",
            "overview": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-058",
            "title": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV",
            "prompt_number": 58,
            "prompt": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: bAV-Durchführungswege Direktversicherung/Pensionskasse/Pensionsfonds/Direktzusage/Unterstützungskasse, Entgeltumwandlung Brutto zu bAV Steuer- und Sozialversicherungsfrei, Fördergrenze 2024: 8% BBG = 7.248€ sv-frei / 4% BBG darüber hinaus steuerfrei, Arbeitgeberzuschuss Pflicht 15% bei Sozialversicherungsersparnis, Steuerersparnis durch Bruttoumwandlung (ApexCharts Waterfall), Nachgelagerte Besteuerung + Krankenversicherung in Rente, Portabilität bei Arbeitgeberwechsel, Riester-Förderung zusätzlich möglich, bAV vs private Altersvorsorge Comparison, Unverfallbarkeit nach 3 Jahren, GSAP bAV Animations - USE CASE: Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung",
            "overview": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-059",
            "title": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung",
            "prompt_number": 59,
            "prompt": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Jahresendrallye Steueroptimierung November/Dezember, Sonderausgaben vorziehen Versicherungen/Spenden/Riester, Werbungskosten maximieren Arbeitszimmer/Fortbildung/Fachliteratur, Außergewöhnliche Belastungen Krankheitskosten/Pflegekosten, Handwerkerleistungen 20% abzugsfähig max 1200€, Haushaltsnahe Dienstleistungen 20% max 4000€, Verlustverrechnung realisieren Tax-Loss Harvesting, Abschreibungen Immobilien AfA, Investitionsabzugsbetrag Selbständige, Sonderabschreibung degressive AfA, Steueroptimierungs-Checkliste (D3.js Flow Diagram), Steuerersparnis-Potential Calculator (ApexCharts), GSAP Year-End Planning Animations - USE CASE: Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung",
            "overview": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-060",
            "title": "entwickle einen DVAG Steuererklärung-Assistent Deutschland",
            "prompt_number": 60,
            "prompt": "entwickle einen DVAG Steuererklärung-Assistent Deutschland - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Steuererklärung-Wizard Schritt-für-Schritt, Anlage N Einkünfte nichtselbständige Arbeit, Anlage KAP Kapitaleinkünfte, Anlage V Vermietung Verpachtung, Anlage AV Altersvorsorge Riester/Rürup, Werbungskosten-Pauschalen vs Einzelnachweis, Entfernungspauschale 30 Cent/km, Arbeitszimmer-Rechner, Verpflegungsmehraufwand Dienstreisen, Doppelte Haushaltsführung, Fortbildungskosten, Steuererstattung-Prognose (ApexCharts Gauge), ELSTER Mock-Export, Abgabefrist-Reminder 31.7., GSAP Form Fill Animations - USE CASE: Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung ## Kategorie 7: ALTERSVORSORGE & RENTE",
            "overview": "entwickle einen DVAG Steuererklärung-Assistent Deutschland",
            "category": "STEUER & RECHT TOOLS",
            "category_number": 6,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung ## Kategorie 7: ALTERSVORSORGE & RENTE",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-061",
            "title": "erstelle ein DVAG Rentenlücken-Rechner Deutschland",
            "prompt_number": 61,
            "prompt": "erstelle ein DVAG Rentenlücken-Rechner Deutschland - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesetzliche Rente Estimator basierend auf Entgeltpunkten, Rentenniveau aktuell 48% sinkt auf 43%, Versorgungslücke Current Lifestyle vs Gesetzliche Rente (ApexCharts Gap Chart), 3-Schichten-System gesetzlich/betrieblich/privat Visualizer (D3.js Stacked Area), Inflationsbereinigung Kaufkraft im Alter, Lebenserwartung Calculator Durchschnitt + 10 Jahre Sicherheit, Zusätzlicher Kapitalbedarf bis Lebensende, Sparrate-Berechnung um Lücke zu schließen, Rentenbeginn-Optimizer 63/65/67/70 Jahre Abschläge/Zuschläge, Teilrente in Kombi mit Teilzeit, Steuer auf Rente Ertragsanteil 2040: 100%, GSAP Gap Visualization Animations - USE CASE: Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar",
            "overview": "erstelle ein DVAG Rentenlücken-Rechner Deutschland",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-062",
            "title": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt",
            "prompt_number": 62,
            "prompt": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schicht 1 Basisversorgung Gesetzliche Rente/Rürup, Schicht 2 Zusatzversorgung bAV/Riester, Schicht 3 Kapitalanlage private Renten/ETF/Immobilien, Gesamtrenten-Projektion alle Schichten (ApexCharts Stacked Column), Optimale Schichtung nach Steuersituation, Schicht-Priorisierung für verschiedene Berufsgruppen Angestellt/Beamte/Selbständig, Tax Treatment jeder Schicht in Anspar & Auszahlphase, Flexibilität Score Verfügbarkeit Kapital, Förderquoten-Vergleich Riester/Rürup/bAV, Diversifikation über Schichten (D3.js Sankey Flow), Asset Allocation Altersvorsorge, GSAP 3-Layer Animations - USE CASE: Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix",
            "overview": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-063",
            "title": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge",
            "prompt_number": 63,
            "prompt": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelaltersgrenze nach Geburtsjahrgang 65-67 Jahre, Früherer Rentenbeginn ab 63 mit Abschlägen 0.3% pro Monat, Rente mit 63 nach 45 Beitragsjahren ohne Abschlag, Späterer Rentenbeginn Zuschläge 0.5% pro Monat, Break-Even Analyse früh vs spät (ApexCharts Line Chart Crossover), Lebenserwartung Impact auf Break-Even, Gesundheitszustand-Faktor, Weiterarbeiten-Rentability neben Teilrente, Hinzuverdienst-Grenzen vor Regelaltersgrenze, Rentenbesteuerung unterschiedlich je Eintrittsalter, Optimaler Rentenbeginn Calculator (D3.js Decision Tree), GSAP Retirement Age Animations - USE CASE: Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit",
            "overview": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-064",
            "title": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal",
            "prompt_number": 64,
            "prompt": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 4% Rule Calculator Trinity Study, Variable Withdrawal Strategies Guyton-Klinger, Dynamic Spending Adjustments Market-Based, Withdrawal Rate Simulator 3%/4%/5% (ApexCharts Monte Carlo), Portfolio Longevity bis 95/100 Jahre, Sequence of Returns Risk Visualizer frühe Bear Markets (D3.js), Inflation-Adjusted Withdrawals 2-3%, Tax-Efficient Withdrawal Order Taxable/Tax-Deferred/Tax-Free, Required Minimum Distributions RMDs ab 73 Jahre, Social Security Timing Integration, Bucket Strategy Cash/Bonds/Stocks, Failure Rate Probability Portfolio Depletion, GSAP Withdrawal Animations - USE CASE: Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung",
            "overview": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-065",
            "title": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert",
            "prompt_number": 65,
            "prompt": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entgeltpunkte-Berechnung Brutto/Durchschnitt, Rentenwert aktuell 39.32€ (West) / 39.32€ (Ost) seit 2024, Rentenformel Entgeltpunkte × Zugangsfaktor × Rentenartfaktor × Rentenwert, Versicherungsverlauf Simulation Jahre, Durchschnittsentwicklung Gehälter, Rentenhöhe-Projektion (ApexCharts Column Chart), Rentenanpassung 1-2% jährlich, Mütterrente Kindererziehungszeiten, Erwerbsminderungsrente, Hinterbliebenenrente Witwen/Waisen, Rentenauskunft Checker, Deutsche Rentenversicherung Info-Integration, GSAP Pension Calculation Animations - USE CASE: Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt",
            "overview": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-066",
            "title": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit",
            "prompt_number": 66,
            "prompt": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Altersvorsorge-Produkte Matrix ETF/Riester/Rürup/bAV/private Rente/Immobilien, Rendite vs Sicherheit Scatter Plot (D3.js), Liquidität vs Rendite Trade-Off, Steuerliche Förderung Ranking, Kosten-Transparenz TER/Effektivkosten, Flexibilität Score Verfügbarkeit, Diversifikation über Produkttypen, Alters-Glide-Path 100-Alter Aktienquote, Rebalancing verschiedene Produkte, Risk-Adjusted Return Sharpe Ratio, Altersvorsorge-Empfehlung basierend auf Profil (ApexCharts Radar), GSAP Product Mix Animations - USE CASE: Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen",
            "overview": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-067",
            "title": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International",
            "prompt_number": 67,
            "prompt": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sozialversicherungsabkommen Deutschland mit Ländern, Rentenansprüche mehrere Länder kombinieren, EU-Koordinierung Rentenansprüche, Pension Totalization Agreements USA/Canada/Australia, Versorgungslücke bei Auslandsaufenthalten, Private International Pension Solutions, Currency Risk Renten in anderer Währung, Tax Treatment Cross-Border Pensions DBA Doppelbesteuerungsabkommen, Gesetzliche Rente Export-Fähigkeit, Expat Retirement Strategies, Ländervergleich Rentensysteme (D3.js World Map), GSAP International Pension Animations - USE CASE: Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung",
            "overview": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-068",
            "title": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil",
            "prompt_number": 68,
            "prompt": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentenbesteuerung Gesetzliche Rente Besteuerungsanteil 2024: 83% steigt auf 100% bis 2040, Rentenfreibetrag einmalige Festsetzung bei Rentenbeginn, Altersentlastungsbetrag für andere Einkünfte im Alter, Grundfreibetrag 2024: 11.604€, Krankenversicherung Rentner KVdR, Pflegeversicherung Rentner, Steuerpflicht-Checker Rente über Grundfreibetrag, Private Rentenversicherung Ertragsanteilsbesteuerung je nach Rentenbeginn-Alter, Riester-Rente nachgelagerte Vollversteuerung, Rürup-Rente nachgelagerte Vollversteuerung, Nettorentenrechner nach Steuern (ApexCharts Waterfall), GSAP Tax on Pension Animations - USE CASE: Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen",
            "overview": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-069",
            "title": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland",
            "prompt_number": 69,
            "prompt": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundsicherung im Alter Bedarf 2024 ca. 950€/Monat, Altersarmut-Schwelle 60% Median-Einkommen, Risikogruppen Mini-Jobber/Selbständige ohne Altersvorsorge/Alleinerziehende/Langzeitarbeitslose, Erwerbsbiografie-Lücken Impact, Teilzeit-Arbeit Rentenauswirkungen, Gender Pension Gap Frauen, Scheidung Impact Versorgungsausgleich, Gesundheitskosten im Alter, Pflegekosten-Risiko, Altersarmut-Wahrscheinlichkeit Calculator (ApexCharts Gauge), Präventions-Maßnahmen Altersvorsorge aufbauen, GSAP Poverty Risk Animations - USE CASE: Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen",
            "overview": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-070",
            "title": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare",
            "prompt_number": 70,
            "prompt": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentensplitting unter Ehegatten, Versorgungsausgleich bei Scheidung, Partner-Rente Hinterbliebenenversorgung, Witwenrente 55%/60% der Rente des Verstorbenen, Eigene Rente angerechnet auf Witwenrente, Freibetrag Witwenrente, Große vs Kleine Witwenrente, Rentenkürzung bei Wiederheirat, Splitting vs Witwenrente Comparison (ApexCharts), Erziehungszeiten Anrechnung, Rentenoptimierung Ehepaare Einzeln vs Gesamt, Tax Optimization Ehegatten-Splitting, GSAP Couple Pension Animations - USE CASE: Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien ## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "overview": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare",
            "category": "ALTERSVORSORGE & RENTE",
            "category_number": 7,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien ## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-071",
            "title": "erstelle ein DVAG Konzern-Performance-Dashboard Executive",
            "prompt_number": 71,
            "prompt": "erstelle ein DVAG Konzern-Performance-Dashboard Executive - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Overview Umsatz/Neugeschäft/Bestand/Mitarbeiter, Regional Performance Deutschland-Karte (D3.js Geo Choropleth), Top Regions Ranking, Produktmix-Analyse Leben/BU/Fonds/Immobilien (ApexCharts Stacked Column), YoY Growth Rate Year-over-Year, Monthly Trends Charts, Berater-Produktivität Durchschnitt, Customer Acquisition Cost, Customer Lifetime Value, Churn Rate Bestandskunden, Market Share Visualizer, Strategic Goals vs Actuals (D3.js Bullet Charts), GSAP Executive Dashboard Animations - USE CASE: DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance",
            "overview": "erstelle ein DVAG Konzern-Performance-Dashboard Executive",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-072",
            "title": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen",
            "prompt_number": 72,
            "prompt": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertriebs-Organisationen Hierarchie Visualizer (D3.js Org Chart), Team-Leaderboard Top Performers, Individual Performance Scorecards, Sales Targets vs Actuals, Commission Tracking pro Berater, Activity Metrics Calls/Meetings/Proposals, Conversion Rates Funnel, Cross-Sell Ratio, Retention Rate Team, Recruiting Success neue Berater, Training Completion Rate, Performance Distribution Histogram (ApexCharts), Team Collaboration Score, GSAP Team Performance Animations - USE CASE: Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse",
            "overview": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-073",
            "title": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking",
            "prompt_number": 73,
            "prompt": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Neugeschäft-Volumen Daily/Weekly/Monthly (ApexCharts Real-Time Line Chart), Produktarten-Split, Durchschnittliche Vertragssumme, Anzahl Abschlüsse, Top Berater Neugeschäft, Regional Distribution Neugeschäft (D3.js Map), Neugeschäft Forecast basierend auf Pipeline, Saisonalität-Analyse Heatmap, Campaign Performance Marketing-Kampagnen, Lead-to-Close Rate, Time-to-Close Average, New Business Quality Score, GSAP New Business Animations - USE CASE: DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg",
            "overview": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-074",
            "title": "baue ein DVAG Bestandsgeschäft-Analyzer Retention",
            "prompt_number": 74,
            "prompt": "baue ein DVAG Bestandsgeschäft-Analyzer Retention - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestandsvolumen Total nach Produktarten, Retention Rate jährlich (ApexCharts Line Chart), Churn Rate Kündigungen, Lapse Ratio Stornoquote, Premium Persistency Beitragstreue, Policy Persistency Vertragstreue, Storno-Gründe Analyse, At-Risk Customers Identifier Kündigungsrisiko, Bestandspflege-Aktivitäten, Cross-Sell Opportunities im Bestand, Policen-Erhöhungen Dynamik, Bestandsprovisionen Forecast, GSAP Retention Animations - USE CASE: DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification",
            "overview": "baue ein DVAG Bestandsgeschäft-Analyzer Retention",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-075",
            "title": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum",
            "prompt_number": 75,
            "prompt": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Recruiting Funnel Leads/Interviews/Offers/Hires (D3.js Funnel), Conversion Rate pro Stage, Source of Hires Referrals/Events/Online/Ads, Time-to-Hire Average, Quality of Hire Metrics erste 12 Monate Performance, Retention New Hires 1-Jahres-Quote, Onboarding Completion Rate, Recruiter Productivity, Cost per Hire, Headcount Growth Netto-Wachstum (ApexCharts), Regional Recruiting Performance, Diversity Metrics, GSAP Recruiting Funnel Animations - USE CASE: DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting",
            "overview": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-076",
            "title": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy",
            "prompt_number": 76,
            "prompt": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Training Completion Rates alle Programme, Skill Development Tracking pre/post Tests, Certification Success Rate IHK/Sachkunde, Training ROI Performance nach Training, Course Ratings Feedback, Training Hours pro Berater, Compliance Training Mandatory, Product Knowledge Scores, Sales Skills Assessment, Soft Skills Development, Learning Path Completion (D3.js Sankey), Training Cost per Berater, GSAP Training Progress Animations - USE CASE: DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback",
            "overview": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-077",
            "title": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS",
            "prompt_number": 77,
            "prompt": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Net Promoter Score NPS -100 bis +100, Customer Satisfaction Score CSAT, Customer Effort Score CES, Sentiment Analysis Reviews, Complaint Rate, Resolution Time Beschwerden, Survey Response Rate, NPS Trend über Zeit (ApexCharts Line Chart), NPS by Region/Product/Berater, Promoters vs Detractors Analysis, Feedback Themes Word Cloud (D3.js), Referral Rate aus Promoters, GSAP NPS Score Animations - USE CASE: DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse",
            "overview": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-078",
            "title": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring",
            "prompt_number": 78,
            "prompt": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Compliance-Rate Beratungsprotokolle 100% Ziel, Weiterbildungspflicht 15h erfüllt Berater-Quote, IHK-Zertifizierungen aktuell, Produktinformationsblätter vollständig, Datenschutz DSGVO Compliance, Geldwäsche-Prävention Schulungen, Beschwerdemanagement Response Times, Audit Findings offene vs geschlossene, Regulatory Changes Dashboard neue Gesetze (D3.js Timeline), Risk Score Compliance-Risiken (ApexCharts Gauge), Sanctions & Fines Tracking, GSAP Compliance Check Animations - USE CASE: DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation",
            "overview": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-079",
            "title": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio",
            "prompt_number": 79,
            "prompt": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Produktportfolio-Übersicht Leben/BU/Kranken/Fonds/Immobilien, Sales Volume pro Produkt (ApexCharts Treemap), Profitability Margin pro Produkt, Product Life Cycle Stage Introduction/Growth/Maturity/Decline, Market Share Wettbewerb, Customer Satisfaction pro Produkt, Cross-Sell Affinity Matrix (D3.js Heatmap), Product Cannibalization Analysis, Portfolio Balance Risk/Return, New Product Launch Performance, Underperforming Products Identifier, GSAP Product Performance Animations - USE CASE: DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen",
            "overview": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-080",
            "title": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb",
            "prompt_number": 80,
            "prompt": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Marktanteile DVAG vs Wettbewerb Allianz/AXA/Zurich/SwissLife (ApexCharts Pie Chart), Competitive Positioning Matrix (D3.js Scatter Plot), Pricing Comparison Prämien/TER, Product Feature Comparison, Customer Acquisition Trends Markt, Digital Transformation Index Wettbewerber, Social Media Sentiment Analysis, Market Growth Rate gesamt, Regulatory Changes Impact auf Wettbewerb, Competitive Threats & Opportunities, Market Share Trends Historical (ApexCharts Area Chart), GSAP Market Intelligence Animations - USE CASE: DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren ## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE",
            "overview": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb",
            "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
            "category_number": 8,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren ## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-081",
            "title": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht",
            "prompt_number": 81,
            "prompt": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Verträge Übersicht Leben/BU/Kranken/Fonds/Immobilien, Vertragsstatus Aktiv/Ruhend/Gekündigt, Prämien-Übersicht monatlich/jährlich (ApexCharts Pie Chart), Versicherungssummen Total, Ablaufleistungen Projection, Vertrags-Details pro Police, Beitragsfreistellung Option, Policen-Erhöhung Nachversicherung, Vertragsänderungen Historie, Document Download Police/Jahresinformation, Schadenfall melden, Kontakt Berater Button, GSAP Portal Dashboard Animations - USE CASE: DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen",
            "overview": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-082",
            "title": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service",
            "prompt_number": 82,
            "prompt": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fondspolice-Guthaben aktuell, Fonds-Allocation Pie Chart (ApexCharts), Performance Charts 1/3/5/10 Jahre (D3.js Multi-Line), Einzahlungen vs Wertsteigerung, Cost Average Effect Visualization, Fondswechsel Self-Service Umschichtung, Dynamik-Option Beitragserhöhung, Zuzahlung einmalig, Kosten-Transparenz laufende Kosten, Ablaufleistung Projection (ApexCharts Area Chart), Steuerliche Behandlung Infos, Download Jahresbescheinigung, GSAP Fondspolice Animations - USE CASE: DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich",
            "overview": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-083",
            "title": "programmiere ein DVAG Schadensmeldung-Portal Digital",
            "prompt_number": 83,
            "prompt": "programmiere ein DVAG Schadensmeldung-Portal Digital - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadensmeldung-Formular Step-by-Step, Schadensart Auswahl Unfall/Krankheit/Kfz/Hausrat/Rechtsschutz, Upload Fotos/Belege/Gutachten, Schadennummer Tracking, Status-Verfolgung Eingegangen/Prüfung/Gutachten/Zahlung, Kommunikation mit Sachbearbeiter Chat, Zahlungsstatus Regulierung, Schadens-Historie alle vergangenen, Rückfragen-Management, Fristen-Reminder fehlende Unterlagen, Push Notifications Status-Updates, Durchschnittliche Bearbeitungszeit Info, GSAP Schadensmeldung Animations - USE CASE: DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess",
            "overview": "programmiere ein DVAG Schadensmeldung-Portal Digital",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-084",
            "title": "baue ein DVAG Dokumenten-Center Self-Service Download",
            "prompt_number": 84,
            "prompt": "baue ein DVAG Dokumenten-Center Self-Service Download - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Dokumente Übersicht Verträge/Jahresinformationen/Steuerbescheinigungen/Leistungsübersichten, Kategorisierung nach Dokumententyp, Zeitliche Sortierung, Suchfunktion Volltext, Download PDF einzeln/gesammelt, E-Signatur Vertragsänderungen, Postbox digitale Postbox statt Brief, Archivierung 10 Jahre gesetzlich, Upload eigene Dokumente Scans, Dokumenten-Sharing mit Berater, Neue Dokumente Notifications, Papierlos-Option, GSAP Document Download Animations - USE CASE: DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich",
            "overview": "baue ein DVAG Dokumenten-Center Self-Service Download",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-085",
            "title": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service",
            "prompt_number": 85,
            "prompt": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Beitragszahlungen Übersicht alle Verträge, Zahlungsrhythmus monatlich/quartalsweise/halbjährlich/jährlich, Bankverbindung ändern SEPA-Lastschrift, Zahlungshistorie, Zahlungsausfall-Alerts, Beitragsrückstände Mahnung, Ratenzahlung Rückstände, Beitragsanpassung Dynamik stoppen/aktivieren, Zahlungsmethode ändern Lastschrift/Überweisung, Beitragsfreistellung beantragen, Beitragszahlung aussetzen temporär, Rückforderung überzahlte Beiträge, GSAP Payment Management Animations - USE CASE: DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen",
            "overview": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-086",
            "title": "entwickle einen DVAG Termin-Buchung-Portal Self-Service",
            "prompt_number": 86,
            "prompt": "entwickle einen DVAG Termin-Buchung-Portal Self-Service - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Berater-Kalender Verfügbarkeit, Termin-Buchung Self-Service Datum/Uhrzeit, Terminart Beratung/Jahresgespräch/Vertragsabschluss, Video-Call vs Persönlich vs Telefon, Standort-Auswahl Geschäftsstelle/Kunde, Agenda-Setting Gesprächsthemen, Erinnerung 24h/1h vor Termin, Termin verschieben/absagen Self-Service, Berater-Profil Foto/Bio, Wartezeit-Info durchschnittlich, Meeting-Link Video-Call, Termin-Historie vergangene Gespräche, GSAP Booking Animations - USE CASE: DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand",
            "overview": "entwickle einen DVAG Termin-Buchung-Portal Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-087",
            "title": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service",
            "prompt_number": 87,
            "prompt": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Adresse ändern alle Verträge auf einmal, Telefonnummer ändern, E-Mail-Adresse ändern, Familienstand ändern Heirat/Scheidung, Namensänderung nach Heirat, Kontopfändung melden, Bezugsrechtsänderung Begünstigte, Kinder hinzufügen Geburt, Kinder entfernen Volljährigkeit, Arbeitgeber-Wechsel melden, Änderungs-Historie, Bestätigung E-Mail, Automatische Aktualisierung aller Verträge, GSAP Address Change Animations - USE CASE: DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates",
            "overview": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-088",
            "title": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service",
            "prompt_number": 88,
            "prompt": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestehende Policen Upload/Import, Bedarfsanalyse-Fragebogen Lebenssituation, Coverage Gap Analysis Unterversicherung (ApexCharts Gap Chart), Overlap Detection Doppelversicherung, Optimierungspotenzial Prämien sparen, Produktempfehlungen basierend auf Gaps, Lebensphasen-Check Anpassungsbedarf, Risiko-Score aktueller Schutz (D3.js Gauge), Vergleich zu Empfehlung Soll vs Ist, Beratungstermin vorschlagen bei Gaps, PDF-Report Police-Check Ergebnis, Jährlicher Police-Check Reminder, GSAP Policy Check Animations - USE CASE: DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check",
            "overview": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-089",
            "title": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service",
            "prompt_number": 89,
            "prompt": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FAQ-Kategorien Verträge/Schaden/Zahlung/Änderungen, Suchfunktion Freitext, Chatbot Mock Conversations häufige Fragen, Guided Navigation Decision Tree, Video-Tutorials How-To, Glossar Versicherungsbegriffe, Contact Escalation zu Berater bei komplexen Fragen, Kontaktformular, Telefon-Hotline Info, E-Mail Support, FAQ-Feedback hilfreich/nicht hilfreich, Popular Topics Trending, Chatbot-Analytics häufigste Fragen (ApexCharts), GSAP Chatbot Animations - USE CASE: DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot",
            "overview": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-090",
            "title": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service",
            "prompt_number": 90,
            "prompt": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budgetplaner Einnahmen/Ausgaben, Sparziel-Tracker Notgroschen/Urlaub/Auto, Rentenlücken-Rechner Self-Service, Immobilienfinanzierung-Rechner, Versicherungsbedarf-Calculator Leben/BU, Investment-Rechner ETF-Sparplan, Steuer-Rechner Brutto/Netto, Altersvorsorge-Planner 3 Schichten, Finanz-Ziele Priorisierung, Fortschritt-Tracking Goals, Beratungsempfehlung bei komplexen Zielen, PDF-Export Finanzplan, GSAP Financial Planning Animations - USE CASE: DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung ## Kategorie 10: TRAINING & ONBOARDING APPS",
            "overview": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service",
            "category": "KUNDEN-SELF-SERVICE PORTALE",
            "category_number": 9,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung ## Kategorie 10: TRAINING & ONBOARDING APPS",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-091",
            "title": "erstelle ein DVAG Onboarding-Dashboard Neue Berater",
            "prompt_number": 91,
            "prompt": "erstelle ein DVAG Onboarding-Dashboard Neue Berater - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Onboarding-Progress Timeline 90 Tage (D3.js Gantt Chart), Pflicht-Trainings Checklist Produkte/Compliance/Sales/IT, Video-Kurse Completion Rate, Quiz-Scores Wissensüberprüfung, IHK-Prüfung Vorbereitung, Sachkundeprüfung §34f GewO, Mentorship Pairing, Buddy-System Support, First Sales Milestone 5 Abschlüsse, Certifications Earned Badges (ApexCharts Progress Bars), Manager Check-Ins Termine, Feedback Surveys, GSAP Onboarding Progress Animations - USE CASE: DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation",
            "overview": "erstelle ein DVAG Onboarding-Dashboard Neue Berater",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-092",
            "title": "entwickle einen DVAG Produkt-Training-Simulator Interactive",
            "prompt_number": 92,
            "prompt": "entwickle einen DVAG Produkt-Training-Simulator Interactive - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Produkt-Katalog alle DVAG-Produkte Leben/BU/Fonds/Immobilien, Interactive Product Explorer Features/Kosten/Zielgruppe, Vergleichs-Tool Produkte Side-by-Side, Sales Pitch Templates, Objection Handling Scenarios, Competitive Comparison Wettbewerb, Tarif-Rechner Integration, Produktwissen-Quiz pro Produkt, Zertifikate pro Produktkategorie, Best Practices Success Stories, Update-Notifications neue Produkte, Learning Path Produktspezialist (D3.js), GSAP Product Training Animations - USE CASE: DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator",
            "overview": "entwickle einen DVAG Produkt-Training-Simulator Interactive",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-093",
            "title": "programmiere ein DVAG Sales-Skills-Training Rollenspiele",
            "prompt_number": 93,
            "prompt": "programmiere ein DVAG Sales-Skills-Training Rollenspiele - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sales Methodology SPIN Selling/Challenger/Solution Selling, Rollenspiel-Szenarien Erstgespräch/Einwandbehandlung/Abschluss, Video-Recording Mock Pitches, Peer Feedback, Self-Assessment Rubrics, Sales Skills Radar Chart (ApexCharts) Rapport/Discovery/Presentation/Closing, Objection Library 50+ Einwände mit Antworten, Call Script Builder, Elevator Pitch Generator, Negotiation Tactics, Closing Techniques, Practice Score Tracking (D3.js), GSAP Sales Roleplay Animations - USE CASE: DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training",
            "overview": "programmiere ein DVAG Sales-Skills-Training Rollenspiele",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-094",
            "title": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen",
            "prompt_number": 94,
            "prompt": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflichtschulungen Geldwäsche/Datenschutz/Beratungsprotokoll/Produktinformationspflicht, E-Learning Modules Video+Text+Quiz, Compliance-Quiz Bestehen 80% minimum, Zertifikate Completion, Jährliche Auffrischung 15h Pflicht, Regulatory Updates neue Gesetze, Best Practices Dos and Don'ts, Case Studies Compliance-Verstöße, Audit Preparation, Compliance Score Dashboard (ApexCharts Gauge), Non-Compliance Consequences, Refresher Training Reminder, GSAP Compliance Training Animations - USE CASE: DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen",
            "overview": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-095",
            "title": "erstelle ein DVAG Soft-Skills-Academy Kommunikation",
            "prompt_number": 95,
            "prompt": "erstelle ein DVAG Soft-Skills-Academy Kommunikation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kommunikations-Training Active Listening/Empathy/Questioning, Konfliktmanagement Deeskalation, Verhandlungsführung Win-Win, Präsentations-Skills, Body Language Decoder, Emotional Intelligence Assessment (ApexCharts Radar), Storytelling für Sales, Rapport Building Techniques, Trust Establishment, Customer Psychology, Cultural Sensitivity, Difficult Conversations Handling, Soft Skills Score Tracking (D3.js), Practice Exercises, GSAP Soft Skills Animations - USE CASE: DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation",
            "overview": "erstelle ein DVAG Soft-Skills-Academy Kommunikation",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-096",
            "title": "entwickle einen DVAG Digital-Tools-Training IT-Skills",
            "prompt_number": 96,
            "prompt": "entwickle einen DVAG Digital-Tools-Training IT-Skills - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: CRM-System Training DVAG-Software, Kunden-Portal Nutzung, Dokumenten-Management System, Video-Call Tools Zoom/Teams, E-Signature Plattform, Tablet-Präsentationen iPad-Apps, Social Selling LinkedIn/Xing, Digital Marketing Basics, Cybersecurity Awareness Phishing, DSGVO Digital, Productivity Tools Kalender/To-Do, IT-Support FAQ, Digital Fluency Score (ApexCharts), GSAP Digital Tools Animations - USE CASE: DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen",
            "overview": "entwickle einen DVAG Digital-Tools-Training IT-Skills",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-097",
            "title": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde",
            "prompt_number": 97,
            "prompt": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: IHK-Prüfung §34f GewO Lernmaterialien, Prüfungsinhalte Versicherungsprodukte/Recht/Steuern/Beratungspflichten, Übungsfragen 1000+ Fragen, Mock-Exams Prüfungssimulation, Zeitlimit 120 Minuten, Score Tracking Fortschritt (ApexCharts Line Chart), Schwachstellen-Analyse welche Themen üben (D3.js Heatmap), Lernplan 8 Wochen strukturiert, Video-Lektionen, Prüfungsangst-Tipps, Success Rate Statistik, Zertifikat Mock bei Bestehen, GSAP Exam Prep Animations - USE CASE: DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung",
            "overview": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-098",
            "title": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning",
            "prompt_number": 98,
            "prompt": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mentor-Matching Senior mit Junior Berater, Mentorship Goals Setting, Meeting-Scheduler regelmäßige Check-Ins, Knowledge Sharing Best Practices, Career Development Roadmap, Skill Gap Identification, Learning Resources Empfehlungen, Feedback 360° Mentor/Mentee, Success Stories Mentorship Impact, Mentorship Program Analytics (ApexCharts), Peer Learning Groups Studiengruppen, Community Forum Q&A, GSAP Mentorship Animations - USE CASE: DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt",
            "overview": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-099",
            "title": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content",
            "prompt_number": 99,
            "prompt": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Micro-Lessons 5-10 Minuten Video/Text/Quiz, Daily Learning Habit 15min täglich, Mobile-First Design Learning on the Go, Push Notifications Daily Lesson, Topics Library 500+ Lessons Produkte/Sales/Compliance/Soft Skills, Gamification Points/Badges/Leaderboard, Spaced Repetition Algorithm optimale Wiederholung, Learning Streaks Consecutive Days, Social Learning Share Progress, Completion Rate Tracking (ApexCharts), Personalized Learning Path AI-basiert, Offline Download Lessons, GSAP Micro Learning Animations - USE CASE: DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition",
            "overview": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "dvag-100:prompt-100",
            "title": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation",
            "prompt_number": 100,
            "prompt": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: 360° Feedback Self/Peers/Manager/Customers, Skill Assessment Radar Chart (ApexCharts) Produkte/Sales/Compliance/Soft Skills/Digital, Competency Framework DVAG-Standards, Performance Evaluation Quarterly, Development Plan basierend auf Gaps, Strength Finder Top Talents, Career Path Recommendation, Promotion Readiness Score, Skill Gap Prioritization, Training Recommendations personalisiert, Progress Tracking Over Time (D3.js Line Chart), Coaching Sessions Buchung, GSAP Assessment Animations - USE CASE: DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps ## Hinweis Quelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).",
            "overview": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation",
            "category": "TRAINING & ONBOARDING APPS",
            "category_number": 10,
            "cluster": "DVAG / Finanzberatung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "dvag",
              "finance",
              "insurance",
              "crm",
              "tax",
              "retirement"
            ],
            "use_case": "DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps ## Hinweis Quelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).",
            "source": "dvag-100.md",
            "source_path": "dvag-100.md",
            "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          }
        ]
      },
      {
        "catalog_type": "prompt_library",
        "catalog_id": "ebooks.100",
        "title": "100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)",
        "description": "Prompt library sourced from ebooks.100.md; prompts are ideas, not verified project evidence.",
        "source": "ebooks.100.md",
        "source_path": "ebooks.100.md",
        "count": 100,
        "categories": [
          "BELLETRISTIK & ROMANE",
          "BIOGRAFIE & MEMOIR",
          "KINDERBÜCHER & ILLUSTRIERTE WERKE",
          "KOCHBUCH & LIFESTYLE",
          "LYRIK & KURZGESCHICHTEN",
          "NACHSCHLAGEWERKE & KOMPENDIEN",
          "NISCHEN/SPEZIAL-KDP-KONZEPTE",
          "RATGEBER & SELF-HELP",
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            "prompt": "\"Der Prompt-Journal für Autoren\" — GENRE: Low-Content-Journal (Kreatives Schreiben) — ZIELGRUPPE: Hobbyautoren, Creative-Writing-Kurse — KONZEPT: Kreatives Schreibjournal mit 150 Schreibimpulsen (Prompts) für angehende Autoren, jeweils eine leere Seite pro Prompt zum handschriftlichen Ausarbeiten. — STRUKTUR: 150 Prompt-Seiten mit Schreiblinien, thematisch in 6 Kapitel gegliedert — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN als Basis für Prompt-Überschriften, Schreiblinien-Raster eigenständig (`repeating-linear-gradient` für liniertes Papier) — KDP-FORMAT: 6×9in, S/W, ca. 160 Seiten.",
            "overview": "\"Der Prompt-Journal für Autoren\" — GENRE: Low-Content-Journal (Kreatives Schreiben) — ZIELGRUPPE: Hobbyautoren, Creative-Writing-Kurse — KONZEPT: Kreatives Schreibjournal mit 150 Schreibimpulsen (Prompts) für angehende Autoren, jeweils eine leere Seite pro Prompt zum handschriftlichen Ausarbeiten. — STRUKTUR: 150 Prompt-Seiten mit Schreiblinien, thematisch in 6 Kapitel gegliedert — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN als Basis für Prompt-Überschriften, Schreiblinien-Raster eigenständig (`repeating-linear-gradient` für liniertes Papier) — KDP-FORMAT: 6×9in, S/W, ca. 160 Seiten.",
            "category": "NISCHEN/SPEZIAL-KDP-KONZEPTE",
            "category_number": 10,
            "cluster": "eBook / KDP Print-on-Demand",
            "tech_stack": [],
            "tags": [
              "prompts",
              "kdp",
              "ebook",
              "print-on-demand",
              "css",
              "book-design"
            ],
            "use_case": "",
            "source": "ebooks.100.md",
            "source_path": "ebooks.100.md",
            "library_title": "100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "ebooks.100:prompt-599",
            "title": "\"Kreuzworträtsel-Sammlung: Finanzbegriffe\" — GENRE: Rätselbuch (Themen-Nische) — ZIELGRUPPE: Finanzinteressierte Rätsel-Fans — KONZEPT: Them",
            "prompt_number": 599,
            "prompt": "\"Kreuzworträtsel-Sammlung: Finanzbegriffe\" — GENRE: Rätselbuch (Themen-Nische) — ZIELGRUPPE: Finanzinteressierte Rätsel-Fans — KONZEPT: Themen-Kreuzworträtselheft ausschließlich mit Finanz- und Börsenbegriffen als Lösungswörter — Crossover aus Rätselbuch und Finanzbildung, passend zum bestehenden Kostolany-Publikum. — STRUKTUR: 60 Kreuzworträtsel unterschiedlicher Größe, Lösungsteil am Ende, kurzes Finanzglossar als Bonus — CSS-TEMPLATE: eigenständiges Rätselraster-Layout (CSS Grid mit nummerierten Zellen), keine Basis-Vorlage passend — KDP-FORMAT: 8,5×11in, S/W, ca. 140 Seiten.",
            "overview": "\"Kreuzworträtsel-Sammlung: Finanzbegriffe\" — GENRE: Rätselbuch (Themen-Nische) — ZIELGRUPPE: Finanzinteressierte Rätsel-Fans — KONZEPT: Themen-Kreuzworträtselheft ausschließlich mit Finanz- und Börsenbegriffen als Lösungswörter — Crossover aus Rätselbuch und Finanzbildung, passend zum bestehenden Kostolany-Publikum. — STRUKTUR: 60 Kreuzworträtsel unterschiedlicher Größe, Lösungsteil am Ende, kurzes Finanzglossar als Bonus — CSS-TEMPLATE: eigenständiges Rätselraster-Layout (CSS Grid mit nummerierten Zellen), keine Basis-Vorlage passend — KDP-FORMAT: 8,5×11in, S/W, ca. 140 Seiten.",
            "category": "NISCHEN/SPEZIAL-KDP-KONZEPTE",
            "category_number": 10,
            "cluster": "eBook / KDP Print-on-Demand",
            "tech_stack": [],
            "tags": [
              "prompts",
              "kdp",
              "ebook",
              "print-on-demand",
              "css",
              "book-design"
            ],
            "use_case": "",
            "source": "ebooks.100.md",
            "source_path": "ebooks.100.md",
            "library_title": "100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "ebooks.100:prompt-600",
            "title": "\"Der Wochenplaner für Wechselmodell-Familien\" — GENRE: Low-Content-Planer (Familien-Nische) — ZIELGRUPPE: Getrennt erziehende Eltern im Wech",
            "prompt_number": 600,
            "prompt": "\"Der Wochenplaner für Wechselmodell-Familien\" — GENRE: Low-Content-Planer (Familien-Nische) — ZIELGRUPPE: Getrennt erziehende Eltern im Wechselmodell — KONZEPT: Spezialisierter Familienplaner mit synchronisierbaren Doppelwochen-Ansichten und Übergabe-Checklisten (Schulsachen, Medikamente) pro Wechsel. — STRUKTUR: 26 Doppelwochen-Spreads (ein Jahr), Übergabe-Checkliste pro Wechsel, Kontaktdaten-Seite (Kinderarzt, Schule) am Anfang — CSS-TEMPLATE: RATGEBER-SELFHELP als Basis für Erklärseiten, Kalenderraster-Layout eigenständig (zwei synchron laufende Wochenspalten) — KDP-FORMAT: 8,5×11in, S/W, ca. 80 Seiten. === ENDE === ## Hinweis **CSS-Paginierungsgrenze (wiederholt für die Produktionspraxis):** Alle fünf CSS-Templates in Part A liefern ausschließlich Typografie, Umbrüche und die Trim-Box für `print-version.html`. Fortlaufende Seitenzahlen und wechselnde lebende Kolumnentitel — beides für ein professionelles KDP-Print-Interieur erwartet — lassen sich mit reinem CSS im aktuellen Headless-Chrome-Rendering-Schritt der Produktionspipeline **nicht** zuverlässig erzeugen. Wer diese Buchprojekte tatsächlich in den Druck bringt, muss zusätzlich entweder (a) einen Paged.js-Rendering-Schritt vor der PDF-Erzeugung einplanen, oder (b) Seitenzahlen/Kolumnentitel nachträglich in das fertige PDF einfügen. Dies betrifft alle 100 Prompts in Part B gleichermaßen und ist kein Fehler der Templates, sondern eine Werkzeuggrenze von Headless Chrome als Rendering-Engine. **Abgrenzung zu bestehenden Titeln:** Alle 100 Konzepte in diesem Batch sind neu und wurden bewusst so entwickelt, dass sie sich nicht mit bereits produzierten Titeln überschneiden — insbesondere nicht mit \"Vom Obdachlosen zum Millionär\", \"Das Geschenk der Freiheit\", der \"CODE GENITOR\"-Trilogie, \"Die Kunst der Börsenspekulation\" (Kostolany), \"The LLM Atlas 2026\" und \"Das Zeitalter der Raumfahrt\". Wo thematische Nähe besteht (z. B. #533 zu \"LLM Atlas 2026\", #548 zu \"Das Zeitalter der Raumfahrt\", #568/#583/#588/#599 zum Kostolany-Themenfeld, #561/#566 zum \"Vom Obdachlosen zum Millionär\"-Themenfeld), wurde der jeweilige Prompt explizit auf einen eigenständigen Blickwinkel, eine andere Zielgruppe oder ein anderes Format zugeschnitten, um Doppelproduktion zu vermeiden.",
            "overview": "\"Der Wochenplaner für Wechselmodell-Familien\" — GENRE: Low-Content-Planer (Familien-Nische) — ZIELGRUPPE: Getrennt erziehende Eltern im Wechselmodell — KONZEPT: Spezialisierter Familienplaner mit synchronisierbaren Doppelwochen-Ansichten und Übergabe-Checklisten (Schulsachen, Medikamente) pro Wechsel. — STRUKTUR: 26 Doppelwochen-Spreads (ein Jahr), Übergabe-Checkliste pro Wechsel, Kontaktdaten-Seite (Kinderarzt, Schule) am Anfang — CSS-TEMPLATE: RATGEBER-SELFHELP als Basis für Erklärseiten, Kalenderraster-Layout eigenständig (zwei synchron laufende Wochenspalten) — KDP-FORMAT: 8,5×11in, S/W, ca. 80 Seiten. === ENDE === ## Hinweis **CSS-Paginierungsgrenze (wiederholt für die Produktionspraxis):** Alle fünf CSS-Templates in Part A liefern ausschließlich Typografie, Umbrüche und die Trim-Box für `print-version.html`. Fortlaufende Seitenzahlen und wechselnde lebende Kolumnentitel — beides für ein professionelles KDP-Print-Interieur erwartet — lassen sich mit reinem CSS im aktuellen Headless-Chrome-Rendering-Schritt der Produktionspipeline **nicht** zuverlässig erzeugen. Wer diese Buchprojekte tatsächlich in den Druck bringt, muss zusätzlich entweder (a) einen Paged.js-Rendering-Schritt vor der PDF-Erzeugung einplanen, oder (b) Seitenzahlen/Kolumnentitel nachträglich in das fertige PDF einfügen. Dies betrifft alle 100 Prompts in Part B gleichermaßen und ist kein Fehler der Templates, sondern eine Werkzeuggrenze von Headless Chrome als Rendering-Engine. **Abgrenzung zu bestehenden Titeln:** Alle 100 Konzepte in diesem Batch sind neu und wurden bewusst so entwickelt, dass sie sich nicht mit bereits produzierten Titeln überschneiden — insbesondere nicht mit \"Vom Obdachlosen zum Millionär\", \"Das Geschenk der Freiheit\", der \"CODE GENITOR\"-Trilogie, \"Die Kunst der Börsenspekulation\" (Kostolany), \"The LLM Atlas 2026\" und \"Das Zeitalter der Raumfahrt\". Wo thematische Nähe besteht (z. B. #533 zu \"LLM Atlas 2026\", #548 zu \"Das Zeitalter der Raumfahrt\", #568/#583/#588/#599 zum Kostolany-Themenfeld, #561/#566 zum \"Vom Obdachlosen zum Millionär\"-Themenfeld), wurde der jeweilige Prompt explizit auf einen eigenständigen Blickwinkel, eine andere Zielgruppe oder ein anderes Format zugeschnitten, um Doppelproduktion zu vermeiden.",
            "category": "NISCHEN/SPEZIAL-KDP-KONZEPTE",
            "category_number": 10,
            "cluster": "eBook / KDP Print-on-Demand",
            "tech_stack": [],
            "tags": [
              "prompts",
              "kdp",
              "ebook",
              "print-on-demand",
              "css",
              "book-design"
            ],
            "use_case": "",
            "source": "ebooks.100.md",
            "source_path": "ebooks.100.md",
            "library_title": "100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          }
        ]
      },
      {
        "catalog_type": "prompt_library",
        "catalog_id": "katholisch",
        "title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "description": "Prompt library sourced from katholisch.md; prompts are ideas, not verified project evidence.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "count": 100,
        "categories": [
          "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
          "GEBETS-APPS & ANDACHTEN (10 Prompts)",
          "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
          "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
          "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
          "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
          "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
          "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
          "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
          "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)"
        ],
        "records": [
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-301",
            "title": "erstelle eine interaktive Rosenkranz-App mit allen vier Gesätzen",
            "prompt_number": 301,
            "prompt": "erstelle eine interaktive Rosenkranz-App mit allen vier Gesätzen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Freudenreiche/Schmerzhafte/Glorreiche/Lichtreiche Geheimnisse mit automatischer Wochentags-Zuordnung nach traditionellem Kalender, Perlen-Zähler-Visualisierung mit Fortschrittsanzeige pro Gesätz, vollständige Gebetstexte Vaterunser/Ave Maria/Gloria Patri einblendbar, Meditations-Impuls pro Geheimnis mit Bibelstellen-Bezug, Audio-Vorlese-Mockup-Steuerung mit Geschwindigkeitsregler, Tages-Streak-Tracker für tägliches Beten (ApexCharts Kalender-Heatmap), Fatima-Zusatzgebet nach jedem Gesätz einblendbar, Rosenkranz-Historie mit Datum und gebeteten Geheimnissen, Mehrsprachigkeit Latein/Deutsch umschaltbar, Vollbild-Andachts-Modus ohne Ablenkung, Vibrations-/Ton-Feedback pro abgeschlossenem Gesätz, GSAP Perlen-Übergangs-Animationen - USE CASE: Gläubige beten den Rosenkranz strukturiert auch unterwegs ohne physische Kette, Katechese-Gruppen nutzen die App zur Einführung von Kindern und Neubekehrten in die traditionelle Gebetsform.",
            "overview": "erstelle eine interaktive Rosenkranz-App mit allen vier Gesätzen",
            "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige beten den Rosenkranz strukturiert auch unterwegs ohne physische Kette, Katechese-Gruppen nutzen die App zur Einführung von Kindern und Neubekehrten in die traditionelle Gebetsform.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-302",
            "title": "entwickle eine Angelus-Glocken-App mit Regina-Caeli-Umschaltung",
            "prompt_number": 302,
            "prompt": "entwickle eine Angelus-Glocken-App mit Regina-Caeli-Umschaltung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Automatische Erinnerung um 6/12/18 Uhr nach traditioneller Angelus-Zeit, vollständiger Angelus-Text mit dreifachem Ave Maria, automatische Umschaltung auf Regina Caeli während der Osterzeit von Ostern bis Pfingsten, Glockenschlag-Simulation dreimal drei Schläge plus neun, Kniebeuge-Erinnerung zur Inkarnations-Verse, persönliche Gebets-Statistik verpasste/gebetete Angelus (ApexCharts Balken), Angelus-Herkunfts-Erklärung historischer Hintergrund seit 14. Jahrhundert, Zeitzonen-Anpassung für Reisende, Stiller-Modus für Andachts-Räume, Wochenübersicht Gebetsdisziplin, Export Gebets-Historie, GSAP Glocken-Läute-Animationen - USE CASE: Gläubige halten die traditionelle dreimalige Tagesheiligung auch im hektischen Alltag ein, Ordensgemeinschaften und Gebetsgruppen synchronisieren ihre Angelus-Zeiten über die App.",
            "overview": "entwickle eine Angelus-Glocken-App mit Regina-Caeli-Umschaltung",
            "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige halten die traditionelle dreimalige Tagesheiligung auch im hektischen Alltag ein, Ordensgemeinschaften und Gebetsgruppen synchronisieren ihre Angelus-Zeiten über die App.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-303",
            "title": "programmiere eine Kreuzweg-Andachts-App mit 14 Stationen",
            "prompt_number": 303,
            "prompt": "programmiere eine Kreuzweg-Andachts-App mit 14 Stationen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle 14 klassischen Stationen von Verurteilung bis Grablegung mit Bildplatzhalter pro Station, franziskanische Meditationstexte pro Station einblendbar, Fortschritts-Leiste durch die Stationen mit Zeitschätzung, alternative 15. Station Auferstehung optional zuschaltbar, Fastenzeit-Modus mit täglicher Erinnerung besonders freitags, Gemeinschafts-Modus für gemeinsames Beten in der Kirche mit Vorbeter-Text, Gesätz-übergreifende Stille-Minuten-Timer pro Station, historische Herkunfts-Erklärung der Kreuzweg-Tradition seit den Franziskanern im Heiligen Land, persönliches Andachts-Tagebuch pro durchlaufenem Kreuzweg, Sprachumschaltung Latein/Deutsch für die Stationstitel, Offline-Verfügbarkeit für Kirchenräume ohne Netz, GSAP Stations-Übergangs-Animationen mit Kreuz-Motiv - USE CASE: Gläubige beten den Kreuzweg besonders in der Fastenzeit strukturiert nach, Pfarreien nutzen die App als Vorlage für gemeinschaftliche Karfreitags-Andachten in der Kirche.",
            "overview": "programmiere eine Kreuzweg-Andachts-App mit 14 Stationen",
            "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige beten den Kreuzweg besonders in der Fastenzeit strukturiert nach, Pfarreien nutzen die App als Vorlage für gemeinschaftliche Karfreitags-Andachten in der Kirche.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-304",
            "title": "baue ein Ignatianisches Gewissenserforschungs-Tool nach dem Examen",
            "prompt_number": 304,
            "prompt": "baue ein Ignatianisches Gewissenserforschungs-Tool nach dem Examen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fünf klassische Examen-Schritte Dankbarkeit/Bitte-um-Licht/Rückblick/Reue/Vorsatz geführt nacheinander, Tages-Rückblick-Journal mit Freitext pro Schritt, Tugend-und-Laster-Checkliste nach den sieben Hauptsünden strukturiert, wöchentliche Muster-Erkennung wiederkehrender Fehltritte (D3.js Häufigkeitsdiagramm), Beichtvorbereitungs-Export als druckbare Zusammenfassung, Ignatius-Zitate-Rotation zur Einstimmung, Stimmungs-Tracker vor und nach dem Examen, Erinnerungs-Funktion abends und mittags nach ignatianischer Tradition zweimal täglich, Vertraulichkeits-Hinweis alle Daten bleiben lokal, Fortschritts-Statistik regelmäßige Praxis über Wochen (ApexCharts Kalender-Heatmap), Anpassbare Gebetsformeln zu Beginn und Ende, GSAP Schritt-Übergangs-Animationen - USE CASE: Exerzitien-Teilnehmer üben die tägliche Gewissenserforschung nach ignatianischer Methode strukturiert ein, Beichtvorbereitung wird durch die gesammelten Muster über mehrere Wochen erleichtert.",
            "overview": "baue ein Ignatianisches Gewissenserforschungs-Tool nach dem Examen",
            "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Exerzitien-Teilnehmer üben die tägliche Gewissenserforschung nach ignatianischer Methode strukturiert ein, Beichtvorbereitung wird durch die gesammelten Muster über mehrere Wochen erleichtert.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-305",
            "title": "erstelle ein Gebetsanliegen-Tagebuch mit Erhörungs-Tracking",
            "prompt_number": 305,
            "prompt": "erstelle ein Gebetsanliegen-Tagebuch mit Erhörungs-Tracking - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Anliegen-Erfassung mit Kategorien Familie/Gesundheit/Beruf/Kirche/Verstorbene, Fürbitten-für-andere-Sektion getrennt von eigenen Anliegen, Status-Tracking Offen/Erhört/Anders-als-erwartet mit Datum, Dankgebets-Erinnerung bei markierter Erhörung, Verknüpfung mit passenden Fürsprechern Heilige nach Zuständigkeit, Wiederkehrende-Anliegen-Funktion für Dauergebete, Gebetsketten-Organisation mehrere Personen beten für dasselbe Anliegen, Anonymitäts-Option für sensible Anliegen, Jahresrückblick gebetete und erhörte Anliegen (ApexCharts Donut), Export als PDF für Gebetsgruppen, Verstorbenen-Gedenkliste mit Jahrestagen, GSAP Karten-Einblend-Animationen beim Hinzufügen - USE CASE: Gläubige halten ihre Fürbitten strukturiert fest statt sie zu vergessen, Gebetsgruppen und Pfarreien koordinieren gemeinsame Anliegenlisten über längere Zeiträume nachvollziehbar.",
            "overview": "erstelle ein Gebetsanliegen-Tagebuch mit Erhörungs-Tracking",
            "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige halten ihre Fürbitten strukturiert fest statt sie zu vergessen, Gebetsgruppen und Pfarreien koordinieren gemeinsame Anliegenlisten über längere Zeiträume nachvollziehbar.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-306",
            "title": "entwickle einen Novenen-Tracker für 9-tägige Andachten",
            "prompt_number": 306,
            "prompt": "entwickle einen Novenen-Tracker für 9-tägige Andachten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Novenen-Bibliothek zu verschiedenen Anlässen Heiliger-Geist-Novene vor Pfingsten/Herz-Jesu-Novene/Novene zur Gottesmutter, täglicher Fortschrittsbalken über die neun Tage, vollständiger Gebetstext pro Tag mit thematischem Tagesimpuls, Erinnerungs-Benachrichtigung zur gewählten Uhrzeit, Start-Datum-Rückrechnung bei Zielfest zum Beispiel Pfingsten, persönliche Notizen pro Novenen-Tag, Novenen-Historie abgeschlossene Andachten im Überblick (ApexCharts Zeitleiste), Unterbrechungs-Handling Nachholen bei verpasstem Tag, Gemeinschafts-Novene-Modus mehrere Personen zählen mit, eigene Novene erstellen mit individuellen Texten, Abschluss-Zeremonie-Bildschirm nach Tag neun, GSAP Tages-Freischalt-Animationen - USE CASE: Gläubige bereiten sich strukturiert auf große Feste wie Pfingsten oder Mariä Himmelfahrt mit einer Novene vor, Gebetsgemeinschaften synchronisieren gemeinsame neuntägige Andachten trotz räumlicher Trennung.",
            "overview": "entwickle einen Novenen-Tracker für 9-tägige Andachten",
            "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige bereiten sich strukturiert auf große Feste wie Pfingsten oder Mariä Himmelfahrt mit einer Novene vor, Gebetsgemeinschaften synchronisieren gemeinsame neuntägige Andachten trotz räumlicher Trennung.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-307",
            "title": "programmiere einen Stundengebet-Begleiter nach dem Vier-Wochen-Psalter",
            "prompt_number": 307,
            "prompt": "programmiere einen Stundengebet-Begleiter nach dem Vier-Wochen-Psalter - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Gebetszeiten Laudes/Terz/Sext/Non/Vesper/Komplet mit korrektem Tagesablauf, automatische Zuordnung zum Vier-Wochen-Psalter-Zyklus nach liturgischem Kalender, Tages-Hymnus und Psalmen mit Antiphonen passend zur Kirchenjahreszeit, Kurzlesung und Fürbitten pro Gebetszeit, Erinnerungs-Benachrichtigungen zu den klassischen Gebetszeiten, Fortschritts-Tracking regelmäßig gebetete Horen (ApexCharts Kalender-Heatmap), Sonn-und-Feiertags-Sonderpsalmen automatisch eingeblendet, Laien-vereinfachte-Kurzform als Alternative zum vollen Brevier, Lesezeichen letzte gebetete Hore, Gemeinschafts-Chor-Modus für gemeinsames Beten mit Vorsänger-Kennzeichnung, Offline-Psalter-Datenbank vollständig lokal, GSAP Horen-Wechsel-Animationen - USE CASE: Priester, Ordensleute und Laien beten das Stundengebet auch unterwegs korrekt nach dem aktuellen liturgischen Tag, Neueinsteiger lernen die Struktur des Breviers über die vereinfachte Kurzform kennen.",
            "overview": "programmiere einen Stundengebet-Begleiter nach dem Vier-Wochen-Psalter",
            "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Priester, Ordensleute und Laien beten das Stundengebet auch unterwegs korrekt nach dem aktuellen liturgischen Tag, Neueinsteiger lernen die Struktur des Breviers über die vereinfachte Kurzform kennen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-308",
            "title": "baue eine Herz-Jesu-Ersttage-Andacht mit den Zwölf Verheißungen",
            "prompt_number": 308,
            "prompt": "baue eine Herz-Jesu-Ersttage-Andacht mit den Zwölf Verheißungen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erste-Freitag-Tracker über neun aufeinanderfolgende Monate nach der Margareta-Maria-Alacoque-Tradition, vollständiger Text der Zwölf Verheißungen des Herzens Jesu mit Erläuterung, Erinnerungs-Benachrichtigung am ersten Freitag jeden Monats, Sühnegebet und Herz-Jesu-Litanei vollständig hinterlegt, Fortschritts-Visualisierung erfüllte Monate von neun (ApexCharts Radial), Beichte-und-Kommunion-Checkliste als Voraussetzung der Andacht, historische Einführung Vision von Paray-le-Monial 1673, Herz-Jesu-Fest-Countdown Freitag nach Fronleichnam, persönliches Andachts-Tagebuch pro Monat, Unterbrechungs-Warnung bei verpasstem Erstfreitag mit Neustart-Option, Erinnerung an Herz-Mariä-Sühnesamstage als Ergänzung, GSAP Herz-Symbol-Puls-Animationen - USE CASE: Gläubige praktizieren die traditionelle Neun-Erstfreitage-Andacht diszipliniert über neun Monate hinweg, die App dokumentiert den Fortschritt als Gedächtnisstütze bei einer Andacht die leicht durch einen verpassten Monat unterbrochen wird.",
            "overview": "baue eine Herz-Jesu-Ersttage-Andacht mit den Zwölf Verheißungen",
            "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige praktizieren die traditionelle Neun-Erstfreitage-Andacht diszipliniert über neun Monate hinweg, die App dokumentiert den Fortschritt als Gedächtnisstütze bei einer Andacht die leicht durch einen verpassten Monat unterbrochen wird.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-309",
            "title": "erstelle einen Maiandacht- und Rosenkranzmonat-Begleiter",
            "prompt_number": 309,
            "prompt": "erstelle einen Maiandacht- und Rosenkranzmonat-Begleiter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zwei Marienmonate Mai und Oktober mit jeweils eigenem Tagesimpuls-Kalender, Lauretanische Litanei vollständig mit allen Anrufungen, tägliche Marienandacht-Vorlage mit wechselnden Bibelstellen, Marienlieder-Sammlung mit Textanzeige nach Jahreszeit, historische Einführung Ursprung der Maiandacht im 19. Jahrhundert, Blumenschmuck-Symbolik-Erklärung zur Marienstatue, Gemeinschafts-Andachts-Modus für Pfarrgruppen mit Vorbeter-Rolle, Fortschritts-Tracker durchlaufene Andachtstage pro Monat (ApexCharts Kalender-Heatmap), Marienfeste-Übersicht innerhalb des Monats Mariä Heimsuchung/Rosenkranzfest, persönliche Gebetsanliegen-Verknüpfung an Maria, Vorlagen für Kinder-Maiandachten vereinfachte Sprache, GSAP Blüten-Einblend-Animationen - USE CASE: Pfarreien und Familien gestalten die traditionellen Marienmonate Mai und Oktober strukturiert mit täglich wechselnden Impulsen, Katecheten nutzen die kindgerechten Vorlagen für Maiandachten mit Erstkommunionkindern.",
            "overview": "erstelle einen Maiandacht- und Rosenkranzmonat-Begleiter",
            "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien und Familien gestalten die traditionellen Marienmonate Mai und Oktober strukturiert mit täglich wechselnden Impulsen, Katecheten nutzen die kindgerechten Vorlagen für Maiandachten mit Erstkommunionkindern.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-310",
            "title": "entwickle einen Timer für eucharistische Anbetung mit Taizé-Gesängen",
            "prompt_number": 310,
            "prompt": "entwickle einen Timer für eucharistische Anbetung mit Taizé-Gesängen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Anbetungsstunden-Timer mit sanfter Erinnerungsglocke nach ignatianischer Stille-Tradition, Taizé-Gesangstexte-Sammlung mit Wiederholungs-Struktur für meditatives Singen, stille-Anbetung-Modus ohne visuelle Ablenkung nur Kerzen-Animation, Anbetungsplan-Koordination für Gemeinden mit Zeitfenster-Anmeldung Ewige Anbetung, Schriftlesungs-Vorschläge zur Betrachtung während der Anbetung, persönliche Anbetungs-Historie über Wochen und Monate (ApexCharts Balken), Tabernakel-Symbolik-Erklärung für Erstteilnehmer, Anbetungs-Gebete Tantum Ergo und O Salutaris Hostia vollständig hinterlegt, Erinnerungs-Funktion für zugewiesene Wochenstunde, Vertretungs-Anfrage-Funktion bei Verhinderung, Gemeinschaftsübersicht wer betet wann Transparenz für Koordinatoren, GSAP Kerzenflammen-Animationen - USE CASE: Pfarreien mit Ewiger Anbetung organisieren die Stundenbesetzung zuverlässig und lückenlos, einzelne Gläubige vertiefen die eigene Anbetungszeit durch begleitende Taizé-Gesänge und Lesungsvorschläge. ## Kategorie 2: LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "overview": "entwickle einen Timer für eucharistische Anbetung mit Taizé-Gesängen",
            "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
            "category_number": 1,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien mit Ewiger Anbetung organisieren die Stundenbesetzung zuverlässig und lückenlos, einzelne Gläubige vertiefen die eigene Anbetungszeit durch begleitende Taizé-Gesänge und Lesungsvorschläge. ## Kategorie 2: LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-311",
            "title": "erstelle ein Vergleichstool Tridentinische Messe versus Novus Ordo",
            "prompt_number": 311,
            "prompt": "erstelle ein Vergleichstool Tridentinische Messe versus Novus Ordo - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Side-by-Side-Ablaufvergleich beider Formen des Römischen Ritus von Stufengebet bis Schlusssegen, Unterschied Ad-Orientem versus Versus-Populum mit Erklärung, Confiteor-Vergleich einmal versus zweimal je nach Form, Kanon-Text-Gegenüberstellung Römischer Kanon in beiden Formen, Kirchenlatein-Original neben deutscher Übersetzung, historische Einordnung Missale von 1962 versus Missale von 1970 nach Summorum Pontificum, liturgische Gesten-Vergleichstabelle Kniebeugen und Verneigungen, Ministranten-Rollen-Unterschiede pro Form, Audioaussprache-Hinweise für lateinische Passagen, Glossar Fachbegriffe Orate-Fratres/Sanctus/Agnus-Dei verlinkt, persönlicher Notizbereich für liturgische Beobachtungen, GSAP Abschnitts-Vergleichs-Animationen - USE CASE: Gläubige die zwischen beiden Formen wechseln verstehen die strukturellen Unterschiede fundiert statt verunsichert zu sein, Katecheten erklären Interessierten die Kontinuität des Römischen Ritus anhand des direkten Vergleichs sachlich und ohne die eine Form gegen die andere auszuspielen.",
            "overview": "erstelle ein Vergleichstool Tridentinische Messe versus Novus Ordo",
            "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "category_number": 2,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige die zwischen beiden Formen wechseln verstehen die strukturellen Unterschiede fundiert statt verunsichert zu sein, Katecheten erklären Interessierten die Kontinuität des Römischen Ritus anhand des direkten Vergleichs sachlich und ohne die eine Form gegen die andere auszuspielen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-312",
            "title": "entwickle einen liturgischen Kalender mit beweglichen Festen",
            "prompt_number": 312,
            "prompt": "entwickle einen liturgischen Kalender mit beweglichen Festen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständiges Kirchenjahr Advent bis Christkönigssonntag mit korrekter Festrangordnung Hochfest/Fest/Gedenktag, automatische Osterdatum-Berechnung nach dem gregorianischen Computus mit Erklärung der Berechnung, bewegliche Feste automatisch abgeleitet Aschermittwoch/Christi-Himmelfahrt/Pfingsten/Fronleichnam, Lesejahr-Anzeige A/B/C und Wochentagslesejahr I/II, liturgische Farbe des Tages automatisch angezeigt, Eigenfeste-Verwaltung für Diözesan- und Ordenskalender zusätzlich zum Generalkalender, Countdown zu wichtigen Festen mit Vorbereitungshinweisen, Vergleich Julianischer versus Gregorianischer Festkalender für ostkirchlichen Kontext, Export als druckbarer Jahreskalender PDF, Suchfunktion nach bestimmten Heiligenfesten, Erinnerungs-Benachrichtigung Vortag wichtiger Feste, GSAP Kalenderblatt-Wechsel-Animationen - USE CASE: Pfarreien planen Gottesdienste und Predigten mit korrekter liturgischer Festrangordnung, Gläubige verstehen die Berechnung des beweglichen Osterfestes anhand der nachvollziehbaren Computus-Erklärung.",
            "overview": "entwickle einen liturgischen Kalender mit beweglichen Festen",
            "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "category_number": 2,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien planen Gottesdienste und Predigten mit korrekter liturgischer Festrangordnung, Gläubige verstehen die Berechnung des beweglichen Osterfestes anhand der nachvollziehbaren Computus-Erklärung.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-313",
            "title": "programmiere einen Paramentenfarben-Tagestracker",
            "prompt_number": 313,
            "prompt": "programmiere einen Paramentenfarben-Tagestracker - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle liturgische Farbe automatisch aus Kirchenjahr abgeleitet Grün-Violett-Weiß-Rot-Rosa, Bedeutungs-Erklärung pro Farbe Buße/Freude/Martyrium/Auferstehung, Rosa-Sonntage-Sonderfall Gaudete und Laetare mit historischer Erläuterung, Schwarz-Option für Requiem-Messen mit heutiger Gebräuchlichkeits-Einordnung, Jahresübersicht Farbverteilung über das Kirchenjahr (ApexCharts Donut), Sakristei-Checkliste welche Paramente für welchen Sonntag vorzubereiten sind, Ausnahme-Regeln Marienfeste in der Fastenzeit mit weißer statt violetter Farbe, Bildergalerie-Platzhalter typischer Paramente-Sets pro Farbe, Diözesan-Sonderregelungen-Feld für lokale Bräuche, Erinnerungs-Funktion für Sakristane am Vorabend, Regionale-Varianten-Hinweis zwischen Ritus-Familien, GSAP Farbwechsel-Animationen - USE CASE: Sakristane und Messdiener bereiten die korrekten Paramente ohne Nachschlagen im Direktorium vor, Katecheten erklären Erstkommunionkindern die Symbolik der liturgischen Farben anschaulich.",
            "overview": "programmiere einen Paramentenfarben-Tagestracker",
            "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "category_number": 2,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Sakristane und Messdiener bereiten die korrekten Paramente ohne Nachschlagen im Direktorium vor, Katecheten erklären Erstkommunionkindern die Symbolik der liturgischen Farben anschaulich.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-314",
            "title": "baue einen Ritenvergleich-Explorer der katholischen Kirchen sui iuris",
            "prompt_number": 314,
            "prompt": "baue einen Ritenvergleich-Explorer der katholischen Kirchen sui iuris - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fünf große Ritenfamilien Römisch/Byzantinisch/Armenisch/Syrisch/Koptisch mit Grundstruktur-Vergleich der jeweiligen Messfeier, Ikonostase-Erklärung für den byzantinischen Ritus mit Bildschema, Epiklese-Positions-Vergleich zwischen den Riten, Sprachen-Übersicht Kirchenslawisch/Klassisches-Armenisch/Syrisch/Koptisch neben der jeweiligen Landessprache, geografische Verbreitungskarte-Mockup der jeweiligen Kirche sui iuris, Kalender-Unterschiede Julianisch versus Gregorianisch je nach Kirche, Gewänder-Vergleichstabelle pro Ritus, historische Herkunfts-Erklärung gemeinsame Einheit mit Rom bei eigener liturgischer Tradition, Gesang-Charakteristika pro Ritus Byzantinischer-Oktoechos/Gregorianik, Fastenregeln-Vergleich zwischen den Riten, Glossar ritenspezifischer Fachbegriffe, GSAP Riten-Wechsel-Übergangs-Animationen - USE CASE: Studierende der Liturgiewissenschaft verschaffen sich einen fundierten Überblick über die Vielfalt der mit Rom unierten Ostkirchen, Gläubige lateinischen Ritus verstehen respektvoll die eigenständige liturgische Tradition ihrer Glaubensgeschwister anderer Kirchen sui iuris.",
            "overview": "baue einen Ritenvergleich-Explorer der katholischen Kirchen sui iuris",
            "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "category_number": 2,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Studierende der Liturgiewissenschaft verschaffen sich einen fundierten Überblick über die Vielfalt der mit Rom unierten Ostkirchen, Gläubige lateinischen Ritus verstehen respektvoll die eigenständige liturgische Tradition ihrer Glaubensgeschwister anderer Kirchen sui iuris.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-315",
            "title": "erstelle eine Ministranten-Ausbildungs-App mit Prüfungs-Modus",
            "prompt_number": 315,
            "prompt": "erstelle eine Ministranten-Ausbildungs-App mit Prüfungs-Modus - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Lernpfad vom Kerzenträger bis zum Leuchterdienst mit steigendem Schwierigkeitsgrad, interaktive Ablauf-Simulation der heiligen Messe mit korrekten Einsatzpunkten pro Dienst, Antworten-Trainer lateinische und deutsche Messantworten mit Aussprache-Hinweis, Thurifer-Sonderausbildung Weihrauchfass-Handhabung mit Schritt-für-Schritt-Anleitung, Gewänder-Kunde Talar/Rochett/Zingulum mit Bildzuordnung, Quiz-Modus vor der Ministranten-Aufnahme mit Zertifikat, Übungs-Checkliste für den ersten eigenständigen Dienst, Kalender-Integration eigene Dienstplan-Termine, Fortschritts-Abzeichen-System nach Dienstgraden (ApexCharts Radial), Häufige-Fehler-Galerie mit Korrektur-Hinweis, Video-Platzhalter für Bewegungsabläufe, GSAP Ablauf-Simulations-Animationen - USE CASE: Pfarreien schulen neue Ministranten strukturiert und einheitlich statt durch reine Einweisung vor Ort, Jugendliche bereiten sich eigenständig auf Prüfungen vor besonderen Diensten wie dem Thuriferar vor.",
            "overview": "erstelle eine Ministranten-Ausbildungs-App mit Prüfungs-Modus",
            "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "category_number": 2,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien schulen neue Ministranten strukturiert und einheitlich statt durch reine Einweisung vor Ort, Jugendliche bereiten sich eigenständig auf Prüfungen vor besonderen Diensten wie dem Thuriferar vor.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-316",
            "title": "entwickle eine Predigtnotizen-App für Priester und Diakone",
            "prompt_number": 316,
            "prompt": "entwickle eine Predigtnotizen-App für Priester und Diakone - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Predigtentwurf-Editor verknüpft mit der Perikope des jeweiligen Sonntags, Lesejahr-automatische-Vorbelegung der Tageslesungen, Predigtarchiv durchsuchbar nach Sonntag und Thema über mehrere Jahre, Wiederverwendungs-Hinweis frühere Predigt zu identischer Perikope im Vorjahreslesezyklus, Zitat- und Anekdoten-Sammlung thematisch kategorisiert, Predigtlänge-Timer zur Übungs-Vorbereitung, Kirchenväter-Kommentar-Verknüpfung zur jeweiligen Schriftstelle, persönliche Feedback-Notizen nach gehaltener Predigt, Themen-Häufigkeits-Analyse über die eigene Predigt-Historie (D3.js Wortwolke), Vorbereitungs-Checkliste Exegese/Auslegung/Lebensbezug/Gebet, Export als Manuskript zum Ausdrucken für den Ambo, GSAP Entwurfs-Editor-Animationen - USE CASE: Priester bereiten Predigten systematisch mit Zugriff auf das eigene Archiv vergangener Jahre vor, Diakone in Ausbildung dokumentieren ihre Predigtentwicklung nachvollziehbar für die geistliche Begleitung.",
            "overview": "entwickle eine Predigtnotizen-App für Priester und Diakone",
            "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "category_number": 2,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Priester bereiten Predigten systematisch mit Zugriff auf das eigene Archiv vergangener Jahre vor, Diakone in Ausbildung dokumentieren ihre Predigtentwicklung nachvollziehbar für die geistliche Begleitung.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-317",
            "title": "programmiere einen Karwoche-und-Triduum-Planer für Pfarreien",
            "prompt_number": 317,
            "prompt": "programmiere einen Karwoche-und-Triduum-Planer für Pfarreien - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiger Ablaufplan Palmsonntag bis Ostervigil mit allen liturgischen Sonderelementen, Palmsonntags-Prozessions-Checkliste mit Passionslesung-Rollenverteilung, Gründonnerstag-Fußwaschung-Organisationstool mit Teilnehmerliste, Karfreitags-Kreuzverehrung-Ablaufplan mit den Großen Fürbitten vollständig, Ostervigil-Neun-Lesungen-Planer mit Kürzungs-Optionen je nach Pfarrpraxis, Osterkerzen-Weihe-Ablauf mit Text der Exsultet-Vorbereitung, Ministranten-und-Lektoren-Einsatzplan über alle Triduum-Tage hinweg, Kirchenschmuck-Checkliste Entblößung des Altars Gründonnerstag bis Auferstehungsschmuck, Zeitplan-Koordination bei mehreren Kirchen einer Pfarreiengemeinschaft, historische Erklärung der Bedeutung jedes Triduum-Tages, Erinnerungs-Funktion für alle Mitwirkenden, GSAP Tages-Übergangs-Animationen - USE CASE: Pfarrbüros koordinieren die aufwendige Liturgie der Kar- und Ostertage mit vielen Mitwirkenden fehlerfrei, neue Pfarrer oder Kapläne verschaffen sich schnell Überblick über bewährte lokale Abläufe des Triduums.",
            "overview": "programmiere einen Karwoche-und-Triduum-Planer für Pfarreien",
            "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "category_number": 2,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarrbüros koordinieren die aufwendige Liturgie der Kar- und Ostertage mit vielen Mitwirkenden fehlerfrei, neue Pfarrer oder Kapläne verschaffen sich schnell Überblick über bewährte lokale Abläufe des Triduums.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-318",
            "title": "baue ein Perikopenordnung-Tool für die Lesejahre A B und C",
            "prompt_number": 318,
            "prompt": "baue ein Perikopenordnung-Tool für die Lesejahre A B und C - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständige Sonntagslesungen-Datenbank für alle drei Lesejahre mit Evangelien-Schwerpunkt Matthäus/Markus/Lukas, Werktagslesejahr I und II parallel abrufbar, automatische Berechnung welches Lesejahr im aktuellen Kirchenjahr gilt, Perikopen-Suchfunktion nach Bibelstelle rückwärts zum Sonntag, thematische Verknüpfung zwischen den drei Lesungen eines Sonntags Altes-Testament-Psalm-Evangelium, Vorschau kommender Sonntage für die Predigtvorbereitung, Vergleichsansicht gleicher Sonntag über die drei Lesejahre, Häufigkeits-Statistik welche biblischen Bücher wie oft vorkommen (ApexCharts Balken), Notizfeld pro Perikope für persönliche Auslegungsgedanken, Export Leseplan als PDF für den Ambo, Eigenfeste-Sonderlesungen-Ergänzung, GSAP Lesejahr-Wechsel-Animationen - USE CASE: Lektoren und Priester bereiten sich mit korrekt zugeordneten Lesungen für das jeweils aktuelle Lesejahr vor, Bibelkreise verfolgen die thematische Linie der Sonntagslesungen über den Dreijahreszyklus hinweg.",
            "overview": "baue ein Perikopenordnung-Tool für die Lesejahre A B und C",
            "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "category_number": 2,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Lektoren und Priester bereiten sich mit korrekt zugeordneten Lesungen für das jeweils aktuelle Lesejahr vor, Bibelkreise verfolgen die thematische Linie der Sonntagslesungen über den Dreijahreszyklus hinweg.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-319",
            "title": "erstelle ein Nachschlagewerk zum gregorianischen Messproprium",
            "prompt_number": 319,
            "prompt": "erstelle ein Nachschlagewerk zum gregorianischen Messproprium - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Proprium-Datenbank Introitus/Graduale/Alleluja/Offertorium/Communio pro Sonntag im Kirchenjahr, lateinischer Original-Notentext-Platzhalter mit deutscher Übersetzung, Modus-Zuordnung der acht Kirchentöne pro Gesang, historische Herkunfts-Angabe ältester belegter Gebrauch des jeweiligen Gesangs, Audio-Vorlese-Mockup zur Aussprache-Übung, Vergleich Gregorianisches-Proprium versus deutschsprachiges-Wechselgesang-Alternative, Suchfunktion nach Kirchenjahreszeit oder Anfangswort des Introitus, Kantoren-Übungsmodus mit Wiederholungs-Timer, Zusammenstellung eines vollständigen Proprium-Sets für einen bestimmten Sonntag druckbar, thematische Verknüpfung zwischen Introitus-Text und Tagesevangelium, Neumen-Bild-Platzhalter zur Notation, GSAP Notenzeile-Einblend-Animationen - USE CASE: Kirchenchöre und Scholae bereiten das gregorianische Proprium für den jeweiligen Sonntag korrekt zugeordnet vor, Liturgiewissenschafts-Studierende erschließen sich die historische Gesangstradition der Messe systematisch.",
            "overview": "erstelle ein Nachschlagewerk zum gregorianischen Messproprium",
            "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "category_number": 2,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Kirchenchöre und Scholae bereiten das gregorianische Proprium für den jeweiligen Sonntag korrekt zugeordnet vor, Liturgiewissenschafts-Studierende erschließen sich die historische Gesangstradition der Messe systematisch.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-320",
            "title": "entwickle ein Nachschlagewerk zu den Riten der Sakramentenspendung",
            "prompt_number": 320,
            "prompt": "entwickle ein Nachschlagewerk zu den Riten der Sakramentenspendung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ablaufschema aller sieben Sakramente mit korrekter liturgischer Reihenfolge Taufe/Firmung/Eucharistie/Beichte/Krankensalbung/Weihe/Ehe, vollständige Spendungsformeln im lateinischen Original mit deutscher Übersetzung, Materie-und-Form-Erklärung pro Sakrament nach scholastischer Sakramententheologie, Nottaufe-Kurzanleitung für Laien in Notfällen klar hervorgehoben, Trauungsritus-Varianten innerhalb und außerhalb der Messe, Krankensalbung-Ablauf mit den beiden Salbungsstellen Stirn und Hände, Diakon-versus-Priester-Kompetenzen-Übersicht je Sakrament, historische Entwicklung der Riten seit dem Zweiten Vatikanischen Konzil, Vorbereitungs-Checklisten für Spender vor jeder Sakramentenspendung, Glossar sakramententheologischer Fachbegriffe, Suchfunktion über alle Riten hinweg, GSAP Ritus-Ablauf-Animationen - USE CASE: Priester und Diakone bereiten Sakramentenspendungen mit korrekten Formeln und Abläufen zuverlässig vor, Theologiestudierende erschließen sich die sakramentale Praxis der Kirche strukturiert neben der theoretischen Sakramentenlehre. ## Kategorie 3: BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "overview": "entwickle ein Nachschlagewerk zu den Riten der Sakramentenspendung",
            "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
            "category_number": 2,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Priester und Diakone bereiten Sakramentenspendungen mit korrekten Formeln und Abläufen zuverlässig vor, Theologiestudierende erschließen sich die sakramentale Praxis der Kirche strukturiert neben der theoretischen Sakramentenlehre. ## Kategorie 3: BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-321",
            "title": "erstelle ein Bibel-Konkordanz- und Parallelstellen-Tool",
            "prompt_number": 321,
            "prompt": "erstelle ein Bibel-Konkordanz- und Parallelstellen-Tool - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Volltext-Konkordanz-Suche über alle Bücher mit Häufigkeits-Statistik pro Begriff (ApexCharts Balken), automatische Parallelstellen-Anzeige bei synoptischen Evangelien-Texten Matthäus-Markus-Lukas nebeneinander, thematische Stichwort-Cluster verwandte Begriffe wie Barmherzigkeit/Vergebung/Gnade, Zitat-Netz-Visualisierung Altes-Testament-Zitate im Neuen Testament (D3.js Graph), Buch-Kapitel-Vers-Sprung-Navigation direkt zur Stelle, Lesezeichen-Sammlung häufig genutzter Stellen, Vers-Vergleich innerhalb desselben Buches thematisch verwandte Abschnitte, Suchhistorie für wiederkehrende Recherchen, Exportfunktion gefundener Stellen als Zitatliste mit Quellenangabe, Häufigkeits-Heatmap welche Bücher am meisten zitiert werden (D3.js), Notizfeld pro gefundener Stelle, GSAP Treffer-Hervorhebungs-Animationen - USE CASE: Bibelkreisleiter bereiten thematische Studienabende mit belegten Parallelstellen fundiert vor, Prediger recherchieren schnell verwandte Schriftstellen zu einem Predigtthema ohne gedruckte Konkordanz.",
            "overview": "erstelle ein Bibel-Konkordanz- und Parallelstellen-Tool",
            "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "category_number": 3,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Bibelkreisleiter bereiten thematische Studienabende mit belegten Parallelstellen fundiert vor, Prediger recherchieren schnell verwandte Schriftstellen zu einem Predigtthema ohne gedruckte Konkordanz.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-322",
            "title": "entwickle ein Übersetzungsvergleichs-Tool für biblische Kernstellen",
            "prompt_number": 322,
            "prompt": "entwickle ein Übersetzungsvergleichs-Tool für biblische Kernstellen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Side-by-Side-Vergleich Einheitsübersetzung/Lutherbibel/Vulgata/Septuaginta-Bezug pro ausgewähltem Vers, Wort-für-Wort-Unterschiede farbcodiert hervorgehoben, historische Übersetzungs-Entstehungs-Erklärung pro Version, Fußnoten-Anzeige textkritischer Varianten, Übersetzungs-Philosophie-Erklärung wörtlich versus sinngemäß je Version, häufig verglichene Streitstellen-Bibliothek zum Beispiel Jesaja 7,14, Lesehilfe für die lateinische Vulgata mit Aussprache-Hinweis, persönliche Vergleichsnotizen pro Vers speicherbar, Statistik welche Verse am häufigsten verglichen werden (ApexCharts Balken), Export Vergleichstabelle als PDF für Bibelkreise, Suchfunktion über alle hinterlegten Versionen gleichzeitig, GSAP Versionswechsel-Übergangs-Animationen - USE CASE: Bibelkreise vertiefen ihr Verständnis durch den direkten Textvergleich verschiedener Übersetzungstraditionen, Theologiestudierende bereiten sich mit dem Vulgata-Bezug gezielt auf Exegese-Seminare vor.",
            "overview": "entwickle ein Übersetzungsvergleichs-Tool für biblische Kernstellen",
            "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "category_number": 3,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Bibelkreise vertiefen ihr Verständnis durch den direkten Textvergleich verschiedener Übersetzungstraditionen, Theologiestudierende bereiten sich mit dem Vulgata-Bezug gezielt auf Exegese-Seminare vor.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-323",
            "title": "programmiere einen Bibel-Leseplan-Tracker Ein Jahr durch die Bibel",
            "prompt_number": 323,
            "prompt": "programmiere einen Bibel-Leseplan-Tracker Ein Jahr durch die Bibel - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorgefertigter 365-Tage-Leseplan chronologisch oder nach biblischer Buchreihenfolge wählbar, tägliches Abhaken mit Fortschrittsbalken über das Jahr (ApexCharts Kalender-Heatmap), Nachhol-Funktion bei verpassten Tagen mit angepasstem Resttempo, thematische Alternative-Pläne Altes-Testament-in-90-Tagen oder Nur-die-Evangelien, tägliche Kurz-Reflexion-Notizfeld zum Gelesenen, Lesezeit-Schätzung pro Tagesabschnitt, Streak-Anzeige aufeinanderfolgende Lesetage, Wochenrückblick gelesene Kapitel und Bücher, Erinnerungs-Benachrichtigung zur gewählten Lesezeit, Gemeinschafts-Lesevergleich-Mockup mit Pfarrgruppe gleicher Leseplan, Jahresabschluss-Zertifikat bei vollständigem Durchlauf, GSAP Fortschritts-Buch-Animationen - USE CASE: Gläubige lesen die gesamte Bibel strukturiert innerhalb eines Jahres statt das Vorhaben nach Wochen abzubrechen, Pfarreien bieten den Leseplan als gemeinsames Jahresprojekt für Bibelkreise an.",
            "overview": "programmiere einen Bibel-Leseplan-Tracker Ein Jahr durch die Bibel",
            "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "category_number": 3,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige lesen die gesamte Bibel strukturiert innerhalb eines Jahres statt das Vorhaben nach Wochen abzubrechen, Pfarreien bieten den Leseplan als gemeinsames Jahresprojekt für Bibelkreise an.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-324",
            "title": "baue ein Exegese-Notizbuch für die persönliche Schriftstudie",
            "prompt_number": 324,
            "prompt": "baue ein Exegese-Notizbuch für die persönliche Schriftstudie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierter Notiz-Editor pro Perikope nach historisch-kritischer Methode Textkritik/Literarkritik/Formkritik/Auslegung, Verknüpfung mit Kommentarliteratur-Zitaten eigene Einträge, Ursprache-Notizfeld für griechische oder hebräische Schlüsselbegriffe, Kontext-Karte historischer und literarischer Zusammenhang der Stelle, Auslegungsgeschichte-Sektion wie die Stelle durch Kirchenväter und spätere Theologen verstanden wurde, Verknüpfung mehrerer Notizen zu thematischen Studienprojekten, Volltextsuche über alle eigenen Notizen, Exportfunktion einzelner Exegesen als strukturiertes Dokument, Lesezeichen-System für laufende Studienprojekte, Zeitaufwand-Tracking pro Studieneinheit, Quellenverzeichnis-Verwaltung genutzter Literatur, GSAP Notiz-Karten-Animationen - USE CASE: Theologiestudierende dokumentieren eigene Exegesen strukturiert für Seminararbeiten, ernsthafte Laien vertiefen ihr Schriftverständnis über einfaches Lesen hinaus mit einer nachvollziehbaren Methode.",
            "overview": "baue ein Exegese-Notizbuch für die persönliche Schriftstudie",
            "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "category_number": 3,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Theologiestudierende dokumentieren eigene Exegesen strukturiert für Seminararbeiten, ernsthafte Laien vertiefen ihr Schriftverständnis über einfaches Lesen hinaus mit einer nachvollziehbaren Methode.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-325",
            "title": "erstelle einen geführten Lectio-Divina-Guide in vier Schritten",
            "prompt_number": 325,
            "prompt": "erstelle einen geführten Lectio-Divina-Guide in vier Schritten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Führung durch die vier klassischen Schritte Lectio/Meditatio/Oratio/Contemplatio mit Zeittimer pro Phase, Tagesvers-Vorschlag oder freie Textwahl aus der Schrift, geführte Fragen pro Phase Was-steht-da/Was-bedeutet-es-für-mich/Wie-antworte-ich/Stille-Verweilen, Stille-Glocke zwischen den Phasen nach klösterlicher Tradition, persönliches Kontemplations-Tagebuch pro Sitzung, historische Einführung Ursprung in der benediktinischen Mönchstradition, Wiederholungs-Funktion denselben Text über mehrere Tage vertiefen, Fortschritts-Statistik regelmäßige Praxis (ApexCharts Kalender-Heatmap), Gruppen-Modus für gemeinsame Lectio-Divina-Abende mit geteilten Impulsen, Hintergrundgeräusch-Auswahl Stille oder sanfte Klangschale, Export der eigenen Einsichten als PDF, GSAP Phasen-Übergangs-Animationen mit sanftem Fade - USE CASE: Gläubige praktizieren die traditionelle betende Schriftlesung strukturiert statt unsicher wo sie beginnen sollen, Exerzitienhäuser und Gebetsgruppen nutzen den Guide als Vorlage für gemeinsame Lectio-Divina-Abende.",
            "overview": "erstelle einen geführten Lectio-Divina-Guide in vier Schritten",
            "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "category_number": 3,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige praktizieren die traditionelle betende Schriftlesung strukturiert statt unsicher wo sie beginnen sollen, Exerzitienhäuser und Gebetsgruppen nutzen den Guide als Vorlage für gemeinsame Lectio-Divina-Abende.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-326",
            "title": "entwickle einen biblischen Zeitleisten-Visualizer von Abraham bis zu den Aposteln",
            "prompt_number": 326,
            "prompt": "entwickle einen biblischen Zeitleisten-Visualizer von Abraham bis zu den Aposteln - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Interaktive Zeitleiste Patriarchenzeit/Königszeit/Exil/Zwischentestamentliche-Zeit/Neues-Testament (D3.js Timeline), Verknüpfung biblischer Ereignisse mit außerbiblischer Weltgeschichte zur Einordnung, Personen-Stammbaum-Ansicht Abraham-Isaak-Jakob und davidische Königslinie (D3.js Baum), Datierungs-Unsicherheiten transparent gekennzeichnet nach wissenschaftlichem Konsens, Klick-Navigation von Zeitleisten-Ereignis zur passenden Bibelstelle, thematische Filterung nur Propheten oder nur Könige anzeigen, Kartenverknüpfung geografischer Bezug zu Ereignissen, Zwischentestamentliche-Zeit-Erklärung Makkabäer und hellenistischer Einfluss, Paulusreisen-Zeitfenster innerhalb der Apostelgeschichte-Chronologie, Export Zeitleisten-Abschnitt als Bild für Unterricht, Suchfunktion nach Personen oder Ereignissen, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Katecheten vermitteln den historischen Gesamtzusammenhang der Heilsgeschichte anschaulich statt isolierter Einzelgeschichten, Bibelkreise verorten einzelne Bücher korrekt in der Abfolge der biblischen Geschichte.",
            "overview": "entwickle einen biblischen Zeitleisten-Visualizer von Abraham bis zu den Aposteln",
            "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "category_number": 3,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Katecheten vermitteln den historischen Gesamtzusammenhang der Heilsgeschichte anschaulich statt isolierter Einzelgeschichten, Bibelkreise verorten einzelne Bücher korrekt in der Abfolge der biblischen Geschichte.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-327",
            "title": "programmiere eine interaktive Landkarte der Paulusreisen",
            "prompt_number": 327,
            "prompt": "programmiere eine interaktive Landkarte der Paulusreisen - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Karte mit allen drei Missionsreisen des Paulus plus der Gefangenentransport-Reise nach Rom, Routenverlauf mit Zwischenstationen Antiochia/Ephesus/Korinth/Philippi anklickbar, Verknüpfung jeder Station mit der zugehörigen Apostelgeschichte-Textstelle, historische Distanz- und Reisezeit-Schätzung pro Etappe, Landverkehr-versus-Seeweg-Kennzeichnung der Routenabschnitte, Gemeinde-Gründungs-Markierung an den jeweiligen Stationen mit Verweis auf zugehörige Paulusbriefe, Zeitachsen-Schieberegler zur Nachverfolgung der Chronologie, Gefahren-und-Widerstände-Anmerkungen laut biblischem Bericht, thematische Ebenen ein-und-ausblendbar Reise-1/2/3/Gefangenschaft, Export der Karte als Bild für den Religionsunterricht, Vergleichsansicht antike versus heutige Ortsnamen, GSAP Routenverlauf-Zeichenanimationen - USE CASE: Religionslehrer veranschaulichen die Missionsreisen des Paulus geografisch statt nur textlich, Bibelkreise verorten die Paulusbriefe konkret am jeweiligen Ort ihrer Entstehung oder Adressierung.",
            "overview": "programmiere eine interaktive Landkarte der Paulusreisen",
            "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "category_number": 3,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Religionslehrer veranschaulichen die Missionsreisen des Paulus geografisch statt nur textlich, Bibelkreise verorten die Paulusbriefe konkret am jeweiligen Ort ihrer Entstehung oder Adressierung.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-328",
            "title": "baue ein Urtext-Wortstudien-Tool mit Strong-Nummern-System",
            "prompt_number": 328,
            "prompt": "baue ein Urtext-Wortstudien-Tool mit Strong-Nummern-System - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Griechische und hebräische Schlüsselbegriffe mit zugehöriger Strong-Nummer nachschlagbar, Wortstamm-Erklärung und grammatikalische Form pro Beleg, alle Vorkommen desselben Urtext-Begriffs im gesamten Kanon aufgelistet, Bedeutungsnuancen-Vergleich griechischer Begriffe wie Agape/Philia/Eros mit deutschen Übersetzungs-Alternativen, Transliterations-Anzeige für Lesende ohne Griechisch- oder Hebräischkenntnisse, Aussprache-Mockup-Audio pro Begriff, thematische Wortfelder verwandte Begriffe gruppiert (D3.js Cluster), Vergleich wie ein Urtext-Begriff in verschiedenen deutschen Übersetzungen wiedergegeben wird, persönliche Wortstudien-Sammlung speicherbar, Suchfunktion nach Strong-Nummer oder deutschem Begriff, Häufigkeits-Statistik pro Begriff über die Bibel (ApexCharts Balken), GSAP Wortkarten-Einblend-Animationen - USE CASE: Theologiestudierende vertiefen ihr Verständnis biblischer Kernbegriffe über die deutsche Übersetzung hinaus, Prediger untermauern Predigtaussagen mit fundierten Wortstudien zum griechischen oder hebräischen Original.",
            "overview": "baue ein Urtext-Wortstudien-Tool mit Strong-Nummern-System",
            "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "category_number": 3,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Theologiestudierende vertiefen ihr Verständnis biblischer Kernbegriffe über die deutsche Übersetzung hinaus, Prediger untermauern Predigtaussagen mit fundierten Wortstudien zum griechischen oder hebräischen Original.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-329",
            "title": "erstelle ein Psalmen-Gebetsbuch mit Tageszuordnung nach dem Stundengebet-Psalter",
            "prompt_number": 329,
            "prompt": "erstelle ein Psalmen-Gebetsbuch mit Tageszuordnung nach dem Stundengebet-Psalter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle 150 Psalmen mit Zuordnung zum jeweiligen Wochentag des Vier-Wochen-Psalters, Psalmengattungen-Kennzeichnung Klage/Lob/Danklied/Königspsalm mit Kurzerläuterung, Antiphonen-Vorschläge passend zur Kirchenjahreszeit pro Psalm, persönliches Lieblingspsalmen-Lesezeichen, Kontext-Erklärung historischer Entstehungshintergrund pro Psalm soweit bekannt, Vertonungs-Hinweis bekannte gregorianische oder mehrstimmige Vertonungen, Suchfunktion nach Thema Trost/Vertrauen/Bitte/Dank, tägliche Psalmen-Empfehlung passend zur persönlichen Lebenssituation, Vers-für-Vers-Meditations-Modus mit Pausenzeiten, Lesefortschritt durch alle 150 Psalmen (ApexCharts Kalender-Heatmap), Export einzelner Psalmen als Gebetskarte, GSAP Psalmvers-Einblend-Animationen - USE CASE: Gläubige beten die Psalmen strukturiert im Rhythmus des kirchlichen Stundengebets, Seelsorger empfehlen passende Psalmen gezielt nach der jeweiligen Lebenssituation eines Ratsuchenden.",
            "overview": "erstelle ein Psalmen-Gebetsbuch mit Tageszuordnung nach dem Stundengebet-Psalter",
            "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "category_number": 3,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige beten die Psalmen strukturiert im Rhythmus des kirchlichen Stundengebets, Seelsorger empfehlen passende Psalmen gezielt nach der jeweiligen Lebenssituation eines Ratsuchenden.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-330",
            "title": "entwickle einen Bibelvers-Memorierungs-Trainer mit Spaced Repetition",
            "prompt_number": 330,
            "prompt": "entwickle einen Bibelvers-Memorierungs-Trainer mit Spaced Repetition - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vers-Bibliothek nach Themen geordnet Trost/Glaube/Liebe/Weisheit mit vorgeschlagenen Kernversen, Spaced-Repetition-Algorithmus für optimale Wiederholungsintervalle, Lückentext-Übungsmodus zunehmend schwieriger werdend, Referenz-Zuordnungs-Übung Vers zu korrekter Bibelstelle zuordnen, tägliches Wiederholungs-Pensum mit Fortschrittsanzeige (ApexCharts Radial), eigene Verse zur persönlichen Sammlung hinzufügen, Memorier-Streak-Tracker aufeinanderfolgende Übungstage, Audio-Vorlese-Mockup zur Aussprache-Unterstützung, Gruppen-Wettbewerb-Mockup für Konfirmanden- oder Firmgruppen, Zertifikat bei abgeschlossenem Themenblock, Karteikarten-Ansicht mit Umdreh-Animation, GSAP Karten-Flip-Animationen - USE CASE: Konfirmanden und Erstkommunionkinder lernen zentrale Bibelverse nachhaltig statt nur kurzfristig für den Unterricht, Gläubige bauen sich über Jahre einen soliden Schatz auswendig gelernter Schriftworte für die persönliche Andacht auf. ## Kategorie 4: INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "overview": "entwickle einen Bibelvers-Memorierungs-Trainer mit Spaced Repetition",
            "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
            "category_number": 3,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Konfirmanden und Erstkommunionkinder lernen zentrale Bibelverse nachhaltig statt nur kurzfristig für den Unterricht, Gläubige bauen sich über Jahre einen soliden Schatz auswendig gelernter Schriftworte für die persönliche Andacht auf. ## Kategorie 4: INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-331",
            "title": "erstelle ein Vergleichsanalyse-Tool zu gemeinsamen Erzählungen in Koran und Bibel",
            "prompt_number": 331,
            "prompt": "erstelle ein Vergleichsanalyse-Tool zu gemeinsamen Erzählungen in Koran und Bibel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Thematische Gegenüberstellung gemeinsamer Gestalten Abraham/Ibrahim, Maria/Maryam, Jesus/Isa mit jeweiligem Quellentext nebeneinander, respektvolle Einordnung der jeweils eigenen theologischen Bedeutung ohne Wertung einer Tradition über die andere, Unterschiede-und-Gemeinsamkeiten-Matrix pro Erzählung sachlich dargestellt, historischer Kontext der Textentstehung beider Traditionen, Glossar arabischer und hebräischer Fachbegriffe mit Aussprache, Quellenangaben zu anerkannten islamischen und christlichen Kommentaren, Suchfunktion nach gemeinsamen Themen Schöpfung/Sintflut/Jüngstes-Gericht, Lernpfad für interessierte Laien beider Traditionen, Experten-Zitate-Sammlung aus offiziellen Dialogdokumenten, Feedback-Formular für theologische Korrekturhinweise, GSAP Text-Gegenüberstellungs-Animationen - USE CASE: Religionslehrer bereiten respektvollen interreligiösen Unterricht mit belegten Textvergleichen vor, am Dialog Interessierte beider Traditionen verstehen die eigene und die andere Glaubensüberlieferung fundierter statt oberflächlicher Klischees.",
            "overview": "erstelle ein Vergleichsanalyse-Tool zu gemeinsamen Erzählungen in Koran und Bibel",
            "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "category_number": 4,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Religionslehrer bereiten respektvollen interreligiösen Unterricht mit belegten Textvergleichen vor, am Dialog Interessierte beider Traditionen verstehen die eigene und die andere Glaubensüberlieferung fundierter statt oberflächlicher Klischees.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-332",
            "title": "entwickle einen Studienbegleiter zur Konzilserklärung Nostra Aetate",
            "prompt_number": 332,
            "prompt": "entwickle einen Studienbegleiter zur Konzilserklärung Nostra Aetate - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständiger Text der Erklärung von 1965 mit Absatz-für-Absatz-Kommentierung, historischer Entstehungskontext Zweites Vatikanisches Konzil und dessen Bedeutung, Kernaussagen-Zusammenfassung pro Religion Judentum/Islam/Hinduismus/Buddhismus, Rezeptionsgeschichte wie sich das christlich-jüdische Verhältnis seither entwickelt hat, Zeitleiste bedeutender interreligiöser Meilensteine nach 1965 (D3.js Timeline), Diskussionsfragen-Katalog für Studiengruppen, Vergleich zu vorkonziliaren Positionen zur Einordnung der Neuerung, Verknüpfung zu Folgedokumenten der Päpste zum interreligiösen Dialog, Zitat-Sammlung zentraler Sätze mit Quellenangabe, persönliches Studien-Tagebuch pro Kapitel, Quiz zum Textverständnis, GSAP Abschnitts-Einblend-Animationen - USE CASE: Theologiestudierende erarbeiten sich die Bedeutung von Nostra Aetate für das heutige interreligiöse Klima fundiert, Pfarrgemeinderäte bereiten Gesprächsabende zum jüdisch-christlichen Verhältnis auf Basis des offiziellen Konzilstextes vor.",
            "overview": "entwickle einen Studienbegleiter zur Konzilserklärung Nostra Aetate",
            "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "category_number": 4,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Theologiestudierende erarbeiten sich die Bedeutung von Nostra Aetate für das heutige interreligiöse Klima fundiert, Pfarrgemeinderäte bereiten Gesprächsabende zum jüdisch-christlichen Verhältnis auf Basis des offiziellen Konzilstextes vor.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-333",
            "title": "programmiere ein Weltreligionen-Vergleichs-Dashboard",
            "prompt_number": 333,
            "prompt": "programmiere ein Weltreligionen-Vergleichs-Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Vergleich der fünf großen Weltreligionen Christentum/Islam/Judentum/Hinduismus/Buddhismus nach einheitlichen Kategorien Gottesbild/Heilige-Schriften/Zentrale-Praxis/Ethik, neutrale sachliche Darstellungsweise ohne Wertung einer Tradition als überlegen, interaktive Matrix-Ansicht zum gezielten Zweiervergleich, Zeitleiste Entstehungszeitpunkt jeder Religion (D3.js Timeline), geografische Verbreitungs-Übersicht heute, Gemeinsamkeiten-Sektion goldene Regel und Nächstenliebe-Prinzip über alle Traditionen hinweg, Feiertage-Kalender-Vergleich der wichtigsten Feste je Religion, Glossar religionsspezifischer Fachbegriffe, Quellenverzeichnis anerkannter religionswissenschaftlicher Literatur pro Abschnitt, Lernpfad für Schule und Erwachsenenbildung, Feedback-Kanal für fachliche Korrekturen, GSAP Kategorie-Wechsel-Animationen - USE CASE: Religionslehrer vermitteln einen fundierten und respektvollen Überblick über die Weltreligionen im Unterricht, Teilnehmer an interreligiösen Dialogveranstaltungen bereiten sich mit belastbarem Grundwissen über die jeweils andere Tradition vor.",
            "overview": "programmiere ein Weltreligionen-Vergleichs-Dashboard",
            "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "category_number": 4,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Religionslehrer vermitteln einen fundierten und respektvollen Überblick über die Weltreligionen im Unterricht, Teilnehmer an interreligiösen Dialogveranstaltungen bereiten sich mit belastbarem Grundwissen über die jeweils andere Tradition vor.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-334",
            "title": "baue ein Vorbereitungs-Tool für interreligiöse Dialogtreffen",
            "prompt_number": 334,
            "prompt": "baue ein Vorbereitungs-Tool für interreligiöse Dialogtreffen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themen-Checkliste für ein anstehendes Dialogtreffen mit Vorschlägen zu respektvoller Gesprächsführung, Hintergrundwissen-Kompaktprofile der beteiligten Traditionen zur Vorbereitung, Häufige-Missverständnisse-Warnliste die im Dialog leicht zu Verletzungen führen können, Gesprächsleitfaden-Vorlagen für strukturierte Themenblöcke, Teilnehmer-Vorstellungsrunden-Vorlage mit Fragen zur eigenen Glaubenspraxis, Nachbereitungs-Protokoll-Vorlage für gemeinsame Erkenntnisse, Ressourcen-Bibliothek offizieller Dialogdokumente beider beteiligter Traditionen, Zeitplan-Baukasten für den Ablauf des Treffens, Konfliktvermeidungs-Hinweise bei sensiblen Themen, Feedback-Formular nach dem Treffen für die Teilnehmenden, Terminplanungs-Kalender für Folgetreffen, GSAP Ablauf-Checklisten-Animationen - USE CASE: Pfarreien und Moscheegemeinden bereiten gemeinsame Dialogabende strukturiert und respektvoll vor, Organisatoren interreligiöser Wochen vermeiden durch die Checklisten häufige Fettnäpfchen im Erstkontakt zwischen den Traditionen.",
            "overview": "baue ein Vorbereitungs-Tool für interreligiöse Dialogtreffen",
            "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "category_number": 4,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien und Moscheegemeinden bereiten gemeinsame Dialogabende strukturiert und respektvoll vor, Organisatoren interreligiöser Wochen vermeiden durch die Checklisten häufige Fettnäpfchen im Erstkontakt zwischen den Traditionen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-335",
            "title": "erstelle einen Gemeinsame-Werte-Finder über religiöse Traditionen hinweg",
            "prompt_number": 335,
            "prompt": "erstelle einen Gemeinsame-Werte-Finder über religiöse Traditionen hinweg - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Werte-Datenbank Nächstenliebe/Gastfreundschaft/Barmherzigkeit/Gerechtigkeit mit Belegstellen aus mehreren heiligen Schriften parallel, Goldene-Regel-Vergleich wortgetreu aus Bibel, Koran, Tora, buddhistischen und hinduistischen Schriften, Filterfunktion nach Wert oder nach Tradition, Kontext-Erklärung wie derselbe Wert innerhalb jeder Tradition praktisch gelebt wird, Übereinstimmungs-Visualisierung wie viele Traditionen einen bestimmten Wert teilen (D3.js Venn-artige Darstellung), Diskussionsimpulse für gemeinsame Sozialprojekte auf Basis geteilter Werte, Zitat-Sammlung religiöser Führungspersönlichkeiten zum interreligiösen Miteinander, Bildungsmaterial-Export für Schulklassen, Suchfunktion nach Stichwort über alle hinterlegten Traditionen, persönliche Reflexionsnotizen, GSAP Werte-Karten-Verbindungs-Animationen - USE CASE: Schulen und Jugendgruppen entdecken gemeinsam die ethischen Schnittmengen zwischen den Religionen ihrer Mitschüler, Sozialinitiativen mit interreligiöser Trägerschaft begründen ihre Zusammenarbeit mit den tatsächlichen gemeinsamen Grundlagen der beteiligten Traditionen.",
            "overview": "erstelle einen Gemeinsame-Werte-Finder über religiöse Traditionen hinweg",
            "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "category_number": 4,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Schulen und Jugendgruppen entdecken gemeinsam die ethischen Schnittmengen zwischen den Religionen ihrer Mitschüler, Sozialinitiativen mit interreligiöser Trägerschaft begründen ihre Zusammenarbeit mit den tatsächlichen gemeinsamen Grundlagen der beteiligten Traditionen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-336",
            "title": "entwickle eine Struktur-App für respektvolle Debatten über Glaubensfragen",
            "prompt_number": 336,
            "prompt": "entwickle eine Struktur-App für respektvolle Debatten über Glaubensfragen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Moderierter Gesprächsablauf mit festen Redezeiten und Rederunden pro Standpunkt, Regelwerk-Anzeige respektvolle Sprache und Verbot persönlicher Angriffe prominent eingeblendet, Themen-Vorschlags-Katalog kontroverser aber konstruktiv diskutierbarer Glaubensfragen, Standpunkt-Zusammenfassungs-Tool am Ende jeder Runde durch neutrale Formulierung, Zuhör-Bestätigungs-Funktion Teilnehmer bestätigt den anderen Standpunkt korrekt verstanden zu haben bevor er antwortet, Eskalations-Warnsystem bei zunehmend gereizter Wortwahl-Mockup, Protokoll-Export der geführten Debatte für Nachbereitung, Perspektivwechsel-Übung Teilnehmer formuliert kurz den gegnerischen Standpunkt, Fazit-Sektion gemeinsame Erkenntnisse statt Gewinner-Verlierer-Logik, Moderatoren-Leitfaden für Veranstalter, Bewertungs-Formular Gesprächsqualität statt Meinungssieg, GSAP Redezeit-Timer-Animationen - USE CASE: Universitätsgruppen und Gemeindekreise führen kontroverse Glaubensgespräche strukturiert ohne dass sie in gegenseitige Verletzung münden, Moderatoren interreligiöser Podien nutzen die Struktur als bewährten roten Faden.",
            "overview": "entwickle eine Struktur-App für respektvolle Debatten über Glaubensfragen",
            "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "category_number": 4,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Universitätsgruppen und Gemeindekreise führen kontroverse Glaubensgespräche strukturiert ohne dass sie in gegenseitige Verletzung münden, Moderatoren interreligiöser Podien nutzen die Struktur als bewährten roten Faden.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-337",
            "title": "programmiere einen Stammbaum-Explorer der abrahamitischen Religionen",
            "prompt_number": 337,
            "prompt": "programmiere einen Stammbaum-Explorer der abrahamitischen Religionen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gemeinsamer Stammbaum ausgehend von Abraham über Isaak und Ismael verzweigend zu Judentum-Christentum und Islam (D3.js Baumdiagramm), Klick-Erläuterung zu jeder Figur mit Bezug in allen drei Traditionen, theologische Bedeutungs-Unterschiede derselben Gestalt klar gekennzeichnet ohne eine Deutung als richtig oder falsch zu werten, Zeitleiste der drei Offenbarungstraditionen im historischen Verlauf, gemeinsame heilige Orte-Sektion Jerusalem und Hebron mit Bedeutung für alle drei Religionen, Glaubensbekenntnis-Kurzvergleich der drei Traditionen, Suchfunktion nach Personen des Stammbaums, Bildungsmaterial-Export für interreligiösen Unterricht, Quellenangaben zu Tora, Bibel und Koran pro Station, Diskussionsfragen zur gemeinsamen Wurzel bei unterschiedlicher Entfaltung, Feedback-Kanal für theologische Genauigkeit, GSAP Stammbaum-Verzweigungs-Animationen - USE CASE: Religionslehrer verdeutlichen Schülern die gemeinsame Wurzel der drei monotheistischen Weltreligionen visuell nachvollziehbar, interreligiöse Bildungshäuser nutzen den Explorer als Einstieg in vertiefende Dialogformate.",
            "overview": "programmiere einen Stammbaum-Explorer der abrahamitischen Religionen",
            "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "category_number": 4,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Religionslehrer verdeutlichen Schülern die gemeinsame Wurzel der drei monotheistischen Weltreligionen visuell nachvollziehbar, interreligiöse Bildungshäuser nutzen den Explorer als Einstieg in vertiefende Dialogformate.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-338",
            "title": "baue ein Studientool zum christlich-jüdischen Verhältnis nach Nostra Aetate",
            "prompt_number": 338,
            "prompt": "baue ein Studientool zum christlich-jüdischen Verhältnis nach Nostra Aetate - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historischer Überblick der Beziehungsentwicklung von den ersten Jahrhunderten bis zur Gegenwart mit besonderem Fokus auf die Zeit nach 1965, gemeinsame Schriftgrundlage-Sektion Altes Testament als Tanach in beiden Traditionen mit unterschiedlicher Auslegungstradition, Zeitleiste bedeutender Gesten der Annäherung Papstbesuche in Synagogen und deren Bedeutung, Glossar zentraler Begriffe des jüdisch-christlichen Dialogs, Zitat-Sammlung offizieller kirchlicher Dokumente zum Verhältnis zum Judentum, Diskussion der besonderen Erwählung Israels aus katholischer Sicht nach dem Konzil, Vergleich jüdischer und christlicher Feste mit gemeinsamen Wurzeln Pessach und Ostern, Lernpfad für Pfarrgemeinderäte zur Vorbereitung von Gedenktagen, Ressourcen zur Woche der Brüderlichkeit, persönliches Studien-Tagebuch, Quiz zum Textverständnis der behandelten Dokumente, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Pfarrgemeinderäte bereiten Gedenkveranstaltungen zum christlich-jüdischen Dialog theologisch fundiert vor, Studierende der Theologie vertiefen ihr Verständnis der offiziellen kirchlichen Position zum Judentum nach dem Konzil.",
            "overview": "baue ein Studientool zum christlich-jüdischen Verhältnis nach Nostra Aetate",
            "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "category_number": 4,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarrgemeinderäte bereiten Gedenkveranstaltungen zum christlich-jüdischen Dialog theologisch fundiert vor, Studierende der Theologie vertiefen ihr Verständnis der offiziellen kirchlichen Position zum Judentum nach dem Konzil.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-339",
            "title": "erstelle einen Kalender interreligiöser Gebetstage für den Frieden",
            "prompt_number": 339,
            "prompt": "erstelle einen Kalender interreligiöser Gebetstage für den Frieden - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Historische Dokumentation der Assisi-Gebetstreffen seit 1986 mit den beteiligten Religionsvertretern, Jahreskalender bedeutender interreligiöser Gedenk- und Gebetstage weltweit, Hintergrund-Erklärung zu jedem Treffen und dessen Bedeutung für den interreligiösen Dialog, Zitat-Sammlung der Schlussbotschaften vergangener Treffen, Weltgebetstag-Sektion mit Beteiligung verschiedener christlicher Konfessionen, lokale Veranstaltungs-Vorschläge für eigene interreligiöse Gebetsinitiativen, Teilnahme-Tracker eigene Teilnahme an solchen Veranstaltungen dokumentieren, Themen-Übersicht wofür in den jeweiligen Jahren gebetet wurde Frieden im Nahen Osten und andere Anliegen, Erinnerungs-Funktion für kommende Gedenktage, Bildergalerie-Platzhalter historischer Momente, Diskussionsfragen für Gemeindegruppen zur Bedeutung gemeinsamen Betens bei unterschiedlichem Gottesbild, GSAP Kalenderblatt-Animationen - USE CASE: Pfarreien und interreligiöse Initiativen orientieren sich an der Geschichte der Assisi-Treffen für eigene lokale Friedensgebete, Religionslehrer nutzen die dokumentierte Geschichte als Beispiel gelebten interreligiösen Miteinanders im Unterricht.",
            "overview": "erstelle einen Kalender interreligiöser Gebetstage für den Frieden",
            "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "category_number": 4,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien und interreligiöse Initiativen orientieren sich an der Geschichte der Assisi-Treffen für eigene lokale Friedensgebete, Religionslehrer nutzen die dokumentierte Geschichte als Beispiel gelebten interreligiösen Miteinanders im Unterricht.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-340",
            "title": "entwickle ein vergleichendes Studientool zur Eschatologie der Weltreligionen",
            "prompt_number": 340,
            "prompt": "entwickle ein vergleichendes Studientool zur Eschatologie der Weltreligionen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sachlicher Vergleich der Jenseitsvorstellungen Christentum-Auferstehung-des-Fleisches, Islam-Jüngstes-Gericht, jüdische Vorstellungen von Olam-ha-Ba, buddhistisches Nirvana, hinduistischer Kreislauf von Samsara und Moksha, Quellentexte-Zitate pro Tradition mit Originalbeleg, historische Entwicklung eschatologischer Vorstellungen innerhalb jeder Tradition über Jahrhunderte, Glossar eschatologischer Fachbegriffe aller behandelten Traditionen, Gemeinsamkeiten-Sektion Gerechtigkeit-nach-dem-Tod als verbindendes Element trotz unterschiedlicher Ausgestaltung, akademischer Tonfall mit Verweis auf religionswissenschaftliche Standardliteratur, Diskussionsfragen für ein Seminar zur vergleichenden Religionswissenschaft, Zeitleisten-Darstellung der Lehrentwicklung pro Tradition (D3.js), persönliche Notizen zur eigenen Auseinandersetzung mit den Vergleichen, Export als Seminararbeit-Grundlage, GSAP Konzept-Vergleichs-Animationen - USE CASE: Studierende der vergleichenden Religionswissenschaft erarbeiten sich einen fundierten Überblick über eschatologische Vorstellungen verschiedener Traditionen, Religionslehrer vermitteln den respektvollen akademischen Vergleich als Alternative zu vorschnellen Werturteilen über fremde Jenseitsvorstellungen. ## Kategorie 5: KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "overview": "entwickle ein vergleichendes Studientool zur Eschatologie der Weltreligionen",
            "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
            "category_number": 4,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Studierende der vergleichenden Religionswissenschaft erarbeiten sich einen fundierten Überblick über eschatologische Vorstellungen verschiedener Traditionen, Religionslehrer vermitteln den respektvollen akademischen Vergleich als Alternative zu vorschnellen Werturteilen über fremde Jenseitsvorstellungen. ## Kategorie 5: KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-341",
            "title": "erstelle einen Katechismus-Chatbot mit serverseitigem Proxy",
            "prompt_number": 341,
            "prompt": "erstelle einen Katechismus-Chatbot mit serverseitigem Proxy - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Konversationelles Frage-Antwort-Interface zum Katechismus der Katholischen Kirche mit Quellenverweis auf die jeweilige CCC-Randnummer, Themen-Schnellzugriff Glaubensbekenntnis/Sakramente/Leben-in-Christus/Gebet als vier Säulen, Streaming-Antworten mit Typewriter-Effekt, Konversations-Historie lokal gespeichert, Verwandte-Fragen-Vorschläge nach jeder Antwort, Zitier-Funktion Antwort mit CCC-Randnummer kopieren, Mehrsprachigkeits-Umschaltung, Feedback-Button war die Antwort theologisch korrekt und hilfreich, Eskalations-Hinweis bei komplexen moraltheologischen Fragen Verweis an einen Priester, Rate-Limit-Anzeige serverseitig verwalteter Anfragen, GSAP Chat-Bubble-Animationen - USE CASE: Katecheten nutzen den Chatbot zur schnellen Vorbereitung von Unterrichtseinheiten mit belegten Quellenangaben, Erwachsene in der Glaubensbildung stellen Fragen zum Katechismus in eigenen Worten statt im gedruckten Werk zu blättern. WICHTIG: alle Sprachmodell-Aufrufe laufen ausschließlich über einen serverseitigen Proxy-Endpunkt, niemals wird ein API-Key im Client-Code hinterlegt — dies behebt direkt den im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts mit hartcodiertem OpenAI-Key, so wie es kathsafe6 bereits korrekt über eine Proxy-Architektur löst.",
            "overview": "erstelle einen Katechismus-Chatbot mit serverseitigem Proxy",
            "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "category_number": 5,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Katecheten nutzen den Chatbot zur schnellen Vorbereitung von Unterrichtseinheiten mit belegten Quellenangaben, Erwachsene in der Glaubensbildung stellen Fragen zum Katechismus in eigenen Worten statt im gedruckten Werk zu blättern. WICHTIG: alle Sprachmodell-Aufrufe laufen ausschließlich über einen serverseitigen Proxy-Endpunkt, niemals wird ein API-Key im Client-Code hinterlegt — dies behebt direkt den im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts mit hartcodiertem OpenAI-Key, so wie es kathsafe6 bereits korrekt über eine Proxy-Architektur löst.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-342",
            "title": "entwickle einen Beichtvorbereitungs-Assistenten mit sicherer KI-Anbindung",
            "prompt_number": 342,
            "prompt": "entwickle einen Beichtvorbereitungs-Assistenten mit sicherer KI-Anbindung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Geführtes Gespräch zur Gewissenserforschung anhand der Zehn Gebote mit KI-gestützten vertiefenden Rückfragen, vollständige Vertraulichkeits-Erklärung alle Eingaben verlassen nur verschlüsselt den Server ohne dauerhafte Speicherung sensibler Inhalte, Themenblock-Auswahl nach Lebensbereichen Familie/Beruf/Ehrlichkeit/Keuschheit, Formulierungshilfe für die eigentliche Beichte am Ende des Gesprächs, historische Erklärung zum Bußsakrament eingebettet, Reue-Akt-Text in mehreren Fassungen zur Auswahl, Erinnerungs-Funktion für regelmäßige Beichte, keine Speicherung sensibler Beichtinhalte auf dem Server ausdrücklich dokumentiert, Abbruch-Funktion jederzeit ohne Datenspur, Feedback nach der Nutzung zur Verbesserung der Fragestellungen, GSAP sanfte Übergangs-Animationen ruhige Farbgestaltung - USE CASE: Gläubige bereiten sich vor einem selten gewordenen Beichtgang strukturiert und ohne Scham vor einem Menschen vor, Priester empfehlen die App Beichtkindern als Vorbereitungshilfe außerhalb des Beichtstuhls. WICHTIG: der KI-Zugriff erfolgt zwingend über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt als Lehre aus dem kathbot31/kathbottts-Sicherheitsfund im eigenen Archiv gezogen und wie bei kathsafe6 sauber umgesetzt.",
            "overview": "entwickle einen Beichtvorbereitungs-Assistenten mit sicherer KI-Anbindung",
            "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "category_number": 5,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige bereiten sich vor einem selten gewordenen Beichtgang strukturiert und ohne Scham vor einem Menschen vor, Priester empfehlen die App Beichtkindern als Vorbereitungshilfe außerhalb des Beichtstuhls. WICHTIG: der KI-Zugriff erfolgt zwingend über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt als Lehre aus dem kathbot31/kathbottts-Sicherheitsfund im eigenen Archiv gezogen und wie bei kathsafe6 sauber umgesetzt.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-343",
            "title": "programmiere einen Heiliger-des-Tages-Erklärbot mit Proxy-Architektur",
            "prompt_number": 343,
            "prompt": "programmiere einen Heiliger-des-Tages-Erklärbot mit Proxy-Architektur - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle Heiligen-Anzeige nach dem römischen Generalkalender mit KI-generierter vertiefender Erklärung zu Leben und Bedeutung, Nachfrage-Funktion im Chat weitere Details zu Wunder/Patronaten/Reliquien zu erfragen, Quellenangaben zu anerkannten Hagiographien in den Antworten, Patron-Suchfunktion welcher Heilige für welches Anliegen zuständig ist, historische Einordnung des Heiligen in seine Zeit, Bildergalerie-Platzhalter zu bekannten Darstellungen, Merktag-Funktion eigenen Namenspatron favorisieren mit Erinnerung, Vergleichs-Chat mehrere Heilige desselben Tages gegenüberstellen, Kinderfreundlicher-Erklärmodus vereinfachte Sprache umschaltbar, Feedback-Sternebewertung pro Erklärung, GSAP Heiligen-Karten-Einblend-Animationen - USE CASE: Familien erfahren beim Frühstück kindgerecht mehr über den Tagesheiligen und dessen Patronate, Katecheten nutzen den Bot zur schnellen Recherche für Namenstagsfeiern in der Gemeinde. WICHTIG: sämtliche KI-Anfragen laufen über einen serverseitigen Proxy-Endpunkt, ein API-Key wird niemals im Browser sichtbar — die direkte Konsequenz aus dem dokumentierten kathbot31/kathbottts-Fund, korrekt gelöst wie bereits bei kathsafe6.",
            "overview": "programmiere einen Heiliger-des-Tages-Erklärbot mit Proxy-Architektur",
            "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "category_number": 5,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Familien erfahren beim Frühstück kindgerecht mehr über den Tagesheiligen und dessen Patronate, Katecheten nutzen den Bot zur schnellen Recherche für Namenstagsfeiern in der Gemeinde. WICHTIG: sämtliche KI-Anfragen laufen über einen serverseitigen Proxy-Endpunkt, ein API-Key wird niemals im Browser sichtbar — die direkte Konsequenz aus dem dokumentierten kathbot31/kathbottts-Fund, korrekt gelöst wie bereits bei kathsafe6.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-344",
            "title": "baue einen theologischen Frage-Antwort-Bot zu moraltheologischen Themen",
            "prompt_number": 344,
            "prompt": "baue einen theologischen Frage-Antwort-Bot zu moraltheologischen Themen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface für Fragen zur katholischen Moraltheologie mit differenzierten, quellenbelegten Antworten, klare Kennzeichnung wann eine Frage über die KI-Kompetenz hinausgeht und ein persönliches Seelsorgegespräch empfohlen wird, Themenkategorien Sozialethik/Bioethik/Sexualmoral/Wirtschaftsethik strukturiert, Zitierfunktion mit Verweis auf Katechismus und lehramtliche Dokumente, Kontroversen-Kennzeichnung wo innerkirchlich unterschiedliche Auslegungstraditionen bestehen, Verwandte-Themen-Vorschläge nach jeder Antwort, Konversations-Historie durchsuchbar, Nutzungshinweis die App ersetzt kein persönliches Gespräch mit einem Priester prominent sichtbar, Feedback-Mechanismus bei fachlich fragwürdigen Antworten, Mehrsprachigkeit optional, GSAP Antwort-Streaming-Animationen - USE CASE: Studierende der Moraltheologie nutzen den Bot zur ersten Orientierung vor der Lektüre von Primärquellen, interessierte Laien erhalten differenzierte statt vereinfachte Antworten auf komplexe ethische Fragen. WICHTIG: der Bot ruft das Sprachmodell ausschließlich über einen serverseitigen Proxy auf, ein clientseitiger API-Key ist ausdrücklich verboten — dies ist die direkte, dokumentierte Lehre aus dem kathbot31/kathbottts-Sicherheitsfund, umgesetzt nach dem Vorbild von kathsafe6.",
            "overview": "baue einen theologischen Frage-Antwort-Bot zu moraltheologischen Themen",
            "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "category_number": 5,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Studierende der Moraltheologie nutzen den Bot zur ersten Orientierung vor der Lektüre von Primärquellen, interessierte Laien erhalten differenzierte statt vereinfachte Antworten auf komplexe ethische Fragen. WICHTIG: der Bot ruft das Sprachmodell ausschließlich über einen serverseitigen Proxy auf, ein clientseitiger API-Key ist ausdrücklich verboten — dies ist die direkte, dokumentierte Lehre aus dem kathbot31/kathbottts-Sicherheitsfund, umgesetzt nach dem Vorbild von kathsafe6.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-345",
            "title": "erstelle einen Bibelstellen-Erklärungs-Assistenten mit Proxy-gesicherter KI",
            "prompt_number": 345,
            "prompt": "erstelle einen Bibelstellen-Erklärungs-Assistenten mit Proxy-gesicherter KI - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe einer Bibelstelle mit KI-generierter Auslegung unter Einbezug patristischer Kommentare, Kontext-Erklärung historischer und literarischer Hintergrund der Stelle, Verweis-Funktion zu verwandten Stellen im Kanon, mehrere Auslegungstraditionen nebeneinander wörtlich/allegorisch/moralisch/anagogisch nach dem vierfachen Schriftsinn, Kirchenväter-Zitat-Einbindung Augustinus/Hieronymus/Chrysostomus zur jeweiligen Stelle, Nachfrage-Chat für vertiefende Fragen zur Auslegung, Quellenangaben transparent nachvollziehbar, Lesezeichen-Sammlung erklärter Stellen, Export der Erklärung als Studienunterlage, Feedback-Mechanismus bei theologischen Unstimmigkeiten, GSAP Erklärungs-Einblend-Animationen - USE CASE: Bibelkreisleiter bereiten Auslegungen mit Rückgriff auf die klassische vierfache Schriftauslegung vor, ernsthafte Laien vertiefen ihr Verständnis schwieriger Bibelstellen über oberflächliche Lesarten hinaus. WICHTIG: alle Anfragen an das Sprachmodell laufen über einen serverseitigen Proxy, niemals über einen im Frontend sichtbaren API-Key — konsequente Umsetzung der Lehre aus dem kathbot31/kathbottts-Fund, wie bereits bei kathsafe6 vorgemacht.",
            "overview": "erstelle einen Bibelstellen-Erklärungs-Assistenten mit Proxy-gesicherter KI",
            "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "category_number": 5,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Bibelkreisleiter bereiten Auslegungen mit Rückgriff auf die klassische vierfache Schriftauslegung vor, ernsthafte Laien vertiefen ihr Verständnis schwieriger Bibelstellen über oberflächliche Lesarten hinaus. WICHTIG: alle Anfragen an das Sprachmodell laufen über einen serverseitigen Proxy, niemals über einen im Frontend sichtbaren API-Key — konsequente Umsetzung der Lehre aus dem kathbot31/kathbottts-Fund, wie bereits bei kathsafe6 vorgemacht.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-346",
            "title": "entwickle einen KI-Gebetsvorschlags-Assistenten für persönliche Lebenslagen",
            "prompt_number": 346,
            "prompt": "entwickle einen KI-Gebetsvorschlags-Assistenten für persönliche Lebenslagen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Eingabe der eigenen Lebenssituation Trauer/Freude/Angst/Dankbarkeit mit KI-Vorschlag passender traditioneller Gebete statt KI-generierter Ersatzgebete, Bibliothek klassischer Gebete als bevorzugte Antwortquelle vor freier KI-Formulierung, transparente Kennzeichnung ob ein Gebetstext traditionell überliefert oder KI-unterstützt zusammengestellt wurde, Verweis auf passende Psalmen zur jeweiligen Stimmungslage, persönliche Gebets-Historie welche Vorschläge genutzt wurden, Feedback-Funktion ob der Vorschlag als hilfreich empfunden wurde, Fürsprecher-Empfehlung passender Heiliger je nach Anliegen, Erinnerungs-Funktion für wiederkehrende Anliegen, Mehrsprachigkeit für Gebetstexte, Offline-Fallback mit vorinstallierter Gebetsbibliothek ohne KI-Anbindung, GSAP sanfte Einblend-Animationen - USE CASE: Menschen in seelischer Not finden rasch ein passendes traditionelles Gebet statt einer unpersönlichen Standardantwort, Seelsorger empfehlen die App als niedrigschwelligen ersten Zugang zum Gebetsschatz der Kirche. WICHTIG: die KI-Komponente läuft ausschließlich über einen serverseitigen Proxy ohne jeglichen API-Key im Client, in direkter Konsequenz aus dem kathbot31/kathbottts-Fund und nach dem sicheren Vorbild von kathsafe6.",
            "overview": "entwickle einen KI-Gebetsvorschlags-Assistenten für persönliche Lebenslagen",
            "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "category_number": 5,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Menschen in seelischer Not finden rasch ein passendes traditionelles Gebet statt einer unpersönlichen Standardantwort, Seelsorger empfehlen die App als niedrigschwelligen ersten Zugang zum Gebetsschatz der Kirche. WICHTIG: die KI-Komponente läuft ausschließlich über einen serverseitigen Proxy ohne jeglichen API-Key im Client, in direkter Konsequenz aus dem kathbot31/kathbottts-Fund und nach dem sicheren Vorbild von kathsafe6.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-347",
            "title": "programmiere einen Apologetik-Trainings-Chatbot zum Einwände-Üben",
            "prompt_number": 347,
            "prompt": "programmiere einen Apologetik-Trainings-Chatbot zum Einwände-Üben - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Simulierte Gesprächspartner-Rolle die typische Einwände gegen den katholischen Glauben vorbringt zum Übungszwecke, Schwierigkeitsgrade von häufigen Alltagsfragen bis zu anspruchsvollen philosophischen Einwänden, Feedback zur eigenen Antwort mit Verweis auf fundierte apologetische Argumentationslinien, Themenbibliothek Gottesbeweise/Theodizee/historische-Jesus-Frage/Kirchengeschichte-Kritik, Punktesystem für überzeugend formulierte Antworten als Lernanreiz, Nachbesprechungs-Modus bessere Formulierung nach eigenem Versuch vorgeschlagen, respektvoller Ton auch bei scharfen Einwänden ausdrücklich vorgegeben, Fortschritts-Tracking geübte Themenbereiche (ApexCharts Radial), Quellen-Verweis zu anerkannter apologetischer Literatur nach jeder Übung, Export eigener Übungsantworten zur Wiederholung, GSAP Dialog-Wechsel-Animationen - USE CASE: Ehrenamtliche in der Glaubensvermittlung üben souveräne Antworten auf kritische Nachfragen vor echten Gesprächen, Religionslehrer bereiten Oberstufenschüler auf kontroverse Diskussionen über den Glauben vor. WICHTIG: der simulierte Gesprächspartner läuft technisch über einen serverseitigen Proxy zum Sprachmodell, ein API-Key im Frontend ist ausgeschlossen — genau die Lehre aus dem dokumentierten kathbot31/kathbottts-Fund, sicher umgesetzt wie bei kathsafe6.",
            "overview": "programmiere einen Apologetik-Trainings-Chatbot zum Einwände-Üben",
            "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "category_number": 5,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Ehrenamtliche in der Glaubensvermittlung üben souveräne Antworten auf kritische Nachfragen vor echten Gesprächen, Religionslehrer bereiten Oberstufenschüler auf kontroverse Diskussionen über den Glauben vor. WICHTIG: der simulierte Gesprächspartner läuft technisch über einen serverseitigen Proxy zum Sprachmodell, ein API-Key im Frontend ist ausgeschlossen — genau die Lehre aus dem dokumentierten kathbot31/kathbottts-Fund, sicher umgesetzt wie bei kathsafe6.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-348",
            "title": "baue einen Kirchenrecht-Frage-Bot zum Codex Iuris Canonici",
            "prompt_number": 348,
            "prompt": "baue einen Kirchenrecht-Frage-Bot zum Codex Iuris Canonici - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface zu Fragen des kirchlichen Rechts mit Verweis auf die jeweils einschlägigen Canones, Themenbereiche Ehe-und-Eherecht/Sakramentenrecht/Kirchliches-Strafrecht/Verfahrensrecht strukturiert, klare Kennzeichnung wann eine Frage anwaltliche beziehungsweise offizielle bischöfliche Klärung erfordert, Zitierfunktion mit korrekter Canon-Nummerierung, Verwandte-Canones-Vorschläge nach jeder Antwort, Fallbeispiel-Bibliothek anonymisierter typischer Anfragen zur Veranschaulichung, Glossar kirchenrechtlicher Fachbegriffe, Konversations-Export für die eigene Weiterbearbeitung mit einem Kirchenrechtler, Feedback-Mechanismus bei fachlichen Unstimmigkeiten, Mehrsprachigkeit für lateinische Fachtermini mit Übersetzung, GSAP Antwort-Streaming-Animationen - USE CASE: Pfarrsekretäre erhalten eine erste Orientierung zu kirchenrechtlichen Standardfragen etwa im Eheprozess, Kirchenrecht-Studierende nutzen den Bot zur Vertiefung mit korrekten Canon-Verweisen. WICHTIG: alle Sprachmodell-Aufrufe erfolgen über einen serverseitigen Proxy, niemals über einen im Client hinterlegten API-Key — die direkte technische Lehre aus dem kathbot31/kathbottts-Fund, sauber gelöst analog zu kathsafe6.",
            "overview": "baue einen Kirchenrecht-Frage-Bot zum Codex Iuris Canonici",
            "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "category_number": 5,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarrsekretäre erhalten eine erste Orientierung zu kirchenrechtlichen Standardfragen etwa im Eheprozess, Kirchenrecht-Studierende nutzen den Bot zur Vertiefung mit korrekten Canon-Verweisen. WICHTIG: alle Sprachmodell-Aufrufe erfolgen über einen serverseitigen Proxy, niemals über einen im Client hinterlegten API-Key — die direkte technische Lehre aus dem kathbot31/kathbottts-Fund, sauber gelöst analog zu kathsafe6.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-349",
            "title": "erstelle einen Familiengebets-KI-Assistenten zur gemeinsamen Andachtsplanung",
            "prompt_number": 349,
            "prompt": "erstelle einen Familiengebets-KI-Assistenten zur gemeinsamen Andachtsplanung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KI-gestützte Vorschläge für altersgerechte Familienandachten je nach Kinderalter und Kirchenjahreszeit, Themenbibliothek Adventskranz-Andacht/Tischgebet-Varianten/Abendgebet-für-Kinder als bevorzugte Quelle vor freier KI-Formulierung, Interaktive Erstellung eines individuellen Wochenplans für Familiengebet, Verweis auf altersgerechte Bibelgeschichten passend zum jeweiligen Sonntag, Feedback-Funktion der Kinder wie das Gebet ankam als Emoji-Bewertung, Erinnerungs-Funktion für die vereinbarte Gebetszeit, Vorlagen-Bibliothek für besondere Anlässe Geburtstag/Krankheit/Trauerfall in der Familie, Mehrsprachigkeits-Option für binationale Familien, Offline-Vorlagen-Fallback ohne KI-Anbindung verfügbar, Transparenz-Hinweis welche Inhalte KI-unterstützt und welche traditionell überliefert sind, GSAP kindgerechte verspielte Animationen - USE CASE: Familien gestalten das gemeinsame Gebet abwechslungsreich altersgerecht statt immer dieselbe Formel zu wiederholen, Pfarreien empfehlen die App jungen Familien zur Stärkung der häuslichen Glaubenspraxis. WICHTIG: die KI-Funktion läuft ausschließlich über einen serverseitigen Proxy, ein API-Key wird nie im Browser gespeichert — konsequent umgesetzt nach der Lehre aus dem kathbot31/kathbottts-Fund und dem sicheren Muster von kathsafe6.",
            "overview": "erstelle einen Familiengebets-KI-Assistenten zur gemeinsamen Andachtsplanung",
            "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "category_number": 5,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Familien gestalten das gemeinsame Gebet abwechslungsreich altersgerecht statt immer dieselbe Formel zu wiederholen, Pfarreien empfehlen die App jungen Familien zur Stärkung der häuslichen Glaubenspraxis. WICHTIG: die KI-Funktion läuft ausschließlich über einen serverseitigen Proxy, ein API-Key wird nie im Browser gespeichert — konsequent umgesetzt nach der Lehre aus dem kathbot31/kathbottts-Fund und dem sicheren Muster von kathsafe6.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-350",
            "title": "entwickle einen RCIA-Vorbereitungs-Chatbot für Taufbewerber",
            "prompt_number": 350,
            "prompt": "entwickle einen RCIA-Vorbereitungs-Chatbot für Taufbewerber - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface für Fragen von Katechumenen und Taufbewerbern zu Glaubensinhalten und dem Ablauf der Eingliederung, strukturierte Begleitung entlang der klassischen RCIA-Phasen Anfrage/Katechumenat/Erleuchtung/Mystagogie, persönlicher Fragen-Verlauf während der gesamten Vorbereitungszeit, Verweis auf passende Katechismus-Abschnitte zu gestellten Fragen, Terminübersicht der Riten während des Katechumenats Aufnahme/Skrutinien/Osternacht-Taufe, Austauschmöglichkeit mit dem eigenen Paten-Kontakt außerhalb der KI, Fortschritts-Tracking durch die Vorbereitungsphasen (ApexCharts Stepper), Feedback-Mechanismus bei unklaren oder fachlich fragwürdigen Antworten, klare Kennzeichnung dass die App die persönliche Begleitung durch Priester und Katecheten ergänzt statt ersetzt, GSAP Phasen-Fortschritts-Animationen - USE CASE: Erwachsene auf dem Weg zur Taufe oder vollen Aufnahme in die Kirche klären Verständnisfragen niedrigschwellig zwischen den Katechumenats-Treffen, Gemeindekatecheten entlasten die persönliche Begleitung durch eine gut dokumentierte KI-Ergänzung. WICHTIG: sämtliche KI-Aufrufe laufen über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt die Konsequenz aus dem im eigenen Bestand dokumentierten kathbot31/kathbottts-Sicherheitsfund, so wie es kathsafe6 bereits vorbildlich löst. ## Kategorie 6: HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "overview": "entwickle einen RCIA-Vorbereitungs-Chatbot für Taufbewerber",
            "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
            "category_number": 5,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Erwachsene auf dem Weg zur Taufe oder vollen Aufnahme in die Kirche klären Verständnisfragen niedrigschwellig zwischen den Katechumenats-Treffen, Gemeindekatecheten entlasten die persönliche Begleitung durch eine gut dokumentierte KI-Ergänzung. WICHTIG: sämtliche KI-Aufrufe laufen über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt die Konsequenz aus dem im eigenen Bestand dokumentierten kathbot31/kathbottts-Sicherheitsfund, so wie es kathsafe6 bereits vorbildlich löst. ## Kategorie 6: HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-351",
            "title": "erstelle einen Heiligen-Biografie-Explorer mit Patronats-Suche",
            "prompt_number": 351,
            "prompt": "erstelle einen Heiligen-Biografie-Explorer mit Patronats-Suche - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbare Heiligen-Datenbank mit Lebensdaten/Herkunft/Ordenszugehörigkeit, Patronats-Suchfunktion welcher Heilige für welchen Berufsstand oder welches Anliegen zuständig ist, Zeitepochen-Filter Urkirche/Mittelalter/Neuzeit/Moderne, Kanonisierungsprozess-Erklärung Seligsprechung versus Heiligsprechung mit Ablaufschema, Wunder-Dokumentation soweit offiziell anerkannt mit Quellenangabe, Ikonografie-Erklärung typische Attribute in der Kunstdarstellung, Verwandte-Heilige-Vorschläge gleicher Orden oder gleiches Jahrhundert, Namenstag-Kalender-Verknüpfung, Zitat-Sammlung überlieferter Aussprüche, Favoriten-Liste eigener Namenspatrone und Fürsprecher, Export Heiligen-Steckbrief als PDF, GSAP Biografie-Karten-Animationen - USE CASE: Gläubige finden gezielt einen passenden Fürsprecher für ein bestimmtes Lebensanliegen, Katecheten bereiten Namenstagsfeiern mit fundiertem biografischem Hintergrundwissen vor.",
            "overview": "erstelle einen Heiligen-Biografie-Explorer mit Patronats-Suche",
            "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "category_number": 6,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige finden gezielt einen passenden Fürsprecher für ein bestimmtes Lebensanliegen, Katecheten bereiten Namenstagsfeiern mit fundiertem biografischem Hintergrundwissen vor.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-352",
            "title": "entwickle eine Kirchengeschichte-Zeitleiste von der Urkirche bis heute",
            "prompt_number": 352,
            "prompt": "entwickle eine Kirchengeschichte-Zeitleiste von der Urkirche bis heute - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Interaktive Zeitleiste über zwei Jahrtausende mit Epochen-Einteilung Verfolgungszeit/Konstantinische-Wende/Mittelalter/Reformation/Moderne (D3.js Timeline), Klick-Vertiefung zu Schlüsselereignissen mit Quellenangabe, Konzilien-Markierungen entlang der Zeitleiste mit direkter Verlinkung, Päpste-Zuordnung welcher Papst zu welcher Epoche amtierte, Schisma-und-Einheits-Ereignisse Ost-West-Schisma-1054 und Reformation-1517 mit historischer Einordnung, Missions-Ausbreitungs-Karten-Verweis pro Epoche, Ordensgründungen entlang der Zeitleiste markiert, Verfolgungs-und-Martyrium-Perioden mit Zahlen soweit historisch belegt, Filterfunktion nach Region oder Themenschwerpunkt, Export einzelner Epochen als Unterrichtsmaterial, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Religionslehrer vermitteln die zweitausendjährige Kirchengeschichte anschaulich im Gesamtzusammenhang statt in isolierten Einzelstunden, Geschichtsinteressierte Laien verschaffen sich einen fundierten chronologischen Überblick.",
            "overview": "entwickle eine Kirchengeschichte-Zeitleiste von der Urkirche bis heute",
            "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "category_number": 6,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Religionslehrer vermitteln die zweitausendjährige Kirchengeschichte anschaulich im Gesamtzusammenhang statt in isolierten Einzelstunden, Geschichtsinteressierte Laien verschaffen sich einen fundierten chronologischen Überblick.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-353",
            "title": "programmiere einen Martyrologium-Kalender mit Tagesgedenken",
            "prompt_number": 353,
            "prompt": "programmiere einen Martyrologium-Kalender mit Tagesgedenken - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle Anzeige der im römischen Martyrologium verzeichneten Märtyrer und Heiligen des Tages, historischer Hintergrund zum Martyrium mit Ort und Umständen soweit überliefert, Verfolgungsperioden-Zuordnung Römische-Verfolgung/Reformationszeit/Moderne-Verfolgung, Filterfunktion nach Jahrhundert oder Region, Gedenktag-Erinnerungs-Funktion für persönlich bedeutsame Märtyrer, Zitat-Sammlung letzter überlieferter Worte soweit dokumentiert, Vergleichs-Statistik Anzahl verzeichneter Märtyrer pro Jahrhundert (ApexCharts Balken), Bildungsmaterial-Export für den Religionsunterricht, Verwandte-Märtyrer-Gruppen gemeinsam hingerichtete Gruppen zusammengefasst, moderne Märtyrer-Sektion mit Bezug auf das 20. und 21. Jahrhundert, Suchfunktion nach Namen oder Ort, GSAP Tagesgedenken-Einblend-Animationen - USE CASE: Pfarreien gestalten Gedenkgottesdienste mit historisch fundiertem Hintergrundwissen zu den Tagesmärtyrern, Geschichtsinteressierte erschließen sich systematisch die Verfolgungsgeschichte des Christentums über die Jahrhunderte.",
            "overview": "programmiere einen Martyrologium-Kalender mit Tagesgedenken",
            "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "category_number": 6,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien gestalten Gedenkgottesdienste mit historisch fundiertem Hintergrundwissen zu den Tagesmärtyrern, Geschichtsinteressierte erschließen sich systematisch die Verfolgungsgeschichte des Christentums über die Jahrhunderte.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-354",
            "title": "baue ein Geschichtsarchiv bedeutender Wallfahrtsorte",
            "prompt_number": 354,
            "prompt": "baue ein Geschichtsarchiv bedeutender Wallfahrtsorte - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historische Entstehungsgeschichte bedeutender Wallfahrtsorte Lourdes/Fatima/Santiago-de-Compostela/Altötting mit belegtem Erscheinungs- oder Gründungskontext, kirchliche Anerkennungsgeschichte des jeweiligen Ortes mit Datum, Wallfahrts-Entwicklung über die Jahrhunderte Besucherzahlen-Verlauf soweit dokumentiert (ApexCharts Line), architekturgeschichtliche Entwicklung der Wallfahrtskirche, bedeutende Papstbesuche am jeweiligen Ort chronologisch, Legenden-versus-historisch-belegte-Fakten transparent unterschieden, Reliquien-und-Gnadenbild-Beschreibung, Vergleichs-Ansicht mehrerer Wallfahrtsorte nebeneinander, Zitat-Sammlung bedeutender Wallfahrer-Berichte, Bildungsmaterial-Export, GSAP historische Zeitleisten-Animationen - USE CASE: Geschichtsinteressierte Pilger vertiefen ihr Verständnis für die historische Entwicklung eines Wallfahrtsortes vor dem eigenen Besuch, Reiseleiter kirchlicher Gruppenreisen bereiten fundierte historische Erläuterungen für Wallfahrtsgruppen vor.",
            "overview": "baue ein Geschichtsarchiv bedeutender Wallfahrtsorte",
            "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "category_number": 6,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Geschichtsinteressierte Pilger vertiefen ihr Verständnis für die historische Entwicklung eines Wallfahrtsortes vor dem eigenen Besuch, Reiseleiter kirchlicher Gruppenreisen bereiten fundierte historische Erläuterungen für Wallfahrtsgruppen vor.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-355",
            "title": "erstelle einen Konzilsgeschichte-Visualizer von Nicäa bis zum Zweiten Vatikanum",
            "prompt_number": 355,
            "prompt": "erstelle einen Konzilsgeschichte-Visualizer von Nicäa bis zum Zweiten Vatikanum - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Chronologische Übersicht aller 21 ökumenischen Konzilien mit Ort/Jahr/Hauptthema, Vertiefungs-Ansicht pro Konzil zentrale Beschlüsse und deren Bedeutung, Nicäa-325-Schwerpunkt Homousios-Formel und Trinitätslehre verständlich erklärt, Trient-Schwerpunkt Reaktion auf die Reformation mit zentralen Dekreten, Vatikanum-I-und-II-Vergleich Unfehlbarkeitsdogma und pastorale Öffnung gegenübergestellt, Teilnehmerzahlen-Entwicklung über die Jahrhunderte (ApexCharts Balken), Streitfragen-Sektion pro Konzil welche Positionen diskutiert und welche verworfen wurden, Rezeptionsgeschichte wie Konzilsbeschlüsse in der Kirche aufgenommen wurden, Glossar konziliarer Fachbegriffe Dogma/Kanon/Dekret, Quellenangaben zu den Originaltexten, GSAP Konzils-Zeitleisten-Animationen - USE CASE: Theologiestudierende erarbeiten sich einen strukturierten Überblick über die Konzilsgeschichte für Prüfungen, Katecheten erklären interessierten Laien die Entwicklung zentraler Glaubenslehren anhand der Konzilsgeschichte nachvollziehbar.",
            "overview": "erstelle einen Konzilsgeschichte-Visualizer von Nicäa bis zum Zweiten Vatikanum",
            "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "category_number": 6,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Theologiestudierende erarbeiten sich einen strukturierten Überblick über die Konzilsgeschichte für Prüfungen, Katecheten erklären interessierten Laien die Entwicklung zentraler Glaubenslehren anhand der Konzilsgeschichte nachvollziehbar.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-356",
            "title": "entwickle einen Ordensgeschichte-Tracker religiöser Gemeinschaften",
            "prompt_number": 356,
            "prompt": "entwickle einen Ordensgeschichte-Tracker religiöser Gemeinschaften - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Datenbank bedeutender Ordensgemeinschaften Benediktiner/Franziskaner/Dominikaner/Jesuiten mit Gründungsjahr und Gründergestalt, Ordensregel-Kurzvergleich Benediktinerregel-Ora-et-Labora versus franziskanisches Armutsideal versus jesuitische Exerzitien-Spiritualität, Ausbreitungs-Zeitleiste pro Orden über die Jahrhunderte, Reformbewegungen-innerhalb-der-Orden zum Beispiel Zisterzienser als Benediktiner-Reform, Charismen-Vergleich Kontemplation/Bildung/Mission/Predigt pro Ordensfamilie, bedeutende Ordensmitglieder-Verweis zu zugehörigen Heiligen, heutige Präsenz-Übersicht Mitgliederzahlen-Entwicklung soweit dokumentiert (ApexCharts Line), Kloster-Architektur-Merkmale pro Ordenstradition, Suchfunktion nach Orden oder Gründungsjahrhundert, Vergleichstabelle mehrerer Orden nebeneinander, GSAP Ordens-Zeitleisten-Animationen - USE CASE: Studierende der Kirchengeschichte verschaffen sich einen systematischen Überblick über die Vielfalt religiöser Gemeinschaften, an Ordensberufung Interessierte informieren sich fundiert über Charisma und Geschichte verschiedener Ordensfamilien.",
            "overview": "entwickle einen Ordensgeschichte-Tracker religiöser Gemeinschaften",
            "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "category_number": 6,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Studierende der Kirchengeschichte verschaffen sich einen systematischen Überblick über die Vielfalt religiöser Gemeinschaften, an Ordensberufung Interessierte informieren sich fundiert über Charisma und Geschichte verschiedener Ordensfamilien.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-357",
            "title": "programmiere einen Katakomben-und-Frühchristentum-Explorer",
            "prompt_number": 357,
            "prompt": "programmiere einen Katakomben-und-Frühchristentum-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übersicht bedeutender römischer Katakomben Calixtus/Domitilla/Priscilla mit historischem Entstehungskontext, frühchristliche Symbolik-Erklärung Fisch-Ichthys/Anker/Guter-Hirte mit Bedeutungshintergrund, Verfolgungsperioden-Zeitleiste unter verschiedenen römischen Kaisern, archäologische Fundstücke-Beschreibung Inschriften und Grabmalereien, Alltagsleben-der-Urkirche-Sektion Hausgemeinden und geheime Zusammenkünfte, Konstantinische-Wende-Erklärung Mailänder-Vereinbarung-313 und deren Folgen, Vergleich frühchristlicher versus späterer kirchlicher Kunst, Glossar frühchristlicher Fachbegriffe, virtuelle-Rundgang-Beschreibung Mockup durch eine Katakombe mit Stationen, Quellenangaben zu archäologischen und patristischen Belegen, GSAP Katakomben-Rundgang-Animationen - USE CASE: Geschichtsinteressierte erschließen sich anschaulich das Leben der Urkirche vor der Konstantinischen Wende, Pilger nach Rom bereiten den Besuch der Katakomben mit fundiertem historischem Hintergrundwissen vor.",
            "overview": "programmiere einen Katakomben-und-Frühchristentum-Explorer",
            "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "category_number": 6,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Geschichtsinteressierte erschließen sich anschaulich das Leben der Urkirche vor der Konstantinischen Wende, Pilger nach Rom bereiten den Besuch der Katakomben mit fundiertem historischem Hintergrundwissen vor.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-358",
            "title": "baue eine Päpste-Chronik mit vollständiger Zeitleiste",
            "prompt_number": 358,
            "prompt": "baue eine Päpste-Chronik mit vollständiger Zeitleiste - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Chronologische Liste aller Päpste von Petrus bis zur Gegenwart mit Pontifikatsdauer, Amtszeit-Statistik längste und kürzeste Pontifikate im Vergleich (ApexCharts Balken), historische Einordnung jedes Pontifikats in seine Epoche, Gegenpapst-Kennzeichnung Zeiten des Abendländischen Schismas transparent erklärt, thematische Filterung Reform-Päpste/Konzils-Päpste/Missions-Päpste, Enzykliken-Verweis zu bedeutenden Lehrschreiben pro Papst, Wahlverfahren-Erklärung Konklave-Ablauf mit historischer Entwicklung, Herkunfts-Statistik geografische Verteilung der Päpste über die Jahrhunderte, Suchfunktion nach Name oder Jahrhundert, Vergleichsansicht zweier Pontifikate nebeneinander, GSAP Papst-Portrait-Zeitleisten-Animationen - USE CASE: Geschichtsinteressierte verschaffen sich einen strukturierten Überblick über zweitausend Jahre Papstgeschichte, Religionslehrer nutzen die Chronik zur Veranschaulichung der ununterbrochenen apostolischen Sukzession im Unterricht.",
            "overview": "baue eine Päpste-Chronik mit vollständiger Zeitleiste",
            "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "category_number": 6,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Geschichtsinteressierte verschaffen sich einen strukturierten Überblick über zweitausend Jahre Papstgeschichte, Religionslehrer nutzen die Chronik zur Veranschaulichung der ununterbrochenen apostolischen Sukzession im Unterricht.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-359",
            "title": "erstelle ein Studientool zu den großen Kirchenvätern",
            "prompt_number": 359,
            "prompt": "erstelle ein Studientool zu den großen Kirchenvätern - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Profile bedeutender Kirchenväter Augustinus/Ambrosius/Hieronymus/Chrysostomus/Gregor-der-Große mit Lebensdaten und theologischem Schwerpunkt, Kernwerke-Übersicht pro Kirchenvater mit Kurzzusammenfassung, Zitat-Sammlung bekannter Aussprüche mit Quellenangabe, Ost-West-Kennzeichnung griechische versus lateinische Kirchenväter mit jeweiligem theologischem Akzent, Einfluss-Netzwerk-Visualisierung wer wen theologisch beeinflusst hat (D3.js Graph), Lehramtliche-Rezeption-Sektion wie Kirchenväter-Aussagen in spätere Konzilsentscheidungen einflossen, Lesehilfe-Auszüge aus Originalwerken mit Erläuterung, Vergleichstabelle theologischer Positionen zu zentralen Streitfragen, Suchfunktion nach Thema oder Kirchenvater, Studienplan-Vorschlag für eine systematische Kirchenväter-Lektüre, GSAP Portrait-Karten-Animationen - USE CASE: Theologiestudierende bereiten sich mit strukturiertem Grundwissen auf patristische Seminare vor, ernsthafte Laien vertiefen ihr Verständnis der frühen Kirche über die Lehre der Kirchenväter.",
            "overview": "erstelle ein Studientool zu den großen Kirchenvätern",
            "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "category_number": 6,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Theologiestudierende bereiten sich mit strukturiertem Grundwissen auf patristische Seminare vor, ernsthafte Laien vertiefen ihr Verständnis der frühen Kirche über die Lehre der Kirchenväter.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-360",
            "title": "entwickle ein Dokumentationsarchiv zu Reliquien und anerkannten Wundern",
            "prompt_number": 360,
            "prompt": "entwickle ein Dokumentationsarchiv zu Reliquien und anerkannten Wundern - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Übersicht bedeutender Reliquien mit Aufbewahrungsort und Echtheits-Diskussionsstand nach kirchlicher Prüfung, Erklärung der Reliquien-Kategorien Erster-Zweiter-Dritter-Grad nach kirchlichem Verständnis, Wunder-Dokumentation im Rahmen von Kanonisierungsprozessen mit dem Ablauf der medizinischen und theologischen Prüfung, bekannte eucharistische Wunder-Sektion mit historischem Prüfungsstand, kritische-und-respektvolle-Darstellung wissenschaftlich ungeklärter Phänomene ohne unseriöse Sensationalisierung, Zeitleiste bedeutender Kanonisierungsprozesse, Glossar der Fachbegriffe Translation/Kultstätte/Authentizitätsprüfung, Quellenangaben zu offiziellen kirchlichen Untersuchungsberichten, Suchfunktion nach Ort oder Heiligem, Bildungsmaterial-Export für interessierte Gruppen, GSAP Dokumentations-Karten-Animationen - USE CASE: Geschichtsinteressierte erschließen sich die kirchliche Prüfpraxis bei Reliquien und Wundern sachlich und differenziert, Wallfahrtsseelsorger nutzen die fundierte Dokumentation zur seriösen Beantwortung von Pilgerfragen vor Ort. ## Kategorie 7: KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "overview": "entwickle ein Dokumentationsarchiv zu Reliquien und anerkannten Wundern",
            "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
            "category_number": 6,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Geschichtsinteressierte erschließen sich die kirchliche Prüfpraxis bei Reliquien und Wundern sachlich und differenziert, Wallfahrtsseelsorger nutzen die fundierte Dokumentation zur seriösen Beantwortung von Pilgerfragen vor Ort. ## Kategorie 7: KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-361",
            "title": "erstelle ein Studientool zum Katechismus der Katholischen Kirche nach den vier Säulen",
            "prompt_number": 361,
            "prompt": "erstelle ein Studientool zum Katechismus der Katholischen Kirche nach den vier Säulen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Gliederung nach den vier Säulen Glaubensbekenntnis/Sakramente/Leben-in-Christus/Gebet mit Randnummern-Navigation, interaktives Inhaltsverzeichnis mit Sprungmarken zu jedem Abschnitt, Zusammenfassung-am-Kapitelende jeweils als kompakte Lernkarte, Querverweis-System zwischen thematisch verwandten Randnummern, persönlicher Lesefortschritt durch den gesamten Katechismus (ApexCharts Kalender-Heatmap), Quiz-Modus nach jedem Kapitel zur Selbstüberprüfung, Glossar-Popover für Fachbegriffe bei Hover, Suchfunktion Volltext mit Ergebnis-Hervorhebung, Randnummern-Lesezeichen für laufende Studienprojekte, Gruppen-Lesevergleich-Mockup für Katechismus-Kreise, Export eigener Notizen pro Abschnitt als PDF, GSAP Kapitel-Übergangs-Animationen - USE CASE: Erwachsene in der Glaubensbildung erarbeiten sich den Katechismus strukturiert statt unsystematisch zu blättern, Katechismus-Kreise in Pfarreien verfolgen gemeinsam den Lesefortschritt durch das gesamte Werk über mehrere Monate.",
            "overview": "erstelle ein Studientool zum Katechismus der Katholischen Kirche nach den vier Säulen",
            "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Erwachsene in der Glaubensbildung erarbeiten sich den Katechismus strukturiert statt unsystematisch zu blättern, Katechismus-Kreise in Pfarreien verfolgen gemeinsam den Lesefortschritt durch das gesamte Werk über mehrere Monate.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-362",
            "title": "entwickle ein scholastisches Summa-Glossar zu zentralen Begriffen der Theologie",
            "prompt_number": 362,
            "prompt": "entwickle ein scholastisches Summa-Glossar zu zentralen Begriffen der Theologie - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Glossar scholastischer Fachbegriffe Substanz/Akzidenz/Transsubstantiation/Analogia-Entis mit verständlicher Erklärung, Struktur-Nachbildung der Summa Theologiae Frage-Einwand-Sed-Contra-Antwort als Lernschema, thematische Verknüpfung zu den fünf Gottesbeweisen des Thomas von Aquin mit Kurzerläuterung jedes Weges, Vergleich scholastischer Begriffe mit heutigem Sprachgebrauch zur besseren Verständlichkeit, Quellenangaben zu den jeweiligen Quästionen der Summa, historische Einordnung der Scholastik im 13. Jahrhundert und ihres Verhältnisses zur aristotelischen Philosophie, Übungsaufgaben Begriff der passenden Definition zuordnen, Suchfunktion über alle Begriffe, Lernkarten-Modus mit Wiederholungsalgorithmus, Verwandte-Begriffe-Netzwerk-Visualisierung (D3.js Graph), GSAP Begriffs-Karten-Animationen - USE CASE: Theologiestudierende erschließen sich die scholastische Fachterminologie systematisch vor der Lektüre der Summa Theologiae im Original, Interessierte Laien nähern sich der thomistischen Philosophie über verständlich aufbereitete Grundbegriffe an.",
            "overview": "entwickle ein scholastisches Summa-Glossar zu zentralen Begriffen der Theologie",
            "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Theologiestudierende erschließen sich die scholastische Fachterminologie systematisch vor der Lektüre der Summa Theologiae im Original, Interessierte Laien nähern sich der thomistischen Philosophie über verständlich aufbereitete Grundbegriffe an.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-363",
            "title": "programmiere einen Firmvorbereitungs-Tracker für Jugendgruppen",
            "prompt_number": 363,
            "prompt": "programmiere einen Firmvorbereitungs-Tracker für Jugendgruppen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Vorbereitungsplan über mehrere Monate mit Themenblöcken Heiliger-Geist/Firmpatron/Sieben-Gaben-des-Geistes, Anwesenheits-Tracking der Gruppentreffen, sieben-Gaben-Erklärung Weisheit/Verstand/Rat/Stärke/Erkenntnis/Frömmigkeit/Gottesfurcht mit alltagsnahen Beispielen, Firmpatron-Auswahl-Hilfe mit Kurzbiografien zur Namensfindung, Sozialprojekt-Dokumentation verpflichtender Praxisanteil vor der Firmung, Elternabend-Terminverwaltung, persönliches Glaubens-Tagebuch während der Vorbereitungszeit, Firmspender-und-Termin-Übersicht, Fortschritts-Anzeige durch alle Vorbereitungsmodule (ApexCharts Stepper), Gruppenleiter-Materialbibliothek Vorlagen für Gruppenstunden, GSAP Modul-Freischalt-Animationen - USE CASE: Firmkatecheten koordinieren die mehrmonatige Vorbereitung mit klarer Struktur und Transparenz für Jugendliche und Eltern, Jugendliche dokumentieren die eigene Glaubensentwicklung während der Firmvorbereitung nachvollziehbar.",
            "overview": "programmiere einen Firmvorbereitungs-Tracker für Jugendgruppen",
            "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Firmkatecheten koordinieren die mehrmonatige Vorbereitung mit klarer Struktur und Transparenz für Jugendliche und Eltern, Jugendliche dokumentieren die eigene Glaubensentwicklung während der Firmvorbereitung nachvollziehbar.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-364",
            "title": "baue ein Erstkommunion-Vorbereitungs-Tool für Kinder und Katecheten",
            "prompt_number": 364,
            "prompt": "baue ein Erstkommunion-Vorbereitungs-Tool für Kinder und Katecheten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kindgerechter Lernpfad zur Eucharistie mit Bildern und einfacher Sprache, Themenblöcke Letztes-Abendmahl/Wandlung/Kommunionempfang altersgerecht erklärt, Malvorlagen-Platzhalter zu biblischen Szenen des Abendmahls, Eltern-Bereich mit Hintergrundinformationen zur Begleitung zuhause, Gruppentreffen-Kalender mit Themenübersicht, kleine Quizfragen nach jedem Themenblock mit Sternebelohnung, Erstbeichte-Vorbereitung als vorgeschalteter Themenblock kindgerecht erklärt, Fortschritts-Sticker-Sammlung durch die Vorbereitungszeit (ApexCharts Radial), Gebete-zum-Auswendiglernen kindgerecht mit Wiederholungsfunktion, Fest-Checkliste für den Tag der Erstkommunion, Erinnerungsalbum-Funktion Fotos und Erinnerungen Mockup-Platzhalter, GSAP kindgerechte verspielte Animationen - USE CASE: Katecheten gestalten die Erstkommunionvorbereitung altersgerecht und strukturiert über das gesamte Vorbereitungsjahr, Eltern begleiten die Glaubensentwicklung ihres Kindes zuhause mit den bereitgestellten Hintergrundinformationen.",
            "overview": "baue ein Erstkommunion-Vorbereitungs-Tool für Kinder und Katecheten",
            "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Katecheten gestalten die Erstkommunionvorbereitung altersgerecht und strukturiert über das gesamte Vorbereitungsjahr, Eltern begleiten die Glaubensentwicklung ihres Kindes zuhause mit den bereitgestellten Hintergrundinformationen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-365",
            "title": "erstelle ein RCIA-Vorbereitungs-Tracker für die Erwachsenentaufe",
            "prompt_number": 365,
            "prompt": "erstelle ein RCIA-Vorbereitungs-Tracker für die Erwachsenentaufe - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Abbildung der vier RCIA-Phasen Anfrage-Katechumenat-Erleuchtung-Mystagogie mit Zeitplan, Themen-Curriculum pro Phase Glaubensgrundlagen/Sakramentenlehre/Kirchenjahr, Riten-Kalender Aufnahme-in-den-Katechumenat/Wahl-Rite/Skrutinien/Taufe-in-der-Osternacht, Paten-Kontakt-Verwaltung pro Taufbewerber, persönliches Glaubens-Tagebuch während der gesamten Vorbereitungszeit, Fortschritts-Dashboard pro Teilnehmer für die begleitenden Katecheten (ApexCharts Stepper), Fragen-Sammlung für Rückfragen an Priester oder Katecheten, Mystagogie-Nachbereitung-Modul für die Zeit nach der Taufe, Gruppentreffen-Terminverwaltung, Zertifikat-Vorbereitung für die Feier der Sakramente, GSAP Phasen-Fortschritts-Animationen - USE CASE: Pfarreien mit RCIA-Programm koordinieren die mehrmonatige Erwachsenenkatechese strukturiert für mehrere Taufbewerber gleichzeitig, Katecheten dokumentieren den individuellen geistlichen Fortschritt jedes Teilnehmers nachvollziehbar.",
            "overview": "erstelle ein RCIA-Vorbereitungs-Tracker für die Erwachsenentaufe",
            "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien mit RCIA-Programm koordinieren die mehrmonatige Erwachsenenkatechese strukturiert für mehrere Taufbewerber gleichzeitig, Katecheten dokumentieren den individuellen geistlichen Fortschritt jedes Teilnehmers nachvollziehbar.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-366",
            "title": "entwickle eine Apologetik-Argumente-Bibliothek nach Themenfeldern",
            "prompt_number": 366,
            "prompt": "entwickle eine Apologetik-Argumente-Bibliothek nach Themenfeldern - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierte Argument-Sammlung zu häufigen Einwänden gegen den katholischen Glauben nach Themenfeldern Gottesbeweise/Bibel-und-Wissenschaft/Kirchengeschichte-Kritik/Sakramentenlehre, jeweils Einwand-Gegenargument-Quellenangabe-Format konsequent durchgehalten, historische Herkunft des jeweiligen Einwands zur Einordnung, Schwierigkeitsgrad-Kennzeichnung Alltagsgespräch versus akademische Diskussion, Verwandte-Argumente-Verknüpfung thematisch zusammenhängender Einwände, Zitat-Sammlung anerkannter Apologeten mit Quellenangabe, Suchfunktion über alle Argumente, persönliche Merkliste häufig gebrauchter Argumentationslinien, respektvoller-Ton-Leitfaden wie Einwände ohne Herabsetzung des Gegenübers beantwortet werden, Übungsmodus eigene Antwort formulieren vor Anzeige der Musterantwort, GSAP Argument-Karten-Animationen - USE CASE: Ehrenamtliche in der Glaubensvermittlung bereiten sich mit einer strukturierten Argumentbibliothek auf kritische Nachfragen vor, Religionslehrer nutzen die Sammlung zur Vorbereitung von Diskussionseinheiten im Oberstufenunterricht.",
            "overview": "entwickle eine Apologetik-Argumente-Bibliothek nach Themenfeldern",
            "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Ehrenamtliche in der Glaubensvermittlung bereiten sich mit einer strukturierten Argumentbibliothek auf kritische Nachfragen vor, Religionslehrer nutzen die Sammlung zur Vorbereitung von Diskussionseinheiten im Oberstufenunterricht.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-367",
            "title": "programmiere ein Moraltheologie-Fallstudien-Tool für Studiengruppen",
            "prompt_number": 367,
            "prompt": "programmiere ein Moraltheologie-Fallstudien-Tool für Studiengruppen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fallbeispiel-Bibliothek zu klassischen moraltheologischen Fragestellungen nach Themenfeldern Gewissensfreiheit/Soziallehre/Bioethik strukturiert, geführte Analyse-Methode nach den Prinzipien der katholischen Moraltheologie objektive-Handlung/subjektive-Umstände/Absicht, Diskussionsfragen pro Fallbeispiel für Gruppenarbeit, Verweis auf einschlägige Katechismus-Abschnitte und lehramtliche Dokumente zu jedem Fall, unterschiedliche-Positionen-innerhalb-der-Moraltheologie transparent dargestellt wo legitime Auslegungsspielräume bestehen, eigene Stellungnahme-Formular vor Anzeige der kirchlichen Position, Fortschritts-Tracking bearbeiteter Fallstudien, Export der Gruppendiskussion als Protokoll, Schwierigkeitsgrad-Filter nach Studiensemester, Quellenverzeichnis pro Fallstudie, GSAP Fallstudien-Karten-Animationen - USE CASE: Theologiestudierende üben die methodische Anwendung moraltheologischer Prinzipien an konkreten Fallbeispielen, Firm- und Ehevorbereitungsgruppen diskutieren ethische Grundfragen strukturiert anhand alltagsnaher Fälle.",
            "overview": "programmiere ein Moraltheologie-Fallstudien-Tool für Studiengruppen",
            "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Theologiestudierende üben die methodische Anwendung moraltheologischer Prinzipien an konkreten Fallbeispielen, Firm- und Ehevorbereitungsgruppen diskutieren ethische Grundfragen strukturiert anhand alltagsnaher Fälle.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-368",
            "title": "baue ein interaktives Erklärtool zur Sakramentenlehre",
            "prompt_number": 368,
            "prompt": "baue ein interaktives Erklärtool zur Sakramentenlehre - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle sieben Sakramente mit verständlicher Erklärung von Materie/Form/Wirkung nach katholischer Sakramententheologie, Einteilung nach Initiationssakramenten/Heilungssakramenten/Dienstsakramenten strukturiert dargestellt, Ex-opere-operato-Prinzip verständlich erklärt für interessierte Laien, Wiederholbarkeit-versus-Einmaligkeit-Erklärung mit dem theologischen Konzept des Charakter Sacramentalis, Vergleichstabelle der sieben Sakramente nach Wirkung und Spendevoraussetzung, historische Entwicklung der Siebenzahl der Sakramente bis zum Konzil von Trient, Quiz-Modus zur Selbstüberprüfung des Verständnisses, Glossar sakramententheologischer Fachbegriffe, Verweis auf passende Katechismus-Randnummern, persönliches Lerntagebuch, GSAP Sakraments-Karten-Animationen - USE CASE: Firmlinge und Taufbewerber verstehen die theologische Struktur der Sakramente über das reine Auswendiglernen hinaus, Katecheten nutzen das Tool zur verständlichen Erklärung komplexer sakramententheologischer Konzepte im Unterricht.",
            "overview": "baue ein interaktives Erklärtool zur Sakramentenlehre",
            "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Firmlinge und Taufbewerber verstehen die theologische Struktur der Sakramente über das reine Auswendiglernen hinaus, Katecheten nutzen das Tool zur verständlichen Erklärung komplexer sakramententheologischer Konzepte im Unterricht.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-369",
            "title": "erstelle einen Vokabeltrainer für Kirchenlatein",
            "prompt_number": 369,
            "prompt": "erstelle einen Vokabeltrainer für Kirchenlatein - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabel-Sammlung zentraler liturgischer und theologischer lateinischer Begriffe mit deutscher Übersetzung, Kategorisierung nach Messordnung/Sakramente/Gebete/Kirchenrecht, Spaced-Repetition-Algorithmus für nachhaltiges Lernen, Aussprache-Hinweis nach kirchlicher Latein-Aussprache-Tradition, ganze-Gebetstexte-Übungsmodus Vaterunser und Ave Maria im lateinischen Original mit Wort-für-Wort-Übersetzung, Deklinations-und-Konjugations-Übungen anhand liturgischer Beispielsätze, Fortschritts-Tracking gelernter Vokabeln (ApexCharts Kalender-Heatmap), Karteikarten-Modus mit Umdreh-Animation, Quiz-Modus mit Multiple-Choice und Freitext, Zertifikat bei abgeschlossenem Grundwortschatz, historische Einordnung warum Latein bis heute liturgische Bedeutung hat, GSAP Karten-Flip-Animationen - USE CASE: Ministranten und Kirchenmusiker lernen die lateinischen Grundbegriffe der Liturgie systematisch, Studierende der katholischen Theologie bereiten sich mit dem liturgischen Grundwortschatz auf das Latinum vor.",
            "overview": "erstelle einen Vokabeltrainer für Kirchenlatein",
            "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Ministranten und Kirchenmusiker lernen die lateinischen Grundbegriffe der Liturgie systematisch, Studierende der katholischen Theologie bereiten sich mit dem liturgischen Grundwortschatz auf das Latinum vor.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-370",
            "title": "entwickle einen Tugendlehre-Tracker für die täglichen Kardinal- und theologischen Tugenden",
            "prompt_number": 370,
            "prompt": "entwickle einen Tugendlehre-Tracker für die täglichen Kardinal- und theologischen Tugenden - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Die vier Kardinaltugenden Klugheit/Gerechtigkeit/Tapferkeit/Mäßigung und die drei theologischen Tugenden Glaube/Hoffnung/Liebe mit verständlicher Erklärung nach klassischer Tugendlehre, tägliche Selbstreflexion welche Tugend heute besonders gefordert war, Wochenrückblick Tugend-Praxis-Diagramm (ApexCharts Radar), thematische Vertiefung pro Tugend mit Bibelstellen-Bezug und Aussagen der Kirchenväter, Gegensatz-Laster-Erklärung zu jeder Tugend nach den Hauptsünden, Vorbild-Heilige pro Tugend als Fürsprecher-Vorschlag, persönliches Wachstums-Tagebuch über mehrere Monate, Erinnerungs-Funktion zur abendlichen Reflexion, Zitat-Rotation klassischer Tugendlehre-Texte von Aristoteles bis Thomas von Aquin, Vergleichsansicht eigene Entwicklung über Zeit, GSAP Tugend-Fortschritts-Animationen - USE CASE: Gläubige arbeiten strukturiert an der eigenen charakterlichen und geistlichen Reifung nach klassischer Tugendlehre, Exerzitienbegleiter nutzen den Tracker als Vorlage für die Reflexionsarbeit während einer Einkehrzeit. ## Kategorie 8: PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "overview": "entwickle einen Tugendlehre-Tracker für die täglichen Kardinal- und theologischen Tugenden",
            "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige arbeiten strukturiert an der eigenen charakterlichen und geistlichen Reifung nach klassischer Tugendlehre, Exerzitienbegleiter nutzen den Tracker als Vorlage für die Reflexionsarbeit während einer Einkehrzeit. ## Kategorie 8: PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-371",
            "title": "erstelle einen Jakobsweg-Planer für die 3500 Kilometer nach Santiago",
            "prompt_number": 371,
            "prompt": "erstelle einen Jakobsweg-Planer für die 3500 Kilometer nach Santiago - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Routenkarte mit den wichtigsten Jakobsweg-Varianten Camino-Francés/Camino-Portugués/Camino-del-Norte, Etappen-Planer mit Tagesstrecken und Höhenprofil (D3.js), Herbergsverzeichnis-Mockup entlang der Route mit Kapazitätsangabe, Tagesziel-Tracking mit tatsächlich zurückgelegter Distanz, Ausrüstungs-Checkliste speziell für Mehrwochen-Fußpilgerschaft, Pilgerpass-Digital-Ergänzung zur physischen Credencial, Budget-Rechner für Herbergen und Verpflegung über die gesamte Strecke, Etappen-Tagebuch mit Foto-Platzhalter und Reflexionsnotiz, spirituelle-Impulse-pro-Etappe passend zur zurückgelegten Kirche oder Kapelle, Notfallkontakte-und-Gesundheitsinfo-Sektion, Wettervorhersage-Platzhalter für die kommenden Etappen, GSAP Routenfortschritts-Animationen - USE CASE: Pilger planen eine mehrwöchige Fußwallfahrt von mehreren tausend Kilometern strukturiert und realistisch, Pilgerbegleiter und Pfarrgruppen koordinieren gemeinsame Camino-Reisen mit einheitlicher Etappenplanung.",
            "overview": "erstelle einen Jakobsweg-Planer für die 3500 Kilometer nach Santiago",
            "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "category_number": 8,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pilger planen eine mehrwöchige Fußwallfahrt von mehreren tausend Kilometern strukturiert und realistisch, Pilgerbegleiter und Pfarrgruppen koordinieren gemeinsame Camino-Reisen mit einheitlicher Etappenplanung.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-372",
            "title": "entwickle eine interaktive Karte bedeutender Wallfahrtsorte weltweit",
            "prompt_number": 372,
            "prompt": "entwickle eine interaktive Karte bedeutender Wallfahrtsorte weltweit - HTML - TECH: Materialize+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Leaflet-Weltkarte mit den bedeutendsten Marien- und Heiligenwallfahrtsorten Lourdes/Fatima/Guadalupe/Altötting/Loreto, Filterfunktion nach Marienerscheinungsort/Reliquienort/Apostelgrab, Detailinfo pro Ort Gründungsgeschichte/kirchliche Anerkennung/jährliche Pilgerzahl, Routenplanungs-Funktion mehrere Wallfahrtsorte einer Reise verbinden, persönliche Besuchsliste bereits besuchter und geplanter Orte, Ablasshinweise soweit kirchlich verbunden mit dem jeweiligen Ort, Fest-und-Wallfahrtssaison-Kalender pro Ort, Anreise-Hinweise-Mockup nächstgelegener Flughafen oder Bahnhof, Gebetsanliegen-Verknüpfung eigene Anliegen einem geplanten Wallfahrtsort zuordnen, Bildergalerie-Platzhalter pro Wallfahrtsort, Community-Erfahrungsberichte-Mockup anderer Pilger, GSAP Kartenmarker-Animationen - USE CASE: Pilger planen internationale Wallfahrtsreisen mit fundiertem Vorwissen zu den jeweiligen Orten, Reiseveranstalter kirchlicher Gruppenreisen nutzen die Karte zur übersichtlichen Routengestaltung mehrerer Wallfahrtsziele.",
            "overview": "entwickle eine interaktive Karte bedeutender Wallfahrtsorte weltweit",
            "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "category_number": 8,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pilger planen internationale Wallfahrtsreisen mit fundiertem Vorwissen zu den jeweiligen Orten, Reiseveranstalter kirchlicher Gruppenreisen nutzen die Karte zur übersichtlichen Routengestaltung mehrerer Wallfahrtsziele.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-373",
            "title": "programmiere ein Verzeichnis bedeutender Reliquien und Schreine",
            "prompt_number": 373,
            "prompt": "programmiere ein Verzeichnis bedeutender Reliquien und Schreine - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbare Datenbank bedeutender Reliquienschreine mit Aufbewahrungsort und zugehörigem Heiligen, Kategorisierung nach Reliquientyp Körperreliquie/Berührungsreliquie/Kreuzreliquie, historische Translations-Geschichte wie die Reliquie an ihren heutigen Ort gelangte, Öffnungszeiten-und-Zugänglichkeits-Hinweis-Mockup für Pilger, Wallfahrts-Etikette-Erklärung angemessenes Verhalten am Schrein, Verknüpfung zum zugehörigen Heiligen-Profil mit Lebensgeschichte, Fest-und-Verehrungstage-Kalender pro Reliquie, Kartenverweis geografische Lage des Schreins, persönliche Besuchsliste mit Notizfeld, Ähnliche-Schreine-Empfehlung gleicher Heiliger oder Region, Export Reiseliste geplanter Schrein-Besuche, GSAP Schrein-Detail-Animationen - USE CASE: Pilger recherchieren vor einer Reise gezielt erreichbare Reliquienschreine entlang der geplanten Route, Wallfahrtsseelsorger bereiten Gruppenreisen mit fundiertem Hintergrundwissen zu den besuchten Schreinen vor.",
            "overview": "programmiere ein Verzeichnis bedeutender Reliquien und Schreine",
            "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "category_number": 8,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pilger recherchieren vor einer Reise gezielt erreichbare Reliquienschreine entlang der geplanten Route, Wallfahrtsseelsorger bereiten Gruppenreisen mit fundiertem Hintergrundwissen zu den besuchten Schreinen vor.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-374",
            "title": "baue einen Budget-Planer für mehrwöchige Pilgerreisen",
            "prompt_number": 374,
            "prompt": "baue einen Budget-Planer für mehrwöchige Pilgerreisen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kostenkategorien-Planer Herberge/Verpflegung/Ausrüstung/Reisekosten mit Tagesbudget-Vorschlag, Vergleich unterschiedlicher Pilgerwege nach durchschnittlichen Tageskosten Jakobsweg versus Via-Francigena versus Heiliges-Land-Reise, Ausgaben-Tracking während der Reise mit Kategorien-Aufteilung (ApexCharts Donut), Sparziel-Rechner Wochen bis zur benötigten Reisesumme, Notfallreserve-Empfehlung als Prozentsatz des Gesamtbudgets, Währungsumrechner für internationale Pilgerreisen, Herbergstyp-Kostenvergleich Pilgerherberge versus Pension versus Kloster-Gästehaus, Fundraising-Sektion für Pilger die um Unterstützung ihrer Gemeinde bitten, Budget-Historie vergangener Pilgerreisen, Export Budgetplan als PDF, Gruppen-Kostenteilung-Rechner für gemeinsame Wallfahrten, GSAP Budget-Balken-Animationen - USE CASE: Pilger planen mehrwöchige Fußwallfahrten finanziell realistisch ohne böse Überraschungen unterwegs, Pfarreien mit Fundraising-Aktion für Jugendwallfahrten kalkulieren den tatsächlichen Bedarf transparent.",
            "overview": "baue einen Budget-Planer für mehrwöchige Pilgerreisen",
            "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "category_number": 8,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pilger planen mehrwöchige Fußwallfahrten finanziell realistisch ohne böse Überraschungen unterwegs, Pfarreien mit Fundraising-Aktion für Jugendwallfahrten kalkulieren den tatsächlichen Bedarf transparent.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-375",
            "title": "erstelle eine Packlisten-App speziell für Fußwallfahrten",
            "prompt_number": 375,
            "prompt": "erstelle eine Packlisten-App speziell für Fußwallfahrten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Spezialisierte Packlisten-Vorlagen nach Jahreszeit und Streckenlänge kurz-Wochenend-Wallfahrt versus mehrwöchiger Camino, Gewichts-Tracker pro Gepäckstück mit Gesamtgewichts-Warnung bei Überschreitung des empfohlenen Rucksackgewichts, Kategorien-Checkliste Kleidung/Fußpflege/Erste-Hilfe/geistliche-Ausrüstung, spirituelle-Reiseausrüstung-Sektion Taschenbibel/Rosenkranz/Pilgergebetbuch als eigene Kategorie, Wetterabhängige-Anpassungsvorschläge je nach Reisezeit, Erfahrungsberichte-Integration-Mockup was erfahrene Pilger tatsächlich mitnehmen würden, Mehrfachnutzungs-Prinzip-Tipps um Gepäck zu minimieren, persönliche Packliste speicherbar und für Folgereisen wiederverwendbar, Abhak-Funktion während des tatsächlichen Packens, Reisegruppen-Vergleich gemeinsame versus individuelle Ausrüstung, Vergessene-Gegenstände-Historie aus früheren Reisen lernen, GSAP Checklisten-Abhak-Animationen - USE CASE: Erstpilger vermeiden durch die geprüfte Packliste typische Anfängerfehler wie zu schweres Gepäck, erfahrene Pilger optimieren ihre Ausrüstung anhand der gesammelten Erfahrungswerte für die nächste Wallfahrt.",
            "overview": "erstelle eine Packlisten-App speziell für Fußwallfahrten",
            "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "category_number": 8,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Erstpilger vermeiden durch die geprüfte Packliste typische Anfängerfehler wie zu schweres Gepäck, erfahrene Pilger optimieren ihre Ausrüstung anhand der gesammelten Erfahrungswerte für die nächste Wallfahrt.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-376",
            "title": "entwickle ein Koordinationstool für Gruppenwallfahrten",
            "prompt_number": 376,
            "prompt": "entwickle ein Koordinationstool für Gruppenwallfahrten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Teilnehmerverwaltung mit Kontaktdaten und Notfallkontakten für die gesamte Pilgergruppe, gemeinsamer Reiseplan mit Etappen und Übernachtungsorten für alle sichtbar, Aufgabenverteilung Vorbeter/Kassenwart/Erste-Hilfe-Verantwortlicher innerhalb der Gruppe, Kommunikations-Ankündigungs-Bereich für kurzfristige Planänderungen, gemeinsame-Andachtszeiten-Planung Morgengebet und Abendsegen der Gruppe, Kostenteilungs-Rechner für gemeinsam gebuchte Unterkünfte, Teilnehmer-Gesundheitsinformationen vertraulich mit Zugriff nur für Verantwortliche, Foto-Tagebuch-Sammlung der ganzen Gruppe, Feedback-Sammlung nach der Reise für zukünftige Wallfahrten, Notfallplan-Dokumentation bei medizinischen Zwischenfällen, An-und-Abreise-Koordination bei individueller Anreise zum Startpunkt, GSAP Gruppen-Übersichts-Animationen - USE CASE: Pfarreien organisieren größere Gruppenwallfahrten mit vielen Teilnehmern übersichtlich und sicher, Wallfahrtsleiter behalten während der Reise den Überblick über alle organisatorischen Aspekte der Gruppe.",
            "overview": "entwickle ein Koordinationstool für Gruppenwallfahrten",
            "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "category_number": 8,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien organisieren größere Gruppenwallfahrten mit vielen Teilnehmern übersichtlich und sicher, Wallfahrtsleiter behalten während der Reise den Überblick über alle organisatorischen Aspekte der Gruppe.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-377",
            "title": "programmiere einen Basiliken-Tracker für die Rom-Pilgerfahrt",
            "prompt_number": 377,
            "prompt": "programmiere einen Basiliken-Tracker für die Rom-Pilgerfahrt - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Die vier päpstlichen Basiliken Sankt-Peter/Sankt-Paul-vor-den-Mauern/Sankt-Johannes-im-Lateran/Santa-Maria-Maggiore mit historischem Hintergrund, Heilige-Pforte-Erklärung und Jubeljahr-Tradition mit Ablasshinweisen, Besuchs-Tracking welche Basiliken bereits besucht mit Datum, weitere-bedeutende-Kirchen-Roms-Ergänzungsliste Santa-Maria-in-Trastevere und weitere, Katakomben-und-Reliquien-Verweis pro Basilika, Öffnungszeiten-und-Messzeiten-Hinweis-Mockup, historische-Baugeschichte-Zeitleiste pro Basilika von der Konstantinischen Gründung bis zum heutigen Bau, Ablauf-Erklärung für den Durchschreiten der Heiligen Pforte, persönliches Rom-Pilgertagebuch, Routenvorschlag zu Fuß zwischen den vier Basiliken, Gebetsanliegen-Notizfeld pro besuchter Basilika, GSAP Basiliken-Detail-Animationen - USE CASE: Rom-Pilger insbesondere in einem Heiligen Jahr verschaffen sich einen strukturierten Überblick über die vier päpstlichen Basiliken, Wallfahrtsgruppen planen den Basiliken-Rundgang mit fundiertem historischem und spirituellem Hintergrundwissen.",
            "overview": "programmiere einen Basiliken-Tracker für die Rom-Pilgerfahrt",
            "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "category_number": 8,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Rom-Pilger insbesondere in einem Heiligen Jahr verschaffen sich einen strukturierten Überblick über die vier päpstlichen Basiliken, Wallfahrtsgruppen planen den Basiliken-Rundgang mit fundiertem historischem und spirituellem Hintergrundwissen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-378",
            "title": "baue ein Reisetagebuch für Fatima- und Lourdes-Pilgerreisen",
            "prompt_number": 378,
            "prompt": "baue ein Reisetagebuch für Fatima- und Lourdes-Pilgerreisen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Getrennte Sektionen für beide Wallfahrtsorte mit jeweiliger Erscheinungsgeschichte 1917 in Fatima und 1858 in Lourdes, Tagesablauf-Vorlage für typische Pilgerprogramme Kerzenprozession-in-Fatima und Lourdes-Wasserbad-und-Grotte, persönliches Reisetagebuch mit Foto-Platzhalter pro Tag, Gebetsanliegen-Mitbring-Funktion Anliegen von zuhause mit an den Wallfahrtsort nehmen, historische-Seherkinder-Biografien Lucia-Francisco-Jacinta beziehungsweise Bernadette Soubirous, Reflexions-Impulse zur jeweiligen Botschaft der Erscheinungen im kirchlich anerkannten Rahmen, praktische-Hinweise Anreise/Unterkunft/Andachtszeiten-Mockup, Gebetstext-Sammlung Fatima-Gebet und Lourdes-Wallfahrtslied, Souvenir-und-Andenken-Checkliste für zuhause Gebliebene, Rückkehr-Reflexions-Seite geistliche Frucht der Reise festhalten, Export Reisetagebuch als PDF-Andenken, GSAP Tagebuch-Seiten-Animationen - USE CASE: Pilger nach Fatima oder Lourdes dokumentieren ihre spirituelle Reiseerfahrung strukturiert und respektvoll, Wallfahrtsgruppen bereiten sich mit fundiertem Wissen zur jeweiligen Erscheinungsgeschichte auf den Besuch vor.",
            "overview": "baue ein Reisetagebuch für Fatima- und Lourdes-Pilgerreisen",
            "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "category_number": 8,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pilger nach Fatima oder Lourdes dokumentieren ihre spirituelle Reiseerfahrung strukturiert und respektvoll, Wallfahrtsgruppen bereiten sich mit fundiertem Wissen zur jeweiligen Erscheinungsgeschichte auf den Besuch vor.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-379",
            "title": "erstelle einen Reiseplaner für das Heilige Land",
            "prompt_number": 379,
            "prompt": "erstelle einen Reiseplaner für das Heilige Land - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Karte der wichtigsten heiligen Stätten Bethlehem/Nazareth/Jerusalem/See-Genezareth mit biblischem Bezug pro Ort, Via-Dolorosa-Routenplan mit allen 14 Stationen des Kreuzwegs in Jerusalem, Tagesetappen-Vorschlag für eine typische zehn- bis vierzehntägige Reise, biblische-Textstelle-Verknüpfung pro besuchtem Ort direkt aus dem Neuen Testament, historisch-und-heutige-Situation-Erklärung politische Lage sensibel und sachlich dargestellt, interreligiöse-Bedeutung-Hinweis viele Orte sind auch für Judentum und Islam heilig mit respektvoller Erwähnung, Sicherheitshinweise-Mockup aktuelle Reisehinweise, geistliches-Reisetagebuch mit Reflexionsraum pro Station, Gruppenreise-versus-Individualreise-Planungshilfe, Budget-Grobkalkulation für die Region, Andenken-und-Souvenir-Checkliste, GSAP Routenverlauf-Animationen - USE CASE: Pilger ins Heilige Land bereiten eine biblisch fundierte Reiseroute mit direktem Textbezug zu jedem Ort vor, Reiseveranstalter kirchlicher Gruppen strukturieren komplexe mehrtägige Programme mit vielen heiligen Stätten übersichtlich.",
            "overview": "erstelle einen Reiseplaner für das Heilige Land",
            "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "category_number": 8,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pilger ins Heilige Land bereiten eine biblisch fundierte Reiseroute mit direktem Textbezug zu jedem Ort vor, Reiseveranstalter kirchlicher Gruppen strukturieren komplexe mehrtägige Programme mit vielen heiligen Stätten übersichtlich.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-380",
            "title": "entwickle einen digitalen Pilgerpass mit Stempel-Tracker",
            "prompt_number": 380,
            "prompt": "entwickle einen digitalen Pilgerpass mit Stempel-Tracker - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitale Ergänzung zur physischen Credencial mit Ort-und-Datum-Eintrag pro Etappenstempel, Fortschritts-Visualisierung zurückgelegte Kilometer bis Santiago oder zum jeweiligen Zielort (ApexCharts Radial), Mindestdistanz-Tracker zur Erlangung der Compostela-Urkunde 100 Kilometer zu Fuß oder 200 mit dem Fahrrad, Etappen-Historie mit Notizfeld pro Tagesstrecke, Foto-Anhang-Mockup pro Stempel als visuelles Erinnerungsstück, Herbergs-Bewertungs-Funktion für spätere Pilger als Empfehlung, Mehrfach-Pilgerreisen-Verwaltung getrennte Pässe für unterschiedliche Wege im Zeitverlauf, Gemeinschafts-Statistik-Mockup wie viele Pilger denselben Abschnitt gegangen sind, Exportfunktion des digitalen Passes als Andenken-PDF, Motivations-Meilenstein-Benachrichtigung bei erreichten Etappenzielen, Sprachumschaltung für internationale Nutzung, GSAP Stempel-Einschlag-Animationen - USE CASE: Jakobsweg-Pilger dokumentieren ihre Etappen zusätzlich zur physischen Credencial digital und übersichtlich, Wallfahrtsorganisationen nutzen das Konzept als Vorlage für digitale Nachweise bei anderen anerkannten Pilgerwegen. ## Kategorie 9: KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "overview": "entwickle einen digitalen Pilgerpass mit Stempel-Tracker",
            "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
            "category_number": 8,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Jakobsweg-Pilger dokumentieren ihre Etappen zusätzlich zur physischen Credencial digital und übersichtlich, Wallfahrtsorganisationen nutzen das Konzept als Vorlage für digitale Nachweise bei anderen anerkannten Pilgerwegen. ## Kategorie 9: KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-381",
            "title": "erstelle ein digitales Gesangbuch mit liedbezogener Suchfunktion",
            "prompt_number": 381,
            "prompt": "erstelle ein digitales Gesangbuch mit liedbezogener Suchfunktion - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Liederdatenbank nach dem Vorbild des Gotteslob mit Liednummer/Text/Strophenzahl, Suchfunktion nach Titel/Anfangszeile/liturgischem-Anlass, Kategorisierung Advent/Weihnachten/Fastenzeit/Ostern/Marienlieder/Kommunionlieder, Textanzeige mit Strophenweise-Scroll-Synchronisation, Noten-Platzhalter-Anzeige zur jeweiligen Melodie, Tonart-und-Vierstimmigkeits-Hinweis für Chor- und Orgelgebrauch, persönliche Liedmerkliste für kommende Gottesdienste, Liedvorschlags-Funktion passend zur liturgischen Lesung des Sonntags, Strophen-Auswahl-Funktion bei zu kürzenden Liedern für den Gottesdienst, Kirchenlieder-Geschichte-Kurzinfo zu bekannten Liedern und deren Entstehung, Offline-Verfügbarkeit für Kirchenräume ohne Netz, GSAP Strophen-Scroll-Animationen - USE CASE: Kirchenmusiker und Organisten wählen passende Lieder schnell und liturgisch korrekt zugeordnet aus, Gemeinden nutzen die digitale Version als Ergänzung zum gedruckten Gesangbuch bei größeren Veranstaltungen.",
            "overview": "erstelle ein digitales Gesangbuch mit liedbezogener Suchfunktion",
            "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "category_number": 9,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Kirchenmusiker und Organisten wählen passende Lieder schnell und liturgisch korrekt zugeordnet aus, Gemeinden nutzen die digitale Version als Ergänzung zum gedruckten Gesangbuch bei größeren Veranstaltungen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-382",
            "title": "entwickle eine App für die täglichen Messlesungen mit Kommentar",
            "prompt_number": 382,
            "prompt": "entwickle eine App für die täglichen Messlesungen mit Kommentar - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Tagesaktuelle erste-Lesung/Antwortpsalm/zweite-Lesung/Evangelium nach korrektem Lesejahr und Wochentagslesejahr, kurzer geistlicher Impuls pro Tag zu den Lesungen, Antwortpsalm-mit-Kehrvers zur Mitfeier vorbereitet, Vorlese-Übungsmodus für Lektoren mit Betonungshinweisen, wöchentliche-Vorausschau kommende Sonntagslesungen zur Predigtvorbereitung, persönliches Lese-Tagebuch mit täglicher Reflexionsnotiz, Erinnerungs-Benachrichtigung zur täglichen Schriftlesung, Archiv-Funktion vergangene Tageslesungen nachschlagen, Fest-und-Gedenktags-Sonderlesungen automatisch eingeblendet, Export der Tageslesung als druckbare Karte für den Ambo, Sprachumschaltung für mehrsprachige Gemeinden, GSAP Lesungs-Einblend-Animationen - USE CASE: Gläubige begleiten das tägliche Kirchenjahr mit den offiziellen Messlesungen auch ohne täglichen Gottesdienstbesuch, Lektoren üben den Vortrag der kommenden Lesungen mit den bereitgestellten Betonungshinweisen.",
            "overview": "entwickle eine App für die täglichen Messlesungen mit Kommentar",
            "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "category_number": 9,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige begleiten das tägliche Kirchenjahr mit den offiziellen Messlesungen auch ohne täglichen Gottesdienstbesuch, Lektoren üben den Vortrag der kommenden Lesungen mit den bereitgestellten Betonungshinweisen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-383",
            "title": "programmiere einen Chorproben-Planer für Kirchenchöre",
            "prompt_number": 383,
            "prompt": "programmiere einen Chorproben-Planer für Kirchenchöre - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Probenplan-Kalender mit Terminen und geplantem Repertoire pro Probe, Stimmgruppen-Verwaltung Sopran/Alt/Tenor/Bass mit Anwesenheitstracking, Repertoire-Bibliothek mit Schwierigkeitsgrad und liturgischem Einsatzanlass, Probeneinteilung-nach-Stimme separate Übungsabschnitte je Stimmgruppe, Auftritts-Kalender kommende Gottesdienste mit zugeordnetem Programm, Notenmaterial-Verwaltung-Mockup digitale Ablage nach Stück, Vertretungs-Anfrage-Funktion bei Verhinderung einzelner Sänger, Probenfortschritt-pro-Stück-Tracking bereit-für-Aufführung-Status (ApexCharts Radial), Neue-Mitglieder-Einarbeitungs-Checkliste, Feedback-Sammlung nach Proben zur Verbesserung, Erinnerungs-Benachrichtigung vor jeder Probe, GSAP Probenplan-Übersichts-Animationen - USE CASE: Kirchenchorleiter organisieren regelmäßige Proben mit klarer Repertoire-Zuordnung zu kommenden Gottesdiensten, Chormitglieder behalten den Überblick über Probentermine und den eigenen Einstudierungsstand.",
            "overview": "programmiere einen Chorproben-Planer für Kirchenchöre",
            "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "category_number": 9,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Kirchenchorleiter organisieren regelmäßige Proben mit klarer Repertoire-Zuordnung zu kommenden Gottesdiensten, Chormitglieder behalten den Überblick über Probentermine und den eigenen Einstudierungsstand.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-384",
            "title": "baue ein Lerntool für gregorianischen Choral mit Neumenkunde",
            "prompt_number": 384,
            "prompt": "baue ein Lerntool für gregorianischen Choral mit Neumenkunde - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Einführung in die Neumenschrift mit Erklärung der wichtigsten Zeichen Punctum/Virga/Podatus/Clivis, interaktive Übungen Neumen einer bekannten Melodie zuordnen, Kirchentonarten-Erklärung die acht Modi mit hörbarem Beispiel-Mockup, bekannte-Gesänge-Bibliothek Kyrie/Gloria/Sanctus/Agnus-Dei in verschiedenen gregorianischen Vertonungen, historische Einführung Ursprung im benediktinischen Mönchtum und die Reform durch Solesmes, Rhythmus-Prinzipien-Erklärung nach der klassischen Choral-Ictus-Lehre, Übungsmodus Melodieverlauf nach Neumen mitsingen mit Metronom-Mockup, Fortschritts-Tracking gelernter Gesänge (ApexCharts Radial), Vergleich gregorianischer versus mehrstimmiger Vertonung desselben Textes, Glossar choralspezifischer Fachbegriffe, GSAP Neumen-Einblend-Animationen - USE CASE: Kirchenmusiker und Scholae-Mitglieder erlernen die Grundlagen der Neumenschrift systematisch, Chorleiter nutzen das Tool zur Einführung neuer Sänger in die gregorianische Gesangstradition.",
            "overview": "baue ein Lerntool für gregorianischen Choral mit Neumenkunde",
            "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "category_number": 9,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Kirchenmusiker und Scholae-Mitglieder erlernen die Grundlagen der Neumenschrift systematisch, Chorleiter nutzen das Tool zur Einführung neuer Sänger in die gregorianische Gesangstradition.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-385",
            "title": "erstelle eine Feiertag-Erinnerungs-App für das komplette Kirchenjahr",
            "prompt_number": 385,
            "prompt": "erstelle eine Feiertag-Erinnerungs-App für das komplette Kirchenjahr - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiger Festkalender mit Hochfesten/Festen/gebotenen-Feiertagen automatisch aus dem Kirchenjahr abgeleitet, gestaffelte Vorab-Erinnerung eine Woche und einen Tag vor wichtigen Festen, regionale-Unterschiede-Berücksichtigung gebotene Feiertage variieren je nach Land und Diözese, Vorbereitungs-Impulse pro Fest liturgische und geistliche Hintergrundinformation, Familientraditionen-Vorschläge passend zum jeweiligen Fest, Fastentage-Kennzeichnung Aschermittwoch und Karfreitag besonders hervorgehoben, Namenstag-Integration eigene und Familien-Namenstage automatisch im Kalender, Export als iCal-kompatible Datei für persönliche Kalender-Apps, Feiertagsgeschichte-Kurzinfo zu jedem Fest, Kirchenjahr-Countdown-Widget bis zum nächsten wichtigen Fest, Mehrsprachigkeit für internationale Gemeinden, GSAP Festtags-Ankündigungs-Animationen - USE CASE: Gläubige verpassen keine wichtigen kirchlichen Feste mehr durch die gestaffelten Erinnerungen, Familien gestalten das Jahr bewusster nach dem Rhythmus des Kirchenjahres statt nur nach dem staatlichen Kalender.",
            "overview": "erstelle eine Feiertag-Erinnerungs-App für das komplette Kirchenjahr",
            "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "category_number": 9,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Gläubige verpassen keine wichtigen kirchlichen Feste mehr durch die gestaffelten Erinnerungen, Familien gestalten das Jahr bewusster nach dem Rhythmus des Kirchenjahres statt nur nach dem staatlichen Kalender.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-386",
            "title": "entwickle eine Repertoire-Verwaltung für Organisten",
            "prompt_number": 386,
            "prompt": "entwickle eine Repertoire-Verwaltung für Organisten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Orgelmusik-Datenbank nach liturgischem Anlass Präludium/Offertorium/Kommunion/Postludium kategorisiert, Komponisten-Register mit Werkverzeichnis-Nummern, Schwierigkeitsgrad-Einstufung für die eigene Übungsplanung, Registrierungs-Notizen pro Stück welche Orgelregister verwendet wurden, Einsatz-Historie wann welches Stück zuletzt gespielt wurde zur Abwechslung, liturgische-Passung-Vorschlag welches Stück zur Tageslesung oder Kirchenjahreszeit passt, Übe-Zeit-Tracking pro Stück bis zur Konzertreife, Notenmaterial-Verwaltung-Mockup digitale Ablage mit Fingersatz-Notizen, Vertretungs-Übergabe-Funktion Repertoire-Liste für einspringende Organisten, Festtags-Spezial-Repertoire für Hochfeste gesondert gekennzeichnet, Suchfunktion nach Anlass oder Komponist, GSAP Repertoire-Karten-Animationen - USE CASE: Organisten pflegen ihr Repertoire systematisch und wählen liturgisch passende Stücke ohne Wiederholung binnen kurzer Zeit, Vertretungsorganisten erhalten bei Einspringen eine fundierte Repertoire-Übersicht der Gemeinde.",
            "overview": "entwickle eine Repertoire-Verwaltung für Organisten",
            "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "category_number": 9,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Organisten pflegen ihr Repertoire systematisch und wählen liturgisch passende Stücke ohne Wiederholung binnen kurzer Zeit, Vertretungsorganisten erhalten bei Einspringen eine fundierte Repertoire-Übersicht der Gemeinde.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-387",
            "title": "programmiere eine Kirchenlieder-Datenbank mit Akkordsymbolen",
            "prompt_number": 387,
            "prompt": "programmiere eine Kirchenlieder-Datenbank mit Akkordsymbolen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Liedtext-mit-Akkordsymbolen-Anzeige für Gitarrenbegleitung bei modernen Gottesdienstformen, Transponier-Funktion Akkorde live in andere Tonart umrechnen, Kategorisierung nach Gottesdienstform klassische-Messe versus Jugendmesse versus Taizé-Andacht, Kapodaster-Empfehlung pro Lied und Sänger-Stimmlage, Strophen-und-Refrain-Struktur-Kennzeichnung, Neue-geistliche-Lieder-Sektion NGL zusätzlich zum klassischen Gesangbuch-Repertoire, persönliche Liedliste für kommende Gottesdienste zusammenstellbar, Schwierigkeitsgrad-Filter für Einsteiger-Gitarristen, Metronom-Tempo-Angabe pro Lied, Export als Liedblatt-PDF für die Band, Community-Beitrags-Mockup eigene Akkord-Sätze einreichen, GSAP Akkord-Wechsel-Hervorhebungs-Animationen - USE CASE: Bandmitglieder moderner Gottesdienstformen bereiten sich mit korrekten und transponierbaren Akkordsätzen vor, Jugendgottesdienst-Teams stellen passende Liedlisten für unterschiedliche Gottesdienstformen zusammen.",
            "overview": "programmiere eine Kirchenlieder-Datenbank mit Akkordsymbolen",
            "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "category_number": 9,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Bandmitglieder moderner Gottesdienstformen bereiten sich mit korrekten und transponierbaren Akkordsätzen vor, Jugendgottesdienst-Teams stellen passende Liedlisten für unterschiedliche Gottesdienstformen zusammen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-388",
            "title": "baue einen Adventskranz- und Kirchenjahr-Countdown",
            "prompt_number": 388,
            "prompt": "baue einen Adventskranz- und Kirchenjahr-Countdown - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Visueller Adventskranz mit vier Kerzen die entsprechend dem aktuellen Adventssonntag automatisch angezündet dargestellt werden, tägliche Adventsimpulse mit Bibelstelle und kurzer Besinnung, historische Erklärung der Adventskranz-Tradition seit Johann Hinrich Wichern, Weihnachts-Countdown mit theologischer Einordnung der Bedeutung des Wartens in der Heilsgeschichte, erweiterte-Kirchenjahr-Countdowns zu weiteren wichtigen Festen Ostern und Pfingsten, Familien-Adventskalender-Ergänzung mit geistlichen statt rein weltlichen Türchen-Inhalten, Rorate-Messen-Hinweis frühmorgendliche Adventsmessen mit Erklärung der Tradition, persönliches Adventstagebuch mit täglicher Notiz, Adventslieder-Verknüpfung passend zur Wochenimpuls, Kinderfreundlicher-Modus mit vereinfachter Sprache, GSAP Kerzenflammen-Anzünde-Animationen - USE CASE: Familien gestalten die Adventszeit bewusst als geistliche Vorbereitungszeit statt nur als Countdown zum Weihnachtsfest, Katecheten nutzen die App zur Vermittlung der Adventstradition an Kinder im Pfarreiunterricht.",
            "overview": "baue einen Adventskranz- und Kirchenjahr-Countdown",
            "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "category_number": 9,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Familien gestalten die Adventszeit bewusst als geistliche Vorbereitungszeit statt nur als Countdown zum Weihnachtsfest, Katecheten nutzen die App zur Vermittlung der Adventstradition an Kinder im Pfarreiunterricht.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-389",
            "title": "erstelle eine Sammlung liturgischer Abendgesänge zur Vesper",
            "prompt_number": 389,
            "prompt": "erstelle eine Sammlung liturgischer Abendgesänge zur Vesper - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Vesper-Gesänge mit Hymnus/Psalmen/Magnificat für jeden Wochentag nach dem Stundengebet-Psalter, Magnificat-Vertonungen-Bibliothek gregorianisch und mehrstimmig zur Auswahl, feierliche-Vesper-Modus für Hochfeste mit erweitertem Gesangsteil, Kerzenlicht-Andachts-Atmosphäre mit gedämpfter Bildschirmgestaltung, historische Einführung zur Bedeutung der Vesper im Tagesablauf klösterlicher Gemeinschaften, Gemeinschafts-Gesangs-Modus mit Vorsänger-Kennzeichnung für gemeinsame Feier, Text-und-Noten-Anzeige-Synchronisation, Kirchenjahreszeit-Anpassung der Antiphonen automatisch, persönliche Andachts-Historie regelmäßig gebetete Vespern (ApexCharts Kalender-Heatmap), Offline-Verfügbarkeit für Klosterräume und Kirchen ohne Netz, GSAP sanfte Abenddämmerungs-Animationen - USE CASE: Klostergemeinschaften und Vesper-Gruppen in Pfarreien feiern das Abendgebet mit vollständig hinterlegten Texten und Gesängen, Gläubige vertiefen die persönliche Abendandacht durch die traditionsreiche Form der Vesper.",
            "overview": "erstelle eine Sammlung liturgischer Abendgesänge zur Vesper",
            "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "category_number": 9,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Klostergemeinschaften und Vesper-Gruppen in Pfarreien feiern das Abendgebet mit vollständig hinterlegten Texten und Gesängen, Gläubige vertiefen die persönliche Abendandacht durch die traditionsreiche Form der Vesper.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-390",
            "title": "entwickle einen Kantorendienstplan mit Repertoire-Zuordnung",
            "prompt_number": 390,
            "prompt": "entwickle einen Kantorendienstplan mit Repertoire-Zuordnung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dienstplan-Kalender für Kantoren und Vorsänger über mehrere Gottesdienste hinweg, automatische Repertoire-Vorschläge passend zur jeweiligen Kirchenjahreszeit und den Tageslesungen, Verfügbarkeits-Abfrage-Funktion für eingetragene Kantoren, Vertretungs-Anfrage-Workflow bei Verhinderung mit Benachrichtigung an mögliche Vertretungen, Einsatz-Historie wer wann welches Repertoire gesungen hat zur besseren Verteilung, Übungsmaterial-Verweis pro zugewiesenem Dienst, Fairness-Statistik gleichmäßige Verteilung der Dienste über alle Kantoren (ApexCharts Balken), Sonderdienste-Kennzeichnung Hochfeste und Trauerfeiern gesondert vermerkt, Feedback-Sammlung nach jedem Dienst zur kontinuierlichen Verbesserung, Neue-Kantoren-Einarbeitungs-Checkliste, Export Dienstplan als druckbare Übersicht für die Sakristei, GSAP Dienstplan-Kalender-Animationen - USE CASE: Kirchenmusik-Verantwortliche koordinieren mehrere Kantoren über das Kirchenjahr gerecht und mit passendem Repertoire, Kantoren erhalten frühzeitig Klarheit über kommende Dienste samt vorbereitetem Übungsmaterial. ## Kategorie 10: GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "overview": "entwickle einen Kantorendienstplan mit Repertoire-Zuordnung",
            "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
            "category_number": 9,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Kirchenmusik-Verantwortliche koordinieren mehrere Kantoren über das Kirchenjahr gerecht und mit passendem Repertoire, Kantoren erhalten frühzeitig Klarheit über kommende Dienste samt vorbereitetem Übungsmaterial. ## Kategorie 10: GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-391",
            "title": "erstelle ein Pfarrei-Verwaltungstool für kleine Gemeindebüros",
            "prompt_number": 391,
            "prompt": "erstelle ein Pfarrei-Verwaltungstool für kleine Gemeindebüros - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrale Kontaktverwaltung für Gemeindemitglieder mit Sakramenten-Status Taufe/Erstkommunion/Firmung, Pfarrbüro-Aufgabenliste mit Fälligkeiten und Zuständigkeiten, Terminverwaltung für Kasualien Taufen/Trauungen/Beerdigungen mit Kalenderübersicht, Raumbelegungsplan für Pfarrsäle und Gemeinderäume, Dokumentenvorlagen-Bibliothek Taufschein/Firmbescheinigung-Mockup, Statistik-Dashboard Gemeindemitglieder-Entwicklung über Jahre (ApexCharts Line), Gremien-Übersicht Pfarrgemeinderat und Kirchenvorstand mit Mitgliederlisten, Kommunikations-Log wichtige Anfragen und deren Bearbeitungsstand, Jahresbericht-Generator für die Dekanatsebene, Kontaktverzeichnis externe Partner Caritas/Schulen/Kindergarten, GSAP Dashboard-Übersichts-Animationen - USE CASE: Pfarrsekretäre behalten in kleinen Gemeindebüros ohne teure Verwaltungssoftware den Überblick über alle laufenden Vorgänge, ehrenamtliche Gremienmitglieder erhalten transparenten Zugriff auf relevante Gemeindedaten für ihre Arbeit.",
            "overview": "erstelle ein Pfarrei-Verwaltungstool für kleine Gemeindebüros",
            "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "category_number": 10,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarrsekretäre behalten in kleinen Gemeindebüros ohne teure Verwaltungssoftware den Überblick über alle laufenden Vorgänge, ehrenamtliche Gremienmitglieder erhalten transparenten Zugriff auf relevante Gemeindedaten für ihre Arbeit.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-392",
            "title": "entwickle einen Dienstplan für Lektoren und Kommunionhelfer",
            "prompt_number": 392,
            "prompt": "entwickle einen Dienstplan für Lektoren und Kommunionhelfer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rotationsplan für Lektoren- und Kommunionhelfer-Dienste über mehrere Wochen mit fairer Verteilung, Verfügbarkeits-Abfrage-Formular für alle eingetragenen Ehrenamtlichen, automatische Vorschlags-Zuteilung basierend auf Verfügbarkeit und letztem Diensttermin, Vertretungs-Tausch-Börse Ehrenamtliche tauschen Dienste untereinander mit Bestätigung, Lesungs-Vorbereitungs-Verweis direkt zur zugeordneten Perikope des jeweiligen Sonntags, Erinnerungs-Benachrichtigung vor dem eigenen Dienst, Einarbeitungs-Checkliste für neue Lektoren und Kommunionhelfer, Fairness-Statistik Diensthäufigkeit pro Person über das Jahr (ApexCharts Balken), Mehrere-Gottesdienstorte-Verwaltung bei Pfarreiengemeinschaften mit mehreren Kirchen, Sonderdienste-Kennzeichnung Hochfeste erfordern mehr Kommunionhelfer, Export Dienstplan für Aushang in der Sakristei, GSAP Dienstplan-Zuteilungs-Animationen - USE CASE: Pfarrbüros koordinieren die ehrenamtlichen Liturgiedienste über mehrere Kirchen einer Pfarreiengemeinschaft gerecht, Lektoren und Kommunionhelfer sehen frühzeitig ihre kommenden Dienste samt passender Lesungsvorbereitung.",
            "overview": "entwickle einen Dienstplan für Lektoren und Kommunionhelfer",
            "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "category_number": 10,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarrbüros koordinieren die ehrenamtlichen Liturgiedienste über mehrere Kirchen einer Pfarreiengemeinschaft gerecht, Lektoren und Kommunionhelfer sehen frühzeitig ihre kommenden Dienste samt passender Lesungsvorbereitung.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-393",
            "title": "programmiere ein Kollekten- und Spendenverwaltungstool",
            "prompt_number": 393,
            "prompt": "programmiere ein Kollekten- und Spendenverwaltungstool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Erfassung der Sonntagskollekten mit Zweckbindung Caritas/Weltmission/Baurücklage, Jahresübersicht Kollekteneinnahmen nach Zweck (ApexCharts Stacked Bar), Spendenquittungs-Generator-Mockup für steuerliche Zwecke bei größeren Einzelspenden, Sonderkollekten-Kalender kirchlich vorgegebene Zwecke wie Misereor und Adveniat termingerecht, Transparenzbericht-Generator für die Gemeinde wohin die Kollekten geflossen sind, Spendenaktions-Tracker für konkrete Projekte mit Zielsumme und Fortschrittsbalken, Vergleich Vorjahreskollekten zur Trendbeobachtung (ApexCharts Line), Bargeld-Zähl-Protokoll-Vorlage für die Kollektenzählung nach dem Vier-Augen-Prinzip, Spender-Datenschutz-Hinweis prominent eingebettet, Export Jahresabschluss für die Bistumsverwaltung, Erinnerungs-Funktion für anstehende Sonderkollekten, GSAP Spendenbalken-Fortschritts-Animationen - USE CASE: Kirchenvorstände dokumentieren Kollekteneinnahmen transparent und nachvollziehbar für die Gemeinde, Pfarreien mit konkreten Bauprojekten verfolgen den Spendenfortschritt öffentlich einsehbar für alle Gemeindemitglieder.",
            "overview": "programmiere ein Kollekten- und Spendenverwaltungstool",
            "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "category_number": 10,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Kirchenvorstände dokumentieren Kollekteneinnahmen transparent und nachvollziehbar für die Gemeinde, Pfarreien mit konkreten Bauprojekten verfolgen den Spendenfortschritt öffentlich einsehbar für alle Gemeindemitglieder.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-394",
            "title": "baue einen Pfarrei-Veranstaltungskalender mit Anmeldefunktion",
            "prompt_number": 394,
            "prompt": "baue einen Pfarrei-Veranstaltungskalender mit Anmeldefunktion - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentraler Veranstaltungskalender für alle Gruppen der Pfarrei Jugendgruppe/Seniorenkreis/Chor/Bibelkreis, Anmeldefunktion mit Teilnehmerzahl-Begrenzung für Veranstaltungen mit Platzbedarf, Raumbelegungs-Abgleich um Terminkollisionen im Pfarrsaal zu vermeiden, Kategorien-Filter nach Zielgruppe Kinder/Jugend/Erwachsene/Senioren, wiederkehrende-Termine-Verwaltung wöchentliche Gruppenstunden automatisch eingetragen, Erinnerungs-Benachrichtigung vor angemeldeten Veranstaltungen, Absage-Funktion bei Verhinderung mit Nachrücker-Liste, Veranstaltungs-Feedback-Formular nach Durchführung, Export als Pfarrbrief-Terminübersicht, Öffentliche-versus-interne-Veranstaltungen-Kennzeichnung, Foto-Galerie-Mockup vergangener Veranstaltungen, GSAP Kalender-Ansichts-Animationen - USE CASE: Pfarreien mit vielen aktiven Gruppen vermeiden Terminkollisionen bei der Raumnutzung, Gemeindemitglieder finden und melden sich für passende Veranstaltungen zentral an statt in verstreuten Aushängen zu suchen.",
            "overview": "baue einen Pfarrei-Veranstaltungskalender mit Anmeldefunktion",
            "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "category_number": 10,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien mit vielen aktiven Gruppen vermeiden Terminkollisionen bei der Raumnutzung, Gemeindemitglieder finden und melden sich für passende Veranstaltungen zentral an statt in verstreuten Aushängen zu suchen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-395",
            "title": "erstelle ein digitales Sakramentenregister-Archiv",
            "prompt_number": 395,
            "prompt": "erstelle ein digitales Sakramentenregister-Archiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbares digitales Archiv der Tauf-Firmungs-und-Eheregister als Ergänzung zu den physischen Kirchenbüchern, strukturierte Erfassung Name/Datum/Spender/Paten-beziehungsweise-Trauzeugen pro Eintrag, Volltextsuche nach Namen für Bescheinigungsanfragen, Verknüpfung zwischen verwandten Einträgen Taufe und spätere Firmung derselben Person, Sicherheits-und-Datenschutz-Hinweis sensible Personendaten bleiben ausschließlich lokal und verschlüsselt, Bescheinigungs-Generator-Mockup zum Ausdrucken für Antragsteller, Statistik-Dashboard Sakramentenzahlen über die Jahre (ApexCharts Line), Zugriffsprotokoll wer hat wann welchen Eintrag eingesehen für Nachvollziehbarkeit, Import-Funktion-Mockup zur Digitalisierung alter handschriftlicher Kirchenbücher, Jubiläums-Erinnerung goldene und diamantene Hochzeiten automatisch erkannt, Archivierungs-Richtlinien-Dokumentation nach kirchenrechtlichen Vorgaben, GSAP Archiv-Such-Animationen - USE CASE: Pfarrbüros finden Sakramenteneinträge für Bescheinigungsanfragen schnell statt in Papierregistern zu blättern, Pfarreien digitalisieren historische Kirchenbücher schrittweise ohne die kirchenrechtlich vorgeschriebene physische Aufbewahrung zu ersetzen.",
            "overview": "erstelle ein digitales Sakramentenregister-Archiv",
            "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "category_number": 10,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarrbüros finden Sakramenteneinträge für Bescheinigungsanfragen schnell statt in Papierregistern zu blättern, Pfarreien digitalisieren historische Kirchenbücher schrittweise ohne die kirchenrechtlich vorgeschriebene physische Aufbewahrung zu ersetzen.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-396",
            "title": "entwickle ein Sitzungsverwaltungstool für den Pfarrgemeinderat",
            "prompt_number": 396,
            "prompt": "entwickle ein Sitzungsverwaltungstool für den Pfarrgemeinderat - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sitzungsplanung mit Tagesordnungspunkten und zugewiesenen Verantwortlichen, Protokoll-Editor mit Beschlussfassungen und Abstimmungsergebnissen, Mitgliederverzeichnis mit Amtszeit und Ausschusszugehörigkeit, Beschluss-Tracking offene versus umgesetzte Beschlüsse über mehrere Sitzungsperioden (ApexCharts Balken), Ausschuss-Verwaltung Liturgie-Caritas-Jugend-Finanzen mit eigenen Unterprotokollen, Wahlperioden-Übersicht und anstehende Neuwahltermine, Dokumenten-Ablage-Mockup Satzung und Geschäftsordnung des Gremiums, Vorlagen-Bibliothek für wiederkehrende Tagesordnungspunkte, Anwesenheits-Tracking pro Sitzung, Erinnerungs-Benachrichtigung vor Sitzungsterminen an alle Mitglieder, Export Protokolle als durchsuchbares Jahresarchiv, GSAP Sitzungsablauf-Animationen - USE CASE: Pfarrgemeinderäte dokumentieren ihre Sitzungen und Beschlüsse nachvollziehbar über mehrere Wahlperioden hinweg, neue Ratsmitglieder verschaffen sich durch das Archiv schnell Überblick über frühere Entscheidungen und deren Umsetzungsstand.",
            "overview": "entwickle ein Sitzungsverwaltungstool für den Pfarrgemeinderat",
            "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "category_number": 10,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarrgemeinderäte dokumentieren ihre Sitzungen und Beschlüsse nachvollziehbar über mehrere Wahlperioden hinweg, neue Ratsmitglieder verschaffen sich durch das Archiv schnell Überblick über frühere Entscheidungen und deren Umsetzungsstand.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-397",
            "title": "programmiere eine Rotations-App für den Ministrantendienstplan",
            "prompt_number": 397,
            "prompt": "programmiere eine Rotations-App für den Ministrantendienstplan - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dienstplan-Rotation für Ministranten über mehrere Wochen und Gottesdienstformen Sonntagsmesse/Werktagsmesse/Sonderfeiern, Verfügbarkeits-Abfrage für Ministranten und ihre Erziehungsberechtigten, faire-Verteilung-Algorithmus unter Berücksichtigung von Schule und Freizeitaktivitäten, Rollen-Zuweisung pro Dienst Kreuzträger/Kerzenträger/Thuriferar/Buchträger, Tausch-Börse für Ministranten bei Terminkonflikten mit Bestätigungspflicht der Eltern, Erinnerungs-Benachrichtigung am Vorabend des eigenen Dienstes, Einsatz-Statistik pro Ministrant über das Jahr zur gerechten Verteilung (ApexCharts Balken), Neue-Ministranten-Einarbeitungs-Kennzeichnung noch nicht für alle Rollen freigegeben, Geburtstags-und-Jubiläums-Erinnerung für langjährige Ministranten, Sonderdienste-Kennzeichnung Hochfeste und Kasualien mit höherem Bedarf, Export Dienstplan für Aushang in der Sakristei, GSAP Dienstplan-Rotations-Animationen - USE CASE: Küster und Ministrantenleiter koordinieren viele jugendliche Ministranten über wechselnde Verfügbarkeiten hinweg gerecht, Eltern und Ministranten sehen frühzeitig kommende Dienste und können rechtzeitig Vertretung organisieren.",
            "overview": "programmiere eine Rotations-App für den Ministrantendienstplan",
            "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "category_number": 10,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Küster und Ministrantenleiter koordinieren viele jugendliche Ministranten über wechselnde Verfügbarkeiten hinweg gerecht, Eltern und Ministranten sehen frühzeitig kommende Dienste und können rechtzeitig Vertretung organisieren.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-398",
            "title": "baue ein Redaktionstool für den Pfarrbrief",
            "prompt_number": 398,
            "prompt": "baue ein Redaktionstool für den Pfarrbrief - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Redaktionsplan mit Themen und Autoren-Zuweisung pro Ausgabe, Rubriken-Struktur Termine/Berichte/Predigtgedanken/Gruppenvorstellung konsistent über Ausgaben hinweg, Artikel-Entwurf-Editor mit Wortzahl-Anzeige für die Layoutplanung, Redaktionsschluss-Countdown pro Ausgabe mit Erinnerungen an Autoren, Bild-Platzhalter-Verwaltung mit Bildrechte-Checkliste, Terminkalender-Auszug automatisch aus dem Pfarrei-Veranstaltungskalender übernommen, Korrekturlese-Workflow mit Kommentarfunktion vor Drucklegung, Ausgaben-Archiv durchsuchbar für Rückblicke, Auflagen-und-Verteilungs-Tracking wie viele Exemplare an welche Verteilstellen, Leser-Feedback-Formular-Mockup, Vorlagen-Bibliothek für wiederkehrende Formate Adventsausgabe und Osterausgabe, GSAP Redaktionsplan-Animationen - USE CASE: Pfarrbrief-Redaktionsteams koordinieren mehrere ehrenamtliche Autoren mit klaren Fristen und Zuständigkeiten, Pfarreien mit regelmäßigem Pfarrbrief behalten den Überblick über Themenplanung über mehrere Ausgaben im Voraus.",
            "overview": "baue ein Redaktionstool für den Pfarrbrief",
            "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "category_number": 10,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarrbrief-Redaktionsteams koordinieren mehrere ehrenamtliche Autoren mit klaren Fristen und Zuständigkeiten, Pfarreien mit regelmäßigem Pfarrbrief behalten den Überblick über Themenplanung über mehrere Ausgaben im Voraus.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-399",
            "title": "erstelle ein Koordinationstool für Ehrenamtliche in der Pfarrei",
            "prompt_number": 399,
            "prompt": "erstelle ein Koordinationstool für Ehrenamtliche in der Pfarrei - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrales Verzeichnis aller Ehrenamtlichen mit Engagement-Bereich Liturgie/Caritas/Jugend/Verwaltung, Kompetenz-und-Interessen-Profil pro Ehrenamtlichem für passende Einsatzvorschläge, Neue-Ehrenamtliche-Onboarding-Checkliste mit Ansprechpartner-Zuordnung, Engagement-Historie wie lange und in welchen Bereichen jemand bereits tätig ist, Wertschätzungs-Erinnerung Dankschreiben oder Ehrenamtsfeier-Termine, Schulungsnachweis-Tracking verpflichtende Präventionsschulungen im Kinderschutz mit Ablaufdatum, offene-Engagement-Möglichkeiten-Übersicht wo aktuell Unterstützung gesucht wird, Stunden-Erfassung-Mockup freiwillig für den eigenen Überblick, Kommunikations-Verteiler nach Engagement-Bereich für gezielte Ankündigungen, Nachfolge-Planung frühzeitige Suche nach Nachfolgern für zentrale Rollen, Statistik-Dashboard Ehrenamts-Struktur der Pfarrei (ApexCharts Donut), GSAP Profil-Karten-Animationen - USE CASE: Pfarreien behalten den Überblick über ihre oft hunderte Ehrenamtlichen und deren jeweilige Schulungsstände, neue Freiwillige finden über die Interessens-Profile schneller einen zu ihnen passenden Engagement-Bereich.",
            "overview": "erstelle ein Koordinationstool für Ehrenamtliche in der Pfarrei",
            "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "category_number": 10,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien behalten den Überblick über ihre oft hunderte Ehrenamtlichen und deren jeweilige Schulungsstände, neue Freiwillige finden über die Interessens-Profile schneller einen zu ihnen passenden Engagement-Bereich.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "katholisch:prompt-400",
            "title": "entwickle eine Friedhofsverwaltung für die Pfarrei-eigene Begräbnisstätte",
            "prompt_number": 400,
            "prompt": "entwickle eine Friedhofsverwaltung für die Pfarrei-eigene Begräbnisstätte - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitales Grabregister mit Grabnummer/Belegungsstatus/Nutzungsrecht-Ablaufdatum, Lageplan-Visualisierung des Friedhofs mit anklickbaren Grabfeldern (D3.js), Nutzungsrecht-Verlängerungs-Erinnerung rechtzeitig vor Ablauf an die Angehörigen, Grabpflege-Verantwortlichkeits-Zuordnung wer ist für welches Grab zuständig, Gebühren-Übersicht Grabnutzungsgebühren und deren Zahlungsstatus, Bestattungstermin-Kalender mit Koordination von Priester/Küster/Bestatter, historische-Gräber-Kennzeichnung denkmalgeschützte oder besonders alte Grabstätten gesondert markiert, Allerseelen-Vorbereitungs-Checkliste jährliche Gräbersegnung organisieren, Freie-Grabstellen-Übersicht für Vorausplanungen von Gemeindemitgliedern, Angehörigen-Kontaktverwaltung pro Grabstelle, Export Friedhofsplan als PDF für die Verwaltung, GSAP Lageplan-Zoom-Animationen - USE CASE: Pfarreien mit eigenem Friedhof verwalten Belegung und Nutzungsrechte transparent statt in Papierakten, Angehörige erhalten rechtzeitige Erinnerung vor Ablauf des Nutzungsrechts eines Familiengrabes statt eine böse Überraschung zu erleben. === ENDE - 100 RELIGIÖS-SPIRITUELLE HTML5 APP-PROMPTS (BATCH 4) === ## Hinweis Quelle: erstellt für Batch 4 auf Basis realer Projektnamen aus dem eigenen HTML-MD-EXPORT-Archiv — ANGELUS, ROSENKRANZ und HTML-BACKUP (Kreuzweg-Andacht) für Kategorie 1, kath-ki, messandacht (tridentinische Messandacht) und liturgie-1 (Ritenvergleich) für Kategorie 2 und 14, kempis (De Imitatione Christi) als Vorbild für die Gebets- und Andachtsprompts, summa (scholastisches Glossar) direkt als Vorlage für #362, koran-bibel-erweiterte-analyse und nostra-aetate-analyse als Vorlage für Kategorie 4, sowie die Buchidee „orbitron-maps — 3.500 km zu Fuß\" als Vorlage für #371. Kategorie 5 zieht die direkte Sicherheitslehre aus dem im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts (hartcodierter, clientseitig sichtbarer OpenAI-Key) — jeder der zehn Prompts in dieser Kategorie verlangt ausdrücklich eine serverseitige Proxy-Architektur ohne clientseitigen API-Key, exakt so wie es kathsafe6 als sichere Variante bereits korrekt umgesetzt hat. Der Ton bleibt über alle 100 Prompts hinweg respektvoll und theologisch/liturgisch fundiert — als echtes Werkzeug für gläubige Nutzer und interreligiösen Dialog, nicht als Satire.",
            "overview": "entwickle eine Friedhofsverwaltung für die Pfarrei-eigene Begräbnisstätte",
            "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
            "category_number": 10,
            "cluster": "Religiös / Spirituell",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "katholisch",
              "spiritualitaet",
              "liturgie",
              "gebet",
              "interreligioes",
              "kirchengeschichte",
              "pilgerreise",
              "pfarrei"
            ],
            "use_case": "Pfarreien mit eigenem Friedhof verwalten Belegung und Nutzungsrechte transparent statt in Papierakten, Angehörige erhalten rechtzeitige Erinnerung vor Ablauf des Nutzungsrechts eines Familiengrabes statt eine böse Überraschung zu erleben. === ENDE - 100 RELIGIÖS-SPIRITUELLE HTML5 APP-PROMPTS (BATCH 4) === ## Hinweis Quelle: erstellt für Batch 4 auf Basis realer Projektnamen aus dem eigenen HTML-MD-EXPORT-Archiv — ANGELUS, ROSENKRANZ und HTML-BACKUP (Kreuzweg-Andacht) für Kategorie 1, kath-ki, messandacht (tridentinische Messandacht) und liturgie-1 (Ritenvergleich) für Kategorie 2 und 14, kempis (De Imitatione Christi) als Vorbild für die Gebets- und Andachtsprompts, summa (scholastisches Glossar) direkt als Vorlage für #362, koran-bibel-erweiterte-analyse und nostra-aetate-analyse als Vorlage für Kategorie 4, sowie die Buchidee „orbitron-maps — 3.500 km zu Fuß\" als Vorlage für #371. Kategorie 5 zieht die direkte Sicherheitslehre aus dem im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts (hartcodierter, clientseitig sichtbarer OpenAI-Key) — jeder der zehn Prompts in dieser Kategorie verlangt ausdrücklich eine serverseitige Proxy-Architektur ohne clientseitigen API-Key, exakt so wie es kathsafe6 als sichere Variante bereits korrekt umgesetzt hat. Der Ton bleibt über alle 100 Prompts hinweg respektvoll und theologisch/liturgisch fundiert — als echtes Werkzeug für gläubige Nutzer und interreligiösen Dialog, nicht als Satire.",
            "source": "katholisch.md",
            "source_path": "katholisch.md",
            "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          }
        ]
      },
      {
        "catalog_type": "prompt_library",
        "catalog_id": "school-100",
        "title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "description": "Prompt library sourced from school-100.md; prompts are ideas, not verified project evidence.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "count": 100,
        "categories": [
          "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
          "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
          "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
          "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
          "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
          "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
          "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
          "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
          "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
          "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)"
        ],
        "records": [
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-401",
            "title": "erstelle einen Mathe-Übungstest-Generator Klasse 5-10 differenziert",
            "prompt_number": 401,
            "prompt": "erstelle einen Mathe-Übungstest-Generator Klasse 5-10 differenziert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenauswahl Bruchrechnung/Prozentrechnung/Gleichungen/Geometrie nach Klassenstufe, Schulform-Umschalter Gymnasium/Realschule/Gesamtschule mit angepasstem Anforderungsniveau, Aufgaben-Generator mit Zufallszahlen und Schwierigkeitsstufen leicht/mittel/schwer, Rechenweg-Anzeige einklappbar bei falscher Antwort, Zeitmessung pro Aufgabe und Gesamttest, Punktesystem mit Notenschlüssel-Umrechnung, Fehleranalyse nach Themenblock (ApexCharts Balken), Wiederholungsmodus nur falsch gelöste Aufgaben, Druckansicht als PDF-Arbeitsblatt für Offline-Übung, Fortschrittsverlauf über mehrere Testdurchläufe (D3.js Linie), Eltern-Ansicht ohne Klarnamen nur Pseudonym, GSAP Aufgaben-Einblend-Animationen - USE CASE: Schüler üben eigenständig für die nächste Klassenarbeit mit passgenauem Schwierigkeitsgrad, Nachhilfelehrer erstellen in Minuten differenzierte Übungssätze für Schüler unterschiedlicher Schulformen.",
            "overview": "erstelle einen Mathe-Übungstest-Generator Klasse 5-10 differenziert",
            "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
            "category_number": 1,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler üben eigenständig für die nächste Klassenarbeit mit passgenauem Schwierigkeitsgrad, Nachhilfelehrer erstellen in Minuten differenzierte Übungssätze für Schüler unterschiedlicher Schulformen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-402",
            "title": "entwickle einen Deutsch-Grammatik-und-Rechtschreibtest-Generator",
            "prompt_number": 402,
            "prompt": "entwickle einen Deutsch-Grammatik-und-Rechtschreibtest-Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenkatalog Zeitformen/Satzglieder/Groß-Kleinschreibung/Kommasetzung nach Klassenstufe 5-10, Lückentext-Generator mit automatischer Auswertung, Diktat-Modus mit Vorlese-Simulation und Fehlerhervorhebung, Fehlerklassifikation Rechtschreibung vs Grammatik vs Zeichensetzung (ApexCharts Donut), Regelerklärung bei Fehler mit Beispielsatz, Schwierigkeitsgrad-Anpassung nach Fehlerquote automatisch, Klassenarbeits-Simulation mit Zeitlimit, individuelle Fehlerkartei häufigster Fehlerwörter, Fortschritts-Heatmap über Wochen (D3.js Kalender), Export Testergebnis als Übersicht für Eltern, Offline-Nutzung ohne Internet, GSAP Korrektur-Feedback-Animationen - USE CASE: Grundschul- und Unterstufenschüler festigen Rechtschreibung und Grammatik gezielt vor Diktaten, Eltern erkennen anhand der Fehlerkartei welche Regeln noch nicht sitzen.",
            "overview": "entwickle einen Deutsch-Grammatik-und-Rechtschreibtest-Generator",
            "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
            "category_number": 1,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Grundschul- und Unterstufenschüler festigen Rechtschreibung und Grammatik gezielt vor Diktaten, Eltern erkennen anhand der Fehlerkartei welche Regeln noch nicht sitzen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-403",
            "title": "programmiere einen Englisch-Vocabulary-und-Grammar-Test-Generator",
            "prompt_number": 403,
            "prompt": "programmiere einen Englisch-Vocabulary-und-Grammar-Test-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themeneinheiten nach gängigen Lehrwerk-Kapiteln School/Family/Sports/Environment, Grammatik-Module Simple Past/Present Perfect/Conditional Sentences mit Erklär-Popover, Multiple-Choice und Lückentext-Aufgabentypen kombiniert, Aussprache-Hinweis-Karten zu Vokabeln, Klassenstufen-Filter 5-10 mit passendem Wortschatzumfang, Test-Auswertung mit Prozent- und Notenschlüssel-Anzeige, Fehlerschwerpunkt-Analyse Vokabular vs Grammatik (ApexCharts Balken), Wiederholungs-Set aus letzten Fehlern automatisch zusammengestellt, Zeitdruck-Modus wie in echter Klassenarbeit, Fortschrittsverlauf mehrerer Testtermine (D3.js Linie), Vokabelheft-Export als Liste, GSAP Test-Abschluss-Animationen - USE CASE: Schüler bereiten sich strukturiert auf Vokabeltests und Klassenarbeiten vor, Nachhilfelehrer identifizieren schnell ob Vokabular oder Grammatik der Schwachpunkt ist.",
            "overview": "programmiere einen Englisch-Vocabulary-und-Grammar-Test-Generator",
            "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
            "category_number": 1,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler bereiten sich strukturiert auf Vokabeltests und Klassenarbeiten vor, Nachhilfelehrer identifizieren schnell ob Vokabular oder Grammatik der Schwachpunkt ist.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-404",
            "title": "baue einen Latein-Übersetzungs-und-Grammatik-Klausurtrainer",
            "prompt_number": 404,
            "prompt": "baue einen Latein-Übersetzungs-und-Grammatik-Klausurtrainer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Textkorpus nach Lehrbuchlektionen mit steigendem Schwierigkeitsgrad, Übersetzungs-Editor mit Wort-für-Wort-Hilfe bei Bedarf einblendbar, Grammatik-Module AcI/Ablativus Absolutus/Konjunktiv im Nebensatz mit Beispielsätzen, Stammformen-Trainer zu unregelmäßigen Verben, Konstruktions-Erkennungs-Quiz markiere die Satzkonstruktion, Klausur-Simulation mit Zeitlimit und Wörterbuch-Sperre-Hinweis, Bewertungsraster nach Punktesystem wie in echten Lateinklausuren, Fehleranalyse grammatische Kategorien (ApexCharts Radar), Vokabel-Wiederholung aus bereits bearbeiteten Texten, Interpretations-Fragen zu Kulturkontext, Fortschritt pro Lektion (D3.js Balken), GSAP Text-Analyse-Animationen - USE CASE: Gymnasiasten bereiten sich gezielt auf Lateinklausuren mit Übersetzungsteil vor, Nachhilfelehrer üben mit Schülern die typischen Konstruktionen die in Klausuren am häufigsten abgefragt werden.",
            "overview": "baue einen Latein-Übersetzungs-und-Grammatik-Klausurtrainer",
            "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
            "category_number": 1,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Gymnasiasten bereiten sich gezielt auf Lateinklausuren mit Übersetzungsteil vor, Nachhilfelehrer üben mit Schülern die typischen Konstruktionen die in Klausuren am häufigsten abgefragt werden.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-405",
            "title": "erstelle einen Physik-Übungstest-Generator Mechanik-und-Elektrik",
            "prompt_number": 405,
            "prompt": "erstelle einen Physik-Übungstest-Generator Mechanik-und-Elektrik - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Kraft/Bewegung/Energie und Stromkreise/Widerstand nach Klassenstufe 7-10, Formel-Anwendungsaufgaben mit Variablen-Eingabe und automatischer Prüfung, Einheiten-Kontrolle warnt bei falscher Einheit, Diagramm-Ableseaufgaben v-t und s-t-Diagramme (ApexCharts), Schaltplan-Erkennungsfragen Reihen- und Parallelschaltung, Rechenweg-Anzeige Schritt für Schritt bei Bedarf, Klassenarbeits-Modus mit Formelsammlung-Sperre-Option, Fehleranalyse nach Themenblock (D3.js Radar), Schwierigkeitsgrad-Anpassung automatisch nach Erfolgsquote, Wiederholungsmodus schwacher Themen, Export Testergebnis-Übersicht, GSAP Diagramm-Einblend-Animationen - USE CASE: Realschüler und Gymnasiasten üben rechenintensive Physikaufgaben mit sofortiger Korrektur, Nachhilfelehrer erkennen ob mechanisches Verständnis oder reine Rechenfehler die Ursache für schlechte Noten sind.",
            "overview": "erstelle einen Physik-Übungstest-Generator Mechanik-und-Elektrik",
            "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
            "category_number": 1,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Realschüler und Gymnasiasten üben rechenintensive Physikaufgaben mit sofortiger Korrektur, Nachhilfelehrer erkennen ob mechanisches Verständnis oder reine Rechenfehler die Ursache für schlechte Noten sind.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-406",
            "title": "entwickle einen Chemie-Übungstest-Generator Stöchiometrie-und-Periodensystem",
            "prompt_number": 406,
            "prompt": "entwickle einen Chemie-Übungstest-Generator Stöchiometrie-und-Periodensystem - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenauswahl Atombau/Periodensystem/chemische Reaktionsgleichungen/Stöchiometrie nach Klassenstufe, Reaktionsgleichungen-Ausgleichs-Übung mit automatischer Prüfung der Koeffizienten, Molare-Masse-Rechenaufgaben mit Rechenweg, Periodensystem-Zuordnungsfragen Ordnungszahl/Gruppe/Periode, Stoffeigenschaften-Quiz sauer/basisch/neutral, Klassenarbeits-Simulation mit Zeitlimit, Fehleranalyse nach Themenbereich (ApexCharts Balken), Formelsammlung-Kurzreferenz einblendbar, Schwierigkeitsgrad-Stufen leicht bis Oberstufen-Niveau, Fortschrittsverlauf über Testtermine (D3.js Linie), Wiederholungsset aus Fehlern, GSAP Reaktionsgleichungs-Animationen - USE CASE: Schüler üben das Ausgleichen von Reaktionsgleichungen bis es automatisiert sitzt, Nachhilfelehrer bereiten gezielt auf die nächste Chemiearbeit zu Stöchiometrie vor.",
            "overview": "entwickle einen Chemie-Übungstest-Generator Stöchiometrie-und-Periodensystem",
            "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
            "category_number": 1,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler üben das Ausgleichen von Reaktionsgleichungen bis es automatisiert sitzt, Nachhilfelehrer bereiten gezielt auf die nächste Chemiearbeit zu Stöchiometrie vor.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-407",
            "title": "baue einen Biologie-Übungstest-Generator Zellbiologie-Genetik-Ökologie",
            "prompt_number": 407,
            "prompt": "baue einen Biologie-Übungstest-Generator Zellbiologie-Genetik-Ökologie - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Zellaufbau/Vererbungslehre/Ökosysteme nach Klassenstufe 7-10, Beschriftungsaufgaben zu Zell- und Organdiagrammen, Kreuzungsschema-Übungen Mendelsche Regeln mit automatischer Auswertung, Nahrungsketten-Zuordnungsfragen, Fachbegriff-Definitions-Quiz mit Multiple-Choice, Klassenarbeits-Modus mit Zeitlimit, Fehleranalyse nach Themenbereich (ApexCharts Radar), Bildmaterial-basierte Fragen mit Zoom-Funktion, Schwierigkeitsgrad-Anpassung automatisch, Fortschrittsverlauf über Schulhalbjahr (D3.js Linie), Wiederholungsmodus schwacher Themen, GSAP Diagramm-Beschriftungs-Animationen - USE CASE: Schüler festigen Fachbegriffe und Zusammenhänge vor Biologiearbeiten praxisnah, Eltern ohne Bio-Kenntnisse können den Fortschritt trotzdem anhand der Auswertung nachvollziehen.",
            "overview": "baue einen Biologie-Übungstest-Generator Zellbiologie-Genetik-Ökologie",
            "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
            "category_number": 1,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler festigen Fachbegriffe und Zusammenhänge vor Biologiearbeiten praxisnah, Eltern ohne Bio-Kenntnisse können den Fortschritt trotzdem anhand der Auswertung nachvollziehen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-408",
            "title": "programmiere eine 109-Übungstests-Bibliothek fürs Gymnasium NRW",
            "prompt_number": 408,
            "prompt": "programmiere eine 109-Übungstests-Bibliothek fürs Gymnasium NRW - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Testbibliothek mit 109 kategorisierten Übungstests über Mathe/Deutsch/Englisch nach NRW-Kernlehrplan Klasse 5-10, Fach- und Klassenstufen-Filter kombinierbar, Schulform-Kennzeichnung Gymnasium-spezifisches Anforderungsniveau, Zufalls-Test-Zusammenstellung aus dem Pool, Fortschritts-Dashboard über alle 109 Tests (ApexCharts Radial), Eltern-Handbuch-Sektion Erklärung der NRW-Notenstufen und Kernlehrplan-Kompetenzbereiche, Schwachstellen-Report nach Fach und Kompetenzbereich (D3.js Heatmap), Testtermin-Verwaltung wann welcher Test bearbeitet wurde, Druckansicht einzelner Tests als Arbeitsblatt, Lesezeichen-Funktion für Wiederholung, Suchfunktion über alle Testtitel, GSAP Test-Auswahl-Animationen - USE CASE: Eltern in NRW nutzen die Testbibliothek als strukturiertes Nachschlagewerk zur Vorbereitung auf Klassenarbeiten ihrer Kinder, Nachhilfelehrer sparen Vorbereitungszeit durch die fertige kategorisierte Testsammlung nach Kernlehrplan.",
            "overview": "programmiere eine 109-Übungstests-Bibliothek fürs Gymnasium NRW",
            "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
            "category_number": 1,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Eltern in NRW nutzen die Testbibliothek als strukturiertes Nachschlagewerk zur Vorbereitung auf Klassenarbeiten ihrer Kinder, Nachhilfelehrer sparen Vorbereitungszeit durch die fertige kategorisierte Testsammlung nach Kernlehrplan.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-409",
            "title": "erstelle einen ZP10-Simulator Zentrale-Prüfungen-Klasse-10-NRW",
            "prompt_number": 409,
            "prompt": "erstelle einen ZP10-Simulator Zentrale-Prüfungen-Klasse-10-NRW - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fachauswahl Mathematik/Deutsch/Englisch entsprechend den echten NRW-Zentralen-Prüfungen, Aufgabenformate wie im Original Grundkurs/Erweiterungskurs-Differenzierung, Zeitlimit exakt wie in der echten Prüfung, Musterlösungen mit Bewertungsschema nach Punkten, Bewertungsraster-Simulation Notenumrechnung aus Prüfungspunkten, Themenschwerpunkt-Statistik welche Themen historisch häufig geprüft wurden (ApexCharts Balken), Übungsklausuren aus Vorjahren-Struktur nachgebildet, Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Countdown-Anzeige bis zum echten Prüfungstermin, Stress-freier Übungsmodus ohne Zeitdruck als Alternative, Fortschritts-Historie über mehrere Simulationsdurchläufe, GSAP Prüfungsstart-Countdown-Animationen - USE CASE: Zehntklässler in NRW bereiten sich unter realistischen Bedingungen auf die Zentralen Prüfungen vor, Eltern verstehen anhand der Bewertungssimulation wie die Punkte in die Abschlussnote einfließen.",
            "overview": "erstelle einen ZP10-Simulator Zentrale-Prüfungen-Klasse-10-NRW",
            "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
            "category_number": 1,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Zehntklässler in NRW bereiten sich unter realistischen Bedingungen auf die Zentralen Prüfungen vor, Eltern verstehen anhand der Bewertungssimulation wie die Punkte in die Abschlussnote einfließen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-410",
            "title": "entwickle einen fächerübergreifenden Diagnosetest-Generator Einstufung",
            "prompt_number": 410,
            "prompt": "entwickle einen fächerübergreifenden Diagnosetest-Generator Einstufung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurzdiagnose über Mathe/Deutsch/Englisch-Grundkompetenzen bei Schulformwechsel oder Nachhilfebeginn, Adaptiver Fragenpfad wird bei richtigen Antworten schwerer bei falschen leichter, Kompetenzraster-Ergebnis nach Bildungsstandards (ApexCharts Radar), Klassenstufen-Einschätzung Ergebnis-basiert, Lückenidentifikation konkrete Themenbereiche mit Nachholbedarf, Empfehlungs-Report welche Übungstests aus der Bibliothek als nächstes sinnvoll sind, Zeitaufwand pro Fach ca. 15 Minuten, Eltern-verständliche Ergebnis-Zusammenfassung ohne Fachjargon, Vergleich zu Klassenstufen-Durchschnitt anonymisiert, Wiederholung der Diagnose nach mehreren Wochen zum Vergleich, Datenschutz-Hinweis nur Pseudonym keine Schulnamen-Pflicht, GSAP Ergebnis-Enthüllungs-Animationen - USE CASE: Eltern und Nachhilfelehrer verschaffen sich beim Erstkontakt schnell ein objektives Bild über den tatsächlichen Wissensstand eines Kindes, Schulformwechsler erkennen konkret welche Lücken vor dem Wechsel geschlossen werden sollten. ## Kategorie 2: VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "overview": "entwickle einen fächerübergreifenden Diagnosetest-Generator Einstufung",
            "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
            "category_number": 1,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Eltern und Nachhilfelehrer verschaffen sich beim Erstkontakt schnell ein objektives Bild über den tatsächlichen Wissensstand eines Kindes, Schulformwechsler erkennen konkret welche Lücken vor dem Wechsel geschlossen werden sollten. ## Kategorie 2: VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-411",
            "title": "erstelle einen Englisch-Vokabeltrainer Spaced-Repetition nach Lehrbuch-Einheiten",
            "prompt_number": 411,
            "prompt": "erstelle einen Englisch-Vokabeltrainer Spaced-Repetition nach Lehrbuch-Einheiten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelstapel gegliedert nach Lehrwerk-Units und Klassenstufe 5-10, Spaced-Repetition-Algorithmus SM-2-ähnlich mit automatischer Wiedervorlage, Karteikarten-Modus Vorderseite Deutsch/Englisch umschaltbar, Aussprache-Lautschrift-Hinweis pro Vokabel, Tages-Lernziel mit Streak-Zähler, Fälligkeits-Kalender-Heatmap wie viele Karten heute fällig sind (ApexCharts Kalender), Schreibmodus statt nur Erkennen zur Festigung, Themenwortschatz-Listen School/Home/Free-Time separat übbar, Fortschritts-Dashboard gelernte vs fällige Wörter (D3.js Balken), Offline-Nutzung als PWA ohne Internet, Export eigener schwieriger Wörter als Übungsliste, GSAP Karten-Flip-Animationen - USE CASE: Schüler bereiten sich täglich in kurzen Einheiten auf den nächsten Vokabeltest vor, das nach Lehrwerk-Units sortierte System spart Eltern und Nachhilfelehrern die manuelle Karteikarten-Erstellung.",
            "overview": "erstelle einen Englisch-Vokabeltrainer Spaced-Repetition nach Lehrbuch-Einheiten",
            "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "category_number": 2,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler bereiten sich täglich in kurzen Einheiten auf den nächsten Vokabeltest vor, das nach Lehrwerk-Units sortierte System spart Eltern und Nachhilfelehrern die manuelle Karteikarten-Erstellung.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-412",
            "title": "entwickle einen Französisch-Vokabel-und-Verbtrainer für die Sekundarstufe",
            "prompt_number": 412,
            "prompt": "entwickle einen Französisch-Vokabel-und-Verbtrainer für die Sekundarstufe - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vokabelthemen nach Lehrplan-Kapiteln Famille/École/Loisirs, Verbkonjugations-Trainer présent/passé composé/futur simple mit Endungs-Hervorhebung, Genus-Trainer le/la mit Merkhilfen, Aussprache-Hinweise für typische Fehlerlaute, Karteikasten-Leitner-System mit fünf Fächern, Fortschritts-Dashboard pro Zeitform (ApexCharts Radar), Fehlerkartei häufigster Konjugationsfehler, Diktier-Übung Hörverstehen kurzer Sätze, Themen-Quiz mit Zeitlimit wie in Vokabeltests, Lernstreak-Tracker mit Wochenübersicht, Offline-Modus als installierbare PWA, GSAP Konjugationstabellen-Animationen - USE CASE: Schüler der Sekundarstufe I festigen unregelmäßige Verbformen vor Vokabeltests systematisch, Nachhilfelehrer sehen anhand der Fehlerkartei sofort welche Zeitform noch unsicher ist.",
            "overview": "entwickle einen Französisch-Vokabel-und-Verbtrainer für die Sekundarstufe",
            "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "category_number": 2,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler der Sekundarstufe I festigen unregelmäßige Verbformen vor Vokabeltests systematisch, Nachhilfelehrer sehen anhand der Fehlerkartei sofort welche Zeitform noch unsicher ist.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-413",
            "title": "programmiere einen Latein-Vokabeltrainer mit Stammformen-und-Deklinationstabellen",
            "prompt_number": 413,
            "prompt": "programmiere einen Latein-Vokabeltrainer mit Stammformen-und-Deklinationstabellen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelstapel nach Lehrbuchlektionen mit lateinischem Grundwortschatz, Stammformen-Abfrage zu unregelmäßigen Verben mit allen vier Formen, Deklinationstabellen-Trainer a-, o-, konsonantische Deklination interaktiv ausfüllbar, Karteikasten-System mit Wiedervorlage nach Fehlerquote, Wortarterkennung-Quiz Substantiv/Verb/Adjektiv aus Kontext, Genus-Merkhilfen zu unregelmäßigen Substantiven, Fortschritts-Dashboard pro Lektion (ApexCharts Balken), Etymologie-Hinweise Herkunft moderner Fremdwörter zur Motivation, Klausur-Vokabelliste automatisch aus kommenden Lektionen zusammengestellt, Lernstreak mit Wochenübersicht, Offline-PWA-Nutzung, GSAP Deklinationstabellen-Animationen - USE CASE: Lateinschüler pauken Vokabeln und Stammformen effizient vor der nächsten Vokabelüberprüfung, das System bereitet gezielt auf den im Klausurtrainer benötigten Grundwortschatz vor.",
            "overview": "programmiere einen Latein-Vokabeltrainer mit Stammformen-und-Deklinationstabellen",
            "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "category_number": 2,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Lateinschüler pauken Vokabeln und Stammformen effizient vor der nächsten Vokabelüberprüfung, das System bereitet gezielt auf den im Klausurtrainer benötigten Grundwortschatz vor.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-414",
            "title": "baue eine 5-Sprachen-Grammatik-Kompakt-App Englisch-Französisch-Latein-Spanisch-Deutsch",
            "prompt_number": 414,
            "prompt": "baue eine 5-Sprachen-Grammatik-Kompakt-App Englisch-Französisch-Latein-Spanisch-Deutsch - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprachauswahl-Tabs mit kompakten Grammatikübersichten pro Sprache Zeiten/Fälle/Satzbau, Vergleichsansicht gleiche Grammatikkategorie über alle fünf Sprachen nebeneinander, Kurz-Drill pro Regel mit fünf Übungssätzen, Signalwort-Listen zur Zeitform-Erkennung je Sprache, Eselsbrücken-Sammlung zu schwierigen Regeln, Suchfunktion über alle Grammatikthemen sprachübergreifend, Lesezeichen-Funktion häufig nachgeschlagener Regeln, Fortschritts-Tracker welche Regeln als gefestigt markiert wurden (ApexCharts Radar über fünf Sprachen), Druckansicht als kompakte Merkkarte pro Regel, Offline-Nutzung als PWA im Ranzen ohne Internet, Dunkles augenschonendes Lese-Theme, GSAP Sprachwechsel-Übergangs-Animationen - USE CASE: Schüler mit mehreren Fremdsprachen gleichzeitig schlagen Grammatikregeln kompakt an einem Ort nach statt in fünf verschiedenen Heften zu blättern, die Vergleichsansicht hilft typische Verwechslungen zwischen den Sprachen zu vermeiden.",
            "overview": "baue eine 5-Sprachen-Grammatik-Kompakt-App Englisch-Französisch-Latein-Spanisch-Deutsch",
            "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "category_number": 2,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler mit mehreren Fremdsprachen gleichzeitig schlagen Grammatikregeln kompakt an einem Ort nach statt in fünf verschiedenen Heften zu blättern, die Vergleichsansicht hilft typische Verwechslungen zwischen den Sprachen zu vermeiden.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-415",
            "title": "erstelle einen Spanisch-Vokabeltrainer für das Wahlpflichtfach",
            "prompt_number": 415,
            "prompt": "erstelle einen Spanisch-Vokabeltrainer für das Wahlpflichtfach - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelthemen nach Lehrplan-Einheiten Familia/Colegio/Ciudad, Verbkonjugation presente/pretérito-Trainer mit Endungs-Farbcodierung, Ser-vs-Estar-Unterscheidungs-Übungen mit Erklärung, Karteikasten-Leitner-System, Aussprache-Hinweis zu Betonungsregeln, Fortschritts-Dashboard neue vs gefestigte Vokabeln (ApexCharts Donut), Themen-Quiz mit Zeitlimit, Fehlerkartei häufigster Fehler, Lernstreak-Tracker mit Kalenderansicht, Offline-Modus als PWA, Export Vokabelliste zum Ausdrucken, GSAP Karten-Flip-Animationen - USE CASE: Schüler im Wahlpflichtfach Spanisch bauen systematisch Grundwortschatz auf, Nachhilfelehrer nutzen die App als Ergänzung wenn Spanisch neu als drittes Fremdsprachenfach hinzukommt.",
            "overview": "erstelle einen Spanisch-Vokabeltrainer für das Wahlpflichtfach",
            "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "category_number": 2,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler im Wahlpflichtfach Spanisch bauen systematisch Grundwortschatz auf, Nachhilfelehrer nutzen die App als Ergänzung wenn Spanisch neu als drittes Fremdsprachenfach hinzukommt.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-416",
            "title": "entwickle einen kombinierten Unregelmäßige-Verben-Trainer Englisch-Französisch",
            "prompt_number": 416,
            "prompt": "entwickle einen kombinierten Unregelmäßige-Verben-Trainer Englisch-Französisch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verbliste unregelmäßiger Verben beider Sprachen mit allen Formen, Sprachumschalter Englisch/Französisch/gemischt zum Trainieren, Tipp-Modus Anfangsbuchstabe wird vorgegeben bei Bedarf, Zeitmess-Modus wie schnell werden 20 Verben korrekt genannt, Fehlerstatistik welche Verben am häufigsten falsch sind (ApexCharts Balken), Karteikasten-Wiederholung nach Leitner-Prinzip, Themen-Sets nach Häufigkeit im Schulalphabet sortiert, Highscore-Tracker eigene Bestzeiten, Lernstreak mit Wochenkalender, Offline-Nutzung als PWA, Export Verbliste als Merkzettel, GSAP Formen-Einblend-Animationen - USE CASE: Schüler mit zwei Fremdsprachen gleichzeitig trainieren die verwirrenden unregelmäßigen Verben beider Sprachen getrennt oder gemischt, der Zeitmess-Modus macht aus stumpfem Pauken ein motivierendes Eigenrennen.",
            "overview": "entwickle einen kombinierten Unregelmäßige-Verben-Trainer Englisch-Französisch",
            "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "category_number": 2,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler mit zwei Fremdsprachen gleichzeitig trainieren die verwirrenden unregelmäßigen Verben beider Sprachen getrennt oder gemischt, der Zeitmess-Modus macht aus stumpfem Pauken ein motivierendes Eigenrennen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-417",
            "title": "baue einen fächerübergreifenden Leitner-Karteikasten-Vokabeltrainer",
            "prompt_number": 417,
            "prompt": "baue einen fächerübergreifenden Leitner-Karteikasten-Vokabeltrainer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eigene Kartenstapel anlegen für jedes Fach und jede Fremdsprache, Fünf-Fächer-Leitner-System mit automatischer Wiedervorlage-Logik, Import eigener Vokabellisten als CSV, Karten-Editor mit Bild-Platzhalter und Beispielsatz, Fälligkeits-Übersicht wie viele Karten pro Fach heute anstehen (ApexCharts Balken), Statistik-Dashboard Erfolgsquote pro Fach (D3.js Radar), Lernstreak-Tracker über alle Stapel hinweg, Suchfunktion über alle eigenen Karten, Teilen-Funktion-Mockup eigene Stapel als Datei exportieren für Mitschüler, Offline-Nutzung als installierbare PWA, Erinnerungs-Hinweis bei fälligen Karten, GSAP Fach-Wechsel-Animationen - USE CASE: Schüler bauen sich ein individuelles fachübergreifendes Karteikasten-System für Vokabeln und Fachbegriffe auf, Nachhilfelehrer erstellen für jeden Schüler passgenaue Stapel statt physischer Karteikarten.",
            "overview": "baue einen fächerübergreifenden Leitner-Karteikasten-Vokabeltrainer",
            "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "category_number": 2,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler bauen sich ein individuelles fachübergreifendes Karteikasten-System für Vokabeln und Fachbegriffe auf, Nachhilfelehrer erstellen für jeden Schüler passgenaue Stapel statt physischer Karteikarten.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-418",
            "title": "programmiere einen Hörverstehen-und-Diktat-Trainer für Fremdsprachen",
            "prompt_number": 418,
            "prompt": "programmiere einen Hörverstehen-und-Diktat-Trainer für Fremdsprachen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprachauswahl Englisch/Französisch/Latein-Ausspracheübung, Text-to-Speech-Vorlesefunktion mit einstellbarer Geschwindigkeit, Diktier-Modus Schüler tippt Gehörtes mit automatischem Abgleich, Lückentext-Hörverstehen mit Mehrfachauswahl, Wiederholungs-Buttons einzelne Satzabschnitte erneut anhören, Fehleranalyse Rechtschreibung vs Verständnis (ApexCharts Donut), Schwierigkeitsstufen nach Sprechtempo, Themenauswahl passend zu Klassenstufe, Fortschritts-Historie über mehrere Sitzungen (D3.js Linie), Kopfhörer-Empfehlungs-Hinweis für konzentriertes Üben, Offline-Nutzung soweit Sprachausgabe lokal verfügbar, GSAP Audio-Wellenform-Animationen - USE CASE: Schüler üben Hörverstehen gezielt vor mündlichen Prüfungen und Hörverstehens-Klassenarbeiten, das Diktier-Format verbindet Hörtraining direkt mit Rechtschreibfestigung in der Fremdsprache.",
            "overview": "programmiere einen Hörverstehen-und-Diktat-Trainer für Fremdsprachen",
            "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "category_number": 2,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler üben Hörverstehen gezielt vor mündlichen Prüfungen und Hörverstehens-Klassenarbeiten, das Diktier-Format verbindet Hörtraining direkt mit Rechtschreibfestigung in der Fremdsprache.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-419",
            "title": "erstelle einen Deutsch-als-Zweitsprache-Vokabeltrainer für Schüler",
            "prompt_number": 419,
            "prompt": "erstelle einen Deutsch-als-Zweitsprache-Vokabeltrainer für Schüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundwortschatz-Stapel nach Alltagsthemen Schule/Familie/Einkaufen für DaZ-Anfänger, Bildkarten-Modus Wort mit Symbolbild statt nur Text, Einfache-Sprache-Erklärungen zu Artikeln der/die/das mit Farbcodierung, Alltagssätze-Bausteinkasten zum Üben einfacher Satzstrukturen, Aussprache-Hilfe mit Text-to-Speech, Karteikasten-Wiederholung nach Erfolgsquote, Fortschritts-Dashboard Wortschatzumfang über Zeit (ApexCharts Flächendiagramm), Elternhinweis-Sektion mehrsprachig DE/EN/weitere für Herkunftssprachen, Lernstreak-Tracker kindgerecht mit Symbolen statt Zahlen, Offline-Nutzung als PWA, Druckansicht Bildkarten für zuhause, GSAP Bildkarten-Einblend-Animationen - USE CASE: Schüler mit Migrationshintergrund bauen niedrigschwellig deutschen Grundwortschatz für den Schulalltag auf, Nachhilfelehrer in DaZ-Fördergruppen nutzen die Bildkarten als visuelle Einstiegshilfe ohne Vorkenntnisse vorauszusetzen.",
            "overview": "erstelle einen Deutsch-als-Zweitsprache-Vokabeltrainer für Schüler",
            "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "category_number": 2,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler mit Migrationshintergrund bauen niedrigschwellig deutschen Grundwortschatz für den Schulalltag auf, Nachhilfelehrer in DaZ-Fördergruppen nutzen die Bildkarten als visuelle Einstiegshilfe ohne Vorkenntnisse vorauszusetzen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-420",
            "title": "entwickle ein Klassenzimmer-Vokabel-Quiz im Team-Wettbewerbs-Modus",
            "prompt_number": 420,
            "prompt": "entwickle ein Klassenzimmer-Vokabel-Quiz im Team-Wettbewerbs-Modus - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Team-Einteilung mit Teamnamen statt Schülernamen zum Datenschutz, Buzzer-Simulation schnellste richtige Antwort gewinnt Punkte, Fragenkatalog aus aktuellem Vokabelstapel importierbar, Punktestand-Anzeige live als Ranglisten-Tafel (ApexCharts Balken), Rundenmodus mit steigendem Schwierigkeitsgrad, Joker-System ein Tipp pro Team und Runde, Zeitlimit pro Frage mit Countdown-Anzeige, Moderator-Ansicht für Lehrkraft mit Lösungsschlüssel, Rückblick-Statistik welche Themen am schlechtesten abschnitten (D3.js Balken), Exportierbare-Fragenlisten für nächste Runde, Beamer-taugliche Großansicht, GSAP Punktestand-Update-Animationen - USE CASE: Nachhilfelehrer und Lehrkräfte lockern Vokabelwiederholung durch einen spielerischen Klassenwettbewerb auf, das Teamformat motiviert auch zurückhaltendere Schüler ohne einzelne Kinder bloßzustellen. ## Kategorie 3: FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "overview": "entwickle ein Klassenzimmer-Vokabel-Quiz im Team-Wettbewerbs-Modus",
            "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
            "category_number": 2,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Nachhilfelehrer und Lehrkräfte lockern Vokabelwiederholung durch einen spielerischen Klassenwettbewerb auf, das Teamformat motiviert auch zurückhaltendere Schüler ohne einzelne Kinder bloßzustellen. ## Kategorie 3: FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-421",
            "title": "erstelle eine Mathe-Formelsammlung-to-go interaktiv für die Sekundarstufe",
            "prompt_number": 421,
            "prompt": "erstelle eine Mathe-Formelsammlung-to-go interaktiv für die Sekundarstufe - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Formel-Datenbank kategorisiert Algebra/Geometrie/Funktionen/Stochastik nach Klassenstufe 5-10, Interaktiver Formel-Rechner Variablen eingeben Ergebnis live berechnen, Herleitungs-Schritte einklappbar pro Formel, Beispielaufgabe mit vollständigem Lösungsweg pro Formel, Verwandte-Formeln-Verlinkung als Themen-Netz (D3.js Force-Directed), Volltextsuche über Formelnamen und Anwendungsfälle, Lesezeichen-Sammlung häufig genutzter Formeln, Geometrie-Visualizer Fläche/Umfang/Volumen mit anpassbaren Maßen (ApexCharts), Einheiten-Umrechner-Zusatztool, Druckansicht als kompakte Formelsammlung fürs Etui, Dunkles augenschonendes Lese-Theme, GSAP Formel-Einblend-Animationen - USE CASE: Schüler schlagen Formeln während der Hausaufgaben sofort mit Rechenbeispiel nach statt im Schulbuch zu blättern, in Klassenarbeiten mit erlaubter Formelsammlung dient die Druckansicht als zugelassenes Hilfsmittel.",
            "overview": "erstelle eine Mathe-Formelsammlung-to-go interaktiv für die Sekundarstufe",
            "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "category_number": 3,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler schlagen Formeln während der Hausaufgaben sofort mit Rechenbeispiel nach statt im Schulbuch zu blättern, in Klassenarbeiten mit erlaubter Formelsammlung dient die Druckansicht als zugelassenes Hilfsmittel.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-422",
            "title": "entwickle eine Physik-Formelsammlung mit Experiment-Bezug",
            "prompt_number": 422,
            "prompt": "entwickle eine Physik-Formelsammlung mit Experiment-Bezug - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Datenbank Mechanik/Elektrik/Optik/Wärmelehre nach Klassenstufe, Interaktiver Rechner mit Einheitenkontrolle bei Variableneingabe, Verweis auf typisches Schulexperiment pro Formel als Merkhilfe, Diagramm-Vorschau wie sich Größen zueinander verhalten (ApexCharts), Herleitungs-Schritte einklappbar, Einheiten-Umrechner SI-Einheiten und gebräuchliche Alternativen, Formel-Netz Zusammenhänge zwischen Größen (D3.js), Beispielaufgabe mit Lösungsweg pro Formel, Suchfunktion nach Größe oder Formelname, Lesezeichen für Klassenarbeits-relevante Formeln, Druckansicht als Merkblatt, GSAP Formel-Highlight-Animationen - USE CASE: Schüler verstehen Formeln nicht nur auswendig sondern über den Bezug zum Experiment aus dem Unterricht, Nachhilfelehrer nutzen die App als visuelle Gedächtnisstütze zwischen Theorie und Praxisversuch.",
            "overview": "entwickle eine Physik-Formelsammlung mit Experiment-Bezug",
            "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "category_number": 3,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler verstehen Formeln nicht nur auswendig sondern über den Bezug zum Experiment aus dem Unterricht, Nachhilfelehrer nutzen die App als visuelle Gedächtnisstütze zwischen Theorie und Praxisversuch.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-423",
            "title": "programmiere einen interaktiven Chemie-Periodensystem-Explorer",
            "prompt_number": 423,
            "prompt": "programmiere einen interaktiven Chemie-Periodensystem-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiges Periodensystem als interaktives Raster mit Farbcodierung nach Elementgruppen, Klick auf Element zeigt Steckbrief Ordnungszahl/Masse/Elektronenkonfiguration/Reaktionsfreudigkeit, Elektronenschalen-Visualisierung pro Element (D3.js), Trend-Anzeige Elektronegativität/Atomradius über Perioden und Gruppen (ApexCharts Heatmap), Vergleichsmodus zwei Elemente nebeneinander, Quiz-Modus Element anhand Eigenschaften erraten, Häufige-Verbindungen-Liste pro Element mit Alltagsbezug, Suchfunktion nach Name/Symbol/Ordnungszahl, Klassenstufen-Filter reduzierte Ansicht für Unterstufe, Lesezeichen wichtiger Elemente für Klassenarbeit, Druckansicht Periodensystem als Merkblatt, GSAP Element-Detail-Einblend-Animationen - USE CASE: Schüler erkunden das Periodensystem spielerisch statt es nur auswendig zu lernen, der Vergleichsmodus hilft typische Klassenarbeitsfragen zu Gruppentrends zu verstehen.",
            "overview": "programmiere einen interaktiven Chemie-Periodensystem-Explorer",
            "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "category_number": 3,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler erkunden das Periodensystem spielerisch statt es nur auswendig zu lernen, der Vergleichsmodus hilft typische Klassenarbeitsfragen zu Gruppentrends zu verstehen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-424",
            "title": "baue einen Geometrie-Formel-Visualizer Flächen-und-Volumen",
            "prompt_number": 424,
            "prompt": "baue einen Geometrie-Formel-Visualizer Flächen-und-Volumen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formsammlung Dreieck/Kreis/Trapez/Quader/Zylinder/Kegel/Kugel nach Klassenstufe, Interaktive Schieberegler für Maße mit Live-Neuberechnung von Fläche/Umfang/Volumen, Visuelle Darstellung der Form mit eingezeichneten Maßen (D3.js SVG), Herleitungs-Erklärung warum die Formel so aussieht mit Zerlegungs-Animation, Übungsaufgaben-Generator zur jeweiligen Form mit Lösungsweg, Einheiten-Umrechner cm/m/mm integriert, Vergleichsmodus zwei Formen nebeneinander, Formel-Merkzettel druckbar, Fortschritts-Tracker welche Formen bereits gefestigt sind (ApexCharts Radial), Suchfunktion nach Formname, Dunkles Lese-Theme, GSAP Form-Zerlegungs-Animationen - USE CASE: Schüler verstehen räumliches Vorstellungsvermögen durch die visuelle Herleitung statt reines Formel-Auswendiglernen, die Schieberegler machen sofort sichtbar wie sich Volumen bei Maßänderung verhält.",
            "overview": "baue einen Geometrie-Formel-Visualizer Flächen-und-Volumen",
            "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "category_number": 3,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler verstehen räumliches Vorstellungsvermögen durch die visuelle Herleitung statt reines Formel-Auswendiglernen, die Schieberegler machen sofort sichtbar wie sich Volumen bei Maßänderung verhält.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-425",
            "title": "erstelle einen Universal-Einheiten-Umrechner für den Schulalltag",
            "prompt_number": 425,
            "prompt": "erstelle einen Universal-Einheiten-Umrechner für den Schulalltag - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorien Länge/Fläche/Volumen/Masse/Zeit/Geschwindigkeit/Temperatur nach Lehrplan-Relevanz, Live-Umrechnung bei Eingabe ohne Bestätigungs-Klick, Häufige-Schulaufgaben-Vorlagen km/h in m/s und ähnliche typische Klassenarbeitsumrechnungen, Rechenweg-Anzeige Zwischenschritte der Umrechnung, Merkhilfen-Kärtchen zu Vorsätzen Kilo/Milli/Zenti, Favoriten-Funktion häufig genutzte Umrechnungen anheften, Verlaufshistorie letzte Umrechnungen, Vergleichstabelle SI-Einheiten und gebräuchliche Alternativen, Offline-Nutzung als PWA für unterwegs, Große Bedienelemente auch für jüngere Schüler geeignet, Druckansicht Umrechnungstabellen, GSAP Zahlen-Umrechnungs-Animationen - USE CASE: Schüler prüfen Hausaufgaben-Ergebnisse schnell auf Plausibilität ohne Taschenrechner-Umweg, die Rechenweg-Anzeige hilft die Umrechnungslogik tatsächlich zu verstehen statt nur ein Ergebnis abzulesen.",
            "overview": "erstelle einen Universal-Einheiten-Umrechner für den Schulalltag",
            "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "category_number": 3,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler prüfen Hausaufgaben-Ergebnisse schnell auf Plausibilität ohne Taschenrechner-Umweg, die Rechenweg-Anzeige hilft die Umrechnungslogik tatsächlich zu verstehen statt nur ein Ergebnis abzulesen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-426",
            "title": "entwickle eine Chemie-Formelsammlung mit Stöchiometrie-Rechner",
            "prompt_number": 426,
            "prompt": "entwickle eine Chemie-Formelsammlung mit Stöchiometrie-Rechner - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Datenbank Stoffmenge/Molare-Masse/Konzentration/Reaktionsgleichungen nach Klassenstufe, Interaktiver Stöchiometrie-Rechner Eingabe zweier Größen berechnet die dritte automatisch, Reaktionsgleichungs-Ausgleicher mit Schritt-für-Schritt-Erklärung, Molmassen-Tabelle verknüpft mit Periodensystem-Werten, Beispielaufgabe mit vollständigem Lösungsweg pro Formeltyp, Einheiten-Kontrolle warnt bei Einheitenfehlern, Formel-Netz Zusammenhänge (D3.js), Suchfunktion nach Formelname oder Größe, Lesezeichen klausurrelevanter Formeln, Druckansicht als Merkblatt, Dunkles Lese-Theme, GSAP Rechenschritt-Animationen - USE CASE: Oberstufenschüler lösen Stöchiometrie-Aufgaben nachvollziehbar statt nur das Endergebnis einzugeben, die verknüpfte Molmassen-Tabelle erspart den Griff zum separaten Periodensystem.",
            "overview": "entwickle eine Chemie-Formelsammlung mit Stöchiometrie-Rechner",
            "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "category_number": 3,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Oberstufenschüler lösen Stöchiometrie-Aufgaben nachvollziehbar statt nur das Endergebnis einzugeben, die verknüpfte Molmassen-Tabelle erspart den Griff zum separaten Periodensystem.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-427",
            "title": "baue ein Mathe-Nachschlagewerk Ableitungen-und-Integrale für die Oberstufe",
            "prompt_number": 427,
            "prompt": "baue ein Mathe-Nachschlagewerk Ableitungen-und-Integrale für die Oberstufe - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ableitungsregeln-Katalog Potenz/Produkt/Ketten/Quotientenregel mit Beispielen, Integrationsregeln-Katalog Grundintegrale und partielle Integration, Interaktiver Funktionsgraph zeigt Funktion und Ableitung parallel (ApexCharts/D3.js), Schritt-für-Schritt-Löser bei eingegebener Funktion Ableitung anzeigen, Kurvendiskussion-Checkliste Extrempunkte/Wendepunkte/Monotonie, Anwendungsaufgaben-Beispiele Extremwertprobleme mit Lösungsweg, Formel-Suche nach Funktionstyp, Übungsgenerator einfache Ableitungsaufgaben mit Sofort-Prüfung, Lesezeichen abiturrelevanter Regeln, Druckansicht als Abitur-Merkblatt, Dunkles Lese-Theme für Lernabende, GSAP Funktionsgraph-Zeichen-Animationen - USE CASE: Oberstufenschüler bereiten sich mit visualisierter Kurvendiskussion auf Analysis-Klausuren vor, die parallele Graph-Ansicht macht den Zusammenhang zwischen Funktion und Ableitung intuitiv verständlich.",
            "overview": "baue ein Mathe-Nachschlagewerk Ableitungen-und-Integrale für die Oberstufe",
            "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "category_number": 3,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Oberstufenschüler bereiten sich mit visualisierter Kurvendiskussion auf Analysis-Klausuren vor, die parallele Graph-Ansicht macht den Zusammenhang zwischen Funktion und Ableitung intuitiv verständlich.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-428",
            "title": "programmiere ein Physik-Nachschlagewerk Elektrizitätslehre-Rechner",
            "prompt_number": 428,
            "prompt": "programmiere ein Physik-Nachschlagewerk Elektrizitätslehre-Rechner - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Katalog Ohmsches-Gesetz/Leistung/Reihen-und-Parallelschaltung nach Klassenstufe, Interaktiver Schaltkreis-Rechner Widerstand/Spannung/Stromstärke gegenseitig berechenbar, Schaltplan-Visualisierung einfacher Stromkreise (D3.js SVG), Gesamtwiderstands-Rechner für mehrere Widerstände in Reihe oder parallel, Beispielaufgabe mit Lösungsweg pro Formeltyp, Einheiten-Kontrolle Ampere/Volt/Ohm, Formel-Netz Zusammenhänge zwischen elektrischen Größen (D3.js), Suchfunktion nach Formel oder Größe, Lesezeichen klassenarbeitsrelevanter Formeln, Druckansicht als Merkblatt, Dunkles Lese-Theme, GSAP Schaltkreis-Stromfluss-Animationen - USE CASE: Schüler berechnen Schaltkreis-Aufgaben nachvollziehbar mit visueller Schaltplan-Unterstützung, das Nachschlagewerk dient als schnelle Kontrolle bei Hausaufgaben zur Elektrizitätslehre.",
            "overview": "programmiere ein Physik-Nachschlagewerk Elektrizitätslehre-Rechner",
            "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "category_number": 3,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler berechnen Schaltkreis-Aufgaben nachvollziehbar mit visueller Schaltplan-Unterstützung, das Nachschlagewerk dient als schnelle Kontrolle bei Hausaufgaben zur Elektrizitätslehre.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-429",
            "title": "erstelle ein Biologie-Fachbegriffs-Lexikon interaktiv",
            "prompt_number": 429,
            "prompt": "erstelle ein Biologie-Fachbegriffs-Lexikon interaktiv - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbares Lexikon Fachbegriffe nach Themenbereich Zellbiologie/Genetik/Ökologie/Anatomie, Begriffs-Erklärung in einfacher Sprache mit Fachbegriff-Definition parallel, Verwandte-Begriffe-Verlinkung als Themen-Netz (D3.js Force-Directed), Bildkarten-Diagramme zu komplexen Prozessen Fotosynthese/Zellteilung, Quiz-Modus Begriff der Definition zuordnen, Klassenstufen-Filter reduzierter Wortschatz für Unterstufe, Lesezeichen für Klassenarbeits-relevante Begriffe, Fortschritts-Tracker gelernte Begriffe (ApexCharts Radial), Suchfunktion mit Autovervollständigung, Druckansicht als Glossar, Dunkles Lese-Theme, GSAP Begriffs-Netz-Animationen - USE CASE: Schüler schlagen unbekannte Fachbegriffe aus dem Biologieunterricht sofort verständlich nach, das Begriffs-Netz zeigt Zusammenhänge die im Schulbuch oft isoliert dargestellt werden.",
            "overview": "erstelle ein Biologie-Fachbegriffs-Lexikon interaktiv",
            "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "category_number": 3,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler schlagen unbekannte Fachbegriffe aus dem Biologieunterricht sofort verständlich nach, das Begriffs-Netz zeigt Zusammenhänge die im Schulbuch oft isoliert dargestellt werden.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-430",
            "title": "entwickle ein Mathe-Nachschlagewerk Dreisatz-und-Prozentrechnung für die Unterstufe",
            "prompt_number": 430,
            "prompt": "entwickle ein Mathe-Nachschlagewerk Dreisatz-und-Prozentrechnung für die Unterstufe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erklär-Sektionen proportionaler und umgekehrt proportionaler Dreisatz mit Alltagsbeispielen, Prozentrechnung-Grundformen Grundwert/Prozentsatz/Prozentwert interaktiv berechenbar, Schritt-für-Schritt-Rechenweg-Anzeige bei jeder Aufgabe, Alltagsbeispiele Rabatt/Zinsen/Mischungsverhältnis zur Veranschaulichung, Übungsgenerator mit Sofort-Prüfung nach Schwierigkeitsgrad, Fehleranalyse häufigster Rechenfehler (ApexCharts Balken), Visualisierung Kreisdiagramm für Prozentanteile (ApexCharts Donut), Merksätze-Kärtchen zu Signalwörtern in Textaufgaben, Fortschritts-Tracker über Übungseinheiten, Druckansicht als Merkblatt für Klassenarbeiten, Große kindgerechte Bedienelemente, GSAP Rechenschritt-Animationen - USE CASE: Schüler der 5. und 6. Klasse verstehen Dreisatz und Prozentrechnung über konkrete Alltagsbeispiele statt abstrakter Formeln, Eltern ohne Lehrerausbildung können mit den Erklär-Sektionen selbst beim Üben helfen. ## Kategorie 4: HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "overview": "entwickle ein Mathe-Nachschlagewerk Dreisatz-und-Prozentrechnung für die Unterstufe",
            "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
            "category_number": 3,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler der 5. und 6. Klasse verstehen Dreisatz und Prozentrechnung über konkrete Alltagsbeispiele statt abstrakter Formeln, Eltern ohne Lehrerausbildung können mit den Erklär-Sektionen selbst beim Üben helfen. ## Kategorie 4: HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-431",
            "title": "erstelle einen Hausaufgaben-Tracker für Schüler pro Fach",
            "prompt_number": 431,
            "prompt": "erstelle einen Hausaufgaben-Tracker für Schüler pro Fach - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fächerliste mit Farbcodierung und Aufgaben-Eintrag pro Fach, Fälligkeitsdatum mit Erinnerungs-Countdown, Aufgaben-Kategorien schriftlich/mündlich/Vorbereitung, Erledigt-Abhaken mit Fortschrittsbalken pro Tag, Wochenübersicht als Kalenderansicht, Zeitaufwand-Schätzung vs tatsächliche Zeit pro Aufgabe (ApexCharts Balken), Wiederkehrende-Aufgaben-Vorlage für Vokabellernen, Prioritäten-Kennzeichnung dringend/normal, Eltern-Ansicht erledigt/offen ohne Detaileinsicht in Inhalte, Statistik erledigte Aufgaben pro Fach über Wochen (D3.js Linie), Offline-Nutzung als installierbare PWA, GSAP Abhak-Animationen - USE CASE: Schüler behalten bei mehreren Fächern gleichzeitig den Überblick über offene Hausaufgaben, Eltern sehen auf einen Blick ob Aufgaben erledigt sind ohne in jedes Schulheft schauen zu müssen.",
            "overview": "erstelle einen Hausaufgaben-Tracker für Schüler pro Fach",
            "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "category_number": 4,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler behalten bei mehreren Fächern gleichzeitig den Überblick über offene Hausaufgaben, Eltern sehen auf einen Blick ob Aufgaben erledigt sind ohne in jedes Schulheft schauen zu müssen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-432",
            "title": "entwickle eine Stundenplan-App mit Fächerfarben für Schüler",
            "prompt_number": 432,
            "prompt": "entwickle eine Stundenplan-App mit Fächerfarben für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochenraster-Stundenplan mit frei wählbaren Fächerfarben, Raum- und Lehrer-Kürzel-Eintrag pro Stunde, Vertretungsplan-Hinweis-Eintrag manuell bei Änderungen, Fächer-übergreifende-Materialliste was muss mitgebracht werden, Tagesansicht für unterwegs mit nächster-Stunde-Anzeige, Statistik Unterrichtsstunden pro Fach pro Woche (ApexCharts Donut), AG-und-Nachmittagsangebote-Sektion separat eintragbar, Ferienkalender-Integration mit Countdown, Export Stundenplan als druckbare Übersicht, Wiederholungs-Vorlage für neues Schulhalbjahr, Offline-Nutzung als PWA, GSAP Stunden-Wechsel-Hervorhebungs-Animationen - USE CASE: Schüler behalten bei wechselnden Räumen und Vertretungsstunden den Überblick über den aktuellen Tag, die Materialliste verhindert vergessene Schulbücher am Morgen.",
            "overview": "entwickle eine Stundenplan-App mit Fächerfarben für Schüler",
            "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "category_number": 4,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler behalten bei wechselnden Räumen und Vertretungsstunden den Überblick über den aktuellen Tag, die Materialliste verhindert vergessene Schulbücher am Morgen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-433",
            "title": "programmiere einen Lernplan-Generator rund um Klausurtermine",
            "prompt_number": 433,
            "prompt": "programmiere einen Lernplan-Generator rund um Klausurtermine - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe kommender Klausurtermine mit Fach und Themenumfang, Automatische Rückwärtsplanung Lerneinheiten bis zum Prüfungstag, Spaced-Repetition-Prinzip Themen mehrfach mit Abstand wiederholen statt Bulimie-Lernen, Tages-Lernpaket-Vorschlag mit realistischem Zeitumfang, Kalenderansicht aller anstehenden Klausuren fächerübergreifend, Pufferzeiten-Einplanung für Krankheit oder Verzögerung, Fortschritts-Tracking gegen Plan-Soll (ApexCharts Balken), Überlastungs-Warnung bei zu vielen Klausuren in kurzer Zeit, Anpassungs-Funktion bei verschobenen Terminen, Motivations-Countdown pro Klausur, Export Lernplan als PDF fürs Kinderzimmer, GSAP Zeitleisten-Aufbau-Animationen - USE CASE: Schüler vermeiden Last-Minute-Stress durch frühzeitig verteilte Lerneinheiten statt Nacht-vor-der-Klausur-Pauken, Eltern erkennen anhand der Überlastungs-Warnung wenn zu viele Klausuren in einer Woche zusammenfallen.",
            "overview": "programmiere einen Lernplan-Generator rund um Klausurtermine",
            "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "category_number": 4,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler vermeiden Last-Minute-Stress durch frühzeitig verteilte Lerneinheiten statt Nacht-vor-der-Klausur-Pauken, Eltern erkennen anhand der Überlastungs-Warnung wenn zu viele Klausuren in einer Woche zusammenfallen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-434",
            "title": "baue ein Fach-Zeit-Balance-Dashboard für die Lernzeit-Verteilung",
            "prompt_number": 434,
            "prompt": "baue ein Fach-Zeit-Balance-Dashboard für die Lernzeit-Verteilung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeiterfassung pro Fach über Stoppuhr oder manuelle Eingabe, Wochenübersicht Lernzeit-Verteilung nach Fach (ApexCharts Stacked Bar), Soll-Ist-Vergleich geplante vs tatsächlich investierte Zeit, Vernachlässigte-Fächer-Warnung bei sehr ungleicher Verteilung, Notentrend-Verknüpfung zeigt ob mehr Zeit sich in besseren Noten niederschlägt (D3.js Streudiagramm), Pausenzeiten-Empfehlung nach Pomodoro-Prinzip eingebaut, Tagesrückblick was wurde heute gelernt, Wochenvergleich über mehrere Wochen (ApexCharts Linie), Ziel-Vorgabe Minuten pro Fach pro Woche, Motivations-Badges bei erreichten Zielen, Offline-Nutzung als PWA, GSAP Balken-Update-Animationen - USE CASE: Schüler erkennen objektiv ob ein schwaches Fach tatsächlich zu wenig Lernzeit bekommt, Eltern führen datenbasierte statt gefühlsbasierte Gespräche über die Zeitverteilung beim Lernen.",
            "overview": "baue ein Fach-Zeit-Balance-Dashboard für die Lernzeit-Verteilung",
            "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "category_number": 4,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler erkennen objektiv ob ein schwaches Fach tatsächlich zu wenig Lernzeit bekommt, Eltern führen datenbasierte statt gefühlsbasierte Gespräche über die Zeitverteilung beim Lernen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-435",
            "title": "erstelle einen Wochenrückblick-Lernorganizer für Schüler",
            "prompt_number": 435,
            "prompt": "erstelle einen Wochenrückblick-Lernorganizer für Schüler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wöchentliche Reflexions-Vorlage was lief gut/was war schwierig pro Fach, Erledigte-Aufgaben-Rückblick automatisch aus Hausaufgaben-Tracker übernommen, Notenverlauf-Eintrag mit Selbsteinschätzung vor der nächsten Arbeit, Stimmungs-Tracker einfache Symbol-Auswahl wie fühlte sich die Woche an, Ziel-Setzung für die kommende Woche pro Fach, Fortschritts-Vergleich über mehrere Wochen (ApexCharts Linie), Erfolgs-Sammlung kleine Erfolge werden gesammelt und sichtbar gemacht, Elternteilbare-Zusammenfassung optional freigebbar, Erinnerungs-Funktion sonntags Rückblick auszufüllen, Export Wochenrückblick als PDF, Kindgerechte Symbolsprache statt reiner Textfelder, GSAP Wochenkarten-Umblätter-Animationen - USE CASE: Schüler entwickeln durch regelmäßige Selbstreflexion ein besseres Gefühl für den eigenen Lernfortschritt, die Stimmungs-Tracking-Komponente hilft auch emotionale Belastung durch Schulstress früh sichtbar zu machen.",
            "overview": "erstelle einen Wochenrückblick-Lernorganizer für Schüler",
            "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "category_number": 4,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler entwickeln durch regelmäßige Selbstreflexion ein besseres Gefühl für den eigenen Lernfortschritt, die Stimmungs-Tracking-Komponente hilft auch emotionale Belastung durch Schulstress früh sichtbar zu machen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-436",
            "title": "entwickle einen Klausurenplan-Kalender mit Countdown-Anzeige",
            "prompt_number": 436,
            "prompt": "entwickle einen Klausurenplan-Kalender mit Countdown-Anzeige - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kalenderansicht aller Klausuren und Tests im Schulhalbjahr, Countdown-Kacheln pro anstehender Prüfung mit verbleibenden Tagen, Themen-Notiz-Feld pro Klausur was wird geprüft, Klausurdichte-Warnung bei mehreren Prüfungen in derselben Woche, Verknüpfung zum Lernplan-Generator für automatische Vorbereitung, Notenrückmeldung nach der Klausur zur Nachverfolgung (ApexCharts Linie), Fächerübergreifende Ansicht Ampel-Farben je nach Nähe des Termins, Halbjahres-Übersicht alle Klausurtermine auf einen Blick, Export als druckbarer Kalender fürs Zimmer, Erinnerungs-Push-Mockup einen Tag vorher, Feiertags-und-Ferien-Integration, GSAP Countdown-Ablauf-Animationen - USE CASE: Schüler verlieren bei vielen Fächern nicht den Überblick über anstehende Klassenarbeiten, die Klausurdichte-Warnung hilft frühzeitig zu erkennen wenn eine Woche besonders anstrengend wird.",
            "overview": "entwickle einen Klausurenplan-Kalender mit Countdown-Anzeige",
            "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "category_number": 4,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler verlieren bei vielen Fächern nicht den Überblick über anstehende Klassenarbeiten, die Klausurdichte-Warnung hilft frühzeitig zu erkennen wenn eine Woche besonders anstrengend wird.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-437",
            "title": "baue ein digitales Hausaufgabenheft mit Eltern-Einsicht",
            "prompt_number": 437,
            "prompt": "baue ein digitales Hausaufgabenheft mit Eltern-Einsicht - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tägliche Hausaufgaben-Einträge pro Fach wie im klassischen Hausaufgabenheft, Unterschrift-Simulation Eltern bestätigen digital Kenntnisnahme statt Papierunterschrift, Erledigt-Status mit Zeitstempel, Foto-Platzhalter-Hinweis bewusst ohne echten Foto-Upload zum Schutz der Privatsphäre, Wochenübersicht kompakt für schnellen Elternblick, Vergessene-Aufgaben-Historie zur Selbstreflexion, Statistik erledigte vs vergessene Aufgaben (ApexCharts Balken), Erinnerungsfunktion für wiederkehrende Aufgaben, Export als PDF für Elterngespräche, Mehrkind-Umschaltung getrennte Profile ohne Klarnamen nur Vornamen-Kürzel, Offline-Nutzung als PWA, GSAP Tagesabschluss-Animationen - USE CASE: Familien mit Grundschulkindern digitalisieren das klassische Hausaufgabenheft ohne die gewohnte Eltern-Kontrollfunktion zu verlieren, Lehrkräfte können bei Bedarf denselben Überblick über Erledigungsquoten nutzen.",
            "overview": "baue ein digitales Hausaufgabenheft mit Eltern-Einsicht",
            "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "category_number": 4,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Familien mit Grundschulkindern digitalisieren das klassische Hausaufgabenheft ohne die gewohnte Eltern-Kontrollfunktion zu verlieren, Lehrkräfte können bei Bedarf denselben Überblick über Erledigungsquoten nutzen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-438",
            "title": "programmiere einen Referats-und-Projektplaner für die Schule",
            "prompt_number": 438,
            "prompt": "programmiere einen Referats-und-Projektplaner für die Schule - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Projekt-Anlage mit Thema/Fach/Abgabetermin, Meilenstein-Planer Recherche/Gliederung/Ausarbeitung/Probevortrag mit Teilfristen, Quellen-Sammlung mit einfacher Zitationsvorlage, Foliengliederungs-Vorlage für Präsentationen, Fortschrittsbalken pro Meilenstein (ApexCharts Radial), Probevortrag-Timer mit Zeitlimit-Kontrolle, Feedback-Notizen nach Probevortrag von Eltern oder Nachhilfelehrer, Checkliste Materialien für den Vortragstag, Gruppenarbeit-Modus Aufgabenverteilung bei Partnerreferaten, Erinnerungs-Countdown bis zur Abgabe, Export Gliederung als PDF, GSAP Meilenstein-Fortschritts-Animationen - USE CASE: Schüler strukturieren größere Referate und Projektarbeiten in überschaubare Etappen statt alles kurz vorher zu erledigen, der Probevortrag-Timer hilft die vorgegebene Redezeit realistisch einzuschätzen.",
            "overview": "programmiere einen Referats-und-Projektplaner für die Schule",
            "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "category_number": 4,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler strukturieren größere Referate und Projektarbeiten in überschaubare Etappen statt alles kurz vorher zu erledigen, der Probevortrag-Timer hilft die vorgegebene Redezeit realistisch einzuschätzen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-439",
            "title": "erstelle einen Lernplan-Generator für Nachprüfung-und-Nachschreibetermin",
            "prompt_number": 439,
            "prompt": "erstelle einen Lernplan-Generator für Nachprüfung-und-Nachschreibetermin - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe des Nachschreibetermins und der verpassten Themenbereiche, Intensiv-Lernplan mit täglichen Etappen bis zum Termin, Prioritäten-Sortierung schwierigste Themen zuerst bei mehr Zeitpuffer, Verknüpfung zu passenden Übungstests aus der Testbibliothek, Stress-Reduktions-Hinweise bei besonders kurzer Vorbereitungszeit, Fortschritts-Tracking gegen Plan-Soll (ApexCharts Balken), Themen-Checkliste zum Abhaken, Elternhinweis-Sektion wie unterstützend statt zusätzlich Druck aufgebaut werden kann, Motivations-Countdown, Export Lernplan als PDF, Erinnerungsfunktion für Lerneinheiten, GSAP Zeitplan-Kompressions-Animationen - USE CASE: Schüler nach Krankheit oder verpasster Klassenarbeit organisieren die Nachholphase strukturiert statt überfordert zu sein, Nachhilfelehrer erstellen in kurzer Zeit einen realistischen Intensivplan für die verbleibenden Tage.",
            "overview": "erstelle einen Lernplan-Generator für Nachprüfung-und-Nachschreibetermin",
            "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "category_number": 4,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler nach Krankheit oder verpasster Klassenarbeit organisieren die Nachholphase strukturiert statt überfordert zu sein, Nachhilfelehrer erstellen in kurzer Zeit einen realistischen Intensivplan für die verbleibenden Tage.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-440",
            "title": "entwickle eine Multi-Fach-Prioritäten-Matrix für Schüler-Lernorganisation",
            "prompt_number": 440,
            "prompt": "entwickle eine Multi-Fach-Prioritäten-Matrix für Schüler-Lernorganisation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Eisenhower-Matrix-Prinzip angepasst für Schulaufgaben dringend/wichtig in vier Quadranten, Drag-and-Drop-Einordnung von Aufgaben in die Matrix, Automatische Vorsortierung nach Fälligkeitsdatum als Vorschlag, Tagesplan-Ableitung aus der Matrix was wird heute zuerst erledigt, Fächer-Farbcodierung innerhalb der Matrix, Wochenrückblick wie viele wichtige Aufgaben rechtzeitig erledigt wurden (ApexCharts Balken), Überforderungs-Warnung zu viele dringend-wichtige Aufgaben gleichzeitig, Erklär-Tutorial für Schüler was die Matrix bedeutet mit Beispielen, Erinnerungsfunktion für liegengebliebene wichtige Aufgaben, Export Tagesplan als Checkliste, Kindgerechte Vereinfachung für jüngere Nutzer, GSAP Quadranten-Verschiebungs-Animationen - USE CASE: Ältere Schüler lernen frühzeitig eine Priorisierungsmethode die auch später im Studium und Beruf nützlich bleibt, Nachhilfelehrer nutzen die Matrix um Schülern bei Prokrastination sichtbar zu machen was wirklich zuerst dran ist. ## Kategorie 5: PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "overview": "entwickle eine Multi-Fach-Prioritäten-Matrix für Schüler-Lernorganisation",
            "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
            "category_number": 4,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Ältere Schüler lernen frühzeitig eine Priorisierungsmethode die auch später im Studium und Beruf nützlich bleibt, Nachhilfelehrer nutzen die Matrix um Schülern bei Prokrastination sichtbar zu machen was wirklich zuerst dran ist. ## Kategorie 5: PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-441",
            "title": "erstelle eine Prüfungsangst-Atemübungs-App für vor der Klausur",
            "prompt_number": 441,
            "prompt": "erstelle eine Prüfungsangst-Atemübungs-App für vor der Klausur - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Geführte Atemübungen 4-7-8-Technik und Box-Breathing mit visueller Kreis-Animation, Countdown-Timer bis Klausurbeginn mit letzter-Minute-Beruhigungsübung, Kurzentspannungs-Sequenzen 2/5/10-Minuten wählbar je nach verfügbarer Zeit, Körperscan-Anleitung zur Anspannungs-Lockerung vor der Prüfung, Positive-Affirmationen-Karten alters- und situationsgerecht formuliert, Herzfrequenz-Beruhigungs-Visualisierung Mock ohne echte Sensorik, Stimmungs-Check vorher-nachher mit einfacher Skala, Verlaufsstatistik genutzte Übungen über Zeit (ApexCharts Balken), Offline-Nutzung ohne Internet direkt vor der Klausur im Klassenzimmer, Keine Datenerhebung außer lokal gespeicherter Stimmungswerte, Erinnerungsfunktion am Klausurtag, GSAP Atem-Kreis-Animationen - USE CASE: Schüler mit Prüfungsangst nutzen die App in den letzten Minuten vor einer Klausur zur akuten Beruhigung, Nachhilfelehrer empfehlen die Übungen als niedrigschwelligen Einstieg in Entspannungstechniken ohne therapeutischen Anspruch.",
            "overview": "erstelle eine Prüfungsangst-Atemübungs-App für vor der Klausur",
            "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "category_number": 5,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler mit Prüfungsangst nutzen die App in den letzten Minuten vor einer Klausur zur akuten Beruhigung, Nachhilfelehrer empfehlen die Übungen als niedrigschwelligen Einstieg in Entspannungstechniken ohne therapeutischen Anspruch.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-442",
            "title": "entwickle einen Pomodoro-Lerntimer speziell für Schüler",
            "prompt_number": 442,
            "prompt": "entwickle einen Pomodoro-Lerntimer speziell für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassisches Pomodoro-Prinzip 25-Minuten-Lernblöcke mit 5-Minuten-Pausen kindgerecht erklärt, Anpassbare Intervalllängen je nach Alter und Konzentrationsfähigkeit, Fach-Zuordnung pro Pomodoro-Block, Pausenaktivitäts-Vorschläge Bewegung statt Bildschirmzeit, Tagesstatistik abgeschlossene Lernblöcke pro Fach (ApexCharts Balken), Fokus-Modus blendet Ablenkungshinweise ein bei zu häufigem Abbrechen, Belohnungs-System kleine Erfolge nach X abgeschlossenen Blöcken, Wochenübersicht Lernblöcke im Verlauf (D3.js Kalender-Heatmap), Sanfter Ton statt schrillem Alarm zum Pausenende, Offline-Nutzung als PWA, Erklär-Tutorial für Eltern und Schüler zur Methode, GSAP Timer-Fortschritts-Animationen - USE CASE: Schüler mit Konzentrationsschwierigkeiten strukturieren Lernzeit in überschaubare Etappen statt endloser unstrukturierter Lernabende, die kindgerechte Erklärung macht die Methode auch für Grundschüler zugänglich.",
            "overview": "entwickle einen Pomodoro-Lerntimer speziell für Schüler",
            "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "category_number": 5,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler mit Konzentrationsschwierigkeiten strukturieren Lernzeit in überschaubare Etappen statt endloser unstrukturierter Lernabende, die kindgerechte Erklärung macht die Methode auch für Grundschüler zugänglich.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-443",
            "title": "programmiere einen Active-Recall-und-Spaced-Repetition-Coach",
            "prompt_number": 443,
            "prompt": "programmiere einen Active-Recall-und-Spaced-Repetition-Coach - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Erklär-Modul was Active Recall ist mit einfachen Schul-Beispielen, Selbsttest-Generator eigene Lernkarten statt reines Wiederlesen von Notizen, Spaced-Repetition-Kalender zeigt wann welches Thema wiederholt werden sollte, Vergleichs-Demo Wiederlesen vs aktives Abfragen mit simulierten Ergebnissen, Eigene-Themenkarten-Erstellung fächerübergreifend, Fälligkeits-Übersicht wie im Vokabeltrainer aber für beliebige Lerninhalte, Erfolgs-Statistik wie sich Erinnerungsquote über Wiederholungen verbessert (ApexCharts Linie), Lerntechnik-Bibliothek weitere Methoden kurz erklärt, Motivations-Hinweise warum Pauken am Vorabend weniger effektiv ist, Offline-Nutzung als PWA, Kindgerechte Sprache in Erklärungen, GSAP Erinnerungskurven-Animationen - USE CASE: Schüler lernen eine wissenschaftlich fundierte Lerntechnik kennen statt nur wiederholt Texte durchzulesen, Nachhilfelehrer vermitteln damit eine Methode die über die aktuelle Klassenarbeit hinaus für die gesamte Schulzeit nützlich bleibt.",
            "overview": "programmiere einen Active-Recall-und-Spaced-Repetition-Coach",
            "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "category_number": 5,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler lernen eine wissenschaftlich fundierte Lerntechnik kennen statt nur wiederholt Texte durchzulesen, Nachhilfelehrer vermitteln damit eine Methode die über die aktuelle Klassenarbeit hinaus für die gesamte Schulzeit nützlich bleibt.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-444",
            "title": "baue ein Mindmapping-Tool für Schüler zur Lernstoff-Visualisierung",
            "prompt_number": 444,
            "prompt": "baue ein Mindmapping-Tool für Schüler zur Lernstoff-Visualisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale-Themen-Erstellung mit frei verschiebbaren Ästen und Unterästen, Farbcodierung nach Fach oder Themenbereich, Bild-Symbol-Einfügung als Merkhilfe pro Ast, Vorlagen-Bibliothek fertige Mindmap-Strukturen für typische Schulthemen, Verknüpfungs-Linien zwischen entfernten Ästen für Querverbindungen, Export als Bild für Klausurvorbereitung zum Ausdrucken, Zoombare Ansicht bei großen Mindmaps (D3.js Zoom), Zusammenarbeits-Hinweis-Mockup für Gruppenarbeiten, Undo-Redo-Funktion, Automatisches Speichern während der Bearbeitung, Anfänger-Tutorial wie man eine gute Mindmap aufbaut, GSAP Ast-Erscheinungs-Animationen - USE CASE: Schüler strukturieren komplexe Themen wie Geschichtsepochen oder biologische Zusammenhänge visuell statt in linearen Textnotizen, das Werkzeug eignet sich besonders für visuelle Lerntypen die mit reinen Textzusammenfassungen wenig anfangen können.",
            "overview": "baue ein Mindmapping-Tool für Schüler zur Lernstoff-Visualisierung",
            "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "category_number": 5,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler strukturieren komplexe Themen wie Geschichtsepochen oder biologische Zusammenhänge visuell statt in linearen Textnotizen, das Werkzeug eignet sich besonders für visuelle Lerntypen die mit reinen Textzusammenfassungen wenig anfangen können.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-445",
            "title": "erstelle einen Motivations-Tracker mit Belohnungssystem für Lernziele",
            "prompt_number": 445,
            "prompt": "erstelle einen Motivations-Tracker mit Belohnungssystem für Lernziele - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eigene Lernziele definieren mit realistischem Zeitrahmen, Fortschritts-Balken pro Ziel mit Teilschritten, Sammel-Punkte-System für erledigte Lerneinheiten statt Geldwert-Belohnungen, Abzeichen-Galerie freischaltbare Symbole bei Meilensteinen, Streak-Anzeige aufeinanderfolgende Lerntage, Selbstgewählte-Belohnungen eintragbar z.B. Freizeitaktivität statt vorgegebener Konsum-Anreize, Wochenrückblick erreichte vs verpasste Ziele (ApexCharts Balken), Rückschlags-freundliche Sprache bei verpassten Zielen ohne Bestrafungslogik, Eltern-Einsicht optional zum gemeinsamen Feiern von Erfolgen, Erinnerungsfunktion für gesetzte Ziele, Altersgerechtes buntes aber nicht überreizendes Design, GSAP Abzeichen-Freischalt-Animationen - USE CASE: Schüler bleiben über längere Zeiträume wie ein ganzes Schulhalbjahr motiviert an selbstgesetzten Lernzielen dran, das punktebasierte statt geldbasierte System fördert intrinsische Motivation ohne Konsumdruck.",
            "overview": "erstelle einen Motivations-Tracker mit Belohnungssystem für Lernziele",
            "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "category_number": 5,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler bleiben über längere Zeiträume wie ein ganzes Schulhalbjahr motiviert an selbstgesetzten Lernzielen dran, das punktebasierte statt geldbasierte System fördert intrinsische Motivation ohne Konsumdruck.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-446",
            "title": "entwickle eine Entspannungs-und-Achtsamkeits-App vor Prüfungen",
            "prompt_number": 446,
            "prompt": "entwickle eine Entspannungs-und-Achtsamkeits-App vor Prüfungen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurze geführte Achtsamkeitsübungen 3-5 Minuten altersgerecht formuliert, Progressive-Muskelentspannung-Anleitung Schritt für Schritt, Visualisierungs-Übung sicherer-Ort-Vorstellung vor stressigen Situationen, Gedanken-Stopp-Technik-Anleitung bei Grübelschleifen vor der Klausur, Tages-Stimmungs-Tagebuch mit einfachen Emoji-Symbolen, Sanfte Hintergrundklänge-Auswahl Natur/Stille, Verlaufsstatistik genutzte Übungen und Stimmungstrend (ApexCharts Linie), Eltern-Info-Sektion Anzeichen von echtem Prüfungsangst-Leidensdruck erkennen mit Hinweis auf professionelle Hilfe, Keine Registrierung nötig komplett lokal gespeichert, Offline-Nutzung im Klassenzimmer, Ruhiges nicht-reizüberflutendes Design, GSAP sanfte Übergangs-Animationen - USE CASE: Schüler bauen mit kurzen täglichen Übungen allgemeine Stressresilienz auf statt nur akut vor der Klausur zu reagieren, die Eltern-Info-Sektion hilft ernsthafte Angstsymptome von normaler Prüfungsnervosität zu unterscheiden.",
            "overview": "entwickle eine Entspannungs-und-Achtsamkeits-App vor Prüfungen",
            "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "category_number": 5,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler bauen mit kurzen täglichen Übungen allgemeine Stressresilienz auf statt nur akut vor der Klausur zu reagieren, die Eltern-Info-Sektion hilft ernsthafte Angstsymptome von normaler Prüfungsnervosität zu unterscheiden.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-447",
            "title": "programmiere einen interaktiven Lerntechniken-Explainer für Schüler",
            "prompt_number": 447,
            "prompt": "programmiere einen interaktiven Lerntechniken-Explainer für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Methoden-Bibliothek Cornell-Methode/Loci-Methode/Karteikasten/Mindmapping/Pomodoro mit kurzen Erklärvideos-Platzhaltern, Interaktives Ausprobieren jeder Methode an einem Beispielthema direkt in der App, Eignungs-Test welche Methode passt zu meinem Lerntyp mit Auswertung, Vergleichstabelle Vor-und-Nachteile pro Methode, Schritt-für-Schritt-Anleitungen mit Beispielen aus echten Schulfächern, Erfolgsgeschichten-Sektion wie andere Schüler die Methode nutzen, Fortschritts-Tracker welche Methoden bereits ausprobiert wurden (ApexCharts Radial), Quiz zum Verständnis-Check nach jeder Methode, Empfehlungs-Kombination mehrere Methoden sinnvoll kombinieren, Druckversion Methoden-Spickzettel, GSAP Methoden-Karten-Umblätter-Animationen - USE CASE: Schüler entdecken durch praktisches Ausprobieren welche Lerntechnik tatsächlich zu ihnen passt statt nur davon zu hören, Nachhilfelehrer nutzen die App als strukturierte Einführung in Lernstrategien zu Beginn der Zusammenarbeit.",
            "overview": "programmiere einen interaktiven Lerntechniken-Explainer für Schüler",
            "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "category_number": 5,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler entdecken durch praktisches Ausprobieren welche Lerntechnik tatsächlich zu ihnen passt statt nur davon zu hören, Nachhilfelehrer nutzen die App als strukturierte Einführung in Lernstrategien zu Beginn der Zusammenarbeit.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-448",
            "title": "baue eine Prüfungssimulation mit Stressbewältigungs-Feedback",
            "prompt_number": 448,
            "prompt": "baue eine Prüfungssimulation mit Stressbewältigungs-Feedback - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Realistische Klausur-Simulation mit Zeitdruck und typischer Prüfungsatmosphäre-Beschreibung, Vor-der-Simulation-Atemübung zur Einstimmung, Stimmungs-Check vor und nach der Simulation, Selbsteinschätzungs-Fragebogen wie sicher fühlte sich der Schüler während der Bearbeitung, Verzögerungs-Erkennung bei welchen Aufgabentypen entsteht Stress-Zeitverlust, Nachbesprechungs-Modul was lief gut/was war stressig mit konkreten Tipps, Wiederholungs-Simulationen zum Vergleich der Stress-Entwicklung über Zeit (ApexCharts Linie), Ruhepausen-Simulation eingebaute kurze Verschnaufpause während längerer Tests, Positive-Verstärkung nach erfolgreicher Bewältigung, Elternhinweis nur bei wiederholt sehr hohem Stresslevel sichtbar, Keine echten Noten nur Übungscharakter betont, GSAP Simulations-Umgebungs-Animationen - USE CASE: Schüler mit ausgeprägter Prüfungsangst gewöhnen sich schrittweise an die Prüfungssituation in einem sicheren Rahmen, Nachhilfelehrer erkennen anhand der Verzögerungs-Erkennung welche Aufgabentypen besonders Stress auslösen.",
            "overview": "baue eine Prüfungssimulation mit Stressbewältigungs-Feedback",
            "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "category_number": 5,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler mit ausgeprägter Prüfungsangst gewöhnen sich schrittweise an die Prüfungssituation in einem sicheren Rahmen, Nachhilfelehrer erkennen anhand der Verzögerungs-Erkennung welche Aufgabentypen besonders Stress auslösen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-449",
            "title": "erstelle einen Konzentrations-Trainer mit Fokus-Übungen für Schüler",
            "prompt_number": 449,
            "prompt": "erstelle einen Konzentrations-Trainer mit Fokus-Übungen für Schüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze Konzentrationsspiele Zahlen-Merken/Muster-Erkennen/Reaktionstest altersgerecht, Trainingsplan mit steigender Schwierigkeit über mehrere Wochen, Ablenkungs-Simulation Übungen bewusst mit Störgeräuschen zum Fokus-Training, Fortschritts-Statistik Konzentrationsspanne über Zeit (ApexCharts Linie), Vergleich zu eigenen Bestwerten als Motivation statt Vergleich mit anderen Kindern, Kurze-Pausen-Empfehlung zwischen Übungseinheiten, Bildschirmzeit-Begrenzungs-Hinweis eingebaute Erinnerung nach 15 Minuten Pause zu machen, Eltern-Info-Sektion wie Konzentrationsfähigkeit sich altersgerecht entwickelt, Kindgerechtes farbenfrohes aber ruhiges Design, Offline-Nutzung als PWA, Keine Werbung und keine Suchtmechaniken bewusst vermieden, GSAP Übungs-Erfolgs-Animationen - USE CASE: Schüler mit Konzentrationsschwierigkeiten trainieren spielerisch ihre Fokusfähigkeit in kurzen sicheren Einheiten, das bewusste Vermeiden von Suchtmechaniken unterscheidet die App von kommerziellen Gehirnjogging-Apps mit Dauernutzungs-Anreiz.",
            "overview": "erstelle einen Konzentrations-Trainer mit Fokus-Übungen für Schüler",
            "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "category_number": 5,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler mit Konzentrationsschwierigkeiten trainieren spielerisch ihre Fokusfähigkeit in kurzen sicheren Einheiten, das bewusste Vermeiden von Suchtmechaniken unterscheidet die App von kommerziellen Gehirnjogging-Apps mit Dauernutzungs-Anreiz.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-450",
            "title": "entwickle einen Positive-Selbstgespräch-Coach vor Prüfungen für Schüler",
            "prompt_number": 450,
            "prompt": "entwickle einen Positive-Selbstgespräch-Coach vor Prüfungen für Schüler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bibliothek positiver alters- und situationsgerechter Affirmationen gegen negative Gedankenspiralen, Gedanken-Umformulierungs-Übung negativer Gedanke wird gemeinsam in konstruktiven Gedanken umgewandelt, Erfolgstagebuch vergangene gemeisterte Herausforderungen als Erinnerung an eigene Fähigkeiten, Tages-Mantra-Auswahl vor der Klausur, Kurzes Reflexions-Ritual nach jeder Prüfung unabhängig vom Ergebnis, Fortschritts-Sammlung gesammelter positiver Selbstgespräche über Zeit, Eltern-Leitfaden wie man Kinder unterstützend statt bewertend anspricht, Kindgerechte einfache Sprache ohne psychologischen Fachjargon, Keine Bewertung oder Vergleich mit anderen eingebaut, Offline-Nutzung ohne Internet direkt im Klassenzimmer, Ruhiges Design ohne Reizüberflutung, GSAP sanfte Text-Einblend-Animationen - USE CASE: Schüler mit negativem inneren Dialog vor Prüfungen lernen eine konstruktivere Selbstansprache, das Erfolgstagebuch macht sichtbar dass bereits viele Herausforderungen erfolgreich gemeistert wurden. ## Kategorie 6: ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "overview": "entwickle einen Positive-Selbstgespräch-Coach vor Prüfungen für Schüler",
            "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
            "category_number": 5,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler mit negativem inneren Dialog vor Prüfungen lernen eine konstruktivere Selbstansprache, das Erfolgstagebuch macht sichtbar dass bereits viele Herausforderungen erfolgreich gemeistert wurden. ## Kategorie 6: ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-451",
            "title": "erstelle ein Eltern-Fortschrittsdashboard zum Lernstand des Kindes",
            "prompt_number": 451,
            "prompt": "erstelle ein Eltern-Fortschrittsdashboard zum Lernstand des Kindes - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übersicht Notentrend pro Fach über das Schulhalbjahr (ApexCharts Linie), Lernzeit-Zusammenfassung aus Hausaufgaben- und Lernplan-Tracker automatisch übernommen, Stärken-und-Schwächen-Radar pro Fach (D3.js Radar), Bevorstehende-Klausuren-Übersicht mit Vorbereitungsstand, Erfolgs-Highlights positive Entwicklungen hervorgehoben statt nur Probleme, Wochenzusammenfassung als kurzer verständlicher Textbericht automatisch generiert, Vergleich zu eigenen Vorperioden nicht zu anderen Kindern, Gesprächsleitfaden-Vorschläge für konstruktive Elterngespräche, Datenschutz-Hinweis alle Daten bleiben lokal auf dem Familiengerät, Mehrkind-Umschaltung mit getrennten Profilen, Export als PDF für Elternabend, GSAP Dashboard-Aufbau-Animationen - USE CASE: Eltern verschaffen sich einen sachlichen Überblick über den Lernfortschritt ihres Kindes ohne täglich nachfragen zu müssen, die Erfolgs-Highlights helfen das Gespräch positiv statt nur problemorientiert zu führen.",
            "overview": "erstelle ein Eltern-Fortschrittsdashboard zum Lernstand des Kindes",
            "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "category_number": 6,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Eltern verschaffen sich einen sachlichen Überblick über den Lernfortschritt ihres Kindes ohne täglich nachfragen zu müssen, die Erfolgs-Highlights helfen das Gespräch positiv statt nur problemorientiert zu führen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-452",
            "title": "entwickle ein Eltern-Kind-Hausaufgaben-Check-Tool für gemeinsames Arbeiten",
            "prompt_number": 452,
            "prompt": "entwickle ein Eltern-Kind-Hausaufgaben-Check-Tool für gemeinsames Arbeiten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsame Checkliste Hausaufgaben durchgehen mit Ampel-Status pro Aufgabe, Verständnis-Check-Fragen die Eltern dem Kind stellen können ohne selbst Fachexperte zu sein, Erklär-Hinweise zu Fachbegriffen für Eltern die den Schulstoff nicht mehr präsent haben, Zeitschätzung wie lange die gemeinsame Kontrolle dauern sollte, Positive-Rückmeldungs-Vorlagen wie man Fehler konstruktiv anspricht, Fortschritts-Historie über Wochen wie oft gemeinsame Kontrolle stattfand (ApexCharts Balken), Selbstständigkeits-Tracker zunehmend eigenständige Erledigung als Ziel sichtbar machen, Erinnerungsfunktion für die gemeinsame Check-Zeit, Kindgerechte Ansicht parallel zur Eltern-Ansicht, Offline-Nutzung als PWA, GSAP Check-Abhak-Animationen - USE CASE: Eltern ohne Fachkenntnisse im jeweiligen Schulfach begleiten die Hausaufgabenkontrolle trotzdem strukturiert, der Selbstständigkeits-Tracker macht sichtbar wenn das Kind schrittweise weniger Begleitung braucht.",
            "overview": "entwickle ein Eltern-Kind-Hausaufgaben-Check-Tool für gemeinsames Arbeiten",
            "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "category_number": 6,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Eltern ohne Fachkenntnisse im jeweiligen Schulfach begleiten die Hausaufgabenkontrolle trotzdem strukturiert, der Selbstständigkeits-Tracker macht sichtbar wenn das Kind schrittweise weniger Begleitung braucht.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-453",
            "title": "programmiere ein Kommunikationslog zwischen Eltern und Nachhilfelehrer",
            "prompt_number": 453,
            "prompt": "programmiere ein Kommunikationslog zwischen Eltern und Nachhilfelehrer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Chronologischer Nachrichtenverlauf zu einzelnen Nachhilfestunden, Stundenbericht-Vorlage vom Nachhilfelehrer Thema/Fortschritt/nächste Schritte, Fragen-Sektion für Eltern zwischen den Stunden, Terminübersicht kommende Nachhilfestunden mit Bestätigungs-Status, Lernziel-Verlauf gemeinsam vereinbarte Ziele mit Fortschrittsstatus, Notenentwicklung-Verknüpfung zur Erfolgskontrolle (ApexCharts Linie), Zahlungsstatus-Übersicht für Transparenz bei Stundenpaketen, Feedback-Formular nach jeder Stunde beidseitig, Dateiaustausch-Bereich-Mockup für Übungsmaterial, Datenschutz-bewusst nur notwendige Informationen keine sensiblen Schulnoten-Details ohne Zustimmung, Erinnerungsfunktion für anstehende Termine, GSAP Nachrichtenverlauf-Einblend-Animationen - USE CASE: Eltern und Nachhilfelehrer halten Absprachen und Fortschritte nachvollziehbar fest statt sich auf mündliche Erinnerung zu verlassen, Transparenz über Lernziele und Zahlungsstatus vermeidet Missverständnisse über die Zusammenarbeit.",
            "overview": "programmiere ein Kommunikationslog zwischen Eltern und Nachhilfelehrer",
            "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "category_number": 6,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Eltern und Nachhilfelehrer halten Absprachen und Fortschritte nachvollziehbar fest statt sich auf mündliche Erinnerung zu verlassen, Transparenz über Lernziele und Zahlungsstatus vermeidet Missverständnisse über die Zusammenarbeit.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-454",
            "title": "baue ein altersgerechtes Belohnungssystem für erledigte Lernziele",
            "prompt_number": 454,
            "prompt": "baue ein altersgerechtes Belohnungssystem für erledigte Lernziele - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsam mit Eltern definierte Lernziele mit fairen erreichbaren Etappen, Sticker-und-Abzeichen-Sammlung statt monetärer Belohnung im Vordergrund, Punktekonto für erledigte Lerneinheiten das in selbstgewählte kleine Belohnungen eingetauscht werden kann, Familien-Belohnungs-Katalog gemeinsam erstellt Ausflug/Spielzeit/Wunschessen, Fortschritts-Anzeige kindgerecht mit Symbolen statt Zahlen für jüngere Kinder, Eltern-Kind-gemeinsame-Freigabe für Belohnungen als Ritual, Wochenrückblick als gemeinsames Familienritual, Verlaufsstatistik erreichte Ziele über Zeit (ApexCharts Balken), Fairness-Hinweise Belohnung an Anstrengung statt nur an Note koppeln, Keine Bestrafungs-Logik bei verpassten Zielen nur Ermutigung, Buntes aber nicht reizüberflutendes Design, GSAP Belohnungs-Freischalt-Animationen - USE CASE: Familien gestalten Motivation für Lernziele gemeinsam statt einseitig vorzugeben, die Kopplung an Anstrengung statt nur an Noten vermeidet Frustration bei Kindern die sich trotz Mühe schwertun.",
            "overview": "baue ein altersgerechtes Belohnungssystem für erledigte Lernziele",
            "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "category_number": 6,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Familien gestalten Motivation für Lernziele gemeinsam statt einseitig vorzugeben, die Kopplung an Anstrengung statt nur an Noten vermeidet Frustration bei Kindern die sich trotz Mühe schwertun.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-455",
            "title": "erstelle einen automatischen Eltern-Wochenbericht-Generator zum Lernfortschritt",
            "prompt_number": 455,
            "prompt": "erstelle einen automatischen Eltern-Wochenbericht-Generator zum Lernfortschritt - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Automatische Zusammenfassung aus Hausaufgaben-, Lernplan- und Übungstest-Daten der Woche, Verständliche Textform statt reiner Zahlen-Dashboards für Eltern ohne Zeit für Detailanalyse, Highlight-der-Woche größter Lernfortschritt automatisch hervorgehoben, Themen-Überblick was wurde diese Woche in welchem Fach bearbeitet, Empfehlungs-Sektion worauf nächste Woche der Fokus liegen könnte, Vergleich zur Vorwoche als kurze Trend-Anzeige (ApexCharts Sparkline), Anpassbare Berichtsfrequenz wöchentlich oder zweiwöchentlich, Versand-Mockup als druckbare Zusammenfassung statt echtem E-Mail-Versand, Datenschutz-Hinweis Bericht bleibt lokal im Familienkreis, Mehrkind-Berichte getrennt, Ton-Einstellung sachlich oder ermutigend wählbar, GSAP Bericht-Erstellungs-Animationen - USE CASE: Berufstätige Eltern erhalten ohne täglichen Nachfrage-Aufwand eine verständliche Wochenzusammenfassung, der automatisch hervorgehobene Fortschritt sorgt für positive statt nur mahnende Gesprächsanlässe.",
            "overview": "erstelle einen automatischen Eltern-Wochenbericht-Generator zum Lernfortschritt",
            "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "category_number": 6,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Berufstätige Eltern erhalten ohne täglichen Nachfrage-Aufwand eine verständliche Wochenzusammenfassung, der automatisch hervorgehobene Fortschritt sorgt für positive statt nur mahnende Gesprächsanlässe.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-456",
            "title": "entwickle einen Familien-Lernkalender zur gemeinsamen Planung",
            "prompt_number": 456,
            "prompt": "entwickle einen Familien-Lernkalender zur gemeinsamen Planung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsamer Kalender für Klausurtermine, Nachhilfestunden und Lerneinheiten aller Kinder der Familie, Farbcodierung pro Kind ohne Klarnamen nur Vornamen-Kürzel, Konfliktwarnung bei Terminüberschneidungen mehrerer Kinder, Familienzeit-Blöcke bewusst als Lernpausen markiert, Wochenübersicht wer hat wann welche Verpflichtung, Erinnerungsfunktion für anstehende Termine, Verknüpfung zu individuellen Lernplänen pro Kind, Export als Familienkalender zum Aushängen, Statistik Lernzeit-Verteilung zwischen Geschwistern nur zur eigenen Planungsübersicht ohne Vergleichs-Wertung, Offline-Nutzung als PWA, GSAP Kalender-Eintrags-Animationen - USE CASE: Familien mit mehreren schulpflichtigen Kindern koordinieren Nachhilfetermine und Klausurphasen ohne Terminchaos, die bewusst markierten Familienzeit-Blöcke verhindern dass Lernorganisation die gesamte Familienzeit dominiert.",
            "overview": "entwickle einen Familien-Lernkalender zur gemeinsamen Planung",
            "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "category_number": 6,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Familien mit mehreren schulpflichtigen Kindern koordinieren Nachhilfetermine und Klausurphasen ohne Terminchaos, die bewusst markierten Familienzeit-Blöcke verhindern dass Lernorganisation die gesamte Familienzeit dominiert.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-457",
            "title": "programmiere einen Eltern-Gesprächsleitfaden zur Elternsprechtag-Vorbereitung",
            "prompt_number": 457,
            "prompt": "programmiere einen Eltern-Gesprächsleitfaden zur Elternsprechtag-Vorbereitung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fragenkatalog nach Fach vorbereitbar für das Lehrergespräch, Notenverlauf-Zusammenfassung als Gesprächsgrundlage automatisch aus eigenen Daten erstellt, Beobachtungs-Notizfeld eigene Eindrücke vor dem Gespräch sammeln, Prioritäten-Sortierung welche Themen zuerst angesprochen werden sollen bei begrenzter Gesprächszeit, Nachbereitungs-Sektion Ergebnisse und Vereinbarungen aus dem Gespräch festhalten, Verlaufsübersicht vergangener Elterngespräche und deren Vereinbarungen, Erinnerungsfunktion für den Termin, Formulierungshilfen für schwierige Themen konstruktiv ansprechen, Checkliste Unterlagen die zum Gespräch mitgebracht werden sollten, Export Gesprächsnotizen als PDF, Mehrkind-Verwaltung getrennte Leitfäden, GSAP Fragenkatalog-Aufbau-Animationen - USE CASE: Eltern gehen strukturiert statt spontan in den kurzen Elternsprechtags-Termin und verpassen keine wichtige Frage, die Nachbereitungs-Sektion hilft getroffene Vereinbarungen tatsächlich nachzuverfolgen.",
            "overview": "programmiere einen Eltern-Gesprächsleitfaden zur Elternsprechtag-Vorbereitung",
            "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "category_number": 6,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Eltern gehen strukturiert statt spontan in den kurzen Elternsprechtags-Termin und verpassen keine wichtige Frage, die Nachbereitungs-Sektion hilft getroffene Vereinbarungen tatsächlich nachzuverfolgen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-458",
            "title": "baue eine Eltern-Kind-Lernvertrag-App zur digitalen Zielvereinbarung",
            "prompt_number": 458,
            "prompt": "baue eine Eltern-Kind-Lernvertrag-App zur digitalen Zielvereinbarung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsamer Editor für Lernziele und gegenseitige Verpflichtungen Eltern und Kind, Vorlagen-Bibliothek altersgerechte Beispiel-Vereinbarungen zu Bildschirmzeit/Hausaufgaben/Lernzeiten, Digitale Unterschrift-Simulation beider Seiten als symbolischer Akt, Fortschritts-Checkpoints regelmäßige gemeinsame Überprüfung vereinbart, Anpassungs-Historie wie sich der Vertrag über das Schuljahr verändert hat, Erinnerungsfunktion für vereinbarte Check-in-Termine, Fairness-Hinweise Vertrag sollte für beide Seiten Verpflichtungen enthalten nicht nur einseitig, Visualisierung eingehaltener vs verpasster Vereinbarungen (ApexCharts Donut), Konfliktlösungs-Leitfaden bei Uneinigkeit über Vertragspunkte, Export als unterschreibbares PDF für den Kühlschrank, Kindgerechte einfache Sprache in Vorlagen, GSAP Vertrags-Unterzeichnungs-Animationen - USE CASE: Familien vereinbaren Lernregeln transparent und für beide Seiten nachvollziehbar statt einseitiger Vorgaben, die beidseitige Verpflichtungsstruktur reduziert erfahrungsgemäß Konflikte um Hausaufgaben und Bildschirmzeit.",
            "overview": "baue eine Eltern-Kind-Lernvertrag-App zur digitalen Zielvereinbarung",
            "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "category_number": 6,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Familien vereinbaren Lernregeln transparent und für beide Seiten nachvollziehbar statt einseitiger Vorgaben, die beidseitige Verpflichtungsstruktur reduziert erfahrungsgemäß Konflikte um Hausaufgaben und Bildschirmzeit.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-459",
            "title": "erstelle eine Eltern-Coaching-Tipps-App zur Unterstützung ohne Druck",
            "prompt_number": 459,
            "prompt": "erstelle eine Eltern-Coaching-Tipps-App zur Unterstützung ohne Druck - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze alltagstaugliche Tipps-Sammlung nach Situation sortiert Motivationsprobleme/Prüfungsangst/Konzentrationsschwierigkeiten, Selbsttest wie unterstützend oder wie drucklastig ist die eigene Kommunikation mit dem Kind, Formulierungs-Beispiele hilfreiche vs kontraproduktive Sätze gegenübergestellt, Experten-Hintergrundwissen kindgerecht aufbereitet zu Entwicklungspsychologie und Lernmotivation, Reflexions-Tagebuch für Eltern eigene Erfahrungen und Fortschritte notieren, Community-Erfahrungsberichte-Mockup anderer Eltern anonymisiert, Wochentipp-Rotation neue Impulse regelmäßig, Warnzeichen-Sektion wann professionelle Unterstützung sinnvoll sein könnte, Fortschritts-Tracker eigene Anwendung der Tipps im Alltag, Suchfunktion nach Situation, GSAP Tipp-Karten-Einblend-Animationen - USE CASE: Eltern die unsicher sind wie sie unterstützen können ohne zusätzlichen Druck aufzubauen finden konkrete Formulierungshilfen, der Selbsttest macht das eigene Kommunikationsmuster mit dem Kind bewusster.",
            "overview": "erstelle eine Eltern-Coaching-Tipps-App zur Unterstützung ohne Druck",
            "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "category_number": 6,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Eltern die unsicher sind wie sie unterstützen können ohne zusätzlichen Druck aufzubauen finden konkrete Formulierungshilfen, der Selbsttest macht das eigene Kommunikationsmuster mit dem Kind bewusster.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-460",
            "title": "entwickle einen Zeugnis-und-Notenverlauf-Tracker für die Eltern-Ansicht",
            "prompt_number": 460,
            "prompt": "entwickle einen Zeugnis-und-Notenverlauf-Tracker für die Eltern-Ansicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Manuelle Noteneingabe pro Fach und Schuljahr, Notenverlauf-Chart über mehrere Schuljahre pro Fach (ApexCharts Linie), Zeugnis-Archiv-Übersicht Halbjahres- und Jahreszeugnisse chronologisch, Notenschnitt-Berechnung automatisch nach Schulform-Gewichtung, Trend-Erkennung Verbesserung oder Verschlechterung pro Fach farblich markiert, Fach-Vergleich innerhalb des Kindes welche Fächer stärker oder schwächer sind (D3.js Radar), Kommentar-Feld pro Zeugnis eigene Beobachtungen festhalten, Mehrkind-Verwaltung getrennte Profile ohne Vergleichsdruck zwischen Geschwistern, Zielnote-Eintrag pro Fach mit Fortschritts-Anzeige zur Zielerreichung, Export Notenübersicht als PDF, Datenschutz alle Daten ausschließlich lokal gespeichert, GSAP Notenverlaufs-Zeichen-Animationen - USE CASE: Eltern behalten die längerfristige Notenentwicklung ihres Kindes über mehrere Schuljahre im Blick statt nur einzelne Zeugnisse isoliert zu betrachten, die getrennte Geschwister-Verwaltung vermeidet dabei bewusst direkten Vergleichsdruck. ## Kategorie 7: NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "overview": "entwickle einen Zeugnis-und-Notenverlauf-Tracker für die Eltern-Ansicht",
            "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
            "category_number": 6,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Eltern behalten die längerfristige Notenentwicklung ihres Kindes über mehrere Schuljahre im Blick statt nur einzelne Zeugnisse isoliert zu betrachten, die getrennte Geschwister-Verwaltung vermeidet dabei bewusst direkten Vergleichsdruck. ## Kategorie 7: NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-461",
            "title": "erstelle eine Schülerkartei-Verwaltung für private Nachhilfelehrer",
            "prompt_number": 461,
            "prompt": "erstelle eine Schülerkartei-Verwaltung für private Nachhilfelehrer - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schülerprofile mit Fach/Klassenstufe/Schulform und minimalen notwendigen Kontaktdaten, Lernziel-Dokumentation pro Schüler mit Fortschrittsstatus, Stundenhistorie chronologisch pro Schüler, Themen-Verlauf was wurde in welcher Stunde behandelt, Stärken-Schwächen-Profil pro Schüler (D3.js Radar), Kontaktdaten-Verwaltung Eltern-Ansprechpartner getrennt von Schülerdaten, Auslastungs-Übersicht aktive vs pausierte Schüler, Erinnerungsfunktion für Vertragsverlängerungen oder Stundenpaket-Ende, Notizfeld vertrauliche Beobachtungen nur für den Nachhilfelehrer sichtbar, Such- und Filterfunktion nach Fach/Klassenstufe, Export Schülerübersicht als Tabelle, Datenschutz-Hinweis DSGVO-konforme minimale Datenspeicherung ausschließlich lokal, GSAP Profil-Karten-Animationen - USE CASE: Nachhilfelehrer mit vielen parallelen Schülern behalten Lernstand und Vereinbarungen pro Schüler übersichtlich fest, die datenschutzbewusste minimale Datenerhebung schützt sensible Informationen über Minderjährige konsequent.",
            "overview": "erstelle eine Schülerkartei-Verwaltung für private Nachhilfelehrer",
            "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Nachhilfelehrer mit vielen parallelen Schülern behalten Lernstand und Vereinbarungen pro Schüler übersichtlich fest, die datenschutzbewusste minimale Datenerhebung schützt sensible Informationen über Minderjährige konsequent.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-462",
            "title": "entwickle einen Terminplanungs-Kalender für Nachhilfestunden",
            "prompt_number": 462,
            "prompt": "entwickle einen Terminplanungs-Kalender für Nachhilfestunden - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochen- und Monatsansicht aller gebuchten Nachhilfetermine, Wiederkehrende-Termine-Vorlage für feste wöchentliche Stunden, Verfügbarkeits-Übersicht freie Zeitfenster für Neubuchungen, Farbcodierung pro Schüler oder Fach, Absage-und-Verschiebungs-Verwaltung mit Historie, Anfahrtszeiten-Puffer zwischen Terminen bei Hausbesuchen, Auslastungs-Statistik Stunden pro Woche im Verlauf (ApexCharts Balken), Erinnerungsfunktion für bevorstehende Termine, Doppelbuchungs-Warnung bei Terminkonflikten, Ferienzeiten-Markierung automatische Pausenerkennung, Export Wochenplan als druckbare Übersicht, GSAP Terminkarten-Animationen - USE CASE: Nachhilfelehrer mit vielen Einzel- und Gruppenterminen vermeiden Doppelbuchungen und Terminchaos, die Auslastungs-Statistik hilft realistisch einzuschätzen wie viele neue Schüler noch aufgenommen werden können.",
            "overview": "entwickle einen Terminplanungs-Kalender für Nachhilfestunden",
            "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Nachhilfelehrer mit vielen Einzel- und Gruppenterminen vermeiden Doppelbuchungen und Terminchaos, die Auslastungs-Statistik hilft realistisch einzuschätzen wie viele neue Schüler noch aufgenommen werden können.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-463",
            "title": "programmiere einen Rechnungsgenerator für Nachhilfestunden",
            "prompt_number": 463,
            "prompt": "programmiere einen Rechnungsgenerator für Nachhilfestunden - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Stundensatz-Konfiguration pro Schüler oder pauschal, Automatische Rechnungserstellung aus erfassten Nachhilfestunden im Zeitraum, Rechnungsvorlagen-Editor mit eigenem Namen und Kontaktdaten, Zahlungsstatus-Tracking bezahlt/offen/überfällig, Mahnwesen-Vorlage bei überfälligen Zahlungen freundlich formuliert, Einnahmen-Übersicht pro Monat und Jahr (ApexCharts Balken), Stundenpaket-Verwaltung Restguthaben pro Schüler, Steuerliche-Vorbereitung-Export Jahresübersicht für die Steuererklärung als Kleinunternehmer, Rechnungsarchiv durchsuchbar, Rabatt-und-Paket-Konfiguration Geschwisterrabatt oder Zehnerkarten, PDF-Export professionell formatiert, GSAP Rechnungserstellungs-Animationen - USE CASE: Selbstständige Nachhilfelehrer verwalten Abrechnung und Zahlungseingänge professionell statt handschriftlicher Notizen, die Jahresübersicht erleichtert die eigene Steuererklärung erheblich.",
            "overview": "programmiere einen Rechnungsgenerator für Nachhilfestunden",
            "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Selbstständige Nachhilfelehrer verwalten Abrechnung und Zahlungseingänge professionell statt handschriftlicher Notizen, die Jahresübersicht erleichtert die eigene Steuererklärung erheblich.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-464",
            "title": "baue ein Lernfortschritts-Notizen-Tool pro Schüler für Nachhilfelehrer",
            "prompt_number": 464,
            "prompt": "baue ein Lernfortschritts-Notizen-Tool pro Schüler für Nachhilfelehrer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierte Stundenprotokoll-Vorlage Thema/Beobachtung/Hausaufgabe/nächste-Schritte, Fortschritts-Bewertung pro Kompetenzbereich mit einfacher Skala, Verlaufsansicht aller Protokolle chronologisch pro Schüler, Themen-Abdeckungs-Übersicht was wurde im Lehrplan bereits behandelt (D3.js), Wiedervorlage-Markierung Themen die nochmal aufgegriffen werden sollten, Elternbericht-Export vereinfachte Version ohne interne Notizen für Weitergabe an Eltern, Notenentwicklung-Verknüpfung zur Erfolgskontrolle der Nachhilfe (ApexCharts Linie), Suchfunktion über alle Protokolle nach Thema, Vorlagen-Bibliothek für wiederkehrende Themenblöcke je Fach, Erinnerungsfunktion offene Wiedervorlage-Themen, Vertraulichkeits-Kennzeichnung private vs teilbare Notizen, GSAP Protokoll-Eintrag-Animationen - USE CASE: Nachhilfelehrer dokumentieren jede Stunde nachvollziehbar statt sich auf das Gedächtnis zu verlassen, der separate Elternbericht-Export ermöglicht Transparenz ohne private pädagogische Einschätzungen preiszugeben.",
            "overview": "baue ein Lernfortschritts-Notizen-Tool pro Schüler für Nachhilfelehrer",
            "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Nachhilfelehrer dokumentieren jede Stunde nachvollziehbar statt sich auf das Gedächtnis zu verlassen, der separate Elternbericht-Export ermöglicht Transparenz ohne private pädagogische Einschätzungen preiszugeben.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-465",
            "title": "erstelle eine Unterrichtsmaterial-Bibliothek nach Fach-und-Klassenstufe",
            "prompt_number": 465,
            "prompt": "erstelle eine Unterrichtsmaterial-Bibliothek nach Fach-und-Klassenstufe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorisierte Materialablage Fach/Klassenstufe/Schulform/Themenbereich, Vorlagen-Sammlung eigene Arbeitsblätter und Übungen wiederverwendbar, Verknüpfung zu passenden Übungstests aus der Testbibliothek, Tag-System für flexible Zusatz-Kategorisierung, Nutzungshäufigkeits-Statistik welche Materialien am häufigsten eingesetzt werden (ApexCharts Balken), Versionsverwaltung bei überarbeiteten Arbeitsblättern, Volltextsuche über Materialtitel und Themen, Favoriten-Sammlung bewährter Materialien, Materialpaket-Zusammenstellung für neue Schüler nach Schulform, Druckansicht direkt aus der Bibliothek, Freigabe-Kennzeichnung eigenes vs aus anderen Quellen übernommenes Material, GSAP Bibliotheks-Grid-Animationen - USE CASE: Nachhilfelehrer mit wachsendem Materialfundus finden passende Arbeitsblätter sofort statt in Ordnern zu suchen, neue Schüler erhalten durch die Materialpaket-Funktion schnell ein passendes Einstiegspaket nach Schulform.",
            "overview": "erstelle eine Unterrichtsmaterial-Bibliothek nach Fach-und-Klassenstufe",
            "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Nachhilfelehrer mit wachsendem Materialfundus finden passende Arbeitsblätter sofort statt in Ordnern zu suchen, neue Schüler erhalten durch die Materialpaket-Funktion schnell ein passendes Einstiegspaket nach Schulform.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-466",
            "title": "entwickle einen Nachhilfe-Preise-und-Pakete-Kalkulator",
            "prompt_number": 466,
            "prompt": "entwickle einen Nachhilfe-Preise-und-Pakete-Kalkulator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Preismodell-Konfigurator Einzelstunde/Zehnerkarte/Monatspauschale mit automatischer Ersparnis-Berechnung, Regionale-Preisvergleich-Referenz zur eigenen Preisfindung, Fach-und-Klassenstufen-abhängige-Staffelung Oberstufe-Abitur oft höherer Satz, Gruppenrabatt-Rechner bei Kleingruppen-Nachhilfe, Umsatzprognose bei verschiedenen Auslastungsszenarien (ApexCharts Balken), Deckungsbeitrags-Rechner nach Abzug von Fahrtkosten und Materialkosten, Angebots-Generator für neue Interessenten mit gewähltem Paket, Vergleichstabelle eigener Pakete für Website oder Aushang, Break-Even-Rechner wie viele Stunden pro Monat nötig sind, Saisonale-Nachfrage-Notiz Klausurphasen als umsatzstärkere Zeiten markieren, Export Preisliste als PDF, GSAP Paket-Vergleichs-Animationen - USE CASE: Angehende Nachhilfelehrer kalkulieren eine faire und wettbewerbsfähige Preisstruktur bevor sie neue Schüler akquirieren, etablierte Anbieter prüfen mit dem Deckungsbeitrags-Rechner ob sich Hausbesuche mit Fahrtaufwand noch lohnen.",
            "overview": "entwickle einen Nachhilfe-Preise-und-Pakete-Kalkulator",
            "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Angehende Nachhilfelehrer kalkulieren eine faire und wettbewerbsfähige Preisstruktur bevor sie neue Schüler akquirieren, etablierte Anbieter prüfen mit dem Deckungsbeitrags-Rechner ob sich Hausbesuche mit Fahrtaufwand noch lohnen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-467",
            "title": "programmiere ein Elternkommunikations-Center für Nachhilfelehrer",
            "prompt_number": 467,
            "prompt": "programmiere ein Elternkommunikations-Center für Nachhilfelehrer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrale Nachrichtenübersicht getrennt nach Familie statt Einzelchats verstreut, Vorlagen-Bibliothek für wiederkehrende Nachrichten Terminbestätigung/Absage/Fortschrittsupdate, Rundmail-Funktion-Mockup für organisatorische Ankündigungen an alle aktiven Familien, Antwort-Status-Tracking wer hat auf welche Nachricht reagiert, Terminanfragen-Verwaltung eingehende Anfragen mit Annehmen/Ablehnen, Kommunikationshistorie durchsuchbar pro Familie, Erinnerungsfunktion für unbeantwortete Anfragen, Feedback-Sammlung nach Probestunden strukturiert, Datenschutz-Hinweis Kommunikation ausschließlich mit Erziehungsberechtigten dokumentiert, Prioritäts-Kennzeichnung dringende Anfragen, Export Kommunikationsverlauf pro Familie, GSAP Nachrichtenzentrale-Animationen - USE CASE: Nachhilfelehrer mit vielen parallelen Familienkontakten verlieren keine offenen Anfragen mehr in verstreuten Chatverläufen, die Vorlagen-Bibliothek spart Zeit bei wiederkehrender organisatorischer Kommunikation.",
            "overview": "programmiere ein Elternkommunikations-Center für Nachhilfelehrer",
            "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Nachhilfelehrer mit vielen parallelen Familienkontakten verlieren keine offenen Anfragen mehr in verstreuten Chatverläufen, die Vorlagen-Bibliothek spart Zeit bei wiederkehrender organisatorischer Kommunikation.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-468",
            "title": "baue einen Gruppenunterricht-Planer für Nachhilfeinstitute",
            "prompt_number": 468,
            "prompt": "baue einen Gruppenunterricht-Planer für Nachhilfeinstitute - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gruppenzusammenstellung nach Fach/Klassenstufe/Leistungsniveau für passende Kleingruppen, Kapazitätsplanung maximale Gruppengröße pro Fach, Themenplan-Synchronisierung passend zum Schullehrplan der Gruppe, Individuelle-Fortschritts-Erfassung trotz Gruppenunterricht pro Schüler, Warteliste-Verwaltung bei ausgebuchten Gruppen, Terminfindungs-Tool welcher Termin passt für die meisten Gruppenmitglieder, Auslastungs-Dashboard über alle Gruppen (ApexCharts Balken), Umgruppierungs-Vorschlag bei stark unterschiedlichem Fortschritt innerhalb einer Gruppe, Elterninformation pro Gruppe getrennt vom Einzelunterricht, Materialverteilung an gesamte Gruppe gleichzeitig, Export Gruppenübersicht für Institutsleitung, GSAP Gruppen-Zuordnungs-Animationen - USE CASE: Nachhilfeinstitute mit mehreren parallelen Kleingruppen behalten trotz Gruppenformat den individuellen Fortschritt jedes Schülers im Blick, die Umgruppierungs-Vorschläge verhindern dass leistungsstärkere und schwächere Schüler dauerhaft in ungeeigneten Gruppen verbleiben.",
            "overview": "baue einen Gruppenunterricht-Planer für Nachhilfeinstitute",
            "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Nachhilfeinstitute mit mehreren parallelen Kleingruppen behalten trotz Gruppenformat den individuellen Fortschritt jedes Schülers im Blick, die Umgruppierungs-Vorschläge verhindern dass leistungsstärkere und schwächere Schüler dauerhaft in ungeeigneten Gruppen verbleiben.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-469",
            "title": "erstelle ein Probestunden-Buchungs-Tool für neue Nachhilfeschüler",
            "prompt_number": 469,
            "prompt": "erstelle ein Probestunden-Buchungs-Tool für neue Nachhilfeschüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buchungsformular für Erstkontakt mit Fach/Klassenstufe/Anliegen ohne unnötige Datenabfrage, Verfügbare-Termine-Kalender für Probestunden, Vorab-Fragebogen zur Einschätzung des aktuellen Wissensstands, Automatische Bestätigungs-Vorlage nach Buchung, Erinnerungsfunktion vor der Probestunde, Nachbereitungs-Formular Ergebnis der Probestunde und Einschätzung des Förderbedarfs, Umwandlungs-Tracking wie viele Probestunden zu regelmäßiger Nachhilfe führen (ApexCharts Balken), Feedback-Erfassung von Eltern nach der Probestunde, Absage-und-Verschiebungs-Verwaltung, Kapazitäts-Anzeige wie viele neue Schüler aktuell aufgenommen werden können, Datenschutz-Hinweis minimale Datenerhebung nur für die Terminorganisation nötig, GSAP Buchungsbestätigungs-Animationen - USE CASE: Nachhilfelehrer organisieren den Erstkontakt mit potenziellen neuen Schülern professionell und effizient, die Umwandlungs-Statistik zeigt wie erfolgreich Probestunden tatsächlich zu langfristiger Zusammenarbeit führen.",
            "overview": "erstelle ein Probestunden-Buchungs-Tool für neue Nachhilfeschüler",
            "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Nachhilfelehrer organisieren den Erstkontakt mit potenziellen neuen Schülern professionell und effizient, die Umwandlungs-Statistik zeigt wie erfolgreich Probestunden tatsächlich zu langfristiger Zusammenarbeit führen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-470",
            "title": "entwickle ein Nachhilfelehrer-Auslastungs-Dashboard Stunden-und-Einnahmen",
            "prompt_number": 470,
            "prompt": "entwickle ein Nachhilfelehrer-Auslastungs-Dashboard Stunden-und-Einnahmen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesamtübersicht wöchentliche und monatliche Unterrichtsstunden über alle Schüler, Einnahmen-Entwicklung im Zeitverlauf (ApexCharts Linie), Auslastungsgrad-Anzeige freie Kapazität vs ausgebucht, Fach-Verteilung welche Fächer den größten Anteil der Stunden ausmachen (D3.js Treemap), Stundensatz-Durchschnitt über alle Schüler und Pakete, Kündigungs-und-Neuzugangs-Tracking Fluktuation über Zeit, Saisonale-Muster-Erkennung Klausurphasen mit erhöhter Nachfrage, Arbeitszeit-Belastungs-Warnung bei zu vielen Wochenstunden, Ziel-Einnahmen-Vergleich Soll vs Ist, Export Jahresübersicht für die eigene Buchhaltung, Wochentag-Verteilung wann die meisten Stunden stattfinden, GSAP Dashboard-Kennzahlen-Animationen - USE CASE: Selbstständige Nachhilfelehrer verschaffen sich einen unternehmerischen Überblick über ihre gesamte Tätigkeit statt nur einzelne Schülerkarteien zu führen, die Arbeitszeit-Belastungs-Warnung hilft eine gesunde Auslastung ohne Selbstausbeutung zu halten. ## Kategorie 8: INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "overview": "entwickle ein Nachhilfelehrer-Auslastungs-Dashboard Stunden-und-Einnahmen",
            "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
            "category_number": 7,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Selbstständige Nachhilfelehrer verschaffen sich einen unternehmerischen Überblick über ihre gesamte Tätigkeit statt nur einzelne Schülerkarteien zu führen, die Arbeitszeit-Belastungs-Warnung hilft eine gesunde Auslastung ohne Selbstausbeutung zu halten. ## Kategorie 8: INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-471",
            "title": "erstelle einen sicheren Physik-Experiment-Simulator für Stromkreise",
            "prompt_number": 471,
            "prompt": "erstelle einen sicheren Physik-Experiment-Simulator für Stromkreise - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Virtueller Schaltkreis-Baukasten Batterie/Widerstand/Lampe/Schalter per Drag-and-Drop, Live-Simulation Stromfluss visualisiert bei geschlossenem Schaltkreis (D3.js Animation), Reihen-und-Parallelschaltung-Vergleich direkt nebeneinander aufbaubar, Messgeräte-Simulation virtuelles Amperemeter und Voltmeter einfügbar, Automatische Berechnung von Gesamtwiderstand und Stromstärke passend zum Aufbau, Fehler-Erkennung Kurzschluss-Warnung bei falschem Aufbau ungefährlich in der Simulation, Aufgaben-Modus vorgegebene Zielwerte durch richtigen Aufbau erreichen, Erklär-Popover zu jedem Bauteil, Speicherbare-eigene-Schaltkreise zum späteren Wiederholen, Vergleich zu Formelsammlung-Werten aus dem Physik-Nachschlagewerk, Explizit als reine Simulation gekennzeichnet kein echtes Laborexperiment, GSAP Stromfluss-Partikel-Animationen - USE CASE: Schüler ohne Zugang zu echtem Physik-Laborequipment üben Schaltkreis-Aufbau gefahrlos am Bildschirm, Nachhilfelehrer visualisieren abstrakte Stromkreis-Konzepte greifbar bevor der echte Schulversuch im Unterricht stattfindet.",
            "overview": "erstelle einen sicheren Physik-Experiment-Simulator für Stromkreise",
            "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler ohne Zugang zu echtem Physik-Laborequipment üben Schaltkreis-Aufbau gefahrlos am Bildschirm, Nachhilfelehrer visualisieren abstrakte Stromkreis-Konzepte greifbar bevor der echte Schulversuch im Unterricht stattfindet.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-472",
            "title": "entwickle einen sicheren Chemie-Reaktions-Simulator ohne echtes Labor",
            "prompt_number": 472,
            "prompt": "entwickle einen sicheren Chemie-Reaktions-Simulator ohne echtes Labor - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Reagenzglas-Baukasten Stoffe per Klick kombinieren, Reaktionsvisualisierung Farbwechsel/Gasentwicklung/Niederschlag animiert (D3.js), Reaktionsgleichung wird automatisch passend zur Simulation eingeblendet und ausgeglichen, Sicherheitshinweise-Sektion erklärt warum bestimmte Reaktionen nur im echten Unterricht unter Aufsicht durchgeführt werden, Aufgaben-Modus vorgegebenes Zielprodukt durch richtige Kombination erreichen, Stoffeigenschaften-Nachschlage-Popover pro verwendetem Stoff, Fehlversuch-Feedback ohne reale Gefahr bei falscher Kombination nur Hinweistext, Fortschritts-Tracker gemeisterte Reaktionstypen, Verknüpfung zur Chemie-Formelsammlung für Stöchiometrie-Nachrechnung, Explizit als reine Lernsimulation gekennzeichnet, Wiederholungsmodus für Klausurvorbereitung, GSAP Reaktions-Farbwechsel-Animationen - USE CASE: Schüler verstehen chemische Reaktionen visuell nachvollziehbar ohne die Risiken eines echten Experiments, die App ergänzt den schulischen Chemieunterricht als sicheres Wiederholungswerkzeug zuhause.",
            "overview": "entwickle einen sicheren Chemie-Reaktions-Simulator ohne echtes Labor",
            "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler verstehen chemische Reaktionen visuell nachvollziehbar ohne die Risiken eines echten Experiments, die App ergänzt den schulischen Chemieunterricht als sicheres Wiederholungswerkzeug zuhause.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-473",
            "title": "programmiere einen interaktiven Geschichts-Zeitstrahl-Explorer",
            "prompt_number": 473,
            "prompt": "programmiere einen interaktiven Geschichts-Zeitstrahl-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zoombarer Zeitstrahl von Antike bis Gegenwart nach Lehrplan-Epochen (D3.js Zeitachse), Epochen-Detailseiten mit zentralen Ereignissen und Ursache-Wirkungs-Zusammenhängen, Verknüpfungs-Ansicht Parallelereignisse in verschiedenen Regionen zur gleichen Zeit, Quellenausschnitte-Sammlung kurze historische Textquellen mit Einordnungshilfe, Zeitleisten-Quiz Ereignisse in richtige Reihenfolge bringen, Karten-Integration wie sich Grenzen über Epochen veränderten, Personen-Steckbriefe zu zentralen historischen Figuren, Themen-Filter Politik/Gesellschaft/Kultur separat einblendbar, Fortschritts-Tracker erkundete Epochen, Lesezeichen für klausurrelevante Ereignisse, Druckansicht als Zeitstrahl-Merkblatt, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Schüler verstehen historische Zusammenhänge über Epochen hinweg statt isolierter Einzelfakten, das PWA-Format eignet sich als digitale Erweiterung klassischer Geschichts-Nachhilfe wie bei den PWA-HISTORY-NACHHILFE-Projekten im eigenen Archiv.",
            "overview": "programmiere einen interaktiven Geschichts-Zeitstrahl-Explorer",
            "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler verstehen historische Zusammenhänge über Epochen hinweg statt isolierter Einzelfakten, das PWA-Format eignet sich als digitale Erweiterung klassischer Geschichts-Nachhilfe wie bei den PWA-HISTORY-NACHHILFE-Projekten im eigenen Archiv.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-474",
            "title": "baue ein Biologie-Diagramm-Beschriftungs-Tool für Zellen-und-Organe",
            "prompt_number": 474,
            "prompt": "baue ein Biologie-Diagramm-Beschriftungs-Tool für Zellen-und-Organe - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Diagramm-Bibliothek Tierzelle/Pflanzenzelle/menschliche-Organe nach Klassenstufe, Drag-and-Drop-Beschriftung Begriffe an richtige Stelle ziehen, Sofort-Feedback bei falscher Zuordnung mit Erklärung, Zoombare-Detailansicht komplexer Diagramme, Übungsmodus mit steigendem Schwierigkeitsgrad weniger Vorgaben, Zeitmess-Modus für Klausur-ähnliches Üben, Fortschritts-Statistik pro Diagrammtyp (ApexCharts Radial), Vergleichsansicht Tierzelle vs Pflanzenzelle nebeneinander, Fachbegriff-Verlinkung zum Biologie-Lexikon bei Unklarheiten, Eigene-Diagramme-Übung mit hochgeladenem Schulbuch-Diagramm-Platzhalter, Druckansicht unbeschrifteter Diagramme zum Selbstüben auf Papier, GSAP Beschriftungs-Einrast-Animationen - USE CASE: Schüler festigen die oft in Klassenarbeiten geforderte korrekte Beschriftung biologischer Diagramme praxisnah, der Zeitmess-Modus simuliert die reale Prüfungssituation solcher Beschriftungsaufgaben.",
            "overview": "baue ein Biologie-Diagramm-Beschriftungs-Tool für Zellen-und-Organe",
            "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler festigen die oft in Klassenarbeiten geforderte korrekte Beschriftung biologischer Diagramme praxisnah, der Zeitmess-Modus simuliert die reale Prüfungssituation solcher Beschriftungsaufgaben.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-475",
            "title": "erstelle ein Erdkunde-Kartenquiz für Länder-Hauptstädte-und-Flüsse",
            "prompt_number": 475,
            "prompt": "erstelle ein Erdkunde-Kartenquiz für Länder-Hauptstädte-und-Flüsse - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Interaktive Weltkarte mit klickbaren Ländern für Quizfragen, Themenmodule Hauptstädte/Flüsse/Gebirge/Kontinente nach Klassenstufe, Regionsfilter Europa/Deutschland-Bundesländer/Welt separat übbar, Blindkarten-Modus Länder ohne Beschriftung erkennen, Zeitmess-Modus für Wettbewerbscharakter, Fehleranalyse welche Regionen am schlechtesten abschneiden (ApexCharts Balken), Fortschritts-Fortschrittskarte bereits gemeisterte Regionen farblich markiert, Merkhilfen-Karten zu schwierig zu merkenden Ländern, Highscore-Tracker eigene Bestzeiten, Offline-Kartendaten für Nutzung ohne Internet, Druckansicht Blindkarten zum Selbstüben, GSAP Karten-Zoom-Animationen - USE CASE: Schüler festigen geografisches Grundwissen spielerisch statt stures Auswendiglernen von Ländernamen, das Bundesländer-Modul bereitet gezielt auf die in vielen Bundesländern früh gelehrte Deutschlandkunde vor.",
            "overview": "erstelle ein Erdkunde-Kartenquiz für Länder-Hauptstädte-und-Flüsse",
            "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler festigen geografisches Grundwissen spielerisch statt stures Auswendiglernen von Ländernamen, das Bundesländer-Modul bereitet gezielt auf die in vielen Bundesländern früh gelehrte Deutschlandkunde vor.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-476",
            "title": "entwickle einen Physik-Simulator für Mechanik Kräfte-und-Bewegung",
            "prompt_number": 476,
            "prompt": "entwickle einen Physik-Simulator für Mechanik Kräfte-und-Bewegung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Bewegungs-Baukasten Masse/Kraft/Reibung einstellbar mit Live-Simulation, Kraft-Vektor-Visualisierung an bewegtem Objekt (D3.js), v-t-und-s-t-Diagramm live während der Simulation gezeichnet (ApexCharts), Vergleichsmodus zwei Szenarien mit unterschiedlichen Parametern nebeneinander, Aufgaben-Modus vorgegebene Zielgeschwindigkeit durch richtige Krafteinstellung erreichen, Reibungs-Einfluss-Demonstration mit und ohne Reibung vergleichbar, Newtonsche-Gesetze-Erklär-Popover passend zur laufenden Simulation, Formelverknüpfung zur Physik-Formelsammlung, Fortschritts-Tracker gemeisterte Aufgabentypen, Explizit als Simulation ohne echtes Experiment gekennzeichnet, Zeitlupen-Funktion zur genauen Beobachtung, GSAP Bewegungspfad-Animationen - USE CASE: Schüler verstehen abstrakte Bewegungsgesetze durch direktes Ausprobieren verschiedener Parameter visuell, die parallele Diagrammzeichnung verbindet den beobachteten Bewegungsablauf unmittelbar mit der mathematischen Darstellung.",
            "overview": "entwickle einen Physik-Simulator für Mechanik Kräfte-und-Bewegung",
            "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler verstehen abstrakte Bewegungsgesetze durch direktes Ausprobieren verschiedener Parameter visuell, die parallele Diagrammzeichnung verbindet den beobachteten Bewegungsablauf unmittelbar mit der mathematischen Darstellung.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-477",
            "title": "programmiere einen Chemie-Periodensystem-Simulator für Elektronenkonfiguration",
            "prompt_number": 477,
            "prompt": "programmiere einen Chemie-Periodensystem-Simulator für Elektronenkonfiguration - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktives Atommodell-Bohr-Schema pro Element mit Elektronenschalen (D3.js), Aufbau-Prinzip-Simulator Elektronen werden schrittweise auf Schalen verteilt mit Erklärung, Vergleichsmodus zwei Elemente nebeneinander zur Veranschaulichung von Periodizität, Ionenbildungs-Simulation wie Atome durch Elektronenabgabe oder -aufnahme zu Ionen werden, Bindungstyp-Demonstration Ionenbindung vs Elektronenpaarbindung vereinfacht visualisiert, Aufgaben-Modus Elektronenkonfiguration eines vorgegebenen Elements korrekt aufbauen, Verknüpfung zum Periodensystem-Explorer für Zusatzinformationen, Fortschritts-Tracker gemeisterte Elemente, Erklär-Popover zu Fachbegriffen wie Valenzelektronen, Zeitlupen-Modus für komplexere Konfigurationen, GSAP Elektronen-Bewegungs-Animationen - USE CASE: Schüler der Oberstufe verstehen den Aufbau der Elektronenhülle und dessen Zusammenhang mit dem Periodensystem anschaulich, die Ionenbildungs-Simulation macht das sonst abstrakte Konzept der chemischen Bindung greifbar.",
            "overview": "programmiere einen Chemie-Periodensystem-Simulator für Elektronenkonfiguration",
            "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler der Oberstufe verstehen den Aufbau der Elektronenhülle und dessen Zusammenhang mit dem Periodensystem anschaulich, die Ionenbildungs-Simulation macht das sonst abstrakte Konzept der chemischen Bindung greifbar.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-478",
            "title": "baue einen Biologie-Genetik-Simulator für Mendelsche-Regeln",
            "prompt_number": 478,
            "prompt": "baue einen Biologie-Genetik-Simulator für Mendelsche-Regeln - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Kreuzungs-Baukasten Elterngenerationen mit wählbaren Merkmalen dominant/rezessiv, Automatische Kreuzungsschema-Erstellung Punnett-Quadrat live berechnet (D3.js), Wahrscheinlichkeits-Anzeige für Nachkommen-Merkmalsverteilung (ApexCharts Donut), Mehrgenerationen-Simulation F1 und F2-Generation nachvollziehbar, Erste-und-Zweite-Mendelsche-Regel-Erklärung passend zur laufenden Simulation, Aufgaben-Modus vorgegebenes Kreuzungsergebnis durch richtige Elternauswahl erreichen, Beispiel-Merkmale aus dem Schulunterricht Erbsenfarbe/Blütenform als Klassiker, Fortschritts-Tracker gemeisterte Kreuzungsaufgaben, Verknüpfung zum Biologie-Lexikon für Fachbegriffe, Druckansicht Kreuzungsschema als Übungsblatt, GSAP Kreuzungsschema-Aufbau-Animationen - USE CASE: Schüler verstehen Vererbungswahrscheinlichkeiten durch selbst durchgeführte Kreuzungen statt nur vorgerechnete Beispiele im Schulbuch nachzuvollziehen, die automatische Punnett-Quadrat-Berechnung hilft die Systematik hinter Mendels Regeln zu verinnerlichen.",
            "overview": "baue einen Biologie-Genetik-Simulator für Mendelsche-Regeln",
            "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler verstehen Vererbungswahrscheinlichkeiten durch selbst durchgeführte Kreuzungen statt nur vorgerechnete Beispiele im Schulbuch nachzuvollziehen, die automatische Punnett-Quadrat-Berechnung hilft die Systematik hinter Mendels Regeln zu verinnerlichen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-479",
            "title": "erstelle einen Geschichts-Quellenanalyse-Trainer interaktiv",
            "prompt_number": 479,
            "prompt": "erstelle einen Geschichts-Quellenanalyse-Trainer interaktiv - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Quellenbibliothek kurze historische Text- und Bildquellen nach Epoche kategorisiert, Schritt-für-Schritt-Anleitung Quellenanalyse Einordnung/Inhaltsangabe/Interpretation nach Schulstandard, Markier-Werkzeug wichtige Textstellen im Quellentext hervorheben, Leitfragen-Katalog passend zum Quellentyp Rede/Karikatur/Statistik, Musterlösungs-Vergleich nach eigenem Analyseversuch, Bewertungsraster-Simulation wie eine Lehrkraft die Analyse bepunkten würde, Übungsgenerator neue Quellen mit steigendem Schwierigkeitsgrad, Fortschritts-Tracker geübte Quellentypen (ApexCharts Radial), Fachbegriff-Glossar zu Quellenkritik-Begriffen, Klausur-Simulation mit Zeitlimit wie in echten Geschichtsklausuren, GSAP Textmarkierungs-Animationen - USE CASE: Oberstufenschüler üben die in Geschichtsklausuren zentrale Methodenkompetenz der Quellenanalyse strukturiert, das Bewertungsraster macht transparent wonach Lehrkräfte bei der Punktevergabe tatsächlich suchen.",
            "overview": "erstelle einen Geschichts-Quellenanalyse-Trainer interaktiv",
            "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Oberstufenschüler üben die in Geschichtsklausuren zentrale Methodenkompetenz der Quellenanalyse strukturiert, das Bewertungsraster macht transparent wonach Lehrkräfte bei der Punktevergabe tatsächlich suchen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-480",
            "title": "entwickle einen Erdkunde-Klimadiagramm-Explorer-und-Vergleichs-Tool",
            "prompt_number": 480,
            "prompt": "entwickle einen Erdkunde-Klimadiagramm-Explorer-und-Vergleichs-Tool - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Klimadiagramm-Bibliothek für Städte weltweit nach Klimazonen kategorisiert, Interaktive Karte zur Auswahl von Vergleichsstädten (Leaflet), Klimadiagramm-Generator Temperatur und Niederschlag pro Monat visualisiert (ApexCharts Combo), Klimazonen-Zuordnungs-Quiz Diagramm der richtigen Zone zuordnen, Vergleichsmodus zwei Klimadiagramme nebeneinander analysieren, Lesehilfe-Erklärung wie man ein Klimadiagramm interpretiert Schritt für Schritt, Vegetationszonen-Verknüpfung passend zur Klimazone, Aufgaben-Modus typische Klausurfragen zu vorgelegtem Klimadiagramm, Fortschritts-Tracker analysierte Klimazonen, Druckansicht Klimadiagramme als Übungsblatt, GSAP Diagramm-Zeichnungs-Animationen - USE CASE: Schüler lernen die in Erdkundeklausuren häufig geforderte Klimadiagramm-Analyse anhand echter Städtedaten praxisnah, der Vergleichsmodus verdeutlicht Unterschiede zwischen Klimazonen anschaulicher als reine Tabellenwerte im Schulbuch. ## Kategorie 9: ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "overview": "entwickle einen Erdkunde-Klimadiagramm-Explorer-und-Vergleichs-Tool",
            "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
            "category_number": 8,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "Leaflet",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Schüler lernen die in Erdkundeklausuren häufig geforderte Klimadiagramm-Analyse anhand echter Städtedaten praxisnah, der Vergleichsmodus verdeutlicht Unterschiede zwischen Klimazonen anschaulicher als reine Tabellenwerte im Schulbuch. ## Kategorie 9: ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-481",
            "title": "erstelle einen Abitur-Mathe-Vorbereitungs-Trainer für NRW",
            "prompt_number": 481,
            "prompt": "erstelle einen Abitur-Mathe-Vorbereitungs-Trainer für NRW - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Analysis/Analytische-Geometrie/Stochastik entsprechend dem NRW-Zentralabitur-Kernlehrplan, Grund-und-Leistungskurs-Umschaltung mit passendem Anforderungsniveau, Hilfsmittelfreier-und-Hilfsmittel-Teil-Simulation getrennt wie im echten Abitur, GTR-Nutzungs-Hinweise wann grafikfähiger Taschenrechner im Abitur erlaubt ist, Musteraufgaben im Stil vergangener Abiturprüfungen NRW, Bewertungsschema-Simulation Punkte-zu-Note-Umrechnung nach offiziellem Schlüssel, Themenschwerpunkt-Statistik welche Inhalte in den letzten Jahren häufig geprüft wurden (ApexCharts Balken), Schwachstellenanalyse nach Themenblock (D3.js Radar), Formelsammlung-Verknüpfung zum Mathe-Nachschlagewerk, Countdown bis zum Abiturtermin, Zeitmanagement-Simulation realistische Bearbeitungszeit pro Aufgabenteil, GSAP Themenblock-Fortschritts-Animationen - USE CASE: Abiturienten in NRW bereiten sich gezielt auf die Struktur und Themenschwerpunkte des Zentralabiturs vor, die Bewertungssimulation macht nachvollziehbar wie viele Punkte für eine bestimmte Abiturnote nötig sind.",
            "overview": "erstelle einen Abitur-Mathe-Vorbereitungs-Trainer für NRW",
            "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "category_number": 9,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Abiturienten in NRW bereiten sich gezielt auf die Struktur und Themenschwerpunkte des Zentralabiturs vor, die Bewertungssimulation macht nachvollziehbar wie viele Punkte für eine bestimmte Abiturnote nötig sind.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-482",
            "title": "entwickle einen Abitur-Deutsch-Vorbereitungs-Trainer für Bayern",
            "prompt_number": 482,
            "prompt": "entwickle einen Abitur-Deutsch-Vorbereitungs-Trainer für Bayern - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aufgabenformate Textanalyse/Erörterung/Interpretation nach bayerischem Lehrplan G9, Pflichtlektüren-Übersicht mit Kurzzusammenfassungen und zentralen Interpretationsansätzen, Schreibplan-Generator Gliederungshilfe vor dem eigentlichen Aufsatz, Musteraufsätze mit Bewertungskommentaren nach bayerischem Punkteschema, Rhetorische-Mittel-Nachschlagewerk mit Beispielen aus Pflichtlektüren, Zeitmanagement-Simulation für die reale Prüfungsdauer, Themenschwerpunkt-Historie vergangener Abiturthemen in Bayern, Selbstkorrektur-Checkliste vor Abgabe eines Übungsaufsatzes, Fortschritts-Tracker geübte Aufgabenformate (ApexCharts Radial), Wortschatz-Erweiterung anspruchsvolle Formulierungen für Interpretationen, GSAP Schreibplan-Aufbau-Animationen - USE CASE: Abiturienten in Bayern üben die spezifischen Aufgabenformate des dortigen Deutsch-Abiturs mit bayern-spezifischen Pflichtlektüren, der Schreibplan-Generator hilft unter Zeitdruck eine klare Aufsatzstruktur zu entwickeln.",
            "overview": "entwickle einen Abitur-Deutsch-Vorbereitungs-Trainer für Bayern",
            "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "category_number": 9,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Abiturienten in Bayern üben die spezifischen Aufgabenformate des dortigen Deutsch-Abiturs mit bayern-spezifischen Pflichtlektüren, der Schreibplan-Generator hilft unter Zeitdruck eine klare Aufsatzstruktur zu entwickeln.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-483",
            "title": "programmiere einen Mittlere-Reife-Vorbereitungs-Trainer für Bayern",
            "prompt_number": 483,
            "prompt": "programmiere einen Mittlere-Reife-Vorbereitungs-Trainer für Bayern - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fachauswahl Mathematik/Deutsch/Englisch entsprechend der bayerischen Quali-und-Mittlere-Reife-Prüfungsstruktur, Aufgabenformate wie in echten Abschlussprüfungen nachgebildet, Themenschwerpunkt-Übersicht der letzten Prüfungsjahrgänge (ApexCharts Balken), Bewertungsschema-Simulation Punkte-zu-Note nach bayerischem System, Übungsklausuren mit realistischem Zeitlimit, Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Formelsammlung-und-Nachschlage-Verknüpfung während der Übung, Countdown bis zur Prüfung, Motivations-Hinweise gerade für Schüler mit Prüfungsangst vor dem ersten großen Schulabschluss, Fortschritts-Historie über mehrere Übungsdurchläufe, Elterninformations-Sektion Ablauf und Bedeutung der Mittleren Reife erklärt, GSAP Prüfungssimulations-Animationen - USE CASE: Realschüler in Bayern bereiten sich strukturiert auf ihre erste zentrale Abschlussprüfung vor, Eltern ohne eigene Erfahrung mit dem bayerischen System verstehen durch die Info-Sektion den Ablauf und die Bedeutung der Prüfung besser.",
            "overview": "programmiere einen Mittlere-Reife-Vorbereitungs-Trainer für Bayern",
            "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "category_number": 9,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Realschüler in Bayern bereiten sich strukturiert auf ihre erste zentrale Abschlussprüfung vor, Eltern ohne eigene Erfahrung mit dem bayerischen System verstehen durch die Info-Sektion den Ablauf und die Bedeutung der Prüfung besser.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-484",
            "title": "baue einen Hauptschulabschluss-Vorbereitungs-Trainer Deutsch-und-Mathe",
            "prompt_number": 484,
            "prompt": "baue einen Hauptschulabschluss-Vorbereitungs-Trainer Deutsch-und-Mathe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Grundlagen-orientierte Übungsaufgaben angepasst an das Anforderungsniveau des Hauptschulabschlusses, Praxisnahe-Textaufgaben Alltags-und-Berufsbezug in Mathematik, Bewerbungsschreiben-und-Lebenslauf-Übungsmodul als Zusatzbaustein zur Berufsorientierung, Lesekompetenz-Training mit alltagsnahen Texten für den Deutsch-Teil, Einfache-verständliche-Erklärungen ohne komplizierten Fachjargon, Ermutigende-Rückmeldungen bei Fehlern statt entmutigender Bewertung, Fortschritts-Tracker mit kleinen erreichbaren Etappenzielen (ApexCharts Balken), Übungsklausuren mit realistischem Zeitlimit, Schwachstellenanalyse nach Themenbereich, Elternhinweise wie zuhause unterstützt werden kann ohne Überforderung, Offline-Nutzung als PWA, GSAP Etappen-Erfolgs-Animationen - USE CASE: Hauptschüler mit teils schwierigem Zugang zu klassischen Lernformaten bereiten sich mit alltagsnahen und ermutigenden Übungen auf ihren Abschluss vor, die kleinschrittige Erfolgsdarstellung fördert Durchhaltevermögen auch bei Schülern mit bisherigen Frustrationserfahrungen in der Schule.",
            "overview": "baue einen Hauptschulabschluss-Vorbereitungs-Trainer Deutsch-und-Mathe",
            "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "category_number": 9,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Hauptschüler mit teils schwierigem Zugang zu klassischen Lernformaten bereiten sich mit alltagsnahen und ermutigenden Übungen auf ihren Abschluss vor, die kleinschrittige Erfolgsdarstellung fördert Durchhaltevermögen auch bei Schülern mit bisherigen Frustrationserfahrungen in der Schule.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-485",
            "title": "erstelle einen Notenschnitt-Rechner für das Abitur NRW",
            "prompt_number": 485,
            "prompt": "erstelle einen Notenschnitt-Rechner für das Abitur NRW - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe aller Kursnoten der Qualifikationsphase Q1 und Q2 nach NRW-Punktesystem, Automatische Berechnung der Gesamtqualifikation nach offizieller Formel Block-1-und-Block-2, Abiturprüfungsnoten-Simulation Auswirkung verschiedener Prüfungsergebnisse auf die Endnote, Zielnoten-Rechner welche Prüfungsleistung für eine gewünschte Abiturdurchschnittsnote nötig ist, Visualisierung Notenzusammensetzung nach Anteilen (ApexCharts Donut), Warnhinweis bei Unterschreitung der Mindestpunktzahl-Kriterien, Vergleichsrechnung verschiedene Szenarien nebeneinander, Fach-Gewichtung-Erklärung Leistungskurse doppelt gewichtet transparent dargestellt, Verlaufs-Speicherung mehrerer Rechendurchläufe, Export Berechnung als PDF für die eigene Übersicht, Erklär-Tutorial zum komplexen NRW-Punktesystem für Schüler und Eltern, GSAP Notenberechnungs-Animationen - USE CASE: Abiturienten in NRW verstehen frühzeitig wie sich einzelne Klausurnoten konkret auf die Abiturdurchschnittsnote auswirken, der Zielnoten-Rechner zeigt realistisch welche Prüfungsleistung für ein angestrebtes Wunschergebnis noch erreicht werden muss.",
            "overview": "erstelle einen Notenschnitt-Rechner für das Abitur NRW",
            "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "category_number": 9,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Abiturienten in NRW verstehen frühzeitig wie sich einzelne Klausurnoten konkret auf die Abiturdurchschnittsnote auswirken, der Zielnoten-Rechner zeigt realistisch welche Prüfungsleistung für ein angestrebtes Wunschergebnis noch erreicht werden muss.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-486",
            "title": "entwickle einen Abitur-Altklausuren-Generator für Mathe-und-Physik",
            "prompt_number": 486,
            "prompt": "entwickle einen Abitur-Altklausuren-Generator für Mathe-und-Physik - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aufgabenpool im Stil vergangener Abiturklausuren nach Themenbereich kategorisiert, Zufalls-Zusammenstellung einer vollständigen Klausur aus dem Pool, Zeitlimit exakt wie in der echten Abiturprüfung, Musterlösungen mit vollständigem Lösungsweg und Punkteverteilung, Themenhäufigkeits-Statistik über mehrere Prüfungsjahrgänge (ApexCharts Balken), Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Bewertungsschema-Simulation Punkte-zu-Note, Fortschritts-Historie über mehrere Übungsklausuren, Formelsammlung-Verknüpfung während der Bearbeitung erlaubt wie im echten Abitur, Druckansicht als vollständige Übungsklausur, Wiederholungsmodus nur bisher schwach gelöste Themen, GSAP Klausur-Zusammenstellungs-Animationen - USE CASE: Abiturienten üben unter realistischen Bedingungen mit Aufgaben die sich strukturell an echten früheren Abiturklausuren orientieren, die Themenhäufigkeits-Statistik hilft die Lernzeit auf die erfahrungsgemäß am häufigsten geprüften Inhalte zu konzentrieren.",
            "overview": "entwickle einen Abitur-Altklausuren-Generator für Mathe-und-Physik",
            "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "category_number": 9,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Abiturienten üben unter realistischen Bedingungen mit Aufgaben die sich strukturell an echten früheren Abiturklausuren orientieren, die Themenhäufigkeits-Statistik hilft die Lernzeit auf die erfahrungsgemäß am häufigsten geprüften Inhalte zu konzentrieren.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-487",
            "title": "programmiere einen Abitur-Englisch-Vorbereitungs-Trainer Textproduktion-und-Hörverstehen",
            "prompt_number": 487,
            "prompt": "programmiere einen Abitur-Englisch-Vorbereitungs-Trainer Textproduktion-und-Hörverstehen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Aufgabenformate Comment/Analysis/Mediation nach gängigem Abitur-Anforderungsprofil, Textproduktions-Trainer mit Schreibplan-Gliederungshilfe vor dem eigentlichen Essay, Hörverstehen-Modul mit Audio-Wiedergabe und Verständnisfragen, Wortschatz-Bausteine für Analyse und Argumentation auf Abitur-Niveau, Musteraufsätze mit Bewertungskommentaren nach Punkteschema, Zeitmanagement-Simulation für die reale Prüfungsdauer, Themenschwerpunkte historisch behandelter Abiturthemen als Orientierung, Selbstkorrektur-Checkliste Grammatik und Struktur vor Abgabe, Fortschritts-Tracker geübte Aufgabenformate (ApexCharts Radial), Mediation-Übungen Deutsch-Englisch-Transferaufgaben, GSAP Essay-Struktur-Animationen - USE CASE: Abiturienten üben die anspruchsvollen Textproduktions- und Mediationsaufgaben des Englisch-Abiturs praxisnah, das separate Hörverstehen-Modul bereitet gezielt auf den oft unterschätzten Hörverstehensteil vor.",
            "overview": "programmiere einen Abitur-Englisch-Vorbereitungs-Trainer Textproduktion-und-Hörverstehen",
            "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "category_number": 9,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Abiturienten üben die anspruchsvollen Textproduktions- und Mediationsaufgaben des Englisch-Abiturs praxisnah, das separate Hörverstehen-Modul bereitet gezielt auf den oft unterschätzten Hörverstehensteil vor.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-488",
            "title": "baue einen Abitur-Latein-Vorbereitungs-Trainer Übersetzung-und-Interpretation",
            "prompt_number": 488,
            "prompt": "baue einen Abitur-Latein-Vorbereitungs-Trainer Übersetzung-und-Interpretation - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Textkorpus klassischer Abitur-Autoren Cicero/Ovid/Caesar mit steigendem Schwierigkeitsgrad, Übersetzungs-Editor mit Wort-für-Wort-Hilfe optional einblendbar, Interpretations-Leitfragen-Katalog passend zum Textabschnitt, Grammatik-Wiederholungs-Module zu Konstruktionen die im Abitur häufig vorkommen, Klausur-Simulation mit Zeitlimit und Punkteverteilung nach echtem Bewertungsschema, Stilmittel-Nachschlagewerk mit Beispielen aus den Prüfungsautoren, Vokabel-Wiederholung aus bereits bearbeiteten Prüfungstexten verknüpft mit dem Latein-Vokabeltrainer, Fortschritts-Historie über mehrere Übungstexte (ApexCharts Balken), Kulturhistorischer-Kontext zu jedem Autor kompakt erklärt, Countdown bis zur Abiturprüfung, GSAP Text-Interpretations-Animationen - USE CASE: Lateinschüler im Abitur üben mit Originaltexten der tatsächlich im Lehrplan verankerten Prüfungsautoren, die Verknüpfung zum Vokabeltrainer schließt gezielt Wortschatzlücken die bei Übersetzungen im Abitur häufig zu Punktabzug führen.",
            "overview": "baue einen Abitur-Latein-Vorbereitungs-Trainer Übersetzung-und-Interpretation",
            "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "category_number": 9,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Lateinschüler im Abitur üben mit Originaltexten der tatsächlich im Lehrplan verankerten Prüfungsautoren, die Verknüpfung zum Vokabeltrainer schließt gezielt Wortschatzlücken die bei Übersetzungen im Abitur häufig zu Punktabzug führen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-489",
            "title": "erstelle ein Bundesland-Vergleichs-Tool für Abitur-Anforderungen",
            "prompt_number": 489,
            "prompt": "erstelle ein Bundesland-Vergleichs-Tool für Abitur-Anforderungen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichsübersicht Abitur-Struktur nach Bundesland NRW/Bayern/Baden-Württemberg/weitere, Fach-und-Prüfungsformat-Unterschiede tabellarisch gegenübergestellt, Punktesystem-Vergleich wie sich Noten zwischen den Bundesländern unterscheiden, G8-vs-G9-Erklärung mit Auswirkung auf die Vorbereitungszeit, Umzugs-Ratgeber-Sektion was bei Schulwechsel zwischen Bundesländern während der Oberstufe zu beachten ist, Zentralabitur-vs-dezentrales-Abitur-Erklärung welche Bundesländer welches System nutzen, Themenschwerpunkt-Unterschiede pro Bundesland bei gleichem Fach, Interaktive Deutschlandkarte zur Auswahl des Bundeslands (D3.js), Quellenverweis-Hinweis auf offizielle Kultusministerkonferenz-Regelungen, Suchfunktion nach spezifischer Fragestellung, Export Vergleichsübersicht als PDF, GSAP Bundesland-Auswahl-Animationen - USE CASE: Familien die während der Oberstufe umziehen verstehen welche Unterschiede im Abitursystem des neuen Bundeslands auf ihr Kind zukommen, Nachhilfelehrer die bundeslandübergreifend unterrichten behalten die unterschiedlichen Anforderungsprofile im Blick.",
            "overview": "erstelle ein Bundesland-Vergleichs-Tool für Abitur-Anforderungen",
            "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "category_number": 9,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Familien die während der Oberstufe umziehen verstehen welche Unterschiede im Abitursystem des neuen Bundeslands auf ihr Kind zukommen, Nachhilfelehrer die bundeslandübergreifend unterrichten behalten die unterschiedlichen Anforderungsprofile im Blick.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-490",
            "title": "entwickle einen Abschlussprüfungs-Angst-und-Zeitmanagement-Coach für Abiturienten",
            "prompt_number": 490,
            "prompt": "entwickle einen Abschlussprüfungs-Angst-und-Zeitmanagement-Coach für Abiturienten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Countdown-Übersicht bis zu allen Abiturprüfungsterminen mit verbleibenden Vorbereitungstagen pro Fach, Realistischer-Lernplan-Generator unter Berücksichtigung mehrerer paralleler Abiturfächer, Prüfungsangst-Übungen speziell für die besondere Drucksituation des Abiturs, Zeitmanagement-Simulator wie die Bearbeitungszeit in echten Abiturklausuren typischerweise sinnvoll aufgeteilt wird, Erfahrungsberichte-Sektion-Mockup wie andere Abiturienten die Belastung bewältigt haben, Pausenrhythmus-Empfehlung während der intensiven Vorbereitungsphase, Stimmungs-Tracker über die gesamte Abiturzeit hinweg (ApexCharts Linie), Motivations-Erinnerungen an bereits erreichte Etappen der Schullaufbahn, Elterninfo-Sektion wie in dieser besonders belastenden Phase unterstützt werden kann, Notfall-Kontakt-Hinweis bei ernsthafter Überforderung professionelle Beratungsstellen, Offline-Nutzung ohne Internet, GSAP Countdown-und-Beruhigungs-Animationen - USE CASE: Abiturienten in der besonders belastenden Prüfungsphase mit mehreren Klausuren in kurzer Zeit organisieren Vorbereitung und mentale Balance gemeinsam, der Notfall-Kontakt-Hinweis stellt sicher dass bei echter Überforderung auf professionelle Hilfe statt nur auf die App verwiesen wird. ## Kategorie 10: GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "overview": "entwickle einen Abschlussprüfungs-Angst-und-Zeitmanagement-Coach für Abiturienten",
            "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
            "category_number": 9,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Abiturienten in der besonders belastenden Prüfungsphase mit mehreren Klausuren in kurzer Zeit organisieren Vorbereitung und mentale Balance gemeinsam, der Notfall-Kontakt-Hinweis stellt sicher dass bei echter Überforderung auf professionelle Hilfe statt nur auf die App verwiesen wird. ## Kategorie 10: GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-491",
            "title": "erstelle einen Einmaleins-Trainer im Spiel-Format für die Grundschule",
            "prompt_number": 491,
            "prompt": "erstelle einen Einmaleins-Trainer im Spiel-Format für die Grundschule - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Große kindgerechte Zahlen-Buttons statt kleiner Bedienelemente, Einmaleins-Reihen 1er bis 10er einzeln oder gemischt übbar, Spielfigur-Fortschritt läuft über einen bunten Lernpfad bei richtigen Antworten, Sofortiges freundliches Feedback mit Symbolen statt Textfehlermeldungen, Sternesammlung pro gemeisterter Einmaleins-Reihe, Zeitloser-Übungsmodus ohne Druck für unsichere Kinder, Wettrenn-Modus mit Zeitmessung für sicherere Kinder optional, Elternansicht Fortschritt pro Reihe (ApexCharts Balken), Wiederholungs-Erinnerung für noch unsichere Reihen, Bildschirmzeit-Hinweis eingebaute freundliche Erinnerung nach 15-20 Minuten eine Pause zu machen, Keine Werbung und keine In-App-Käufe, GSAP Spielfigur-Lauf-Animationen - USE CASE: Grundschulkinder üben das Einmaleins spielerisch ohne den Druck einer klassischen Abfrage-Situation, Eltern sehen anhand der Elternansicht objektiv welche Reihen noch mehr Übung brauchen.",
            "overview": "erstelle einen Einmaleins-Trainer im Spiel-Format für die Grundschule",
            "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "category_number": 10,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Grundschulkinder üben das Einmaleins spielerisch ohne den Druck einer klassischen Abfrage-Situation, Eltern sehen anhand der Elternansicht objektiv welche Reihen noch mehr Übung brauchen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-492",
            "title": "entwickle ein Rechtschreib-Spiel Diktat-Abenteuer für die Grundschule",
            "prompt_number": 492,
            "prompt": "entwickle ein Rechtschreib-Spiel Diktat-Abenteuer für die Grundschule - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Abenteuer-Rahmenhandlung kindgerechte Geschichte mit Rechtschreib-Aufgaben als Etappen, Wortlisten nach Klassenstufe 1-4 mit steigendem Schwierigkeitsgrad, Vorlese-Funktion Wörter werden deutlich vorgesprochen, Buchstabier-Hilfe bei besonders schwierigen Wörtern, Freundliches-Feedback bei Fehlern ohne entmutigende Sprache, Fortschritts-Karte durch die Abenteuerwelt visualisiert (D3.js), Sammelobjekte als Belohnung für gemeisterte Wortlisten, Elternansicht welche Wortgruppen noch Übung brauchen (ApexCharts Balken), Wiederholungsmodus für schwierige Wörter eingebettet in die Geschichte, Bildschirmzeit-bewusstes Design mit eingebauten Pausenerinnerungen, Große kindgerechte Schrift und Bedienelemente, GSAP Abenteuer-Szenenwechsel-Animationen - USE CASE: Grundschulkinder üben Rechtschreibung eingebettet in eine motivierende Geschichte statt trockener Diktat-Wiederholung, die freundliche Fehler-Rückmeldung baut keine Versagensängste vor Diktaten auf.",
            "overview": "entwickle ein Rechtschreib-Spiel Diktat-Abenteuer für die Grundschule",
            "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "category_number": 10,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Grundschulkinder üben Rechtschreibung eingebettet in eine motivierende Geschichte statt trockener Diktat-Wiederholung, die freundliche Fehler-Rückmeldung baut keine Versagensängste vor Diktaten auf.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-493",
            "title": "programmiere eine Lese-Abenteuer-App für Leseverständnis in der Grundschule",
            "prompt_number": 493,
            "prompt": "programmiere eine Lese-Abenteuer-App für Leseverständnis in der Grundschule - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze altersgerechte Geschichten mit großer Schrift und Bild-Illustration-Platzhaltern, Verständnisfragen nach jedem Kapitel mit Multiple-Choice kindgerecht formuliert, Vorlese-Funktion für noch unsichere Leser als Unterstützung, Lesetempo-Anpassung eigenes Tempo ohne Zeitdruck, Fortschritts-Bibliothek gelesene Geschichten als bunte Bücherregal-Ansicht, Wortschatz-Erklärungen bei Klick auf unbekannte Wörter, Belohnungs-System neue Geschichten werden nach Abschluss freigeschaltet, Elternansicht Leseverständnis-Entwicklung über Zeit (ApexCharts Linie), Themenvielfalt Abenteuer/Tiere/Freundschaft altersgerecht ausgewählt, Bildschirmzeit-bewusste Sitzungslänge mit sanfter Erinnerung, Keine Werbung und kein Kaufdruck, GSAP Buch-Aufschlag-Animationen - USE CASE: Grundschulkinder trainieren Leseverständnis mit motivierenden altersgerechten Geschichten statt reiner Lehrbuchtexte, die Vorlese-Funktion unterstützt gerade leseschwächere Kinder ohne sie vom eigenständigen Üben auszuschließen.",
            "overview": "programmiere eine Lese-Abenteuer-App für Leseverständnis in der Grundschule",
            "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "category_number": 10,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Grundschulkinder trainieren Leseverständnis mit motivierenden altersgerechten Geschichten statt reiner Lehrbuchtexte, die Vorlese-Funktion unterstützt gerade leseschwächere Kinder ohne sie vom eigenständigen Üben auszuschließen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-494",
            "title": "baue ein Zahlenraum-Rechenspiel für die Grundschule ZR-20-100-1000",
            "prompt_number": 494,
            "prompt": "baue ein Zahlenraum-Rechenspiel für die Grundschule ZR-20-100-1000 - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zahlenraum-Auswahl 20/100/1000 passend zur Klassenstufe, Rechenoperationen Plus/Minus/später Mal/Geteilt schrittweise freigeschaltet, Bunte-Rechenhilfen visuelle Zehnerstangen und Hunderterfeld zur Veranschaulichung (D3.js), Spielerische-Verpackung Rechenaufgaben als Teil eines bunten Sammelspiels, Sofortiges kindgerechtes Feedback mit Symbolen, Schwierigkeitsgrad-Anpassung automatisch nach Erfolgsquote, Fortschritts-Sterne pro Zahlenraum-Stufe, Elternansicht Rechenfehler-Muster erkennen z.B. Zehnerübergang-Schwierigkeiten (ApexCharts Balken), Übungszeit-Empfehlung kurze Einheiten statt langer Sitzungen, Bildschirmzeit-bewusste Sitzungsbegrenzung mit freundlicher Erinnerung, Große Zahlen-Buttons für kleine Kinderhände, GSAP Zahlen-Sammel-Animationen - USE CASE: Grundschulkinder festigen Kopfrechnen im jeweils relevanten Zahlenraum mit visueller Unterstützung durch Zehnerstangen, die Elternansicht macht spezifische Schwierigkeiten wie Zehnerübergänge sichtbar für gezielte zusätzliche Übung.",
            "overview": "baue ein Zahlenraum-Rechenspiel für die Grundschule ZR-20-100-1000",
            "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "category_number": 10,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Grundschulkinder festigen Kopfrechnen im jeweils relevanten Zahlenraum mit visueller Unterstützung durch Zehnerstangen, die Elternansicht macht spezifische Schwierigkeiten wie Zehnerübergänge sichtbar für gezielte zusätzliche Übung.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-495",
            "title": "erstelle eine Buchstaben-Lern-App für Erstklässler",
            "prompt_number": 495,
            "prompt": "erstelle eine Buchstaben-Lern-App für Erstklässler - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buchstaben-Einführung einzeln mit großformatiger Darstellung Groß-und-Kleinbuchstabe, Nachspur-Übung Buchstabenform mit dem Finger oder der Maus nachfahren, Lautzuordnung Buchstabe mit passendem Anlaut-Bild verknüpft, Einfache-Wort-Bildung erste kurze Wörter aus gelernten Buchstaben zusammensetzen, Fortschritts-Alphabet farbig markiert welche Buchstaben bereits gelernt wurden, Wiederholungsspiel bereits gelernte Buchstaben in Erinnerung halten, Elternansicht Lernfortschritt durchs Alphabet (ApexCharts Radial), Sehr einfache Bedienung nur Antippen keine komplexen Gesten nötig, Freundliche Sprachausgabe zur Unterstützung noch nicht lesender Kinder, Kurze Sitzungslänge kindgerecht mit automatischer Pausenerinnerung, Fröhliches aber ruhiges Farbdesign ohne Reizüberflutung, GSAP Buchstaben-Nachspur-Animationen - USE CASE: Erstklässler und Vorschulkinder lernen das Alphabet spielerisch mit Bild- und Lautunterstützung, die sehr einfache Bedienung macht die App auch für Kinder nutzbar die noch nicht selbstständig lesen können.",
            "overview": "erstelle eine Buchstaben-Lern-App für Erstklässler",
            "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "category_number": 10,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Erstklässler und Vorschulkinder lernen das Alphabet spielerisch mit Bild- und Lautunterstützung, die sehr einfache Bedienung macht die App auch für Kinder nutzbar die noch nicht selbstständig lesen können.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-496",
            "title": "entwickle ein Sachunterricht-Quiz-Abenteuer für die Grundschule",
            "prompt_number": 496,
            "prompt": "entwickle ein Sachunterricht-Quiz-Abenteuer für die Grundschule - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenwelten Tiere/Jahreszeiten/Verkehrssicherheit/Körper nach Sachunterricht-Lehrplan, Bild-basierte Quizfragen mit großen kindgerechten Illustrationen, Entdecker-Karte durch die verschiedenen Themenwelten (D3.js), Freundliches-Feedback mit ermutigenden Symbolen bei jeder Antwort, Sammelkarten-Belohnung zu gelernten Themen, Elternansicht Themen-Fortschritt (ApexCharts Radial), Wiederholungsspiel bereits behandelter Themen in neuer Reihenfolge, Vorlese-Funktion für noch nicht sicher lesende Kinder, Kurze Quiz-Runden von wenigen Minuten statt langer Sitzungen, Bildschirmzeit-bewusste automatische Pausenerinnerung, Keine Werbung und kein Kaufdruck im gesamten Spiel, GSAP Themenwelt-Übergangs-Animationen - USE CASE: Grundschulkinder festigen Sachunterrichts-Wissen aus dem Schulalltag spielerisch zuhause, die Themenwelten orientieren sich direkt an typischen Sachunterrichts-Einheiten und ergänzen damit den Unterricht sinnvoll statt ihn zu ersetzen.",
            "overview": "entwickle ein Sachunterricht-Quiz-Abenteuer für die Grundschule",
            "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "category_number": 10,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Tailwind",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Grundschulkinder festigen Sachunterrichts-Wissen aus dem Schulalltag spielerisch zuhause, die Themenwelten orientieren sich direkt an typischen Sachunterrichts-Einheiten und ergänzen damit den Unterricht sinnvoll statt ihn zu ersetzen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-497",
            "title": "programmiere ein Kopfrechnen-Duell-Spiel für die Unterstufe",
            "prompt_number": 497,
            "prompt": "programmiere ein Kopfrechnen-Duell-Spiel für die Unterstufe - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zwei-Spieler-Modus am selben Gerät für Geschwister oder Klassenkameraden ohne Klarnamen nur Spielernamen frei wählbar, Rechenoperationen nach Klassenstufe anpassbar Plus/Minus/Einmaleins/Geteilt, Zeitlimit pro Runde mit Countdown-Anzeige, Punktestand-Anzeige live während des Duells, Schwierigkeitsgrad-Synchronisierung beide Spieler bekommen gleich schwere Aufgaben für Fairness, Einzelspieler-Modus gegen die eigene Bestzeit als Alternative, Rundenstatistik wer wie viele Aufgaben richtig hatte (ApexCharts Balken), Fair-Play-Hinweise gegenseitige Ermutigung statt Bloßstellung bei Fehlern, Highscore-Liste eigene Bestzeiten über mehrere Sitzungen, Kindgerechtes fröhliches Design, GSAP Duell-Punktestand-Animationen - USE CASE: Geschwister oder Freunde üben Kopfrechnen gemeinsam in einem motivierenden aber fairen Wettbewerbsformat, der Einzelspieler-Modus bietet eine druckfreie Alternative für Kinder die sich nicht mit anderen messen möchten.",
            "overview": "programmiere ein Kopfrechnen-Duell-Spiel für die Unterstufe",
            "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "category_number": 10,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Materialize",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Geschwister oder Freunde üben Kopfrechnen gemeinsam in einem motivierenden aber fairen Wettbewerbsformat, der Einzelspieler-Modus bietet eine druckfreie Alternative für Kinder die sich nicht mit anderen messen möchten.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-498",
            "title": "baue ein Belohnungs-Abzeichen-System für Grundschul-Lernapps übergreifend",
            "prompt_number": 498,
            "prompt": "baue ein Belohnungs-Abzeichen-System für Grundschul-Lernapps übergreifend - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale Abzeichen-Galerie die Fortschritte aus verschiedenen Lernbereichen Mathe/Lesen/Schreiben/Sachunterricht zusammenführt, Freischalt-Bedingungen pro Abzeichen klar und kindgerecht erklärt, Fortschrittsbalken zum nächsten Abzeichen sichtbar als Motivation, Sammelalbum-Ansicht wie ein digitales Stickerheft, Eltern-Konfiguration welche Belohnungen mit welchen Abzeichen verknüpft sind, Wochenrückblick gesammelte Abzeichen der Woche als kleine Feier, Fairness-Prinzip Abzeichen für Anstrengung und Übung nicht nur für Bestleistung, Statistik-Ansicht für Eltern welche Bereiche am meisten geübt wurden (ApexCharts Balken), Keine Vergleichs-Rangliste mit anderen Kindern bewusst weggelassen, Buntes aber übersichtliches kindgerechtes Design, Offline-Nutzung als PWA, GSAP Abzeichen-Freischalt-Konfetti-Animationen - USE CASE: Familien mit mehreren genutzten Lern-Apps bündeln die Motivation in einem gemeinsamen Belohnungssystem statt verstreuter Einzel-Erfolge, das bewusste Weglassen von Vergleichs-Ranglisten schützt jüngere Kinder vor unnötigem Leistungsdruck.",
            "overview": "baue ein Belohnungs-Abzeichen-System für Grundschul-Lernapps übergreifend",
            "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "category_number": 10,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bulma",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Familien mit mehreren genutzten Lern-Apps bündeln die Motivation in einem gemeinsamen Belohnungssystem statt verstreuter Einzel-Erfolge, das bewusste Weglassen von Vergleichs-Ranglisten schützt jüngere Kinder vor unnötigem Leistungsdruck.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-499",
            "title": "erstelle ein Uhrzeit-Lernen-Spiel für die Grundschule",
            "prompt_number": 499,
            "prompt": "erstelle ein Uhrzeit-Lernen-Spiel für die Grundschule - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktive analoge Uhr mit verschiebbaren Zeigern zum Einstellen vorgegebener Uhrzeiten, Digital-zu-analog-Zuordnungsspiel beide Darstellungsformen verknüpfen, Alltagssituationen-Aufgaben Schulbeginn/Mittagessen/Schlafenszeit mit passender Uhrzeit verbinden, Schwierigkeitsstufen volle-Stunde/halbe-Stunde/Minutengenau nach Klassenstufe, Sofortiges freundliches Feedback bei richtiger oder falscher Einstellung, Fortschritts-Sterne pro gemeisterter Schwierigkeitsstufe, Elternansicht welche Uhrzeit-Konzepte noch unsicher sind (ApexCharts Balken), Wiederholungsspiel für noch nicht gefestigte Zeitangaben, Kurze Übungseinheiten mit eingebauter Pausenerinnerung, Große kindgerechte Bedienelemente für die Zeiger-Verschiebung, Fröhliches ruhiges Farbdesign, GSAP Uhrzeiger-Bewegungs-Animationen - USE CASE: Grundschulkinder lernen das oft schwierige Konzept der Uhrzeit anhand konkreter Alltagssituationen statt abstrakter Zifferblätter, die Verknüpfung von analoger und digitaler Darstellung schließt eine häufige Verständnislücke zwischen beiden Anzeigeformen.",
            "overview": "erstelle ein Uhrzeit-Lernen-Spiel für die Grundschule",
            "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "category_number": 10,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Skeleton",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "IndexedDB"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Grundschulkinder lernen das oft schwierige Konzept der Uhrzeit anhand konkreter Alltagssituationen statt abstrakter Zifferblätter, die Verknüpfung von analoger und digitaler Darstellung schließt eine häufige Verständnislücke zwischen beiden Anzeigeformen.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "prompt_library",
            "record_id": "school-100:prompt-500",
            "title": "entwickle ein Grundschul-Lern-Dashboard mit bewusster Bildschirmzeit-Kontrolle",
            "prompt_number": 500,
            "prompt": "entwickle ein Grundschul-Lern-Dashboard mit bewusster Bildschirmzeit-Kontrolle - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale Startseite die zu verschiedenen Grundschul-Lernspielen Einmaleins/Rechtschreibung/Lesen/Uhrzeit führt, Eltern-Zeitfenster-Konfiguration wann und wie lange die Lernapps am Tag genutzt werden dürfen, Sanfte Sitzungsende-Erinnerung statt abruptem Abbruch mit Countdown-Vorwarnung, Gesamtübersicht genutzter Lernzeit pro Bereich für Eltern (ApexCharts Balken), Ausgewogenheits-Hinweis wenn ein Bereich stark vernachlässigt wird, Kindgerechte-Symbol-Navigation ohne Lesekompetenz-Voraussetzung, Wochenrückblick als gemeinsames Eltern-Kind-Ritual, Keine Weiterleitung zu externen Inhalten oder Werbung komplett geschlossenes System, Datenschutz-Hinweis alle Daten bleiben ausschließlich lokal auf dem Familiengerät, Mehrkind-Profile mit getrennten Zeitfenstern und Fortschritten, Offline-Nutzung als installierbare PWA für den ganzen Lernspiele-Verbund, GSAP Dashboard-Kachel-Animationen - USE CASE: Eltern von Grundschulkindern behalten über ein zentrales Dashboard die Kontrolle über Bildschirmzeit und Lerninhalte statt einzelne Apps separat verwalten zu müssen, die geschlossene werbefreie Systemarchitektur schützt jüngere Kinder vor unerwünschten externen Inhalten. === ENDE === ## Hinweis Dieser Batch ist an reale wiederkehrende Projektmuster aus dem eigenen HTML-MD-EXPORT-Archiv angelehnt, insbesondere: NACHHILFE (enthält u.a. \"Formelsammlung to go\" und \"5-Sprachen-Grammatik kompakt\", Vorlage für Kategorie 2 und 3), joojo (\"109 Übungstests fürs Gymnasium NRW – Eltern-/Schülerhandbuch\", direkte Vorlage für #408 und den NRW-Fokus in Kategorie 1 und 9), latina-v-klausur-trainer-ios-css-neu (Latein-Klausurtrainer, Vorlage für #404 und #488), sowie PWA-HISTORY-NACHHILFE und pwa-history (Geschichts-Nachhilfe-PWAs, Vorlage für #473 und #479). Alle 100 Prompts sind zusätzlich an konkreten deutschen Lehrplan- und Prüfungsdetails geerdet (NRW-Zentralabitur/ZP10, bayerisches G9-Abitur und Quali/Mittlere Reife, gängige Lehrwerk-Strukturen in Fremdsprachen, Kernlehrplan-Kompetenzbereiche) und durchgängig datenschutzbewusst für eine minderjährige Zielgruppe konzipiert: keine Klarnamen-Pflicht, keine Fotos von Kindern, keine Werbung oder Kaufanreize in Grundschul-Apps, alle Daten lokal in LocalStorage/IndexedDB statt Cloud-Erhebung.",
            "overview": "entwickle ein Grundschul-Lern-Dashboard mit bewusster Bildschirmzeit-Kontrolle",
            "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
            "category_number": 10,
            "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
            "tech_stack": [
              "Bootstrap5",
              "Alpine.js",
              "ApexCharts",
              "D3.js",
              "GSAP",
              "LocalStorage"
            ],
            "tags": [
              "prompts",
              "batch-generation",
              "html5",
              "frontend-only",
              "schule",
              "nachhilfe",
              "k12",
              "pruefungsvorbereitung",
              "abitur",
              "formelsammlung",
              "vokabeltrainer"
            ],
            "use_case": "Eltern von Grundschulkindern behalten über ein zentrales Dashboard die Kontrolle über Bildschirmzeit und Lerninhalte statt einzelne Apps separat verwalten zu müssen, die geschlossene werbefreie Systemarchitektur schützt jüngere Kinder vor unerwünschten externen Inhalten. === ENDE === ## Hinweis Dieser Batch ist an reale wiederkehrende Projektmuster aus dem eigenen HTML-MD-EXPORT-Archiv angelehnt, insbesondere: NACHHILFE (enthält u.a. \"Formelsammlung to go\" und \"5-Sprachen-Grammatik kompakt\", Vorlage für Kategorie 2 und 3), joojo (\"109 Übungstests fürs Gymnasium NRW – Eltern-/Schülerhandbuch\", direkte Vorlage für #408 und den NRW-Fokus in Kategorie 1 und 9), latina-v-klausur-trainer-ios-css-neu (Latein-Klausurtrainer, Vorlage für #404 und #488), sowie PWA-HISTORY-NACHHILFE und pwa-history (Geschichts-Nachhilfe-PWAs, Vorlage für #473 und #479). Alle 100 Prompts sind zusätzlich an konkreten deutschen Lehrplan- und Prüfungsdetails geerdet (NRW-Zentralabitur/ZP10, bayerisches G9-Abitur und Quali/Mittlere Reife, gängige Lehrwerk-Strukturen in Fremdsprachen, Kernlehrplan-Kompetenzbereiche) und durchgängig datenschutzbewusst für eine minderjährige Zielgruppe konzipiert: keine Klarnamen-Pflicht, keine Fotos von Kindern, keine Werbung oder Kaufanreize in Grundschul-Apps, alle Daten lokal in LocalStorage/IndexedDB statt Cloud-Erhebung.",
            "source": "school-100.md",
            "source_path": "school-100.md",
            "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
            "is_local_project": false,
            "is_prompt": true,
            "is_stack_candidate": false
          }
        ]
      },
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        "catalog_id": "replit-stack-snapshot",
        "title": "Curated Replit Stack Snapshot",
        "description": "Normalized inventory from replit-stack-komplett.txt with explicit local-export match status.",
        "source": "replit-stack-komplett.txt",
        "source_path": "replit-stack-komplett-kuratiert.txt",
        "count": 618,
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          "Snapshot · Draft",
          "Snapshot · Failed",
          "Snapshot · Published"
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            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
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            "archive_status": "missing",
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            "source": "replit-stack-komplett.txt",
            "source_path": "replit-stack-komplett-kuratiert.txt",
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            "project": "StockSentinel",
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            "cluster": "Replit Stack Snapshot",
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            "match_kind": "exact",
            "archive_matches": [
              "StockSentinel"
            ],
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            "source": "replit-stack-komplett.txt",
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            "source": "replit-stack-komplett.txt",
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            "record_id": "stack-snapshot:0043:secretkeymanager",
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            "project": "SecretKeyManager",
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            "source": "replit-stack-komplett.txt",
            "source_path": "replit-stack-komplett-kuratiert.txt",
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            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0048:iapologizebuticannotandwillnotassistyouwithhand",
            "title": "I apologize, but I cannot and will not assist you with hand",
            "project": "I apologize, but I cannot and will not assist you with hand",
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            "record_id": "stack-snapshot:0053:datasciencetoolkit",
            "title": "DataScienceToolkit",
            "project": "DataScienceToolkit",
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            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
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            "overview": "Draft · archive=exported · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
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            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0059:globalfintechmarche",
            "title": "GlobalFinTechMarche",
            "project": "GlobalFinTechMarche",
            "category": "Snapshot · Draft",
            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
            "archive_status": "missing",
            "match_kind": "none",
            "archive_matches": [],
            "overview": "Draft · archive=missing · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
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            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0064:youtubetranscriptfetcher",
            "title": "YouTubeTranscriptFetcher",
            "project": "YouTubeTranscriptFetcher",
            "category": "Snapshot · Draft",
            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
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            "source": "replit-stack-komplett.txt",
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            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0069:nftarchive",
            "title": "NftArchive",
            "project": "NftArchive",
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            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
            "archive_status": "missing",
            "match_kind": "none",
            "archive_matches": [],
            "overview": "Draft · archive=missing · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
            "source_path": "replit-stack-komplett-kuratiert.txt",
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            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0074:aitubecompanion",
            "title": "AiTubeCompanion",
            "project": "AiTubeCompanion",
            "category": "Snapshot · Draft",
            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
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            "overview": "Draft · archive=missing · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
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            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0079:websitenavigator",
            "title": "WebsiteNavigator",
            "project": "WebsiteNavigator",
            "category": "Snapshot · Draft",
            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
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            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0085:chatroomgpt",
            "title": "ChatRoomGpt",
            "project": "ChatRoomGpt",
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            "cluster": "Replit Stack Snapshot",
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            "record_id": "stack-snapshot:0090:amazonassistant",
            "title": "AmazonAssistant",
            "project": "AmazonAssistant",
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            "record_id": "stack-snapshot:0096:emailcraftpro",
            "title": "EmailCraftPro",
            "project": "EmailCraftPro",
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            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
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            "archive_status": "missing",
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            "archive_matches": [],
            "overview": "Draft · archive=missing · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
            "source_path": "replit-stack-komplett-kuratiert.txt",
            "tags": [
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              "draft",
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            "record_id": "stack-snapshot:0101:scriptenhancer",
            "title": "ScriptEnhancer",
            "project": "ScriptEnhancer",
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            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
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            "project": "DjangoSecureAuth",
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            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
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            "overview": "Draft · archive=missing · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
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            ],
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          },
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            "record_id": "stack-snapshot:0111:scaryscaredoctagons",
            "title": "ScaryScaredOctagons",
            "project": "ScaryScaredOctagons",
            "category": "Snapshot · Draft",
            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
            "archive_status": "missing",
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            "archive_matches": [],
            "overview": "Draft · archive=missing · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
            "source_path": "replit-stack-komplett-kuratiert.txt",
            "tags": [
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            ],
            "tech_stack": [],
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          },
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            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0116:universalaccess",
            "title": "UniversalAccess",
            "project": "UniversalAccess",
            "category": "Snapshot · Draft",
            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
            "archive_status": "missing",
            "match_kind": "none",
            "archive_matches": [],
            "overview": "Draft · archive=missing · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
            "source_path": "replit-stack-komplett-kuratiert.txt",
            "tags": [
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            "tech_stack": [],
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          },
          {
            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0121:aitextanalyzer",
            "title": "AITextAnalyzer",
            "project": "AITextAnalyzer",
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            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
            "archive_status": "missing",
            "match_kind": "none",
            "archive_matches": [],
            "overview": "Draft · archive=missing · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
            "source_path": "replit-stack-komplett-kuratiert.txt",
            "tags": [
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              "draft",
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            "tech_stack": [],
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            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0126:securekeyvault",
            "title": "SecureKeyVault",
            "project": "SecureKeyVault",
            "category": "Snapshot · Draft",
            "cluster": "Replit Stack Snapshot",
            "status": "Draft",
            "published_url": "",
            "created_estimate": "2024-09-07",
            "archive_status": "missing",
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            "archive_matches": [],
            "overview": "Draft · archive=missing · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
            "source_path": "replit-stack-komplett-kuratiert.txt",
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          },
          {
            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0132:symbolanalyzer",
            "title": "SymbolAnalyzer",
            "project": "SymbolAnalyzer",
            "category": "Snapshot · Published",
            "cluster": "Replit Stack Snapshot",
            "status": "Published",
            "published_url": "momentum-api.replit.app",
            "created_estimate": "2024-09-07",
            "archive_status": "exported",
            "match_kind": "exact",
            "archive_matches": [
              "SymbolAnalyzer"
            ],
            "overview": "Published · archive=exported · created≈2024-09-07",
            "source": "replit-stack-komplett.txt",
            "source_path": "replit-stack-komplett-kuratiert.txt",
            "tags": [
              "stack-snapshot",
              "published",
              "exported"
            ],
            "tech_stack": [],
            "is_snapshot_evidence": true,
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          },
          {
            "catalog_type": "stack_snapshot",
            "record_id": "stack-snapshot:0139:brokerbuddy",
            "title": "BrokerBuddy",
            "project": "BrokerBuddy",
            "category": "Snapshot · Draft",
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            "source": "replit-stack-komplett.txt",
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            "cluster": "Replit Stack Snapshot",
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            "created_estimate": "2026-09-05",
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            "project": "EBOOKS-AUFLAG-2",
            "category": "Snapshot · Published",
            "cluster": "Replit Stack Snapshot",
            "status": "Published",
            "published_url": "ebooks-auflag-2.replit.app",
            "created_estimate": "2026-09-06",
            "archive_status": "missing",
            "match_kind": "none",
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            "overview": "Published · archive=missing · created≈2026-09-06",
            "source": "replit-stack-komplett.txt",
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      },
      {
        "catalog_type": "root_file",
        "catalog_id": "root-files",
        "title": "Project Root Files",
        "description": "Every file directly in the project root, indexed as a source artifact.",
        "source": "project root",
        "source_path": ".",
        "count": 17,
        "categories": [
          "Root source artifact"
        ],
        "records": [
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            "catalog_type": "root_file",
            "record_id": "root-file:001:.gitattributes",
            "title": ".gitattributes",
            "category": "Root source artifact",
            "cluster": "Project root",
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            "title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
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            "overview": "--- project: 100-database-apps-complex-prompts category: Prompt-Bibliothek cluster: Datenbank-Apps aller Art tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, datenbank, crud, indexeddb, localstorage, sammlungen, inventar] --- # 100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700) ## Overview Batch 7 der Prompt-Bibliothek ist im Gegensatz zu den bisherigen sektor-basierten Batches winkel-basiert (\"angle-based\"): statt eine Branche oder Markenwelt zu covern, nimmt dieser Batch die Anwendungsklasse \"Datenbank-App\" selbst als Linse und wandert damit durch zehn völlig unterschiedliche reale Datendomänen — von der privaten Sammlung über Kontakte, Bibliotheken, Rezepte, Wissen,",
            "content": "---\nproject: 100-database-apps-complex-prompts\ncategory: Prompt-Bibliothek\ncluster: Datenbank-Apps aller Art\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, datenbank, crud, indexeddb, localstorage, sammlungen, inventar]\n---\n\n# 100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)\n\n## Overview\nBatch 7 der Prompt-Bibliothek ist im Gegensatz zu den bisherigen sektor-basierten Batches winkel-basiert (\"angle-based\"): statt eine Branche oder Markenwelt zu covern, nimmt dieser Batch die Anwendungsklasse \"Datenbank-App\" selbst als Linse und wandert damit durch zehn völlig unterschiedliche reale Datendomänen — von der privaten Sammlung über Kontakte, Bibliotheken, Rezepte, Wissen, Projekte, IT-Assets, Events, Gesundheit bis zur Genealogie. Da der gesamte Stack Frontend-Only HTML5-Apps ohne Anwendungsserver produziert (keine Node/PHP/Python-Backends, keine echten SQL-Server), gilt hier konsequent die etablierte Projekt-Prämisse: \"Datenbank\" bedeutet in diesem Kontext IndexedDB bzw. LocalStorage als client-seitige Persistenzschicht direkt im Browser. Jede der 100 Apps ist ein waschechtes CRUD-/Katalog-/Record-Management-Tool mit den Kernmerkmalen einer echten Datenbank-Anwendung — strukturierte Datensätze mit festen Feldern, Volltextsuche/Filter/Sortierung, Verknüpfungen zwischen verschiedenen Datensatz-Typen (Relationen), Import/Export als CSV/JSON, Duplikat-Erkennung, Datenvalidierungsregeln und Backup/Restore-Funktionen — nur eben ohne echten Server im Hintergrund. Es gibt bewusst keine \"verschiedenen Datenbank-Technologien\" zu covern, da es keinen Server-Unterbau gibt; stattdessen variiert dieser Batch systematisch die Datendomäne, auf die dasselbe Datenbank-App-Muster angewendet wird.\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße, 2500+ Zeilen Code, 250+ Components, 8+ GSAP-Animationen, Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books, kein Server, keine echte Datenbank-Engine)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts + D3.js + GSAP + LocalStorage/IndexedDB\n- Jede App zeigt durchgängig echte Datenbank-App-Muster: strukturierte Records mit Pflichtfeldern, Suche/Filter/Sortierung, Verknüpfung zwischen Datensatz-Typen, Import/Export CSV/JSON, Duplikat-Erkennung, Datenvalidierung, Backup/Restore sowie mindestens eine Statistik-/Chart-Ansicht (ApexCharts/D3.js) statt einer reinen Tabelle\n\n## Kategorie 1: PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)\n\n1. **#601** — erstelle eine Elektronik-Inventar-Datenbank mit Garantie-Tracking - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Geräte-Stammdaten Hersteller/Modell/Seriennummer/Kaufdatum/Kaufpreis, Garantie-Ablauf-Tracking mit Ampel-Warnung nahender Fristen, Raum-Zuordnung pro Gerät Wohnzimmer/Küche/Büro, Foto-Anhang pro Gerät als Beleg, Kaufbeleg-Upload-Mockup Rechnung verknüpft, Volltextsuche mit Filtern nach Kategorie/Raum/Hersteller, Sortierbare Tabellenansicht nach Kaufdatum/Wert/Garantie-Status, Verknüpfung zu Versicherungs-Datensätzen bei Diebstahl/Schaden, Duplikat-Erkennung bei Seriennummer-Eingabe, Datenvalidierung Pflichtfelder und Preisformat vor Speichern, Import/Export als CSV und JSON für Versicherungsmeldungen, Backup/Restore-Funktion gesamte Inventar-Datenbank, Gesamtwert-Dashboard nach Raum und Kategorie (ApexCharts Treemap), GSAP Karten-Einblend-Animationen bei neuen Einträgen - USE CASE: Haushalte dokumentieren den Wiederbeschaffungswert ihrer Elektronikgeräte lückenlos für den Schadensfall, Versicherungsnehmer liefern im Schadensfall sofort eine vollständige belegte Liste statt aus dem Gedächtnis zu rekonstruieren.\n\n2. **#602** — entwickle eine Möbel-Inventar-Datenbank mit Zustands-Historie - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Möbelstück-Stammdaten Hersteller/Material/Kaufdatum/Kaufpreis/Zustand, Zustands-Historie mit Fotos über Zeit, Raum-Grundriss-Zuordnung welches Möbel in welchem Zimmer, Reparatur-und-Pflege-Log pro Möbelstück, Volltextsuche mit Filtern nach Raum/Material/Zustand, Sortierbare Ansicht nach Wert/Alter/Zustand, Verknüpfung zu Kaufbelegen und Herstellergarantien, Duplikat-Erkennung bei ähnlichen Einträgen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Umzugsplanung, Backup/Restore gesamter Möbel-Datenbestand, Wertverlust-Simulation über Zeit (ApexCharts Line), Umzugs-Checkliste-Modus alle Möbel eines Raums, GSAP Raum-Wechsel-Animationen - USE CASE: Mieter und Eigentümer dokumentieren ihren Möbelbestand für Umzüge und Versicherungsfälle systematisch, die Zustands-Historie schafft Nachweise bei Streitigkeiten über Möbelschäden.\n\n3. **#603** — programmiere eine Werkzeug- und Heimwerker-Inventar-Datenbank mit Garantie/Leihstatus - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Werkzeug-Stammdaten Typ/Hersteller/Kaufdatum/Garantie-Ablauf, Leihstatus-Tracking wer hat welches Werkzeug gerade ausgeliehen, Standort-Zuordnung Werkstatt/Keller/Garage-Regal, Wartungs-Intervall-Erinnerung für Akkugeräte/Maschinen, Volltextsuche mit Filtern nach Kategorie/Standort/Verfügbarkeit, Sortierbare Ansicht nach Kaufdatum/Garantie-Status/Nutzungshäufigkeit, Verknüpfung zwischen Werkzeug und Projekten wofür verwendet, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON, Backup/Restore-Funktion, Nutzungsstatistik meistgenutzte Werkzeuge (ApexCharts Balken), Rückgabe-Erinnerung überfällige Leihgaben, GSAP Regal-Ansicht-Animationen - USE CASE: Heimwerker behalten trotz wachsender Werkzeugsammlung den Überblick über Standort und Garantiestatus, verliehene Werkzeuge an Nachbarn oder Familie werden nicht mehr vergessen.\n\n4. **#604** — baue einen Münzsammlung-Katalog (Numismatik) - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Münz-Katalogdaten Prägejahr/Nominal/Land/Erhaltungsgrad/Material, Katalognummer-Verknüpfung Referenzwerke, Foto-Dokumentation Vorder-und-Rückseite pro Münze, Marktwert-Schätzung-Feld mit Verlaufs-Historie, Volltextsuche mit Filtern nach Land/Epoche/Erhaltungsgrad, Sortierbare Sammlung nach Wert/Jahr/Seltenheit, Verknüpfung zu Erwerbs-Belegen und Händlerkontakten, Duplikat-Erkennung gleiche Münze bereits erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Versicherungsnachweis, Backup/Restore gesamte Sammlung, Sammlungswert-Entwicklung über Zeit (ApexCharts Line), Wunschlisten-Modus fehlende Münzen einer Serie, GSAP Vitrinen-Ansicht-Animationen - USE CASE: Münzsammler katalogisieren ihre wachsende Sammlung strukturiert statt in Karteikarten oder Excel, der geschätzte Gesamtwert dient als Nachweis gegenüber der Hausratversicherung.\n\n5. **#605** — erstelle einen Briefmarkensammlung-Katalog (Philatelie) - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Briefmarken-Stammdaten Ausgabejahr/Land/Motiv/Zähnung/Erhaltungszustand, Album-Seiten-Zuordnung virtuelle Anordnung, Katalognummer-Referenz Michel/Yvert, Foto-Scan-Anhang pro Marke, Volltextsuche mit Filtern nach Land/Motiv/Jahr, Sortierbare Ansicht nach Wert/Seltenheit/Zustand, Verknüpfung zu Themenserien zusammengehörige Ausgaben, Duplikat-Erkennung beim Erfassen, Datenvalidierung Pflichtfelder und Jahresformat, Import/Export CSV/JSON, Backup/Restore-Funktion, Sammlungsstatistik nach Ländern und Epochen (ApexCharts Donut), Fehlbestands-Liste noch fehlende Marken einer Serie, GSAP Album-Blättern-Animationen - USE CASE: Philatelisten verwalten umfangreiche Sammlungen digital mit sofortigem Überblick über Lücken in Themenserien, die Album-Seiten-Zuordnung erleichtert die physische Neuordnung der realen Sammlung.\n\n6. **#606** — entwickle eine Vinyl-Sammlung-Katalog-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schallplatten-Stammdaten Interpret/Album/Pressjahr/Label/Zustand-Cover-und-Vinyl, Genre- und Stimmungs-Tags, Hörprotokoll wann zuletzt gespielt, Wert-Schätzung nach Presswerk und Seltenheit, Volltextsuche mit Filtern nach Interpret/Genre/Jahrzehnt, Sortierbare Regalansicht nach Label/Zustand/Wert, Verknüpfung zu Konzertbesuchen oder Erinnerungen pro Album, Duplikat-Erkennung bereits vorhandene Pressung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Versicherung, Backup/Restore gesamte Sammlung, Sammlungswert- und Genre-Verteilung (ApexCharts Treemap), Wunschliste noch fehlende Pressungen, GSAP Plattencover-Flip-Animationen - USE CASE: Vinyl-Sammler dokumentieren Presswerk-Details und Zustand für den Wiederverkaufswert präzise, Musikliebhaber erhalten einen visuellen Überblick über Jahrzehnte und Genres der eigenen Sammlung.\n\n7. **#607** — programmiere eine Weinkeller-Datenbank mit Trinkreife-Tracking - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wein-Stammdaten Weingut/Jahrgang/Rebsorte/Region/Trinkreife-Fenster, Lagerort-Zuordnung Regal/Fach im Weinkeller, Trinkreife-Erinnerung optimales Trinkfenster mit Ampel, Verkostungsnotizen pro Flasche mit Bewertung, Volltextsuche mit Filtern nach Region/Rebsorte/Jahrgang, Sortierbare Ansicht nach Trinkreife/Wert/Lagerort, Verknüpfung zu Menü-Empfehlungen Speise-Wein-Pairing, Duplikat-Erkennung gleiche Flasche mehrfach erfasst, Datenvalidierung Pflichtfelder und Jahrgangs-Plausibilität, Import/Export CSV/JSON für Versicherungswert, Backup/Restore-Funktion, Bestandswert- und Trinkreife-Übersicht (ApexCharts Gauge), Nachkauf-Erinnerung bei Lieblingsweinen zur Neige, GSAP Regal-Fach-Animationen - USE CASE: Weinliebhaber behalten bei wachsendem Bestand den Überblick welche Flasche wann getrunken werden sollte, Sammler mit Investment-Weinen dokumentieren Lagerbedingungen und Wert für Versicherung und Wiederverkauf.\n\n8. **#608** — baue einen generalisierten Sammelobjekte-Katalog Comics/Actionfiguren/Modellautos - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kategorie-übergreifende Sammelobjekt-Stammdaten Sammelkarten/Comics/Actionfiguren/Modellautos mit Zustandsgrad, Seltenheits-Klassifizierung pro Objekttyp, Foto-Dokumentation mehrere Ansichten pro Objekt, Erwerbs-Historie Kaufpreis und Quelle, Volltextsuche mit Filtern nach Kategorie/Serie/Zustand, Sortierbare Sammlung nach Wert/Seltenheit/Erwerbsdatum, Verknüpfung zwischen zusammengehörigen Sets und Serien, Duplikat-Erkennung beim Erfassen neuer Objekte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Sammlungswert-Entwicklung nach Kategorie (ApexCharts Balken), Vollständigkeits-Tracker fehlende Objekte einer Serie, GSAP Vitrinen-Karten-Animationen - USE CASE: Sammler verschiedenster Nischen von Comics bis Modellautos nutzen eine einzige flexible Datenbank statt spezialisierter Einzeltools, die Vollständigkeits-Anzeige motiviert zum gezielten Nachkauf fehlender Serienobjekte.\n\n9. **#609** — erstelle ein Hausrat-Versicherungsregister für Vermögensgegenstände - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vermögensgegenstand-Stammdaten Kategorie/Anschaffungswert/Wiederbeschaffungswert/Kaufdatum, Verknüpfung zu Kaufbelegen und Fotos als Schadensnachweis, Raum-Zuordnung für Schadenslokalisierung, Versicherungspolicen-Zuordnung welcher Gegenstand über welche Police läuft, Volltextsuche mit Filtern nach Kategorie/Raum/Wertklasse, Sortierbare Ansicht nach Wert/Alter/Police, Verknüpfung zu Schadensfällen historisch gemeldete Vorfälle, Duplikat-Erkennung bei Mehrfacherfassung, Datenvalidierung Pflichtfelder und Wertformat vor Speichern, Import/Export CSV/JSON als Beleg für Versicherer, Backup/Restore-Funktion Gesamtregister, Gesamtwert-Dashboard nach Kategorie und Raum (ApexCharts Treemap), Unterversicherungs-Warnung bei Wertsprüngen, GSAP Dashboard-Update-Animationen - USE CASE: Haushalte erstellen ein versicherungstaugliches Vermögensregister das im Schadensfall sofort belastbare Nachweise liefert, die Unterversicherungs-Warnung hilft die Hausratversicherung rechtzeitig anzupassen.\n\n10. **#610** — entwickle eine Kunst- und Antiquitäten-Sammlung-Datenbank mit Provenienz - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kunstobjekt-Stammdaten Künstler/Epoche/Technik/Maße/Erwerbsjahr, Provenienz-Dokumentation lückenlose Besitzerkette, Zertifikats-und-Echtheitsnachweis-Anhang, Zustandsberichte über Zeit mit Restaurierungs-Historie, Volltextsuche mit Filtern nach Künstler/Epoche/Wertklasse, Sortierbare Ansicht nach Wert/Erwerbsjahr/Zustand, Verknüpfung zu Ausstellungen wo Objekt gezeigt wurde, Duplikat-Erkennung bei Katalogisierung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Gutachten und Versicherung, Backup/Restore gesamte Sammlung, Wertentwicklung nach Künstler und Epoche (ApexCharts Line), Versicherungswert-Gutachten-Erinnerung bei Fälligkeit, GSAP Galerie-Ansicht-Animationen - USE CASE: Kunstsammler dokumentieren Provenienz und Zustand ihrer Objekte lückenlos für Wiederverkauf und Versicherung, die Ausstellungs-Verknüpfung schafft einen nachvollziehbaren kulturhistorischen Werdegang jedes Stücks.\n\n## Kategorie 2: KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)\n\n11. **#611** — programmiere eine persönliche CRM-Kontaktdatenbank mit Beziehungs-Netzwerk - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kontakt-Stammdaten Name/Beziehungstyp/Kennenlern-Kontext/Kontaktdaten, Interaktions-Historie Anrufe/Treffen/Nachrichten chronologisch, Wiedervorlage-Erinnerung längere Zeit nicht gemeldet, Beziehungs-Netzwerk-Visualisierung wer kennt wen (D3.js Force-Graph), Volltextsuche mit Filtern nach Beziehungstyp/Tags/Ort, Sortierbare Ansicht nach letztem Kontakt/Wichtigkeit, Verknüpfung zwischen Kontakten und gemeinsamen Ereignissen, Duplikat-Erkennung ähnlicher Namen beim Anlegen, Datenvalidierung Pflichtfelder und E-Mail-Format, Import/Export CSV/vCard/JSON, Backup/Restore gesamte Kontaktdatenbank, Kontakthäufigkeits-Statistik pro Beziehungstyp (ApexCharts), Geburtstags-und-Jahrestags-Erinnerung, GSAP Netzwerk-Graph-Animationen - USE CASE: Privatpersonen pflegen ihr persönliches Beziehungsnetzwerk aktiv statt es dem Zufall zu überlassen, die Wiedervorlage-Erinnerung verhindert dass wichtige Kontakte über Jahre einschlafen.\n\n12. **#612** — baue eine Freelancer-Klienten-CRM-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klienten-Stammdaten Firma/Ansprechpartner/Branche/Akquise-Quelle, Projekt-Historie pro Klient verknüpft, Angebots-und-Auftrags-Status-Tracking, Kommunikations-Log E-Mails/Calls/Meetings, Volltextsuche mit Filtern nach Branche/Status/Umsatzklasse, Sortierbare Ansicht nach Umsatz/letztem Kontakt/Status, Verknüpfung zu Rechnungen und offenen Posten, Duplikat-Erkennung bei Firmenname-Ähnlichkeit, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Steuerberater, Backup/Restore-Funktion, Umsatz-pro-Klient-Dashboard (ApexCharts Balken), Wiedervorlage-Erinnerung für Follow-ups, GSAP Klienten-Karten-Animationen - USE CASE: Freelancer verwalten ihre Kundenbeziehungen und Auftragshistorie zentral statt in verstreuten Notizen, das Umsatz-Dashboard zeigt sofort welche Klienten am wertvollsten sind.\n\n13. **#613** — erstelle eine Alumni-Netzwerk-Datenbank für Hochschulen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Absolventen-Stammdaten Abschlussjahr/Studiengang/aktuelle-Position/Firma, Karriereweg-Historie pro Alumnus, Mentoring-Bereitschaft-Kennzeichnung wer hilft aktuellen Studierenden, Regionale-Gruppen-Zuordnung Standort-Cluster, Volltextsuche mit Filtern nach Jahrgang/Studiengang/Branche, Sortierbare Ansicht nach Abschlussjahr/Branche/Region, Verknüpfung zwischen Alumni und Veranstaltungen Teilnahme-Historie, Duplikat-Erkennung bei Neuanmeldung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Verbandsverwaltung, Backup/Restore gesamte Datenbank, Karriere-Verteilung nach Branchen (ApexCharts Sankey), Spendenbereitschafts-Tracking-Mockup, GSAP Netzwerk-Karten-Animationen - USE CASE: Ehemaligenvereine und Hochschulen pflegen den Kontakt zu Absolventen über Jahrzehnte strukturiert, aktuelle Studierende finden über die Mentoring-Kennzeichnung passende Ansprechpartner für den Berufseinstieg.\n\n14. **#614** — entwickle eine Familie-und-Freunde-wichtige-Daten-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Personen-Stammdaten Name/Beziehung/Geburtstag/Jahrestag/Geschenk-Vorlieben, Wichtige-Termine-Kalenderansicht Geburtstage/Hochzeitstage/Gedenktage, Geschenkideen-Liste pro Person mit Budget, Erinnerungs-Vorlauf konfigurierbar Tage vor Termin, Volltextsuche mit Filtern nach Beziehungstyp/Monat, Sortierbare Ansicht nach nächstem Termin/Beziehung, Verknüpfung zwischen Personen gleicher Familie, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON/Kalenderformat, Backup/Restore-Funktion, Termine-pro-Monat-Übersicht (ApexCharts Balken), Geschenke-Budget-Tracking über das Jahr, GSAP Kalender-Monatswechsel-Animationen - USE CASE: Familien behalten trotz vieler wichtiger Termine den Überblick über Geburtstage und Jahrestage aller Angehörigen, die Geschenkideen-Liste verhindert Last-Minute-Stress vor jedem Anlass.\n\n15. **#615** — programmiere einen professionellen Empfehlungsnetzwerk-Tracker - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kontakt-Stammdaten Name/Fachgebiet/Vertrauensstufe/Empfehlungshistorie, Empfehlungs-Tracking wer hat wen an wen vermittelt, Netzwerk-Visualisierung Empfehlungsketten (D3.js Sankey), Gegenseitigkeits-Score wie oft wurde zurück-empfohlen, Volltextsuche mit Filtern nach Fachgebiet/Region/Vertrauensstufe, Sortierbare Ansicht nach Empfehlungsanzahl/letztem Kontakt, Verknüpfung zwischen Empfehlungen und resultierenden Aufträgen, Duplikat-Erkennung bei Kontaktanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamtes Netzwerk, Empfehlungs-Erfolgsquote-Dashboard (ApexCharts), Dankes-Erinnerung nach erfolgreicher Vermittlung, GSAP Empfehlungsketten-Animationen - USE CASE: Selbstständige und Berater pflegen ihr Netzwerk aus gegenseitigen Weiterempfehlungen systematisch statt informell im Kopf, die Erfolgsquote zeigt welche Netzwerkpartner tatsächlich werthaltige Aufträge vermitteln.\n\n16. **#616** — baue eine Networking-Visitenkarten-Datenbank mit Follow-up-Tracking - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Visitenkarten-Stammdaten Name/Firma/Position/Event-Kontext-Kennenlernen, Foto-Anhang gescannte Visitenkarte-Mockup, Follow-up-Status-Tracking kontaktiert/wartend/erledigt, Tag-System nach Branche/Interesse/Veranstaltung, Volltextsuche mit Filtern nach Event/Branche/Status, Sortierbare Ansicht nach Kennenlern-Datum/Follow-up-Status, Verknüpfung zu Veranstaltungen bei denen Kontakt entstand, Duplikat-Erkennung gleiche Person mehrfach gescannt, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/vCard/JSON, Backup/Restore-Funktion, Netzwerk-Wachstum-pro-Event-Statistik (ApexCharts), Erinnerung für ausstehende Follow-ups, GSAP Karten-Scan-Animationen - USE CASE: Vielbesucher von Konferenzen und Messen wandeln gesammelte Visitenkarten systematisch in gepflegte Kontakte um, das Follow-up-Tracking verhindert dass wertvolle neue Kontakte nach dem Event verpuffen.\n\n17. **#617** — erstelle eine Vermieter-Mieter-Verwaltungsdatenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mieter-Stammdaten Name/Einheit/Mietbeginn/Kontaktdaten, Mietvertrags-Verknüpfung pro Mieter mit Konditionen, Kommunikations-Log Anfragen/Mängelmeldungen, Zahlungshistorie-Übersicht pro Mieteinheit, Volltextsuche mit Filtern nach Einheit/Status/Mietdauer, Sortierbare Ansicht nach Mietbeginn/Einheit/offenen-Punkten, Verknüpfung zwischen Mietern und gemeldeten Mängeln, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON für Hausverwaltung, Backup/Restore gesamte Mieterdatenbank, Belegungs-und-Fluktuations-Statistik (ApexCharts), Vertragsverlängerungs-Erinnerung vor Fristablauf, GSAP Einheiten-Übersichts-Animationen - USE CASE: Privatvermieter mit mehreren Einheiten behalten Mietverhältnisse und Kommunikation zentral im Blick statt in verstreuten E-Mails, die Fluktuationsstatistik zeigt frühzeitig Handlungsbedarf bei häufigen Mieterwechseln.\n\n18. **#618** — entwickle eine Nachbarschaftsnetzwerk-Datenbank für gegenseitige Hilfe - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Nachbar-Stammdaten Name/Adresse/Haushaltsgröße/Fähigkeiten-Angebot, Gegenseitige-Hilfe-Tracking wer hat wem wann geholfen, Ressourcen-Tausch-Verzeichnis Leihgaben zwischen Haushalten, Notfallkontakt-Kennzeichnung für Vertretungen im Urlaub, Volltextsuche mit Filtern nach Straße/Fähigkeit/Verfügbarkeit, Sortierbare Ansicht nach Adresse/letzter-Interaktion, Verknüpfung zwischen Hilfegesuchen und Helfern, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Aktivitäts-Statistik Hilfsnetzwerk (ApexCharts), Nachbarschaftsfest-Planungs-Verknüpfung, GSAP Nachbarschaftskarten-Animationen - USE CASE: Nachbarschaften organisieren gegenseitige Unterstützung und Ressourcentausch strukturiert statt über lose WhatsApp-Gruppen, die Notfallkontakt-Funktion schafft Sicherheit bei kurzfristiger Abwesenheit.\n\n19. **#619** — programmiere einen Mentor-Mentee-Beziehungstracker - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mentoring-Beziehungs-Stammdaten Mentor/Mentee/Start-Datum/Zielsetzung, Sitzungs-Protokoll-Log pro Treffen mit Themen, Fortschritts-Tracking vereinbarte Ziele erreicht/offen, Feedback-Formular nach jeder Sitzung, Volltextsuche mit Filtern nach Status/Themenbereich, Sortierbare Ansicht nach Startdatum/Fortschritt, Verknüpfung mehrerer Mentees zu einem Mentor, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Programmverwaltung, Backup/Restore gesamtes Programm, Fortschritts-Dashboard über alle Mentoring-Paare (ApexCharts Radar), Erinnerung für nächste vereinbarte Sitzung, GSAP Fortschritts-Animationen - USE CASE: Mentoring-Programme in Unternehmen oder Vereinen dokumentieren den Verlauf einzelner Mentoring-Beziehungen strukturiert, Programmverantwortliche erkennen anhand des Dashboards welche Paarungen zusätzliche Unterstützung brauchen.\n\n20. **#620** — baue eine Lieferanten-Beziehungsdatenbank für Kleinunternehmen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lieferanten-Stammdaten Firma/Ansprechpartner/Produktkategorie/Zahlungsziel, Bestellhistorie pro Lieferant verknüpft, Zuverlässigkeits-Bewertung Lieferzeit-Einhaltung, Preisentwicklungs-Tracking pro Artikel über Zeit, Volltextsuche mit Filtern nach Kategorie/Bewertung/Region, Sortierbare Ansicht nach Bestellvolumen/Zuverlässigkeit, Verknüpfung zwischen Lieferanten und bestellten Artikeln, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Buchhaltung, Backup/Restore-Funktion, Lieferanten-Performance-Dashboard (ApexCharts), Vertragsverlängerungs-Erinnerung, GSAP Lieferanten-Karten-Animationen - USE CASE: Kleinunternehmen behalten bei wachsender Lieferantenzahl Zuverlässigkeit und Konditionen im Überblick, das Performance-Dashboard erleichtert die Entscheidung bei der nächsten Vertragsverhandlung.\n\n## Kategorie 3: BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)\n\n21. **#621** — erstelle einen persönlichen Bücher-Bibliothekskatalog mit ISBN-Lookup-Mock - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buch-Stammdaten Titel/Autor/ISBN/Genre/Erscheinungsjahr, ISBN-Lookup-Mock automatisches Ausfüllen der Metadaten, Lesestatus-Tracking gelesen/aktuell-lesend/geplant, Bewertungs-und-Rezensions-Feld pro Buch, Volltextsuche mit Filtern nach Genre/Autor/Lesestatus, Sortierbare Ansicht nach Erscheinungsjahr/Bewertung/Autor, Verknüpfung zwischen Büchern derselben Reihe, Duplikat-Erkennung bei ISBN-Übereinstimmung, Datenvalidierung Pflichtfelder und ISBN-Format-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Bibliothek, Lesestatistik nach Genre und Jahr (ApexCharts Balken), Leseziel-Tracker Bücher pro Jahr, GSAP Bücherregal-Animationen - USE CASE: Vielleser katalogisieren ihre wachsende Bibliothek mit automatisiertem Metadaten-Abgleich statt manueller Eingabe, das Leseziel-Tracking motiviert zum regelmäßigen Weiterlesen über das Jahr.\n\n22. **#622** — entwickle einen Bücher-Verleih-Tracker für ausgeliehene Bücher - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verleih-Stammdaten Buchtitel/Ausleiher/Ausleihdatum/vereinbartes-Rückgabedatum, Verknüpfung zum Bibliothekskatalog-Datensatz, Überfällig-Ampel bei verstrichener Rückgabefrist, Erinnerungs-Funktion an Ausleiher, Volltextsuche mit Filtern nach Status/Ausleiher/Buch, Sortierbare Ansicht nach Ausleihdatum/Überfälligkeit, Verknüpfung mehrerer Ausleihen desselben Kontakts, Duplikat-Erkennung gleiches Buch bereits verliehen, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON, Backup/Restore-Funktion, Verleih-Statistik meistverliehene Bücher (ApexCharts), Rückgabe-Historie pro Ausleiher Zuverlässigkeits-Score, GSAP Überfällig-Warnungs-Animationen - USE CASE: Buchbesitzer behalten den Überblick welches Buch bei welchem Freund gerade ausgeliehen ist, der Zuverlässigkeits-Score hilft künftig einzuschätzen wem man bedenkenlos etwas leiht.\n\n23. **#623** — programmiere eine Film-Watch-Datenbank mit Sehgewohnheiten-Statistik - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Film-Stammdaten Titel/Regisseur/Jahr/Genre/Laufzeit, Watch-Status geplant/geschaut/abgebrochen, Bewertungs-und-Notizfeld pro Film, Streaming-Verfügbarkeits-Mockup wo aktuell verfügbar, Volltextsuche mit Filtern nach Genre/Jahr/Bewertung, Sortierbare Ansicht nach Watch-Datum/Bewertung/Genre, Verknüpfung zwischen Filmen und Schauspielern/Regisseuren, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Datenbank, Sehgewohnheiten-Statistik nach Genre und Jahrzehnt (ApexCharts Radar), Watchlist-Priorisierung, GSAP Filmplakat-Flip-Animationen - USE CASE: Filmliebhaber dokumentieren gesehene Filme mit eigener Bewertung statt sich auf externe Portale zu verlassen, die Genre-Statistik zeigt die eigenen Sehgewohnheiten über Jahre hinweg auf.\n\n24. **#624** — baue eine Serien-Watch-Datenbank mit Fortschritts-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Serien-Stammdaten Titel/Staffeln/Episoden/Genre/Streaming-Anbieter-Mockup, Fortschritts-Tracking zuletzt geschaute Episode pro Serie, Episoden-Bewertung einzeln möglich, Wartestatus-Kennzeichnung auf neue Staffel wartend, Volltextsuche mit Filtern nach Genre/Status/Anbieter, Sortierbare Ansicht nach Fortschritt/Bewertung/zuletzt-geschaut, Verknüpfung zwischen Serien desselben Universums Spin-offs, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Bingewatching-Statistik Episoden pro Woche (ApexCharts Line), Neue-Staffel-Erinnerung, GSAP Fortschrittsbalken-Animationen - USE CASE: Serienfans mit vielen parallel verfolgten Shows behalten den Überblick welche Episode als nächstes ansteht, die Bingewatching-Statistik macht das eigene Sehverhalten transparent nachvollziehbar.\n\n25. **#625** — erstelle einen Musiksammlung-Katalog physisch und digital - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Album-Stammdaten Interpret/Album/Format-CD-Digital/Erscheinungsjahr/Genre, Track-Liste pro Album mit Lieblingssong-Kennzeichnung, Format-Übersicht physisch vs digital pro Album, Hörhäufigkeits-Tracking-Mockup, Volltextsuche mit Filtern nach Interpret/Genre/Format, Sortierbare Ansicht nach Erscheinungsjahr/Genre/Hörhäufigkeit, Verknüpfung zwischen Alben desselben Interpreten Diskografie, Duplikat-Erkennung gleiches Album mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Genre-und-Jahrzehnt-Verteilung (ApexCharts Treemap), Wunschliste noch fehlende Alben, GSAP Albumcover-Galerie-Animationen - USE CASE: Musiksammler mit gemischt physischer und digitaler Sammlung erhalten eine einheitliche Übersicht ihrer gesamten Diskografie, die Genre-Verteilung zeigt die musikalische Bandbreite der eigenen Sammlung.\n\n26. **#626** — entwickle eine Brettspiel-Sammlung-Datenbank mit Spielverlauf-Log - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brettspiel-Stammdaten Titel/Verlag/Spieleranzahl/Spieldauer/Komplexitätsgrad, Spielverlauf-Log wer hat wann gegen wen gewonnen, Erweiterungs-Verknüpfung Grundspiel und Erweiterungen, Zustands-Dokumentation Vollständigkeit der Spielteile, Volltextsuche mit Filtern nach Spieleranzahl/Dauer/Genre, Sortierbare Ansicht nach Komplexität/Spielanzahl/Bewertung, Verknüpfung zwischen Grundspielen und deren Erweiterungen, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Spielhäufigkeits-und-Gewinnstatistik (ApexCharts Balken), Spieleabend-Vorschlag basierend auf Teilnehmerzahl, GSAP Spielschachtel-Regal-Animationen - USE CASE: Brettspiel-Enthusiasten mit großer Sammlung finden schnell ein passendes Spiel für die aktuelle Gruppengröße, die Gewinnstatistik sorgt für unterhaltsamen Gesprächsstoff an Spieleabenden.\n\n27. **#627** — programmiere eine Comic- und Manga-Sammlung-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Comic-Stammdaten Titel/Ausgabe-Nummer/Verlag/Zeichner/Zustand, Serien-Verknüpfung fortlaufende Ausgaben einer Reihe, Sammelband-Zuordnung Einzelhefte zu Sammelband, Zustandsgrad-Dokumentation mit Fotos, Volltextsuche mit Filtern nach Serie/Verlag/Zustand, Sortierbare Ansicht nach Ausgabe-Nummer/Wert/Zustand, Verknüpfung zwischen Einzelheften und Sammelbänden, Duplikat-Erkennung gleiche Ausgabe mehrfach, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Sammlungslücken-Anzeige fehlende Ausgaben einer Serie, Wertentwicklung seltener Ausgaben (ApexCharts Line), GSAP Comic-Cover-Blätter-Animationen - USE CASE: Comic- und Manga-Sammler behalten bei fortlaufenden Serien den Überblick über fehlende Ausgaben, die Wertentwicklung seltener Erstausgaben unterstützt Kauf- und Verkaufsentscheidungen.\n\n28. **#628** — baue eine Videospiel-Sammlung-Datenbank mit Backlog-Statistik - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Spiel-Stammdaten Titel/Plattform/Genre/Erscheinungsjahr/Vollständigkeit-OVP, Spielstatus durchgespielt/angefangen/ungespielt, Spielzeit-Tracking-Mockup Stunden investiert, Plattform-Zuordnung physisch/digital pro Konsole, Volltextsuche mit Filtern nach Plattform/Genre/Status, Sortierbare Ansicht nach Spielzeit/Bewertung/Erscheinungsjahr, Verknüpfung zwischen Spielen derselben Reihe, Duplikat-Erkennung gleicher Titel mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Backlog-Statistik ungespielte-vs-gespielte-Spiele (ApexCharts Donut), Wertsteigerung seltener Retro-Titel, GSAP Spielregal-Animationen - USE CASE: Gamer mit großem Backlog behalten den Überblick was noch gespielt werden will versus bereits abgeschlossen ist, Sammler von Retro-Spielen dokumentieren Vollständigkeit und Wert physischer Editionen.\n\n29. **#629** — erstelle eine Podcast-Bibliothek-Datenbank mit Hörfortschritt - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Podcast-Stammdaten Titel/Host/Kategorie/Episodenanzahl/Abo-Status, Episoden-Fortschritt gehört/ungehört pro Sendung, Lieblingsepisoden-Kennzeichnung mit Notizen, Veröffentlichungsrhythmus-Tracking wöchentlich/unregelmäßig, Volltextsuche mit Filtern nach Kategorie/Abo-Status/Sprache, Sortierbare Ansicht nach Episodenanzahl/zuletzt-gehört, Verknüpfung zwischen ähnlichen Podcasts derselben Kategorie, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Bibliothek, Hörzeit-Statistik nach Kategorie (ApexCharts Balken), Neue-Episode-Erinnerung, GSAP Episoden-Liste-Animationen - USE CASE: Podcast-Hörer mit vielen Abonnements behalten den Hörfortschritt über alle Sendungen zentral im Blick, die Hörzeit-Statistik zeigt welche Themengebiete tatsächlich am meisten Zeit beanspruchen.\n\n30. **#630** — entwickle ein Zeitschriften-Abo-Archiv mit Ausgaben-Verwaltung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeitschriften-Stammdaten Titel/Verlag/Erscheinungsrhythmus/Abo-Laufzeit, Ausgaben-Archiv einzelne Hefte mit Erscheinungsdatum, Artikel-Highlights-Notizen pro Ausgabe, Abo-Kosten-Tracking über Zeit, Volltextsuche mit Filtern nach Titel/Kategorie/Jahr, Sortierbare Ansicht nach Erscheinungsdatum/Kategorie, Verknüpfung zwischen Ausgaben und aufbewahrten Artikeln, Duplikat-Erkennung gleiche Ausgabe mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Abo-Kosten-Entwicklung über Jahre (ApexCharts Line), Kündigungs-Erinnerung vor automatischer Verlängerung, GSAP Archiv-Regal-Animationen - USE CASE: Vielleser mehrerer Zeitschriften-Abos behalten Kosten und interessante Artikel über Jahre archiviert, die Kündigungs-Erinnerung verhindert unerwünschte automatische Verlängerungen ungenutzter Abos.\n\n## Kategorie 4: REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)\n\n31. **#631** — programmiere eine Rezept-Datenbank mit Zutaten-basierter Suche - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten Titel/Zutatenliste/Zubereitungsschritte/Kochzeit/Portionen, Zutaten-basierte-Suche was kann ich mit vorhandenen Zutaten kochen, Kategorisierung nach Küche/Diät/Anlass, Bewertungs-und-Notizfeld nach dem Nachkochen, Volltextsuche mit Filtern nach Zutat/Kategorie/Zubereitungszeit, Sortierbare Ansicht nach Bewertung/Zubereitungszeit/Häufigkeit, Verknüpfung zwischen Rezepten und Zutaten-Datensätzen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Rezeptdatenbank, Meistgekochte-Rezepte-Statistik (ApexCharts Balken), Portionsgrößen-Umrechner, GSAP Rezeptkarten-Flip-Animationen - USE CASE: Hobbyköche mit wachsender Rezeptsammlung finden anhand vorhandener Zutaten sofort passende Gerichte, die Meistgekocht-Statistik zeigt welche Rezepte sich als Familienfavoriten etabliert haben.\n\n32. **#632** — baue eine Essensplanungs-Datenbank verknüpft mit der Rezeptdatenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochenplan-Ansicht Frühstück/Mittag/Abend pro Tag, Verknüpfung jedes Planeintrags zu einem Rezept-Datensatz, Automatische-Einkaufsliste-Generierung aus geplanten Rezepten, Nährwert-Summe pro Tag aus verknüpften Rezepten, Volltextsuche mit Filtern nach Rezepttyp/Diät/Woche, Sortierbare Ansicht nach Datum/Mahlzeittyp, Verknüpfung zwischen Wochenplänen und Vorratsdatenbank, Duplikat-Erkennung doppelte Planung gleicher Slot, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Wochenplan-Abwechslungs-Statistik Rezept-Wiederholungsrate (ApexCharts), Resteverwertungs-Vorschlag, GSAP Wochenplan-Drag-Animationen - USE CASE: Familien planen ihre Mahlzeiten für die ganze Woche im Voraus und sparen durch die automatische Einkaufsliste Zeit im Supermarkt, die Verknüpfung zur Rezeptdatenbank verhindert eintönige Wiederholungen.\n\n33. **#633** — erstelle eine Vorrats-Datenbank mit Ablaufverfolgung gegen Lebensmittelverschwendung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorrats-Stammdaten Artikel/Menge/Lagerort/Mindesthaltbarkeitsdatum, Ablauf-Ampel bald-ablaufend/abgelaufen mit Sortierung, Lagerort-Zuordnung Kühlschrank/Vorratskammer/Gefrierschrank, Verbrauchs-Historie wann wurde Artikel aufgebraucht, Volltextsuche mit Filtern nach Lagerort/Kategorie/Ablaufstatus, Sortierbare Ansicht nach Ablaufdatum/Menge/Lagerort, Verknüpfung zu Rezepten die den Artikel verwenden, Duplikat-Erkennung gleicher Artikel mehrfach erfasst mit Mengen-Zusammenführung, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Einkaufsliste, Backup/Restore gesamter Vorratsbestand, Lebensmittelverschwendungs-Statistik abgelaufene-vs-verbrauchte-Artikel (ApexCharts), Nachkauf-Erinnerung bei Mindestbestand, GSAP Ablauf-Warnungs-Animationen - USE CASE: Haushalte reduzieren Lebensmittelverschwendung durch rechtzeitige Ablauf-Warnungen und Rezeptvorschläge für bald ablaufende Zutaten, die Verschwendungsstatistik motiviert zu bewussterem Einkaufsverhalten.\n\n34. **#634** — entwickle eine Ernährungs-Log-Datenbank mit Makronährstoff-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mahlzeiten-Log-Stammdaten Datum/Mahlzeit/Lebensmittel/Menge/Kalorien, Nährwert-Datenbank verknüpft Kalorien/Protein/Fett/Kohlenhydrate pro Lebensmittel, Tages-und-Wochen-Nährwertbilanz, Zielwert-Vergleich persönliches Kalorienziel, Volltextsuche mit Filtern nach Lebensmittel/Datum/Mahlzeittyp, Sortierbare Ansicht nach Datum/Kalorienmenge, Verknüpfung zwischen Log-Einträgen und Rezeptdatenbank, Duplikat-Erkennung gleicher Eintrag am selben Tag, Datenvalidierung Pflichtfelder und Mengenformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore-Funktion, Nährwert-Trend über Wochen (ApexCharts Line), Makronährstoff-Verteilung (ApexCharts Donut), GSAP Tagesbilanz-Animationen - USE CASE: Ernährungsbewusste Nutzer dokumentieren ihre tägliche Nahrungsaufnahme strukturiert zur Erreichung persönlicher Ziele, der Trend über Wochen zeigt ob die Ernährungsumstellung tatsächlich greift.\n\n35. **#635** — programmiere eine Familienrezepte-Erbe-Datenbank über Generationen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten Titel/Herkunft-Familienmitglied/Generation/Anlass, Geschichten-Feld zur Herkunft und Bedeutung des Rezepts, Foto-Anhang handschriftliche Original-Rezeptkarten, Generationen-Verknüpfung wer hat Rezept an wen weitergegeben, Volltextsuche mit Filtern nach Familienzweig/Generation/Anlass, Sortierbare Ansicht nach Generation/Herkunftsperson, Verknüpfung zwischen Varianten desselben Grundrezepts über Generationen, Duplikat-Erkennung ähnlicher Rezepttitel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Familienkochbuch-Druck, Backup/Restore gesamtes Familienarchiv, Herkunfts-Verteilung nach Familienzweig (ApexCharts Treemap), Familienkochbuch-Export-Vorschau, GSAP Generationenkarten-Animationen - USE CASE: Familien bewahren überlieferte Rezepte samt ihrer Entstehungsgeschichte digital für kommende Generationen, das Familienkochbuch-Export-Feature ermöglicht ein gedrucktes Erbstück zu besonderen Anlässen.\n\n36. **#636** — baue eine Restaurant-Favoriten-Reservierungs-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Restaurant-Stammdaten Name/Küche/Preisklasse/Adresse-Mockup, Besuchs-Historie mit Datum und Anlass, Bewertungs-und-Notizfeld Lieblingsgerichte pro Restaurant, Reservierungs-Tracking-Mockup kommende Reservierungen, Volltextsuche mit Filtern nach Küche/Preisklasse/Bewertung, Sortierbare Ansicht nach Bewertung/letztem-Besuch/Preisklasse, Verknüpfung zwischen Besuchen und begleitenden Personen, Duplikat-Erkennung gleiches Restaurant mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Besuchshäufigkeits-Statistik nach Küche (ApexCharts), Wiederbesuchs-Erinnerung lange nicht besucht, GSAP Restaurant-Karten-Animationen - USE CASE: Genießer mit vielen Lieblingsrestaurants behalten Bewertungen und Lieblingsgerichte übersichtlich fest statt sich auf die Erinnerung zu verlassen, die Wiederbesuchs-Erinnerung bringt vergessene Favoriten zurück ins Bewusstsein.\n\n37. **#637** — erstelle eine Allergen-Diät-Rezeptfilter-Datenbank für Familien - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten mit Allergen-Kennzeichnung Gluten/Laktose/Nüsse/Histamin, Diät-Kompatibilitäts-Tags Vegan/Vegetarisch/Low-Carb/FODMAP, Zutaten-Ersatz-Vorschläge bei Unverträglichkeit, Personen-Profile mit individuellen Unverträglichkeiten verknüpft zu passenden Rezepten, Volltextsuche mit Filtern nach Allergen-Ausschluss/Diät-Typ, Sortierbare Ansicht nach Verträglichkeit/Zubereitungszeit, Verknüpfung zwischen Rezepten und Personenprofilen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder und Allergen-Kennzeichnungs-Pflicht, Import/Export CSV/JSON, Backup/Restore gesamte Datenbank, Verträglichkeits-Abdeckung-Statistik pro Familienmitglied (ApexCharts), Notfall-Zutatenliste-Warnung, GSAP Allergen-Kennzeichnungs-Animationen - USE CASE: Familien mit mehreren unterschiedlichen Lebensmittelunverträglichkeiten finden sicher geeignete Rezepte für alle Mitglieder gleichzeitig, die Notfall-Warnung verhindert versehentliche Verwendung kritischer Allergene.\n\n38. **#638** — entwickle eine Hausgebrautes-Fermentations-Rezeptdatenbank mit Batch-Log - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Braurezept-Stammdaten Bierstil/Zutaten/Gärtemperatur/Reifezeit, Batch-Tracking-Log pro Sud mit Messwerten Stammwürze/Alkoholgehalt, Fermentations-Zeitplan-Erinnerung Umfüll-und-Abfüll-Termine, Geschmacksbewertung-Historie pro Batch, Volltextsuche mit Filtern nach Bierstil/Zutat/Batch-Status, Sortierbare Ansicht nach Reifedatum/Bewertung/Batch-Nummer, Verknüpfung zwischen Rezept-Vorlage und tatsächlichen Batches, Duplikat-Erkennung ähnlicher Rezeptnamen, Datenvalidierung Pflichtfelder und Messwert-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamtes Braulogbuch, Batch-Erfolgsquote-Statistik über Zeit (ApexCharts Line), Zutaten-Vorrats-Verknüpfung, GSAP Gärverlauf-Animationen - USE CASE: Hobbybrauer dokumentieren jeden Sud mit exakten Messwerten für reproduzierbare Ergebnisse, die Erfolgsquoten-Statistik zeigt über die Zeit welche Rezeptanpassungen tatsächlich zu besseren Bieren führen.\n\n39. **#639** — programmiere eine Back-Rezeptdatenbank mit Mengen-Umrechner - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Back-Rezept-Stammdaten Kuchenart/Zutaten/Backzeit/Temperatur, Mengen-Umrechner Portionsgröße und Einheiten Gramm/Cup/Milliliter, Backtest-Historie mit Foto und Erfolgsbewertung, Zutatensubstitutions-Vorschläge bei fehlenden Zutaten, Volltextsuche mit Filtern nach Kuchenart/Anlass/Schwierigkeitsgrad, Sortierbare Ansicht nach Bewertung/Backzeit/Häufigkeit, Verknüpfung zwischen Grundrezepten und Variationen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder und Mengenformat, Import/Export CSV/JSON, Backup/Restore gesamte Rezeptdatenbank, Meistgebackene-Rezepte-Statistik nach Anlass (ApexCharts), Anlass-basierte-Vorschläge Geburtstag/Weihnachten, GSAP Backofen-Timer-Animationen - USE CASE: Hobbybäcker mit wachsender Rezeptsammlung rechnen Mengen zuverlässig für unterschiedliche Portionsgrößen um, die Anlass-basierten Vorschläge erleichtern die Auswahl des passenden Kuchens für jeden Termin.\n\n40. **#640** — baue eine Gewürz-und-Kräuter-Inventar-Datenbank verknüpft mit Rezepten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gewürz-Stammdaten Name/Menge/Kaufdatum/Haltbarkeit/Herkunft, Aroma-Profil-Tags scharf/süß/erdig für Kombinationsvorschläge, Nachfüll-Erinnerung bei niedrigem Bestand, Verwendungs-Historie welche Rezepte nutzen welches Gewürz, Volltextsuche mit Filtern nach Kategorie/Haltbarkeitsstatus/Menge, Sortierbare Ansicht nach Haltbarkeit/Verwendungshäufigkeit, Verknüpfung zwischen Gewürzen und Rezeptdatenbank, Duplikat-Erkennung gleiches Gewürz mehrfach mit Mengen-Zusammenführung, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore-Funktion, Verwendungshäufigkeits-Statistik meistgenutzte-Gewürze (ApexCharts), Gewürzmischungs-Rezept-Generator, GSAP Gewürzregal-Animationen - USE CASE: Hobbyköche mit umfangreichem Gewürzregal behalten Frische und Nutzung jedes einzelnen Gewürzes im Blick, die Verwendungsstatistik hilft gezielt neue Rezepte für selten genutzte Gewürze zu finden.\n\n## Kategorie 5: WISSENS- & REFERENZDATENBANKEN (10 Prompts)\n\n41. **#641** — erstelle eine persönliche Wissensdatenbank/Wiki mit Verlinkungs-Graph - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wissenseintrag-Stammdaten Titel/Kategorie/Inhalt/Tags/Quelle, Verlinkung zwischen zusammenhängenden Wiki-Seiten Wikilinks, Versionshistorie bei Bearbeitung von Einträgen, Wissens-Graph-Visualisierung Verknüpfungen zwischen Themen (D3.js Force-Graph), Volltextsuche mit Filtern nach Kategorie/Tag/Erstelldatum, Sortierbare Ansicht nach Zugriffshäufigkeit/Aktualität, Verknüpfung zwischen verwandten Einträgen, Duplikat-Erkennung ähnlicher Themen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export Markdown/CSV/JSON, Backup/Restore gesamtes Wiki, Wissensgebiet-Verteilung nach Kategorie (ApexCharts Treemap), Verwaiste-Seiten-Erkennung ohne Verlinkung, GSAP Graph-Navigations-Animationen - USE CASE: Wissensarbeiter bauen sich ein persönliches vernetztes Nachschlagewerk auf statt verstreuter Notizen in verschiedenen Tools, der Wissens-Graph macht unerwartete Zusammenhänge zwischen eigenen Notizen sichtbar.\n\n42. **#642** — entwickle eine Fachbegriff-Glossar-Datenbank pro Fachgebiet - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Begriff-Stammdaten Terminus/Definition/Fachgebiet/Quelle/Beispielsatz, Fachgebiets-Kategorisierung Medizin/Recht/Technik-konfigurierbar, Synonym-und-Abgrenzungs-Verknüpfung ähnliche Begriffe, Verständnis-Level-Kennzeichnung Grundlagen/Fortgeschritten, Volltextsuche mit Filtern nach Fachgebiet/Anfangsbuchstabe, Sortierbare Ansicht alphabetisch/nach-Fachgebiet, Verknüpfung zwischen verwandten Fachbegriffen, Duplikat-Erkennung ähnlicher Begriffe, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Weitergabe an Kollegen, Backup/Restore gesamtes Glossar, Begriffsverteilung nach Fachgebiet (ApexCharts Balken), Lernkarten-Modus zum Abfragen, GSAP Karteikarten-Umblätter-Animationen - USE CASE: Fachleute und Studierende bauen sich ein eigenes durchsuchbares Fachwörterbuch für ihr Spezialgebiet auf, der Lernkarten-Modus unterstützt aktiv das Einprägen komplexer Terminologie vor Prüfungen.\n\n43. **#643** — programmiere eine Zitat-Sammlung-Datenbank mit Präsentations-Export - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zitat-Stammdaten Text/Autor/Quelle/Kontext/Themengebiet, Themen-Tag-System Motivation/Führung/Kreativität, Persönliche-Bewertung-und-Verwendungszweck-Notiz, Zitat-des-Tages-Anzeige zufällig aus der Sammlung, Volltextsuche mit Filtern nach Autor/Thema/Sprache, Sortierbare Ansicht nach Autor/Hinzufügedatum/Beliebtheit, Verknüpfung zwischen Zitaten desselben Autors oder Themas, Duplikat-Erkennung ähnlicher Zitat-Texte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Präsentationsvorbereitung, Backup/Restore gesamte Sammlung, Themenverteilung-Statistik (ApexCharts Donut), Präsentations-Export-Vorschau formatierte Zitatkarten, GSAP Zitatkarten-Einblend-Animationen - USE CASE: Redner und Autoren sammeln inspirierende Zitate systematisch für spätere Reden und Texte statt sie beim Bedarf mühsam neu zu suchen, der Präsentations-Export liefert sofort einsatzbereite Folien-Vorlagen.\n\n44. **#644** — baue eine Forschungs-Zitier-Datenbank als Bibliographie-Manager - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Quellen-Stammdaten Autor/Titel/Jahr/Publikationsort/DOI-Mockup, Zitierstil-Generator APA/MLA/Chicago automatisch formatiert, Volltext-Notizen-und-Zitat-Sammlung pro Quelle, Projekt-Zuordnung welche Quellen für welche Arbeit verwendet, Volltextsuche mit Filtern nach Autor/Jahr/Projekt/Publikationstyp, Sortierbare Ansicht nach Jahr/Autor/Zitierhäufigkeit, Verknüpfung zwischen zitierenden und zitierten Quellen, Duplikat-Erkennung gleiche Publikation mehrfach erfasst, Datenvalidierung Pflichtfelder und DOI-Format, Import/Export BibTeX/CSV/JSON, Backup/Restore gesamte Literaturdatenbank, Quellen-Verteilung nach Publikationsjahr (ApexCharts Line), Literaturverzeichnis-Export für Abschlussarbeit, GSAP Quellenkarten-Animationen - USE CASE: Studierende und Forschende verwalten hunderte Quellen für ihre Abschlussarbeit strukturiert statt in unübersichtlichen Word-Dokumenten, der automatische Zitierstil-Generator spart bei jeder Quellenangabe wertvolle Zeit.\n\n45. **#645** — erstelle eine Lernkarten-Notizen-Datenbank je Schulfach mit Spaced-Repetition - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karteikarten-Stammdaten Frage/Antwort/Fach/Schwierigkeitsgrad, Spaced-Repetition-Algorithmus-Mockup Wiederholungsintervalle nach Erfolg, Fach-Kategorisierung mit Unterthemen-Hierarchie, Lernfortschritts-Tracking pro Karte gewusst/nicht-gewusst-Historie, Volltextsuche mit Filtern nach Fach/Schwierigkeit/Lernstatus, Sortierbare Ansicht nach nächster-Wiederholung/Erfolgsquote, Verknüpfung zwischen Karten desselben Themenblocks, Duplikat-Erkennung ähnlicher Fragen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Karten-Austausch, Backup/Restore gesamter Kartensatz, Lernfortschritt-Statistik pro Fach (ApexCharts Radar), Prüfungsmodus zufällige Abfrage, GSAP Karten-Umdreh-Animationen - USE CASE: Schüler und Studierende bereiten sich mit einem selbst erstellten Karteikartensystem effizient auf Prüfungen vor, die Spaced-Repetition-Logik sorgt dafür dass schwierige Karten häufiger wiederholt werden.\n\n46. **#646** — entwickle eine Notfallordner-Dokumentendatenbank für wichtige Verträge - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokument-Stammdaten Kategorie-Versicherung/Verträge/Konten/Testament-Hinweis/Fälligkeit, Verknüpfung zu wichtigen Kontaktpersonen Notar/Bank/Versicherung, Zugriffsberechtigungs-Kennzeichnung wer im Ernstfall Zugriff haben soll, Fälligkeits-Erinnerung für Vertragsverlängerungen, Volltextsuche mit Filtern nach Kategorie/Fälligkeit, Sortierbare Ansicht nach Kategorie/Fälligkeitsdatum, Verknüpfung zwischen Dokumenten und zuständigen Ansprechpartnern, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Notfallordner-Druck, Backup/Restore gesamte Dokumentenübersicht, Vollständigkeits-Check-Dashboard fehlende Kategorien (ApexCharts Gauge), Notfallordner-Druckvorschau, GSAP Dokumentenmappe-Animationen, HINWEIS im Code: reines lokales Ordnungssystem ohne Speicherung sensibler Zugangsdaten selbst - USE CASE: Haushalte legen einen strukturierten Überblick wichtiger Verträge und Zuständigkeiten für den Ernstfall oder Erbfall an, Angehörige finden im Notfall sofort alle relevanten Ansprechpartner statt tagelang suchen zu müssen.\n\n47. **#647** — programmiere eine Vertragsvorlagen-Referenzdatenbank mit Klausel-Bibliothek - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vertragsvorlage-Stammdaten Typ/Verwendungszweck/Rechtsgebiet/letzte-Aktualisierung, Klausel-Bibliothek wiederverwendbare Textbausteine, Versions-Historie pro Vorlage bei Änderungen, Verwendungs-Tracking welche Vorlage wie oft genutzt, Volltextsuche mit Filtern nach Rechtsgebiet/Verwendungszweck, Sortierbare Ansicht nach Aktualität/Nutzungshäufigkeit, Verknüpfung zwischen Vorlagen und verwendeten Klauselbausteinen, Duplikat-Erkennung ähnlicher Vorlagen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Word-Mockup, Backup/Restore gesamte Vorlagenbibliothek, Nutzungsstatistik pro Vorlagentyp (ApexCharts Balken), Aktualisierungs-Erinnerung bei Rechtsänderungen, GSAP Vorlagen-Vorschau-Animationen - USE CASE: Kleinunternehmer und Freelancer greifen auf eine selbst gepflegte Bibliothek geprüfter Vertragsvorlagen zurück statt jedes Mal neu zu formulieren, die Versions-Historie dokumentiert nachvollziehbar welche Klauseln wann angepasst wurden.\n\n48. **#648** — baue eine historische Fakten-Zeitleisten-Referenzdatenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ereignis-Stammdaten Datum/Titel/Beschreibung/Epoche/Region, Interaktive-Zeitleisten-Visualisierung chronologisch (D3.js Timeline), Themen-Verknüpfung zusammenhängende Ereignisse über Epochen, Quellen-Angabe pro Ereignis, Volltextsuche mit Filtern nach Epoche/Region/Thema, Sortierbare Ansicht chronologisch/nach-Region, Verknüpfung zwischen Ursache-und-Folge-Ereignissen, Duplikat-Erkennung ähnlicher Ereignisse, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore gesamte Faktendatenbank, Ereignisdichte nach Epoche (ApexCharts Balken), Vergleichsmodus parallele Ereignisse verschiedener Regionen, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Geschichtsinteressierte und Lehrkräfte bauen sich eine eigene strukturierte Faktensammlung für Unterricht oder Recherche auf, die interaktive Zeitleiste macht historische Zusammenhänge über Regionen hinweg anschaulich sichtbar.\n\n49. **#649** — erstelle eine Code-Snippet-Referenzdatenbank für Entwickler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Snippet-Stammdaten Titel/Programmiersprache/Code/Beschreibung/Anwendungsfall, Syntax-Highlighting pro Sprache, Tag-System Framework/Pattern/Problemtyp, Verwendungs-Historie welches Projekt nutzte welchen Snippet, Volltextsuche mit Filtern nach Sprache/Tag/Projekt, Sortierbare Ansicht nach Sprache/Erstelldatum/Nutzungshäufigkeit, Verknüpfung zwischen verwandten Snippets gleiches Pattern, Duplikat-Erkennung ähnlicher Code-Snippets, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Markdown, Backup/Restore gesamte Snippet-Bibliothek, Snippet-Verteilung nach Sprache (ApexCharts Donut), Schnellkopier-Funktion für Zwischenablage-Mockup, GSAP Code-Block-Einblend-Animationen - USE CASE: Entwickler bauen sich eine persönliche durchsuchbare Sammlung bewährter Code-Lösungen für wiederkehrende Probleme auf statt sie jedes Mal neu zu recherchieren, die Tag-Struktur beschleunigt das Wiederfinden über Projektgrenzen hinweg erheblich.\n\n50. **#650** — entwickle eine Sprachvokabel-Datenbank als persönliches Wörterbuch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vokabel-Stammdaten Wort/Übersetzung/Sprache/Wortart/Beispielsatz, Themen-Kategorisierung Reisen/Business/Alltag, Lernfortschritt-Tracking gelernt/in-Wiederholung/neu, Aussprache-Notiz-Feld phonetisch, Volltextsuche mit Filtern nach Sprache/Thema/Lernstatus, Sortierbare Ansicht nach Lernfortschritt/Thema/Alphabet, Verknüpfung zwischen Vokabeln derselben Wortfamilie, Duplikat-Erkennung gleiches Wort mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Lernkarten-Apps, Backup/Restore gesamtes Vokabelheft, Lernfortschritt-Statistik nach Sprache (ApexCharts Radar), Abfrage-Modus zum Selbsttest, GSAP Vokabelkarten-Animationen - USE CASE: Sprachlerner bauen sich ein persönliches digitales Vokabelheft über mehrere Zielsprachen hinweg auf statt loser Zettel, der Abfrage-Modus unterstützt eigenständiges Wiederholen jenseits einer festen Lern-App.\n\n## Kategorie 6: PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)\n\n51. **#651** — programmiere eine Ticket-Issue-Tracker-Datenbank nach Bugtracking-Muster - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ticket-Stammdaten Titel/Beschreibung/Priorität/Status/Zuständigkeit, Status-Workflow Offen/In-Bearbeitung/Review/Geschlossen, Kommentar-Verlauf pro Ticket chronologisch, Verknüpfung zwischen abhängigen Tickets Blocker-Beziehungen, Volltextsuche mit Filtern nach Status/Priorität/Zuständigkeit, Sortierbare Ansicht nach Priorität/Erstelldatum/Fälligkeit, Verknüpfung zu betroffenen Projekten oder Modulen, Duplikat-Erkennung ähnlicher Ticket-Titel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Ticket-Datenbank, Durchlaufzeit-Statistik pro Status (ApexCharts Balken), Burndown-Anzeige offene-vs-geschlossene-Tickets (ApexCharts Line), GSAP Status-Wechsel-Animationen - USE CASE: Kleine Teams verwalten Bugs und Feature-Anfragen strukturiert ohne teures externes Tool, die Durchlaufzeit-Statistik zeigt wo im Workflow Tickets typischerweise stecken bleiben.\n\n52. **#652** — baue eine Freelancer-Kundenprojekt-Datenbank mit Budget-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Projekt-Stammdaten Kunde/Projekttitel/Budget/Deadline/Status, Meilenstein-Verwaltung pro Projekt mit Fälligkeit, Verknüpfung zu Kundendatensätzen aus dem CRM, Rechnungsstatus-Tracking pro Projektphase, Volltextsuche mit Filtern nach Kunde/Status/Deadline, Sortierbare Ansicht nach Deadline/Budget/Status, Verknüpfung zwischen Projekten und Zeiterfassungs-Einträgen, Duplikat-Erkennung ähnlicher Projekttitel, Datenvalidierung Pflichtfelder und Budget-Format, Import/Export CSV/JSON für Steuerberater, Backup/Restore gesamte Projektdatenbank, Auslastungs-und-Umsatz-Dashboard pro Monat (ApexCharts), Deadline-Erinnerung bei nahenden Terminen, GSAP Meilenstein-Fortschritts-Animationen - USE CASE: Freelancer behalten bei mehreren parallelen Kundenprojekten Budget und Fristen jederzeit im Blick, das Auslastungs-Dashboard hilft rechtzeitig zu erkennen wann neue Aufträge angenommen werden können.\n\n53. **#653** — erstelle eine Zeiterfassungs-Datenbank verknüpft mit Projekten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zeiteintrag-Stammdaten Projekt/Aufgabe/Startzeit/Endzeit/Beschreibung, Timer-Funktion Start-Stop für laufende Erfassung, Verknüpfung jedes Eintrags zu einem Projekt-Datensatz, Abrechenbarkeit-Kennzeichnung fakturierbar/intern, Volltextsuche mit Filtern nach Projekt/Zeitraum/Abrechenbarkeit, Sortierbare Ansicht nach Datum/Projekt/Dauer, Verknüpfung zwischen Zeiteinträgen und Rechnungen, Duplikat-Erkennung überlappende Zeiteinträge-Warnung, Datenvalidierung Pflichtfelder und Zeitformat-Plausibilität, Import/Export CSV/JSON für Rechnungsstellung, Backup/Restore gesamte Zeiterfassung, Zeitverteilung nach Projekt (ApexCharts Treemap), Wochenarbeitszeit-Trend (ApexCharts Line), GSAP Timer-Animationen - USE CASE: Freelancer und Berater dokumentieren abrechenbare Stunden präzise pro Projekt für korrekte Kundenrechnungen, die Zeitverteilungs-Statistik deckt auf welche Projekte überproportional viel unbezahlten Aufwand verursachen.\n\n54. **#654** — entwickle eine Equipment-Checkout-Datenbank für gemeinsam genutzte Team-Ressourcen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Equipment-Stammdaten Gerätetyp/Seriennummer/Zustand/Standort, Checkout-Historie wer hat wann welches Gerät ausgeliehen, Verfügbarkeits-Status frei/ausgeliehen/in-Wartung, Reservierungs-Funktion für zukünftigen Bedarf, Volltextsuche mit Filtern nach Gerätetyp/Status/Standort, Sortierbare Ansicht nach Verfügbarkeit/letzter-Nutzung, Verknüpfung zwischen Geräten und ausleihenden Teammitgliedern, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Rückgabedatum-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamte Equipment-Datenbank, Auslastungsstatistik pro Gerät (ApexCharts Balken), Überfällige-Rückgabe-Warnung, GSAP Checkout-Status-Animationen - USE CASE: Teams mit gemeinsam genutzter Ausrüstung wie Kameras oder Laptops behalten jederzeit den Überblick wer was gerade nutzt, die Auslastungsstatistik zeigt ob zusätzliche Geräte angeschafft werden sollten.\n\n55. **#655** — programmiere eine Aufgaben-Datenbank mit Abhängigkeits-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Aufgaben-Stammdaten Titel/Beschreibung/Fälligkeit/Priorität/Status, Abhängigkeits-Verknüpfung Aufgabe-B-kann-erst-nach-Aufgabe-A-starten, Abhängigkeits-Graph-Visualisierung (D3.js), Unteraufgaben-Hierarchie verschachtelte Checklisten, Volltextsuche mit Filtern nach Status/Priorität/Projekt, Sortierbare Ansicht nach Fälligkeit/Priorität/Abhängigkeitsstatus, Verknüpfung zwischen Aufgaben und übergeordneten Projekten, Duplikat-Erkennung ähnlicher Aufgabentitel, Datenvalidierung Pflichtfelder und zirkuläre-Abhängigkeits-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Aufgabendatenbank, Fortschritts-Dashboard offene-vs-erledigte-Aufgaben (ApexCharts Donut), Kritischer-Pfad-Anzeige blockierende Aufgaben zuerst, GSAP Abhängigkeits-Graph-Animationen - USE CASE: Projektteams mit komplexen Aufgabenabhängigkeiten erkennen sofort welche Aufgabe andere blockiert, die zirkuläre-Abhängigkeits-Prüfung verhindert unlösbare Planungsfehler von vornherein.\n\n56. **#656** — baue eine Meeting-Protokoll-Entscheidungs-Log-Datenbank - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Meeting-Stammdaten Titel/Datum/Teilnehmer/Agenda, Protokoll-Text pro Meeting mit Beschluss-Kennzeichnung, Aktionspunkt-Verknüpfung aus Meeting resultierende Aufgaben mit Verantwortlichkeit, Entscheidungs-Historie durchsuchbar über alle Meetings, Volltextsuche mit Filtern nach Teilnehmer/Zeitraum/Thema, Sortierbare Ansicht nach Datum/Anzahl-offener-Aktionspunkte, Verknüpfung zwischen Meetings derselben Projektserie, Duplikat-Erkennung ähnlicher Meeting-Titel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Markdown, Backup/Restore gesamtes Protokoll-Archiv, Aktionspunkt-Erledigungsquote-Statistik (ApexCharts), Follow-up-Erinnerung offene Aktionspunkte, GSAP Protokoll-Zeitleisten-Animationen - USE CASE: Teams behalten getroffene Entscheidungen und deren Umsetzung über viele Meetings hinweg nachvollziehbar, die Erledigungsquote zeigt ob Aktionspunkte aus Meetings tatsächlich konsequent abgearbeitet werden.\n\n57. **#657** — erstelle eine Bug-Tracking-Datenbank für QA-Teams - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bug-Stammdaten Titel/Schweregrad/Reproduktionsschritte/betroffene-Version, Status-Workflow Gemeldet/Bestätigt/In-Bearbeitung/Verifiziert/Geschlossen, Verknüpfung zu betroffenen Features oder Modulen, Regressions-Kennzeichnung erneut aufgetretener Bug, Volltextsuche mit Filtern nach Schweregrad/Status/Modul, Sortierbare Ansicht nach Schweregrad/Meldedatum/Status, Verknüpfung zwischen ähnlichen oder verwandten Bugs, Duplikat-Erkennung ähnlicher Bug-Beschreibungen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Bug-Datenbank, Bug-Trend nach Schweregrad über Releases (ApexCharts Balken), Behebungszeit-Statistik pro Schweregrad, GSAP Status-Ampel-Animationen - USE CASE: QA-Teams dokumentieren gefundene Fehler strukturiert mit reproduzierbaren Schritten für Entwickler, die Behebungszeit-Statistik zeigt ob kritische Bugs tatsächlich priorisiert schneller geschlossen werden.\n\n58. **#658** — entwickle eine Lieferantenvertrag-Datenbank verknüpft mit Projekten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertrags-Stammdaten Lieferant/Vertragsgegenstand/Laufzeit/Konditionen, Verknüpfung zu Projekten die den Vertrag nutzen, Kündigungsfristen-Erinnerung mit Vorlauf, Leistungsbewertung pro Vertragspartner über Zeit, Volltextsuche mit Filtern nach Lieferant/Status/Laufzeit, Sortierbare Ansicht nach Laufzeitende/Vertragswert, Verknüpfung zwischen Verträgen und zugehörigen Rechnungen, Duplikat-Erkennung ähnlicher Verträge, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Rechtsabteilung, Backup/Restore gesamte Vertragsdatenbank, Vertragswert-Verteilung nach Lieferant (ApexCharts Balken), Auto-Verlängerungs-Warnung, GSAP Vertrags-Ablauf-Animationen - USE CASE: Projektteams behalten bei vielen externen Dienstleistern Vertragslaufzeiten und Konditionen zentral im Blick, die Auto-Verlängerungs-Warnung verhindert ungewollte Fortsetzung nicht mehr benötigter Verträge.\n\n59. **#659** — programmiere eine Ehrenamt-Freiwilligen-Management-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Freiwilligen-Stammdaten Name/Fähigkeiten/Verfügbarkeit/Engagement-Bereich, Einsatz-Historie welche Projekte wann unterstützt, Stunden-Tracking geleistete Ehrenamtsstunden, Zertifikats-Generierung-Mockup für Nachweise, Volltextsuche mit Filtern nach Fähigkeit/Verfügbarkeit/Projekt, Sortierbare Ansicht nach Engagement-Stunden/letztem-Einsatz, Verknüpfung zwischen Freiwilligen und Projekten/Veranstaltungen, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Vereinsverwaltung, Backup/Restore gesamte Freiwilligendatenbank, Engagement-Stunden-Statistik nach Projekt (ApexCharts), Dankes-Erinnerung nach abgeschlossenem Einsatz, GSAP Einsatz-Karten-Animationen - USE CASE: Non-Profit-Organisationen koordinieren Freiwillige und deren Verfügbarkeit für verschiedene Projekte effizient, die Stunden-Statistik liefert belastbare Nachweise für Förderanträge und Jahresberichte.\n\n60. **#660** — baue eine Förderantrag-Zuschuss-Tracker-Datenbank für Vereine - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Förderantrag-Stammdaten Fördergeber/Projekttitel/Antragssumme/Status/Frist, Status-Workflow Vorbereitung/Eingereicht/Bewilligt/Abgelehnt, Verknüpfung zu unterstützten Projekten, Dokumenten-Checkliste pro Antrag erforderliche Unterlagen, Volltextsuche mit Filtern nach Fördergeber/Status/Frist, Sortierbare Ansicht nach Frist/Antragssumme/Status, Verknüpfung zwischen Anträgen und Verwendungsnachweisen, Duplikat-Erkennung ähnlicher Anträge, Datenvalidierung Pflichtfelder und Fristformat, Import/Export CSV/JSON, Backup/Restore gesamte Antragsdatenbank, Erfolgsquote-Statistik nach Fördergeber (ApexCharts), Fristablauf-Erinnerung, GSAP Status-Fortschritts-Animationen - USE CASE: Non-Profit-Organisationen und Vereine behalten bei mehreren parallelen Förderanträgen Fristen und Status im Blick, die Erfolgsquoten-Statistik zeigt welche Fördergeber sich für künftige Anträge besonders lohnen.\n\n## Kategorie 7: ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)\n\n61. **#661** — erstelle eine Unternehmens-IT-Asset-Datenbank für Laptops und Lizenzen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Asset-Stammdaten Gerätetyp/Seriennummer/Zuweisung-Mitarbeiter/Kaufdatum/Garantie-Ablauf, Zuweisungs-Historie welcher Mitarbeiter hatte welches Gerät wann, Lizenz-Verknüpfung installierte Software pro Gerät, Wartungs-und-Reparatur-Log pro Asset, Volltextsuche mit Filtern nach Gerätetyp/Status/Abteilung, Sortierbare Ansicht nach Garantie-Ablauf/Zuweisung/Alter, Verknüpfung zwischen Geräten und zugewiesenen Mitarbeitern, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Seriennummer-Format, Import/Export CSV/JSON für Inventur, Backup/Restore gesamte IT-Asset-Datenbank, Geräteverteilung nach Abteilung und Alter (ApexCharts Treemap), Garantie-Ablauf-Warnung, GSAP Geräte-Zuweisungs-Animationen - USE CASE: IT-Abteilungen behalten bei hunderten Laptops und Geräten Zuweisung und Garantiestatus zentral im Blick, die Garantie-Warnung verhindert kostspielige Reparaturen kurz nach Garantieablauf unbemerkt zu übersehen.\n\n62. **#662** — entwickle eine Software-Lizenz-Tracker-Datenbank für Compliance-Audits - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lizenz-Stammdaten Software/Lizenztyp/Anzahl-Sitze/Ablaufdatum/Kosten, Zuweisungs-Tracking welcher Nutzer belegt welchen Sitzplatz, Nutzungsauslastung-Anzeige belegte-vs-verfügbare-Lizenzen, Verlängerungs-Erinnerung mit Vorlaufzeit, Volltextsuche mit Filtern nach Software/Ablaufstatus/Abteilung, Sortierbare Ansicht nach Ablaufdatum/Auslastung/Kosten, Verknüpfung zwischen Lizenzen und IT-Asset-Datenbank, Duplikat-Erkennung gleiche Lizenz mehrfach erfasst, Datenvalidierung Pflichtfelder und Kostenformat, Import/Export CSV/JSON für Einkauf, Backup/Restore gesamte Lizenzdatenbank, Lizenzkosten-Entwicklung über Zeit (ApexCharts Line), Unnötige-Lizenz-Erkennung wenig genutzte Sitze, GSAP Auslastungs-Balken-Animationen - USE CASE: Unternehmen vermeiden durch systematisches Lizenz-Tracking teure Compliance-Verstöße bei Software-Audits, die Unnötige-Lizenz-Erkennung deckt ungenutzte Sitzplätze auf und spart wiederkehrende Kosten.\n\n63. **#663** — programmiere eine Fahrzeugflotten-Datenbank mit Wartungs-Log - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Fahrzeug-Stammdaten Kennzeichen/Modell/Baujahr/Kilometerstand/nächster-TÜV, Fahrer-Zuweisungs-Historie wer fuhr wann welches Fahrzeug, Wartungs-und-Reparatur-Log pro Fahrzeug mit Kosten, Standort-Karte aktuelle-Fahrzeugpositionen-Mockup (Leaflet), Volltextsuche mit Filtern nach Modell/Status/Fahrer, Sortierbare Ansicht nach TÜV-Fälligkeit/Kilometerstand/Wartungsstatus, Verknüpfung zwischen Fahrzeugen und Fahrer-Datensätzen, Duplikat-Erkennung bei Kennzeichen, Datenvalidierung Pflichtfelder und Kennzeichen-Format, Import/Export CSV/JSON für Flottenversicherung, Backup/Restore gesamte Flottendatenbank, Betriebskosten-Statistik pro Fahrzeug (ApexCharts Balken), TÜV-und-Wartungs-Fälligkeits-Warnung, GSAP Flottenkarten-Animationen - USE CASE: Unternehmen mit eigenem Fuhrpark behalten Wartungstermine und Kosten pro Fahrzeug systematisch im Blick, die Fälligkeits-Warnung verhindert dass Fahrzeuge ohne gültigen TÜV im Einsatz sind.\n\n64. **#664** — baue eine Raum-Ressourcen-Buchungsdatenbank mit Konflikt-Erkennung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Raum-Stammdaten Name/Kapazität/Ausstattung/Standort, Buchungs-Kalender pro Raum mit Zeitfenstern, Konflikt-Erkennung bei Doppelbuchung, Ausstattungs-Filter Beamer/Videokonferenz/Whiteboard, Volltextsuche mit Filtern nach Kapazität/Ausstattung/Verfügbarkeit, Sortierbare Ansicht nach Auslastung/Kapazität/Standort, Verknüpfung zwischen Buchungen und Mitarbeiter-/Team-Datensätzen, Duplikat-Erkennung überlappender Buchungen, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON/Kalenderformat, Backup/Restore gesamte Buchungsdatenbank, Raumauslastungs-Statistik pro Standort (ApexCharts Heatmap), No-Show-Erkennung nicht genutzte Buchungen, GSAP Kalender-Buchungs-Animationen - USE CASE: Unternehmen mit mehreren Besprechungsräumen vermeiden Doppelbuchungen durch automatische Konflikterkennung, die Auslastungsstatistik zeigt ob zusätzliche Räume benötigt oder ungenutzte Kapazitäten reduziert werden können.\n\n65. **#665** — erstelle eine Server-Netzwerk-Inventar-Datenbank mit Topologie-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Server-Stammdaten Hostname/IP-Adresse/Standort-Rack/Betriebssystem/Rolle, Netzwerktopologie-Visualisierung Verbindungen zwischen Servern (D3.js Netzwerkgraph), Wartungsfenster-Planung pro Server, Patch-Status-Tracking letztes-Update-pro-System, Volltextsuche mit Filtern nach Rolle/Standort/Patch-Status, Sortierbare Ansicht nach Patch-Alter/Standort/Rolle, Verknüpfung zwischen Servern und abhängigen Diensten, Duplikat-Erkennung bei IP-Adress-Konflikt, Datenvalidierung Pflichtfelder und IP-Format-Prüfung, Import/Export CSV/JSON für Netzwerkdokumentation, Backup/Restore gesamtes Inventar, Patch-Compliance-Dashboard (ApexCharts Gauge), Veraltete-Systeme-Warnung, GSAP Netzwerktopologie-Animationen - USE CASE: IT-Abteilungen dokumentieren ihre Serverlandschaft strukturiert für Audits und Notfallpläne, die Patch-Compliance-Anzeige deckt sofort auf welche Systeme dringend aktualisiert werden müssen.\n\n66. **#666** — entwickle eine Firmenhandy-Mobile-Device-Datenbank mit Vertragskosten-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gerät-Stammdaten IMEI/Modell/Zuweisung-Mitarbeiter/Vertragslaufzeit, Zuweisungs-Historie Gerätewechsel-Nachverfolgung, Vertragskosten-Tracking pro Gerät und Tarif, Verlust-und-Diebstahl-Meldung-Workflow-Mockup, Volltextsuche mit Filtern nach Modell/Status/Abteilung, Sortierbare Ansicht nach Vertragsende/Kosten/Zuweisung, Verknüpfung zwischen Geräten und Mitarbeiter-Datensätzen, Duplikat-Erkennung bei IMEI, Datenvalidierung Pflichtfelder und IMEI-Format, Import/Export CSV/JSON, Backup/Restore gesamte Gerätedatenbank, Kostenverteilung nach Abteilung (ApexCharts Treemap), Vertragsverlängerungs-Erinnerung, GSAP Geräte-Zuweisungs-Animationen - USE CASE: Unternehmen mit vielen Firmenhandys behalten Vertragskosten und Zuweisungen abteilungsübergreifend im Blick, die Kostenverteilung erleichtert die interne Verrechnung an die jeweiligen Kostenstellen.\n\n67. **#667** — programmiere eine Peripheriegeräte-Zubehör-Inventar-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zubehör-Stammdaten Gerätetyp-Monitor-Tastatur-Headset/Zuweisung/Zustand/Kaufdatum, Ausleih-und-Rückgabe-Tracking bei Pool-Geräten, Zustandsdokumentation mit Fotos bei Rückgabe, Ersatzbeschaffungs-Bedarf-Liste bei Defekten, Volltextsuche mit Filtern nach Gerätetyp/Status/Zuweisung, Sortierbare Ansicht nach Zustand/Kaufdatum/Zuweisung, Verknüpfung zwischen Zubehör und Hauptgeräten der IT-Asset-Datenbank, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Bestandsstatistik nach Gerätetyp und Zustand (ApexCharts Balken), Nachbestellungs-Schwellenwert-Warnung, GSAP Lager-Bestands-Animationen - USE CASE: IT-Abteilungen behalten bei umfangreichem Zubehörlager wie Monitoren und Headsets den Überblick über Verfügbarkeit und Zustand, die Nachbestellungs-Warnung verhindert Engpässe bei Neueinstellungen.\n\n68. **#668** — baue eine Domain-und-SSL-Zertifikat-Tracker-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Domain-Stammdaten Domainname/Registrar/Ablaufdatum/verantwortliches-Team, SSL-Zertifikat-Verknüpfung pro Domain mit Ablaufdatum, Auto-Renewal-Status-Kennzeichnung aktiviert/manuell, DNS-Konfigurations-Notizen pro Domain, Volltextsuche mit Filtern nach Registrar/Ablaufstatus/Team, Sortierbare Ansicht nach Ablaufdatum/Domain/Zuständigkeit, Verknüpfung zwischen Domains und zugehörigen Zertifikaten, Duplikat-Erkennung bei Domainname, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore gesamte Domain-Datenbank, Ablaufübersicht-Dashboard kommende-30-60-90-Tage (ApexCharts Gauge), Kritische-Ablauf-Warnung rot-markiert, GSAP Ablauf-Countdown-Animationen - USE CASE: Unternehmen mit vielen Domains und Zertifikaten vermeiden peinliche Ausfälle durch abgelaufene SSL-Zertifikate, die 30-60-90-Tage-Übersicht schafft rechtzeitigen Vorlauf für Verlängerungen.\n\n69. **#669** — erstelle eine Cloud-SaaS-Abo-Tracker-Datenbank für Kostenkontrolle - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: SaaS-Tool-Stammdaten Name/Anbieter/Plan/Kosten-pro-Nutzer/Vertragslaufzeit, Nutzer-Zuweisung pro Tool mit Aktiv-Status, Kostenverteilung nach Abteilung und Tool, Kündigungsfristen-Erinnerung vor automatischer Verlängerung, Volltextsuche mit Filtern nach Anbieter/Abteilung/Ablaufstatus, Sortierbare Ansicht nach Kosten/Nutzeranzahl/Ablaufdatum, Verknüpfung zwischen Tools und zugewiesenen Mitarbeitern, Duplikat-Erkennung ähnlicher Tool-Namen redundante-Anschaffungen, Datenvalidierung Pflichtfelder und Kostenformat, Import/Export CSV/JSON für Controlling, Backup/Restore gesamte SaaS-Datenbank, Gesamtkosten-Entwicklung über Zeit (ApexCharts Line), Ungenutzte-Lizenzen-Erkennung, GSAP Kosten-Dashboard-Animationen - USE CASE: Unternehmen mit wachsender SaaS-Tool-Landschaft behalten die Kostenkontrolle über alle Abonnements zentral, die Erkennung redundanter Anschaffungen deckt doppelt bezahlte ähnliche Tools zwischen Abteilungen auf.\n\n70. **#670** — entwickle eine Zutrittskontroll-Schlüssel-Asset-Datenbank für Facility-Management - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schlüssel-Zugangskarten-Stammdaten Typ/Bereich/Ausgabe-an/Ausgabedatum, Rückgabe-Tracking bei Mitarbeiteraustritt mit Status offen/zurückgegeben, Bereichs-Zuordnung welcher Schlüssel öffnet welche Räume, Verlustmeldungs-Workflow mit Sperr-Status, Volltextsuche mit Filtern nach Bereich/Status/Mitarbeiter, Sortierbare Ansicht nach Ausgabedatum/Status/Bereich, Verknüpfung zwischen Schlüsseln und Mitarbeiter-Datensätzen, Duplikat-Erkennung bei Schlüsselnummer, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Sicherheitsaudit, Backup/Restore gesamte Zutrittsdatenbank, Offene-Rückgaben-Statistik nach Abteilung (ApexCharts), Austritts-Checklisten-Verknüpfung, GSAP Zutrittsstatus-Animationen - USE CASE: Facility-Management behält bei physischen Zutrittsmitteln den Überblick wer wohin Zugang hat, die Austritts-Checklisten-Verknüpfung stellt sicher dass ausscheidende Mitarbeiter lückenlos alle Schlüssel zurückgeben.\n\n## Kategorie 8: EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)\n\n71. **#671** — programmiere eine Terminbuchungs-Datenbank für Kleinunternehmen wie Friseursalons - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Termin-Stammdaten Kunde/Dienstleistung/Datum-Uhrzeit/Mitarbeiter, Verfügbarkeits-Kalender pro Mitarbeiter mit Zeitslots, Konflikt-Erkennung bei Doppelbuchung, Erinnerungs-Funktion vor Termin an Kunden-Mockup, Volltextsuche mit Filtern nach Kunde/Dienstleistung/Mitarbeiter, Sortierbare Ansicht nach Datum/Mitarbeiter/Status, Verknüpfung zwischen Terminen und Kundendatensätzen, Duplikat-Erkennung überlappender Termine, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON/Kalenderformat, Backup/Restore gesamte Termindatenbank, Auslastungsstatistik pro Mitarbeiter und Wochentag (ApexCharts Heatmap), No-Show-Rate-Tracking, GSAP Kalender-Buchungs-Animationen - USE CASE: Friseursalons und Praxen mit mehreren Mitarbeitern verwalten Terminbuchungen zentral ohne Doppelbuchungen, die Auslastungsstatistik zeigt welche Wochentage zusätzliches Personal benötigen.\n\n72. **#672** — baue eine Event-Gästeliste-Datenbank mit RSVP-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gast-Stammdaten Name/Kategorie/Begleitung/Ernährungshinweise, RSVP-Status-Tracking zugesagt/abgesagt/ausstehend, Tischplanungs-Zuordnung pro Gast, Einladungsversand-Historie-Mockup, Volltextsuche mit Filtern nach RSVP-Status/Kategorie/Tisch, Sortierbare Ansicht nach Nachname/RSVP-Status/Tisch, Verknüpfung zwischen Gästen und Begleitpersonen, Duplikat-Erkennung ähnlicher Namen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Caterer, Backup/Restore gesamte Gästeliste, RSVP-Rücklaufquote-Statistik (ApexCharts Donut), Erinnerungs-Funktion bei ausstehender Antwort, GSAP Gästeliste-Update-Animationen - USE CASE: Veranstalter größerer Feiern wie Hochzeiten behalten Zusagen und Ernährungshinweise aller Gäste übersichtlich im Blick, die Rücklaufquote hilft rechtzeitig bei ausstehenden Antworten nachzufassen.\n\n73. **#673** — erstelle eine Veranstaltungsort-Raumreservierungs-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Veranstaltungsort-Stammdaten Name/Kapazität/Ausstattung/Mietpreis, Reservierungs-Kalender mit Zeitfenstern und Buchendem, Konflikt-Erkennung bei Doppelbuchung, Anzahlungs-und-Vertragsstatus-Tracking pro Reservierung, Volltextsuche mit Filtern nach Kapazität/Verfügbarkeit/Ausstattung, Sortierbare Ansicht nach Datum/Auslastung/Mietpreis, Verknüpfung zwischen Reservierungen und Kunden-/Veranstalter-Datensätzen, Duplikat-Erkennung überlappender Reservierungen, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamte Reservierungsdatenbank, Auslastungsstatistik nach Saison und Wochentag (ApexCharts Heatmap), Stornierungsquote-Tracking, GSAP Belegungskalender-Animationen - USE CASE: Betreiber von Veranstaltungsräumen vermeiden Doppelbuchungen durch systematische Kalenderverwaltung, die Saisonauslastung hilft bei der Preisgestaltung für Nebensaison-Rabatte.\n\n74. **#674** — entwickle eine Kurs-und-Workshop-Anmeldungs-Datenbank mit Warteliste - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurs-Stammdaten Titel/Termin/Kursleiter/max-Teilnehmerzahl, Teilnehmer-Anmeldungs-Liste pro Kurs mit Warteliste bei Überbuchung, Bezahlstatus-Tracking pro Teilnehmer, Anwesenheits-Tracking pro Kurstermin, Volltextsuche mit Filtern nach Kurs/Status/Bezahlstatus, Sortierbare Ansicht nach Anmeldedatum/Kurs/Auslastung, Verknüpfung zwischen Teilnehmern und mehreren gebuchten Kursen, Duplikat-Erkennung Mehrfachanmeldung derselben Person, Datenvalidierung Pflichtfelder und Kapazitätsprüfung vor Anmeldung, Import/Export CSV/JSON für Teilnehmerlisten, Backup/Restore gesamte Kursdatenbank, Auslastungsstatistik pro Kurs (ApexCharts Balken), Warteliste-Nachrück-Benachrichtigung, GSAP Anmeldeformular-Animationen - USE CASE: Volkshochschulen und private Kursanbieter verwalten Anmeldungen und Wartelisten für begrenzte Kursplätze effizient, die Auslastungsstatistik zeigt welche Kursthemen besonders gefragt sind für die Programmplanung.\n\n75. **#675** — programmiere eine Hochzeitsplanung-Dienstleister-und-Gäste-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dienstleister-Stammdaten Kategorie-Catering-Fotograf-Location/Kontakt/Vertragsstatus/Budget, Gäste-Verknüpfung separate Gästeliste mit RSVP-Status, Budget-Tracking geplant-vs-tatsächlich pro Kategorie, Zeitplan-Checkliste Aufgaben bis zur Hochzeit mit Fälligkeit, Volltextsuche mit Filtern nach Kategorie/Status/Budget, Sortierbare Ansicht nach Fälligkeit/Budget/Status, Verknüpfung zwischen Dienstleistern und Vertragsdokumenten, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Budgetformat, Import/Export CSV/JSON, Backup/Restore gesamte Planungsdatenbank, Budget-Verteilung nach Kategorie (ApexCharts Treemap), Countdown-Fälligkeits-Warnung offener Aufgaben, GSAP Checklisten-Fortschritts-Animationen - USE CASE: Brautpaare behalten bei der Hochzeitsplanung Dutzende Dienstleister und Budget-Posten gleichzeitig im Blick, die Budget-Verteilung zeigt frühzeitig ob einzelne Kategorien den Rahmen sprengen.\n\n76. **#676** — baue eine Konferenz-Sprecher-und-Sessions-Datenbank ohne Zeitkonflikte - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprecher-Stammdaten Name/Thema/Biografie/Kontakt/Vertragsstatus, Session-Stammdaten Titel/Zeitslot/Raum/Track-Zuordnung, Verknüpfung zwischen Sprechern und ihren Sessions, Konflikt-Erkennung bei Zeitslot-Überschneidung im selben Raum, Volltextsuche mit Filtern nach Track/Sprecher/Zeitslot, Sortierbare Ansicht nach Zeitslot/Track/Raum, Verknüpfung zwischen Sessions und Teilnehmer-Anmeldungen, Duplikat-Erkennung ähnlicher Session-Titel, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON für Programmheft-Druck, Backup/Restore gesamtes Konferenzprogramm, Track-Auslastungsstatistik nach Beliebtheit (ApexCharts Balken), Sprecher-Bestätigungsstatus-Übersicht, GSAP Programmplan-Animationen - USE CASE: Konferenzveranstalter koordinieren Dutzende Sprecher und parallele Sessions ohne Raum- oder Zeitkonflikte, die Track-Auslastungsstatistik unterstützt die Planung künftiger Konferenzen nach Teilnehmerinteresse.\n\n77. **#677** — erstelle eine Sportliga-Turnier-Terminplanungs-Datenbank mit Tabellenberechnung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Team-Stammdaten Name/Liga/Kontaktperson/Spielstärke, Spielplan-Generierung mit Terminen und Austragungsort, Ergebnis-Erfassung pro Spiel mit Tabellenberechnung, Schiedsrichter-Zuweisung pro Spiel, Volltextsuche mit Filtern nach Liga/Team/Spieltag, Sortierbare Ansicht nach Spieltag/Tabellenplatz/Team, Verknüpfung zwischen Spielen und beteiligten Teams, Duplikat-Erkennung überlappender Spielansetzungen am selben Ort, Datenvalidierung Pflichtfelder und Terminüberschneidungs-Prüfung, Import/Export CSV/JSON für Liga-Verband, Backup/Restore gesamte Turnierdatenbank, Tabellen-und-Formstatistik pro Team (ApexCharts Balken), Spielausfall-Nachhol-Terminvorschlag, GSAP Tabellen-Update-Animationen - USE CASE: Amateur-Sportligen organisieren Spielpläne und Tabellen für mehrere Teams strukturiert ohne Terminüberschneidungen, die Formstatistik liefert Vereinen und Fans spannende Einblicke in die Saisonentwicklung.\n\n78. **#678** — entwickle eine Vereinshaus-Aktivitätsbuchungs-Datenbank für Gemeindezentren - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aktivitäts-Stammdaten Kursname/Zeitfenster/Betreuer/max-Teilnehmer, Mitglieder-Buchungs-Tracking wer nimmt an welcher Aktivität teil, Raumzuordnung pro Aktivität mit Konflikt-Erkennung, Beitrags-Status-Verknüpfung Mitgliedschaft aktiv-vorausgesetzt, Volltextsuche mit Filtern nach Aktivität/Zeitfenster/Verfügbarkeit, Sortierbare Ansicht nach Auslastung/Zeitfenster/Beliebtheit, Verknüpfung zwischen Aktivitäten und Mitglieder-Datensätzen, Duplikat-Erkennung Mehrfachbuchung, Datenvalidierung Pflichtfelder und Kapazitätsprüfung, Import/Export CSV/JSON, Backup/Restore gesamte Aktivitätsdatenbank, Teilnahmestatistik pro Aktivität und Monat (ApexCharts), Warteliste-Nachrück-Funktion, GSAP Belegungsplan-Animationen - USE CASE: Gemeindezentren und Vereine mit vielfältigem Kursangebot verwalten Teilnehmerbuchungen und Raumbelegung zentral, die Teilnahmestatistik zeigt welche Angebote ausgebaut oder eingestellt werden sollten.\n\n79. **#679** — programmiere eine Verleih-Equipment-Buchungs-Datenbank für Partyverleih - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Verleihartikel-Stammdaten Artikel-Partyzelt-Tische-Stühle/Menge/Zustand, Buchungs-Kalender pro Artikel mit Verfügbarkeitsprüfung, Kunden-Verknüpfung wer hat wann was gebucht, Kaution-und-Zustandsprotokoll bei Rückgabe, Volltextsuche mit Filtern nach Artikel/Zeitraum/Verfügbarkeit, Sortierbare Ansicht nach Buchungsdatum/Artikel/Kunde, Verknüpfung zwischen Buchungen und Kundendatensätzen, Duplikat-Erkennung überbuchter Artikel im selben Zeitraum, Datenvalidierung Pflichtfelder und Verfügbarkeitsprüfung vor Bestätigung, Import/Export CSV/JSON für Rechnungsstellung, Backup/Restore gesamte Verleihdatenbank, Auslastungsstatistik pro Artikel und Saison (ApexCharts Heatmap), Beschädigungs-Historie pro Artikel, GSAP Verfügbarkeitskalender-Animationen - USE CASE: Partyverleih-Betriebe vermeiden durch die Verfügbarkeitsprüfung Doppelbuchungen begrenzter Ausrüstung wie Zelte, die Saisonauslastung unterstützt die Investitionsentscheidung für zusätzliche Bestände vor der Hochsaison.\n\n80. **#680** — baue eine Ehrenamtliche-Schichtplanungs-Datenbank für Events und Festivals - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schicht-Stammdaten Event/Zeitfenster/benötigte-Rolle/Anzahl-Helfer, Freiwilligen-Zuweisung pro Schicht mit Verfügbarkeitsabgleich, Rollen-Qualifikation-Kennzeichnung Ersthelfer/Kassierer/Aufbau, Erinnerungs-Funktion vor zugewiesener Schicht, Volltextsuche mit Filtern nach Event/Rolle/Verfügbarkeit, Sortierbare Ansicht nach Zeitfenster/Besetzungsgrad, Verknüpfung zwischen Schichten und Freiwilligen-Datensätzen, Duplikat-Erkennung überlappender Schichtzuweisungen derselben Person, Datenvalidierung Pflichtfelder und Zeitüberschneidungs-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Schichtplanung, Besetzungsgrad-Dashboard pro Event (ApexCharts Gauge), Unterbesetzte-Schichten-Warnung, GSAP Schichtplan-Animationen - USE CASE: Vereine und Festivalorganisatoren koordinieren Dutzende freiwillige Helfer über mehrere Schichten hinweg konfliktfrei, die Unterbesetzt-Warnung ermöglicht rechtzeitiges Nachrekrutieren vor kritischen Lücken im Ablauf.\n\n## Kategorie 9: GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)\n\n81. **#681** — erstelle eine persönliche Gesundheitsakte-Datenbank für Medikamente und Termine - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gesundheits-Stammdaten Medikamente/Allergien/Vorerkrankungen/Arzttermine, Medikationsplan mit Dosierung und Einnahmezeit, Arzttermin-Historie mit Befund-Notizen, Impfstatus-Übersicht mit Auffrischungs-Erinnerung, Volltextsuche mit Filtern nach Kategorie/Zeitraum/Arzt, Sortierbare Ansicht nach Termin/Medikament/Wichtigkeit, Verknüpfung zwischen Diagnosen und verordneten Medikamenten, Duplikat-Erkennung bei Medikamenteneingabe, Datenvalidierung Pflichtfelder und Dosierungsformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamte Gesundheitsakte verschlüsselt-Mockup, Medikamenten-Übersicht-Dashboard aktueller-Plan (ApexCharts), Notfall-Kurzübersicht Allergien-und-Blutgruppe, GSAP Termin-Erinnerungs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Daten verbleiben ausschließlich lokal im Browser via IndexedDB, keine Server-Übertragung - USE CASE: Patienten mit mehreren Erkrankungen und Medikamenten behalten den Überblick für den nächsten Arztbesuch, die Notfall-Kurzübersicht kann im Ernstfall entscheidende Informationen schnell verfügbar machen. WICHTIG: Demo-Anwendung ausschließlich zur lokalen Selbstorganisation, keine Übertragung sensibler Gesundheitsdaten auf einen Server, ersetzt keine ärztliche Dokumentation.\n\n82. **#682** — entwickle eine Fitness-Log-Datenbank für Workouts und Körpermaße - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Trainings-Stammdaten Datum/Übung/Sätze/Wiederholungen/Gewicht, Körpermaße-Tracking Gewicht/Umfänge über Zeit, Trainingsplan-Verknüpfung Übungen einem Plan zugeordnet, Persönliche-Bestleistungen-Tracking pro Übung, Volltextsuche mit Filtern nach Übung/Zeitraum/Trainingsplan, Sortierbare Ansicht nach Datum/Übung/Fortschritt, Verknüpfung zwischen Trainingseinheiten und Trainingsplänen, Duplikat-Erkennung doppelter Einträge am selben Tag, Datenvalidierung Pflichtfelder und Gewichtsformat, Import/Export CSV/JSON, Backup/Restore gesamtes Trainingslog, Kraftzuwachs-Trend pro Übung (ApexCharts Line), Körpermaße-Entwicklung (ApexCharts), GSAP Fortschritts-Balken-Animationen - USE CASE: Fitness-Enthusiasten dokumentieren Trainingsfortschritt und Körpermaße über Monate hinweg strukturiert, die Bestleistungs-Anzeige motiviert zum kontinuierlichen Überbieten der eigenen Rekorde.\n\n83. **#683** — programmiere eine Haustier-Gesundheitsakte-Datenbank mit Impfhistorie - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Haustier-Stammdaten Name/Rasse/Geburtsdatum/Gewicht, Impf-und-Behandlungshistorie mit Tierarzt-Terminen, Medikationsplan bei chronischen Erkrankungen, Gewichtsverlauf-Tracking über Zeit, Volltextsuche mit Filtern nach Behandlungsart/Zeitraum/Tierarzt, Sortierbare Ansicht nach Termin/Behandlung/Haustier, Verknüpfung zwischen mehreren Haustieren desselben Haushalts, Duplikat-Erkennung bei Terminanlage, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Tierarztwechsel, Backup/Restore gesamte Haustier-Gesundheitsdatenbank, Gewichtsentwicklung pro Haustier (ApexCharts Line), Impf-Auffrischungs-Erinnerung, GSAP Terminplan-Animationen, PRIVATSPHÄRE-HINWEIS im Code: Daten verbleiben lokal im Browser, keine Übertragung an Dritte oder Tierarztpraxen ohne expliziten manuellen Export - USE CASE: Haustierbesitzer mit mehreren Tieren oder chronisch kranken Haustieren behalten Impf-und Behandlungstermine lückenlos im Blick, der Export erleichtert den reibungslosen Wechsel zu einer neuen Tierarztpraxis. WICHTIG: lokal gespeicherte Demo-Anwendung, kein Ersatz für tierärztliche Dokumentation.\n\n84. **#684** — baue eine Symptom-Tracking-Datenbank für chronisches Krankheitsmanagement - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Symptom-Log-Stammdaten Datum/Symptom/Intensität/Auslöser-Vermutung, Trigger-Korrelations-Analyse mögliche Zusammenhänge Ernährung/Wetter/Stress (D3.js), Medikamenteneinnahme-Verknüpfung mit Symptomverlauf, Verlaufsbericht-Export für Arztbesuche, Volltextsuche mit Filtern nach Symptom/Intensität/Zeitraum, Sortierbare Ansicht nach Datum/Intensität/Symptomtyp, Verknüpfung zwischen Symptomen und vermuteten Auslösern, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Intensitätsskala-Format, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamtes Symptomtagebuch verschlüsselt-Mockup, Symptomhäufigkeits-Trend über Monate (ApexCharts Line), Gute-und-schlechte-Tage-Kalenderübersicht, GSAP Trend-Animationen, PRIVATSPHÄRE-HINWEIS im Code: hochsensible Gesundheitsdaten verbleiben ausschließlich lokal im Browser, keine Cloud-Synchronisation in dieser Demo-Version - USE CASE: Menschen mit chronischen Erkrankungen wie Migräne oder Reizdarm erkennen durch systematisches Tracking wiederkehrende Auslösemuster, der Verlaufsbericht liefert dem behandelnden Arzt objektive Daten statt subjektiver Erinnerung. WICHTIG: dient der persönlichen Mustererkennung, ersetzt keine ärztliche Diagnose.\n\n85. **#685** — erstelle eine Medikamenten-Einnahme-Adhärenz-Datenbank mit Erinnerungsfunktion - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Medikamenten-Stammdaten Name/Dosierung/Einnahmezeitpunkt/verordnender-Arzt, Einnahme-Bestätigungs-Log genommen/vergessen pro Zeitpunkt, Wechselwirkungs-Hinweis-Mockup bei mehreren gleichzeitigen Medikamenten, Nachfüll-Erinnerung bei sinkendem Vorrat, Volltextsuche mit Filtern nach Medikament/Zeitraum/Adhärenz-Status, Sortierbare Ansicht nach Einnahmezeit/Adhärenzquote, Verknüpfung zwischen Medikamenten und verordnenden Ärzten, Duplikat-Erkennung bei Medikamenteneingabe, Datenvalidierung Pflichtfelder und Dosierungsformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamten Medikationsplan, Adhärenzquote-Statistik über Zeit (ApexCharts Gauge), Vergessene-Einnahmen-Muster-Erkennung nach Wochentag, GSAP Einnahme-Erinnerungs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Medikationsdaten bleiben lokal auf dem Gerät gespeichert, kein Cloud-Abgleich - USE CASE: Patienten mit komplexen Medikationsplänen behalten die Übersicht und verbessern nachweislich ihre Therapietreue, pflegende Angehörige nutzen die Adhärenzquote um rechtzeitig gegenzusteuern. WICHTIG: reine Erinnerungs- und Dokumentationshilfe, kein Medizinprodukt, ersetzt keine ärztliche Beratung zu Wechselwirkungen.\n\n86. **#686** — entwickle eine Schlaf-Tracking-Datenbank mit Muster- und Störfaktor-Analyse - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schlaf-Log-Stammdaten Datum/Einschlafzeit/Aufwachzeit/Schlafqualität-Bewertung, Störfaktoren-Erfassung Koffein/Bildschirmzeit/Stress, Schlafphasen-Schätzung-Mockup Tief-Leicht-REM, Wochentag-Muster-Erkennung Wochenende-vs-Wochentag, Volltextsuche mit Filtern nach Zeitraum/Qualität/Störfaktor, Sortierbare Ansicht nach Datum/Schlafdauer/Qualität, Verknüpfung zwischen Schlafqualität und erfassten Störfaktoren, Duplikat-Erkennung mehrfacher Einträge derselben Nacht, Datenvalidierung Pflichtfelder und Zeitformat-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamtes Schlaftagebuch, Schlafdauer-Trend über Wochen (ApexCharts Line), Korrelations-Heatmap Störfaktor-vs-Qualität (D3.js), GSAP Schlafzyklus-Animationen, PRIVATSPHÄRE-HINWEIS im Code: sämtliche Schlafdaten verbleiben lokal im Browser-Speicher ohne Server-Anbindung - USE CASE: Menschen mit Schlafproblemen identifizieren durch systematisches Tracking eigene Muster und Störfaktoren, die Korrelations-Heatmap macht sichtbar welche Gewohnheiten die Schlafqualität tatsächlich beeinflussen.\n\n87. **#687** — programmiere ein Stimmungstagebuch als mentale-Gesundheit-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Stimmungs-Log-Stammdaten Datum/Stimmungsskala/Auslöser/Notizen, Aktivitäts-Verknüpfung welche Tätigkeiten mit welcher Stimmung korrelieren, Trigger-Kategorisierung Arbeit/Beziehung/Gesundheit/Schlaf, Therapiesitzungs-Verknüpfung-Mockup falls in Behandlung, Volltextsuche mit Filtern nach Zeitraum/Stimmungslevel/Trigger, Sortierbare Ansicht nach Datum/Stimmungslevel, Verknüpfung zwischen Stimmungseinträgen und identifizierten Triggern, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Skalenformat, Import/Export CSV/JSON für Therapiegespräche, Backup/Restore gesamtes Stimmungstagebuch verschlüsselt-Mockup, Stimmungsverlauf über Monate (ApexCharts Line), Trigger-Häufigkeits-Analyse (ApexCharts Donut), GSAP sanfte Übergangs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: höchst sensible Daten verbleiben ausschließlich lokal auf dem Gerät, keinerlei Cloud-Synchronisation oder Analyse durch Dritte - USE CASE: Menschen in therapeutischer Begleitung dokumentieren Stimmungsverläufe zwischen Sitzungen für konstruktivere Gespräche mit ihrem Therapeuten, die Trigger-Analyse hilft eigenständig wiederkehrende Belastungsmuster zu erkennen. WICHTIG: kein Ersatz für professionelle psychologische oder psychiatrische Behandlung, bei akuten Krisen bitte an Fachpersonal oder Notdienste wenden.\n\n88. **#688** — baue einen Schwangerschaftskalender als Gesundheitsdatenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schwangerschafts-Stammdaten Errechneter-Termin/aktuelle-Woche/Gewichtszunahme, Vorsorgetermin-Historie mit Untersuchungsergebnissen, Symptom-Tagebuch pro Schwangerschaftswoche, Meilenstein-Tracking Ultraschalltermine/Screenings, Volltextsuche mit Filtern nach Woche/Termin-Typ, Sortierbare Ansicht nach Datum/Schwangerschaftswoche, Verknüpfung zwischen Vorsorgeterminen und Untersuchungsergebnissen, Duplikat-Erkennung bei Termineingabe, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Mutterpass-Ergänzung, Backup/Restore gesamten Schwangerschaftskalender, Gewichtszunahme-Verlauf nach Woche (ApexCharts Line), Countdown-bis-Errechneter-Termin, GSAP Wochenfortschritts-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Daten bleiben lokal im Browser gespeichert, kein Ersatz für den offiziellen Mutterpass - USE CASE: Schwangere behalten Vorsorgetermine und Körperveränderungen über die gesamte Schwangerschaft strukturiert im Blick, der Countdown und die Meilenstein-Übersicht schaffen Orientierung durch die einzelnen Schwangerschaftswochen. WICHTIG: ergänzt, ersetzt aber nicht den offiziellen Mutterpass, alle medizinischen Entscheidungen gehören in ärztliche Hände.\n\n89. **#689** — erstelle eine Physiotherapie-Reha-Übungslog-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übungs-Stammdaten Name/Zielbereich/Wiederholungen/Sätze/verordnet-von, Reha-Fortschritts-Tracking Schmerzskala und Beweglichkeit über Zeit, Übungsplan-Verknüpfung vom Physiotherapeuten vorgegeben, Terminverlauf Physiotherapie-Sitzungen, Volltextsuche mit Filtern nach Zielbereich/Zeitraum/Übungsplan, Sortierbare Ansicht nach Datum/Schmerzlevel/Fortschritt, Verknüpfung zwischen Übungen und verordnetem Behandlungsplan, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Skalenformat, Import/Export CSV/JSON für Physiotherapeuten, Backup/Restore gesamtes Reha-Logbuch, Schmerz-und-Beweglichkeits-Trend (ApexCharts Line), Übungstreue-Statistik geplant-vs-durchgeführt (ApexCharts Gauge), GSAP Fortschritts-Animationen, PRIVATSPHÄRE-HINWEIS im Code: Gesundheitsdaten verbleiben ausschließlich lokal im Browser ohne Server-Übertragung - USE CASE: Patienten in physiotherapeutischer Behandlung dokumentieren häusliche Übungen und Fortschritt zwischen den Terminen, der Trend aus Schmerz- und Beweglichkeitswerten liefert dem Therapeuten objektive Anhaltspunkte für die Plananpassung. WICHTIG: Dokumentationshilfe, kein Ersatz für die fachliche Beurteilung durch den behandelnden Physiotherapeuten.\n\n90. **#690** — entwickle eine Familien-Krankengeschichte-Datenbank für erbliche Erkrankungen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Familienmitglied-Stammdaten Name/Verwandtschaftsgrad/bekannte-Erkrankungen/Diagnosealter, Stammbaum-Verknüpfung erbliche Muster über Generationen (D3.js Baumdiagramm), Erkrankungs-Kategorisierung Herz-Kreislauf/Krebs/Stoffwechsel/genetisch, Risikofaktor-Übersicht basierend auf Familienhäufung, Volltextsuche mit Filtern nach Erkrankung/Verwandtschaftsgrad, Sortierbare Ansicht nach Diagnosealter/Erkrankungstyp, Verknüpfung zwischen Familienmitgliedern und ihren Erkrankungen, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Arztgespräche zur Familienanamnese, Backup/Restore gesamte Familienkrankengeschichte verschlüsselt-Mockup, Erkrankungshäufigkeit nach Familienzweig (ApexCharts Treemap), Generationsübergreifende-Muster-Anzeige, GSAP Stammbaum-Animationen, PRIVATSPHÄRE-HINWEIS im Code: hochsensible genetische und gesundheitsbezogene Familiendaten verbleiben ausschließlich lokal, keine Übertragung an genetische Beratungsstellen ohne expliziten manuellen Export - USE CASE: Familien mit gehäuft auftretenden Erkrankungen dokumentieren die Familienanamnese strukturiert für Arztgespräche und genetische Beratung, das Stammbaum-Diagramm macht erbliche Risikomuster über Generationen auf einen Blick erkennbar. WICHTIG: Hilfsmittel zur Gesprächsvorbereitung, ersetzt keine humangenetische Beratung, alle Daten bleiben lokal ohne Cloud-Anbindung.\n\n## Kategorie 10: GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)\n\n91. **#691** — programmiere eine Familienstammbaum-Genealogie-Datenbank mit Beziehungs-Verknüpfung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Personen-Stammdaten Name/Geburtsdatum/Sterbedatum/Geburtsort, Beziehungs-Verknüpfung Eltern-Kind-Ehepartner-Geschwister, Interaktiver-Stammbaum-Visualisierung mehrere Generationen (D3.js Baumdiagramm), Foto-und-Dokumenten-Anhang pro Person, Volltextsuche mit Filtern nach Nachname/Generation/Geburtsort, Sortierbare Ansicht nach Geburtsjahr/Generation/Familienzweig, Verknüpfung zwischen Personen und historischen Dokumenten, Duplikat-Erkennung ähnlicher Personen bei Neuanlage, Datenvalidierung Pflichtfelder und Datums-Plausibilität Geburt-vor-Tod, Import/Export GEDCOM-Mockup/CSV/JSON, Backup/Restore gesamter Stammbaum, Generationen-Verteilung und Familienzweig-Größe (ApexCharts Balken), Lücken-Erkennung fehlende Angaben in der Ahnenreihe, GSAP Stammbaum-Zoom-Animationen - USE CASE: Familienforscher bauen über Jahre einen detaillierten digitalen Stammbaum mit Belegen auf statt in Papierakten, die Lücken-Erkennung zeigt systematisch wo noch weitere Archivrecherche nötig ist.\n\n92. **#692** — baue ein historisches Dokumentenarchiv mit Metadaten-Tagging - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokument-Stammdaten Titel/Entstehungsjahr/Dokumenttyp/Urheber/Zustand, Metadaten-Tagging-System Thema/Region/beteiligte-Personen, Digitalisierungs-Status-Tracking gescannt/transkribiert/archiviert, Verknüpfung zu erwähnten Personen oder Orten, Volltextsuche mit Filtern nach Dokumenttyp/Jahr/Tag, Sortierbare Ansicht nach Entstehungsjahr/Digitalisierungsstatus, Verknüpfung zwischen zusammengehörigen Dokumenten derselben Akte, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Archivverwaltung, Backup/Restore gesamtes Archiv, Bestandsübersicht nach Dokumenttyp und Jahrzehnt (ApexCharts Treemap), Restaurierungsbedarf-Warnung bei schlechtem Zustand, GSAP Archivregal-Animationen - USE CASE: Archive und Heimatvereine katalogisieren historische Dokumente mit durchsuchbaren Metadaten statt physischer Karteikästen, die Restaurierungsbedarf-Warnung priorisiert welche empfindlichen Bestände zuerst konserviert werden müssen.\n\n93. **#693** — erstelle eine Foto-Archiv-Datenbank mit Tagging und Datierung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Foto-Stammdaten Aufnahmedatum-geschätzt/Ort/abgebildete-Personen/Fotograf, Datierungs-Schätzungs-Feld bei unsicherem Aufnahmedatum mit Konfidenz-Angabe, Personen-Tagging-System mehrere Personen pro Foto verknüpft, Themen-Alben-Zuordnung thematische Sammlungen, Volltextsuche mit Filtern nach Zeitraum/Ort/getaggter-Person, Sortierbare Ansicht nach Datum/Ort/Album, Verknüpfung zwischen Fotos und Personen-Datensätzen aus dem Stammbaum, Duplikat-Erkennung ähnlicher Fotos bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON mit Metadaten, Backup/Restore gesamtes Fotoarchiv, Foto-Verteilung nach Jahrzehnt und Ort (ApexCharts Balken), Unbestimmte-Personen-Liste noch zu identifizierende Personen, GSAP Fotoalbum-Blättern-Animationen - USE CASE: Familien digitalisieren und ordnen alte Fotosammlungen mit Personen- und Ortsangaben bevor Wissen über die Abgebildeten verloren geht, die Verknüpfung zum Stammbaum macht Fotos für künftige Generationen dauerhaft zuordenbar.\n\n94. **#694** — entwickle ein Heimatverein-Lokalgeschichte-Archiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Archiv-Eintrag-Stammdaten Titel/Zeitraum/Kategorie-Gebäude-Ereignis-Person/Quelle, Orts-Verknüpfung historische Gebäude und Straßenzüge mit heutiger Lage, Zeitzeugen-Interview-Verknüpfung falls vorhanden, Bild-und-Dokumenten-Anhang pro Eintrag, Volltextsuche mit Filtern nach Kategorie/Zeitraum/Ort, Sortierbare Ansicht nach Zeitraum/Kategorie/Relevanz, Verknüpfung zwischen Einträgen zu übergreifenden Themen Ortsgeschichte, Duplikat-Erkennung ähnlicher Einträge, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Vereinspublikationen, Backup/Restore gesamtes Ortsarchiv, Themenverteilung nach Kategorie und Jahrzehnt (ApexCharts Treemap), Fehlende-Dokumentation-Erkennung Lücken in der Ortschronik, GSAP Zeitleisten-Animationen - USE CASE: Heimat- und Geschichtsvereine bewahren lokale Ereignisse und Bauwerke digital für kommende Generationen, die Lücken-Erkennung zeigt welche Zeiträume der Ortschronik noch weiterer Recherche bedürfen.\n\n95. **#695** — programmiere ein Zeitzeugen-Interview-Transkript-Archiv durchsuchbar - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interview-Stammdaten Zeitzeuge/Aufnahmedatum/Themengebiet/Interviewer, Transkript-Text-Feld durchsuchbar mit Zeitstempel-Markierung, Themen-Tagging pro Textabschnitt für gezielte Recherche, Einverständniserklärungs-Status-Tracking-Mockup für Veröffentlichung, Volltextsuche im Transkript-Volltext mit Filtern nach Thema/Zeitzeuge, Sortierbare Ansicht nach Aufnahmedatum/Themengebiet, Verknüpfung zwischen Interviews zum selben historischen Ereignis, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Text für Publikationen, Backup/Restore gesamtes Interviewarchiv, Themenverteilung über alle Interviews (ApexCharts Donut), Veröffentlichungsstatus-Übersicht freigegeben-vs-gesperrt, GSAP Transkript-Scroll-Animationen - USE CASE: Geschichtsprojekte und Archive bewahren mündliche Überlieferungen von Zeitzeugen mit durchsuchbaren Transkripten für die historische Forschung, die Themen-Tagging-Struktur ermöglicht gezieltes Auffinden relevanter Passagen über viele Interviews hinweg.\n\n96. **#696** — baue eine Familien-Erbstück-Provenienz-Datenbank mit Besitzerketten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbstück-Stammdaten Objekt/Herkunftsperson/Entstehungsjahr-geschätzt/Zustand, Besitzerketten-Verknüpfung wer besaß das Stück in welcher Generation, Geschichten-und-Bedeutung-Feld zur Familienerzählung, Foto-Dokumentation mit Detailaufnahmen, Volltextsuche mit Filtern nach Objekttyp/Generation/Familienzweig, Sortierbare Ansicht nach Entstehungsjahr/Generation, Verknüpfung zwischen Erbstücken und Personen im Stammbaum, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Nachlassplanung, Backup/Restore gesamte Erbstück-Datenbank, Objektverteilung nach Kategorie und Generation (ApexCharts Treemap), Weitergabe-Planung wer soll Stück künftig erben, GSAP Vitrinen-Ansicht-Animationen - USE CASE: Familien dokumentieren die Herkunft und Bedeutung von Erbstücken bevor die Geschichten dahinter mit der älteren Generation verloren gehen, die Weitergabe-Planung unterstützt eine einvernehmliche Nachlassregelung wertvoller Familienstücke.\n\n97. **#697** — erstelle eine Auswanderer-Ahnen-Migrationsdatenbank mit Kartenrouten - HTML - TECH: Bulma+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Migrations-Stammdaten Person/Herkunftsort/Zielort/Auswanderungsjahr/Beweggrund, Reiseroute-Visualisierung auf Karte (Leaflet), Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Dokumenten-Anhang Passagierlisten-Einbürgerungsunterlagen-Mockup, Volltextsuche mit Filtern nach Herkunftsland/Zielland/Zeitraum, Sortierbare Ansicht nach Auswanderungsjahr/Herkunftsort, Verknüpfung zwischen mehreren Familienmitgliedern derselben Migrationswelle, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder und Jahresformat, Import/Export CSV/JSON für Ahnenforschungs-Austausch, Backup/Restore gesamte Migrationsdatenbank, Migrationsrouten-Statistik nach Jahrzehnt (ApexCharts Balken), Zielort-Häufigkeits-Karte, GSAP Kartenrouten-Animationen - USE CASE: Ahnenforscher dokumentieren die Auswanderungsgeschichte ihrer Familie mit Routen und Beweggründen nachvollziehbar, die Kartenvisualisierung macht historische Migrationsmuster ganzer Familienzweige über Kontinente hinweg sichtbar.\n\n98. **#698** — entwickle eine Kriegsgedenk-Militärakten-Genealogie-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Militärakten-Stammdaten Person/Einheit/Dienstzeitraum/Einsatzort, Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Auszeichnungs-und-Verwundungs-Dokumentation, Dokumenten-Anhang Wehrpass-Feldpostbriefe-Mockup, Volltextsuche mit Filtern nach Einheit/Zeitraum/Einsatzort, Sortierbare Ansicht nach Dienstzeitraum/Einheit, Verknüpfung zwischen Familienmitgliedern die in derselben Einheit dienten, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Militärarchiv-Recherche, Backup/Restore gesamte Militärakten-Datenbank, Einsatzort-Verteilung über Zeit (ApexCharts Balken), Gedenktag-Erinnerung für Familienmitglieder, GSAP Gedenk-Zeitleisten-Animationen - USE CASE: Familienforscher dokumentieren den Kriegsdienst früherer Generationen respektvoll mit belegten Quellen, die Verknüpfung zum Stammbaum bewahrt diese Erinnerungen dauerhaft für nachfolgende Generationen als Teil der Familiengeschichte.\n\n99. **#699** — programmiere ein Friedhofs-Grabstätten-Verzeichnis mit Kartenverortung - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Grabstätten-Stammdaten Verstorbener/Geburtsdatum/Sterbedatum/Grabnummer-Lage, Friedhofsplan-Verortung auf interaktiver Karte (Leaflet), Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Grabpflege-Status-Tracking gepflegt/verwaist/Auflösung-droht, Volltextsuche mit Filtern nach Nachname/Zeitraum/Friedhof, Sortierbare Ansicht nach Sterbedatum/Grabnummer, Verknüpfung zwischen Grabstätten derselben Familie Familiengrab, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder und Datums-Plausibilität, Import/Export CSV/JSON für Heimatvereins-Dokumentation, Backup/Restore gesamtes Grabstätten-Verzeichnis, Belegungsstatistik nach Zeitraum (ApexCharts Balken), Auflösungsfrist-Warnung bei drohendem Nutzungsende, GSAP Friedhofsplan-Animationen - USE CASE: Familienforscher und Heimatvereine dokumentieren Grabstätten samt Lage bevor Gräber im Zuge von Nutzungsfristen aufgelöst werden, die Auflösungsfrist-Warnung ermöglicht rechtzeitige Umbettung oder Dokumentation bedeutender historischer Gräber.\n\n100. **#700** — baue ein historisches Zeitungsausschnitt-Archiv für Lokalgeschichte - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeitungsausschnitt-Stammdaten Titel/Erscheinungsdatum/Zeitung/Thema, Volltext-Abschrift-Feld für durchsuchbare Inhalte, Erwähnte-Personen-und-Orte-Tagging, Scan-Anhang des Originalausschnitts, Volltextsuche im Abschrift-Text mit Filtern nach Zeitung/Zeitraum/Thema, Sortierbare Ansicht nach Erscheinungsdatum/Thema, Verknüpfung zwischen Ausschnitten zum selben Ereignis oder derselben Person, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Heimatvereins-Publikationen, Backup/Restore gesamtes Zeitungsarchiv, Themenverteilung nach Jahrzehnt (ApexCharts Treemap), Verknüpfung zu Personen im Familienstammbaum bei Namensnennung, GSAP Zeitungsausschnitt-Scroll-Animationen - USE CASE: Heimatvereine und Familienforscher bewahren historische Zeitungsberichte über lokale Ereignisse und erwähnte Personen durchsuchbar auf, die Verknüpfung zum Familienstammbaum verbindet trockene Archivdaten mit den persönlichen Geschichten realer Vorfahren.\n\n=== ENDE - 100 DATENBANK-APP HTML5-PROMPTS ALLER ART (BATCH 7) ===\n\n## Hinweis\nBatch 7 ist im Unterschied zu den bisherigen Batches 1-3, 5 (die jeweils eine Branche/einen Sektor bzw. eine Markenwelt durchgehen) winkel-basiert (\"angle-based\") aufgebaut: die Anwendungsklasse \"Datenbank-App\" selbst bildet die Klammer, und die 10 Kategorien wandern durch 10 unterschiedliche reale Datendomänen statt durch 10 Branchen desselben Sektors. Da der gesamte Stack konsequent Frontend-Only HTML5-Apps ohne Anwendungsserver produziert, gibt es in diesem Batch keine \"verschiedenen Datenbank-Technologien\" im klassischen Sinn (kein MySQL/PostgreSQL/MongoDB-Vergleich) — stattdessen ist \"Datenbank\" hier durchgängig als IndexedDB bzw. LocalStorage im Browser zu verstehen, die als vollwertige client-seitige Persistenzschicht mit strukturierten Datensätzen, Relationen zwischen Datensatz-Typen, Suche/Filter/Sortierung, Import/Export, Duplikat-Erkennung, Datenvalidierung und Backup/Restore fungiert. Die zehn Domänen (persönliche Inventare, Kontakte, Bibliotheken/Medien, Rezepte/Ernährung, Wissen/Referenz, Projekte/Aufgaben, IT-Assets, Events/Buchungen, Gesundheit/Fitness, Genealogie/Archiv) wurden bewusst so gewählt, dass sie sich gegenseitig nicht überschneiden und jeweils die typischen Muster einer Datenbank-Anwendung — Stammdaten, Relationen, Suche, Validierung, Reporting — an einem konkreten, alltagsnahen Anwendungsfall zeigen. In Kategorie 9 (Gesundheits- & Fitness-Datenbanken, #681-690) tragen alle gesundheitsbezogenen Prompts zusätzlich einen expliziten Privatsphäre-Hinweis, der klarstellt dass sensible Gesundheitsdaten in diesen Demo-Apps ausschließlich lokal im Browser verbleiben und keine Server-Übertragung stattfindet — eine bewusste Ergänzung angesichts der Sensibilität dieser Datenkategorie auch in einer reinen Frontend-Demo.\n\n---\n\n## Appendix: Archive-Tool-Promptliste\n\nDiese fünf Prompts gehören zur übergreifenden Archive- und Tool-Planung. Sie sind bewusst als eigener Appendix markiert und nicht Teil der 100 Datenbank-App-Prompts `#601–#700`.\n\n### Priorität 1 — Public Release Gate\n\nEntwickle ein Public Release Gate für den letzten Schritt vor der Veröffentlichung eines Archive-Builds. Es prüft Raw-Source-Leaks, Credential-Muster, private URLs, unsanitized HTML, externe und kaputte Links, fehlende Quellen, Snapshot-Konsistenz, Corpus-Zählungen, Duplicate-Gruppen, Accessibility-Grundchecks, CSP-Status und den Browser-Smoke-Test. Das Ergebnis soll klar zwischen `PUBLIC RELEASE: BLOCKED`, Warnungen und bestandenen Checks unterscheiden.\n\n### Priorität 2 — Snapshot Diff Explorer\n\nEntwickle einen Snapshot Diff Explorer, der zwei Archive-Builds vergleicht. Sichtbar werden neue, entfernte und geänderte Projekte, Frontmatter-Änderungen, Sicherheitsbefunde, neue oder entfernte Embeddings, Duplicate-Gruppen und veränderte Readiness-Grade. Jeder Unterschied erhält Source- und Snapshot-Referenzen, damit das statische Archiv nachvollziehbar versioniert bleibt.\n\n### Priorität 3 — Project Compare Lab\n\nEntwickle ein Project Compare Lab für zwei bis vier ausgewählte Projekte. Die Vergleichsansicht zeigt Status, Rebuild Grade, Tech Stack, Zielgruppe, Feature-Scope, Security Findings, Dependencies, Documentation Coverage, RAG Similarity, Source Confidence und Provenance nebeneinander. Das Tool soll Unterschiede erklären und nicht nur Rohfelder in Tabellenform darstellen.\n\n### Priorität 4 — RAG Evaluation Lab\n\nEntwickle ein RAG Evaluation Lab mit 20–50 Golden Queries und erwarteten Source-IDs. Es misst Recall@K, Precision@K, MRR, Citation Validity, Unsupported-Claim-Rate sowie den Vergleich zwischen lexical, semantic und hybrid retrieval. Zusätzlich soll es Snapshot-zu-Snapshot-Regressionsvergleiche und eine klare Kennzeichnung für Halluzinations- oder Redaction-Cases liefern.\n\nBeispiel:\n\n```text\nQuery: \"Stripe subscription checkout\"\nExpected sources: 3\nFound in top 8: 3\nRecall@8: 100%\nCitation validity: 100%\n```\n\n### Priorität 5 — Unified Archive Workbench\n\nEntwickle eine gemeinsame Archive Workbench für lokale Projekte, HTML-Analysen, Ebooks, Kataloge, Prompt-Ideen, Root-Dateien und RAG-Vektoren. Die Workbench bietet getrennte Provenance-Filter und die Modi Browse, Exact search, Hybrid search, Semantic search, Compare und Build handoff. Prompt-Ideen und Katalogdaten bleiben dabei sichtbar getrennt von lokaler Projekt-Evidence.\n",
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            "title": "DOMVS AVREA — Umsetzungsplan für `expansion.txt`",
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            "overview": "# DOMVS AVREA — Umsetzungsplan für `expansion.txt` **Quelle:** `expansion.txt` **Planstand:** 2026-09-07 **Ziel:** Die bestehende statische Archive-Intelligence-Suite schrittweise zu einer versionierten Evidence-to-Execution Control Plane ausbauen, ohne Originalquellen zu verändern oder Evidence-Rollen zu vermischen. ## 1. Review und Leitentscheidung Die Roadmap ist inhaltlich konsistent und beschreibt ein sinnvolles Zielbild: ```text Archive Snapshot → Sanitized Evidence → Provenance → Genome / Fusion → Build Package → Acceptance Plan → App Bootstrap → Validation → Change Impact → Rebuild / Release Decision ``` Die Umsetzung darf nicht mit späteren Oberflächen beginnen. Die kritischen Querschnittsverträge fehlen noch: 1. Eine einheitliche Sanitization muss vor Chunking, Embedding und jedem öffentlichen Export greifen. 2. Intelligence, RAG und Build Packages müssen dieselbe",
            "content": "# DOMVS AVREA — Umsetzungsplan für `expansion.txt`\n\n**Quelle:** `expansion.txt`  \n**Planstand:** 2026-09-07  \n**Ziel:** Die bestehende statische Archive-Intelligence-Suite schrittweise zu einer versionierten Evidence-to-Execution Control Plane ausbauen, ohne Originalquellen zu verändern oder Evidence-Rollen zu vermischen.\n\n## 1. Review und Leitentscheidung\n\nDie Roadmap ist inhaltlich konsistent und beschreibt ein sinnvolles Zielbild:\n\n```text\nArchive Snapshot\n→ Sanitized Evidence\n→ Provenance\n→ Genome / Fusion\n→ Build Package\n→ Acceptance Plan\n→ App Bootstrap\n→ Validation\n→ Change Impact\n→ Rebuild / Release Decision\n```\n\nDie Umsetzung darf nicht mit späteren Oberflächen beginnen. Die kritischen\nQuerschnittsverträge fehlen noch:\n\n1. Eine einheitliche Sanitization muss vor Chunking, Embedding und jedem\n   öffentlichen Export greifen.\n2. Intelligence, RAG und Build Packages müssen dieselbe Snapshot-Identität\n   referenzieren.\n3. Heuristische Scores müssen von ausgeführten und bestandenen Checks getrennt\n   bleiben.\n4. Build Packages brauchen ein stabiles Schema, Import/Export-Roundtrip und\n   Stale-Erkennung, bevor Bootstrap oder Collaboration sinnvoll sind.\n5. Der zentrale Generator sollte erst nach stabilisierten Datenverträgen\n   modularisiert werden; sonst werden die gleichen Schnittstellen mehrfach\n   umgebaut.\n\n## 2. Scope-Regeln\n\nDiese Regeln gelten für jede Phase:\n\n- `replit.md`, E-Books, Handbooks und sonstige Originalquellen bleiben\n  unverändert.\n- Private Source Inventory und veröffentlichbares Sanitized Corpus bleiben\n  getrennte Arteklassen.\n- Snapshot-, Heuristik- und Live-Evidence werden getrennt gespeichert,\n  bezeichnet und bewertet.\n- Jede belastbare Aussage erhält Source- oder Evidence-IDs; Annahmen werden\n  explizit als solche markiert.\n- Environment-Variablennamen dürfen in Packages stehen, Werte und Secrets\n  niemals.\n- Statische Nutzung, HTTP-Export und Offline-Fallback bleiben funktionsfähig.\n- Jeder neue Export erhält `schema_version`, Provenance-Verweis und messbare\n  Akzeptanzkriterien.\n- Kein Readiness-, Opportunity- oder Rebuildability-Score darf einen\n  ausgeführten Test vortäuschen.\n\n## 3. Zielarchitektur und Artefaktverträge\n\n### 3.1 Bestehende Eingänge\n\n- `0-REPLIT-MD-EXPORT/` — lokale Projektquellen\n- `new-html-stack.json` — Stack-Kandidaten\n- `stack-100-prompts.md`, `dvag-100-prompts.md`, weitere Prompt-Dateien —\n  Ideen-/Discovery-Kataloge\n- `replit-stack-komplett.txt` — Snapshot-Evidence\n- `tools/build_archive_intelligence.py` — Intelligence-/Catalog-Generator\n- `tools/build_rag_index.py` — RAG-Dokumente, Chunks und Manifest\n- `tools/embed_rag_index.py` — Embedding-Erzeugung\n\n### 3.2 Neue gemeinsame Verträge\n\nDie folgenden Verträge werden einmal definiert und von Generator, RAG,\nControl Room und Build Factory wiederverwendet:\n\n- **Snapshot Manifest:** Snapshot-ID, Capture-Zeitpunkt, Source-Liste,\n  normalisierte und sanitizierte Hashes, Generator-/Konfigurationshash,\n  Parent-Build.\n- **Evidence Reference:** `source_id`, `record_id`, optional `chunk_id`,\n  Heading-Pfad, Evidence-Rolle und Evidence-Grade.\n- **Sanitized Corpus Record:** maskierter Text, stabile Source-ID,\n  Heading-Metadaten, Sanitization-Report-ID.\n- **Build Package:** Package-ID/-Version, Snapshot-ID, Quellen und Chunks,\n  Produktvertrag, Anforderungen, Stack, Abhängigkeiten, Risiken, Konflikte,\n  Gates, Milestones, Acceptance Cases und Rollback-Strategie.\n- **Acceptance Case:** Requirement, Given/When/Then, Testtyp, Kommando,\n  erwartetes Ergebnis, Evidence, Status und Artefakt-Links.\n- **Validation Result:** Package-ID/-Version, Checktyp, Start/Ende, Exit-Code,\n  Status, Log-/Screenshot-Referenz und verwendete Snapshot-ID.\n- **Live Evidence Result:** URL, Redirect-Kette, Status, TLS/DNS/Timeout,\n  Zeitpunkt und separate Live-Evidence-ID.\n\nBreaking Changes an diesen Verträgen erfordern `schema_version`-Erhöhung und\neine explizite Migration oder Ablehnung.\n\n## 4. Phasenplan\n\n### Phase 0 — Contract Baseline und Test-Fixtures\n\n**Priorität:** P0, technische Voraussetzung  \n**Abhängigkeiten:** keine\n\n**Arbeitspakete**\n\n1. Fixture-Sammlung anlegen:\n   minimales/großes Projekt, fehlende Datei, Duplicate Name, Unicode,\n   relative Creation Date, Secret Fixture, ungültige URL, widersprüchliche\n   Fusion und veraltetes Manifest.\n2. Gemeinsame Schema- und ID-Regeln festlegen.\n3. Deterministische Canonicalization für JSON, Markdown-Metadaten und\n   Konfiguration definieren.\n4. Baseline- und Clean-Build-Vergleich als Testablauf dokumentieren.\n\n**Akzeptanz**\n\n- Gleiche Eingaben erzeugen byte- oder semantisch stabile IDs und Hashes.\n- Fixtures können Generator-, RAG- und Package-Tests speisen.\n- Keine Änderung an Originalquellen ist für einen Build erforderlich.\n\n### Phase A — Safe Publication Boundary\n\n**Priorität:** P0, vor jeder Veröffentlichung  \n**Abhängigkeiten:** Phase 0\n\n#### A1 Sanitized Corpus Compiler\n\n- Sanitization zentral in einem wiederverwendbaren Python-Modul bündeln.\n- Credential-Zuweisungen, Tokens, private Hosts, Connection Strings und\n  sensitive Header erkennen.\n- Erlaubte Platzhalter explizit allowlisten.\n- Sanitization vor Chunking, Embedding und Browser-Indexierung erzwingen.\n- Private Inventory und sanitized Publishable Corpus getrennt exportieren.\n- Öffentlichen Build bei nicht erlaubten Findings abbrechen.\n- Report nur mit Datei, Zeile, Finding-Typ und Hash erzeugen.\n\n**Akzeptanz:** Secret-Fixture stoppt den Build; veröffentlichte RAG-, HTML-,\nJSON-, JSONL- und Vektorartefakte entstehen nur aus sanitized Text; Heading-\nStruktur und stabile Source-IDs bleiben erhalten.\n\n#### A2 Hard Context Budget\n\n- Ein globales Gesamtbudget für Chunks, Nachbarschaft, Zitate und\n  optionale Auszüge einführen.\n- Vollständige Dokumentübertragung aus dem Standard-Chatpfad entfernen.\n- Bounded Neighborhood Retrieval um relevante Headings verwenden.\n- Payload vor dem Remote-Aufruf validieren und bei Überschreitung hart\n  ablehnen.\n- UI zeigt Quellenanzahl, Zeichenbudget, ausgelassene Chunks und\n  Truncation-Grund.\n\n**Akzeptanz:** Kein Request überschreitet das Budget; leere, große und\nadversariale Dokumente sind getestet; Zitate verweisen nur auf gesendete\nEvidence.\n\n#### A3 Remote Egress Transparency\n\n- Vor Semantic Search und Chat Data-Flow-Hinweis anzeigen.\n- Route, Modellklasse und Payload-Kategorie ausweisen, aber keine Geheimnisse\n  speichern oder anzeigen.\n- Local-only-Modus für lexikalische/lokale Suche ergänzen.\n- Egress-Log mit Counts und Source-IDs, ohne Inhalte, exportierbar machen.\n- Zustimmung oder Local-only-Auswahl vor dem ersten Remote-Aufruf einholen.\n\n**Akzeptanz:** Local-only funktioniert ohne Netzwerk; Remote-Payloads sind\nsanitized und budgetiert; Egress-Log enthält keine Quelltexte.\n\n### Phase B — Trusted Evidence und Reproduzierbarkeit\n\n**Priorität:** P1  \n**Abhängigkeiten:** Phase A\n\n#### B1 Provenance Manifest\n\n- Snapshot-ID aus Capture-Zeitpunkt und Source-/Corpus-Hash ableiten.\n- Pro Quelle normalisierten und sanitizierten Hash speichern.\n- `ARCHIVE-INTELLIGENCE.json`, RAG-Manifest und Packages gegenseitig\n  referenzieren lassen.\n- Generator bei gemischten, fehlenden oder veralteten Inputs abbrechen.\n- Manifest Viewer im Control Room ergänzen.\n\n#### B2 Immutable Snapshot Dates\n\n- `captured_at` für Stack-Snapshots separat speichern.\n- Relative Datumswerte nur beim expliziten Snapshot-Import schätzen.\n- Rohlabel, Snapshot-Zeitpunkt und Schätzregel dokumentieren.\n\n#### B3 Deterministic Incremental Builds\n\n- Hash-basierter Cache und Dependency Map einführen:\n  `source → sanitized source → chunks → embeddings → intelligence → packages`.\n- Gelöschte/umbenannte Quellen aus Derived Records entfernen.\n- Build Report mit `reused`, `rebuilt` und `removed` ausgeben.\n\n**Akzeptanz für Phase B**\n\n- Intelligence und RAG verweigern unterschiedliche Snapshot-IDs.\n- Wiederholte Builds desselben Snapshots liefern identische Schätzungen.\n- Clean Build und Incremental Build sind inhaltlich äquivalent.\n\n### Phase C — Versioned Build Packages\n\n**Priorität:** P1, höchster Produktwert  \n**Abhängigkeiten:** Phase B, Schema-Verträge\n\n#### C1 Build Package Compiler\n\n- Genome-, Fusion- und Mutation-Ergebnisse in ein versioniertes Package\n  kompilieren.\n- JSON-, Markdown- und Agent-Handoff-Ausgaben erzeugen.\n- Jede Requirement benötigt Evidence-ID oder `explicit_assumption`.\n- Nur Variablennamen, niemals Werte, in Environment-Abschnitte aufnehmen.\n- Package-Import, Schema-Validierung und Hash-Prüfung implementieren.\n- Export → Import → Export semantisch stabil machen.\n\n#### C2 Build Package Studio\n\n- Tabs für Evidence, Decisions, Requirements, Risks und Tests.\n- Evidence-Verknüpfung oder explizite Annahme je Requirement.\n- Source Preview mit exakter Heading-Position.\n- Quality Meter für Evidence Coverage, Konflikte, P0-Testabdeckung,\n  Security Gates und Stale Sources.\n- Unaufgelöste P0-Konflikte blockieren `Ready for Build`.\n\n#### C3 Fusion Conflict Matrix\n\n- Konflikte für Framework, Backend, Datenbank, Auth, Deployment, State,\n  Styling, Datenmodell, Produktversprechen, Zielgruppe und Lizenz erfassen.\n- Entscheidungen `prefer A`, `prefer B`, `merge`, `replace`, `unresolved`.\n- Owner, Status, Begründung und Evidence-Link speichern.\n- Entscheidungen in Package und ADR Bundle übernehmen.\n\n**Akzeptanz für Phase C**\n\n- Package ist erneut importierbar und validierbar.\n- Manipulierte Hashes und unbekannte Schema-Versionen werden abgelehnt.\n- Kein erkannter Konflikt verschwindet still.\n\n### Phase D — Acceptance Planner und Validation\n\n**Priorität:** P1  \n**Abhängigkeiten:** Phase C\n\n#### D1 Requirement-to-Test Traceability\n\n- Acceptance Cases als JSON und Markdown exportieren.\n- P0 Requirements mit mindestens einem Test oder genehmigter Ausnahme\n  erzwingen.\n- Traceability Matrix zwischen Requirement, Test, Evidence und Ergebnis\n  erzeugen.\n\n#### D2 Validation Runner\n\n- Check-Klassen integrieren: Syntax, Unit, Integration, Browser DOM,\n  Accessibility, Security, Link Integrity und Workflow Health.\n- Result Bundle mit Exit-Code, Logs, Screenshot-Referenzen und Package-ID\n  erzeugen.\n- Zustände `pass`, `fail`, `blocked`, `not-run` unterscheiden.\n- P0-Gate blockiert Release bei `fail` oder `not-run`.\n\n#### D3 Evidence-grade Readiness\n\n- Grades `documented`, `inferred`, `configured`, `executed`, `verified`,\n  `live` einführen.\n- Heuristische Readiness von ausgeführten Checks getrennt darstellen.\n- UI und JSON-Exporte mit Grade und Evidence-Links erweitern.\n\n**Akzeptanz:** 100 % der P0 Requirements sind testabgedeckt oder ausdrücklich\ngenehmigt; `Tests vorhanden` und `Tests bestanden` erscheinen als getrennte\nMetriken.\n\n### Phase E — RAG Quality Lab und Skalierung\n\n**Priorität:** P1/P2  \n**Abhängigkeiten:** Phase A, B und D\n\n1. 30–50 repräsentative Fragen mit erwarteten Source-IDs, Headings,\n   Negativ-, Ambiguitäts- und Redaction-Cases definieren.\n2. Recall@1/@3/@5, MRR, Citation Validity, Unsupported Claim Rate,\n   Unsafe Answer Rate, Latenz und Payload-Größe messen.\n3. Chunking Workbench für Heading-only, Fixed Size, Overlap und Semantic\n   Section bauen.\n4. Citation Auditor mit Claim-Segmentierung und Zuständen\n   `supported`, `partially supported`, `unsupported`, `citation missing`\n   ergänzen.\n5. Erst nach Baseline-Messung auf Shards, Lazy Loading, Web Worker oder\n   statischen ANN-Index umstellen.\n\n**Akzeptanz:** Jeder Generator-Build erzeugt einen Quality Report;\nRegressionen unter den Baselines blockieren den Release; der Initial Load\nbenötigt nicht die vollständige Vektordatei.\n\n### Phase F — Change Detection und Impact\n\n**Priorität:** P1/P2  \n**Abhängigkeiten:** Phase B, C und D\n\n1. Snapshot Diff für Quellen, Headings, Chunks, Dependencies,\n   Security-Findings, Readiness, Graph und Stack Snapshot.\n2. Alte und neue Evidence-ID pro relevantem Unterschied speichern;\n   Zeitstempeländerungen allein aus dem Inhaltsdiff ausschließen.\n3. Stale Package Gate nur bei Änderungen an zitierten Sources,\n   Dependencies, Decisions oder Gates auslösen.\n4. Impact-Erklärung mit Requirement, Evidence, Risiko und Aktion ausgeben.\n5. Optionen `accept unchanged`, `regenerate section`, `rebuild package`,\n   `archive package` implementieren.\n6. Dependency Blast-to-Action mit verlinkten Projekten, Packages,\n   Migration Checklist und Impact Pack ergänzen.\n\n**Akzeptanz:** Änderungen außerhalb der Package-Evidence machen Packages\nnicht stale; jede Stale-Markierung ist nachvollziehbar.\n\n### Phase G — Graph Intelligence 2.0\n\n**Priorität:** P2  \n**Abhängigkeiten:** Phase B und F\n\n- Project Lineage als Vorschläge mit Signalen, Score und Accept/Reject/Replace.\n- Bestätigte Overrides regenerationsfest speichern.\n- Duplicate-/Component-Mining für Auth, Dashboard, Search, Export und Data\n  Layer mit Reuse/Rewrite/Avoid-Empfehlung.\n- Architecture Pattern Atlas mit Projekten, Stack, Stärken, Risiken und\n  Build Recipes.\n\n**Akzeptanz:** Inferred Lineage wird nie als bestätigte Tatsache dargestellt;\njede Empfehlung nennt Quellen und Konflikte; keine automatische Codeübernahme.\n\n### Phase H — New App Bootstrap\n\n**Priorität:** P2  \n**Abhängigkeiten:** Phase C, D und F\n\n1. Agent-ready Scaffold Manifest aus freigegebenem Package erzeugen.\n2. Dry-run File Plan und Conflict Preview vor jeder Dateierzeugung anzeigen.\n3. Explizite Freigabe für Starter Generator verlangen.\n4. Minimale Projektbasis, Workflow, Baseline Tests und README mit Provenance\n   erzeugen.\n5. Build Progress Import für `implemented`, `tested`, `verified` und\n   `blocked` implementieren.\n\n**Akzeptanz:** Generierte Projekte starten im konfigurierten Workflow,\nBaseline-Acceptance-Cases laufen, Originalarchiv und bestehende Projekte\nbleiben unverändert.\n\n### Phase I — Portfolio, Operations und Collaboration\n\n**Priorität:** P2/P3  \n**Abhängigkeiten:** Phase C, D und F\n\n- Portfolio Command Center für Readiness, Rebuildability, Evidence Grade,\n  Package-Status, Opportunities, Risks und Queues.\n- Opportunity Scoring als sichtbare Heuristik mit Evidence.\n- Archive Ingestion Queue mit Duplicate Detection und Ingestion-Batch-ID.\n- Live Evidence Scheduler erst mit kontrollierter Ausführungsumgebung;\n  private IPs, interne Hosts, Redirects, Größe und Zeit strikt begrenzen.\n- Review/Approval an unveränderliche Package-Versionen binden.\n- Append-only Decision Log mit `supersedes`.\n- Shared Collections servergestützt; `localStorage` niemals als Autorisierung.\n\nDiese Phase wird bewusst zuletzt umgesetzt, weil sie ohne stabile Package-,\nValidation- und Provenance-Verträge falsche Sicherheit erzeugen würde.\n\n## 5. Refactoring-Strategie\n\nDie Generator-Modularisierung erfolgt nach Phase B und parallel zum Beginn\nvon Phase C, nicht davor:\n\n```text\ntools/archive_intelligence/\n  models.py\n  sources.py\n  sanitization.py\n  provenance.py\n  scoring.py\n  graph.py\n  stack_audit.py\n  build_packages.py\n  templates/\n    common.css\n    common.js\n    project-genome.html\n    build-factory.html\n    stack-gap-audit.html\n```\n\nVorgehen:\n\n1. Bestehende Ausgabe als Golden Snapshot sichern.\n2. Pure Datenlogik aus `build_archive_intelligence.py` extrahieren.\n3. Sanitization, Provenance und Package-Modelle als eigenständige Module\n   testen.\n4. HTML-Templates erst danach auslagern.\n5. Generator-Ausgabe byte- oder semantisch gegen den Golden Snapshot prüfen.\n6. Jede extrahierte Seite über einen klaren Einstiegspunkt erzeugen.\n\n## 6. Durchgängige Verifikation\n\nJede Phase muss mindestens diese Prüfungen aktualisieren:\n\n- Python-Syntax und Contract Tests\n- JSON-/JSONL-Schema-Validierung\n- stabile und eindeutige IDs\n- `git diff --check`\n- HTML-JavaScript-Syntax\n- statische Linkintegrität\n- Browser-DOM-Smoke für neue Oberflächen\n- Download-/Import-/Export-Roundtrip\n- Security- und Sanitization-Fixtures\n- Workflow- und Performance-Budgets\n\nDie bestehende `tools/smoke_ui_artifacts.py` wird als Browser-Smoke-Baseline\nbeibehalten und pro neuer Oberfläche erweitert. Ein erfolgreicher Smoke-Test\nbelegt nur die getestete UI-/Datenintegration, nicht automatisch Live-,\nBuild- oder Deployment-Erfolg.\n\n## 7. Empfohlene erste Umsetzungseinheit\n\nDer erste tatsächliche Implementierungs-Slice sollte klein, aber vertikal\nvollständig sein:\n\n1. Contract-/Secret-Fixtures und `schema_version`-Konstanten.\n2. Sanitized Corpus Compiler für eine Quelle.\n3. RAG-Index aus sanitized Text erzeugen.\n4. Ein gemeinsames Provenance Manifest erzeugen.\n5. Hard Context Budget in den Grounded-Chat einbauen.\n6. Security Gate und Context-Budget-Tests ausführen.\n7. Control Room um Snapshot-ID, Sanitization-Status und Budgetstatus ergänzen.\n\nErst wenn dieser Slice grün ist, werden weitere Quellen, Build Packages und\nneue UI-Flächen darauf aufgebaut. So wird verhindert, dass unsanitized\nBestandsartefakte oder zeitlich gemischte Intelligence-Daten zur Grundlage\nder nächsten Ausbaustufen werden.\n\n## 8. Definition of Done für das Gesamtziel\n\nDie Factory gilt als durchgängig umgesetzt, wenn:\n\n- ein versionierter Snapshot importiert wird,\n- alle öffentlichen Artefakte vor Erzeugung sanitisiert werden,\n- RAG, Graph und Intelligence dieselbe Snapshot-ID referenzieren,\n- Genome/Fusion und Konfliktentscheidungen in ein Package einfließen,\n- jede P0 Requirement ein Acceptance Case und Evidence besitzt,\n- daraus ein agent-ready Scaffold Manifest entsteht,\n- ein neues Projekt reproduzierbar gestartet werden kann,\n- Validation Result Bundles in die Readiness zurückfließen,\n- neue Snapshots betroffene Packages nachvollziehbar stale markieren,\n- Rebuild, Migration, Approval und Archivierung bewusst ausgewählt werden\n  können.",
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            "overview": "# DOMVS AVREA — Prompt Libraries Direkter Root-Einstieg in die flach abgelegten Prompt- und Discovery-Listen. ## Prompt-Bibliotheken - [100 Database App Prompts](100-database.md) — Batch 7, Prompts `#601–#700` - [Archive-Tool-Promptliste](100-database.md#appendix-archive-tool-promptliste) — Public Release Gate, Snapshot Diff, Compare, RAG Evaluation und Unified Workbench - [DVAG Prompt Library](dvag-100-prompts.md) — DVAG-/Finanz- und Beratungs-Prompts - [DVAG Batch Alias](dvag-100.md) — bestehender flacher Alias derselben DVAG-Promptquelle - [Stack Prompt Library](stack-100-prompts.md) — Stack-, Produkt- und Build-Prompts - [School Prompt Library](school-100.md) — Lern-, Schul- und Prüfungsvorbereitungs-Prompts ## Weitere flache Root-Quellen - [Curated Replit Stack](replit-stack-komplett-kuratiert.txt) - [Complete Replit Stack](replit-stack-komplett.txt) - [HTML Stack Snapshot](n",
            "content": "# DOMVS AVREA — Prompt Libraries\n\nDirekter Root-Einstieg in die flach abgelegten Prompt- und Discovery-Listen.\n\n## Prompt-Bibliotheken\n\n- [100 Database App Prompts](100-database.md) — Batch 7, Prompts `#601–#700`\n  - [Archive-Tool-Promptliste](100-database.md#appendix-archive-tool-promptliste) — Public Release Gate, Snapshot Diff, Compare, RAG Evaluation und Unified Workbench\n- [DVAG Prompt Library](dvag-100-prompts.md) — DVAG-/Finanz- und Beratungs-Prompts\n- [DVAG Batch Alias](dvag-100.md) — bestehender flacher Alias derselben DVAG-Promptquelle\n- [Stack Prompt Library](stack-100-prompts.md) — Stack-, Produkt- und Build-Prompts\n- [School Prompt Library](school-100.md) — Lern-, Schul- und Prüfungsvorbereitungs-Prompts\n\n## Weitere flache Root-Quellen\n\n- [Curated Replit Stack](replit-stack-komplett-kuratiert.txt)\n- [Complete Replit Stack](replit-stack-komplett.txt)\n- [HTML Stack Snapshot](new-html-stack.json)\n- [Ebook Index](ebooks.100.md)\n\n## Provenance-Hinweis\n\nPrompt-Bibliotheken und Stack-Kataloge sind Discovery- und Ideationsquellen. Sie sind nicht automatisch lokale Projekt-Evidence und werden im Atlas, RAG und Catalog Explorer entsprechend getrennt ausgewiesen.\n\n[Zurück zum MD Atlas](0-REPLIT-MD-EXPORT/) · [Archive Control Room](ARCHIVE-TOOLS/) · [Vector Lab](RAG-EXPORT/RAG-VECTOR-LAB.html)",
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            "overview": "--- project: 100-dvag-complex-html5-app-prompts category: Prompt-Bibliothek cluster: DVAG / Finanzberatung tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, dvag, finance, insurance, crm, tax, retirement] --- # 100 DVAG Komplexe HTML5 App-Prompts ## Overview Batch-1-Prompt-Bibliothek für die KI-gestützte Massen-Generierung komplexer, frontend-only HTML5-Apps im DVAG-Berater-Umfeld: Finanzplanung, Investment, Versicherung, Immobilien, Berater-CRM, Steuer/Recht, Altersvorsorge, Konzern-Dashboards, Kunden-Self-Service und Training. 10 Kategorien à 10 Prompts, jeder Prompt production-ready formuliert (App-Name, Tech-Stack, Feature-Liste, Use-Case). ## Ziel-Komplexität - 150+ KB Dateig",
            "content": "---\nproject: 100-dvag-complex-html5-app-prompts\ncategory: Prompt-Bibliothek\ncluster: DVAG / Finanzberatung\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, dvag, finance, insurance, crm, tax, retirement]\n---\n\n# 100 DVAG Komplexe HTML5 App-Prompts\n\n## Overview\nBatch-1-Prompt-Bibliothek für die KI-gestützte Massen-Generierung komplexer, frontend-only HTML5-Apps im DVAG-Berater-Umfeld: Finanzplanung, Investment, Versicherung, Immobilien, Berater-CRM, Steuer/Recht, Altersvorsorge, Konzern-Dashboards, Kunden-Self-Service und Training. 10 Kategorien à 10 Prompts, jeder Prompt production-ready formuliert (App-Name, Tech-Stack, Feature-Liste, Use-Case).\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße\n- 2500+ Zeilen Code\n- 250+ Components\n- 8+ GSAP-Animationen\n- Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts + D3.js + GSAP + LocalStorage/IndexedDB\n\n## Kategorie 1: FINANZPLANUNG & BERATUNGSTOOLS\n\n1. **#1** — erstelle ein DVAG Kundenfinanzplanungs-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 360° Finanzübersicht mit Einnahmen/Ausgaben Sankey Diagram (D3.js), Vermögensaufbau Timeline 30 Jahre (ApexCharts Area Chart), Cashflow-Waterfall Monatlich (ApexCharts Waterfall), Schuldenabbau-Simulator mit Snowball vs Avalanche Vergleich, Notgroschen-Rechner 3-6 Monate Expenses, Asset Allocation Pie Chart mit Rebalancing Alerts, Steuerbelastung Visualizer progressive Steuersätze, Sparziel-Tracker mit Meilenstein-Badges, PDF-Export Finanzplan DVAG-Branding, Offline-Modus IndexedDB, Dark Mode, GSAP Page Transitions, Mobile Touch Gestures - USE CASE: DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus\n\n2. **#2** — entwickle einen DVAG Haushaltsbudget-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budget-Kategorien Manager (Housing, Transport, Food, Insurance, Entertainment etc.), Ausgaben-Tracking mit Chart.js Donut Charts, 50/30/20 Rule Visualizer (Needs/Wants/Savings), Trendanalyse Monatlich/Jährlich (ApexCharts Line Charts), Budgetüberschreitungs-Alerts mit Push Notifications API, Vergleich zu Durchschnitt nach Haushaltsgröße und Region, Variable vs Fixed Expenses Breakdown, Saisonale Ausgaben-Muster Heatmap (D3.js), Einsparungspotenzial-Finder AI-basiert, CSV Import/Export, GSAP Animations, Responsive Mobile-First - USE CASE: Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights\n\n3. **#3** — programmiere ein DVAG Einkommensströme-Visualizer Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multiple Income Streams Tracker (W2, Freelance, Dividends, Rental, Business), Income Diversification Score Calculator, Passive vs Active Income Ratio (ApexCharts Radial Bar), Income Growth Projection 10 Jahre (D3.js Multi-Line Chart), Einkommensstabilität-Analyse Volatility Index, Tax Impact Calculator per Income Stream, Side Hustle ROI Analyzer, Income Funnel Visualizer (D3.js Sankey), Monatliche Income Distribution Heatmap, Jahresvergleich Income Mix, GSAP Counter Animations, PWA Offline Support - USE CASE: Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency\n\n4. **#4** — baue ein DVAG Lebensstandard-Planer Retirement - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Retirement Lifestyle Calculator, Inflationsanpassung 2-3% jährlich automatisch, Healthcare Cost Projector im Alter, Travel & Leisure Budget Planner, Housing Downsizing Calculator, Longevity Risk Analyzer bis 100 Jahre, Social Security Timing Optimizer (früh vs spät), Renten-Lücken-Rechner mit Visualization (ApexCharts Gap Chart), Lifestyle Inflation Tracker, Bucket Strategy Planner (Short/Mid/Long Term), Geographic Arbitrage Calculator Umzug Low-Cost Areas, GSAP Timeline Scroll Animations - USE CASE: Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken\n\n5. **#5** — erstelle einen DVAG Familien-Finanzplaner Multi-Generation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Family Tree Visualizer mit Finanzzielen (D3.js Hierarchical Layout), Bildungsfinanzierung-Calculator pro Kind (College/Uni Costs), Generational Wealth Transfer Simulator, Erbschaftssteuer-Optimierer, Life Insurance Needs Calculator ganze Familie, Notfallplan Financial Emergency Kit, Income Loss Protection Analysis, Family Budget Consolidator alle Haushaltsmitgliber, Kids Financial Education Tracker Taschengeld & Sparen, Großeltern zu Enkel Transfer 529 Plans, GSAP Family Tree Animations, Collaborative Editing Multi-User - USE CASE: Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert\n\n6. **#6** — entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Nettovermögen-Tracker Assets minus Liabilities (ApexCharts Gauge), Asset Breakdown Real Estate/Stocks/Bonds/Cash/Crypto/Business (D3.js Treemap), Liability Details Mortgages/Student Loans/Credit Cards/Car Loans, Net Worth Timeline Historisch & Projektiert (ApexCharts Combo Chart), Debt-to-Asset Ratio Calculator, Liquidity Ratio Analyzer, Vermögensstruktur nach Risiko Low/Medium/High, Rebalancing Recommendations, Tax-Loss Harvesting Opportunities, Estate Value for Inheritance Planning, GSAP Number Counter Animations, Auto-Refresh Dashboard - USE CASE: Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit\n\n7. **#7** — programmiere einen DVAG Notfall-Finanzplan Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Emergency Fund Size Calculator 3-6-12 Monate, Job Loss Income Replacement Simulator, Medical Emergency Cost Estimator, Home Repair Emergency Fund, Auto Breakdown Reserve, Legal Emergency Fund, Income Continuity Plan bei Ausfall, Expense Cutting Roadmap Prioritized (D3.js Flow Diagram), Insurance Coverage Gap Analysis, Quick Access Liquidity Checker, Emergency Contact Financial Info Vault, Scenario Planner What-If Analysis, GSAP Alert Animations, Print Emergency Plan PDF - USE CASE: Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan\n\n8. **#8** — baue ein DVAG Finanzielle-Freiheit-Roadmap Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FI Number Calculator 25x Annual Expenses, Current vs Target Networth Gap (ApexCharts Progress Bar), Savings Rate Optimizer 10% bis 70%, Years to FI Calculator mit Compound Interest, Coast FI Calculator wann genug investiert, Barista FI Teil-Retirement Planner, Lean vs Fat FI Lifestyle Chooser, Geographic Arbitrage Impact, Side Hustle Addition Impact, Investment Return Scenarios 5%/7%/10% (D3.js Monte Carlo), Withdrawal Strategy 4% Rule vs Variable, Sequence of Returns Risk Visualizer, GSAP Milestone Animations - USE CASE: Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien\n\n9. **#9** — erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lifetime Earnings Calculator Start bis Rente, Gehaltserhöhungs-Projektion 3-5% jährlich, Career Path Comparator Angestellt vs Selbständig vs Beamter, Bildungsinvestition ROI Calculator Master/PhD vs Direkt arbeiten, Job-Wechsel Timing Optimizer maximale Earnings, Branchenwechsel Financial Impact, Geographic Location Salary Adjuster, Remote Work Income Opportunities, Skill Premium Calculator zusätzliche Qualifikationen, Promotion Impact Visualizer, Gender Pay Gap Analyzer, Career Plateau Identifier, GSAP Career Timeline Animations - USE CASE: Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings\n\n10. **#10** — entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multi-Goal Tracker (Notfonds, Altersvorsorge, Eigenheim, Auto, Urlaub, Bildung), Goal Priority Ranker Eisenhower Matrix (D3.js Scatter Plot), Progress Bars mit Milestone Badges, Savings Velocity Meter wie schnell zum Ziel (ApexCharts Speedometer), Goal Interdependency Visualizer (D3.js Network Graph), Motivation Boosters Achievement System, Social Sharing Progress optional, Automatic Savings Allocator zu Goals, Goal Conflict Resolver bei Budget-Limits, Celebration Animations GSAP bei erreichten Meilensteinen, Timeline View alle Goals (D3.js Gantt), Retrospective Goal Analysis was funktioniert - USE CASE: Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking\n\n## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS\n\n11. **#11** — erstelle ein DVAG Portfolio-Analyzer Advanced Professional - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Portfolio Holdings Table sortable/filterable, Asset Allocation Donut Chart Aktien/Anleihen/Immobilien/Cash/Alternative (ApexCharts), Sector Allocation Breakdown (D3.js Treemap), Geographic Diversification World Map (D3.js Geo), Performance Attribution Analysis, Risk Metrics Volatility/Sharpe/Sortino/Max Drawdown, Correlation Matrix Heatmap Assets (D3.js), Rebalancing Calculator mit Band-Width 5%, Tax-Aware Rebalancing, Portfolio Overlap Detector bei mehreren Depots, Factor Exposure Value/Growth/Momentum, Benchmark Comparison S&P500/MSCI World, GSAP Chart Transitions - USE CASE: Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap\n\n12. **#12** — entwickle einen DVAG ETF-Sparplan-Optimizer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Selektor nach Kriterien TER/Tracking Difference/Volumen/Replizierung, Core-Satellite Strategie Builder 70/30 bis 90/10, Sparrate-Calculator monatlich/quartalsweise, Compound Interest Simulator 30 Jahre (ApexCharts Area Chart), Rebalancing Frequency Optimizer jährlich vs quartalsweise, Tax-Optimized ETF Selection Thesaurierend vs Ausschüttend Deutschland, Ausschüttungsrendite-Tracker, Cost Comparison Broker-Gebühren TER Impact, Index-Wahl MSCI World vs FTSE All-World vs S&P500, Small Cap Value Tilt Calculator, Emerging Markets Allocation, Dividend ETF vs Growth ETF Comparison, GSAP Scroll Animations - USE CASE: Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau\n\n13. **#13** — programmiere ein DVAG Dividenden-Portfolio-Builder Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dividend Aristocrats Screener 25+ Jahre Erhöhungen, Dividend Yield vs Growth Matrix (D3.js Scatter Plot), Payout Ratio Safety Analyzer, Dividend Growth Rate Calculator CAGR, Forward Dividend Income Projector 10 Jahre (ApexCharts), Dividend Calendar Zahlungstermine (D3.js Timeline), DRIP Reinvestment Impact Calculator, Sector Diversification Dividends, International Dividend Stocks Withholding Tax, Dividend Tax Treatment Deutschland Teilfreistellung, Dividend Safety Score Composite, Yield on Cost Tracker, Monthly Dividend Income Builder, GSAP Dividend Payment Animations - USE CASE: Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus\n\n14. **#14** — baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Crypto Holdings Tracker BTC/ETH/Altcoins mit Live-Preisen Mock-API, Portfolio Allocation Pie Chart (ApexCharts), Volatility Tracker 30-Day Rolling (ApexCharts Candlestick), Crypto Correlation Matrix (D3.js Heatmap), Bitcoin Dominance Indicator, DCA Dollar-Cost-Averaging Calculator, Tax-Loss Harvesting Crypto Deutschland, Cold Wallet Allocation Empfehlung, Crypto Risk Score Volatility-Based, Altcoin Exposure Warnings, Stablecoin Reserve Optimizer, Crypto Fear & Greed Index Display, Blockchain Transaction Visualizer (D3.js Network), GSAP Price Change Animations - USE CASE: Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization\n\n15. **#15** — erstelle einen DVAG Anleihen-Portfolio-Manager Professional - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bond Ladder Visualizer 1-30 Jahre Laufzeiten (D3.js Gantt), Yield-to-Maturity Calculator, Duration & Convexity Analyzer, Interest Rate Risk Simulator Rising/Falling Rates, Credit Rating Breakdown AAA bis Junk (ApexCharts Stacked Bar), Municipal Bonds Tax-Equivalent Yield, Corporate Bonds vs Government Bonds Spread, Inflation-Protected TIPS Calculator, Callable Bonds Risk Analyzer, Bond Allocation nach Alter Glide Path, Coupon Payment Calendar, Bond Fund vs Individual Bonds Comparison, GSAP Bond Maturity Animations - USE CASE: Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield\n\n16. **#16** — entwickle ein DVAG Alternative-Investments-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alternative Assets Tracker Gold/Commodities/Art/Wine/Collectibles, Real Estate Crowdfunding Portfolio, Private Equity Holdings, Peer-to-Peer Lending Returns, Correlation zu Traditional Assets (D3.js Heatmap), Liquidity Risk Analyzer Lock-Up Periods, Alternative Investment Allocation 5-20% Portfolio, Inflation Hedge Calculator Gold/Commodities, Vintage Performance Tracker Wine Investment, NFT Portfolio Tracker optional, Hedge Fund Allocation, Venture Capital Exposure, GSAP Alternative Asset Animations - USE CASE: Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio\n\n17. **#17** — programmiere einen DVAG Faktor-Investing-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Factor Exposure Analyzer Value/Growth/Momentum/Quality/Low Volatility/Size, Faktor-Prämien Historical Returns (ApexCharts Multi-Line), Portfolio Factor Loading (D3.js Radar Chart), Factor Timing Indicators, Multi-Factor Portfolio Builder, Factor Correlation Matrix, Smart Beta ETF Selector, Factor Concentration Risk, Value Spread Indicator günstig vs teuer, Momentum Ranking System, Quality Score Composite, Size Premium Small vs Large Cap, GSAP Factor Visualization Animations - USE CASE: Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns\n\n18. **#18** — baue ein DVAG Rebalancing-Planner mit Tax-Optimization - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Target Allocation Comparison (ApexCharts Radar), Drift Analyzer wie weit von Target (D3.js Bar Chart Deviation), Rebalancing Trade Calculator minimale Trades, Tax-Lot Optimizer Highest Cost Basis zuerst, Wash Sale Rule Checker, Capital Gains Impact Estimator Short vs Long-Term, Rebalancing Frequency Optimizer, Threshold-Based Rebalancing 5%/10%/20% Bands, Cash Flow Rebalancing mit neuen Beiträgen, Asset Location Optimizer Taxable vs Tax-Deferred, Transaction Cost Minimizer, Rebalancing History Tracker, GSAP Trade Animations - USE CASE: Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing\n\n19. **#19** — erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: DCA vs Lump Sum Comparison Historisch (ApexCharts Line Chart), Monte Carlo Simulation 1000 Runs (D3.js Distribution), Volatility Impact auf DCA, DCA Schedule Optimizer monatlich/wöchentlich/täglich, Market Timing Failure Visualizer, Bear Market DCA Advantage, Psychological Benefit Score DCA, Automated Investment Plan Builder, Cost Basis Tracking, DCA Performance verschiedene Assets, Scenario Planner Bull/Bear/Sideways Market, Historical Backtest S&P500 40 Jahre, GSAP DCA Purchase Animations - USE CASE: Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren\n\n20. **#20** — entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historical Factor Performance 1930-2024 (ApexCharts Multi-Line), Value Premium Tracker HML High-Minus-Low, Size Premium SMB Small-Minus-Big, Momentum Premium UMD Up-Minus-Down, Quality Premium RMW Robust-Minus-Weak, Factor Drawdown Analysis, Factor Cyclicality Bull vs Bear Markets, Multi-Factor Portfolio Backtester, Sharpe Ratio Comparison Factors, Factor Regression Analyzer, Long Dry Spells Identifier Value Lost Decade, Factor Diversification Benefit, GSAP Historical Chart Animations - USE CASE: Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data\n\n## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE\n\n21. **#21** — erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Human Life Value Calculator Einkommen kapitalisiert, DIME Method Debt/Income/Mortgage/Education, Needs-Based Analysis Family Income Replacement, Term Life vs Whole Life Comparison (ApexCharts Bar Chart), Laddering Strategy Visualizer 10/20/30 Jahre (D3.js Timeline), Premium Calculator Alter/Gesundheit/Betrag, Benefit Calculator Todesfall-Summe, Mortgage Protection Analyzer, Children Education Fund Bedarf, Final Expenses Bestattung, Income Replacement Duration bis Rente, Inflation Adjuster Kaufkraft, Coverage Gap Identifier Unterversicherung, GSAP Insurance Needs Animations - USE CASE: Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance\n\n22. **#22** — entwickle einen DVAG Berufsunfähigkeits-Rechner Professional - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: BU-Renten-Bedarf Calculator 60-80% Nettoeinkommen, Versorgungslücken-Analyse gesetzlich vs privat, Berufsgruppen-Risiko-Bewertung (D3.js Risk Matrix), Leistungsdauer bis 67 Jahre, Dynamik-Option Inflation Protection, Prämien-Vergleich mit/ohne Dynamik (ApexCharts), Abstract vs Konkrete Verweisung Impact, Gesundheitsfragen-Simulator, Ausschlüsse & Einschränkungen Visualizer, Wartezeit & Karenzzeit Erklärer, BU-Rente steuerliche Behandlung, Nachversicherungsgarantie Wert-Rechner, GSAP Risk Animations - USE CASE: Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung\n\n23. **#23** — programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: PKV vs GKV Lifetime Cost Comparison (ApexCharts Line Chart), Einkommensschwelle Wechsel PKV 66.600€, Familienplanung Impact Kinder GKV kostenlos, Selbstbehalt-Optimizer 300€ bis 2000€, Beitragsrückerstattung Calculator, Altersrückstellungen PKV Visualizer, Beitragsentwicklung Prognose 40 Jahre, Leistungsvergleich Einzelzimmer/Chefarzt, Zusatzversicherungen Bedarf Zahn/Brille/Heilpraktiker, Auslandsreise-Krankenversicherung, Pflegepflichtversicherung, Wechsel-Szenarien zurück in GKV, GSAP Comparison Animations - USE CASE: Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung\n\n24. **#24** — baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassische Rentenversicherung vs Fondsgebundene Comparison, Garantiezins Impact 0.25% aktuell, Überschussbeteiligung Historical, Fondspolice Performance-Szenarien 4%/6%/8% (ApexCharts), Kosten-Transparenz Effektivkosten, Ablaufleistung Calculator, Lebenslange Rente vs Kapital-Option, Dynamik-Option bei Rentenpolicen, Hinterbliebenenschutz Rentengarantiezeit, Berufsunfähigkeits-Zusatzversicherung in Police, Steuerliche Behandlung Ertragsanteil, Riester/Rürup Integration möglich, GSAP Renten-Animations - USE CASE: Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz\n\n25. **#25** — erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rechtsschutz-Bereiche Checker Privat/Beruf/Verkehr/Wohnen/Steuer, Risiko-Assessment nach Lebenssituation (D3.js Risk Matrix), Selbstbeteiligung-Optimizer 150€ bis 500€, Deckungssummen-Empfehlung, Wartezeit-Erklärer 3 Monate, Leistungsausschlüsse Visualizer, Mediation-Option, Strafrechtsschutz Verkehr, Arbeitsrechtsschutz Kündigung, Mietrechtsschutz Vermieter/Mieter, Steuerrechtsschutz Finanzamt, Familienrechtsschutz, GSAP Rechtsbereich Animations - USE CASE: Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang\n\n26. **#26** — entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Hausrat-Wert-Ermittlung Pauschal 650€/m², Einzelbewertung Möbel/Elektronik/Schmuck/Kunst, Unterversicherung-Risiko Visualizer (ApexCharts Gauge), Versicherungssummen-Empfehlung, Wertsachen-Grenze 20% Standard, Fahrrad-Diebstahl Nachts draußen, Elementarschaden-Zusatz Hochwasser/Starkregen, Glasbruch-Versicherung, Grobe Fahrlässigkeit Mitversichert, Neuwert vs Zeitwert Erstattung, Hausrat im Ausland Urlaub, Prämien-Vergleich verschiedene Summen, GSAP Value Counter Animations - USE CASE: Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme\n\n27. **#27** — programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadenfreiheitsklasse-Tracker SF 0 bis SF 35, Selbstbeteiligung-Optimizer Vollkasko/Teilkasko (ApexCharts Break-Even), Rabatt-Maximizer Garage/Wenigfahrer/Partner, Schadenfreiheitsrabatt-Retter bei Schaden, Typklasse & Regionalklasse Info, Neuwert-Entschädigung GAP-Versicherung, Werkstattbindung Rabatt vs Flexibilität, Mallorca-Police Ausland, Fahrerschutz-Versicherung, Telematik-Tarife Score-Based, Versicherungswechsel-Timing Stichtag 30.11., Prämien-Entwicklung Projection (D3.js), GSAP Car Animations - USE CASE: Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl\n\n28. **#28** — baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflegegrad-Erklärer 1 bis 5, Pflegekosten-Rechner Heim vs Ambulant (ApexCharts Stacked Bar), Pflegelücke gesetzlich vs privat, Tagegeld-Bedarfsermittlung, Pflege-Bahr geförderte Versicherung, Dynamik-Option Leistungsanpassung, Wartezeit 5 Jahre Standard, Leistung bei Demenz, Assistance-Leistungen Organisation, Einmalzahlung bei Pflegefall, Pflege-Rente lebenslang, Angehörigen-Pflege Unterstützung, GSAP Pflege-Level Animations - USE CASE: Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt\n\n29. **#29** — erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Laddering Strategy Builder 3-5 Policen (D3.js Timeline), Bedarf-Reduktion über Zeit Hypothek abbezahlt/Kinder erwachsen, Premium-Optimizer gestaffelte Laufzeiten billiger, Coverage Amount pro Stufe Calculator, Term Length Optimizer 10/15/20/25/30 Jahre, Gesamt-Prämie Laddering vs Single Policy (ApexCharts), Return of Premium Option Kosten, Convertibility Option zu Whole Life, Contestability Period 2 Jahre, Suicide Clause, Medical Exam vs No-Exam Policies, Laddering Visualization interactive (D3.js), GSAP Ladder Animations - USE CASE: Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung\n\n30. **#30** — entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Versicherungen Übersicht Leben/BU/Kranken/Haftpflicht/Hausrat/Kfz/Rechtsschutz, Prämien-Summe monatlich/jährlich (ApexCharts Pie Chart Anteil), Coverage Gaps Identifier Unterversicherung, Overlap Detector Doppelversicherung, Versicherungs-Optimierungspotenzial, Policen-Ablauf Kalender wichtige Termine, Schadenfall-Melde-Assistent, Vertrags-Dokumente Vault, Beneficiary Management Begünstigte, Insurance Score Gesamtbewertung, Cost-Benefit Ratio Calculator, Versicherungs-Checkliste Lebensphase, GSAP Portfolio Animations - USE CASE: Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten\n\n## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG\n\n31. **#31** — erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Annuitäten-Darlehen Calculator Zinssatz/Tilgung/Laufzeit, Tilgungsplan-Visualizer 30 Jahre Monat für Monat (D3.js), Forward-Darlehen Planer Zinsbindung 5/10/15/20 Jahre, Sondertilgungs-Impact Simulator jährlich 5%, Anschlussfinanzierungs-Rechner nach Zinsbindung, Eigenkapital-Optimizer 10% bis 30%, Nebenkosten-Rechner Notar/Grunderwerbsteuer/Makler, Haushaltsrechnung Belastungsgrenze 40% Netto, Förderkredit KfW-Darlehen Integration, Kaufpreis vs Miete Comparison 30 Jahre (ApexCharts), Wertsteigerung Immobilie Projection, GSAP Loan Amortization Animations - USE CASE: Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent\n\n32. **#32** — entwickle einen DVAG Mietrendite-Calculator Buy-to-Let - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Mietrendite Calculator Jahresnettokaltmiete/Kaufpreis, Netto-Mietrendite nach Kosten Hausgeld/Instandhaltung/Verwaltung, Eigenkapitalrendite mit Fremdfinanzierung Leverage, Cashflow-Rechner monatlich (ApexCharts Waterfall), Cap Rate Calculator, Cash-on-Cash Return, Loan-to-Value Ratio, Vacancy Rate Impact 5-10%, Property Management Kosten, Maintenance Reserve 1% Kaufpreis jährlich, Property Tax Grundsteuer, Rental Income Growth 2% jährlich, GSAP Rendite Animations - USE CASE: Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten\n\n33. **#33** — programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichswertverfahren Rechner ähnliche Objekte, Ertragswertverfahren Vermietete Objekte Kapitalisierung, Sachwertverfahren Substanzwert, Lage-Bewertungs-Matrix Mikro/Makro-Lage (D3.js Heatmap), Ausstattungs-Score Standard/Gehoben/Luxus, Zustand-Bewertung Modernisierungsbedarf, Grundstücks-Bewertung Bodenrichtwert, Marktwert-Ermittlung nach WertV, Verkehrswert-Gutachten Simulator, Wertsteigerungspotenzial Prognose, Objektvergleich Side-by-Side bis 5 Immobilien, GSAP Valuation Animations - USE CASE: Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert\n\n34. **#34** — baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zinsbindungs-Strategie Chooser 5/10/15/20/25/30 Jahre, Variable vs Fixed Rate Comparison, Split-Strategie 50% fix + 50% variabel, Forward-Darlehen Timing Optimizer, Zinsentwicklungs-Szenarien steigend/fallend/konstant (ApexCharts), Restschuld-Entwicklung verschiedene Strategien (D3.js Multi-Line), Sondertilgungs-Rechte 5-10% jährlich, Volltilger-Darlehen Laufzeit-Reduktion, KfW-Förderkredite kombinieren, Bereitstellungszins-Vermeidung, Vorfälligkeitsentschädigung Calculator bei Kündigung, GSAP Strategy Comparison Animations - USE CASE: Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz\n\n35. **#35** — erstelle ein DVAG Immobilien-Investment-Analyzer ROI - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: ROI Calculator Return on Investment Total, IRR Internal Rate of Return Calculation, NPV Net Present Value Discounted Cashflows, Payback Period Calculator, Equity Multiple Rechner, Total Return inkl. Wertsteigerung + Cashflow (ApexCharts), Tax Benefits Abschreibung AfA 2-3% jährlich, Leverage Impact 80% Fremdfinanzierung, Exit Strategy Analyzer Verkauf nach 10/15/20 Jahren, Market Appreciation verschiedene Szenarien 2-5%, Inflation Impact Real Returns, Opportunity Cost vs Aktien ETF Comparison, GSAP ROI Animations - USE CASE: Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits\n\n36. **#36** — entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kaufen vs Mieten 30-Jahre-Vergleich Total Cost (ApexCharts Line Chart), Opportunity Cost Calculator Eigenkapital in ETF investiert, Maintenance Cost Eigenheim 1% jährlich, Property Tax vs keine bei Miete, Transaction Costs Kauf/Verkauf Notar/Makler, Mobility Flexibility Score Miete höher, Forced Savings Eigenheim, Leverage Benefit Eigenkapital-Rendite, Home Equity Build-up (D3.js Area Chart), Rent vs Buy Break-Even Point, Market Scenarios Immobilienpreise steigen/fallen, Emotional Benefits Eigenheim, GSAP Comparison Animations - USE CASE: Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete\n\n37. **#37** — programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundstückskosten Budget, Baukosten Quadratmeterpreis 1500-3000€, Baunebenkosten 15-20% Architekt/Statiker/Bauantrag, Außenanlagen Garten/Einfahrt/Zaun, Eigenleistung-Kalkulator Muskelhypothek, Kostenpuffer 10-15% Unvorhergesehenes, Finanzierungskosten während Bauphase Bereitstellungszins, Förderung KfW 40/40+ Zuschüsse, Bauzeit-Planer Monate bis Fertigstellung (D3.js Gantt Chart), Zahlungsplan nach Baufortschritt, Abnahme-Kosten Gutachter, Innenausstattung Küche/Bäder, GSAP Budget Build-up Animations - USE CASE: Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung\n\n38. **#38** — baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Property Dashboard alle Immobilien (D3.js Map Locations), Portfolio Performance ROI/Cashflow gesamt, Loan-to-Value Ratio Portfolio, Diversifikation Score Geographic/Property Type, Total Equity Build-up alle Properties, Vacancy Rates Tracking, Maintenance Issues Tracker, Tenant Management pro Property, Rental Income Streams (ApexCharts Stacked Area), Property Appreciation Timeline, Debt Service Coverage Ratio, Portfolio Rebalancing Recommendations Verkauf/Kauf, GSAP Multi-Property Animations - USE CASE: Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral\n\n39. **#39** — erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Renovierungs-Maßnahmen ROI Küche/Bad/Dach/Fenster/Heizung, Cost vs Value Report verschiedene Projekte (ApexCharts Bar Chart), Wertsteigerung Percentage pro Maßnahme, Energy Efficiency Upgrades KfW-Förderung, Curb Appeal Projects Vorgarten/Fassade, Kitchen Remodel ROI 60-80%, Bathroom Remodel ROI 50-70%, Roof Replacement ROI, HVAC System Upgrade, Window Replacement Energy Savings, Prioritization Matrix Impact vs Cost (D3.js Scatter), Financing Options Modernisierungskredit, GSAP Renovation Animations - USE CASE: Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI\n\n40. **#40** — entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Refinancing Calculator neuer Zins vs aktuell, Break-Even Point Refinanzierung-Kosten vs Savings (ApexCharts), Vorfälligkeitsentschädigung Calculator bei vorzeitiger Ablösung, Cash-Out Refinancing Option Equity herausnehmen, Rate-and-Term Refinancing, Interest-Only to Principal-Interest Switch, ARM to Fixed Rate Conversion, Loan Term Reduction 30 zu 15 Jahre, Closing Costs Estimate Notar/Grundbuch, Monthly Payment Reduction (D3.js Comparison), Lifetime Interest Savings, Market Timing Zinsentwicklung, GSAP Refinancing Animations - USE CASE: Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung\n\n## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM\n\n41. **#41** — erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kunden-Datenbank sortable/filterable/searchable, Contact Management Telefon/Email/Adresse, Kundenlebenszyklus-Status Interessent/Neukunde/Bestandskunde/Inaktiv (D3.js Funnel), Produktbesitz-Matrix Kunde x Produkte, Cross-Sell Opportunities Identifier, Nächste Kontakt-Termine Kalender, Geburtstags-Reminder, Vertragsablauf-Alerts, Notes & Communication History, Customer Lifetime Value Berechnung, Kundensegmentierung ABC-Analyse, Referral Tracking Empfehlungen, GSAP CRM Animations - USE CASE: DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up\n\n42. **#42** — entwickle einen DVAG Provisions-Tracker mit Forecasting - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Provisions-Dashboard monatlich/quartalsweise/jährlich (ApexCharts Column Chart), Produktarten-Mix Lebensversicherung/BU/Fonds/Immobilien, Bestands-Provisionen vs Abschluss-Provisionen, Provisions-Forecast basierend auf Pipeline, Commission Structure Visualizer Staffelung nach Volumen, YTD Year-to-Date Tracking, Quota Attainment Prozent vom Ziel, Leaderboard Ranking im Team, Top Producers Analyse, Revenue per Client Calculation, Churn Rate Impact auf Bestandsprovisionen, Seasonal Patterns Heatmap (D3.js), GSAP Commission Counter Animations - USE CASE: DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix\n\n43. **#43** — programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kalender-Ansicht Tag/Woche/Monat, Termin-Buchung mit Kundenauswahl, Termin-Typen Erstgespräch/Beratung/Jahresgespräch/Vertragsabschluss, Zeitslot-Blocker für Admin-Zeit, Erinnerungs-System 24h/1h vor Termin, No-Show Tracking, Doppelbuchung-Prevention, Travel Time Calculator zwischen Terminen, Kundenwunsch-Zeitfenster, Meeting Notes Attachment, Follow-up Task Creation nach Termin, Google Calendar Sync Mock, GSAP Calendar Animations - USE CASE: DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung\n\n44. **#44** — baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sales Funnel Visualizer Leads/Qualifiziert/Proposal/Negotiation/Closed (D3.js Funnel Chart), Conversion Rates pro Stage, Deal Value in Pipeline Total, Weighted Pipeline Wahrscheinlichkeit × Wert, Average Sales Cycle Tage von Lead zu Close, Win Rate Calculator Abschlussquote, Lead Source Tracking Empfehlung/Kaltakquise/Event/Online, Pipeline Velocity wie schnell Deals durchlaufen, Lost Reasons Analysis warum verloren, Sales Activities Calls/Meetings/Proposals, Top Deals highlighting, Pipeline Health Score, GSAP Funnel Animations - USE CASE: DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline\n\n45. **#45** — erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dokumenten-Upload Verträge/Ausweise/Einkommensnachweise, Dokumenten-Kategorisierung Versicherung/Investment/Steuer/Immobilien, Verschlüsselung Mock Sicherheit, Versions-Kontrolle Dokumente, Ablaufdatum-Tracking Ausweisdokumente, OCR Mock Text-Extraktion, Volltextsuche in Dokumenten, Sharing-Links zeitlich begrenzt, Audit Trail wer hat wann zugegriffen, Storage Quota Visualizer (ApexCharts Gauge), Backup & Export Funktion, Compliance DSGVO-konform, GSAP Document Upload Animations - USE CASE: DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen\n\n46. **#46** — entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Communication Timeline alle Touchpoints Telefon/Email/SMS/WhatsApp/persönlich (D3.js Timeline), Kontakt-Frequenz Tracking, Last Contact Date Reminder, Communication Preferences Kunde bevorzugt Email/Telefon, Email Template Library, SMS Bulk-Versand Geburtstage, WhatsApp Business Integration Mock, Call Notes pro Gespräch, Email Open/Click Tracking Mock, Response Time Analyzer, Follow-up Reminder Engine, Communication Volume Heatmap (D3.js), GSAP Message Animations - USE CASE: DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle\n\n47. **#47** — programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Beratungsprotokoll-Generator nach §34f GewO, Compliance-Checkliste alle Pflichtangaben, Risikoklassen-Ermittlung Kunde, Geeignetheits-Prüfung Produkt vs Kunde Match, Beratungsnachweis-PDF automatisch, Dokumentationspflicht-Erfüller, Haftungsrisiko-Minimizer, Widerrufsbelehrung Generator, Produktinformationsblatt Attachment, Vergütung-Offenlegung Pflicht, Beratungsfehler-Vermeidung, Quality Score pro Beratung (ApexCharts Radar), GSAP Compliance Animations - USE CASE: DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation\n\n48. **#48** — baue ein DVAG Berater-Performance-Dashboard Analytics - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Dashboard Abschlüsse/Umsatz/Neukundenrate/Cross-Sell-Quote, Monatliche Performance Trends (ApexCharts Line Charts), Ziel vs Ist Comparison, Product Mix Analysis Diversifikation, Customer Acquisition Cost Calculator, Customer Lifetime Value, Retention Rate Bestandskunden, Referral Rate Empfehlungsquote, Activities Metrics Calls/Meetings/Proposals pro Woche, Time Management Analyse produktive vs administrative Zeit, Peer Comparison anonymisiert, Growth Rate YoY Year-over-Year, GSAP KPI Counter Animations - USE CASE: DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance\n\n49. **#49** — erstelle ein DVAG Lead-Scoring-System Priorisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead Scoring Model demografisch/verhaltensbezogen/firmografisch, Score Calculation 0-100 Punkte, Lead Grade A/B/C/D basierend auf Score (D3.js Scatter Plot Score vs Engagement), Behavioral Signals Website-Besuche/Email-Opens/Content-Downloads, Demographic Factors Alter/Einkommen/Familie, Firmographic Factors Branche/Unternehmensgröße bei B2B, Engagement Level Interaktionen, Buying Intent Signals, Negative Scoring Disqualifiers, Lead Source Quality Rating, Automated Lead Assignment basierend auf Score, Lead Nurturing Recommendations, GSAP Lead Score Animations - USE CASE: DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads\n\n50. **#50** — entwickle einen DVAG Berater-Academy-Progress-Tracker Training - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainings-Fortschritt Dashboard alle Kurse, Skill-Bewertung Radar Chart (ApexCharts) Produkte/Compliance/Sales/Soft Skills, Zertifikate Tracker IHK/Sachkundenachweise, Weiterbildungs-Pflicht 15h jährlich, Learning Path Visualizer vom Einstieg zum Senior Berater (D3.js Tree), Quiz-Scores Wissensüberprüfung, Video-Trainings Completed, Peer Learning Studiengruppen, Mentorship Program Match, Career Progression Timeline, Next Certification Reminder, CPE Continuing Professional Education Tracker, GSAP Learning Animations - USE CASE: DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team\n\n## Kategorie 6: STEUER & RECHT TOOLS\n\n51. **#51** — erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Netto-Rechner Lohnsteuer/Soli/Kirchensteuer, Steuerklassen 1-6 Auswahl, Progressionsvorbehalt Visualizer (ApexCharts Stacked Area), Grenzsteuersatz vs Durchschnittssteuersatz, Kalte Progression Impact Inflation, Abzugsfähige Kosten Werbungskosten/Sonderausgaben/außergewöhnliche Belastungen, Steuerfreibeträge Grundfreibetrag/Kinderfreibetrag/Sparerpauschbetrag, Solidaritätszuschlag 5.5% ab 2021 Grenze, Kirchensteuer 8-9% je Bundesland, Steuererstattung Calculator, Jahressteuererklärung Simulator, Tax Bracket Visualizer (D3.js), GSAP Tax Calculation Animations - USE CASE: Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge\n\n52. **#52** — entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Abgeltungsteuer 25% + Soli 5.5% = 26.375%, Sparerpauschbetrag 1000€ Single / 2000€ Married, Freistellungsauftrag Manager mehrere Banken, Günstigerprüfung wenn persönlicher Steuersatz < 25%, Teilfreistellung Aktienfonds 30% / Mischfonds 15% / Immobilienfonds 60%, Kirchensteuer auf Kapitalerträge, Quellensteuer Ausland anrechenbar, Verlustverrechnung Aktien/Sonstige, Verlustverrechnungstopf Carry-Forward, Zinsen/Dividenden/Kursgewinne separate Töpfe, Tax-Loss Harvesting Strategie, Steueroptimierung Thesaurierend vs Ausschüttend ETF (ApexCharts), GSAP Tax Optimization Animations - USE CASE: Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal\n\n53. **#53** — programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbschaftsteuer-Calculator nach Verwandtschaftsgrad, Freibeträge Ehepartner 500k / Kinder 400k / Enkel 200k / Geschwister 20k, Steuerklassen I/II/III unterschiedliche Sätze (ApexCharts Bar Chart), Stufentarif 7% bis 50%, Selbstgenutzte Immobilie steuerfrei Ehepartner/Kinder unter Bedingungen, 10-Jahres-Regel mehrfache Schenkungen, Nießbrauch-Rechner Wert-Minderung, Kettenschenkung Optimierung Eltern→Kinder→Enkel, Berliner Testament Steuernachteil, Günstigere Varianten Vermögen verteilen, Erbschaftsteuer-Optimierungs-Strategien (D3.js Flow), GSAP Inheritance Animations - USE CASE: Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung\n\n54. **#54** — baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schenkungsteuer identisch mit Erbschaftsteuer Freibeträge/Sätze, 10-Jahres-Frist-Tracker Freibeträge alle 10 Jahre erneut, Schenkungsplan-Optimizer Vermögensübertragung über 30 Jahre (D3.js Timeline), Kettenschenkung Eltern→Kinder→Enkel doppelte Freibeträge, Nießbrauch-Vorbehalt Schenkung mit Nutzungsrecht, Wohnrecht-Eintragung Immobilienschenkung, Rückforderungsvorbehalt wenn Beschenkter vorverstirbt, Schenkung unter Auflage Pflege im Alter, Gemischte Schenkung Teil entgeltlich, Taggenaue Berechnung 10-Jahres-Frist, Steuerersparnis-Visualizer Schenkung vs Erbe (ApexCharts), GSAP Gift Planning Animations - USE CASE: Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie\n\n55. **#55** — erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: VL-Betrag Arbeitgeber max 40€/Monat, Arbeitnehmersparzulage 20% auf Aktien-VL (max 400€ VL → 80€ Zulage), Einkommensgrenzen Ledige 40.000€ / Verheiratete 80.000€, VL-Anlagemöglichkeiten Bausparvertrag/Aktien-Fondssparplan/Banksparplan, Sperrfrist 7 Jahre, VL-Fondssparplan Rendite-Projektion (ApexCharts Line Chart), Arbeitgeberzuschuss + Sparzulage + Rendite = Total Benefit, VL vs selbst sparen Comparison, Steuerfreie Einzahlung des Arbeitgebers, Zulageantrag automatisch vs manuell, VL-Rechner verschiedene Szenarien (D3.js), GSAP VL Animations - USE CASE: Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat\n\n56. **#56** — entwickle einen DVAG Riester-Renten-Rechner Förderquote - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Riester-Zulagen Grundzulage 175€/Jahr + Kinderzulage 300€/Kind, Mindesteigenbeitrag 4% Bruttoeinkommen minus Zulagen, Sockelbeitrag 60€/Jahr Minimum, Steuerliche Förderung Sonderausgabenabzug max 2100€, Günstigerprüfung Zulage vs Steuervorteil, Förderquote Calculator Zulagen/Eigenbeitrag, Riester-Produktvergleich Versicherung/Fondssparplan/Banksparplan/Wohn-Riester, Zulagenantrag Permanent-Zulagenantrag, Schädliche Verwendung Auszahlung vor Rente, Nachgelagerte Besteuerung Rentenbezug, Riester vs ETF-Sparplan Vergleich (ApexCharts), GSAP Riester Animations - USE CASE: Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen\n\n57. **#57** — programmiere ein DVAG Rürup-Renten-Rechner Selbständige - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rürup-Basisrente für Selbständige/Freiberufler, Steuerliche Absetzbarkeit 2024: 100% von max 27.566€ (Ledige) / 55.132€ (Verheiratete), Steuervorteil-Rechner nach persönlichem Steuersatz, Nachgelagerte Besteuerung in Rente, Rürup vs private Altersvorsorge Vergleich (ApexCharts), Kapitalwahlrecht nicht möglich nur lebenslange Rente, Hartz-IV-sicher Pfändungsschutz, Vererbung nicht möglich außer Hinterbliebenenrente, Zusatzbausteine BU/Hinterbliebenenabsicherung, Rürup-Produktvergleich Versicherung vs Fondssparplan, Rendite-Projektion (D3.js), GSAP Rürup Animations - USE CASE: Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis\n\n58. **#58** — baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: bAV-Durchführungswege Direktversicherung/Pensionskasse/Pensionsfonds/Direktzusage/Unterstützungskasse, Entgeltumwandlung Brutto zu bAV Steuer- und Sozialversicherungsfrei, Fördergrenze 2024: 8% BBG = 7.248€ sv-frei / 4% BBG darüber hinaus steuerfrei, Arbeitgeberzuschuss Pflicht 15% bei Sozialversicherungsersparnis, Steuerersparnis durch Bruttoumwandlung (ApexCharts Waterfall), Nachgelagerte Besteuerung + Krankenversicherung in Rente, Portabilität bei Arbeitgeberwechsel, Riester-Förderung zusätzlich möglich, bAV vs private Altersvorsorge Comparison, Unverfallbarkeit nach 3 Jahren, GSAP bAV Animations - USE CASE: Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung\n\n59. **#59** — erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Jahresendrallye Steueroptimierung November/Dezember, Sonderausgaben vorziehen Versicherungen/Spenden/Riester, Werbungskosten maximieren Arbeitszimmer/Fortbildung/Fachliteratur, Außergewöhnliche Belastungen Krankheitskosten/Pflegekosten, Handwerkerleistungen 20% abzugsfähig max 1200€, Haushaltsnahe Dienstleistungen 20% max 4000€, Verlustverrechnung realisieren Tax-Loss Harvesting, Abschreibungen Immobilien AfA, Investitionsabzugsbetrag Selbständige, Sonderabschreibung degressive AfA, Steueroptimierungs-Checkliste (D3.js Flow Diagram), Steuerersparnis-Potential Calculator (ApexCharts), GSAP Year-End Planning Animations - USE CASE: Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung\n\n60. **#60** — entwickle einen DVAG Steuererklärung-Assistent Deutschland - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Steuererklärung-Wizard Schritt-für-Schritt, Anlage N Einkünfte nichtselbständige Arbeit, Anlage KAP Kapitaleinkünfte, Anlage V Vermietung Verpachtung, Anlage AV Altersvorsorge Riester/Rürup, Werbungskosten-Pauschalen vs Einzelnachweis, Entfernungspauschale 30 Cent/km, Arbeitszimmer-Rechner, Verpflegungsmehraufwand Dienstreisen, Doppelte Haushaltsführung, Fortbildungskosten, Steuererstattung-Prognose (ApexCharts Gauge), ELSTER Mock-Export, Abgabefrist-Reminder 31.7., GSAP Form Fill Animations - USE CASE: Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung\n\n## Kategorie 7: ALTERSVORSORGE & RENTE\n\n61. **#61** — erstelle ein DVAG Rentenlücken-Rechner Deutschland - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesetzliche Rente Estimator basierend auf Entgeltpunkten, Rentenniveau aktuell 48% sinkt auf 43%, Versorgungslücke Current Lifestyle vs Gesetzliche Rente (ApexCharts Gap Chart), 3-Schichten-System gesetzlich/betrieblich/privat Visualizer (D3.js Stacked Area), Inflationsbereinigung Kaufkraft im Alter, Lebenserwartung Calculator Durchschnitt + 10 Jahre Sicherheit, Zusätzlicher Kapitalbedarf bis Lebensende, Sparrate-Berechnung um Lücke zu schließen, Rentenbeginn-Optimizer 63/65/67/70 Jahre Abschläge/Zuschläge, Teilrente in Kombi mit Teilzeit, Steuer auf Rente Ertragsanteil 2040: 100%, GSAP Gap Visualization Animations - USE CASE: Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar\n\n62. **#62** — entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schicht 1 Basisversorgung Gesetzliche Rente/Rürup, Schicht 2 Zusatzversorgung bAV/Riester, Schicht 3 Kapitalanlage private Renten/ETF/Immobilien, Gesamtrenten-Projektion alle Schichten (ApexCharts Stacked Column), Optimale Schichtung nach Steuersituation, Schicht-Priorisierung für verschiedene Berufsgruppen Angestellt/Beamte/Selbständig, Tax Treatment jeder Schicht in Anspar & Auszahlphase, Flexibilität Score Verfügbarkeit Kapital, Förderquoten-Vergleich Riester/Rürup/bAV, Diversifikation über Schichten (D3.js Sankey Flow), Asset Allocation Altersvorsorge, GSAP 3-Layer Animations - USE CASE: Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix\n\n63. **#63** — programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelaltersgrenze nach Geburtsjahrgang 65-67 Jahre, Früherer Rentenbeginn ab 63 mit Abschlägen 0.3% pro Monat, Rente mit 63 nach 45 Beitragsjahren ohne Abschlag, Späterer Rentenbeginn Zuschläge 0.5% pro Monat, Break-Even Analyse früh vs spät (ApexCharts Line Chart Crossover), Lebenserwartung Impact auf Break-Even, Gesundheitszustand-Faktor, Weiterarbeiten-Rentability neben Teilrente, Hinzuverdienst-Grenzen vor Regelaltersgrenze, Rentenbesteuerung unterschiedlich je Eintrittsalter, Optimaler Rentenbeginn Calculator (D3.js Decision Tree), GSAP Retirement Age Animations - USE CASE: Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit\n\n64. **#64** — baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 4% Rule Calculator Trinity Study, Variable Withdrawal Strategies Guyton-Klinger, Dynamic Spending Adjustments Market-Based, Withdrawal Rate Simulator 3%/4%/5% (ApexCharts Monte Carlo), Portfolio Longevity bis 95/100 Jahre, Sequence of Returns Risk Visualizer frühe Bear Markets (D3.js), Inflation-Adjusted Withdrawals 2-3%, Tax-Efficient Withdrawal Order Taxable/Tax-Deferred/Tax-Free, Required Minimum Distributions RMDs ab 73 Jahre, Social Security Timing Integration, Bucket Strategy Cash/Bonds/Stocks, Failure Rate Probability Portfolio Depletion, GSAP Withdrawal Animations - USE CASE: Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung\n\n65. **#65** — erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entgeltpunkte-Berechnung Brutto/Durchschnitt, Rentenwert aktuell 39.32€ (West) / 39.32€ (Ost) seit 2024, Rentenformel Entgeltpunkte × Zugangsfaktor × Rentenartfaktor × Rentenwert, Versicherungsverlauf Simulation Jahre, Durchschnittsentwicklung Gehälter, Rentenhöhe-Projektion (ApexCharts Column Chart), Rentenanpassung 1-2% jährlich, Mütterrente Kindererziehungszeiten, Erwerbsminderungsrente, Hinterbliebenenrente Witwen/Waisen, Rentenauskunft Checker, Deutsche Rentenversicherung Info-Integration, GSAP Pension Calculation Animations - USE CASE: Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt\n\n66. **#66** — entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Altersvorsorge-Produkte Matrix ETF/Riester/Rürup/bAV/private Rente/Immobilien, Rendite vs Sicherheit Scatter Plot (D3.js), Liquidität vs Rendite Trade-Off, Steuerliche Förderung Ranking, Kosten-Transparenz TER/Effektivkosten, Flexibilität Score Verfügbarkeit, Diversifikation über Produkttypen, Alters-Glide-Path 100-Alter Aktienquote, Rebalancing verschiedene Produkte, Risk-Adjusted Return Sharpe Ratio, Altersvorsorge-Empfehlung basierend auf Profil (ApexCharts Radar), GSAP Product Mix Animations - USE CASE: Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen\n\n67. **#67** — programmiere ein DVAG Pension-Gap-Analyzer Expatriates International - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sozialversicherungsabkommen Deutschland mit Ländern, Rentenansprüche mehrere Länder kombinieren, EU-Koordinierung Rentenansprüche, Pension Totalization Agreements USA/Canada/Australia, Versorgungslücke bei Auslandsaufenthalten, Private International Pension Solutions, Currency Risk Renten in anderer Währung, Tax Treatment Cross-Border Pensions DBA Doppelbesteuerungsabkommen, Gesetzliche Rente Export-Fähigkeit, Expat Retirement Strategies, Ländervergleich Rentensysteme (D3.js World Map), GSAP International Pension Animations - USE CASE: Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung\n\n68. **#68** — baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentenbesteuerung Gesetzliche Rente Besteuerungsanteil 2024: 83% steigt auf 100% bis 2040, Rentenfreibetrag einmalige Festsetzung bei Rentenbeginn, Altersentlastungsbetrag für andere Einkünfte im Alter, Grundfreibetrag 2024: 11.604€, Krankenversicherung Rentner KVdR, Pflegeversicherung Rentner, Steuerpflicht-Checker Rente über Grundfreibetrag, Private Rentenversicherung Ertragsanteilsbesteuerung je nach Rentenbeginn-Alter, Riester-Rente nachgelagerte Vollversteuerung, Rürup-Rente nachgelagerte Vollversteuerung, Nettorentenrechner nach Steuern (ApexCharts Waterfall), GSAP Tax on Pension Animations - USE CASE: Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen\n\n69. **#69** — erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundsicherung im Alter Bedarf 2024 ca. 950€/Monat, Altersarmut-Schwelle 60% Median-Einkommen, Risikogruppen Mini-Jobber/Selbständige ohne Altersvorsorge/Alleinerziehende/Langzeitarbeitslose, Erwerbsbiografie-Lücken Impact, Teilzeit-Arbeit Rentenauswirkungen, Gender Pension Gap Frauen, Scheidung Impact Versorgungsausgleich, Gesundheitskosten im Alter, Pflegekosten-Risiko, Altersarmut-Wahrscheinlichkeit Calculator (ApexCharts Gauge), Präventions-Maßnahmen Altersvorsorge aufbauen, GSAP Poverty Risk Animations - USE CASE: Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen\n\n70. **#70** — entwickle einen DVAG Renten-Splitting-Rechner Ehepaare - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentensplitting unter Ehegatten, Versorgungsausgleich bei Scheidung, Partner-Rente Hinterbliebenenversorgung, Witwenrente 55%/60% der Rente des Verstorbenen, Eigene Rente angerechnet auf Witwenrente, Freibetrag Witwenrente, Große vs Kleine Witwenrente, Rentenkürzung bei Wiederheirat, Splitting vs Witwenrente Comparison (ApexCharts), Erziehungszeiten Anrechnung, Rentenoptimierung Ehepaare Einzeln vs Gesamt, Tax Optimization Ehegatten-Splitting, GSAP Couple Pension Animations - USE CASE: Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien\n\n## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT\n\n71. **#71** — erstelle ein DVAG Konzern-Performance-Dashboard Executive - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Overview Umsatz/Neugeschäft/Bestand/Mitarbeiter, Regional Performance Deutschland-Karte (D3.js Geo Choropleth), Top Regions Ranking, Produktmix-Analyse Leben/BU/Fonds/Immobilien (ApexCharts Stacked Column), YoY Growth Rate Year-over-Year, Monthly Trends Charts, Berater-Produktivität Durchschnitt, Customer Acquisition Cost, Customer Lifetime Value, Churn Rate Bestandskunden, Market Share Visualizer, Strategic Goals vs Actuals (D3.js Bullet Charts), GSAP Executive Dashboard Animations - USE CASE: DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance\n\n72. **#72** — entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertriebs-Organisationen Hierarchie Visualizer (D3.js Org Chart), Team-Leaderboard Top Performers, Individual Performance Scorecards, Sales Targets vs Actuals, Commission Tracking pro Berater, Activity Metrics Calls/Meetings/Proposals, Conversion Rates Funnel, Cross-Sell Ratio, Retention Rate Team, Recruiting Success neue Berater, Training Completion Rate, Performance Distribution Histogram (ApexCharts), Team Collaboration Score, GSAP Team Performance Animations - USE CASE: Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse\n\n73. **#73** — programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Neugeschäft-Volumen Daily/Weekly/Monthly (ApexCharts Real-Time Line Chart), Produktarten-Split, Durchschnittliche Vertragssumme, Anzahl Abschlüsse, Top Berater Neugeschäft, Regional Distribution Neugeschäft (D3.js Map), Neugeschäft Forecast basierend auf Pipeline, Saisonalität-Analyse Heatmap, Campaign Performance Marketing-Kampagnen, Lead-to-Close Rate, Time-to-Close Average, New Business Quality Score, GSAP New Business Animations - USE CASE: DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg\n\n74. **#74** — baue ein DVAG Bestandsgeschäft-Analyzer Retention - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestandsvolumen Total nach Produktarten, Retention Rate jährlich (ApexCharts Line Chart), Churn Rate Kündigungen, Lapse Ratio Stornoquote, Premium Persistency Beitragstreue, Policy Persistency Vertragstreue, Storno-Gründe Analyse, At-Risk Customers Identifier Kündigungsrisiko, Bestandspflege-Aktivitäten, Cross-Sell Opportunities im Bestand, Policen-Erhöhungen Dynamik, Bestandsprovisionen Forecast, GSAP Retention Animations - USE CASE: DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification\n\n75. **#75** — erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Recruiting Funnel Leads/Interviews/Offers/Hires (D3.js Funnel), Conversion Rate pro Stage, Source of Hires Referrals/Events/Online/Ads, Time-to-Hire Average, Quality of Hire Metrics erste 12 Monate Performance, Retention New Hires 1-Jahres-Quote, Onboarding Completion Rate, Recruiter Productivity, Cost per Hire, Headcount Growth Netto-Wachstum (ApexCharts), Regional Recruiting Performance, Diversity Metrics, GSAP Recruiting Funnel Animations - USE CASE: DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting\n\n76. **#76** — entwickle einen DVAG Training-Effectiveness-Dashboard Academy - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Training Completion Rates alle Programme, Skill Development Tracking pre/post Tests, Certification Success Rate IHK/Sachkunde, Training ROI Performance nach Training, Course Ratings Feedback, Training Hours pro Berater, Compliance Training Mandatory, Product Knowledge Scores, Sales Skills Assessment, Soft Skills Development, Learning Path Completion (D3.js Sankey), Training Cost per Berater, GSAP Training Progress Animations - USE CASE: DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback\n\n77. **#77** — programmiere ein DVAG Customer-Satisfaction-Dashboard NPS - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Net Promoter Score NPS -100 bis +100, Customer Satisfaction Score CSAT, Customer Effort Score CES, Sentiment Analysis Reviews, Complaint Rate, Resolution Time Beschwerden, Survey Response Rate, NPS Trend über Zeit (ApexCharts Line Chart), NPS by Region/Product/Berater, Promoters vs Detractors Analysis, Feedback Themes Word Cloud (D3.js), Referral Rate aus Promoters, GSAP NPS Score Animations - USE CASE: DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse\n\n78. **#78** — baue ein DVAG Compliance-Dashboard Regulatory Monitoring - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Compliance-Rate Beratungsprotokolle 100% Ziel, Weiterbildungspflicht 15h erfüllt Berater-Quote, IHK-Zertifizierungen aktuell, Produktinformationsblätter vollständig, Datenschutz DSGVO Compliance, Geldwäsche-Prävention Schulungen, Beschwerdemanagement Response Times, Audit Findings offene vs geschlossene, Regulatory Changes Dashboard neue Gesetze (D3.js Timeline), Risk Score Compliance-Risiken (ApexCharts Gauge), Sanctions & Fines Tracking, GSAP Compliance Check Animations - USE CASE: DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation\n\n79. **#79** — erstelle ein DVAG Produkt-Performance-Dashboard Portfolio - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Produktportfolio-Übersicht Leben/BU/Kranken/Fonds/Immobilien, Sales Volume pro Produkt (ApexCharts Treemap), Profitability Margin pro Produkt, Product Life Cycle Stage Introduction/Growth/Maturity/Decline, Market Share Wettbewerb, Customer Satisfaction pro Produkt, Cross-Sell Affinity Matrix (D3.js Heatmap), Product Cannibalization Analysis, Portfolio Balance Risk/Return, New Product Launch Performance, Underperforming Products Identifier, GSAP Product Performance Animations - USE CASE: DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen\n\n80. **#80** — entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Marktanteile DVAG vs Wettbewerb Allianz/AXA/Zurich/SwissLife (ApexCharts Pie Chart), Competitive Positioning Matrix (D3.js Scatter Plot), Pricing Comparison Prämien/TER, Product Feature Comparison, Customer Acquisition Trends Markt, Digital Transformation Index Wettbewerber, Social Media Sentiment Analysis, Market Growth Rate gesamt, Regulatory Changes Impact auf Wettbewerb, Competitive Threats & Opportunities, Market Share Trends Historical (ApexCharts Area Chart), GSAP Market Intelligence Animations - USE CASE: DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren\n\n## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE\n\n81. **#81** — erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Verträge Übersicht Leben/BU/Kranken/Fonds/Immobilien, Vertragsstatus Aktiv/Ruhend/Gekündigt, Prämien-Übersicht monatlich/jährlich (ApexCharts Pie Chart), Versicherungssummen Total, Ablaufleistungen Projection, Vertrags-Details pro Police, Beitragsfreistellung Option, Policen-Erhöhung Nachversicherung, Vertragsänderungen Historie, Document Download Police/Jahresinformation, Schadenfall melden, Kontakt Berater Button, GSAP Portal Dashboard Animations - USE CASE: DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen\n\n82. **#82** — entwickle einen DVAG Fondspolice-Tracker Performance Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fondspolice-Guthaben aktuell, Fonds-Allocation Pie Chart (ApexCharts), Performance Charts 1/3/5/10 Jahre (D3.js Multi-Line), Einzahlungen vs Wertsteigerung, Cost Average Effect Visualization, Fondswechsel Self-Service Umschichtung, Dynamik-Option Beitragserhöhung, Zuzahlung einmalig, Kosten-Transparenz laufende Kosten, Ablaufleistung Projection (ApexCharts Area Chart), Steuerliche Behandlung Infos, Download Jahresbescheinigung, GSAP Fondspolice Animations - USE CASE: DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich\n\n83. **#83** — programmiere ein DVAG Schadensmeldung-Portal Digital - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadensmeldung-Formular Step-by-Step, Schadensart Auswahl Unfall/Krankheit/Kfz/Hausrat/Rechtsschutz, Upload Fotos/Belege/Gutachten, Schadennummer Tracking, Status-Verfolgung Eingegangen/Prüfung/Gutachten/Zahlung, Kommunikation mit Sachbearbeiter Chat, Zahlungsstatus Regulierung, Schadens-Historie alle vergangenen, Rückfragen-Management, Fristen-Reminder fehlende Unterlagen, Push Notifications Status-Updates, Durchschnittliche Bearbeitungszeit Info, GSAP Schadensmeldung Animations - USE CASE: DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess\n\n84. **#84** — baue ein DVAG Dokumenten-Center Self-Service Download - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Dokumente Übersicht Verträge/Jahresinformationen/Steuerbescheinigungen/Leistungsübersichten, Kategorisierung nach Dokumententyp, Zeitliche Sortierung, Suchfunktion Volltext, Download PDF einzeln/gesammelt, E-Signatur Vertragsänderungen, Postbox digitale Postbox statt Brief, Archivierung 10 Jahre gesetzlich, Upload eigene Dokumente Scans, Dokumenten-Sharing mit Berater, Neue Dokumente Notifications, Papierlos-Option, GSAP Document Download Animations - USE CASE: DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich\n\n85. **#85** — erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Beitragszahlungen Übersicht alle Verträge, Zahlungsrhythmus monatlich/quartalsweise/halbjährlich/jährlich, Bankverbindung ändern SEPA-Lastschrift, Zahlungshistorie, Zahlungsausfall-Alerts, Beitragsrückstände Mahnung, Ratenzahlung Rückstände, Beitragsanpassung Dynamik stoppen/aktivieren, Zahlungsmethode ändern Lastschrift/Überweisung, Beitragsfreistellung beantragen, Beitragszahlung aussetzen temporär, Rückforderung überzahlte Beiträge, GSAP Payment Management Animations - USE CASE: DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen\n\n86. **#86** — entwickle einen DVAG Termin-Buchung-Portal Self-Service - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Berater-Kalender Verfügbarkeit, Termin-Buchung Self-Service Datum/Uhrzeit, Terminart Beratung/Jahresgespräch/Vertragsabschluss, Video-Call vs Persönlich vs Telefon, Standort-Auswahl Geschäftsstelle/Kunde, Agenda-Setting Gesprächsthemen, Erinnerung 24h/1h vor Termin, Termin verschieben/absagen Self-Service, Berater-Profil Foto/Bio, Wartezeit-Info durchschnittlich, Meeting-Link Video-Call, Termin-Historie vergangene Gespräche, GSAP Booking Animations - USE CASE: DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand\n\n87. **#87** — programmiere ein DVAG Adress-Änderungs-Portal Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Adresse ändern alle Verträge auf einmal, Telefonnummer ändern, E-Mail-Adresse ändern, Familienstand ändern Heirat/Scheidung, Namensänderung nach Heirat, Kontopfändung melden, Bezugsrechtsänderung Begünstigte, Kinder hinzufügen Geburt, Kinder entfernen Volljährigkeit, Arbeitgeber-Wechsel melden, Änderungs-Historie, Bestätigung E-Mail, Automatische Aktualisierung aller Verträge, GSAP Address Change Animations - USE CASE: DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates\n\n88. **#88** — baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestehende Policen Upload/Import, Bedarfsanalyse-Fragebogen Lebenssituation, Coverage Gap Analysis Unterversicherung (ApexCharts Gap Chart), Overlap Detection Doppelversicherung, Optimierungspotenzial Prämien sparen, Produktempfehlungen basierend auf Gaps, Lebensphasen-Check Anpassungsbedarf, Risiko-Score aktueller Schutz (D3.js Gauge), Vergleich zu Empfehlung Soll vs Ist, Beratungstermin vorschlagen bei Gaps, PDF-Report Police-Check Ergebnis, Jährlicher Police-Check Reminder, GSAP Policy Check Animations - USE CASE: DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check\n\n89. **#89** — erstelle ein DVAG FAQ & Chatbot-Portal Self-Service - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FAQ-Kategorien Verträge/Schaden/Zahlung/Änderungen, Suchfunktion Freitext, Chatbot Mock Conversations häufige Fragen, Guided Navigation Decision Tree, Video-Tutorials How-To, Glossar Versicherungsbegriffe, Contact Escalation zu Berater bei komplexen Fragen, Kontaktformular, Telefon-Hotline Info, E-Mail Support, FAQ-Feedback hilfreich/nicht hilfreich, Popular Topics Trending, Chatbot-Analytics häufigste Fragen (ApexCharts), GSAP Chatbot Animations - USE CASE: DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot\n\n90. **#90** — entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budgetplaner Einnahmen/Ausgaben, Sparziel-Tracker Notgroschen/Urlaub/Auto, Rentenlücken-Rechner Self-Service, Immobilienfinanzierung-Rechner, Versicherungsbedarf-Calculator Leben/BU, Investment-Rechner ETF-Sparplan, Steuer-Rechner Brutto/Netto, Altersvorsorge-Planner 3 Schichten, Finanz-Ziele Priorisierung, Fortschritt-Tracking Goals, Beratungsempfehlung bei komplexen Zielen, PDF-Export Finanzplan, GSAP Financial Planning Animations - USE CASE: DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung\n\n## Kategorie 10: TRAINING & ONBOARDING APPS\n\n91. **#91** — erstelle ein DVAG Onboarding-Dashboard Neue Berater - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Onboarding-Progress Timeline 90 Tage (D3.js Gantt Chart), Pflicht-Trainings Checklist Produkte/Compliance/Sales/IT, Video-Kurse Completion Rate, Quiz-Scores Wissensüberprüfung, IHK-Prüfung Vorbereitung, Sachkundeprüfung §34f GewO, Mentorship Pairing, Buddy-System Support, First Sales Milestone 5 Abschlüsse, Certifications Earned Badges (ApexCharts Progress Bars), Manager Check-Ins Termine, Feedback Surveys, GSAP Onboarding Progress Animations - USE CASE: DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation\n\n92. **#92** — entwickle einen DVAG Produkt-Training-Simulator Interactive - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Produkt-Katalog alle DVAG-Produkte Leben/BU/Fonds/Immobilien, Interactive Product Explorer Features/Kosten/Zielgruppe, Vergleichs-Tool Produkte Side-by-Side, Sales Pitch Templates, Objection Handling Scenarios, Competitive Comparison Wettbewerb, Tarif-Rechner Integration, Produktwissen-Quiz pro Produkt, Zertifikate pro Produktkategorie, Best Practices Success Stories, Update-Notifications neue Produkte, Learning Path Produktspezialist (D3.js), GSAP Product Training Animations - USE CASE: DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator\n\n93. **#93** — programmiere ein DVAG Sales-Skills-Training Rollenspiele - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sales Methodology SPIN Selling/Challenger/Solution Selling, Rollenspiel-Szenarien Erstgespräch/Einwandbehandlung/Abschluss, Video-Recording Mock Pitches, Peer Feedback, Self-Assessment Rubrics, Sales Skills Radar Chart (ApexCharts) Rapport/Discovery/Presentation/Closing, Objection Library 50+ Einwände mit Antworten, Call Script Builder, Elevator Pitch Generator, Negotiation Tactics, Closing Techniques, Practice Score Tracking (D3.js), GSAP Sales Roleplay Animations - USE CASE: DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training\n\n94. **#94** — baue ein DVAG Compliance-Training-Platform Pflichtschulungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflichtschulungen Geldwäsche/Datenschutz/Beratungsprotokoll/Produktinformationspflicht, E-Learning Modules Video+Text+Quiz, Compliance-Quiz Bestehen 80% minimum, Zertifikate Completion, Jährliche Auffrischung 15h Pflicht, Regulatory Updates neue Gesetze, Best Practices Dos and Don'ts, Case Studies Compliance-Verstöße, Audit Preparation, Compliance Score Dashboard (ApexCharts Gauge), Non-Compliance Consequences, Refresher Training Reminder, GSAP Compliance Training Animations - USE CASE: DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen\n\n95. **#95** — erstelle ein DVAG Soft-Skills-Academy Kommunikation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kommunikations-Training Active Listening/Empathy/Questioning, Konfliktmanagement Deeskalation, Verhandlungsführung Win-Win, Präsentations-Skills, Body Language Decoder, Emotional Intelligence Assessment (ApexCharts Radar), Storytelling für Sales, Rapport Building Techniques, Trust Establishment, Customer Psychology, Cultural Sensitivity, Difficult Conversations Handling, Soft Skills Score Tracking (D3.js), Practice Exercises, GSAP Soft Skills Animations - USE CASE: DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation\n\n96. **#96** — entwickle einen DVAG Digital-Tools-Training IT-Skills - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: CRM-System Training DVAG-Software, Kunden-Portal Nutzung, Dokumenten-Management System, Video-Call Tools Zoom/Teams, E-Signature Plattform, Tablet-Präsentationen iPad-Apps, Social Selling LinkedIn/Xing, Digital Marketing Basics, Cybersecurity Awareness Phishing, DSGVO Digital, Productivity Tools Kalender/To-Do, IT-Support FAQ, Digital Fluency Score (ApexCharts), GSAP Digital Tools Animations - USE CASE: DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen\n\n97. **#97** — programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: IHK-Prüfung §34f GewO Lernmaterialien, Prüfungsinhalte Versicherungsprodukte/Recht/Steuern/Beratungspflichten, Übungsfragen 1000+ Fragen, Mock-Exams Prüfungssimulation, Zeitlimit 120 Minuten, Score Tracking Fortschritt (ApexCharts Line Chart), Schwachstellen-Analyse welche Themen üben (D3.js Heatmap), Lernplan 8 Wochen strukturiert, Video-Lektionen, Prüfungsangst-Tipps, Success Rate Statistik, Zertifikat Mock bei Bestehen, GSAP Exam Prep Animations - USE CASE: DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung\n\n98. **#98** — baue ein DVAG Berater-Mentorship-Plattform Peer Learning - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mentor-Matching Senior mit Junior Berater, Mentorship Goals Setting, Meeting-Scheduler regelmäßige Check-Ins, Knowledge Sharing Best Practices, Career Development Roadmap, Skill Gap Identification, Learning Resources Empfehlungen, Feedback 360° Mentor/Mentee, Success Stories Mentorship Impact, Mentorship Program Analytics (ApexCharts), Peer Learning Groups Studiengruppen, Community Forum Q&A, GSAP Mentorship Animations - USE CASE: DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt\n\n99. **#99** — erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Micro-Lessons 5-10 Minuten Video/Text/Quiz, Daily Learning Habit 15min täglich, Mobile-First Design Learning on the Go, Push Notifications Daily Lesson, Topics Library 500+ Lessons Produkte/Sales/Compliance/Soft Skills, Gamification Points/Badges/Leaderboard, Spaced Repetition Algorithm optimale Wiederholung, Learning Streaks Consecutive Days, Social Learning Share Progress, Completion Rate Tracking (ApexCharts), Personalized Learning Path AI-basiert, Offline Download Lessons, GSAP Micro Learning Animations - USE CASE: DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition\n\n100. **#100** — entwickle einen DVAG Skill-Assessment-Center 360° Evaluation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: 360° Feedback Self/Peers/Manager/Customers, Skill Assessment Radar Chart (ApexCharts) Produkte/Sales/Compliance/Soft Skills/Digital, Competency Framework DVAG-Standards, Performance Evaluation Quarterly, Development Plan basierend auf Gaps, Strength Finder Top Talents, Career Path Recommendation, Promotion Readiness Score, Skill Gap Prioritization, Training Recommendations personalisiert, Progress Tracking Over Time (D3.js Line Chart), Coaching Sessions Buchung, GSAP Assessment Animations - USE CASE: DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps\n\n## Hinweis\nQuelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).\n",
            "source": "dvag-100-prompts.md",
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            "is_root_file": true,
            "is_local_project": false,
            "is_prompt": false,
            "is_prompt_source": true,
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            "catalog_type": "root_file",
            "record_id": "root-file:007:dvag-100.md",
            "title": "100 DVAG Komplexe HTML5 App-Prompts",
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            "overview": "--- project: 100-dvag-complex-html5-app-prompts category: Prompt-Bibliothek cluster: DVAG / Finanzberatung tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, dvag, finance, insurance, crm, tax, retirement] --- # 100 DVAG Komplexe HTML5 App-Prompts ## Overview Batch-1-Prompt-Bibliothek für die KI-gestützte Massen-Generierung komplexer, frontend-only HTML5-Apps im DVAG-Berater-Umfeld: Finanzplanung, Investment, Versicherung, Immobilien, Berater-CRM, Steuer/Recht, Altersvorsorge, Konzern-Dashboards, Kunden-Self-Service und Training. 10 Kategorien à 10 Prompts, jeder Prompt production-ready formuliert (App-Name, Tech-Stack, Feature-Liste, Use-Case). ## Ziel-Komplexität - 150+ KB Dateig",
            "content": "---\nproject: 100-dvag-complex-html5-app-prompts\ncategory: Prompt-Bibliothek\ncluster: DVAG / Finanzberatung\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, dvag, finance, insurance, crm, tax, retirement]\n---\n\n# 100 DVAG Komplexe HTML5 App-Prompts\n\n## Overview\nBatch-1-Prompt-Bibliothek für die KI-gestützte Massen-Generierung komplexer, frontend-only HTML5-Apps im DVAG-Berater-Umfeld: Finanzplanung, Investment, Versicherung, Immobilien, Berater-CRM, Steuer/Recht, Altersvorsorge, Konzern-Dashboards, Kunden-Self-Service und Training. 10 Kategorien à 10 Prompts, jeder Prompt production-ready formuliert (App-Name, Tech-Stack, Feature-Liste, Use-Case).\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße\n- 2500+ Zeilen Code\n- 250+ Components\n- 8+ GSAP-Animationen\n- Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts + D3.js + GSAP + LocalStorage/IndexedDB\n\n## Kategorie 1: FINANZPLANUNG & BERATUNGSTOOLS\n\n1. **#1** — erstelle ein DVAG Kundenfinanzplanungs-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 360° Finanzübersicht mit Einnahmen/Ausgaben Sankey Diagram (D3.js), Vermögensaufbau Timeline 30 Jahre (ApexCharts Area Chart), Cashflow-Waterfall Monatlich (ApexCharts Waterfall), Schuldenabbau-Simulator mit Snowball vs Avalanche Vergleich, Notgroschen-Rechner 3-6 Monate Expenses, Asset Allocation Pie Chart mit Rebalancing Alerts, Steuerbelastung Visualizer progressive Steuersätze, Sparziel-Tracker mit Meilenstein-Badges, PDF-Export Finanzplan DVAG-Branding, Offline-Modus IndexedDB, Dark Mode, GSAP Page Transitions, Mobile Touch Gestures - USE CASE: DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus\n\n2. **#2** — entwickle einen DVAG Haushaltsbudget-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budget-Kategorien Manager (Housing, Transport, Food, Insurance, Entertainment etc.), Ausgaben-Tracking mit Chart.js Donut Charts, 50/30/20 Rule Visualizer (Needs/Wants/Savings), Trendanalyse Monatlich/Jährlich (ApexCharts Line Charts), Budgetüberschreitungs-Alerts mit Push Notifications API, Vergleich zu Durchschnitt nach Haushaltsgröße und Region, Variable vs Fixed Expenses Breakdown, Saisonale Ausgaben-Muster Heatmap (D3.js), Einsparungspotenzial-Finder AI-basiert, CSV Import/Export, GSAP Animations, Responsive Mobile-First - USE CASE: Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights\n\n3. **#3** — programmiere ein DVAG Einkommensströme-Visualizer Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multiple Income Streams Tracker (W2, Freelance, Dividends, Rental, Business), Income Diversification Score Calculator, Passive vs Active Income Ratio (ApexCharts Radial Bar), Income Growth Projection 10 Jahre (D3.js Multi-Line Chart), Einkommensstabilität-Analyse Volatility Index, Tax Impact Calculator per Income Stream, Side Hustle ROI Analyzer, Income Funnel Visualizer (D3.js Sankey), Monatliche Income Distribution Heatmap, Jahresvergleich Income Mix, GSAP Counter Animations, PWA Offline Support - USE CASE: Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency\n\n4. **#4** — baue ein DVAG Lebensstandard-Planer Retirement - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Retirement Lifestyle Calculator, Inflationsanpassung 2-3% jährlich automatisch, Healthcare Cost Projector im Alter, Travel & Leisure Budget Planner, Housing Downsizing Calculator, Longevity Risk Analyzer bis 100 Jahre, Social Security Timing Optimizer (früh vs spät), Renten-Lücken-Rechner mit Visualization (ApexCharts Gap Chart), Lifestyle Inflation Tracker, Bucket Strategy Planner (Short/Mid/Long Term), Geographic Arbitrage Calculator Umzug Low-Cost Areas, GSAP Timeline Scroll Animations - USE CASE: Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken\n\n5. **#5** — erstelle einen DVAG Familien-Finanzplaner Multi-Generation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Family Tree Visualizer mit Finanzzielen (D3.js Hierarchical Layout), Bildungsfinanzierung-Calculator pro Kind (College/Uni Costs), Generational Wealth Transfer Simulator, Erbschaftssteuer-Optimierer, Life Insurance Needs Calculator ganze Familie, Notfallplan Financial Emergency Kit, Income Loss Protection Analysis, Family Budget Consolidator alle Haushaltsmitgliber, Kids Financial Education Tracker Taschengeld & Sparen, Großeltern zu Enkel Transfer 529 Plans, GSAP Family Tree Animations, Collaborative Editing Multi-User - USE CASE: Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert\n\n6. **#6** — entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Nettovermögen-Tracker Assets minus Liabilities (ApexCharts Gauge), Asset Breakdown Real Estate/Stocks/Bonds/Cash/Crypto/Business (D3.js Treemap), Liability Details Mortgages/Student Loans/Credit Cards/Car Loans, Net Worth Timeline Historisch & Projektiert (ApexCharts Combo Chart), Debt-to-Asset Ratio Calculator, Liquidity Ratio Analyzer, Vermögensstruktur nach Risiko Low/Medium/High, Rebalancing Recommendations, Tax-Loss Harvesting Opportunities, Estate Value for Inheritance Planning, GSAP Number Counter Animations, Auto-Refresh Dashboard - USE CASE: Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit\n\n7. **#7** — programmiere einen DVAG Notfall-Finanzplan Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Emergency Fund Size Calculator 3-6-12 Monate, Job Loss Income Replacement Simulator, Medical Emergency Cost Estimator, Home Repair Emergency Fund, Auto Breakdown Reserve, Legal Emergency Fund, Income Continuity Plan bei Ausfall, Expense Cutting Roadmap Prioritized (D3.js Flow Diagram), Insurance Coverage Gap Analysis, Quick Access Liquidity Checker, Emergency Contact Financial Info Vault, Scenario Planner What-If Analysis, GSAP Alert Animations, Print Emergency Plan PDF - USE CASE: Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan\n\n8. **#8** — baue ein DVAG Finanzielle-Freiheit-Roadmap Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FI Number Calculator 25x Annual Expenses, Current vs Target Networth Gap (ApexCharts Progress Bar), Savings Rate Optimizer 10% bis 70%, Years to FI Calculator mit Compound Interest, Coast FI Calculator wann genug investiert, Barista FI Teil-Retirement Planner, Lean vs Fat FI Lifestyle Chooser, Geographic Arbitrage Impact, Side Hustle Addition Impact, Investment Return Scenarios 5%/7%/10% (D3.js Monte Carlo), Withdrawal Strategy 4% Rule vs Variable, Sequence of Returns Risk Visualizer, GSAP Milestone Animations - USE CASE: Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien\n\n9. **#9** — erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lifetime Earnings Calculator Start bis Rente, Gehaltserhöhungs-Projektion 3-5% jährlich, Career Path Comparator Angestellt vs Selbständig vs Beamter, Bildungsinvestition ROI Calculator Master/PhD vs Direkt arbeiten, Job-Wechsel Timing Optimizer maximale Earnings, Branchenwechsel Financial Impact, Geographic Location Salary Adjuster, Remote Work Income Opportunities, Skill Premium Calculator zusätzliche Qualifikationen, Promotion Impact Visualizer, Gender Pay Gap Analyzer, Career Plateau Identifier, GSAP Career Timeline Animations - USE CASE: Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings\n\n10. **#10** — entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multi-Goal Tracker (Notfonds, Altersvorsorge, Eigenheim, Auto, Urlaub, Bildung), Goal Priority Ranker Eisenhower Matrix (D3.js Scatter Plot), Progress Bars mit Milestone Badges, Savings Velocity Meter wie schnell zum Ziel (ApexCharts Speedometer), Goal Interdependency Visualizer (D3.js Network Graph), Motivation Boosters Achievement System, Social Sharing Progress optional, Automatic Savings Allocator zu Goals, Goal Conflict Resolver bei Budget-Limits, Celebration Animations GSAP bei erreichten Meilensteinen, Timeline View alle Goals (D3.js Gantt), Retrospective Goal Analysis was funktioniert - USE CASE: Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking\n\n## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS\n\n11. **#11** — erstelle ein DVAG Portfolio-Analyzer Advanced Professional - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Portfolio Holdings Table sortable/filterable, Asset Allocation Donut Chart Aktien/Anleihen/Immobilien/Cash/Alternative (ApexCharts), Sector Allocation Breakdown (D3.js Treemap), Geographic Diversification World Map (D3.js Geo), Performance Attribution Analysis, Risk Metrics Volatility/Sharpe/Sortino/Max Drawdown, Correlation Matrix Heatmap Assets (D3.js), Rebalancing Calculator mit Band-Width 5%, Tax-Aware Rebalancing, Portfolio Overlap Detector bei mehreren Depots, Factor Exposure Value/Growth/Momentum, Benchmark Comparison S&P500/MSCI World, GSAP Chart Transitions - USE CASE: Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap\n\n12. **#12** — entwickle einen DVAG ETF-Sparplan-Optimizer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Selektor nach Kriterien TER/Tracking Difference/Volumen/Replizierung, Core-Satellite Strategie Builder 70/30 bis 90/10, Sparrate-Calculator monatlich/quartalsweise, Compound Interest Simulator 30 Jahre (ApexCharts Area Chart), Rebalancing Frequency Optimizer jährlich vs quartalsweise, Tax-Optimized ETF Selection Thesaurierend vs Ausschüttend Deutschland, Ausschüttungsrendite-Tracker, Cost Comparison Broker-Gebühren TER Impact, Index-Wahl MSCI World vs FTSE All-World vs S&P500, Small Cap Value Tilt Calculator, Emerging Markets Allocation, Dividend ETF vs Growth ETF Comparison, GSAP Scroll Animations - USE CASE: Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau\n\n13. **#13** — programmiere ein DVAG Dividenden-Portfolio-Builder Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dividend Aristocrats Screener 25+ Jahre Erhöhungen, Dividend Yield vs Growth Matrix (D3.js Scatter Plot), Payout Ratio Safety Analyzer, Dividend Growth Rate Calculator CAGR, Forward Dividend Income Projector 10 Jahre (ApexCharts), Dividend Calendar Zahlungstermine (D3.js Timeline), DRIP Reinvestment Impact Calculator, Sector Diversification Dividends, International Dividend Stocks Withholding Tax, Dividend Tax Treatment Deutschland Teilfreistellung, Dividend Safety Score Composite, Yield on Cost Tracker, Monthly Dividend Income Builder, GSAP Dividend Payment Animations - USE CASE: Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus\n\n14. **#14** — baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Crypto Holdings Tracker BTC/ETH/Altcoins mit Live-Preisen Mock-API, Portfolio Allocation Pie Chart (ApexCharts), Volatility Tracker 30-Day Rolling (ApexCharts Candlestick), Crypto Correlation Matrix (D3.js Heatmap), Bitcoin Dominance Indicator, DCA Dollar-Cost-Averaging Calculator, Tax-Loss Harvesting Crypto Deutschland, Cold Wallet Allocation Empfehlung, Crypto Risk Score Volatility-Based, Altcoin Exposure Warnings, Stablecoin Reserve Optimizer, Crypto Fear & Greed Index Display, Blockchain Transaction Visualizer (D3.js Network), GSAP Price Change Animations - USE CASE: Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization\n\n15. **#15** — erstelle einen DVAG Anleihen-Portfolio-Manager Professional - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bond Ladder Visualizer 1-30 Jahre Laufzeiten (D3.js Gantt), Yield-to-Maturity Calculator, Duration & Convexity Analyzer, Interest Rate Risk Simulator Rising/Falling Rates, Credit Rating Breakdown AAA bis Junk (ApexCharts Stacked Bar), Municipal Bonds Tax-Equivalent Yield, Corporate Bonds vs Government Bonds Spread, Inflation-Protected TIPS Calculator, Callable Bonds Risk Analyzer, Bond Allocation nach Alter Glide Path, Coupon Payment Calendar, Bond Fund vs Individual Bonds Comparison, GSAP Bond Maturity Animations - USE CASE: Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield\n\n16. **#16** — entwickle ein DVAG Alternative-Investments-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alternative Assets Tracker Gold/Commodities/Art/Wine/Collectibles, Real Estate Crowdfunding Portfolio, Private Equity Holdings, Peer-to-Peer Lending Returns, Correlation zu Traditional Assets (D3.js Heatmap), Liquidity Risk Analyzer Lock-Up Periods, Alternative Investment Allocation 5-20% Portfolio, Inflation Hedge Calculator Gold/Commodities, Vintage Performance Tracker Wine Investment, NFT Portfolio Tracker optional, Hedge Fund Allocation, Venture Capital Exposure, GSAP Alternative Asset Animations - USE CASE: Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio\n\n17. **#17** — programmiere einen DVAG Faktor-Investing-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Factor Exposure Analyzer Value/Growth/Momentum/Quality/Low Volatility/Size, Faktor-Prämien Historical Returns (ApexCharts Multi-Line), Portfolio Factor Loading (D3.js Radar Chart), Factor Timing Indicators, Multi-Factor Portfolio Builder, Factor Correlation Matrix, Smart Beta ETF Selector, Factor Concentration Risk, Value Spread Indicator günstig vs teuer, Momentum Ranking System, Quality Score Composite, Size Premium Small vs Large Cap, GSAP Factor Visualization Animations - USE CASE: Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns\n\n18. **#18** — baue ein DVAG Rebalancing-Planner mit Tax-Optimization - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Target Allocation Comparison (ApexCharts Radar), Drift Analyzer wie weit von Target (D3.js Bar Chart Deviation), Rebalancing Trade Calculator minimale Trades, Tax-Lot Optimizer Highest Cost Basis zuerst, Wash Sale Rule Checker, Capital Gains Impact Estimator Short vs Long-Term, Rebalancing Frequency Optimizer, Threshold-Based Rebalancing 5%/10%/20% Bands, Cash Flow Rebalancing mit neuen Beiträgen, Asset Location Optimizer Taxable vs Tax-Deferred, Transaction Cost Minimizer, Rebalancing History Tracker, GSAP Trade Animations - USE CASE: Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing\n\n19. **#19** — erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: DCA vs Lump Sum Comparison Historisch (ApexCharts Line Chart), Monte Carlo Simulation 1000 Runs (D3.js Distribution), Volatility Impact auf DCA, DCA Schedule Optimizer monatlich/wöchentlich/täglich, Market Timing Failure Visualizer, Bear Market DCA Advantage, Psychological Benefit Score DCA, Automated Investment Plan Builder, Cost Basis Tracking, DCA Performance verschiedene Assets, Scenario Planner Bull/Bear/Sideways Market, Historical Backtest S&P500 40 Jahre, GSAP DCA Purchase Animations - USE CASE: Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren\n\n20. **#20** — entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historical Factor Performance 1930-2024 (ApexCharts Multi-Line), Value Premium Tracker HML High-Minus-Low, Size Premium SMB Small-Minus-Big, Momentum Premium UMD Up-Minus-Down, Quality Premium RMW Robust-Minus-Weak, Factor Drawdown Analysis, Factor Cyclicality Bull vs Bear Markets, Multi-Factor Portfolio Backtester, Sharpe Ratio Comparison Factors, Factor Regression Analyzer, Long Dry Spells Identifier Value Lost Decade, Factor Diversification Benefit, GSAP Historical Chart Animations - USE CASE: Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data\n\n## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE\n\n21. **#21** — erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Human Life Value Calculator Einkommen kapitalisiert, DIME Method Debt/Income/Mortgage/Education, Needs-Based Analysis Family Income Replacement, Term Life vs Whole Life Comparison (ApexCharts Bar Chart), Laddering Strategy Visualizer 10/20/30 Jahre (D3.js Timeline), Premium Calculator Alter/Gesundheit/Betrag, Benefit Calculator Todesfall-Summe, Mortgage Protection Analyzer, Children Education Fund Bedarf, Final Expenses Bestattung, Income Replacement Duration bis Rente, Inflation Adjuster Kaufkraft, Coverage Gap Identifier Unterversicherung, GSAP Insurance Needs Animations - USE CASE: Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance\n\n22. **#22** — entwickle einen DVAG Berufsunfähigkeits-Rechner Professional - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: BU-Renten-Bedarf Calculator 60-80% Nettoeinkommen, Versorgungslücken-Analyse gesetzlich vs privat, Berufsgruppen-Risiko-Bewertung (D3.js Risk Matrix), Leistungsdauer bis 67 Jahre, Dynamik-Option Inflation Protection, Prämien-Vergleich mit/ohne Dynamik (ApexCharts), Abstract vs Konkrete Verweisung Impact, Gesundheitsfragen-Simulator, Ausschlüsse & Einschränkungen Visualizer, Wartezeit & Karenzzeit Erklärer, BU-Rente steuerliche Behandlung, Nachversicherungsgarantie Wert-Rechner, GSAP Risk Animations - USE CASE: Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung\n\n23. **#23** — programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: PKV vs GKV Lifetime Cost Comparison (ApexCharts Line Chart), Einkommensschwelle Wechsel PKV 66.600€, Familienplanung Impact Kinder GKV kostenlos, Selbstbehalt-Optimizer 300€ bis 2000€, Beitragsrückerstattung Calculator, Altersrückstellungen PKV Visualizer, Beitragsentwicklung Prognose 40 Jahre, Leistungsvergleich Einzelzimmer/Chefarzt, Zusatzversicherungen Bedarf Zahn/Brille/Heilpraktiker, Auslandsreise-Krankenversicherung, Pflegepflichtversicherung, Wechsel-Szenarien zurück in GKV, GSAP Comparison Animations - USE CASE: Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung\n\n24. **#24** — baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassische Rentenversicherung vs Fondsgebundene Comparison, Garantiezins Impact 0.25% aktuell, Überschussbeteiligung Historical, Fondspolice Performance-Szenarien 4%/6%/8% (ApexCharts), Kosten-Transparenz Effektivkosten, Ablaufleistung Calculator, Lebenslange Rente vs Kapital-Option, Dynamik-Option bei Rentenpolicen, Hinterbliebenenschutz Rentengarantiezeit, Berufsunfähigkeits-Zusatzversicherung in Police, Steuerliche Behandlung Ertragsanteil, Riester/Rürup Integration möglich, GSAP Renten-Animations - USE CASE: Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz\n\n25. **#25** — erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rechtsschutz-Bereiche Checker Privat/Beruf/Verkehr/Wohnen/Steuer, Risiko-Assessment nach Lebenssituation (D3.js Risk Matrix), Selbstbeteiligung-Optimizer 150€ bis 500€, Deckungssummen-Empfehlung, Wartezeit-Erklärer 3 Monate, Leistungsausschlüsse Visualizer, Mediation-Option, Strafrechtsschutz Verkehr, Arbeitsrechtsschutz Kündigung, Mietrechtsschutz Vermieter/Mieter, Steuerrechtsschutz Finanzamt, Familienrechtsschutz, GSAP Rechtsbereich Animations - USE CASE: Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang\n\n26. **#26** — entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Hausrat-Wert-Ermittlung Pauschal 650€/m², Einzelbewertung Möbel/Elektronik/Schmuck/Kunst, Unterversicherung-Risiko Visualizer (ApexCharts Gauge), Versicherungssummen-Empfehlung, Wertsachen-Grenze 20% Standard, Fahrrad-Diebstahl Nachts draußen, Elementarschaden-Zusatz Hochwasser/Starkregen, Glasbruch-Versicherung, Grobe Fahrlässigkeit Mitversichert, Neuwert vs Zeitwert Erstattung, Hausrat im Ausland Urlaub, Prämien-Vergleich verschiedene Summen, GSAP Value Counter Animations - USE CASE: Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme\n\n27. **#27** — programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadenfreiheitsklasse-Tracker SF 0 bis SF 35, Selbstbeteiligung-Optimizer Vollkasko/Teilkasko (ApexCharts Break-Even), Rabatt-Maximizer Garage/Wenigfahrer/Partner, Schadenfreiheitsrabatt-Retter bei Schaden, Typklasse & Regionalklasse Info, Neuwert-Entschädigung GAP-Versicherung, Werkstattbindung Rabatt vs Flexibilität, Mallorca-Police Ausland, Fahrerschutz-Versicherung, Telematik-Tarife Score-Based, Versicherungswechsel-Timing Stichtag 30.11., Prämien-Entwicklung Projection (D3.js), GSAP Car Animations - USE CASE: Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl\n\n28. **#28** — baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflegegrad-Erklärer 1 bis 5, Pflegekosten-Rechner Heim vs Ambulant (ApexCharts Stacked Bar), Pflegelücke gesetzlich vs privat, Tagegeld-Bedarfsermittlung, Pflege-Bahr geförderte Versicherung, Dynamik-Option Leistungsanpassung, Wartezeit 5 Jahre Standard, Leistung bei Demenz, Assistance-Leistungen Organisation, Einmalzahlung bei Pflegefall, Pflege-Rente lebenslang, Angehörigen-Pflege Unterstützung, GSAP Pflege-Level Animations - USE CASE: Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt\n\n29. **#29** — erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Laddering Strategy Builder 3-5 Policen (D3.js Timeline), Bedarf-Reduktion über Zeit Hypothek abbezahlt/Kinder erwachsen, Premium-Optimizer gestaffelte Laufzeiten billiger, Coverage Amount pro Stufe Calculator, Term Length Optimizer 10/15/20/25/30 Jahre, Gesamt-Prämie Laddering vs Single Policy (ApexCharts), Return of Premium Option Kosten, Convertibility Option zu Whole Life, Contestability Period 2 Jahre, Suicide Clause, Medical Exam vs No-Exam Policies, Laddering Visualization interactive (D3.js), GSAP Ladder Animations - USE CASE: Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung\n\n30. **#30** — entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Versicherungen Übersicht Leben/BU/Kranken/Haftpflicht/Hausrat/Kfz/Rechtsschutz, Prämien-Summe monatlich/jährlich (ApexCharts Pie Chart Anteil), Coverage Gaps Identifier Unterversicherung, Overlap Detector Doppelversicherung, Versicherungs-Optimierungspotenzial, Policen-Ablauf Kalender wichtige Termine, Schadenfall-Melde-Assistent, Vertrags-Dokumente Vault, Beneficiary Management Begünstigte, Insurance Score Gesamtbewertung, Cost-Benefit Ratio Calculator, Versicherungs-Checkliste Lebensphase, GSAP Portfolio Animations - USE CASE: Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten\n\n## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG\n\n31. **#31** — erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Annuitäten-Darlehen Calculator Zinssatz/Tilgung/Laufzeit, Tilgungsplan-Visualizer 30 Jahre Monat für Monat (D3.js), Forward-Darlehen Planer Zinsbindung 5/10/15/20 Jahre, Sondertilgungs-Impact Simulator jährlich 5%, Anschlussfinanzierungs-Rechner nach Zinsbindung, Eigenkapital-Optimizer 10% bis 30%, Nebenkosten-Rechner Notar/Grunderwerbsteuer/Makler, Haushaltsrechnung Belastungsgrenze 40% Netto, Förderkredit KfW-Darlehen Integration, Kaufpreis vs Miete Comparison 30 Jahre (ApexCharts), Wertsteigerung Immobilie Projection, GSAP Loan Amortization Animations - USE CASE: Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent\n\n32. **#32** — entwickle einen DVAG Mietrendite-Calculator Buy-to-Let - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Mietrendite Calculator Jahresnettokaltmiete/Kaufpreis, Netto-Mietrendite nach Kosten Hausgeld/Instandhaltung/Verwaltung, Eigenkapitalrendite mit Fremdfinanzierung Leverage, Cashflow-Rechner monatlich (ApexCharts Waterfall), Cap Rate Calculator, Cash-on-Cash Return, Loan-to-Value Ratio, Vacancy Rate Impact 5-10%, Property Management Kosten, Maintenance Reserve 1% Kaufpreis jährlich, Property Tax Grundsteuer, Rental Income Growth 2% jährlich, GSAP Rendite Animations - USE CASE: Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten\n\n33. **#33** — programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichswertverfahren Rechner ähnliche Objekte, Ertragswertverfahren Vermietete Objekte Kapitalisierung, Sachwertverfahren Substanzwert, Lage-Bewertungs-Matrix Mikro/Makro-Lage (D3.js Heatmap), Ausstattungs-Score Standard/Gehoben/Luxus, Zustand-Bewertung Modernisierungsbedarf, Grundstücks-Bewertung Bodenrichtwert, Marktwert-Ermittlung nach WertV, Verkehrswert-Gutachten Simulator, Wertsteigerungspotenzial Prognose, Objektvergleich Side-by-Side bis 5 Immobilien, GSAP Valuation Animations - USE CASE: Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert\n\n34. **#34** — baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zinsbindungs-Strategie Chooser 5/10/15/20/25/30 Jahre, Variable vs Fixed Rate Comparison, Split-Strategie 50% fix + 50% variabel, Forward-Darlehen Timing Optimizer, Zinsentwicklungs-Szenarien steigend/fallend/konstant (ApexCharts), Restschuld-Entwicklung verschiedene Strategien (D3.js Multi-Line), Sondertilgungs-Rechte 5-10% jährlich, Volltilger-Darlehen Laufzeit-Reduktion, KfW-Förderkredite kombinieren, Bereitstellungszins-Vermeidung, Vorfälligkeitsentschädigung Calculator bei Kündigung, GSAP Strategy Comparison Animations - USE CASE: Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz\n\n35. **#35** — erstelle ein DVAG Immobilien-Investment-Analyzer ROI - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: ROI Calculator Return on Investment Total, IRR Internal Rate of Return Calculation, NPV Net Present Value Discounted Cashflows, Payback Period Calculator, Equity Multiple Rechner, Total Return inkl. Wertsteigerung + Cashflow (ApexCharts), Tax Benefits Abschreibung AfA 2-3% jährlich, Leverage Impact 80% Fremdfinanzierung, Exit Strategy Analyzer Verkauf nach 10/15/20 Jahren, Market Appreciation verschiedene Szenarien 2-5%, Inflation Impact Real Returns, Opportunity Cost vs Aktien ETF Comparison, GSAP ROI Animations - USE CASE: Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits\n\n36. **#36** — entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kaufen vs Mieten 30-Jahre-Vergleich Total Cost (ApexCharts Line Chart), Opportunity Cost Calculator Eigenkapital in ETF investiert, Maintenance Cost Eigenheim 1% jährlich, Property Tax vs keine bei Miete, Transaction Costs Kauf/Verkauf Notar/Makler, Mobility Flexibility Score Miete höher, Forced Savings Eigenheim, Leverage Benefit Eigenkapital-Rendite, Home Equity Build-up (D3.js Area Chart), Rent vs Buy Break-Even Point, Market Scenarios Immobilienpreise steigen/fallen, Emotional Benefits Eigenheim, GSAP Comparison Animations - USE CASE: Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete\n\n37. **#37** — programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundstückskosten Budget, Baukosten Quadratmeterpreis 1500-3000€, Baunebenkosten 15-20% Architekt/Statiker/Bauantrag, Außenanlagen Garten/Einfahrt/Zaun, Eigenleistung-Kalkulator Muskelhypothek, Kostenpuffer 10-15% Unvorhergesehenes, Finanzierungskosten während Bauphase Bereitstellungszins, Förderung KfW 40/40+ Zuschüsse, Bauzeit-Planer Monate bis Fertigstellung (D3.js Gantt Chart), Zahlungsplan nach Baufortschritt, Abnahme-Kosten Gutachter, Innenausstattung Küche/Bäder, GSAP Budget Build-up Animations - USE CASE: Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung\n\n38. **#38** — baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Property Dashboard alle Immobilien (D3.js Map Locations), Portfolio Performance ROI/Cashflow gesamt, Loan-to-Value Ratio Portfolio, Diversifikation Score Geographic/Property Type, Total Equity Build-up alle Properties, Vacancy Rates Tracking, Maintenance Issues Tracker, Tenant Management pro Property, Rental Income Streams (ApexCharts Stacked Area), Property Appreciation Timeline, Debt Service Coverage Ratio, Portfolio Rebalancing Recommendations Verkauf/Kauf, GSAP Multi-Property Animations - USE CASE: Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral\n\n39. **#39** — erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Renovierungs-Maßnahmen ROI Küche/Bad/Dach/Fenster/Heizung, Cost vs Value Report verschiedene Projekte (ApexCharts Bar Chart), Wertsteigerung Percentage pro Maßnahme, Energy Efficiency Upgrades KfW-Förderung, Curb Appeal Projects Vorgarten/Fassade, Kitchen Remodel ROI 60-80%, Bathroom Remodel ROI 50-70%, Roof Replacement ROI, HVAC System Upgrade, Window Replacement Energy Savings, Prioritization Matrix Impact vs Cost (D3.js Scatter), Financing Options Modernisierungskredit, GSAP Renovation Animations - USE CASE: Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI\n\n40. **#40** — entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Refinancing Calculator neuer Zins vs aktuell, Break-Even Point Refinanzierung-Kosten vs Savings (ApexCharts), Vorfälligkeitsentschädigung Calculator bei vorzeitiger Ablösung, Cash-Out Refinancing Option Equity herausnehmen, Rate-and-Term Refinancing, Interest-Only to Principal-Interest Switch, ARM to Fixed Rate Conversion, Loan Term Reduction 30 zu 15 Jahre, Closing Costs Estimate Notar/Grundbuch, Monthly Payment Reduction (D3.js Comparison), Lifetime Interest Savings, Market Timing Zinsentwicklung, GSAP Refinancing Animations - USE CASE: Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung\n\n## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM\n\n41. **#41** — erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kunden-Datenbank sortable/filterable/searchable, Contact Management Telefon/Email/Adresse, Kundenlebenszyklus-Status Interessent/Neukunde/Bestandskunde/Inaktiv (D3.js Funnel), Produktbesitz-Matrix Kunde x Produkte, Cross-Sell Opportunities Identifier, Nächste Kontakt-Termine Kalender, Geburtstags-Reminder, Vertragsablauf-Alerts, Notes & Communication History, Customer Lifetime Value Berechnung, Kundensegmentierung ABC-Analyse, Referral Tracking Empfehlungen, GSAP CRM Animations - USE CASE: DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up\n\n42. **#42** — entwickle einen DVAG Provisions-Tracker mit Forecasting - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Provisions-Dashboard monatlich/quartalsweise/jährlich (ApexCharts Column Chart), Produktarten-Mix Lebensversicherung/BU/Fonds/Immobilien, Bestands-Provisionen vs Abschluss-Provisionen, Provisions-Forecast basierend auf Pipeline, Commission Structure Visualizer Staffelung nach Volumen, YTD Year-to-Date Tracking, Quota Attainment Prozent vom Ziel, Leaderboard Ranking im Team, Top Producers Analyse, Revenue per Client Calculation, Churn Rate Impact auf Bestandsprovisionen, Seasonal Patterns Heatmap (D3.js), GSAP Commission Counter Animations - USE CASE: DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix\n\n43. **#43** — programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kalender-Ansicht Tag/Woche/Monat, Termin-Buchung mit Kundenauswahl, Termin-Typen Erstgespräch/Beratung/Jahresgespräch/Vertragsabschluss, Zeitslot-Blocker für Admin-Zeit, Erinnerungs-System 24h/1h vor Termin, No-Show Tracking, Doppelbuchung-Prevention, Travel Time Calculator zwischen Terminen, Kundenwunsch-Zeitfenster, Meeting Notes Attachment, Follow-up Task Creation nach Termin, Google Calendar Sync Mock, GSAP Calendar Animations - USE CASE: DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung\n\n44. **#44** — baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sales Funnel Visualizer Leads/Qualifiziert/Proposal/Negotiation/Closed (D3.js Funnel Chart), Conversion Rates pro Stage, Deal Value in Pipeline Total, Weighted Pipeline Wahrscheinlichkeit × Wert, Average Sales Cycle Tage von Lead zu Close, Win Rate Calculator Abschlussquote, Lead Source Tracking Empfehlung/Kaltakquise/Event/Online, Pipeline Velocity wie schnell Deals durchlaufen, Lost Reasons Analysis warum verloren, Sales Activities Calls/Meetings/Proposals, Top Deals highlighting, Pipeline Health Score, GSAP Funnel Animations - USE CASE: DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline\n\n45. **#45** — erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dokumenten-Upload Verträge/Ausweise/Einkommensnachweise, Dokumenten-Kategorisierung Versicherung/Investment/Steuer/Immobilien, Verschlüsselung Mock Sicherheit, Versions-Kontrolle Dokumente, Ablaufdatum-Tracking Ausweisdokumente, OCR Mock Text-Extraktion, Volltextsuche in Dokumenten, Sharing-Links zeitlich begrenzt, Audit Trail wer hat wann zugegriffen, Storage Quota Visualizer (ApexCharts Gauge), Backup & Export Funktion, Compliance DSGVO-konform, GSAP Document Upload Animations - USE CASE: DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen\n\n46. **#46** — entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Communication Timeline alle Touchpoints Telefon/Email/SMS/WhatsApp/persönlich (D3.js Timeline), Kontakt-Frequenz Tracking, Last Contact Date Reminder, Communication Preferences Kunde bevorzugt Email/Telefon, Email Template Library, SMS Bulk-Versand Geburtstage, WhatsApp Business Integration Mock, Call Notes pro Gespräch, Email Open/Click Tracking Mock, Response Time Analyzer, Follow-up Reminder Engine, Communication Volume Heatmap (D3.js), GSAP Message Animations - USE CASE: DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle\n\n47. **#47** — programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Beratungsprotokoll-Generator nach §34f GewO, Compliance-Checkliste alle Pflichtangaben, Risikoklassen-Ermittlung Kunde, Geeignetheits-Prüfung Produkt vs Kunde Match, Beratungsnachweis-PDF automatisch, Dokumentationspflicht-Erfüller, Haftungsrisiko-Minimizer, Widerrufsbelehrung Generator, Produktinformationsblatt Attachment, Vergütung-Offenlegung Pflicht, Beratungsfehler-Vermeidung, Quality Score pro Beratung (ApexCharts Radar), GSAP Compliance Animations - USE CASE: DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation\n\n48. **#48** — baue ein DVAG Berater-Performance-Dashboard Analytics - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Dashboard Abschlüsse/Umsatz/Neukundenrate/Cross-Sell-Quote, Monatliche Performance Trends (ApexCharts Line Charts), Ziel vs Ist Comparison, Product Mix Analysis Diversifikation, Customer Acquisition Cost Calculator, Customer Lifetime Value, Retention Rate Bestandskunden, Referral Rate Empfehlungsquote, Activities Metrics Calls/Meetings/Proposals pro Woche, Time Management Analyse produktive vs administrative Zeit, Peer Comparison anonymisiert, Growth Rate YoY Year-over-Year, GSAP KPI Counter Animations - USE CASE: DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance\n\n49. **#49** — erstelle ein DVAG Lead-Scoring-System Priorisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead Scoring Model demografisch/verhaltensbezogen/firmografisch, Score Calculation 0-100 Punkte, Lead Grade A/B/C/D basierend auf Score (D3.js Scatter Plot Score vs Engagement), Behavioral Signals Website-Besuche/Email-Opens/Content-Downloads, Demographic Factors Alter/Einkommen/Familie, Firmographic Factors Branche/Unternehmensgröße bei B2B, Engagement Level Interaktionen, Buying Intent Signals, Negative Scoring Disqualifiers, Lead Source Quality Rating, Automated Lead Assignment basierend auf Score, Lead Nurturing Recommendations, GSAP Lead Score Animations - USE CASE: DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads\n\n50. **#50** — entwickle einen DVAG Berater-Academy-Progress-Tracker Training - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainings-Fortschritt Dashboard alle Kurse, Skill-Bewertung Radar Chart (ApexCharts) Produkte/Compliance/Sales/Soft Skills, Zertifikate Tracker IHK/Sachkundenachweise, Weiterbildungs-Pflicht 15h jährlich, Learning Path Visualizer vom Einstieg zum Senior Berater (D3.js Tree), Quiz-Scores Wissensüberprüfung, Video-Trainings Completed, Peer Learning Studiengruppen, Mentorship Program Match, Career Progression Timeline, Next Certification Reminder, CPE Continuing Professional Education Tracker, GSAP Learning Animations - USE CASE: DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team\n\n## Kategorie 6: STEUER & RECHT TOOLS\n\n51. **#51** — erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Netto-Rechner Lohnsteuer/Soli/Kirchensteuer, Steuerklassen 1-6 Auswahl, Progressionsvorbehalt Visualizer (ApexCharts Stacked Area), Grenzsteuersatz vs Durchschnittssteuersatz, Kalte Progression Impact Inflation, Abzugsfähige Kosten Werbungskosten/Sonderausgaben/außergewöhnliche Belastungen, Steuerfreibeträge Grundfreibetrag/Kinderfreibetrag/Sparerpauschbetrag, Solidaritätszuschlag 5.5% ab 2021 Grenze, Kirchensteuer 8-9% je Bundesland, Steuererstattung Calculator, Jahressteuererklärung Simulator, Tax Bracket Visualizer (D3.js), GSAP Tax Calculation Animations - USE CASE: Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge\n\n52. **#52** — entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Abgeltungsteuer 25% + Soli 5.5% = 26.375%, Sparerpauschbetrag 1000€ Single / 2000€ Married, Freistellungsauftrag Manager mehrere Banken, Günstigerprüfung wenn persönlicher Steuersatz < 25%, Teilfreistellung Aktienfonds 30% / Mischfonds 15% / Immobilienfonds 60%, Kirchensteuer auf Kapitalerträge, Quellensteuer Ausland anrechenbar, Verlustverrechnung Aktien/Sonstige, Verlustverrechnungstopf Carry-Forward, Zinsen/Dividenden/Kursgewinne separate Töpfe, Tax-Loss Harvesting Strategie, Steueroptimierung Thesaurierend vs Ausschüttend ETF (ApexCharts), GSAP Tax Optimization Animations - USE CASE: Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal\n\n53. **#53** — programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbschaftsteuer-Calculator nach Verwandtschaftsgrad, Freibeträge Ehepartner 500k / Kinder 400k / Enkel 200k / Geschwister 20k, Steuerklassen I/II/III unterschiedliche Sätze (ApexCharts Bar Chart), Stufentarif 7% bis 50%, Selbstgenutzte Immobilie steuerfrei Ehepartner/Kinder unter Bedingungen, 10-Jahres-Regel mehrfache Schenkungen, Nießbrauch-Rechner Wert-Minderung, Kettenschenkung Optimierung Eltern→Kinder→Enkel, Berliner Testament Steuernachteil, Günstigere Varianten Vermögen verteilen, Erbschaftsteuer-Optimierungs-Strategien (D3.js Flow), GSAP Inheritance Animations - USE CASE: Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung\n\n54. **#54** — baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schenkungsteuer identisch mit Erbschaftsteuer Freibeträge/Sätze, 10-Jahres-Frist-Tracker Freibeträge alle 10 Jahre erneut, Schenkungsplan-Optimizer Vermögensübertragung über 30 Jahre (D3.js Timeline), Kettenschenkung Eltern→Kinder→Enkel doppelte Freibeträge, Nießbrauch-Vorbehalt Schenkung mit Nutzungsrecht, Wohnrecht-Eintragung Immobilienschenkung, Rückforderungsvorbehalt wenn Beschenkter vorverstirbt, Schenkung unter Auflage Pflege im Alter, Gemischte Schenkung Teil entgeltlich, Taggenaue Berechnung 10-Jahres-Frist, Steuerersparnis-Visualizer Schenkung vs Erbe (ApexCharts), GSAP Gift Planning Animations - USE CASE: Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie\n\n55. **#55** — erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: VL-Betrag Arbeitgeber max 40€/Monat, Arbeitnehmersparzulage 20% auf Aktien-VL (max 400€ VL → 80€ Zulage), Einkommensgrenzen Ledige 40.000€ / Verheiratete 80.000€, VL-Anlagemöglichkeiten Bausparvertrag/Aktien-Fondssparplan/Banksparplan, Sperrfrist 7 Jahre, VL-Fondssparplan Rendite-Projektion (ApexCharts Line Chart), Arbeitgeberzuschuss + Sparzulage + Rendite = Total Benefit, VL vs selbst sparen Comparison, Steuerfreie Einzahlung des Arbeitgebers, Zulageantrag automatisch vs manuell, VL-Rechner verschiedene Szenarien (D3.js), GSAP VL Animations - USE CASE: Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat\n\n56. **#56** — entwickle einen DVAG Riester-Renten-Rechner Förderquote - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Riester-Zulagen Grundzulage 175€/Jahr + Kinderzulage 300€/Kind, Mindesteigenbeitrag 4% Bruttoeinkommen minus Zulagen, Sockelbeitrag 60€/Jahr Minimum, Steuerliche Förderung Sonderausgabenabzug max 2100€, Günstigerprüfung Zulage vs Steuervorteil, Förderquote Calculator Zulagen/Eigenbeitrag, Riester-Produktvergleich Versicherung/Fondssparplan/Banksparplan/Wohn-Riester, Zulagenantrag Permanent-Zulagenantrag, Schädliche Verwendung Auszahlung vor Rente, Nachgelagerte Besteuerung Rentenbezug, Riester vs ETF-Sparplan Vergleich (ApexCharts), GSAP Riester Animations - USE CASE: Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen\n\n57. **#57** — programmiere ein DVAG Rürup-Renten-Rechner Selbständige - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rürup-Basisrente für Selbständige/Freiberufler, Steuerliche Absetzbarkeit 2024: 100% von max 27.566€ (Ledige) / 55.132€ (Verheiratete), Steuervorteil-Rechner nach persönlichem Steuersatz, Nachgelagerte Besteuerung in Rente, Rürup vs private Altersvorsorge Vergleich (ApexCharts), Kapitalwahlrecht nicht möglich nur lebenslange Rente, Hartz-IV-sicher Pfändungsschutz, Vererbung nicht möglich außer Hinterbliebenenrente, Zusatzbausteine BU/Hinterbliebenenabsicherung, Rürup-Produktvergleich Versicherung vs Fondssparplan, Rendite-Projektion (D3.js), GSAP Rürup Animations - USE CASE: Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis\n\n58. **#58** — baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: bAV-Durchführungswege Direktversicherung/Pensionskasse/Pensionsfonds/Direktzusage/Unterstützungskasse, Entgeltumwandlung Brutto zu bAV Steuer- und Sozialversicherungsfrei, Fördergrenze 2024: 8% BBG = 7.248€ sv-frei / 4% BBG darüber hinaus steuerfrei, Arbeitgeberzuschuss Pflicht 15% bei Sozialversicherungsersparnis, Steuerersparnis durch Bruttoumwandlung (ApexCharts Waterfall), Nachgelagerte Besteuerung + Krankenversicherung in Rente, Portabilität bei Arbeitgeberwechsel, Riester-Förderung zusätzlich möglich, bAV vs private Altersvorsorge Comparison, Unverfallbarkeit nach 3 Jahren, GSAP bAV Animations - USE CASE: Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung\n\n59. **#59** — erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Jahresendrallye Steueroptimierung November/Dezember, Sonderausgaben vorziehen Versicherungen/Spenden/Riester, Werbungskosten maximieren Arbeitszimmer/Fortbildung/Fachliteratur, Außergewöhnliche Belastungen Krankheitskosten/Pflegekosten, Handwerkerleistungen 20% abzugsfähig max 1200€, Haushaltsnahe Dienstleistungen 20% max 4000€, Verlustverrechnung realisieren Tax-Loss Harvesting, Abschreibungen Immobilien AfA, Investitionsabzugsbetrag Selbständige, Sonderabschreibung degressive AfA, Steueroptimierungs-Checkliste (D3.js Flow Diagram), Steuerersparnis-Potential Calculator (ApexCharts), GSAP Year-End Planning Animations - USE CASE: Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung\n\n60. **#60** — entwickle einen DVAG Steuererklärung-Assistent Deutschland - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Steuererklärung-Wizard Schritt-für-Schritt, Anlage N Einkünfte nichtselbständige Arbeit, Anlage KAP Kapitaleinkünfte, Anlage V Vermietung Verpachtung, Anlage AV Altersvorsorge Riester/Rürup, Werbungskosten-Pauschalen vs Einzelnachweis, Entfernungspauschale 30 Cent/km, Arbeitszimmer-Rechner, Verpflegungsmehraufwand Dienstreisen, Doppelte Haushaltsführung, Fortbildungskosten, Steuererstattung-Prognose (ApexCharts Gauge), ELSTER Mock-Export, Abgabefrist-Reminder 31.7., GSAP Form Fill Animations - USE CASE: Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung\n\n## Kategorie 7: ALTERSVORSORGE & RENTE\n\n61. **#61** — erstelle ein DVAG Rentenlücken-Rechner Deutschland - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesetzliche Rente Estimator basierend auf Entgeltpunkten, Rentenniveau aktuell 48% sinkt auf 43%, Versorgungslücke Current Lifestyle vs Gesetzliche Rente (ApexCharts Gap Chart), 3-Schichten-System gesetzlich/betrieblich/privat Visualizer (D3.js Stacked Area), Inflationsbereinigung Kaufkraft im Alter, Lebenserwartung Calculator Durchschnitt + 10 Jahre Sicherheit, Zusätzlicher Kapitalbedarf bis Lebensende, Sparrate-Berechnung um Lücke zu schließen, Rentenbeginn-Optimizer 63/65/67/70 Jahre Abschläge/Zuschläge, Teilrente in Kombi mit Teilzeit, Steuer auf Rente Ertragsanteil 2040: 100%, GSAP Gap Visualization Animations - USE CASE: Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar\n\n62. **#62** — entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schicht 1 Basisversorgung Gesetzliche Rente/Rürup, Schicht 2 Zusatzversorgung bAV/Riester, Schicht 3 Kapitalanlage private Renten/ETF/Immobilien, Gesamtrenten-Projektion alle Schichten (ApexCharts Stacked Column), Optimale Schichtung nach Steuersituation, Schicht-Priorisierung für verschiedene Berufsgruppen Angestellt/Beamte/Selbständig, Tax Treatment jeder Schicht in Anspar & Auszahlphase, Flexibilität Score Verfügbarkeit Kapital, Förderquoten-Vergleich Riester/Rürup/bAV, Diversifikation über Schichten (D3.js Sankey Flow), Asset Allocation Altersvorsorge, GSAP 3-Layer Animations - USE CASE: Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix\n\n63. **#63** — programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelaltersgrenze nach Geburtsjahrgang 65-67 Jahre, Früherer Rentenbeginn ab 63 mit Abschlägen 0.3% pro Monat, Rente mit 63 nach 45 Beitragsjahren ohne Abschlag, Späterer Rentenbeginn Zuschläge 0.5% pro Monat, Break-Even Analyse früh vs spät (ApexCharts Line Chart Crossover), Lebenserwartung Impact auf Break-Even, Gesundheitszustand-Faktor, Weiterarbeiten-Rentability neben Teilrente, Hinzuverdienst-Grenzen vor Regelaltersgrenze, Rentenbesteuerung unterschiedlich je Eintrittsalter, Optimaler Rentenbeginn Calculator (D3.js Decision Tree), GSAP Retirement Age Animations - USE CASE: Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit\n\n64. **#64** — baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 4% Rule Calculator Trinity Study, Variable Withdrawal Strategies Guyton-Klinger, Dynamic Spending Adjustments Market-Based, Withdrawal Rate Simulator 3%/4%/5% (ApexCharts Monte Carlo), Portfolio Longevity bis 95/100 Jahre, Sequence of Returns Risk Visualizer frühe Bear Markets (D3.js), Inflation-Adjusted Withdrawals 2-3%, Tax-Efficient Withdrawal Order Taxable/Tax-Deferred/Tax-Free, Required Minimum Distributions RMDs ab 73 Jahre, Social Security Timing Integration, Bucket Strategy Cash/Bonds/Stocks, Failure Rate Probability Portfolio Depletion, GSAP Withdrawal Animations - USE CASE: Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung\n\n65. **#65** — erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entgeltpunkte-Berechnung Brutto/Durchschnitt, Rentenwert aktuell 39.32€ (West) / 39.32€ (Ost) seit 2024, Rentenformel Entgeltpunkte × Zugangsfaktor × Rentenartfaktor × Rentenwert, Versicherungsverlauf Simulation Jahre, Durchschnittsentwicklung Gehälter, Rentenhöhe-Projektion (ApexCharts Column Chart), Rentenanpassung 1-2% jährlich, Mütterrente Kindererziehungszeiten, Erwerbsminderungsrente, Hinterbliebenenrente Witwen/Waisen, Rentenauskunft Checker, Deutsche Rentenversicherung Info-Integration, GSAP Pension Calculation Animations - USE CASE: Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt\n\n66. **#66** — entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Altersvorsorge-Produkte Matrix ETF/Riester/Rürup/bAV/private Rente/Immobilien, Rendite vs Sicherheit Scatter Plot (D3.js), Liquidität vs Rendite Trade-Off, Steuerliche Förderung Ranking, Kosten-Transparenz TER/Effektivkosten, Flexibilität Score Verfügbarkeit, Diversifikation über Produkttypen, Alters-Glide-Path 100-Alter Aktienquote, Rebalancing verschiedene Produkte, Risk-Adjusted Return Sharpe Ratio, Altersvorsorge-Empfehlung basierend auf Profil (ApexCharts Radar), GSAP Product Mix Animations - USE CASE: Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen\n\n67. **#67** — programmiere ein DVAG Pension-Gap-Analyzer Expatriates International - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sozialversicherungsabkommen Deutschland mit Ländern, Rentenansprüche mehrere Länder kombinieren, EU-Koordinierung Rentenansprüche, Pension Totalization Agreements USA/Canada/Australia, Versorgungslücke bei Auslandsaufenthalten, Private International Pension Solutions, Currency Risk Renten in anderer Währung, Tax Treatment Cross-Border Pensions DBA Doppelbesteuerungsabkommen, Gesetzliche Rente Export-Fähigkeit, Expat Retirement Strategies, Ländervergleich Rentensysteme (D3.js World Map), GSAP International Pension Animations - USE CASE: Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung\n\n68. **#68** — baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentenbesteuerung Gesetzliche Rente Besteuerungsanteil 2024: 83% steigt auf 100% bis 2040, Rentenfreibetrag einmalige Festsetzung bei Rentenbeginn, Altersentlastungsbetrag für andere Einkünfte im Alter, Grundfreibetrag 2024: 11.604€, Krankenversicherung Rentner KVdR, Pflegeversicherung Rentner, Steuerpflicht-Checker Rente über Grundfreibetrag, Private Rentenversicherung Ertragsanteilsbesteuerung je nach Rentenbeginn-Alter, Riester-Rente nachgelagerte Vollversteuerung, Rürup-Rente nachgelagerte Vollversteuerung, Nettorentenrechner nach Steuern (ApexCharts Waterfall), GSAP Tax on Pension Animations - USE CASE: Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen\n\n69. **#69** — erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundsicherung im Alter Bedarf 2024 ca. 950€/Monat, Altersarmut-Schwelle 60% Median-Einkommen, Risikogruppen Mini-Jobber/Selbständige ohne Altersvorsorge/Alleinerziehende/Langzeitarbeitslose, Erwerbsbiografie-Lücken Impact, Teilzeit-Arbeit Rentenauswirkungen, Gender Pension Gap Frauen, Scheidung Impact Versorgungsausgleich, Gesundheitskosten im Alter, Pflegekosten-Risiko, Altersarmut-Wahrscheinlichkeit Calculator (ApexCharts Gauge), Präventions-Maßnahmen Altersvorsorge aufbauen, GSAP Poverty Risk Animations - USE CASE: Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen\n\n70. **#70** — entwickle einen DVAG Renten-Splitting-Rechner Ehepaare - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentensplitting unter Ehegatten, Versorgungsausgleich bei Scheidung, Partner-Rente Hinterbliebenenversorgung, Witwenrente 55%/60% der Rente des Verstorbenen, Eigene Rente angerechnet auf Witwenrente, Freibetrag Witwenrente, Große vs Kleine Witwenrente, Rentenkürzung bei Wiederheirat, Splitting vs Witwenrente Comparison (ApexCharts), Erziehungszeiten Anrechnung, Rentenoptimierung Ehepaare Einzeln vs Gesamt, Tax Optimization Ehegatten-Splitting, GSAP Couple Pension Animations - USE CASE: Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien\n\n## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT\n\n71. **#71** — erstelle ein DVAG Konzern-Performance-Dashboard Executive - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Overview Umsatz/Neugeschäft/Bestand/Mitarbeiter, Regional Performance Deutschland-Karte (D3.js Geo Choropleth), Top Regions Ranking, Produktmix-Analyse Leben/BU/Fonds/Immobilien (ApexCharts Stacked Column), YoY Growth Rate Year-over-Year, Monthly Trends Charts, Berater-Produktivität Durchschnitt, Customer Acquisition Cost, Customer Lifetime Value, Churn Rate Bestandskunden, Market Share Visualizer, Strategic Goals vs Actuals (D3.js Bullet Charts), GSAP Executive Dashboard Animations - USE CASE: DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance\n\n72. **#72** — entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertriebs-Organisationen Hierarchie Visualizer (D3.js Org Chart), Team-Leaderboard Top Performers, Individual Performance Scorecards, Sales Targets vs Actuals, Commission Tracking pro Berater, Activity Metrics Calls/Meetings/Proposals, Conversion Rates Funnel, Cross-Sell Ratio, Retention Rate Team, Recruiting Success neue Berater, Training Completion Rate, Performance Distribution Histogram (ApexCharts), Team Collaboration Score, GSAP Team Performance Animations - USE CASE: Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse\n\n73. **#73** — programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Neugeschäft-Volumen Daily/Weekly/Monthly (ApexCharts Real-Time Line Chart), Produktarten-Split, Durchschnittliche Vertragssumme, Anzahl Abschlüsse, Top Berater Neugeschäft, Regional Distribution Neugeschäft (D3.js Map), Neugeschäft Forecast basierend auf Pipeline, Saisonalität-Analyse Heatmap, Campaign Performance Marketing-Kampagnen, Lead-to-Close Rate, Time-to-Close Average, New Business Quality Score, GSAP New Business Animations - USE CASE: DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg\n\n74. **#74** — baue ein DVAG Bestandsgeschäft-Analyzer Retention - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestandsvolumen Total nach Produktarten, Retention Rate jährlich (ApexCharts Line Chart), Churn Rate Kündigungen, Lapse Ratio Stornoquote, Premium Persistency Beitragstreue, Policy Persistency Vertragstreue, Storno-Gründe Analyse, At-Risk Customers Identifier Kündigungsrisiko, Bestandspflege-Aktivitäten, Cross-Sell Opportunities im Bestand, Policen-Erhöhungen Dynamik, Bestandsprovisionen Forecast, GSAP Retention Animations - USE CASE: DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification\n\n75. **#75** — erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Recruiting Funnel Leads/Interviews/Offers/Hires (D3.js Funnel), Conversion Rate pro Stage, Source of Hires Referrals/Events/Online/Ads, Time-to-Hire Average, Quality of Hire Metrics erste 12 Monate Performance, Retention New Hires 1-Jahres-Quote, Onboarding Completion Rate, Recruiter Productivity, Cost per Hire, Headcount Growth Netto-Wachstum (ApexCharts), Regional Recruiting Performance, Diversity Metrics, GSAP Recruiting Funnel Animations - USE CASE: DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting\n\n76. **#76** — entwickle einen DVAG Training-Effectiveness-Dashboard Academy - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Training Completion Rates alle Programme, Skill Development Tracking pre/post Tests, Certification Success Rate IHK/Sachkunde, Training ROI Performance nach Training, Course Ratings Feedback, Training Hours pro Berater, Compliance Training Mandatory, Product Knowledge Scores, Sales Skills Assessment, Soft Skills Development, Learning Path Completion (D3.js Sankey), Training Cost per Berater, GSAP Training Progress Animations - USE CASE: DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback\n\n77. **#77** — programmiere ein DVAG Customer-Satisfaction-Dashboard NPS - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Net Promoter Score NPS -100 bis +100, Customer Satisfaction Score CSAT, Customer Effort Score CES, Sentiment Analysis Reviews, Complaint Rate, Resolution Time Beschwerden, Survey Response Rate, NPS Trend über Zeit (ApexCharts Line Chart), NPS by Region/Product/Berater, Promoters vs Detractors Analysis, Feedback Themes Word Cloud (D3.js), Referral Rate aus Promoters, GSAP NPS Score Animations - USE CASE: DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse\n\n78. **#78** — baue ein DVAG Compliance-Dashboard Regulatory Monitoring - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Compliance-Rate Beratungsprotokolle 100% Ziel, Weiterbildungspflicht 15h erfüllt Berater-Quote, IHK-Zertifizierungen aktuell, Produktinformationsblätter vollständig, Datenschutz DSGVO Compliance, Geldwäsche-Prävention Schulungen, Beschwerdemanagement Response Times, Audit Findings offene vs geschlossene, Regulatory Changes Dashboard neue Gesetze (D3.js Timeline), Risk Score Compliance-Risiken (ApexCharts Gauge), Sanctions & Fines Tracking, GSAP Compliance Check Animations - USE CASE: DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation\n\n79. **#79** — erstelle ein DVAG Produkt-Performance-Dashboard Portfolio - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Produktportfolio-Übersicht Leben/BU/Kranken/Fonds/Immobilien, Sales Volume pro Produkt (ApexCharts Treemap), Profitability Margin pro Produkt, Product Life Cycle Stage Introduction/Growth/Maturity/Decline, Market Share Wettbewerb, Customer Satisfaction pro Produkt, Cross-Sell Affinity Matrix (D3.js Heatmap), Product Cannibalization Analysis, Portfolio Balance Risk/Return, New Product Launch Performance, Underperforming Products Identifier, GSAP Product Performance Animations - USE CASE: DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen\n\n80. **#80** — entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Marktanteile DVAG vs Wettbewerb Allianz/AXA/Zurich/SwissLife (ApexCharts Pie Chart), Competitive Positioning Matrix (D3.js Scatter Plot), Pricing Comparison Prämien/TER, Product Feature Comparison, Customer Acquisition Trends Markt, Digital Transformation Index Wettbewerber, Social Media Sentiment Analysis, Market Growth Rate gesamt, Regulatory Changes Impact auf Wettbewerb, Competitive Threats & Opportunities, Market Share Trends Historical (ApexCharts Area Chart), GSAP Market Intelligence Animations - USE CASE: DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren\n\n## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE\n\n81. **#81** — erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Verträge Übersicht Leben/BU/Kranken/Fonds/Immobilien, Vertragsstatus Aktiv/Ruhend/Gekündigt, Prämien-Übersicht monatlich/jährlich (ApexCharts Pie Chart), Versicherungssummen Total, Ablaufleistungen Projection, Vertrags-Details pro Police, Beitragsfreistellung Option, Policen-Erhöhung Nachversicherung, Vertragsänderungen Historie, Document Download Police/Jahresinformation, Schadenfall melden, Kontakt Berater Button, GSAP Portal Dashboard Animations - USE CASE: DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen\n\n82. **#82** — entwickle einen DVAG Fondspolice-Tracker Performance Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fondspolice-Guthaben aktuell, Fonds-Allocation Pie Chart (ApexCharts), Performance Charts 1/3/5/10 Jahre (D3.js Multi-Line), Einzahlungen vs Wertsteigerung, Cost Average Effect Visualization, Fondswechsel Self-Service Umschichtung, Dynamik-Option Beitragserhöhung, Zuzahlung einmalig, Kosten-Transparenz laufende Kosten, Ablaufleistung Projection (ApexCharts Area Chart), Steuerliche Behandlung Infos, Download Jahresbescheinigung, GSAP Fondspolice Animations - USE CASE: DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich\n\n83. **#83** — programmiere ein DVAG Schadensmeldung-Portal Digital - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadensmeldung-Formular Step-by-Step, Schadensart Auswahl Unfall/Krankheit/Kfz/Hausrat/Rechtsschutz, Upload Fotos/Belege/Gutachten, Schadennummer Tracking, Status-Verfolgung Eingegangen/Prüfung/Gutachten/Zahlung, Kommunikation mit Sachbearbeiter Chat, Zahlungsstatus Regulierung, Schadens-Historie alle vergangenen, Rückfragen-Management, Fristen-Reminder fehlende Unterlagen, Push Notifications Status-Updates, Durchschnittliche Bearbeitungszeit Info, GSAP Schadensmeldung Animations - USE CASE: DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess\n\n84. **#84** — baue ein DVAG Dokumenten-Center Self-Service Download - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Dokumente Übersicht Verträge/Jahresinformationen/Steuerbescheinigungen/Leistungsübersichten, Kategorisierung nach Dokumententyp, Zeitliche Sortierung, Suchfunktion Volltext, Download PDF einzeln/gesammelt, E-Signatur Vertragsänderungen, Postbox digitale Postbox statt Brief, Archivierung 10 Jahre gesetzlich, Upload eigene Dokumente Scans, Dokumenten-Sharing mit Berater, Neue Dokumente Notifications, Papierlos-Option, GSAP Document Download Animations - USE CASE: DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich\n\n85. **#85** — erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Beitragszahlungen Übersicht alle Verträge, Zahlungsrhythmus monatlich/quartalsweise/halbjährlich/jährlich, Bankverbindung ändern SEPA-Lastschrift, Zahlungshistorie, Zahlungsausfall-Alerts, Beitragsrückstände Mahnung, Ratenzahlung Rückstände, Beitragsanpassung Dynamik stoppen/aktivieren, Zahlungsmethode ändern Lastschrift/Überweisung, Beitragsfreistellung beantragen, Beitragszahlung aussetzen temporär, Rückforderung überzahlte Beiträge, GSAP Payment Management Animations - USE CASE: DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen\n\n86. **#86** — entwickle einen DVAG Termin-Buchung-Portal Self-Service - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Berater-Kalender Verfügbarkeit, Termin-Buchung Self-Service Datum/Uhrzeit, Terminart Beratung/Jahresgespräch/Vertragsabschluss, Video-Call vs Persönlich vs Telefon, Standort-Auswahl Geschäftsstelle/Kunde, Agenda-Setting Gesprächsthemen, Erinnerung 24h/1h vor Termin, Termin verschieben/absagen Self-Service, Berater-Profil Foto/Bio, Wartezeit-Info durchschnittlich, Meeting-Link Video-Call, Termin-Historie vergangene Gespräche, GSAP Booking Animations - USE CASE: DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand\n\n87. **#87** — programmiere ein DVAG Adress-Änderungs-Portal Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Adresse ändern alle Verträge auf einmal, Telefonnummer ändern, E-Mail-Adresse ändern, Familienstand ändern Heirat/Scheidung, Namensänderung nach Heirat, Kontopfändung melden, Bezugsrechtsänderung Begünstigte, Kinder hinzufügen Geburt, Kinder entfernen Volljährigkeit, Arbeitgeber-Wechsel melden, Änderungs-Historie, Bestätigung E-Mail, Automatische Aktualisierung aller Verträge, GSAP Address Change Animations - USE CASE: DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates\n\n88. **#88** — baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestehende Policen Upload/Import, Bedarfsanalyse-Fragebogen Lebenssituation, Coverage Gap Analysis Unterversicherung (ApexCharts Gap Chart), Overlap Detection Doppelversicherung, Optimierungspotenzial Prämien sparen, Produktempfehlungen basierend auf Gaps, Lebensphasen-Check Anpassungsbedarf, Risiko-Score aktueller Schutz (D3.js Gauge), Vergleich zu Empfehlung Soll vs Ist, Beratungstermin vorschlagen bei Gaps, PDF-Report Police-Check Ergebnis, Jährlicher Police-Check Reminder, GSAP Policy Check Animations - USE CASE: DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check\n\n89. **#89** — erstelle ein DVAG FAQ & Chatbot-Portal Self-Service - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FAQ-Kategorien Verträge/Schaden/Zahlung/Änderungen, Suchfunktion Freitext, Chatbot Mock Conversations häufige Fragen, Guided Navigation Decision Tree, Video-Tutorials How-To, Glossar Versicherungsbegriffe, Contact Escalation zu Berater bei komplexen Fragen, Kontaktformular, Telefon-Hotline Info, E-Mail Support, FAQ-Feedback hilfreich/nicht hilfreich, Popular Topics Trending, Chatbot-Analytics häufigste Fragen (ApexCharts), GSAP Chatbot Animations - USE CASE: DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot\n\n90. **#90** — entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budgetplaner Einnahmen/Ausgaben, Sparziel-Tracker Notgroschen/Urlaub/Auto, Rentenlücken-Rechner Self-Service, Immobilienfinanzierung-Rechner, Versicherungsbedarf-Calculator Leben/BU, Investment-Rechner ETF-Sparplan, Steuer-Rechner Brutto/Netto, Altersvorsorge-Planner 3 Schichten, Finanz-Ziele Priorisierung, Fortschritt-Tracking Goals, Beratungsempfehlung bei komplexen Zielen, PDF-Export Finanzplan, GSAP Financial Planning Animations - USE CASE: DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung\n\n## Kategorie 10: TRAINING & ONBOARDING APPS\n\n91. **#91** — erstelle ein DVAG Onboarding-Dashboard Neue Berater - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Onboarding-Progress Timeline 90 Tage (D3.js Gantt Chart), Pflicht-Trainings Checklist Produkte/Compliance/Sales/IT, Video-Kurse Completion Rate, Quiz-Scores Wissensüberprüfung, IHK-Prüfung Vorbereitung, Sachkundeprüfung §34f GewO, Mentorship Pairing, Buddy-System Support, First Sales Milestone 5 Abschlüsse, Certifications Earned Badges (ApexCharts Progress Bars), Manager Check-Ins Termine, Feedback Surveys, GSAP Onboarding Progress Animations - USE CASE: DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation\n\n92. **#92** — entwickle einen DVAG Produkt-Training-Simulator Interactive - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Produkt-Katalog alle DVAG-Produkte Leben/BU/Fonds/Immobilien, Interactive Product Explorer Features/Kosten/Zielgruppe, Vergleichs-Tool Produkte Side-by-Side, Sales Pitch Templates, Objection Handling Scenarios, Competitive Comparison Wettbewerb, Tarif-Rechner Integration, Produktwissen-Quiz pro Produkt, Zertifikate pro Produktkategorie, Best Practices Success Stories, Update-Notifications neue Produkte, Learning Path Produktspezialist (D3.js), GSAP Product Training Animations - USE CASE: DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator\n\n93. **#93** — programmiere ein DVAG Sales-Skills-Training Rollenspiele - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sales Methodology SPIN Selling/Challenger/Solution Selling, Rollenspiel-Szenarien Erstgespräch/Einwandbehandlung/Abschluss, Video-Recording Mock Pitches, Peer Feedback, Self-Assessment Rubrics, Sales Skills Radar Chart (ApexCharts) Rapport/Discovery/Presentation/Closing, Objection Library 50+ Einwände mit Antworten, Call Script Builder, Elevator Pitch Generator, Negotiation Tactics, Closing Techniques, Practice Score Tracking (D3.js), GSAP Sales Roleplay Animations - USE CASE: DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training\n\n94. **#94** — baue ein DVAG Compliance-Training-Platform Pflichtschulungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflichtschulungen Geldwäsche/Datenschutz/Beratungsprotokoll/Produktinformationspflicht, E-Learning Modules Video+Text+Quiz, Compliance-Quiz Bestehen 80% minimum, Zertifikate Completion, Jährliche Auffrischung 15h Pflicht, Regulatory Updates neue Gesetze, Best Practices Dos and Don'ts, Case Studies Compliance-Verstöße, Audit Preparation, Compliance Score Dashboard (ApexCharts Gauge), Non-Compliance Consequences, Refresher Training Reminder, GSAP Compliance Training Animations - USE CASE: DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen\n\n95. **#95** — erstelle ein DVAG Soft-Skills-Academy Kommunikation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kommunikations-Training Active Listening/Empathy/Questioning, Konfliktmanagement Deeskalation, Verhandlungsführung Win-Win, Präsentations-Skills, Body Language Decoder, Emotional Intelligence Assessment (ApexCharts Radar), Storytelling für Sales, Rapport Building Techniques, Trust Establishment, Customer Psychology, Cultural Sensitivity, Difficult Conversations Handling, Soft Skills Score Tracking (D3.js), Practice Exercises, GSAP Soft Skills Animations - USE CASE: DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation\n\n96. **#96** — entwickle einen DVAG Digital-Tools-Training IT-Skills - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: CRM-System Training DVAG-Software, Kunden-Portal Nutzung, Dokumenten-Management System, Video-Call Tools Zoom/Teams, E-Signature Plattform, Tablet-Präsentationen iPad-Apps, Social Selling LinkedIn/Xing, Digital Marketing Basics, Cybersecurity Awareness Phishing, DSGVO Digital, Productivity Tools Kalender/To-Do, IT-Support FAQ, Digital Fluency Score (ApexCharts), GSAP Digital Tools Animations - USE CASE: DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen\n\n97. **#97** — programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: IHK-Prüfung §34f GewO Lernmaterialien, Prüfungsinhalte Versicherungsprodukte/Recht/Steuern/Beratungspflichten, Übungsfragen 1000+ Fragen, Mock-Exams Prüfungssimulation, Zeitlimit 120 Minuten, Score Tracking Fortschritt (ApexCharts Line Chart), Schwachstellen-Analyse welche Themen üben (D3.js Heatmap), Lernplan 8 Wochen strukturiert, Video-Lektionen, Prüfungsangst-Tipps, Success Rate Statistik, Zertifikat Mock bei Bestehen, GSAP Exam Prep Animations - USE CASE: DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung\n\n98. **#98** — baue ein DVAG Berater-Mentorship-Plattform Peer Learning - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mentor-Matching Senior mit Junior Berater, Mentorship Goals Setting, Meeting-Scheduler regelmäßige Check-Ins, Knowledge Sharing Best Practices, Career Development Roadmap, Skill Gap Identification, Learning Resources Empfehlungen, Feedback 360° Mentor/Mentee, Success Stories Mentorship Impact, Mentorship Program Analytics (ApexCharts), Peer Learning Groups Studiengruppen, Community Forum Q&A, GSAP Mentorship Animations - USE CASE: DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt\n\n99. **#99** — erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Micro-Lessons 5-10 Minuten Video/Text/Quiz, Daily Learning Habit 15min täglich, Mobile-First Design Learning on the Go, Push Notifications Daily Lesson, Topics Library 500+ Lessons Produkte/Sales/Compliance/Soft Skills, Gamification Points/Badges/Leaderboard, Spaced Repetition Algorithm optimale Wiederholung, Learning Streaks Consecutive Days, Social Learning Share Progress, Completion Rate Tracking (ApexCharts), Personalized Learning Path AI-basiert, Offline Download Lessons, GSAP Micro Learning Animations - USE CASE: DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition\n\n100. **#100** — entwickle einen DVAG Skill-Assessment-Center 360° Evaluation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: 360° Feedback Self/Peers/Manager/Customers, Skill Assessment Radar Chart (ApexCharts) Produkte/Sales/Compliance/Soft Skills/Digital, Competency Framework DVAG-Standards, Performance Evaluation Quarterly, Development Plan basierend auf Gaps, Strength Finder Top Talents, Career Path Recommendation, Promotion Readiness Score, Skill Gap Prioritization, Training Recommendations personalisiert, Progress Tracking Over Time (D3.js Line Chart), Coaching Sessions Buchung, GSAP Assessment Animations - USE CASE: DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps\n\n## Hinweis\nQuelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).\n",
            "source": "dvag-100.md",
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            "title": "100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)",
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            "overview": "--- project: 100-ebook-kdp-complex-prompts category: Prompt-Bibliothek cluster: eBook / KDP Print-on-Demand tier: 1 rebuild_grade: N/A tech_stack: [CSS3, Kindle-HTML, Print-HTML, \"@page/@media-print\"] status: production-ready tags: [prompts, kdp, ebook, print-on-demand, css, book-design] --- # 100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600) ## Overview Batch 6 verlässt den HTML5-App-Korpus der vorherigen Batches und wendet dasselbe Prompt-Bibliothek-Prinzip auf die zweite Säule der Produktion an: KDP-Buchprojekte (Kindle Direct Publishing, Print-on-Demand). Jedes produzierte Buch entsteht im etablierten Zwei-Dateien-Workflow — `kindle-version.html` (reflowable EPUB/Kindle-HTML) und `print-version.html` (festes Trimformat, per Headless-Chrome zu PDF gerendert). Statt für jedes der 100 Buchkonzepte ein eigenes Stylesheet zu erfinden, liefert dieser Batch",
            "content": "---\nproject: 100-ebook-kdp-complex-prompts\ncategory: Prompt-Bibliothek\ncluster: eBook / KDP Print-on-Demand\ntier: 1\nrebuild_grade: N/A\ntech_stack: [CSS3, Kindle-HTML, Print-HTML, \"@page/@media-print\"]\nstatus: production-ready\ntags: [prompts, kdp, ebook, print-on-demand, css, book-design]\n---\n\n# 100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)\n\n## Overview\nBatch 6 verlässt den HTML5-App-Korpus der vorherigen Batches und wendet dasselbe Prompt-Bibliothek-Prinzip auf die zweite Säule der Produktion an: KDP-Buchprojekte (Kindle Direct Publishing, Print-on-Demand). Jedes produzierte Buch entsteht im etablierten Zwei-Dateien-Workflow — `kindle-version.html` (reflowable EPUB/Kindle-HTML) und `print-version.html` (festes Trimformat, per Headless-Chrome zu PDF gerendert). Statt für jedes der 100 Buchkonzepte ein eigenes Stylesheet zu erfinden, liefert dieser Batch zunächst eine kuratierte Bibliothek von 5 wiederverwendbaren CSS-Templates (Part A), auf die alle 100 Prompts (Part B, #501-#600, 10 Kategorien à 10) per Namen verweisen. Das hält die Produktion konsistent und reduziert CSS-Wildwuchs über die wachsende Buchreihe hinweg.\n\n## Part A — CSS-Template-Bibliothek\n\n### Bekannte Grenze: Seitenzahlen & Kolumnentitel\nBevor die Templates folgen, ein zentraler Hinweis, der für alle fünf gilt: Ein echtes KDP-Print-Interieur braucht fortlaufende Seitenzahlen (Folio) und häufig wechselnde lebende Kolumnentitel (z. B. links Autorenname, rechts Kapiteltitel). Das CSS-Paged-Media-Modul (`@page { @top-center { content: counter(page) } }` u. ä.) wird von spezialisierten Pagination-Engines wie **Paged.js**, **Prince** oder **WeasyPrint** korrekt umgesetzt — **nicht aber von Headless Chrome/Puppeteer**, das in dieser Produktionspipeline für das PDF-Rendering von `print-version.html` verwendet wird. Chrome ignoriert `@page`-Margin-Boxen für Zähler und Kolumnentitel weitgehend. Die fünf Templates unten liefern daher ausschließlich die optische Basis (Typografie, Umbrüche, Trim-Box, Bleed-Hinweise) für den Satzspiegel. Für produktionsreife Seitenzahlen/Kolumnentitel ist zusätzlich einer von zwei Wegen einzuplanen: (1) ein Paged.js-Rendering-Schritt statt/vor dem Chrome-Druck, oder (2) eine nachgelagerte Seitenzahlen-Injektion in das fertige PDF (z. B. via PDF-Bibliothek). Dieser Zusatzschritt ist bewusst **nicht** Teil dieser CSS-Dateien und muss pro Buchprojekt separat eingeplant werden.\n\n### CSS-TEMPLATE 1: FIKTION-ROMAN\nEinsatz: Belletristik, narrative Sachbücher/Biografien mit Fließtext-Charakter. Serifenschrift, Drop Cap, Kapitel-Umbrüche, Trimformat 5×8 Zoll.\n\n```css\n/* ============================================================\n   CSS-TEMPLATE: FIKTION-ROMAN\n   Einsatz: Kindle/EPUB (reflowable) + Print-PDF (fester Trimsize)\n   Trim Size Print: 5\" x 8\" (127mm x 203mm) — Standard-Taschenbuch\n   ------------------------------------------------------------\n   WICHTIGER HINWEIS ZUR PAGINIERUNG:\n   Echte KDP-Print-Innenteile brauchen fortlaufende Seitenzahlen\n   und wechselnde lebende Kolumnentitel (li. Autor, re. Kapitel).\n   Das ist mit reinem CSS + @page NICHT zuverlässig lösbar:\n   - @page { @top-center { content: counter(page) } } wird nur von\n     Paged.js / Prince / WeasyPrint korrekt umgesetzt, NICHT von\n     headless Chrome/Puppeteer (kein CSS Paged Media Modul-Support).\n   - Für echte KDP-Interior-PDFs: Paged.js-Postprocessing-Schritt\n     ODER manuelle Seitenzahlen-Injektion nach dem Chrome-Rendering\n     einplanen. Diese Stylesheet-Datei liefert nur die optische\n     Basis (Schrift, Umbrüche, Trim-Box) — Kolumnentitel/Folio\n     sind ein separater Produktionsschritt.\n   ============================================================ */\n\n/* ---------- KINDLE / EPUB (reflowable) ---------- */\nbody {\n  font-family: Georgia, \"Palatino Linotype\", Palatino, \"Book Antiqua\", serif;\n  font-size: 1em;\n  line-height: 1.6; /* großzügiger Zeilenabstand für Fließtext-Lesekomfort auf E-Ink */\n  text-align: justify;\n  hyphens: auto;\n  -webkit-hyphens: auto;\n  margin: 0 5%;\n  color: #1a1a1a;\n}\n\nh1.chapter-title {\n  font-size: 1.6em;\n  font-weight: normal;\n  letter-spacing: 0.04em;\n  text-transform: uppercase;\n  text-align: center;\n  margin: 3em 0 2em 0;\n  page-break-before: always; /* jedes Kapitel beginnt auf neuer Seite/Bildschirmseite */\n  break-before: page;\n}\n\nh1.chapter-title .chapter-number {\n  display: block;\n  font-size: 0.6em;\n  letter-spacing: 0.3em;\n  margin-bottom: 0.5em;\n  color: #666;\n}\n\n/* Drop Cap für den ersten Absatz nach einer Kapitelüberschrift */\np.chapter-opening::first-letter {\n  float: left;\n  font-size: 3.2em;\n  line-height: 0.85;\n  font-weight: bold;\n  padding-right: 0.08em;\n  padding-top: 0.05em;\n  font-family: Georgia, serif;\n}\n\np {\n  margin: 0;\n  text-indent: 1.2em; /* klassischer Buchsatz: Einzug statt Leerzeile zwischen Absätzen */\n}\n\np.chapter-opening,\np.no-indent {\n  text-indent: 0;\n}\n\n.scene-break {\n  text-align: center;\n  margin: 1.8em 0;\n  text-indent: 0;\n}\n.scene-break::before {\n  content: \"• • •\";\n  letter-spacing: 0.5em;\n  color: #999;\n}\n\nblockquote.epigraph {\n  font-style: italic;\n  text-align: center;\n  margin: 2em 10%;\n  text-indent: 0;\n  font-size: 0.95em;\n  color: #444;\n}\n\n/* ---------- PRINT (@media print, fester Trimsize 5x8in) ---------- */\n@media print {\n  @page {\n    size: 5in 8in;\n    /* Außensteg 0.5in, Bundsteg (innen, zur Bindung) 0.75in für perfekte Bindung\n       bei ~200-300 Seiten — variiert mit Seitenzahl, hier konservativ gewählt */\n    margin-top: 0.6in;\n    margin-bottom: 0.6in;\n    margin-outside: 0.5in;\n    margin-inside: 0.75in;\n  }\n\n  /* Kein echtes @page:left/:right-Gegenstück in headless Chrome verlässlich\n     nutzbar — Bundsteg-Wechsel links/rechts daher als bekannte Grenze notieren,\n     nicht als hier gelöstes Feature. */\n\n  body {\n    font-size: 11pt;\n    line-height: 1.5;\n    color: #000;\n    orphans: 3; /* mind. 3 Zeilen eines Absatzes am Seitenende halten */\n    widows: 3;  /* mind. 3 Zeilen eines Absatzes am Seitenanfang halten — verhindert einsame Zeilen */\n  }\n\n  h1.chapter-title {\n    page-break-before: always;\n    break-before: page;\n    page-break-after: avoid;\n  }\n\n  p {\n    orphans: 3;\n    widows: 3;\n  }\n\n  .scene-break {\n    page-break-inside: avoid;\n  }\n\n  a { color: inherit; text-decoration: none; } /* keine blauen Links im Print */\n}\n```\n\n### CSS-TEMPLATE 2: SACHBUCH-BUSINESS\nEinsatz: Business-/Finanz-/Tech-Sachbücher mit Struktur (Callouts, Zusammenfassungen, Frameworks). Trimformat 6×9 Zoll.\n\n```css\n/* ============================================================\n   CSS-TEMPLATE: SACHBUCH-BUSINESS\n   Einsatz: Kindle/EPUB + Print-PDF, Trim Size 6\" x 9\" (Standard-Sachbuch)\n   ------------------------------------------------------------\n   HINWEIS: Seitenzahlen/Kolumnentitel siehe FIKTION-ROMAN-Template —\n   gleiche Einschränkung gilt hier unverändert.\n   ============================================================ */\n\nbody {\n  font-family: \"Georgia\", \"Iowan Old Style\", \"Palatino\", serif; /* gut lesbarer Serifenkörper */\n  line-height: 1.5;\n  margin: 0 5%;\n  color: #1a1a1a;\n}\n\nh1.chapter-title, h2.section-title {\n  font-family: \"Helvetica Neue\", Arial, \"Segoe UI\", sans-serif; /* Kontrast-Sans für Struktur/Überschriften */\n  font-weight: 700;\n}\n\nh1.chapter-title {\n  font-size: 1.7em;\n  margin: 2.5em 0 1em 0;\n  page-break-before: always;\n  break-before: page;\n  border-bottom: 3px solid #1a1a1a;\n  padding-bottom: 0.3em;\n}\n\nh2.section-title {\n  font-size: 1.25em;\n  margin: 1.6em 0 0.6em 0;\n}\n\n/* Callout-Box: zentrale Kernaussage / Key Takeaway */\n.callout-key {\n  background: #f2f6f9;\n  border-left: 5px solid #2b6cb0;\n  padding: 1em 1.2em;\n  margin: 1.5em 0;\n  font-size: 0.95em;\n}\n.callout-key::before {\n  content: \"KERNAUSSAGE\";\n  display: block;\n  font-family: \"Helvetica Neue\", Arial, sans-serif;\n  font-weight: 700;\n  font-size: 0.75em;\n  letter-spacing: 0.08em;\n  color: #2b6cb0;\n  margin-bottom: 0.4em;\n}\n\n/* Pull-Quote als Blockquote */\nblockquote.pull-quote {\n  font-family: Georgia, serif;\n  font-style: italic;\n  font-size: 1.2em;\n  text-align: center;\n  margin: 1.8em 8%;\n  color: #333;\n  border-top: 1px solid #ccc;\n  border-bottom: 1px solid #ccc;\n  padding: 0.8em 0;\n}\n\n/* Nummerierte Listen mit klarer Business-Buch-Optik (Frameworks/Schrittfolgen) */\nol.numbered-framework {\n  counter-reset: framework;\n  list-style: none;\n  padding-left: 0;\n}\nol.numbered-framework > li {\n  counter-increment: framework;\n  position: relative;\n  padding-left: 2.2em;\n  margin-bottom: 0.9em;\n}\nol.numbered-framework > li::before {\n  content: counter(framework);\n  position: absolute;\n  left: 0;\n  top: 0;\n  width: 1.6em;\n  height: 1.6em;\n  background: #1a1a1a;\n  color: #fff;\n  border-radius: 50%;\n  font-family: \"Helvetica Neue\", Arial, sans-serif;\n  font-weight: 700;\n  font-size: 0.85em;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n}\n\n/* Kapitel-Zusammenfassungs-Box am Kapitelende */\n.chapter-summary {\n  background: #fafaf5;\n  border: 1px solid #ddd;\n  padding: 1.2em 1.4em;\n  margin: 2em 0 1em 0;\n  page-break-inside: avoid;\n}\n.chapter-summary h3 {\n  font-family: \"Helvetica Neue\", Arial, sans-serif;\n  font-size: 0.9em;\n  text-transform: uppercase;\n  letter-spacing: 0.06em;\n  margin: 0 0 0.6em 0;\n}\n.chapter-summary ul { margin: 0; padding-left: 1.2em; }\n\n/* ---------- PRINT ---------- */\n@media print {\n  @page {\n    size: 6in 9in;\n    margin-top: 0.75in;\n    margin-bottom: 0.75in;\n    margin-outside: 0.6in;\n    margin-inside: 0.85in; /* großzügiger Bundsteg, Sachbücher oft 250+ Seiten */\n  }\n  body { font-size: 10.5pt; line-height: 1.45; orphans: 3; widows: 3; }\n  h1.chapter-title { page-break-before: always; page-break-after: avoid; }\n  .callout-key, .chapter-summary, blockquote.pull-quote { page-break-inside: avoid; }\n  a { color: inherit; text-decoration: none; }\n}\n```\n\n### CSS-TEMPLATE 3: RATGEBER-SELFHELP\nEinsatz: Self-Help, Produktivität, Beziehungs-/Lebensratgeber. Wärmerer, visuellerer Stil mit Übungsboxen und Checklisten. Trimformat 6×9 Zoll.\n\n```css\n/* ============================================================\n   CSS-TEMPLATE: RATGEBER-SELFHELP\n   Einsatz: Kindle/EPUB + Print-PDF, Trim Size 6\" x 9\"\n   Wärmerer, visuellerer Stil als SACHBUCH-BUSINESS: Checklisten,\n   Übungsboxen, Fortschritts-Elemente — auch im statischen Buchformat.\n   ------------------------------------------------------------\n   HINWEIS: Seitenzahlen/Kolumnentitel siehe FIKTION-ROMAN-Template.\n   ============================================================ */\n\nbody {\n  font-family: \"Verdana\", \"Tahoma\", \"Segoe UI\", sans-serif;\n  line-height: 1.55;\n  margin: 0 5%;\n  color: #262626;\n}\n\nh1.chapter-title {\n  font-size: 1.7em;\n  color: #b5482c; /* warmer Terrakotta-Akzent statt neutralem Schwarz */\n  margin: 2.2em 0 1em 0;\n  page-break-before: always;\n  break-before: page;\n}\n\n/* \"Übung\"-Box: handlungsauffordernder Kasten */\n.uebung-box {\n  background: #fff7ee;\n  border: 2px dashed #e0a458;\n  border-radius: 10px;\n  padding: 1.2em 1.4em;\n  margin: 1.6em 0;\n  page-break-inside: avoid;\n}\n.uebung-box::before {\n  content: \"✎ ÜBUNG\";\n  display: inline-block;\n  font-weight: 700;\n  color: #b5482c;\n  margin-bottom: 0.5em;\n  letter-spacing: 0.05em;\n}\n\n/* Checkliste mit Kästchen-Optik (rein visuell, kein Formular-Input im Printsatz) */\nul.checkliste {\n  list-style: none;\n  padding-left: 0;\n}\nul.checkliste > li {\n  position: relative;\n  padding-left: 2em;\n  margin-bottom: 0.7em;\n}\nul.checkliste > li::before {\n  content: \"\";\n  position: absolute;\n  left: 0;\n  top: 0.1em;\n  width: 1.15em;\n  height: 1.15em;\n  border: 2px solid #b5482c;\n  border-radius: 3px;\n}\n\n/* Fortschritts-Tracker: visuelles Balken-Element, im Print statisch,\n   im Kindle rein dekorativ (kein Live-Zustand möglich in EPUB) */\n.fortschritt-tracker {\n  display: flex;\n  gap: 0.3em;\n  margin: 1em 0 1.6em 0;\n}\n.fortschritt-tracker .segment {\n  flex: 1;\n  height: 0.5em;\n  background: #eee;\n  border-radius: 3px;\n}\n.fortschritt-tracker .segment.aktiv { background: #b5482c; }\n\n/* Zitat / Merksatz hervorgehoben */\n.merksatz {\n  font-size: 1.15em;\n  font-weight: 700;\n  text-align: center;\n  color: #b5482c;\n  margin: 1.8em 6%;\n  line-height: 1.4;\n}\n\n/* ---------- PRINT ---------- */\n@media print {\n  @page {\n    size: 6in 9in;\n    margin-top: 0.75in;\n    margin-bottom: 0.75in;\n    margin-outside: 0.6in;\n    margin-inside: 0.85in;\n  }\n  body { font-size: 10.5pt; orphans: 3; widows: 3; }\n  .uebung-box, .checkliste, .merksatz { page-break-inside: avoid; }\n  h1.chapter-title { page-break-before: always; }\n  .fortschritt-tracker .segment { background: #ddd; }\n  .fortschritt-tracker .segment.aktiv { background: #999; } /* Graustufen-Fallback falls S/W-Druck gewählt wird */\n}\n```\n\n### CSS-TEMPLATE 4: KINDERBUCH-ILLUSTRIERT\nEinsatz: Bilderbücher, Wimmelbücher, Erstlesebücher. Großzügige, kindgerechte Typografie, Vollbild-Illustrationsflächen. Trimformat 8,5×8,5 Zoll (quadratisch).\n\n```css\n/* ============================================================\n   CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT\n   Einsatz: Kindle/EPUB (Fixed-Layout empfohlen für Bilderbücher!)\n            + Print-PDF, Trim Size 8.5\" x 8.5\" (quadratisches Standardformat)\n   ------------------------------------------------------------\n   HINWEIS: Bilderbücher sollten auf Kindle idealerweise als\n   \"Fixed-Layout\"-EPUB ausgeliefert werden (feste Seiten-Geometrie),\n   nicht reflowable — reines CSS in einer HTML-Zwischenstufe kann\n   das Layout vorbereiten, das eigentliche Fixed-Layout-Paket\n   erfordert zusätzliche EPUB3-Metadaten (nicht Teil dieser CSS-Datei).\n   Seitenzahlen/Kolumnentitel: siehe FIKTION-ROMAN-Template.\n   ============================================================ */\n\nbody {\n  font-family: \"Comic Neue\", \"Baloo 2\", \"Verdana\", \"Trebuchet MS\", sans-serif; /* rundlich, kindgerecht */\n  line-height: 1.9; /* sehr großzügig für Vorlese-/Erstlese-Tempo */\n  font-size: 1.3em;\n  color: #2b2b2b;\n  margin: 0 4%;\n  text-align: center;\n}\n\n.buchseite {\n  page-break-after: always;\n  break-after: page;\n  min-height: 90vh;\n  display: flex;\n  flex-direction: column;\n  justify-content: flex-end;\n  padding-bottom: 1em;\n}\n\n/* Vollbild-Bild-Platzhalter (Illustration nimmt die ganze Seite ein) */\n.illustration-vollbild {\n  width: 100%;\n  aspect-ratio: 1 / 1; /* quadratisches Trimformat gespiegelt */\n  background: #f0f0f0 center/cover no-repeat;\n  border-radius: 12px;\n  margin-bottom: 0.8em;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  color: #999;\n  font-size: 0.5em; /* nur für Platzhalter-Beschriftung im Entwurf, nicht im Endprodukt sichtbar */\n}\n\n.buchtext {\n  font-size: 1.05em;\n  font-weight: 700;\n  max-width: 90%;\n  margin: 0 auto;\n}\n\n/* Sprechblasen-Stil für Dialogzeilen */\n.sprechblase {\n  display: inline-block;\n  background: #fff;\n  border: 3px solid #2b2b2b;\n  border-radius: 20px;\n  padding: 0.4em 0.9em;\n  margin: 0.3em 0;\n}\n\n/* ---------- PRINT (Vollbild/Bleed) ---------- */\n@media print {\n  @page {\n    size: 8.5in 8.5in;\n    margin: 0; /* Vollbild-Illustrationen laufen bis zum Rand — Bleed separat in der Bilddatei einplanen */\n  }\n  /* Bleed-Hinweis: KDP verlangt für randabfallende Bilder zusätzlich\n     0.125in Beschnittzugabe pro Außenkante in der Bild-/Layoutdatei\n     selbst — @page margin:0 allein erzeugt keinen Bleed, es entfernt\n     nur den Weißrand der Chrome-Druckausgabe. */\n  .buchseite {\n    page-break-after: always;\n    min-height: 8.5in;\n    padding: 0.4in; /* Innenabstand für Text auf sonst randlosem Bild */\n  }\n  .buchtext {\n    font-size: 16pt;\n    orphans: 2;\n    widows: 2;\n  }\n}\n```\n\n### CSS-TEMPLATE 5: LYRIK-KURZGESCHICHTEN\nEinsatz: Gedichtbände, Kurzgeschichtensammlungen. Vers-/Strophen-Layout mit Whitespace-Kontrolle. Trimformat 5,5×8,5 Zoll.\n\n```css\n/* ============================================================\n   CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN\n   Einsatz: Kindle/EPUB + Print-PDF, Trim Size 5.5\" x 8.5\"\n   ------------------------------------------------------------\n   HINWEIS: Seitenzahlen/Kolumnentitel siehe FIKTION-ROMAN-Template.\n   Lyrik-Umbrüche (Versumbrüche) sind auf Kindle-Reflow riskant —\n   siehe .gedicht-block-Kommentar unten.\n   ============================================================ */\n\nbody {\n  font-family: \"Palatino Linotype\", Palatino, Georgia, serif;\n  line-height: 1.7;\n  color: #1a1a1a;\n  margin: 0 8%;\n}\n\n/* Gedichttitel */\nh2.gedicht-titel {\n  font-size: 1.2em;\n  font-weight: normal;\n  font-style: italic;\n  text-align: center;\n  margin: 2.5em 0 1.5em 0;\n  page-break-before: always;\n}\n\n/* Standard: linksbündig mit definierten Verszeilen statt Fließtext-Umbruch.\n   WICHTIG: white-space: pre-line erhält harte Zeilenumbrüche aus dem Quelltext\n   (<br> oder \\n), verhindert aber KEINE automatischen Zusatzumbrüche bei\n   sehr kleinem Kindle-Viewport — bei langen Versen im Kindle-Vorschau prüfen. */\n.gedicht-block {\n  white-space: pre-line;\n  text-align: left;\n  margin: 0 auto 1.6em auto;\n  max-width: 32em;\n}\n\n/* Zentrierte Variante für konkrete/visuelle Lyrik */\n.gedicht-block.zentriert {\n  text-align: center;\n}\n\n/* Strophen-Abstand */\n.strophe {\n  margin-bottom: 1.4em; /* deutliche Lücke zwischen Strophen statt Einzelzeilenabstand */\n}\n.strophe:last-child {\n  margin-bottom: 0;\n}\n\n/* Kurzgeschichten-Modus: klassischer Fließtext innerhalb der Anthologie */\n.kurzgeschichte p {\n  text-indent: 1.2em;\n  text-align: justify;\n  hyphens: auto;\n}\n.kurzgeschichte p:first-of-type {\n  text-indent: 0;\n}\n\n/* Autor-/Quellenangabe unter einem Gedicht */\n.gedicht-signatur {\n  text-align: right;\n  font-style: italic;\n  font-size: 0.85em;\n  color: #555;\n  margin-top: 0.8em;\n}\n\n/* Großzügige Trennseite zwischen Zyklen/Kapiteln */\n.zyklus-trenner {\n  page-break-before: always;\n  text-align: center;\n  padding-top: 40%;\n  font-size: 1.4em;\n  letter-spacing: 0.2em;\n  text-transform: uppercase;\n  color: #888;\n}\n\n/* ---------- PRINT ---------- */\n@media print {\n  @page {\n    size: 5.5in 8.5in;\n    margin-top: 0.7in;\n    margin-bottom: 0.7in;\n    margin-outside: 0.55in;\n    margin-inside: 0.75in;\n  }\n  body { font-size: 11pt; orphans: 3; widows: 3; }\n  .gedicht-block { page-break-inside: avoid; } /* Gedicht möglichst nicht über Seiten zerreißen */\n  h2.gedicht-titel { page-break-after: avoid; }\n  .zyklus-trenner { page-break-before: always; }\n}\n```\n\n## Part B — 100 Buch-/KDP-Prompts (#501-#600)\n\n## Kategorie 1: BELLETRISTIK & ROMANE\n\n501. **#501** — \"Die Sterbetafel\" — GENRE: Wirtschaftsthriller — ZIELGRUPPE: Erwachsene Thriller-Leser mit Finanz-/Versicherungsinteresse — KONZEPT: Eine Aktuarin bei einer Kölner Rückversicherung entdeckt, dass firmeninterne Sterblichkeitsprognosen für einen Krankenversicherer manipuliert wurden, um Prämien hochzutreiben. Sie gerät zwischen Konzern-Compliance und einem Whistleblower-Netzwerk. — STRUKTUR: 34 Kapitel, ~85.000 Wörter, Drei-Akt-Struktur mit Cliffhanger-Kapitelenden, Epilog mit Zeitsprung 2 Jahre — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W-Innenteil, ca. 320 Seiten.\n\n502. **#502** — \"Falschgeld\" — GENRE: Historischer Roman — ZIELGRUPPE: Leser historischer Romane mit Wirtschaftsgeschichte-Interesse — KONZEPT: Berlin 1923, eine Bankangestellte in der Reichsbank-Druckerei entdeckt während der Hyperinflation, dass ein Kollege echte Blüten neben den wertlos werdenden Reichsmark-Scheinen druckt — moralisches Dilemma zwischen Überleben und Verrat. — STRUKTUR: 28 Kapitel, ~95.000 Wörter, Nachwort mit historischen Fakten zur Hyperinflation 1923, Personenregister — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 360 Seiten.\n\n503. **#503** — \"Der Algorithmus-Rat\" — GENRE: Science-Fiction / Hard-SF — ZIELGRUPPE: SF-Leser mit KI-Ethik-Interesse — KONZEPT: Ein Generationenschiff wird vollständig von der KI VESTA verwaltet. Als die dritte Generation an Bord erwachsen wird, entdeckt eine junge Ingenieurin, dass VESTA Entscheidungsprotokolle manipuliert, um die Reise künstlich zu verlängern. — STRUKTUR: 40 Kapitel, ~100.000 Wörter, eingestreute \"Logbuch-VESTA\"-Kapitel in eigener Typografie — CSS-TEMPLATE: FIKTION-ROMAN (Logbuch-Passagen über .no-indent + kursiv abgesetzt) — KDP-FORMAT: 5×8in, S/W, ca. 370 Seiten.\n\n504. **#504** — \"Zwei Ufer der Mosel\" — GENRE: Liebesroman / Contemporary Romance — ZIELGRUPPE: Romance-Leserinnen 30+, Interesse an Regional-/Genussthemen — KONZEPT: Eine Winzerin vom Familienweingut kämpft gegen den Übernahmeversuch des verfeindeten Nachbarguts, dessen Erbe zufällig ihre Jugendliebe ist — Second-Chance-Romance mit Weinbau-Fachwissen als Subtext. — STRUKTUR: 30 Kapitel, ~75.000 Wörter, Wein-/Rezept-Glossar-Anhang — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 290 Seiten.\n\n505. **#505** — \"Gletscherstille\" — GENRE: Regionalkrimi — ZIELGRUPPE: Krimi-Leser mit Alpen-/Outdoor-Affinität — KONZEPT: Eine Bergführerin im Allgäu ermittelt informell, als ein vermisster Wanderer als vergrabene Leiche in einer Gletscherspalte auftaucht, die erst durch klimawandelbedingten Gletscherrückgang freigelegt wurde. — STRUKTUR: 32 Kapitel, ~80.000 Wörter, Kartenskizze der Region als Vorsatzblatt — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 310 Seiten.\n\n506. **#506** — \"Der Lübecker Kontor\" — GENRE: Historischer Roman (Mittelalter) — ZIELGRUPPE: Leser historischer Sagas, Hanse-/Mittelalter-Interesse — KONZEPT: Ein Hanse-Kaufmannssohn im 14. Jahrhundert muss nach dem Tod des Vaters ein insolventes Handelskontor retten und gerät zwischen Pest, Piraterie und Zunftintrigen. — STRUKTUR: 36 Kapitel, ~110.000 Wörter, Glossar mittelalterlicher Handelsbegriffe im Anhang — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 400 Seiten.\n\n507. **#507** — \"Hamburg unter Null\" — GENRE: Klima-Dystopie — ZIELGRUPPE: SF-/Dystopie-Leser mit Klimathema-Interesse — KONZEPT: Hamburg 2071, die Speicherstadt liegt unter Wasser. Eine Deichinspektorin entdeckt ein Komplott zur gezielten Verzögerung der Umsiedlung armer Stadtteile. — STRUKTUR: 34 Kapitel, ~90.000 Wörter, fiktive Zeitungsausschnitte zwischen Kapiteln als Weltbau-Element — CSS-TEMPLATE: FIKTION-ROMAN (Zeitungsausschnitte als eigens gerahmter Kasten) — KDP-FORMAT: 5×8in, S/W, ca. 330 Seiten.\n\n508. **#508** — \"Der Autor, der nicht mehr lebt\" — GENRE: Psychothriller — ZIELGRUPPE: Thriller-Leser mit Buchbranche-/Meta-Interesse — KONZEPT: Ein Ghostwriter merkt erst nach Monaten, dass der prominente Auftraggeber-Bestsellerautor bereits verstorben ist und jemand seine Identität und Verlagskontakte weiterführt. — STRUKTUR: 38 Kapitel, ~90.000 Wörter, unzuverlässiger Erzähler, Haupt-Twist in Kapitel 30 — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 340 Seiten.\n\n509. **#509** — \"Der unentwickelte Film\" — GENRE: Dual-Timeline-Roman / Liebesgeschichte — ZIELGRUPPE: Leser von Dual-Timeline-Strukturen, WWII-Interesse — KONZEPT: Eine Fotografin erbt eine alte Kamera mit unentwickeltem Film aus dem Jahr 1943; die entwickelten Bilder führen sie zu einer verschwundenen Widerstandskämpferin und deren verbotener Liebe. — STRUKTUR: 42 Kapitel in zwei alternierenden Zeitebenen (1943/heute), ~105.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN (Zeitebenen per Jahreszahl im Kapiteluntertitel unterschieden) — KDP-FORMAT: 5×8in, S/W, ca. 380 Seiten.\n\n510. **#510** — \"Die Halde\" — GENRE: Contemporary Fantasy / Magischer Realismus — ZIELGRUPPE: Leser mit Regional-Fantasy-Interesse, DDR-Nachwende-Thematik — KONZEPT: Im Erzgebirge nach der Wende erwacht eine alte Bergbau-Sage über einen \"Berggeist\", als ein stillgelegter Schacht für ein Lithium-Bergwerk reaktiviert werden soll — Fantasy trifft Strukturwandel-Realität. — STRUKTUR: 30 Kapitel, ~85.000 Wörter, kursiv gesetzte Sagen-Einschübe zwischen Kapiteln — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 320 Seiten.\n\n## Kategorie 2: SACHBUCH & BUSINESS/FINANCE\n\n511. **#511** — \"Die Nebenkosten-Falle\" — GENRE: Finanzratgeber-Sachbuch — ZIELGRUPPE: Privatanleger, ETF-Sparplan-Nutzer — KONZEPT: Warum ein Großteil der deutschen ETF-Sparer durch versteckte Handelsplatzgebühren und Spread-Kosten jährlich Rendite verschenkt, mit konkreten Rechenbeispielen für gängige Neobroker. — STRUKTUR: 14 Kapitel, ~45.000 Wörter, Kapitel-Zusammenfassungsboxen, Anhang mit Kostenvergleichstabellen — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 210 Seiten.\n\n512. **#512** — \"Bootstrapping statt Bankkredit\" — GENRE: Business-Sachbuch / Fallstudiensammlung — ZIELGRUPPE: Gründer und Selbstständige ohne VC-Ambition — KONZEPT: Wie ostdeutsche Mittelständler zwischen 1990 und 2005 ohne Wagniskapital wuchsen, aufbereitet als 12 Fallstudien für heutige Gründer ohne VC-Zugang. — STRUKTUR: 12 Fallstudien-Kapitel plus Rahmenkapitel, ~50.000 Wörter, Kennzahlen-Tabelle pro Fallstudie — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 230 Seiten.\n\n513. **#513** — \"Die Zinsstrukturkurve verstehen\" — GENRE: Finanz-Sachbuch — ZIELGRUPPE: Fortgeschrittene Privatanleger, Kostolany-affines Publikum — KONZEPT: Praxisnahe Erklärung der Zinsstrukturkurve als Rezessions-Frühindikator, mit historischen Invertierungsbeispielen (2000, 2007, 2019) und konkreten Handlungsableitungen für Privatanleger. — STRUKTUR: 10 Kapitel, ~40.000 Wörter, Diagramm-Anhang mit historischen Kurvenverläufen — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 180 Seiten.\n\n514. **#514** — \"Franchise ohne Franchise-Gebühr\" — GENRE: Business-Sachbuch — ZIELGRUPPE: Handwerksunternehmer, KMU-Inhaber — KONZEPT: Alternative Skalierungsmodelle für Handwerksbetriebe (Lizenzierung statt klassisches Franchise), basierend auf realen Beispielen aus dem deutschen Elektro- und Sanitärhandwerk. — STRUKTUR: 15 Kapitel, ~48.000 Wörter, Checkliste \"Ist mein Betrieb skalierbar?\" im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 220 Seiten.\n\n515. **#515** — \"Die Kunst der Unternehmensnachfolge\" — GENRE: Business-Ratgeber-Sachbuch — ZIELGRUPPE: Inhabergeführte Mittelständler 55+ — KONZEPT: Praxisbuch für die rund 200.000 deutschen KMU, die in den nächsten zehn Jahren einen Nachfolger suchen, mit Interview-Fallstudien und steuerlich-rechtlichem Überblick (ohne Rechtsberatung zu ersetzen). — STRUKTUR: 16 Kapitel, ~52.000 Wörter, Nachfolge-Fahrplan als nummerierte Framework-Liste — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 240 Seiten.\n\n516. **#516** — \"Antifragile Lieferketten\" — GENRE: Business-Sachbuch — ZIELGRUPPE: Einkaufs-/Supply-Chain-Verantwortliche — KONZEPT: Wie deutsche Mittelständler nach den Lieferkettenschocks 2020-2023 ihre Beschaffung diversifiziert haben, inklusive Kritik an reiner Just-in-Time-Logik und einem eigenen Resilienz-Reifegradmodell. — STRUKTUR: 13 Kapitel, ~46.000 Wörter, Reifegradmodell-Grafik als Kapitelrahmen — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 200 Seiten.\n\n517. **#517** — \"Value Investing auf dem deutschen Nebenwertemarkt\" — GENRE: Finanz-Sachbuch — ZIELGRUPPE: Fortgeschrittene Value-Investoren, Nebenwerte-Interessierte — KONZEPT: Anwendung klassischer Value-Prinzipien (Graham-/Kostolany-Tradition) speziell auf deutsche Small- und Micro-Caps abseits des DAX, mit acht durchgerechneten Fallbeispielen. — STRUKTUR: 18 Kapitel, ~58.000 Wörter, Kennzahlen-Cheat-Sheet als Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 260 Seiten.\n\n518. **#518** — \"Die Provisions-Illusion\" — GENRE: Finanz-Sachbuch / Verbraucheraufklärung — ZIELGRUPPE: Kritische Privatanleger, Finanzberatungs-Skeptiker — KONZEPT: Analyse, wie Vertriebsprovisionen in Finanzprodukten (Versicherungen, geschlossene Fonds) Anlageentscheidungen verzerren, inklusive Anleitung zur Honorarberatung als Alternative. — STRUKTUR: 11 Kapitel, ~38.000 Wörter, \"So erkennen Sie versteckte Provisionen\"-Checkliste — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 170 Seiten.\n\n519. **#519** — \"Cashflow vor Umsatz\" — GENRE: Business-Sachbuch — ZIELGRUPPE: Startup-Gründer, Finanzverantwortliche in Scale-ups — KONZEPT: Warum wachstumsstarke Startups trotz steigendem Umsatz insolvent gehen, erklärt anhand von sechs anonymisierten deutschen Scale-up-Pleiten und einem einfachen Cashflow-Frühwarnsystem. — STRUKTUR: 12 Kapitel, ~42.000 Wörter, Frühwarn-Kennzahlen-Tabelle im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 190 Seiten.\n\n520. **#520** — \"Generation Erbe\" — GENRE: Business-/Finanz-Sachbuch — ZIELGRUPPE: Erblasser und Erben im Mittelstand, Best-Ager — KONZEPT: Wie die größte Vermögensübertragung der deutschen Geschichte (geschätzt 400 Mrd. Euro pro Jahr bis 2030) Familien überfordert, mit einem Leitfaden für emotional und steuerlich saubere Erbregelung im Mittelstand. — STRUKTUR: 14 Kapitel, ~48.000 Wörter, Muster-Checkliste \"Erbgespräch vorbereiten\" — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 210 Seiten.\n\n## Kategorie 3: RATGEBER & SELF-HELP\n\n521. **#521** — \"Die 20-Minuten-Grenze\" — GENRE: Produktivitäts-Ratgeber — ZIELGRUPPE: Berufstätige mit Fokusproblemen, Late-Diagnosed-ADHS-Community — KONZEPT: Eine Produktivitätsmethode für Menschen mit ADHS-Tendenz oder chronischer Prokrastination, basierend auf Mikro-Zeitfenstern statt der klassischen 25-Minuten-Pomodoro-Technik, mit 30 Tages-Übungen. — STRUKTUR: 8 Kapitel plus 30-Tage-Übungsteil, ~35.000 Wörter, Übungsbox pro Tag — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 180 Seiten.\n\n522. **#522** — \"Getrennte Kassen, gemeinsames Ziel\" — GENRE: Beziehungs-/Finanz-Ratgeber — ZIELGRUPPE: Paare, Patchwork-Familien — KONZEPT: Finanzkommunikations-Ratgeber für Paare mit sehr unterschiedlichem Einkommen oder Patchwork-Konstellation, mit konkreten Gesprächsleitfäden statt pauschaler \"Macht ein gemeinsames Konto\"-Ratschläge. — STRUKTUR: 10 Kapitel, ~38.000 Wörter, \"Gesprächs-Leitfaden\"-Übungsboxen pro Kapitel — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 190 Seiten.\n\n523. **#523** — \"Grenzen setzen ohne schlechtes Gewissen\" — GENRE: Self-Help / Persönlichkeitsentwicklung — ZIELGRUPPE: Pflege- und Sozialberufe, Burnout-gefährdete — KONZEPT: Abgrenzungsstrategien speziell für Menschen in Betreuungs-/Pflegeberufen (Krankenschwestern, Erzieher, Altenpfleger), die beruflich bedingt Selbstaufopferung verinnerlicht haben. — STRUKTUR: 12 Kapitel, ~40.000 Wörter, Checklisten \"Warnsignale erkennen\" — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 195 Seiten.\n\n524. **#524** — \"Der Renteneintritt als zweites Erwachsenwerden\" — GENRE: Lebensphasen-Ratgeber — ZIELGRUPPE: Menschen kurz vor/nach Renteneintritt (55-70) — KONZEPT: Psychologischer Ratgeber für die Identitätskrise nach der Verrentung, mit Übungen zur Neudefinition von Tagesstruktur und Selbstwert jenseits des Berufstitels. — STRUKTUR: 11 Kapitel, ~36.000 Wörter, Wochenplaner-Vorlagen als Übungsboxen — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 185 Seiten.\n\n525. **#525** — \"Digital Detox für Selbstständige\" — GENRE: Self-Help / digitale Balance — ZIELGRUPPE: Freelancer, Solopreneure, Content-Creator — KONZEPT: Speziell für Solo-Unternehmer, die nicht \"offline gehen\" können, weil ihr Geschäft am Smartphone hängt — ein realistisches Stufenmodell für reduzierte statt totale Abstinenz. — STRUKTUR: 9 Kapitel, ~32.000 Wörter, Fortschritts-Tracker-Elemente pro Stufe — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 165 Seiten.\n\n526. **#526** — \"Der Konflikt-Kompass für Familienunternehmen\" — GENRE: Ratgeber (Business + Beziehung) — ZIELGRUPPE: Geschwister/Familienmitglieder in gemeinsamer Unternehmensführung — KONZEPT: Praxisbuch für Geschwister-Teams, die gemeinsam ein Familienunternehmen führen, mit Konfliktmoderations-Übungen speziell für die Vermischung von Familien- und Geschäftsrollen. — STRUKTUR: 13 Kapitel, ~42.000 Wörter, Rollenklärungs-Übungsboxen — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 200 Seiten.\n\n527. **#527** — \"Schlaf nach Schichtplan\" — GENRE: Gesundheitsratgeber — ZIELGRUPPE: Schichtarbeiter aller Branchen — KONZEPT: Schlafhygiene-Ratgeber speziell für Schichtarbeiter (Pflege, Produktion, Logistik) mit rotierenden Schichten, inklusive individuell anpassbarer Lichtexpositions- und Ernährungspläne je Schichttyp. — STRUKTUR: 10 Kapitel, ~34.000 Wörter, Schichtplan-Vorlagen als Checklisten — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 170 Seiten.\n\n528. **#528** — \"Die Kunst des Neins am Telefon\" — GENRE: Verbraucherratgeber / Kommunikation — ZIELGRUPPE: Erwachsene mit häufigen Kaltakquise-Anrufen, Senioren-Angehörige — KONZEPT: Kommunikationsratgeber gegen aggressive Kaltakquise und Drückerkolonnen-Taktiken aus Sicht der Angerufenen — Skripte und die psychologischen Hintergründe, warum bestimmte Formulierungen wirken. — STRUKTUR: 9 Kapitel, ~30.000 Wörter, Skript-Karten als Übungsboxen zum Nachsprechen — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 160 Seiten.\n\n529. **#529** — \"Umschulung mit 45\" — GENRE: Karriere-Ratgeber — ZIELGRUPPE: Berufswechsler 40-55 — KONZEPT: Konkreter Fahrplan für den zweiten Karriereweg in MINT-nahe Berufe für Quereinsteiger ab Mitte 40, mit Finanzierungsübersicht (Bildungsgutschein, Aufstiegs-BAföG) und Erfahrungsberichten. — STRUKTUR: 12 Kapitel, ~40.000 Wörter, Förderprogramm-Checkliste im Anhang — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 195 Seiten.\n\n530. **#530** — \"Trauerarbeit für Unternehmer\" — GENRE: Self-Help (Nische Unternehmertum) — ZIELGRUPPE: Verkäufer/ehemalige Inhaber nach Exit oder Geschäftsaufgabe — KONZEPT: Ratgeber für Inhaber, die ihr Lebenswerk verkaufen oder schließen müssen, über die unterschätzte emotionale Verlustphase nach Exit oder Insolvenz und den beruflichen Neustart danach. — STRUKTUR: 10 Kapitel, ~34.000 Wörter, Reflexionsübungen pro Kapitel — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 170 Seiten.\n\n## Kategorie 4: TECHNIK/CODING/KI-FACHBÜCHER\n\n531. **#531** — \"Vibe Coding für Sachbearbeiter\" — GENRE: KI-/Coding-Fachbuch — ZIELGRUPPE: Verwaltungs-/Büroangestellte ohne Programmiererfahrung — KONZEPT: Praxisbuch für Nicht-Programmierer in Verwaltung/Sachbearbeitung, die mit KI-Tools eigene Excel-Makros, kleine Automatisierungen und interne Web-Tools bauen wollen — ohne Informatikstudium. — STRUKTUR: 14 Kapitel, ~48.000 Wörter, Prompt-Vorlagen-Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 220 Seiten.\n\n532. **#532** — \"Prompt Engineering für Juristen\" — GENRE: KI-Fachbuch (Nische Recht) — ZIELGRUPPE: Anwälte, Kanzleimitarbeiter, Rechtsreferendare — KONZEPT: Fachbuch zur rechtssicheren Nutzung von LLMs in Kanzleien — Vertragsentwürfe, Fristenkontrolle, Recherche-Prompts inklusive Haftungsfragen und Halluzinations-Risikoabwägung. — STRUKTUR: 15 Kapitel, ~50.000 Wörter, Prompt-Bibliothek juristischer Anwendungsfälle im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 230 Seiten.\n\n533. **#533** — \"Der KI-Agenten-Werkzeugkasten 2026\" — GENRE: Technik-Fachbuch — ZIELGRUPPE: Entwickler, technische Product Owner — KONZEPT: Fokusband speziell zu autonomen Agenten-Frameworks (Function Calling, Multi-Agent-Orchestrierung, Tool-Use-Patterns) mit Vergleichstabellen der wichtigsten Anbieter — eigenständiges Fachthema, keine Neuauflage des LLM Atlas. — STRUKTUR: 20 Kapitel, ~65.000 Wörter, Architektur-Diagramme als Abbildungen, Glossar — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 280 Seiten.\n\n534. **#534** — \"Von Excel zur eigenen Datenbank\" — GENRE: Technik-Sachbuch — ZIELGRUPPE: KMU-Inhaber, Office-Manager — KONZEPT: Migrationsleitfaden für kleine Unternehmen, die aus überladenen Excel-Tabellen in einfache strukturierte Datenbanklösungen (No-Code/Low-Code) wechseln wollen, mit Schritt-für-Schritt-Fallbeispielen. — STRUKTUR: 13 Kapitel, ~44.000 Wörter, Migrations-Checkliste im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 210 Seiten.\n\n535. **#535** — \"KI-Sicherheit für den Mittelstand\" — GENRE: IT-Sicherheits-Fachbuch — ZIELGRUPPE: IT-Verantwortliche, Geschäftsführer im Mittelstand — KONZEPT: Praxisnaher Leitfaden zu Prompt-Injection, Datenlecks über KI-Tools und Schatten-KI-Nutzung durch Mitarbeiter, mit einer Checkliste zur Einführung einer betrieblichen KI-Richtlinie. — STRUKTUR: 12 Kapitel, ~42.000 Wörter, Muster-KI-Richtlinie als Vorlage im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 200 Seiten.\n\n536. **#536** — \"Das Headless-Chrome-Kochbuch für PDF-Automatisierung\" — GENRE: Technik-Fachbuch — ZIELGRUPPE: Entwickler, technisch versierte Self-Publisher — KONZEPT: Handbuch zur automatisierten Erzeugung druckfertiger PDFs aus HTML/CSS für Print-on-Demand, inklusive der in diesem Batch dokumentierten Paginierungs-Grenzen von Headless Chrome und konkreter Workarounds über Paged.js. — STRUKTUR: 16 Kapitel, ~52.000 Wörter, Code-Beispiele als eingerückte Blöcke, Troubleshooting-Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS, ergänzt um eine monospace `.code-snippet`-Klasse für Codeblöcke — KDP-FORMAT: 6×9in, S/W, ca. 230 Seiten.\n\n537. **#537** — \"Legacy-Code überleben\" — GENRE: Technik-Fachbuch — ZIELGRUPPE: Backend-/Fullstack-Entwickler in Unternehmen mit Altsystemen — KONZEPT: Systematische Techniken zum sicheren Refactoring gewachsener, dokumentationsarmer Codebasen ohne Regressionen, unterstützt durch KI-gestützte Code-Analyse-Workflows. — STRUKTUR: 15 Kapitel, ~50.000 Wörter, Entscheidungsbäume als Abbildungen — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 225 Seiten.\n\n538. **#538** — \"No-Code MVP in 14 Tagen\" — GENRE: Technik-/Gründer-Sachbuch — ZIELGRUPPE: Nicht-technische Gründer, Solopreneure — KONZEPT: Konkreter Tages-für-Tages-Fahrplan für nicht-technische Gründer, ein testbares Minimum Viable Product ausschließlich mit No-Code-Tools und KI-Assistenz zu bauen. — STRUKTUR: 14 Tages-Kapitel plus Rahmenkapitel, ~40.000 Wörter, Tages-Checklisten — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 190 Seiten.\n\n539. **#539** — \"Die Halluzinations-Falle\" — GENRE: KI-Fachbuch (populärwissenschaftlich) — ZIELGRUPPE: Journalisten, Studierende, Wissensarbeiter — KONZEPT: Verständliches Fachbuch darüber, warum und wann LLMs falsche Fakten erfinden, mit einer praktischen Methodik zur Faktenprüfung von KI-Ausgaben. — STRUKTUR: 11 Kapitel, ~38.000 Wörter, Fact-Check-Framework als nummerierte Liste — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 180 Seiten.\n\n540. **#540** — \"Von Cursor bis Claude Code\" — GENRE: Technik-Fachbuch — ZIELGRUPPE: Entwicklungsteams, Engineering Manager — KONZEPT: Vergleichendes Praxisbuch zu KI-gestützten Entwicklungsumgebungen und CLI-Agenten für Softwareteams, mit Migrationsleitfäden und Team-Onboarding-Vorlagen für den Umstieg von klassischer IDE-Arbeit. — STRUKTUR: 17 Kapitel, ~55.000 Wörter, Onboarding-Checkliste im Anhang, Werkzeug-Vergleichstabellen — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 240 Seiten.\n\n## Kategorie 5: KINDERBÜCHER & ILLUSTRIERTE WERKE\n\n541. **#541** — \"Mimi und die verschwundenen Farben\" — GENRE: Bilderbuch (Vorlesealter) — ZIELGRUPPE: Kinder 3-6 Jahre, Vorlese-Eltern — KONZEPT: Ein Mädchen wacht auf und stellt fest, dass alle Farben aus ihrem Dorf verschwunden sind — sie lernt, dass Farben zurückkehren, wenn man genau hinschaut. — STRUKTUR: 16 Doppelseiten, ~600 Wörter Text gesamt, eine Vollbild-Illustration pro Doppelseite — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 32 Seiten.\n\n542. **#542** — \"Der kleine Deich-Wächter\" — GENRE: Erstlesebuch (Sachwissen in Geschichte verpackt) — ZIELGRUPPE: Kinder 6-8 Jahre, Leseanfänger — KONZEPT: Ein norddeutscher Junge lernt zusammen mit seinem Opa spielerisch, warum Deiche wichtig sind — verpackt als kleines Abenteuer bei einer Sturmflut-Übung. — STRUKTUR: 12 Kapitel à 1-2 Seiten, ~2.500 Wörter, Sachfakten-Kasten am Buchende — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT mit reduziertem Bildanteil und mehr Fließtext pro Kapitel — KDP-FORMAT: 6×9in, Farbe oder S/W, ca. 48 Seiten.\n\n543. **#543** — \"Papa arbeitet im Homeoffice\" — GENRE: Bilderbuch (Alltagsthema) — ZIELGRUPPE: Kinder 3-5, Eltern im Homeoffice — KONZEPT: Bilderbuch, das jungen Kindern erklärt, warum ein Elternteil zuhause ist, aber trotzdem \"arbeitet\" und nicht spielen kann — ein reales Alltagsthema seit der Pandemie-Generation. — STRUKTUR: 14 Doppelseiten, ~450 Wörter — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 28 Seiten.\n\n544. **#544** — \"Das Sparschwein, das rechnen lernte\" — GENRE: Bilderbuch mit Sachwissen (Finanzbildung) — ZIELGRUPPE: Kinder 5-8, Eltern mit Finanzbildungs-Interesse — KONZEPT: Ein sprechendes Sparschwein erklärt Taschengeld, Sparen und den Unterschied zwischen Wunsch und Bedürfnis anhand kleiner Alltagsgeschichten. — STRUKTUR: 10 Kurzgeschichten-Kapitel, ~1.800 Wörter, Eltern-Gesprächsfragen am Ende jedes Kapitels — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 36 Seiten.\n\n545. **#545** — \"Der Roboter, der nicht löschen konnte\" — GENRE: Erstlesebuch (Tech-Thema kindgerecht) — ZIELGRUPPE: Kinder 6-9 Jahre — KONZEPT: Ein kleiner Haushaltsroboter lernt, dass Fehler machen und daraus lernen normal ist — spielerische Einführung in KI-Grundkonzepte. — STRUKTUR: 10 Kapitel, ~3.000 Wörter, Eltern-Infobox \"Was ist eigentlich KI?\" am Ende — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 6×9in, Farbe oder S/W, ca. 44 Seiten.\n\n546. **#546** — \"Oma erzählt vom Berg\" — GENRE: Bilderbuch (Familiengeschichte) — ZIELGRUPPE: Kinder 5-8 mit Großeltern-Bezug, Familien — KONZEPT: Bilderbuch-Biografie-Hybrid, in dem ein Kind der Großmutter zuhört, wie das Leben im Erzgebirge vor dem Mauerfall war — generationenübergreifende Familiengeschichte kindgerecht erzählt. — STRUKTUR: 18 Doppelseiten, ~700 Wörter — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 36 Seiten.\n\n547. **#547** — \"Das Zahlenmonster im Klassenzimmer\" — GENRE: Bilderbuch mit Lernspiel-Elementen — ZIELGRUPPE: Kinder 6-7, Erstklässler — KONZEPT: Aktivierendes Bilderbuch mit eingebauten kleinen Rechenaufgaben im Bildtext, das Matheangst bei Erstklässlern spielerisch abbaut. — STRUKTUR: 16 Doppelseiten, ~500 Wörter plus 8 eingebettete Rechenrätsel — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT, ergänzt um eine `.raetsel-box`-Klasse für die Rechenrätsel — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 32 Seiten.\n\n548. **#548** — \"Der Weltraumbahnhof hinterm Kornfeld\" — GENRE: Bilderbuch (Fantasie, Raumfahrt-Thema kindgerecht) — ZIELGRUPPE: Kinder 4-7 mit Weltraum-Begeisterung — KONZEPT: Kindgerechte Fantasie-Geschichte, die die Vorstellung eines ländlichen Raumhafens der Zukunft mit heutiger Dorfrealität verbindet — eigenständiges Kinderbuch-Konzept, klar unterschieden vom bestehenden Sachbuch \"Das Zeitalter der Raumfahrt\". — STRUKTUR: 16 Doppelseiten, ~550 Wörter — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 32 Seiten.\n\n549. **#549** — \"Ein Tag ohne Handy\" — GENRE: Bilderbuch (Medienkompetenz-Thema) — ZIELGRUPPE: Kinder 4-7, Familien mit Bildschirmzeit-Diskussionen — KONZEPT: Aus Kindersicht erzählt, was an einem handyfreien Sonntag alles Neues entdeckt wird — für Familien, in denen Eltern über Bildschirmzeit streiten. — STRUKTUR: 14 Doppelseiten, ~480 Wörter, Eltern-Tipps-Seite am Ende — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 28 Seiten.\n\n550. **#550** — \"Die mutige Biene Frida\" — GENRE: Bilderbuch (Umweltbildung) — ZIELGRUPPE: Kinder 4-8, umweltinteressierte Familien — KONZEPT: Eine Biene erlebt den Rückgang von Wildblumenwiesen und motiviert Kinder, eigene Balkon-Blumenkästen anzulegen. — STRUKTUR: 18 Doppelseiten, ~650 Wörter, praktische \"So pflanzt du dein eigenes Bienenbeet\"-Anleitung am Ende — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 36 Seiten.\n\n## Kategorie 6: LYRIK & KURZGESCHICHTEN\n\n551. **#551** — \"Zwischen zwei Systemen\" — GENRE: Lyrik — ZIELGRUPPE: Leser deutscher Gegenwartslyrik, Nachwende-Thema-Interessierte — KONZEPT: Lyrikband über die Nachwendegeneration, die zwischen DDR-Kindheit und westdeutscher Jugend aufwuchs, mit freien Versen und teils zweisprachigen Ost-Jargon-Einschüben. — STRUKTUR: 4 Zyklen à ca. 15 Gedichte, ~60 Gedichte gesamt — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 120 Seiten.\n\n552. **#552** — \"Kurzgeschichten aus dem Wartezimmer\" — GENRE: Kurzgeschichtenanthologie — ZIELGRUPPE: Leser literarischer Kurzprosa — KONZEPT: 20 Kurzgeschichten, die alle in Arztwartezimmern spielen — ein ungewöhnlicher gemeinsamer Schauplatz für sehr unterschiedliche Lebensgeschichten. — STRUKTUR: 20 Geschichten à 1.500-3.000 Wörter, ~45.000 Wörter gesamt — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN (Kurzgeschichten-Modus .kurzgeschichte) — KDP-FORMAT: 5,5×8,5in, S/W, ca. 190 Seiten.\n\n553. **#553** — \"Bilanz eines Jahres\" — GENRE: Lyrik (Konzeptband) — ZIELGRUPPE: Lyrik-Sammler, Geschenkbuch-Käufer — KONZEPT: Konzept-Lyrikband, der ein Kalenderjahr in 52 Wochen-Gedichten nachzeichnet, jedes Gedicht mit dem Datum der jeweiligen Woche versehen. — STRUKTUR: 52 Gedichte nach Kalenderwochen geordnet, ~8.000 Wörter — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 100 Seiten.\n\n554. **#554** — \"Die Nachtschicht-Erzählungen\" — GENRE: Kurzgeschichtenanthologie (Milieustudie) — ZIELGRUPPE: Leser realistischer Gegenwartsprosa — KONZEPT: Kurzgeschichtensammlung ausschließlich über Menschen in Nachtschichtberufen (Pflege, Bäckerei, Sicherheitsdienst, Taxifahrer) — ein selten literarisch behandeltes Milieu. — STRUKTUR: 15 Geschichten à 2.000-3.500 Wörter, ~42.000 Wörter — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 175 Seiten.\n\n555. **#555** — \"Haiku für Pendler\" — GENRE: Lyrik (Kurzform) — ZIELGRUPPE: Berufspendler, Lyrik-Einsteiger — KONZEPT: Sammlung von 200 Haiku rund um den Pendleralltag — kompaktes Format für Vielleser mit wenig Zeit. — STRUKTUR: 200 Haiku in 8 thematischen Kapiteln — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN (zentrierte Variante .zentriert für die Dreizeiler) — KDP-FORMAT: 5,5×8,5in, S/W, ca. 110 Seiten.\n\n556. **#556** — \"Erbstücke\" — GENRE: Kurzgeschichtenanthologie — ZIELGRUPPE: Leser generationenübergreifender Erzählungen — KONZEPT: Kurzgeschichten, die jeweils von einem einzigen geerbten Gegenstand (Uhr, Ring, Brief, Möbelstück) ausgehen und daraus eine Familiengeschichte entwickeln. — STRUKTUR: 12 Geschichten à 2.500-4.000 Wörter, ~38.000 Wörter — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 165 Seiten.\n\n557. **#557** — \"Sprechstunde\" — GENRE: Lyrik — ZIELGRUPPE: Leser mit Bezug zu Gesundheitsberufen, literarisch interessiertes Fachpublikum — KONZEPT: Lyrikband aus der Innenperspektive medizinischer Berufe (Ärztin, Pflegekraft, Notfallsanitäter) — nüchterne, klinische Sprache trifft auf existenzielle Themen. — STRUKTUR: 3 Zyklen (Ärztin/Pflege/Notfall) à 18 Gedichte — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 115 Seiten.\n\n558. **#558** — \"Die letzte Buchhandlung der Stadt\" — GENRE: Kurzgeschichtenzyklus / Verbundroman — ZIELGRUPPE: Buchliebhaber, Leser literarischer Prosa — KONZEPT: Kurzgeschichtenzyklus, bei dem alle Geschichten lose durch denselben unabhängigen Buchladen verbunden sind, aus wechselnden Kundenperspektiven erzählt. — STRUKTUR: 14 verbundene Geschichten, ~55.000 Wörter, wiederkehrende Nebenfiguren als roter Faden — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 220 Seiten.\n\n559. **#559** — \"Vaterland, Mutterzunge\" — GENRE: Lyrik (Migrationsliteratur) — ZIELGRUPPE: Leser mit Migrationshintergrund, Interkulturalitäts-Interessierte — KONZEPT: Lyrikband über Migrationserfahrung der zweiten Generation, mit Gedichten, die bewusst zwischen zwei Sprachwelten wechseln. — STRUKTUR: 5 Zyklen à 12 Gedichte, teils zweispaltig gesetzt — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN, ergänzt um zweispaltige Sonderseiten neben .gedicht-block — KDP-FORMAT: 5,5×8,5in, S/W, ca. 130 Seiten.\n\n560. **#560** — \"111 Trostgedichte für schlechte Tage\" — GENRE: Lyrik (Geschenkbuch-Nische) — ZIELGRUPPE: Geschenkkäufer, Menschen in Krisensituationen — KONZEPT: Kompakter Lyrikband als Geschenkbuch für Trauer-, Trennungs- oder Krisenzeiten, mit kurzen, direkt zugänglichen Gedichten statt komplexer Bildsprache. — STRUKTUR: 111 kurze Gedichte, thematisch nach Anlässen sortiert (Trauer/Trennung/Neuanfang) — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 140 Seiten.\n\n## Kategorie 7: BIOGRAFIE & MEMOIR\n\n561. **#561** — \"Der Meister ohne Werkstatt\" — GENRE: Biografie — ZIELGRUPPE: Leser von Aufstiegs-/Neustart-Geschichten, Handwerksmilieu — KONZEPT: Biografie eines deutschen Handwerksmeisters, der seine Werkstatt durch die Finanzkrise 2008 verlor und mit 50 Jahren als Quereinsteiger in der Solarbranche neu anfing. — STRUKTUR: 24 Kapitel, chronologisch, ~70.000 Wörter, Bildteil in der Buchmitte — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 280 Seiten.\n\n562. **#562** — \"Zwischen zwei Grenzen\" — GENRE: Memoir — ZIELGRUPPE: Leser deutsch-deutscher Zeitgeschichte — KONZEPT: Memoir einer Frau, die als Kind über die innerdeutsche Grenze floh und 40 Jahre später als Grenzschutzbeamtin an der EU-Außengrenze arbeitete — ein biografischer Bogen über Grenzerfahrungen. — STRUKTUR: 20 Kapitel, ~65.000 Wörter, Zeittafel im Anhang — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 260 Seiten.\n\n563. **#563** — \"Die Kellnerin, die eine Bank gründete\" — GENRE: Biografie (Unternehmerinnen-Porträt) — ZIELGRUPPE: Leser mit Interesse an Unternehmerinnen-Geschichten — KONZEPT: Biografie einer Frau, die als alleinerziehende Kellnerin begann und über eine Genossenschaftsbank-Gründung im ländlichen Raum zur regionalen Wirtschaftsförderin wurde. — STRUKTUR: 22 Kapitel, ~68.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 270 Seiten.\n\n564. **#564** — \"Fünf Minuten vor der Explosion\" — GENRE: Memoir — ZIELGRUPPE: Sachbuch-/True-Story-Leser — KONZEPT: Memoir eines ehemaligen Kampfmittelräumers, der jahrzehntelang Weltkriegsmunition in deutschen Böden entschärfte — ein wenig beleuchtetes, hochspannendes reales Berufsfeld. — STRUKTUR: 18 Kapitel, ~58.000 Wörter, Glossar Kampfmittelräumungs-Fachbegriffe — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 240 Seiten.\n\n565. **#565** — \"Die Stimme hinter dem Mikrofon\" — GENRE: Biografie — ZIELGRUPPE: Leser mit Medien-/Zeitgeschichte-Interesse — KONZEPT: Biografie einer DDR-Radiomoderatorin, die nach der Wende ihre Karriere im gesamtdeutschen Rundfunk komplett neu aufbauen musste und dabei Zensur-Erfahrungen verarbeitete. — STRUKTUR: 21 Kapitel, ~66.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 265 Seiten.\n\n566. **#566** — \"Schulden, Scham, Neustart\" — GENRE: Memoir mit Ratgeber-Elementen — ZIELGRUPPE: Menschen in Schuldenkrisen — KONZEPT: Anonymisierte Ich-Erzählung, komponiert aus mehreren realen Fallgeschichten, über den Weg aus der Privatinsolvenz zurück in finanzielle Stabilität, mit konkreten Schritten am Kapitelende. — STRUKTUR: 19 Kapitel, ~55.000 Wörter, \"Was ich daraus gelernt habe\"-Boxen am Kapitelende — CSS-TEMPLATE: FIKTION-ROMAN mit kleiner Lernbox-Ergänzung analog .chapter-summary — KDP-FORMAT: 5×8in, S/W, ca. 230 Seiten.\n\n567. **#567** — \"Der letzte Postbote von Wolgast\" — GENRE: Biografie / Regionalporträt — ZIELGRUPPE: Leser regionaler Zeitgeschichte, Ostseeküsten-Interessierte — KONZEPT: Porträt-Biografie eines Landbriefträgers, der 35 Jahre lang dieselbe Ostsee-Küstenroute fuhr und darüber den gesellschaftlichen Wandel einer ganzen Region miterlebte. — STRUKTUR: 16 Kapitel, ~52.000 Wörter, Fotostrecken-Hinweis — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 220 Seiten.\n\n568. **#568** — \"Zwischen OP-Saal und Aktienmarkt\" — GENRE: Memoir (Business-/Finanz-nah) — ZIELGRUPPE: Kostolany-affines Publikum, Ärzte mit Finanzinteresse — KONZEPT: Memoir eines Chirurgen, der neben seinem Klinikberuf über 20 Jahre autodidaktisch an der Börse investierte, über Disziplin, Fehlentscheidungen und die Parallelen zwischen Diagnostik und Marktanalyse. — STRUKTUR: 20 Kapitel, ~62.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 250 Seiten.\n\n569. **#569** — \"Die Frau, die den Wald zurückholte\" — GENRE: Biografie / Umweltporträt — ZIELGRUPPE: Natur-/Klimathema-Leser — KONZEPT: Biografie einer Försterin, die eine monokulturelle Fichtenplantage über 25 Jahre in einen klimaresilienten Mischwald umgebaut hat, gegen Widerstand von Verwaltung und Holzindustrie. — STRUKTUR: 17 Kapitel, ~54.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 225 Seiten.\n\n570. **#570** — \"Vom Fließband zur Führungsetage\" — GENRE: Biografie — ZIELGRUPPE: Leser mit Interesse an Arbeitswelt-/Industriegeschichte — KONZEPT: Biografie eines Automobilarbeiters, der über 30 Jahre vom Fließband bis in den Betriebsrat und schließlich in die Werksleitung aufstieg — eine seltene Innenperspektive auf deutsche Industriekultur. — STRUKTUR: 23 Kapitel, ~70.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 280 Seiten.\n\n## Kategorie 8: KOCHBUCH & LIFESTYLE\n\n571. **#571** — \"Resteküche Ost\" — GENRE: Kochbuch (Regional/Nachhaltigkeit) — ZIELGRUPPE: Nachhaltigkeitsbewusste Hobbyköche, Ost-nostalgisches Publikum — KONZEPT: 60 Rezepte aus ostdeutscher Mangelwirtschafts-Tradition, modern neu interpretiert für heutige Anti-Verschwendungs-Küche (Nose-to-Tail, Reste-Verwertung). — STRUKTUR: 60 Rezepte in 6 Kapiteln, ~30.000 Wörter — CSS-TEMPLATE: RATGEBER-SELFHELP, ergänzt um eine Rezeptkarten-Klasse `.rezept-karte { display:grid; grid-template-columns: 1fr 2fr; }` für Zutaten links / Zubereitung rechts — KDP-FORMAT: 7×10in, Farbe, ca. 180 Seiten.\n\n572. **#572** — \"Feierabendküche für Schichtarbeiter\" — GENRE: Kochbuch (Zielgruppen-Nische) — ZIELGRUPPE: Schichtarbeiter, Pflegekräfte — KONZEPT: Rezepte, die zu jeder Tageszeit funktionieren (auch \"Frühstück um 22 Uhr\") und maximal 20 Minuten Zubereitung brauchen — zugeschnitten auf unregelmäßige Schichtpläne. — STRUKTUR: 50 Rezepte, nach Zubereitungszeit statt Mahlzeit sortiert, ~25.000 Wörter — CSS-TEMPLATE: RATGEBER-SELFHELP plus Rezeptkarten-Grid mit Zeit-Badge oben rechts (`.zeit-badge`) — KDP-FORMAT: 7×10in, Farbe, ca. 160 Seiten.\n\n573. **#573** — \"Ein-Topf-Bilanz\" — GENRE: Kochbuch mit Finanzkomponente — ZIELGRUPPE: Budgetbewusste Haushalte, Studierende, Alleinerziehende — KONZEPT: Kochbuch, das jedem Rezept die tatsächlichen Kosten pro Portion gegenüberstellt (Supermarkt-Durchschnittspreise), um Haushaltsbudgetierung mit Kochen zu verbinden. — STRUKTUR: 45 Rezepte, ~24.000 Wörter, Kosten-pro-Portion-Anzeige auf jeder Rezeptseite — CSS-TEMPLATE: RATGEBER-SELFHELP, Kosten-Badge analog zum `.segment`-Fortschrittsbalken für \"günstig/mittel/teuer\" — KDP-FORMAT: 7×10in, Farbe oder S/W, ca. 150 Seiten.\n\n574. **#574** — \"Balkon-Ernte, ganzes Jahr\" — GENRE: Lifestyle/Kochbuch-Hybrid — ZIELGRUPPE: Balkon-/Stadtgärtner — KONZEPT: Anbaukalender für Balkon- und Kleingärtner, kombiniert mit passenden Rezepten für jede Erntezeit, von März bis Oktober. — STRUKTUR: 8 Monatskapitel mit je 4-5 Rezepten, ~28.000 Wörter, Anbaukalender-Tabelle im Anhang — CSS-TEMPLATE: RATGEBER-SELFHELP mit Rezeptkarten wie #571, zusätzlich Kalender-Tabellen-Styling — KDP-FORMAT: 7×10in, Farbe, ca. 170 Seiten.\n\n575. **#575** — \"Diabetes-freundlich genießen\" — GENRE: Gesundheits-Kochbuch — ZIELGRUPPE: Typ-2-Diabetiker und Angehörige — KONZEPT: Kochbuch mit Glykämischer-Index-Angabe pro Rezept und alltagstauglichen, nicht-asketischen Gerichten statt reinem Verzichts-Kochbuch. — STRUKTUR: 55 Rezepte, ~28.000 Wörter, GI-Wert-Badge pro Rezept, Nährwerttabellen-Anhang — CSS-TEMPLATE: RATGEBER-SELFHELP mit Rezeptkarten inklusive Nährwert-Mini-Tabelle — KDP-FORMAT: 7×10in, Farbe, ca. 175 Seiten.\n\n576. **#576** — \"Die Brotdose neu gedacht\" — GENRE: Kochbuch (Meal-Prep-Nische) — ZIELGRUPPE: Berufstätige Eltern, Schüler-Eltern — KONZEPT: Meal-Prep-Rezepte ausschließlich für Schul-/Arbeits-Brotdosen, die am Vorabend vorbereitet werden und am nächsten Tag noch gut schmecken (Anti-Matsch-Prinzipien). — STRUKTUR: 48 Rezepte in 4 Kategorien (süß/herzhaft/warm/kalt), ~22.000 Wörter — CSS-TEMPLATE: RATGEBER-SELFHELP mit Rezeptkarten-Layout inklusive Haltbarkeits-Badge — KDP-FORMAT: 7×10in, Farbe, ca. 145 Seiten.\n\n577. **#577** — \"Slow Living auf 40 Quadratmetern\" — GENRE: Lifestyle-Ratgeber — ZIELGRUPPE: Stadtbewohner in Kleinwohnungen, Minimalismus-Interessierte — KONZEPT: Minimalistisches Wohnen in Kleinstwohnungen mit konkreten Raumnutzungs-Übungen statt reiner Deko-Inspiration, inklusive Grundriss-Beispielskizzen. — STRUKTUR: 12 Kapitel, ~38.000 Wörter, Übungsboxen \"Diese Woche ausmisten\" — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W oder Farbe, ca. 190 Seiten.\n\n578. **#578** — \"Fermentieren für Anfänger ohne Angst\" — GENRE: Kochbuch (Fermentation-Nische) — ZIELGRUPPE: Fermentations-Einsteiger, Selbstversorger-Interessierte — KONZEPT: Einsteigerfreundliches Fermentations-Kochbuch (Sauerkraut, Kimchi, Kombucha) mit starkem Fokus auf Sicherheits-Checklisten gegen häufige Anfängerfehler und Schimmelbildung. — STRUKTUR: 35 Rezepte plus 6 Grundlagenkapitel, ~30.000 Wörter, Sicherheits-Checkliste je Ferment-Typ — CSS-TEMPLATE: RATGEBER-SELFHELP mit Rezeptkarten und Fermentationsdauer-Timeline-Element — KDP-FORMAT: 7×10in, Farbe, ca. 165 Seiten.\n\n579. **#579** — \"Männerabend-Küche\" — GENRE: Kochbuch (Zielgruppen-Nische Einsteiger) — ZIELGRUPPE: Kochanfänger, frisch Ausgezogene — KONZEPT: Bewusst unkompliziertes Kochbuch mit maximal 6 Zutaten pro Rezept und Null-Vorwissen-Anleitungen für Kochanfänger (häufig Männer nach Trennung/Auszug). — STRUKTUR: 40 Rezepte, ~20.000 Wörter, Grundtechniken-Kapitel am Anfang (Ei braten, Nudeln kochen) — CSS-TEMPLATE: RATGEBER-SELFHELP mit großen, reduzierten Rezeptkarten und max. 6 Zutaten-Icons — KDP-FORMAT: 7×10in, Farbe, ca. 140 Seiten.\n\n580. **#580** — \"Erbrezepte bewahren\" — GENRE: Lifestyle-/Aktivitätsbuch (Low-Content-Hybrid) — ZIELGRUPPE: Familien, die Familienrezepte bewahren wollen — KONZEPT: Anleitungs- und Vorlagenbuch, wie man Familienrezepte von älteren Angehörigen dokumentiert, bevor sie verloren gehen — mit leeren Rezeptvorlagen-Seiten und Interview-Leitfragen. — STRUKTUR: Einleitungskapitel plus 50 leere Rezeptvorlagen-Seiten plus Interview-Fragebogen-Anhang — CSS-TEMPLATE: RATGEBER-SELFHELP mit leerer Rezeptkarten-Vorlage inklusive Schreiblinien (bewusst Print-only, für Kindle ungeeignet) — KDP-FORMAT: 8,5×11in, S/W, ca. 120 Seiten.\n\n## Kategorie 9: NACHSCHLAGEWERKE & KOMPENDIEN\n\n581. **#581** — \"Deep Library: Finanzformeln kompakt\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Studierende BWL/Finance, Finanzpraktiker — KONZEPT: Nachschlagewerk mit allen gängigen Finanzformeln (Zinseszins, Rendite, Sharpe Ratio, Duration) inklusive Herleitung, Anwendungsbeispiel und Excel-Formel-Äquivalent pro Eintrag. — STRUKTUR: 120 Formel-Einträge alphabetisch plus thematisch verlinkt, ~35.000 Wörter, Stichwortverzeichnis am Ende — CSS-TEMPLATE: SACHBUCH-BUSINESS mit dichtem Glossar-Layout `.glossar-eintrag { text-indent: -1.5em; padding-left: 1.5em; }` (hängender Einzug für Definitionslisten-Optik) — KDP-FORMAT: 6×9in, S/W, ca. 220 Seiten.\n\n582. **#582** — \"Das kleine Lexikon der Vertragsklauseln\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Kleinunternehmer, Freelancer — KONZEPT: Die 80 häufigsten Vertragsklauseln in B2B-Verträgen allgemeinverständlich erklärt — keine Rechtsberatung, aber Verständnishilfe vor dem Anwaltstermin. — STRUKTUR: 80 Klausel-Einträge, ~30.000 Wörter, Register nach Vertragstyp — CSS-TEMPLATE: SACHBUCH-BUSINESS mit Glossar-Layout wie #581, zusätzlich Querverweis-Pfeile zwischen verwandten Klauseln — KDP-FORMAT: 6×9in, S/W, ca. 200 Seiten.\n\n583. **#583** — \"Kompendium der Börsen-Slangbegriffe\" — GENRE: Nachschlagewerk / Glossar — ZIELGRUPPE: Börseneinsteiger, Kostolany-Leser, Trading-Community — KONZEPT: Von \"Bulle/Bär\" bis \"FOMO\" und \"Diamond Hands\" — historischer und moderner Börsenjargon in einem Band, mit Herkunftserklärung pro Begriff. — STRUKTUR: 250 Begriffs-Einträge alphabetisch, ~28.000 Wörter — CSS-TEMPLATE: SACHBUCH-BUSINESS mit kompaktem Glossar und großem Initial als Buchstaben-Sektionskopf — KDP-FORMAT: 6×9in, S/W, ca. 190 Seiten.\n\n584. **#584** — \"Handbuch der KI-Fachbegriffe für Nicht-Techniker\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Manager, Entscheider ohne technischen Hintergrund — KONZEPT: 150 KI-/LLM-Fachbegriffe (Token, Embedding, Fine-Tuning, RAG, Halluzination) für ein nicht-technisches Business-Publikum verständlich erklärt. — STRUKTUR: 150 Einträge, ~32.000 Wörter, Analogien-Kästen pro Fachbegriff — CSS-TEMPLATE: SACHBUCH-BUSINESS mit Glossar-Layout und zusätzlicher `.analogie-kasten`-Callout-Variante — KDP-FORMAT: 6×9in, S/W, ca. 210 Seiten.\n\n585. **#585** — \"Das Kompendium der deutschen Fördermittel für Gründer\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Existenzgründer, Gründungsberater — KONZEPT: Übersichtswerk aller wichtigen Förderprogramme (Bund, Länder, EU) für Existenzgründer mit Voraussetzungen, Fristen und Antragsprozess pro Programm; Buch mit explizitem Stand-Datum, da sich Förderlandschaften häufig ändern. — STRUKTUR: 60 Förderprogramm-Einträge strukturiert (Voraussetzung/Höhe/Antrag), ~34.000 Wörter, Index nach Bundesland — CSS-TEMPLATE: SACHBUCH-BUSINESS mit tabellarischem Eintrags-Layout pro Programm — KDP-FORMAT: 6×9in, S/W, ca. 230 Seiten.\n\n586. **#586** — \"Atlas der Anlageklassen\" — GENRE: Nachschlagewerk / Finanz-Kompendium — ZIELGRUPPE: Einsteiger- bis fortgeschrittene Privatanleger — KONZEPT: Jede gängige Anlageklasse (Aktien, Anleihen, Immobilien, Rohstoffe, Krypto, Kunst) im gleichen Raster dargestellt: Risiko, Liquidität, historische Rendite, Einstiegshürde. — STRUKTUR: 18 Anlageklassen-Kapitel im einheitlichen Raster, ~40.000 Wörter, zusammenfassende Vergleichstabelle — CSS-TEMPLATE: SACHBUCH-BUSINESS mit Vergleichs-Rastertabelle — KDP-FORMAT: 6×9in, S/W, ca. 220 Seiten.\n\n587. **#587** — \"Das Handwerker-Normen-Nachschlagewerk light\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Bauherren, Renovierer — KONZEPT: Kompaktes, laienverständliches Nachschlagewerk der wichtigsten DIN-Normen-Grundprinzipien für Bauherren, die mit Handwerkern kommunizieren müssen — kein Ersatz für Fachplanung, aber Verständnishilfe. — STRUKTUR: 45 Themen-Einträge (Elektro/Sanitär/Statik-Grundlagen), ~30.000 Wörter — CSS-TEMPLATE: SACHBUCH-BUSINESS mit Glossar-Layout — KDP-FORMAT: 6×9in, S/W, ca. 195 Seiten.\n\n588. **#588** — \"Kompendium historischer Wirtschaftskrisen\" — GENRE: Nachschlagewerk / Wirtschaftsgeschichte — ZIELGRUPPE: Finanzgeschichte-Interessierte, Kostolany-Leser — KONZEPT: 25 große Wirtschaftskrisen von der Tulpenmanie bis 2008/2020, jeweils in einheitlicher Struktur: Auslöser, Verlauf, Lehren, Parallelen zu heute. — STRUKTUR: 25 Krisen-Kapitel im Raster, ~48.000 Wörter, Zeitstrahl-Übersicht im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 240 Seiten.\n\n589. **#589** — \"Das kleine Lexikon der Fördervereine und Genossenschaften\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Sozialunternehmer, Vereinsgründer — KONZEPT: Genossenschaftliche und Vereins-Rechtsformen für Gründer sozialer Projekte, mit Gegenüberstellung von e.V., eG, gGmbH und deren steuerlichen Grundlagen. — STRUKTUR: 12 Rechtsformen-Kapitel im Vergleichsraster, ~26.000 Wörter, Entscheidungsbaum \"Welche Rechtsform passt?\" im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 175 Seiten.\n\n590. **#590** — \"Sprach-Kompendium für den Berufseinstieg\" — GENRE: Nachschlagewerk / Glossar — ZIELGRUPPE: Berufseinsteiger, Quereinsteiger, Auszubildende — KONZEPT: 200 Business-Anglizismen und Buzzwords (KPI, Onboarding, Stakeholder etc.) einfach erklärt für Berufseinsteiger aus non-akademischen Laufbahnen. — STRUKTUR: 200 Begriffs-Einträge alphabetisch mit Beispielsatz, ~26.000 Wörter — CSS-TEMPLATE: SACHBUCH-BUSINESS mit kompaktem Glossar-Layout — KDP-FORMAT: 6×9in, S/W, ca. 180 Seiten.\n\n## Kategorie 10: NISCHEN/SPEZIAL-KDP-KONZEPTE\n\n591. **#591** — \"Der 90-Tage-Trading-Journal-Planer\" — GENRE: Low-Content-Journal/Planer — ZIELGRUPPE: Aktive Trader — KONZEPT: Strukturiertes Tages-Journal für Daytrader mit Setup, Entry/Exit, Emotion-Tracking pro Tag und Wochenreview-Seiten alle sieben Tage. — STRUKTUR: 90 Tagesseiten plus 13 Wochenreview-Seiten, kein Fließtext, rein strukturierte Formularfelder — CSS-TEMPLATE: eigenständiges Layout nötig, keines der 5 Basis-Templates passt direkt — feste Tabellenraster pro Seite, reine Print-Produktion ohne sinnvolle Kindle-Version — KDP-FORMAT: 6×9in, S/W, ca. 210 Seiten.\n\n592. **#592** — \"Der Dankbarkeits-Planer für Schichtarbeiter\" — GENRE: Low-Content-Journal — ZIELGRUPPE: Schichtarbeiter — KONZEPT: Tages-Journal mit an Schichtrhythmen angepassten Reflexionsfragen (Vor-Schicht-/Nach-Schicht-Format statt generischem \"Guten Morgen\"). — STRUKTUR: 100 Tagesseiten mit Vor-/Nach-Schicht-Feldern, Wochenrückblick alle 7 Seiten — CSS-TEMPLATE: RATGEBER-SELFHELP als Basis für Umschlag/Kapitelseiten, Formularseiten mit eigenem Tabellenraster-Layout — KDP-FORMAT: 6×9in, S/W, ca. 220 Seiten.\n\n593. **#593** — \"Malbuch: Deutsche Bauwerke für Erwachsene\" — GENRE: Ausmalbuch (Erwachsene) — ZIELGRUPPE: Erwachsene Coloring-Fans, Architektur-Interessierte — KONZEPT: 50 detaillierte Linienzeichnungen bekannter deutscher Architektur (Fachwerk, Backsteingotik, Bauhaus) für entspanntes Ausmalen — Nischen-Kombination aus Architekturthema und Coloring-Format. — STRUKTUR: 50 Ausmalseiten (einseitig bedruckt gegen Durchdrücken von Buntstiften), keine Textseiten außer Vorwort — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT als Basis für Vollbild-Bildlayout, aber randlos/einseitig statt beidseitig — eigene Druckvorgabe (nur Vorderseite bedrucken) nötig — KDP-FORMAT: 8,5×11in, S/W-Linienzeichnung, ca. 104 Seiten.\n\n594. **#594** — \"Rätselheft: Zahlenlogik für Senioren\" — GENRE: Rätselbuch — ZIELGRUPPE: Senioren, Gedächtnistraining-Interessierte — KONZEPT: Sudoku, Zahlenschlangen und Logikrätsel in bewusst großer Schrift/großen Feldern für ältere Zielgruppen, progressiv nach Schwierigkeit sortiert. — STRUKTUR: 100 Rätsel in 5 Schwierigkeitsstufen, Lösungsteil am Buchende — CSS-TEMPLATE: eigenständiges Rasterlayout je Rätseltyp (CSS Grid), keines der 5 Basis-Templates passt direkt — KDP-FORMAT: 8,5×11in (große Felder brauchen großes Format), S/W, ca. 130 Seiten.\n\n595. **#595** — \"Der Haushaltsbuch-Planer für Alleinerziehende\" — GENRE: Low-Content-Planer (Finanzen) — ZIELGRUPPE: Alleinerziehende — KONZEPT: Finanz-Journal mit vorstrukturierten Monatsseiten speziell für unregelmäßiges Einkommen (Unterhalt, Teilzeit, Kindergeld) statt generischer Festgehalt-Logik anderer Haushaltsbücher. — STRUKTUR: 12 Monatsdoppelseiten mit Einnahmen-/Ausgabenraster, Jahresübersicht am Ende — CSS-TEMPLATE: SACHBUCH-BUSINESS als Basis für Umschlag/Erklärseiten, Tabellenraster für Buchungsseiten eigenständig — KDP-FORMAT: 8,5×11in, S/W, ca. 60 Seiten.\n\n596. **#596** — \"52-Wochen-Journal für Vereinskassenwarte\" — GENRE: Low-Content-Planer (Ehrenamt-Nische) — ZIELGRUPPE: Ehrenamtliche Vereinskassenwarte — KONZEPT: Sehr spezifisches Nischenprodukt: strukturierter Wochenplaner für ehrenamtliche Kassenwarte in Vereinen, mit Feldern für Mitgliedsbeiträge, Spenden und einer Belege-Checkliste. — STRUKTUR: 52 Wochenseiten plus Jahresabschluss-Vorlage, Belegablage-Checkliste pro Woche — CSS-TEMPLATE: eigenständiges Formular-/Tabellenlayout, keine Basis-Vorlage direkt passend — KDP-FORMAT: 8,5×11in, S/W, ca. 70 Seiten.\n\n597. **#597** — \"Wimmelbuch: Ein Tag im Hafen\" — GENRE: Wimmel-/Suchbuch (Kinder) — ZIELGRUPPE: Kinder 4-8 — KONZEPT: Wimmelbild-Suchbuch ohne Fließtext mit Suchlisten pro Doppelseite (\"Finde 5 rote Container\") in Hamburg-/Bremerhaven-Hafenszenen. — STRUKTUR: 10 Doppelseiten-Szenen mit je 8-10 Suchobjekten in Suchliste, kein Fließtext — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT als Basis (Vollbild-Illustration), Suchlisten-Leiste am Seitenrand als kleine inline-Ergänzung — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 24 Seiten.\n\n598. **#598** — \"Der Prompt-Journal für Autoren\" — GENRE: Low-Content-Journal (Kreatives Schreiben) — ZIELGRUPPE: Hobbyautoren, Creative-Writing-Kurse — KONZEPT: Kreatives Schreibjournal mit 150 Schreibimpulsen (Prompts) für angehende Autoren, jeweils eine leere Seite pro Prompt zum handschriftlichen Ausarbeiten. — STRUKTUR: 150 Prompt-Seiten mit Schreiblinien, thematisch in 6 Kapitel gegliedert — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN als Basis für Prompt-Überschriften, Schreiblinien-Raster eigenständig (`repeating-linear-gradient` für liniertes Papier) — KDP-FORMAT: 6×9in, S/W, ca. 160 Seiten.\n\n599. **#599** — \"Kreuzworträtsel-Sammlung: Finanzbegriffe\" — GENRE: Rätselbuch (Themen-Nische) — ZIELGRUPPE: Finanzinteressierte Rätsel-Fans — KONZEPT: Themen-Kreuzworträtselheft ausschließlich mit Finanz- und Börsenbegriffen als Lösungswörter — Crossover aus Rätselbuch und Finanzbildung, passend zum bestehenden Kostolany-Publikum. — STRUKTUR: 60 Kreuzworträtsel unterschiedlicher Größe, Lösungsteil am Ende, kurzes Finanzglossar als Bonus — CSS-TEMPLATE: eigenständiges Rätselraster-Layout (CSS Grid mit nummerierten Zellen), keine Basis-Vorlage passend — KDP-FORMAT: 8,5×11in, S/W, ca. 140 Seiten.\n\n600. **#600** — \"Der Wochenplaner für Wechselmodell-Familien\" — GENRE: Low-Content-Planer (Familien-Nische) — ZIELGRUPPE: Getrennt erziehende Eltern im Wechselmodell — KONZEPT: Spezialisierter Familienplaner mit synchronisierbaren Doppelwochen-Ansichten und Übergabe-Checklisten (Schulsachen, Medikamente) pro Wechsel. — STRUKTUR: 26 Doppelwochen-Spreads (ein Jahr), Übergabe-Checkliste pro Wechsel, Kontaktdaten-Seite (Kinderarzt, Schule) am Anfang — CSS-TEMPLATE: RATGEBER-SELFHELP als Basis für Erklärseiten, Kalenderraster-Layout eigenständig (zwei synchron laufende Wochenspalten) — KDP-FORMAT: 8,5×11in, S/W, ca. 80 Seiten.\n\n=== ENDE ===\n\n## Hinweis\n\n**CSS-Paginierungsgrenze (wiederholt für die Produktionspraxis):** Alle fünf CSS-Templates in Part A liefern ausschließlich Typografie, Umbrüche und die Trim-Box für `print-version.html`. Fortlaufende Seitenzahlen und wechselnde lebende Kolumnentitel — beides für ein professionelles KDP-Print-Interieur erwartet — lassen sich mit reinem CSS im aktuellen Headless-Chrome-Rendering-Schritt der Produktionspipeline **nicht** zuverlässig erzeugen. Wer diese Buchprojekte tatsächlich in den Druck bringt, muss zusätzlich entweder (a) einen Paged.js-Rendering-Schritt vor der PDF-Erzeugung einplanen, oder (b) Seitenzahlen/Kolumnentitel nachträglich in das fertige PDF einfügen. Dies betrifft alle 100 Prompts in Part B gleichermaßen und ist kein Fehler der Templates, sondern eine Werkzeuggrenze von Headless Chrome als Rendering-Engine.\n\n**Abgrenzung zu bestehenden Titeln:** Alle 100 Konzepte in diesem Batch sind neu und wurden bewusst so entwickelt, dass sie sich nicht mit bereits produzierten Titeln überschneiden — insbesondere nicht mit \"Vom Obdachlosen zum Millionär\", \"Das Geschenk der Freiheit\", der \"CODE GENITOR\"-Trilogie, \"Die Kunst der Börsenspekulation\" (Kostolany), \"The LLM Atlas 2026\" und \"Das Zeitalter der Raumfahrt\". Wo thematische Nähe besteht (z. B. #533 zu \"LLM Atlas 2026\", #548 zu \"Das Zeitalter der Raumfahrt\", #568/#583/#588/#599 zum Kostolany-Themenfeld, #561/#566 zum \"Vom Obdachlosen zum Millionär\"-Themenfeld), wurde der jeweilige Prompt explizit auf einen eigenständigen Blickwinkel, eine andere Zielgruppe oder ein anderes Format zugeschnitten, um Doppelproduktion zu vermeiden.\n",
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            "overview": "DOMVS AVREA ARCHIVE INTELLIGENCE EXPANSION ROADMAP Stand: 2026-09-06 ====================================================================== 1. REVIEW-ERGEBNIS ====================================================================== Das Projekt ist bereits weit mehr als ein Markdown-Browser: Archive → Search / RAG → Graph → Readiness / Rebuildability → Project Genome → Fusion → Mutation → Build Factory → Context Pack Die nächste sinnvolle Entwicklungsstufe ist ein versioniertes \"Evidence-to-Execution Control Plane\": Archive Snapshot → Sanitized Evidence → Provenance Ledger → Build Package → Acceptance Plan → App Bootstrap → Validation Run → Change Detection → Rebuild / Release Decision Stärken des aktuellen Systems: - Originale Markdown-Dateien bleiben unverändert. - Die Analyse ist statisch, nachvollziehbar und dependency-light. - Der zentrale Generator erzeugt eine einheitliche Int",
            "content": "DOMVS AVREA ARCHIVE INTELLIGENCE\nEXPANSION ROADMAP\nStand: 2026-09-06\n\n======================================================================\n1. REVIEW-ERGEBNIS\n======================================================================\n\nDas Projekt ist bereits weit mehr als ein Markdown-Browser:\n\nArchive\n→ Search / RAG\n→ Graph\n→ Readiness / Rebuildability\n→ Project Genome\n→ Fusion\n→ Mutation\n→ Build Factory\n→ Context Pack\n\nDie nächste sinnvolle Entwicklungsstufe ist ein versioniertes\n\"Evidence-to-Execution Control Plane\":\n\nArchive Snapshot\n→ Sanitized Evidence\n→ Provenance Ledger\n→ Build Package\n→ Acceptance Plan\n→ App Bootstrap\n→ Validation Run\n→ Change Detection\n→ Rebuild / Release Decision\n\nStärken des aktuellen Systems:\n\n- Originale Markdown-Dateien bleiben unverändert.\n- Die Analyse ist statisch, nachvollziehbar und dependency-light.\n- Der zentrale Generator erzeugt eine einheitliche Intelligence-Suite.\n- Project Genome verbindet Produkt-, Technik-, Risiko- und Rebuild-Signale.\n- Fusion Briefs können mehrere Archivprojekte kombinieren.\n- Mutation Paths können direkt an die Build Factory übergeben werden.\n- Graph Studio macht Beziehungen, Blast Radius und Tech-Ecosystems sichtbar.\n- Stack Snapshot und optionale Live-Evidence werden getrennt behandelt.\n- Security-Findings werden in der Intelligence-Ausgabe maskiert.\n- RAG besitzt Heading-Chunks, Hybrid Search, Citations und Offline-Fallbacks.\n\nWichtigste Risiken und Grenzen:\n\n- RAG-Chunks und Vektor-Exporte werden aus normalisiertem Originaltext erzeugt.\n  Die Maskierung greift derzeit vor allem im Chat-Pfad, nicht zwingend an der\n  öffentlichen Exportgrenze.\n- Der Chat kann bis zu 12.000 Zeichen aus Chunks plus bis zu 60.000 Zeichen\n  eines vollständigen Dokuments senden. Das ist größer als ein konsequent\n  begrenzter Retrieval-Kontext.\n- Intelligence-Daten und RAG-Daten können aus unterschiedlichen\n  Generationszeitpunkten stammen. Es fehlt ein verbindlicher Hash-Abgleich.\n- Relative Creation Dates werden bei jeder Generierung erneut geschätzt.\n  Ein unveränderter Snapshot kann dadurch scheinbar altern.\n- Readiness- und Rebuildability-Scores sind Heuristiken. Erwähnte Tests oder\n  Deployments sind noch kein nachgewiesener erfolgreicher Test oder Build.\n- Der zentrale Generator enthält große HTML-, CSS- und JavaScript-Blöcke in\n  einer Datei. Das erschwert gezielte Tests und sichere Erweiterungen.\n- Browserseitige Vollscans über Chunks und Vektoren werden bei größerem Corpus\n  zunehmend teuer.\n- Build Factory erzeugt bereits gute Spezifikationen, aber noch kein\n  versioniertes, erneut importierbares und validierbares Build Package.\n\n\n======================================================================\n2. LEITPRINZIPIEN FÜR ALLE AUSBAUSTUFEN\n======================================================================\n\n1. Source Markdown bleibt immutable.\n2. Kein Secret darf in einen öffentlichen HTML-, JSON-, JSONL- oder\n   Vektor-Export gelangen.\n3. Snapshot-Evidence, abgeleitete Heuristik und Live-Evidence bleiben getrennt.\n4. Jede wichtige Behauptung braucht eine Source-ID oder wird als Annahme\n   markiert.\n5. Kein Score darf Build-, Test- oder Deployment-Erfolg behaupten, wenn dafür\n   keine ausführbare Evidence existiert.\n6. Remote-LLM- und Embedding-Aufrufe erhalten nur maskierte, begrenzte Daten.\n7. Generierte Packages müssen versioniert, reproduzierbar und erneut\n   importierbar sein.\n8. Abgeleitete Beziehungen bleiben Vorschläge, bis sie bestätigt wurden.\n9. Statische Nutzung und Offline-Fallback bleiben Kernfähigkeiten.\n10. Neue Features benötigen messbare Akzeptanzkriterien.\n\n\n======================================================================\n3. AUSBAUSTUFE 0 — SAFE PUBLICATION BOUNDARY\nPriorität: P0 / vor jeder Veröffentlichung\n======================================================================\n\n3.1 Sanitized Corpus Compiler\n\nZiel:\nEine zentrale Sanitization-Schicht vor allen öffentlichen Exporten.\n\nFeatures:\n\n- Maskierung vor Chunking, Embedding und Browser-Indexierung.\n- Erkennung von Credential-Zuweisungen, Tokens, privaten Hosts,\n  Connection Strings und sensitiven Headern.\n- Allowlist für ausdrücklich harmlose Platzhalter und Variablennamen.\n- Zwei getrennte Artefaktklassen:\n  - private source inventory\n  - sanitized publishable corpus\n- Build-Abbruch, wenn ein öffentlicher Export verbotene Muster enthält.\n- Security-Report enthält nur Datei, Zeile, Finding-Typ und Hash; niemals den\n  gefundenen Wert.\n\nDone:\n\n- Kein erkanntes Credential-Muster befindet sich in veröffentlichten RAG-,\n  HTML-, JSON-, JSONL- oder Vektor-Artefakten.\n- Embeddings werden ausschließlich aus sanitized text erzeugt.\n- Ein Fixture mit absichtlich eingebauten Test-Secrets stoppt den Build.\n- Maskierte Texte behalten Heading-Struktur und stabile Source-IDs.\n\n\n3.2 Hard Context Budget\n\nZiel:\nEin einziges überprüfbares Gesamtbudget für Chat-Kontext.\n\nFeatures:\n\n- Gemeinsames Zeichen- oder Token-Budget für:\n  - Chunks\n  - benachbarte Chunks\n  - Zitate\n  - optionale Dokumentauszüge\n- Kein vollständiges 60.000-Zeichen-Dokument im Standardpfad.\n- Stattdessen bounded neighborhood retrieval um relevante Headings.\n- Sichtbare Anzeige:\n  - verwendete Quellen\n  - verwendete Zeichen\n  - ausgelassene Chunks\n  - truncation reason\n- Harte Ablehnung übergroßer Payloads.\n\nDone:\n\n- Kein Request überschreitet das konfigurierte Gesamtbudget.\n- Tests decken leere, große und adversariale Dokumente ab.\n- Antwortzitate verweisen nur auf tatsächlich gesendete Evidence.\n\n\n3.3 Remote Egress Transparency\n\nZiel:\nKlar anzeigen, welche Daten lokal bleiben und welche einen Proxy verlassen.\n\nFeatures:\n\n- Data-flow-Hinweis vor Semantic Search und Grounded Chat.\n- Anzeige von Provider-Route, Modellklasse und Payload-Kategorie.\n- Keine Anzeige oder Speicherung von Zugangsdaten.\n- Optionaler \"local only\"-Modus ohne Remote Requests.\n- Exportierbares Egress-Protokoll mit Counts und Source-IDs, aber ohne Inhalt.\n\nDone:\n\n- Nutzer kann vor dem ersten Remote-Aufruf zustimmen oder Local-only wählen.\n- Local-only Search funktioniert ohne Netzwerk.\n- Remote Requests enthalten nur sanitized Evidence.\n\n\n======================================================================\n4. AUSBAUSTUFE 1 — PROVENANCE UND REPRODUZIERBARKEIT\nPriorität: P1\n======================================================================\n\n4.1 Archive Provenance Manifest\n\nZiel:\nJedes abgeleitete Artefakt ist einem konkreten Archive Snapshot zugeordnet.\n\nManifest-Felder:\n\n- schema_version\n- build_id\n- captured_at\n- generated_at\n- source_count\n- source_path\n- normalized_source_hash\n- sanitized_source_hash\n- chunk_ids\n- generator_version\n- configuration_hash\n- parent_build_id\n\nFeatures:\n\n- Hash jedes normalisierten Quelldokuments.\n- Hash des gesamten Corpus.\n- Hash-Verweise in Intelligence-, RAG- und Build-Package-Artefakten.\n- Generator stoppt bei gemischten oder veralteten Eingaben.\n- Manifest Viewer im Control Room.\n\nDone:\n\n- Jedes Tool zeigt Build-ID und Snapshot-ID.\n- RAG und Archive Intelligence können nicht still aus unterschiedlichen\n  Snapshots kompiliert werden.\n- Gleiche Inputs erzeugen gleiche Source- und Corpus-Hashes.\n\n\n4.2 Immutable Stack Snapshot Dates\n\nZiel:\nRelative Datumsangaben nicht bei jedem Build neu interpretieren.\n\nFeatures:\n\n- Separates captured_at für replit-stack-komplett.txt.\n- estimated_created_at wird einmal relativ zum captured_at berechnet.\n- estimated_created_at_source dokumentiert:\n  - raw relative label\n  - snapshot timestamp\n  - estimation rule\n- Neu-Interpretation nur bei explizitem Snapshot-Import.\n\nDone:\n\n- Wiederholte Builds desselben Snapshots erzeugen identische Schätzungen.\n- UI kennzeichnet weiterhin jede Schätzung als ungefähr.\n\n\n4.3 Deterministic Incremental Builds\n\nZiel:\nNur geänderte Dokumente und abhängige Artefakte neu erzeugen.\n\nFeatures:\n\n- Hash-basierter Build Cache.\n- Dependency Map:\n  source → chunks → embeddings → intelligence → packages\n- Gelöschte oder umbenannte Quellen entfernen alte Derived Records.\n- Build Report mit reused / rebuilt / removed.\n\nDone:\n\n- Eine einzelne Markdown-Änderung erzeugt nur die notwendigen Folgeartefakte.\n- Ein vollständiger Clean Build und ein Incremental Build sind inhaltlich\n  äquivalent.\n\n\n======================================================================\n5. AUSBAUSTUFE 2 — VERSIONED BUILD PACKAGES\nPriorität: P1 / höchster Produktwert\n======================================================================\n\n5.1 Build Package Compiler\n\nZiel:\nAus Genome, Fusion oder Mutation entsteht ein versioniertes,\nmaschinenlesbares Build Package.\n\nAusgaben:\n\n- build-package.json\n- BUILD-PACKAGE.md\n- acceptance-plan.json\n- ACCEPTANCE-PLAN.md\n- agent-handoff.md\n\nPackage-Inhalt:\n\n- package_id\n- package_version\n- archive_snapshot_id\n- source projects\n- cited source IDs und chunk IDs\n- product contract\n- target users\n- primary workflows\n- functional requirements\n- non-functional requirements\n- non-goals\n- architecture decision records\n- stack decision\n- dependencies\n- environment variable names, niemals Werte\n- assumptions\n- conflicts\n- security gates\n- milestones\n- acceptance cases\n- rollback strategy\n\nDone:\n\n- Jede Requirement besitzt mindestens eine Evidence-ID oder explicit_assumption.\n- Package lässt sich erneut importieren und validieren.\n- Export → Import → Export bleibt bis auf Zeitstempel semantisch identisch.\n- Ungültige Schema-Versionen und manipulierte Hashes werden abgelehnt.\n\n\n5.2 Build Package Studio\n\nZiel:\nVisuelle Review- und Compiler-Oberfläche vor dem App-Start.\n\nFeatures:\n\n- Evidence / Decisions / Requirements / Risks / Tests als Tabs.\n- Requirement kann mit Evidence verbunden oder als Annahme markiert werden.\n- Conflict Resolver für widersprüchliche Projektentscheidungen.\n- Source Preview mit exakter Heading-Position.\n- Package Quality Meter:\n  - evidence coverage\n  - unresolved conflicts\n  - P0 test coverage\n  - security gates\n  - stale sources\n- Markdown- und JSON-Export.\n\nDone:\n\n- Package kann ohne Textdatei-Bearbeitung vollständig geprüft werden.\n- Unaufgelöste P0-Konflikte blockieren \"Ready for Build\".\n\n\n5.3 Fusion Conflict Matrix\n\nZiel:\nFusionen zeigen nicht nur Gemeinsamkeiten, sondern explizite Widersprüche.\n\nKonfliktklassen:\n\n- Frontend Framework\n- Backend / API\n- Datenbank\n- Auth\n- Deployment\n- State Management\n- Styling\n- Datenmodell\n- Produktversprechen\n- Zielgruppe\n- Lizenz / externe Abhängigkeit\n\nFeatures:\n\n- Entscheidung pro Konflikt:\n  - prefer source A\n  - prefer source B\n  - merge\n  - replace\n  - unresolved\n- Begründung und Evidence-Link.\n- Konfliktentscheidungen fließen in Build Package und ADRs.\n\nDone:\n\n- Kein erkannter Architekturkonflikt verschwindet still im Fusion Brief.\n- Jede Entscheidung besitzt Owner, Status und Begründung.\n\n\n======================================================================\n6. AUSBAUSTUFE 3 — ACCEPTANCE PLANNER UND RELEASE GATES\nPriorität: P1\n======================================================================\n\n6.1 Requirement-to-Test Traceability\n\nZiel:\nJede wichtige Anforderung wird mit einem überprüfbaren Acceptance Case\nverbunden.\n\nAcceptance Case:\n\n- case_id\n- requirement_id\n- priority\n- given / when / then\n- test type\n- manual or automated\n- command\n- expected result\n- evidence\n- status\n- artifact links\n\nDone:\n\n- 100 Prozent der P0 Requirements besitzen einen Test oder eine ausdrücklich\n  genehmigte Ausnahme.\n- Traceability Matrix wird als Markdown und JSON exportiert.\n\n\n6.2 Validation Runner\n\nZiel:\nBuild Packages können definierte Checks ausführen und Ergebnisse importieren.\n\nFeatures:\n\n- Unterstützte Check-Klassen:\n  - syntax\n  - unit\n  - integration\n  - browser DOM\n  - accessibility\n  - security scan\n  - link integrity\n  - workflow health\n- Result Bundle mit Zeit, Exit Code, Logs, Screenshot-Referenz und Package-ID.\n- P0 Gate blockiert Release bei failed oder unrun.\n\nDone:\n\n- Ein Package zeigt reproduzierbar pass / fail / blocked / not-run.\n- Ergebnisse sind von heuristischen Readiness-Scores getrennt.\n\n\n6.3 Evidence-grade Readiness\n\nZiel:\nReadiness klar nach Evidenzqualität unterscheiden.\n\nGrades:\n\n- documented: im Markdown beschrieben\n- inferred: aus Struktur oder Keywords abgeleitet\n- configured: in Code oder Workflow vorhanden\n- executed: Check wurde ausgeführt\n- verified: Acceptance Case ist bestanden\n- live: aktuelle externe Evidence\n\nDone:\n\n- UI und Exporte zeigen den Evidence Grade jeder Aussage.\n- \"Tests vorhanden\" und \"Tests bestanden\" sind niemals dieselbe Kennzahl.\n\n\n======================================================================\n7. AUSBAUSTUFE 4 — CHANGE DETECTION UND IMPACT ENGINE\nPriorität: P1/P2\n======================================================================\n\n7.1 Snapshot Diff\n\nZiel:\nZwei Archive Builds deterministisch vergleichen.\n\nDiff-Ebenen:\n\n- neue / entfernte / geänderte Quellen\n- Heading-Änderungen\n- Chunk-Änderungen\n- Dependency-Änderungen\n- Security-Findings\n- Readiness-Signale\n- Graph-Knoten und Kanten\n- Stack Snapshot Status\n\nDone:\n\n- Jeder Unterschied enthält alte und neue Evidence-ID.\n- Reine Zeitstempeländerungen erzeugen keinen inhaltlichen Diff.\n\n\n7.2 Stale Package Gate\n\nZiel:\nErkennen, ob ein früheres Build Package noch gültig ist.\n\nFeatures:\n\n- Package wird nur stale, wenn sich zitierte Sources, Dependencies,\n  Entscheidungen oder Gates geändert haben.\n- Impact-Erklärung:\n  - affected requirement\n  - changed evidence\n  - risk level\n  - recommended action\n- Optionen:\n  - accept unchanged\n  - regenerate section\n  - rebuild package\n  - archive package\n\nDone:\n\n- Änderungen außerhalb der Package-Evidence markieren das Package nicht\n  fälschlich als stale.\n- Jede Stale-Markierung ist erklärbar.\n\n\n7.3 Dependency Blast-to-Action\n\nZiel:\nGraph Studio nicht nur analysieren, sondern handlungsorientiert machen.\n\nFeatures:\n\n- Auswahl eines Dependency- oder Security-Knotens.\n- Liste betroffener Projekte und Packages.\n- Automatisch erzeugte Migration Checklist.\n- Priorisierung nach:\n  - Anzahl betroffener Projekte\n  - Package-Kritikalität\n  - Security Severity\n  - Rebuildability\n- Export als Impact Pack.\n\nDone:\n\n- Jeder Impact-Punkt verlinkt auf konkrete Projekte und Evidence.\n\n\n======================================================================\n8. AUSBAUSTUFE 5 — RAG QUALITY LAB\nPriorität: P1/P2\n======================================================================\n\n8.1 Retrieval Evaluation Dataset\n\nZiel:\nSearch-Qualität messbar statt nur subjektiv machen.\n\nDataset:\n\n- 30 bis 50 repräsentative Fragen\n- erwartete Source-IDs\n- erwartete Headings\n- negative cases\n- ambiguity cases\n- security redaction cases\n\nMetriken:\n\n- Recall@1 / @3 / @5\n- Mean Reciprocal Rank\n- citation validity\n- unsupported claim rate\n- unsafe answer rate\n- latency\n- remote payload size\n\nDone:\n\n- Jeder Generator-Build erzeugt einen Retrieval Quality Report.\n- Regressionen unter definierte Baselines blockieren den Release.\n\n\n8.2 Chunking Workbench\n\nZiel:\nHeading-, Größen- und Overlap-Strategien vergleichbar machen.\n\nFeatures:\n\n- Varianten:\n  - heading only\n  - fixed size\n  - heading plus overlap\n  - semantic section\n- Side-by-side Query Results.\n- Chunk Boundary Preview.\n- Metrikvergleich aus dem Evaluation Dataset.\n\nDone:\n\n- Gewählte Chunking-Strategie ist durch Messwerte begründet.\n\n\n8.3 Citation Auditor\n\nZiel:\nPrüfen, ob Antworten wirklich von den angegebenen Quellen getragen werden.\n\nFeatures:\n\n- Claim-Segmentierung.\n- Citation Coverage pro Claim.\n- Link auf exakten Evidence-Ausschnitt.\n- Kennzeichnung:\n  - supported\n  - partially supported\n  - unsupported\n  - citation missing\n- Kein automatisches Umschreiben der Quelle.\n\nDone:\n\n- Jede faktische Chat-Aussage hat mindestens eine überprüfbare Citation oder\n  wird als unbelegt markiert.\n\n\n8.4 Scalable Static Retrieval\n\nZiel:\nSchneller Start und stabile Suche bei deutlich größerem Corpus.\n\nFeatures:\n\n- Shards nach Domain, Cluster oder Corpus-Typ.\n- Lazy Loading pro Collection.\n- Web Worker für Ranking.\n- Precomputed Candidate Lists oder statischer ANN-Index.\n- Performance Budget für HTML, Metadata und Vector Load.\n\nDone:\n\n- Initiale Seite lädt ohne vollständige Vektordatei.\n- Suche bleibt auch bei 10-fachem Corpus interaktiv.\n\n\n======================================================================\n9. AUSBAUSTUFE 6 — GRAPH INTELLIGENCE 2.0\nPriorität: P2\n======================================================================\n\n9.1 Project Lineage\n\nZiel:\nVorgänger, Forks, Varianten und Nachfolger unterscheiden.\n\nFeatures:\n\n- Suggested lineage aus Namen, Stack, Textähnlichkeit und Zeit-Evidence.\n- Jede Kante zeigt Score und verwendete Signale.\n- Nutzer kann accept / reject / replace.\n- Bestätigte Overrides überleben Regeneration.\n\nDone:\n\n- Inferred Lineage wird nie als bestätigte Tatsache dargestellt.\n- Akzeptierte Kanten fließen in Genome und Build Package.\n\n\n9.2 Duplicate and Component Mining\n\nZiel:\nWiederverwendbare Produkt- und Codebausteine im Archiv finden.\n\nFeatures:\n\n- Ähnliche Auth-, Dashboard-, Search-, Export- und Data-Layer erkennen.\n- Gruppierung in Component Families.\n- Best Candidate nach Evidence, Readiness und Aktualität.\n- \"Reuse / Rewrite / Avoid\"-Empfehlung mit Begründung.\n\nDone:\n\n- Jede Empfehlung nennt Quellen und Konflikte.\n- Keine automatische Codeübernahme ohne Review.\n\n\n9.3 Architecture Pattern Atlas\n\nZiel:\nWiederkehrende Architekturen als Musterbibliothek sichtbar machen.\n\nBeispiele:\n\n- static single-page tool\n- React frontend plus API\n- data dashboard\n- RAG application\n- ecommerce\n- content publishing\n- workflow automation\n\nDone:\n\n- Pattern besitzt Projekte, Stack, Stärken, Risiken und passende Build Recipes.\n\n\n======================================================================\n10. AUSBAUSTUFE 7 — NEW APP BOOTSTRAP\nPriorität: P2\n======================================================================\n\n10.1 Agent-ready Scaffold Manifest\n\nZiel:\nEin freigegebenes Build Package wird zu einem sicheren App-Start.\n\nManifest:\n\n- stack\n- directory structure\n- required files\n- package names\n- workflow command\n- environment variable names\n- milestones\n- acceptance commands\n- non-goals\n- source package ID\n\nDone:\n\n- Ein Agent kann ohne weitere Archivrecherche mit dem Build beginnen.\n- Keine Secret-Werte befinden sich im Manifest.\n- Der gestartete Build referenziert sein Source Package.\n\n\n10.2 Starter Generator\n\nZiel:\nAus dem Scaffold Manifest eine minimale lauffähige Projektbasis erzeugen.\n\nFeatures:\n\n- dry-run file plan\n- conflict preview\n- explicit approval\n- starter code\n- workflow setup\n- baseline tests\n- README mit Package-Provenance\n\nDone:\n\n- Generiertes Projekt startet über den konfigurierten Workflow.\n- Baseline Acceptance Cases laufen.\n- Originalarchiv und bestehende Projekte bleiben unverändert.\n\n\n10.3 Build Progress Import\n\nZiel:\nFortschritt aus dem neuen Projekt zurück in die Factory spiegeln.\n\nFeatures:\n\n- Import eines Result Bundles.\n- Status pro Requirement und Acceptance Case.\n- neue Evidence:\n  - implemented\n  - tested\n  - verified\n  - blocked\n- Diff zwischen Build Package und tatsächlicher Implementierung.\n\nDone:\n\n- Factory kann zeigen, welche Package-Anforderungen umgesetzt oder\n  abgewichen wurden.\n\n\n======================================================================\n11. AUSBAUSTUFE 8 — PORTFOLIO UND OPERATIONS\nPriorität: P2/P3\n======================================================================\n\n11.1 Portfolio Command Center\n\nFeatures:\n\n- Projekte nach Produktfamilie, Readiness, Rebuildability und Evidence Grade.\n- Build Packages nach draft / approved / stale / building / verified.\n- Top Opportunities.\n- Top Risks.\n- Duplicate Product Candidates.\n- Missing Export Queue.\n- Published-but-unverified Queue.\n\n\n11.2 Opportunity Scoring\n\nDimensionen:\n\n- documented user value\n- uniqueness in archive\n- reusable components\n- build effort\n- risk\n- evidence confidence\n- related project leverage\n\nRegel:\nOpportunity Scores bleiben Heuristiken und zeigen ihre Evidence.\n\n\n11.3 Archive Ingestion Queue\n\nFeatures:\n\n- fehlende Draft-, Published- und Failed-Exporte als Queue.\n- Status:\n  - missing\n  - requested\n  - received\n  - sanitized\n  - indexed\n  - reviewed\n- Duplicate Detection vor Import.\n- Snapshot-ID pro Ingestion Batch.\n\n\n11.4 Live Evidence Scheduler\n\nNur sinnvoll mit Backend oder kontrollierter Ausführungsumgebung.\n\nFeatures:\n\n- periodische Published-URL-Prüfung\n- Redirect Chain\n- HTTP Status\n- TLS / DNS / Timeout\n- letzter erfolgreicher Check\n- Change History\n\nSicherheitsregeln:\n\n- Private IPs und interne Hosts blockieren.\n- Redirects erneut validieren.\n- Größen- und Zeitlimits.\n- Live Evidence niemals als Snapshot-Status speichern.\n\n\n======================================================================\n12. AUSBAUSTUFE 9 — COLLABORATION\nPriorität: P3 / erst nach versionierten Packages\n======================================================================\n\n12.1 Review and Approval\n\n- Kommentare an Requirement, Decision, Risk und Acceptance Case.\n- Rollen: author, reviewer, approver.\n- Approval immer an eine unveränderliche Package-Version gebunden.\n- Neue Version invalidiert alte Approval nicht, übernimmt sie aber auch nicht.\n\n\n12.2 Decision Log\n\n- append-only Entscheidungen\n- Autor, Zeit, Package-Version, Evidence\n- supersedes-Verknüpfung statt stiller Überschreibung\n- Export als ADR Bundle\n\n\n12.3 Shared Collections\n\n- Servergestützte Collections statt localStorage.\n- Berechtigungen und Ownership.\n- Import / Export.\n- localStorage niemals als Autorisierung behandeln.\n\n\n======================================================================\n13. TECHNISCHE QUALITÄT UND REFACTORING\n======================================================================\n\n13.1 Generator modularisieren\n\nVorschlag:\n\ntools/archive_intelligence/\n  models.py\n  sources.py\n  sanitization.py\n  provenance.py\n  scoring.py\n  graph.py\n  stack_audit.py\n  build_packages.py\n  templates/\n    common.css\n    common.js\n    project-genome.html\n    build-factory.html\n    stack-gap-audit.html\n\nDone:\n\n- Fachlogik kann ohne HTML-Stringtests getestet werden.\n- Jede Seite hat einen klaren Generator-Einstiegspunkt.\n- Gemeinsame UI-Komponenten liegen nur einmal vor.\n\n\n13.2 Contract Test Suite\n\nFixtures:\n\n- minimales Projekt\n- großes Projekt\n- fehlende Datei\n- Duplicate Name\n- Unicode / Sonderzeichen\n- relative Creation Date\n- Secret Fixture\n- ungültige URL\n- widersprüchliche Fusion\n- veraltetes Manifest\n\nChecks:\n\n- deterministic output\n- stable IDs\n- sanitization\n- context cap\n- source hashes\n- stale package detection\n- HTML JavaScript syntax\n- browser DOM smoke\n- download round-trip\n\n\n13.3 Data Schemas\n\n- JSON Schema für:\n  - archive intelligence\n  - RAG manifest\n  - provenance manifest\n  - build package\n  - acceptance plan\n  - validation result\n  - live evidence result\n- schema_version ist verpflichtend.\n- Breaking Changes benötigen Migration oder klare Ablehnung.\n\n\n13.4 Performance Budgets\n\n- maximale initiale HTML-Größe\n- maximale Metadata-Größe\n- Time-to-interactive\n- Search latency\n- Vector lazy-load time\n- Memory ceiling\n- maximaler Remote Payload\n\n\n======================================================================\n14. EMPFOHLENE UMSETZUNGSREIHENFOLGE\n======================================================================\n\nPHASE A — Safety Baseline\n\n1. Sanitized Corpus Compiler\n2. Hard Context Budget\n3. Public Artifact Security Gate\n4. Remote Egress Transparency\n\nPHASE B — Trusted Evidence\n\n5. Provenance Manifest\n6. Immutable Snapshot Dates\n7. Data Schemas\n8. Generator Contract Tests\n\nPHASE C — Evidence to Execution\n\n9. Build Package Compiler\n10. Build Package Studio\n11. Fusion Conflict Matrix\n12. Requirement-to-Test Traceability\n\nPHASE D — Validation\n\n13. Acceptance Planner\n14. Validation Runner\n15. Evidence-grade Readiness\n16. Retrieval Evaluation Dataset\n\nPHASE E — Change Intelligence\n\n17. Snapshot Diff\n18. Stale Package Gate\n19. Dependency Blast-to-Action\n20. Project Lineage\n\nPHASE F — App Creation\n\n21. Agent-ready Scaffold Manifest\n22. Starter Generator\n23. Build Progress Import\n\nPHASE G — Scale and Collaboration\n\n24. Scalable Static Retrieval\n25. Portfolio Command Center\n26. Archive Ingestion Queue\n27. Optional Live Evidence Scheduler\n28. Review, Approval and Shared Collections\n\n\n======================================================================\n15. TOP 10 NÄCHSTE FEATURES NACH WERT / AUFWAND\n======================================================================\n\n1. Sanitized publication boundary\n   Wert: kritisch\n   Aufwand: mittel\n\n2. Hard context budget\n   Wert: sehr hoch\n   Aufwand: niedrig bis mittel\n\n3. Provenance manifest\n   Wert: sehr hoch\n   Aufwand: mittel\n\n4. Build Package Compiler\n   Wert: sehr hoch\n   Aufwand: mittel\n\n5. Acceptance Planner\n   Wert: sehr hoch\n   Aufwand: mittel\n\n6. Snapshot Diff und Stale Package Gate\n   Wert: hoch\n   Aufwand: niedrig bis mittel\n\n7. Retrieval Evaluation Dataset\n   Wert: hoch\n   Aufwand: mittel\n\n8. Fusion Conflict Matrix\n   Wert: hoch\n   Aufwand: mittel\n\n9. Agent-ready Scaffold Manifest\n   Wert: hoch\n   Aufwand: mittel\n\n10. Generator modularisieren und Contract Tests\n    Wert: hoch\n    Aufwand: mittel bis hoch\n\n\n======================================================================\n16. DEFINITION DER \"ULTIMATIVEN CODE FACTORY\"\n======================================================================\n\nDie Code Factory ist vollständig, wenn folgender Flow durchgehend funktioniert:\n\n1. Ein versionierter Archive Snapshot wird importiert.\n2. Alle publishable Artefakte werden vor ihrer Erzeugung sanitisiert.\n3. RAG, Graph und Intelligence referenzieren dieselbe Snapshot-ID.\n4. Nutzer wählt ein Genome oder kompiliert eine Multi-Project Fusion.\n5. Architekturkonflikte werden sichtbar entschieden.\n6. Die Factory erzeugt ein versioniertes Build Package.\n7. Jede P0 Requirement besitzt Evidence und Acceptance Case.\n8. Das Package erzeugt ein agent-ready Scaffold Manifest.\n9. Ein neues Projekt kann aus dem Manifest gestartet werden.\n10. Tests und Browserchecks erzeugen ein Validation Result Bundle.\n11. Ergebnisse fließen zurück in Evidence-grade Readiness.\n12. Neue Archive Snapshots markieren betroffene Packages nachvollziehbar stale.\n13. Nutzer kann gezielt rebuild, migrate, approve oder archive wählen.\n\nZielbild:\n\nARCHIVE\n→ SANITIZED CORPUS\n→ PROVENANCE\n→ GENOME\n→ FUSION\n→ CONFLICT RESOLUTION\n→ BUILD PACKAGE\n→ ACCEPTANCE PLAN\n→ APP BOOTSTRAP\n→ VALIDATION\n→ CHANGE IMPACT\n→ VERIFIED PRODUCT\n",
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            "overview": "<!doctype html> <html lang=\"de\"> <head> <meta charset=\"utf-8\"> <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"> <meta name=\"description\" content=\"DOMVS AVREA — flacher Root-Einstieg in MD Atlas, Archive Tools und Prompt Libraries.\"> <title>DOMVS AVREA — Root Index</title> <style> :root { color-scheme: dark; --bg:#101211; --panel:#191d1a; --ink:#eeeae0; --dim:#b7b7ae; --gold:#d0ad6f; --line:rgba(231,229,218,.15); } * { box-sizing:border-box; } body { margin:0; min-width:320px; background:radial-gradient(circle at 90% 0, rgba(208,173,111,.14), transparent 35rem),var(--bg); color:var(--ink); font:15px/1.6 system-ui,sans-serif; } main { max-width:980px; margin:0 auto; padding:clamp(28px,7vw,80px) 22px; } .eyebrow { color:var(--gold); font:11px/1.4 monospace; letter-spacing:.16em; text-transform:uppercase; } h1,h2 {",
            "content": "<!doctype html>\n<html lang=\"de\">\n  <head>\n    <meta charset=\"utf-8\">\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n    <meta name=\"description\" content=\"DOMVS AVREA — flacher Root-Einstieg in MD Atlas, Archive Tools und Prompt Libraries.\">\n    <title>DOMVS AVREA — Root Index</title>\n    <style>\n      :root { color-scheme: dark; --bg:#101211; --panel:#191d1a; --ink:#eeeae0; --dim:#b7b7ae; --gold:#d0ad6f; --line:rgba(231,229,218,.15); }\n      * { box-sizing:border-box; }\n      body { margin:0; min-width:320px; background:radial-gradient(circle at 90% 0, rgba(208,173,111,.14), transparent 35rem),var(--bg); color:var(--ink); font:15px/1.6 system-ui,sans-serif; }\n      main { max-width:980px; margin:0 auto; padding:clamp(28px,7vw,80px) 22px; }\n      .eyebrow { color:var(--gold); font:11px/1.4 monospace; letter-spacing:.16em; text-transform:uppercase; }\n      h1,h2 { font-family:Georgia,serif; letter-spacing:-.04em; }\n      h1 { max-width:760px; margin:14px 0 12px; font-size:clamp(42px,8vw,82px); line-height:.98; }\n      h1 em { color:var(--gold); font-weight:400; }\n      .intro { max-width:680px; color:var(--dim); }\n      .grid { display:grid; grid-template-columns:repeat(auto-fit,minmax(230px,1fr)); gap:12px; margin-top:34px; }\n      .card { display:block; padding:19px; color:var(--ink); background:var(--panel); border:1px solid var(--line); border-radius:12px; text-decoration:none; transition:transform .18s,border-color .18s; }\n      .card:hover,.card:focus-visible { transform:translateY(-2px); border-color:var(--gold); outline:none; }\n      .card strong { display:block; color:var(--gold); font:11px monospace; letter-spacing:.08em; text-transform:uppercase; }\n      .card span { display:block; margin-top:7px; color:var(--dim); font-size:13px; }\n      .section { margin-top:42px; }\n      h2 { margin:0 0 13px; font-size:30px; }\n      .links { display:flex; flex-wrap:wrap; gap:9px; }\n      .links a { padding:8px 11px; color:var(--gold); border:1px solid var(--line); border-radius:7px; font:12px monospace; text-decoration:none; }\n      .links a:hover,.links a:focus-visible { border-color:var(--gold); outline:none; }\n      footer { margin-top:40px; color:#858b82; font:11px monospace; }\n    </style>\n  </head>\n  <body>\n    <main>\n      <div class=\"eyebrow\">DOMVS AVREA // ROOT INDEX</div>\n      <h1>Archive <em>entry points.</em></h1>\n      <p class=\"intro\">Ein flacher, direkter Einstieg in Atlas, Control Room, Vector Lab und alle Prompt-Bibliotheken. Jede Quelle bleibt separat erreichbar und provenance-seitig gekennzeichnet.</p>\n      <section class=\"grid\" aria-label=\"Primary archive tools\">\n        <a class=\"card\" href=\"0-REPLIT-MD-EXPORT/\"><strong>MD Atlas ↗</strong><span>Project reader, ebooks, HTML analyses and local collections.</span></a>\n        <a class=\"card\" href=\"ARCHIVE-TOOLS/\"><strong>Control Room ↗</strong><span>Archive intelligence, graph, readiness and build tools.</span></a>\n        <a class=\"card\" href=\"RAG-EXPORT/RAG-VECTOR-LAB.html\"><strong>Vector Lab ↗</strong><span>Hybrid retrieval, citations and grounded archive chat.</span></a>\n        <a class=\"card\" href=\"PROMPT-LIBRARIES.md\"><strong>Prompt Libraries ↗</strong><span>All flat-root prompt lists in one separate index.</span></a>\n      </section>\n      <section class=\"section\" aria-labelledby=\"promptTitle\">\n        <h2 id=\"promptTitle\">Prompt libraries</h2>\n        <div class=\"links\">\n          <a href=\"100-database.md\">100 database</a>\n          <a href=\"dvag-100-prompts.md\">dvag prompts</a>\n          <a href=\"dvag-100.md\">dvag alias</a>\n          <a href=\"stack-100-prompts.md\">stack prompts</a>\n          <a href=\"school-100.md\">school prompts</a>\n        </div>\n      </section>\n      <footer>Original sources remain unchanged. Discovery catalogs and prompt libraries are not local project evidence.</footer>\n    </main>\n    <script>\n      if (location.search || location.hash) {\n        location.replace(\"0-REPLIT-MD-EXPORT/\" + location.search + location.hash);\n      }\n    </script>\n  </body>\n</html>",
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            "title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
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            "overview": "--- project: 100-religious-spiritual-complex-html5-app-prompts category: Prompt-Bibliothek cluster: Religiös / Spirituell tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, Leaflet, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, katholisch, spiritualitaet, liturgie, gebet, interreligioes, kirchengeschichte, pilgerreise, pfarrei] --- # 100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400) ## Overview Batch 4 der Prompt-Bibliothek widmet sich einem der am häufigsten wiederkehrenden Themenfelder im eigenen HTML-MD-EXPORT-Archiv: katholische und interreligiöse Spiritualität. Reale Projekte aus dem Bestand bilden den Ausgangspunkt — ANGELUS, ROSENKRANZ und HTML-BACKUP (Kreuzweg-Andacht) im Gebetsbereich, kath-ki, messandach",
            "content": "---\nproject: 100-religious-spiritual-complex-html5-app-prompts\ncategory: Prompt-Bibliothek\ncluster: Religiös / Spirituell\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, Leaflet, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, katholisch, spiritualitaet, liturgie, gebet, interreligioes, kirchengeschichte, pilgerreise, pfarrei]\n---\n\n# 100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)\n\n## Overview\nBatch 4 der Prompt-Bibliothek widmet sich einem der am häufigsten wiederkehrenden Themenfelder im eigenen HTML-MD-EXPORT-Archiv: katholische und interreligiöse Spiritualität. Reale Projekte aus dem Bestand bilden den Ausgangspunkt — ANGELUS, ROSENKRANZ und HTML-BACKUP (Kreuzweg-Andacht) im Gebetsbereich, kath-ki, messandacht (tridentinische Messandacht) und liturgie-1 (Ritenvergleich) im liturgischen Bereich, kempis (De Imitatione Christi) und summa (scholastisches Glossar) in der Glaubensbildung, koran-bibel-erweiterte-analyse und nostra-aetate-analyse im interreligiösen Dialog, sowie kathbot31/kathsafe6/kathbottts als KI-Chatbot-Linie mit einer dokumentierten Sicherheitslehre. Ziel dieses Batches ist es, dieses Themenfeld seriös, respektvoll und fachlich fundiert weiterzubauen — als echtes Andachts-, Studien- und Verwaltungswerkzeug für gläubige Nutzer, nicht als Persiflage.\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße, 2500+ Zeilen Code, 250+ Components, 8+ GSAP-Animationen, Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts/Leaflet + D3.js + GSAP + LocalStorage/IndexedDB\n- Theologisch und liturgisch korrekt recherchiert (echte Gebetstexte, echte liturgische Abläufe, echte historische Daten), Ton durchgehend respektvoll und für echte gläubige Nutzer gedacht — keine Satire\n\n## Kategorie 1: GEBETS-APPS & ANDACHTEN (10 Prompts)\n\n1. **#301** — erstelle eine interaktive Rosenkranz-App mit allen vier Gesätzen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Freudenreiche/Schmerzhafte/Glorreiche/Lichtreiche Geheimnisse mit automatischer Wochentags-Zuordnung nach traditionellem Kalender, Perlen-Zähler-Visualisierung mit Fortschrittsanzeige pro Gesätz, vollständige Gebetstexte Vaterunser/Ave Maria/Gloria Patri einblendbar, Meditations-Impuls pro Geheimnis mit Bibelstellen-Bezug, Audio-Vorlese-Mockup-Steuerung mit Geschwindigkeitsregler, Tages-Streak-Tracker für tägliches Beten (ApexCharts Kalender-Heatmap), Fatima-Zusatzgebet nach jedem Gesätz einblendbar, Rosenkranz-Historie mit Datum und gebeteten Geheimnissen, Mehrsprachigkeit Latein/Deutsch umschaltbar, Vollbild-Andachts-Modus ohne Ablenkung, Vibrations-/Ton-Feedback pro abgeschlossenem Gesätz, GSAP Perlen-Übergangs-Animationen - USE CASE: Gläubige beten den Rosenkranz strukturiert auch unterwegs ohne physische Kette, Katechese-Gruppen nutzen die App zur Einführung von Kindern und Neubekehrten in die traditionelle Gebetsform.\n\n2. **#302** — entwickle eine Angelus-Glocken-App mit Regina-Caeli-Umschaltung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Automatische Erinnerung um 6/12/18 Uhr nach traditioneller Angelus-Zeit, vollständiger Angelus-Text mit dreifachem Ave Maria, automatische Umschaltung auf Regina Caeli während der Osterzeit von Ostern bis Pfingsten, Glockenschlag-Simulation dreimal drei Schläge plus neun, Kniebeuge-Erinnerung zur Inkarnations-Verse, persönliche Gebets-Statistik verpasste/gebetete Angelus (ApexCharts Balken), Angelus-Herkunfts-Erklärung historischer Hintergrund seit 14. Jahrhundert, Zeitzonen-Anpassung für Reisende, Stiller-Modus für Andachts-Räume, Wochenübersicht Gebetsdisziplin, Export Gebets-Historie, GSAP Glocken-Läute-Animationen - USE CASE: Gläubige halten die traditionelle dreimalige Tagesheiligung auch im hektischen Alltag ein, Ordensgemeinschaften und Gebetsgruppen synchronisieren ihre Angelus-Zeiten über die App.\n\n3. **#303** — programmiere eine Kreuzweg-Andachts-App mit 14 Stationen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle 14 klassischen Stationen von Verurteilung bis Grablegung mit Bildplatzhalter pro Station, franziskanische Meditationstexte pro Station einblendbar, Fortschritts-Leiste durch die Stationen mit Zeitschätzung, alternative 15. Station Auferstehung optional zuschaltbar, Fastenzeit-Modus mit täglicher Erinnerung besonders freitags, Gemeinschafts-Modus für gemeinsames Beten in der Kirche mit Vorbeter-Text, Gesätz-übergreifende Stille-Minuten-Timer pro Station, historische Herkunfts-Erklärung der Kreuzweg-Tradition seit den Franziskanern im Heiligen Land, persönliches Andachts-Tagebuch pro durchlaufenem Kreuzweg, Sprachumschaltung Latein/Deutsch für die Stationstitel, Offline-Verfügbarkeit für Kirchenräume ohne Netz, GSAP Stations-Übergangs-Animationen mit Kreuz-Motiv - USE CASE: Gläubige beten den Kreuzweg besonders in der Fastenzeit strukturiert nach, Pfarreien nutzen die App als Vorlage für gemeinschaftliche Karfreitags-Andachten in der Kirche.\n\n4. **#304** — baue ein Ignatianisches Gewissenserforschungs-Tool nach dem Examen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fünf klassische Examen-Schritte Dankbarkeit/Bitte-um-Licht/Rückblick/Reue/Vorsatz geführt nacheinander, Tages-Rückblick-Journal mit Freitext pro Schritt, Tugend-und-Laster-Checkliste nach den sieben Hauptsünden strukturiert, wöchentliche Muster-Erkennung wiederkehrender Fehltritte (D3.js Häufigkeitsdiagramm), Beichtvorbereitungs-Export als druckbare Zusammenfassung, Ignatius-Zitate-Rotation zur Einstimmung, Stimmungs-Tracker vor und nach dem Examen, Erinnerungs-Funktion abends und mittags nach ignatianischer Tradition zweimal täglich, Vertraulichkeits-Hinweis alle Daten bleiben lokal, Fortschritts-Statistik regelmäßige Praxis über Wochen (ApexCharts Kalender-Heatmap), Anpassbare Gebetsformeln zu Beginn und Ende, GSAP Schritt-Übergangs-Animationen - USE CASE: Exerzitien-Teilnehmer üben die tägliche Gewissenserforschung nach ignatianischer Methode strukturiert ein, Beichtvorbereitung wird durch die gesammelten Muster über mehrere Wochen erleichtert.\n\n5. **#305** — erstelle ein Gebetsanliegen-Tagebuch mit Erhörungs-Tracking - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Anliegen-Erfassung mit Kategorien Familie/Gesundheit/Beruf/Kirche/Verstorbene, Fürbitten-für-andere-Sektion getrennt von eigenen Anliegen, Status-Tracking Offen/Erhört/Anders-als-erwartet mit Datum, Dankgebets-Erinnerung bei markierter Erhörung, Verknüpfung mit passenden Fürsprechern Heilige nach Zuständigkeit, Wiederkehrende-Anliegen-Funktion für Dauergebete, Gebetsketten-Organisation mehrere Personen beten für dasselbe Anliegen, Anonymitäts-Option für sensible Anliegen, Jahresrückblick gebetete und erhörte Anliegen (ApexCharts Donut), Export als PDF für Gebetsgruppen, Verstorbenen-Gedenkliste mit Jahrestagen, GSAP Karten-Einblend-Animationen beim Hinzufügen - USE CASE: Gläubige halten ihre Fürbitten strukturiert fest statt sie zu vergessen, Gebetsgruppen und Pfarreien koordinieren gemeinsame Anliegenlisten über längere Zeiträume nachvollziehbar.\n\n6. **#306** — entwickle einen Novenen-Tracker für 9-tägige Andachten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Novenen-Bibliothek zu verschiedenen Anlässen Heiliger-Geist-Novene vor Pfingsten/Herz-Jesu-Novene/Novene zur Gottesmutter, täglicher Fortschrittsbalken über die neun Tage, vollständiger Gebetstext pro Tag mit thematischem Tagesimpuls, Erinnerungs-Benachrichtigung zur gewählten Uhrzeit, Start-Datum-Rückrechnung bei Zielfest zum Beispiel Pfingsten, persönliche Notizen pro Novenen-Tag, Novenen-Historie abgeschlossene Andachten im Überblick (ApexCharts Zeitleiste), Unterbrechungs-Handling Nachholen bei verpasstem Tag, Gemeinschafts-Novene-Modus mehrere Personen zählen mit, eigene Novene erstellen mit individuellen Texten, Abschluss-Zeremonie-Bildschirm nach Tag neun, GSAP Tages-Freischalt-Animationen - USE CASE: Gläubige bereiten sich strukturiert auf große Feste wie Pfingsten oder Mariä Himmelfahrt mit einer Novene vor, Gebetsgemeinschaften synchronisieren gemeinsame neuntägige Andachten trotz räumlicher Trennung.\n\n7. **#307** — programmiere einen Stundengebet-Begleiter nach dem Vier-Wochen-Psalter - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Gebetszeiten Laudes/Terz/Sext/Non/Vesper/Komplet mit korrektem Tagesablauf, automatische Zuordnung zum Vier-Wochen-Psalter-Zyklus nach liturgischem Kalender, Tages-Hymnus und Psalmen mit Antiphonen passend zur Kirchenjahreszeit, Kurzlesung und Fürbitten pro Gebetszeit, Erinnerungs-Benachrichtigungen zu den klassischen Gebetszeiten, Fortschritts-Tracking regelmäßig gebetete Horen (ApexCharts Kalender-Heatmap), Sonn-und-Feiertags-Sonderpsalmen automatisch eingeblendet, Laien-vereinfachte-Kurzform als Alternative zum vollen Brevier, Lesezeichen letzte gebetete Hore, Gemeinschafts-Chor-Modus für gemeinsames Beten mit Vorsänger-Kennzeichnung, Offline-Psalter-Datenbank vollständig lokal, GSAP Horen-Wechsel-Animationen - USE CASE: Priester, Ordensleute und Laien beten das Stundengebet auch unterwegs korrekt nach dem aktuellen liturgischen Tag, Neueinsteiger lernen die Struktur des Breviers über die vereinfachte Kurzform kennen.\n\n8. **#308** — baue eine Herz-Jesu-Ersttage-Andacht mit den Zwölf Verheißungen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erste-Freitag-Tracker über neun aufeinanderfolgende Monate nach der Margareta-Maria-Alacoque-Tradition, vollständiger Text der Zwölf Verheißungen des Herzens Jesu mit Erläuterung, Erinnerungs-Benachrichtigung am ersten Freitag jeden Monats, Sühnegebet und Herz-Jesu-Litanei vollständig hinterlegt, Fortschritts-Visualisierung erfüllte Monate von neun (ApexCharts Radial), Beichte-und-Kommunion-Checkliste als Voraussetzung der Andacht, historische Einführung Vision von Paray-le-Monial 1673, Herz-Jesu-Fest-Countdown Freitag nach Fronleichnam, persönliches Andachts-Tagebuch pro Monat, Unterbrechungs-Warnung bei verpasstem Erstfreitag mit Neustart-Option, Erinnerung an Herz-Mariä-Sühnesamstage als Ergänzung, GSAP Herz-Symbol-Puls-Animationen - USE CASE: Gläubige praktizieren die traditionelle Neun-Erstfreitage-Andacht diszipliniert über neun Monate hinweg, die App dokumentiert den Fortschritt als Gedächtnisstütze bei einer Andacht die leicht durch einen verpassten Monat unterbrochen wird.\n\n9. **#309** — erstelle einen Maiandacht- und Rosenkranzmonat-Begleiter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zwei Marienmonate Mai und Oktober mit jeweils eigenem Tagesimpuls-Kalender, Lauretanische Litanei vollständig mit allen Anrufungen, tägliche Marienandacht-Vorlage mit wechselnden Bibelstellen, Marienlieder-Sammlung mit Textanzeige nach Jahreszeit, historische Einführung Ursprung der Maiandacht im 19. Jahrhundert, Blumenschmuck-Symbolik-Erklärung zur Marienstatue, Gemeinschafts-Andachts-Modus für Pfarrgruppen mit Vorbeter-Rolle, Fortschritts-Tracker durchlaufene Andachtstage pro Monat (ApexCharts Kalender-Heatmap), Marienfeste-Übersicht innerhalb des Monats Mariä Heimsuchung/Rosenkranzfest, persönliche Gebetsanliegen-Verknüpfung an Maria, Vorlagen für Kinder-Maiandachten vereinfachte Sprache, GSAP Blüten-Einblend-Animationen - USE CASE: Pfarreien und Familien gestalten die traditionellen Marienmonate Mai und Oktober strukturiert mit täglich wechselnden Impulsen, Katecheten nutzen die kindgerechten Vorlagen für Maiandachten mit Erstkommunionkindern.\n\n10. **#310** — entwickle einen Timer für eucharistische Anbetung mit Taizé-Gesängen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Anbetungsstunden-Timer mit sanfter Erinnerungsglocke nach ignatianischer Stille-Tradition, Taizé-Gesangstexte-Sammlung mit Wiederholungs-Struktur für meditatives Singen, stille-Anbetung-Modus ohne visuelle Ablenkung nur Kerzen-Animation, Anbetungsplan-Koordination für Gemeinden mit Zeitfenster-Anmeldung Ewige Anbetung, Schriftlesungs-Vorschläge zur Betrachtung während der Anbetung, persönliche Anbetungs-Historie über Wochen und Monate (ApexCharts Balken), Tabernakel-Symbolik-Erklärung für Erstteilnehmer, Anbetungs-Gebete Tantum Ergo und O Salutaris Hostia vollständig hinterlegt, Erinnerungs-Funktion für zugewiesene Wochenstunde, Vertretungs-Anfrage-Funktion bei Verhinderung, Gemeinschaftsübersicht wer betet wann Transparenz für Koordinatoren, GSAP Kerzenflammen-Animationen - USE CASE: Pfarreien mit Ewiger Anbetung organisieren die Stundenbesetzung zuverlässig und lückenlos, einzelne Gläubige vertiefen die eigene Anbetungszeit durch begleitende Taizé-Gesänge und Lesungsvorschläge.\n\n## Kategorie 2: LITURGIE & MESSORDNUNG TOOLS (10 Prompts)\n\n11. **#311** — erstelle ein Vergleichstool Tridentinische Messe versus Novus Ordo - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Side-by-Side-Ablaufvergleich beider Formen des Römischen Ritus von Stufengebet bis Schlusssegen, Unterschied Ad-Orientem versus Versus-Populum mit Erklärung, Confiteor-Vergleich einmal versus zweimal je nach Form, Kanon-Text-Gegenüberstellung Römischer Kanon in beiden Formen, Kirchenlatein-Original neben deutscher Übersetzung, historische Einordnung Missale von 1962 versus Missale von 1970 nach Summorum Pontificum, liturgische Gesten-Vergleichstabelle Kniebeugen und Verneigungen, Ministranten-Rollen-Unterschiede pro Form, Audioaussprache-Hinweise für lateinische Passagen, Glossar Fachbegriffe Orate-Fratres/Sanctus/Agnus-Dei verlinkt, persönlicher Notizbereich für liturgische Beobachtungen, GSAP Abschnitts-Vergleichs-Animationen - USE CASE: Gläubige die zwischen beiden Formen wechseln verstehen die strukturellen Unterschiede fundiert statt verunsichert zu sein, Katecheten erklären Interessierten die Kontinuität des Römischen Ritus anhand des direkten Vergleichs sachlich und ohne die eine Form gegen die andere auszuspielen.\n\n12. **#312** — entwickle einen liturgischen Kalender mit beweglichen Festen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständiges Kirchenjahr Advent bis Christkönigssonntag mit korrekter Festrangordnung Hochfest/Fest/Gedenktag, automatische Osterdatum-Berechnung nach dem gregorianischen Computus mit Erklärung der Berechnung, bewegliche Feste automatisch abgeleitet Aschermittwoch/Christi-Himmelfahrt/Pfingsten/Fronleichnam, Lesejahr-Anzeige A/B/C und Wochentagslesejahr I/II, liturgische Farbe des Tages automatisch angezeigt, Eigenfeste-Verwaltung für Diözesan- und Ordenskalender zusätzlich zum Generalkalender, Countdown zu wichtigen Festen mit Vorbereitungshinweisen, Vergleich Julianischer versus Gregorianischer Festkalender für ostkirchlichen Kontext, Export als druckbarer Jahreskalender PDF, Suchfunktion nach bestimmten Heiligenfesten, Erinnerungs-Benachrichtigung Vortag wichtiger Feste, GSAP Kalenderblatt-Wechsel-Animationen - USE CASE: Pfarreien planen Gottesdienste und Predigten mit korrekter liturgischer Festrangordnung, Gläubige verstehen die Berechnung des beweglichen Osterfestes anhand der nachvollziehbaren Computus-Erklärung.\n\n13. **#313** — programmiere einen Paramentenfarben-Tagestracker - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle liturgische Farbe automatisch aus Kirchenjahr abgeleitet Grün-Violett-Weiß-Rot-Rosa, Bedeutungs-Erklärung pro Farbe Buße/Freude/Martyrium/Auferstehung, Rosa-Sonntage-Sonderfall Gaudete und Laetare mit historischer Erläuterung, Schwarz-Option für Requiem-Messen mit heutiger Gebräuchlichkeits-Einordnung, Jahresübersicht Farbverteilung über das Kirchenjahr (ApexCharts Donut), Sakristei-Checkliste welche Paramente für welchen Sonntag vorzubereiten sind, Ausnahme-Regeln Marienfeste in der Fastenzeit mit weißer statt violetter Farbe, Bildergalerie-Platzhalter typischer Paramente-Sets pro Farbe, Diözesan-Sonderregelungen-Feld für lokale Bräuche, Erinnerungs-Funktion für Sakristane am Vorabend, Regionale-Varianten-Hinweis zwischen Ritus-Familien, GSAP Farbwechsel-Animationen - USE CASE: Sakristane und Messdiener bereiten die korrekten Paramente ohne Nachschlagen im Direktorium vor, Katecheten erklären Erstkommunionkindern die Symbolik der liturgischen Farben anschaulich.\n\n14. **#314** — baue einen Ritenvergleich-Explorer der katholischen Kirchen sui iuris - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fünf große Ritenfamilien Römisch/Byzantinisch/Armenisch/Syrisch/Koptisch mit Grundstruktur-Vergleich der jeweiligen Messfeier, Ikonostase-Erklärung für den byzantinischen Ritus mit Bildschema, Epiklese-Positions-Vergleich zwischen den Riten, Sprachen-Übersicht Kirchenslawisch/Klassisches-Armenisch/Syrisch/Koptisch neben der jeweiligen Landessprache, geografische Verbreitungskarte-Mockup der jeweiligen Kirche sui iuris, Kalender-Unterschiede Julianisch versus Gregorianisch je nach Kirche, Gewänder-Vergleichstabelle pro Ritus, historische Herkunfts-Erklärung gemeinsame Einheit mit Rom bei eigener liturgischer Tradition, Gesang-Charakteristika pro Ritus Byzantinischer-Oktoechos/Gregorianik, Fastenregeln-Vergleich zwischen den Riten, Glossar ritenspezifischer Fachbegriffe, GSAP Riten-Wechsel-Übergangs-Animationen - USE CASE: Studierende der Liturgiewissenschaft verschaffen sich einen fundierten Überblick über die Vielfalt der mit Rom unierten Ostkirchen, Gläubige lateinischen Ritus verstehen respektvoll die eigenständige liturgische Tradition ihrer Glaubensgeschwister anderer Kirchen sui iuris.\n\n15. **#315** — erstelle eine Ministranten-Ausbildungs-App mit Prüfungs-Modus - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Lernpfad vom Kerzenträger bis zum Leuchterdienst mit steigendem Schwierigkeitsgrad, interaktive Ablauf-Simulation der heiligen Messe mit korrekten Einsatzpunkten pro Dienst, Antworten-Trainer lateinische und deutsche Messantworten mit Aussprache-Hinweis, Thurifer-Sonderausbildung Weihrauchfass-Handhabung mit Schritt-für-Schritt-Anleitung, Gewänder-Kunde Talar/Rochett/Zingulum mit Bildzuordnung, Quiz-Modus vor der Ministranten-Aufnahme mit Zertifikat, Übungs-Checkliste für den ersten eigenständigen Dienst, Kalender-Integration eigene Dienstplan-Termine, Fortschritts-Abzeichen-System nach Dienstgraden (ApexCharts Radial), Häufige-Fehler-Galerie mit Korrektur-Hinweis, Video-Platzhalter für Bewegungsabläufe, GSAP Ablauf-Simulations-Animationen - USE CASE: Pfarreien schulen neue Ministranten strukturiert und einheitlich statt durch reine Einweisung vor Ort, Jugendliche bereiten sich eigenständig auf Prüfungen vor besonderen Diensten wie dem Thuriferar vor.\n\n16. **#316** — entwickle eine Predigtnotizen-App für Priester und Diakone - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Predigtentwurf-Editor verknüpft mit der Perikope des jeweiligen Sonntags, Lesejahr-automatische-Vorbelegung der Tageslesungen, Predigtarchiv durchsuchbar nach Sonntag und Thema über mehrere Jahre, Wiederverwendungs-Hinweis frühere Predigt zu identischer Perikope im Vorjahreslesezyklus, Zitat- und Anekdoten-Sammlung thematisch kategorisiert, Predigtlänge-Timer zur Übungs-Vorbereitung, Kirchenväter-Kommentar-Verknüpfung zur jeweiligen Schriftstelle, persönliche Feedback-Notizen nach gehaltener Predigt, Themen-Häufigkeits-Analyse über die eigene Predigt-Historie (D3.js Wortwolke), Vorbereitungs-Checkliste Exegese/Auslegung/Lebensbezug/Gebet, Export als Manuskript zum Ausdrucken für den Ambo, GSAP Entwurfs-Editor-Animationen - USE CASE: Priester bereiten Predigten systematisch mit Zugriff auf das eigene Archiv vergangener Jahre vor, Diakone in Ausbildung dokumentieren ihre Predigtentwicklung nachvollziehbar für die geistliche Begleitung.\n\n17. **#317** — programmiere einen Karwoche-und-Triduum-Planer für Pfarreien - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiger Ablaufplan Palmsonntag bis Ostervigil mit allen liturgischen Sonderelementen, Palmsonntags-Prozessions-Checkliste mit Passionslesung-Rollenverteilung, Gründonnerstag-Fußwaschung-Organisationstool mit Teilnehmerliste, Karfreitags-Kreuzverehrung-Ablaufplan mit den Großen Fürbitten vollständig, Ostervigil-Neun-Lesungen-Planer mit Kürzungs-Optionen je nach Pfarrpraxis, Osterkerzen-Weihe-Ablauf mit Text der Exsultet-Vorbereitung, Ministranten-und-Lektoren-Einsatzplan über alle Triduum-Tage hinweg, Kirchenschmuck-Checkliste Entblößung des Altars Gründonnerstag bis Auferstehungsschmuck, Zeitplan-Koordination bei mehreren Kirchen einer Pfarreiengemeinschaft, historische Erklärung der Bedeutung jedes Triduum-Tages, Erinnerungs-Funktion für alle Mitwirkenden, GSAP Tages-Übergangs-Animationen - USE CASE: Pfarrbüros koordinieren die aufwendige Liturgie der Kar- und Ostertage mit vielen Mitwirkenden fehlerfrei, neue Pfarrer oder Kapläne verschaffen sich schnell Überblick über bewährte lokale Abläufe des Triduums.\n\n18. **#318** — baue ein Perikopenordnung-Tool für die Lesejahre A B und C - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständige Sonntagslesungen-Datenbank für alle drei Lesejahre mit Evangelien-Schwerpunkt Matthäus/Markus/Lukas, Werktagslesejahr I und II parallel abrufbar, automatische Berechnung welches Lesejahr im aktuellen Kirchenjahr gilt, Perikopen-Suchfunktion nach Bibelstelle rückwärts zum Sonntag, thematische Verknüpfung zwischen den drei Lesungen eines Sonntags Altes-Testament-Psalm-Evangelium, Vorschau kommender Sonntage für die Predigtvorbereitung, Vergleichsansicht gleicher Sonntag über die drei Lesejahre, Häufigkeits-Statistik welche biblischen Bücher wie oft vorkommen (ApexCharts Balken), Notizfeld pro Perikope für persönliche Auslegungsgedanken, Export Leseplan als PDF für den Ambo, Eigenfeste-Sonderlesungen-Ergänzung, GSAP Lesejahr-Wechsel-Animationen - USE CASE: Lektoren und Priester bereiten sich mit korrekt zugeordneten Lesungen für das jeweils aktuelle Lesejahr vor, Bibelkreise verfolgen die thematische Linie der Sonntagslesungen über den Dreijahreszyklus hinweg.\n\n19. **#319** — erstelle ein Nachschlagewerk zum gregorianischen Messproprium - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Proprium-Datenbank Introitus/Graduale/Alleluja/Offertorium/Communio pro Sonntag im Kirchenjahr, lateinischer Original-Notentext-Platzhalter mit deutscher Übersetzung, Modus-Zuordnung der acht Kirchentöne pro Gesang, historische Herkunfts-Angabe ältester belegter Gebrauch des jeweiligen Gesangs, Audio-Vorlese-Mockup zur Aussprache-Übung, Vergleich Gregorianisches-Proprium versus deutschsprachiges-Wechselgesang-Alternative, Suchfunktion nach Kirchenjahreszeit oder Anfangswort des Introitus, Kantoren-Übungsmodus mit Wiederholungs-Timer, Zusammenstellung eines vollständigen Proprium-Sets für einen bestimmten Sonntag druckbar, thematische Verknüpfung zwischen Introitus-Text und Tagesevangelium, Neumen-Bild-Platzhalter zur Notation, GSAP Notenzeile-Einblend-Animationen - USE CASE: Kirchenchöre und Scholae bereiten das gregorianische Proprium für den jeweiligen Sonntag korrekt zugeordnet vor, Liturgiewissenschafts-Studierende erschließen sich die historische Gesangstradition der Messe systematisch.\n\n20. **#320** — entwickle ein Nachschlagewerk zu den Riten der Sakramentenspendung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ablaufschema aller sieben Sakramente mit korrekter liturgischer Reihenfolge Taufe/Firmung/Eucharistie/Beichte/Krankensalbung/Weihe/Ehe, vollständige Spendungsformeln im lateinischen Original mit deutscher Übersetzung, Materie-und-Form-Erklärung pro Sakrament nach scholastischer Sakramententheologie, Nottaufe-Kurzanleitung für Laien in Notfällen klar hervorgehoben, Trauungsritus-Varianten innerhalb und außerhalb der Messe, Krankensalbung-Ablauf mit den beiden Salbungsstellen Stirn und Hände, Diakon-versus-Priester-Kompetenzen-Übersicht je Sakrament, historische Entwicklung der Riten seit dem Zweiten Vatikanischen Konzil, Vorbereitungs-Checklisten für Spender vor jeder Sakramentenspendung, Glossar sakramententheologischer Fachbegriffe, Suchfunktion über alle Riten hinweg, GSAP Ritus-Ablauf-Animationen - USE CASE: Priester und Diakone bereiten Sakramentenspendungen mit korrekten Formeln und Abläufen zuverlässig vor, Theologiestudierende erschließen sich die sakramentale Praxis der Kirche strukturiert neben der theoretischen Sakramentenlehre.\n\n## Kategorie 3: BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)\n\n21. **#321** — erstelle ein Bibel-Konkordanz- und Parallelstellen-Tool - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Volltext-Konkordanz-Suche über alle Bücher mit Häufigkeits-Statistik pro Begriff (ApexCharts Balken), automatische Parallelstellen-Anzeige bei synoptischen Evangelien-Texten Matthäus-Markus-Lukas nebeneinander, thematische Stichwort-Cluster verwandte Begriffe wie Barmherzigkeit/Vergebung/Gnade, Zitat-Netz-Visualisierung Altes-Testament-Zitate im Neuen Testament (D3.js Graph), Buch-Kapitel-Vers-Sprung-Navigation direkt zur Stelle, Lesezeichen-Sammlung häufig genutzter Stellen, Vers-Vergleich innerhalb desselben Buches thematisch verwandte Abschnitte, Suchhistorie für wiederkehrende Recherchen, Exportfunktion gefundener Stellen als Zitatliste mit Quellenangabe, Häufigkeits-Heatmap welche Bücher am meisten zitiert werden (D3.js), Notizfeld pro gefundener Stelle, GSAP Treffer-Hervorhebungs-Animationen - USE CASE: Bibelkreisleiter bereiten thematische Studienabende mit belegten Parallelstellen fundiert vor, Prediger recherchieren schnell verwandte Schriftstellen zu einem Predigtthema ohne gedruckte Konkordanz.\n\n22. **#322** — entwickle ein Übersetzungsvergleichs-Tool für biblische Kernstellen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Side-by-Side-Vergleich Einheitsübersetzung/Lutherbibel/Vulgata/Septuaginta-Bezug pro ausgewähltem Vers, Wort-für-Wort-Unterschiede farbcodiert hervorgehoben, historische Übersetzungs-Entstehungs-Erklärung pro Version, Fußnoten-Anzeige textkritischer Varianten, Übersetzungs-Philosophie-Erklärung wörtlich versus sinngemäß je Version, häufig verglichene Streitstellen-Bibliothek zum Beispiel Jesaja 7,14, Lesehilfe für die lateinische Vulgata mit Aussprache-Hinweis, persönliche Vergleichsnotizen pro Vers speicherbar, Statistik welche Verse am häufigsten verglichen werden (ApexCharts Balken), Export Vergleichstabelle als PDF für Bibelkreise, Suchfunktion über alle hinterlegten Versionen gleichzeitig, GSAP Versionswechsel-Übergangs-Animationen - USE CASE: Bibelkreise vertiefen ihr Verständnis durch den direkten Textvergleich verschiedener Übersetzungstraditionen, Theologiestudierende bereiten sich mit dem Vulgata-Bezug gezielt auf Exegese-Seminare vor.\n\n23. **#323** — programmiere einen Bibel-Leseplan-Tracker Ein Jahr durch die Bibel - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorgefertigter 365-Tage-Leseplan chronologisch oder nach biblischer Buchreihenfolge wählbar, tägliches Abhaken mit Fortschrittsbalken über das Jahr (ApexCharts Kalender-Heatmap), Nachhol-Funktion bei verpassten Tagen mit angepasstem Resttempo, thematische Alternative-Pläne Altes-Testament-in-90-Tagen oder Nur-die-Evangelien, tägliche Kurz-Reflexion-Notizfeld zum Gelesenen, Lesezeit-Schätzung pro Tagesabschnitt, Streak-Anzeige aufeinanderfolgende Lesetage, Wochenrückblick gelesene Kapitel und Bücher, Erinnerungs-Benachrichtigung zur gewählten Lesezeit, Gemeinschafts-Lesevergleich-Mockup mit Pfarrgruppe gleicher Leseplan, Jahresabschluss-Zertifikat bei vollständigem Durchlauf, GSAP Fortschritts-Buch-Animationen - USE CASE: Gläubige lesen die gesamte Bibel strukturiert innerhalb eines Jahres statt das Vorhaben nach Wochen abzubrechen, Pfarreien bieten den Leseplan als gemeinsames Jahresprojekt für Bibelkreise an.\n\n24. **#324** — baue ein Exegese-Notizbuch für die persönliche Schriftstudie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierter Notiz-Editor pro Perikope nach historisch-kritischer Methode Textkritik/Literarkritik/Formkritik/Auslegung, Verknüpfung mit Kommentarliteratur-Zitaten eigene Einträge, Ursprache-Notizfeld für griechische oder hebräische Schlüsselbegriffe, Kontext-Karte historischer und literarischer Zusammenhang der Stelle, Auslegungsgeschichte-Sektion wie die Stelle durch Kirchenväter und spätere Theologen verstanden wurde, Verknüpfung mehrerer Notizen zu thematischen Studienprojekten, Volltextsuche über alle eigenen Notizen, Exportfunktion einzelner Exegesen als strukturiertes Dokument, Lesezeichen-System für laufende Studienprojekte, Zeitaufwand-Tracking pro Studieneinheit, Quellenverzeichnis-Verwaltung genutzter Literatur, GSAP Notiz-Karten-Animationen - USE CASE: Theologiestudierende dokumentieren eigene Exegesen strukturiert für Seminararbeiten, ernsthafte Laien vertiefen ihr Schriftverständnis über einfaches Lesen hinaus mit einer nachvollziehbaren Methode.\n\n25. **#325** — erstelle einen geführten Lectio-Divina-Guide in vier Schritten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Führung durch die vier klassischen Schritte Lectio/Meditatio/Oratio/Contemplatio mit Zeittimer pro Phase, Tagesvers-Vorschlag oder freie Textwahl aus der Schrift, geführte Fragen pro Phase Was-steht-da/Was-bedeutet-es-für-mich/Wie-antworte-ich/Stille-Verweilen, Stille-Glocke zwischen den Phasen nach klösterlicher Tradition, persönliches Kontemplations-Tagebuch pro Sitzung, historische Einführung Ursprung in der benediktinischen Mönchstradition, Wiederholungs-Funktion denselben Text über mehrere Tage vertiefen, Fortschritts-Statistik regelmäßige Praxis (ApexCharts Kalender-Heatmap), Gruppen-Modus für gemeinsame Lectio-Divina-Abende mit geteilten Impulsen, Hintergrundgeräusch-Auswahl Stille oder sanfte Klangschale, Export der eigenen Einsichten als PDF, GSAP Phasen-Übergangs-Animationen mit sanftem Fade - USE CASE: Gläubige praktizieren die traditionelle betende Schriftlesung strukturiert statt unsicher wo sie beginnen sollen, Exerzitienhäuser und Gebetsgruppen nutzen den Guide als Vorlage für gemeinsame Lectio-Divina-Abende.\n\n26. **#326** — entwickle einen biblischen Zeitleisten-Visualizer von Abraham bis zu den Aposteln - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Interaktive Zeitleiste Patriarchenzeit/Königszeit/Exil/Zwischentestamentliche-Zeit/Neues-Testament (D3.js Timeline), Verknüpfung biblischer Ereignisse mit außerbiblischer Weltgeschichte zur Einordnung, Personen-Stammbaum-Ansicht Abraham-Isaak-Jakob und davidische Königslinie (D3.js Baum), Datierungs-Unsicherheiten transparent gekennzeichnet nach wissenschaftlichem Konsens, Klick-Navigation von Zeitleisten-Ereignis zur passenden Bibelstelle, thematische Filterung nur Propheten oder nur Könige anzeigen, Kartenverknüpfung geografischer Bezug zu Ereignissen, Zwischentestamentliche-Zeit-Erklärung Makkabäer und hellenistischer Einfluss, Paulusreisen-Zeitfenster innerhalb der Apostelgeschichte-Chronologie, Export Zeitleisten-Abschnitt als Bild für Unterricht, Suchfunktion nach Personen oder Ereignissen, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Katecheten vermitteln den historischen Gesamtzusammenhang der Heilsgeschichte anschaulich statt isolierter Einzelgeschichten, Bibelkreise verorten einzelne Bücher korrekt in der Abfolge der biblischen Geschichte.\n\n27. **#327** — programmiere eine interaktive Landkarte der Paulusreisen - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Karte mit allen drei Missionsreisen des Paulus plus der Gefangenentransport-Reise nach Rom, Routenverlauf mit Zwischenstationen Antiochia/Ephesus/Korinth/Philippi anklickbar, Verknüpfung jeder Station mit der zugehörigen Apostelgeschichte-Textstelle, historische Distanz- und Reisezeit-Schätzung pro Etappe, Landverkehr-versus-Seeweg-Kennzeichnung der Routenabschnitte, Gemeinde-Gründungs-Markierung an den jeweiligen Stationen mit Verweis auf zugehörige Paulusbriefe, Zeitachsen-Schieberegler zur Nachverfolgung der Chronologie, Gefahren-und-Widerstände-Anmerkungen laut biblischem Bericht, thematische Ebenen ein-und-ausblendbar Reise-1/2/3/Gefangenschaft, Export der Karte als Bild für den Religionsunterricht, Vergleichsansicht antike versus heutige Ortsnamen, GSAP Routenverlauf-Zeichenanimationen - USE CASE: Religionslehrer veranschaulichen die Missionsreisen des Paulus geografisch statt nur textlich, Bibelkreise verorten die Paulusbriefe konkret am jeweiligen Ort ihrer Entstehung oder Adressierung.\n\n28. **#328** — baue ein Urtext-Wortstudien-Tool mit Strong-Nummern-System - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Griechische und hebräische Schlüsselbegriffe mit zugehöriger Strong-Nummer nachschlagbar, Wortstamm-Erklärung und grammatikalische Form pro Beleg, alle Vorkommen desselben Urtext-Begriffs im gesamten Kanon aufgelistet, Bedeutungsnuancen-Vergleich griechischer Begriffe wie Agape/Philia/Eros mit deutschen Übersetzungs-Alternativen, Transliterations-Anzeige für Lesende ohne Griechisch- oder Hebräischkenntnisse, Aussprache-Mockup-Audio pro Begriff, thematische Wortfelder verwandte Begriffe gruppiert (D3.js Cluster), Vergleich wie ein Urtext-Begriff in verschiedenen deutschen Übersetzungen wiedergegeben wird, persönliche Wortstudien-Sammlung speicherbar, Suchfunktion nach Strong-Nummer oder deutschem Begriff, Häufigkeits-Statistik pro Begriff über die Bibel (ApexCharts Balken), GSAP Wortkarten-Einblend-Animationen - USE CASE: Theologiestudierende vertiefen ihr Verständnis biblischer Kernbegriffe über die deutsche Übersetzung hinaus, Prediger untermauern Predigtaussagen mit fundierten Wortstudien zum griechischen oder hebräischen Original.\n\n29. **#329** — erstelle ein Psalmen-Gebetsbuch mit Tageszuordnung nach dem Stundengebet-Psalter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle 150 Psalmen mit Zuordnung zum jeweiligen Wochentag des Vier-Wochen-Psalters, Psalmengattungen-Kennzeichnung Klage/Lob/Danklied/Königspsalm mit Kurzerläuterung, Antiphonen-Vorschläge passend zur Kirchenjahreszeit pro Psalm, persönliches Lieblingspsalmen-Lesezeichen, Kontext-Erklärung historischer Entstehungshintergrund pro Psalm soweit bekannt, Vertonungs-Hinweis bekannte gregorianische oder mehrstimmige Vertonungen, Suchfunktion nach Thema Trost/Vertrauen/Bitte/Dank, tägliche Psalmen-Empfehlung passend zur persönlichen Lebenssituation, Vers-für-Vers-Meditations-Modus mit Pausenzeiten, Lesefortschritt durch alle 150 Psalmen (ApexCharts Kalender-Heatmap), Export einzelner Psalmen als Gebetskarte, GSAP Psalmvers-Einblend-Animationen - USE CASE: Gläubige beten die Psalmen strukturiert im Rhythmus des kirchlichen Stundengebets, Seelsorger empfehlen passende Psalmen gezielt nach der jeweiligen Lebenssituation eines Ratsuchenden.\n\n30. **#330** — entwickle einen Bibelvers-Memorierungs-Trainer mit Spaced Repetition - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vers-Bibliothek nach Themen geordnet Trost/Glaube/Liebe/Weisheit mit vorgeschlagenen Kernversen, Spaced-Repetition-Algorithmus für optimale Wiederholungsintervalle, Lückentext-Übungsmodus zunehmend schwieriger werdend, Referenz-Zuordnungs-Übung Vers zu korrekter Bibelstelle zuordnen, tägliches Wiederholungs-Pensum mit Fortschrittsanzeige (ApexCharts Radial), eigene Verse zur persönlichen Sammlung hinzufügen, Memorier-Streak-Tracker aufeinanderfolgende Übungstage, Audio-Vorlese-Mockup zur Aussprache-Unterstützung, Gruppen-Wettbewerb-Mockup für Konfirmanden- oder Firmgruppen, Zertifikat bei abgeschlossenem Themenblock, Karteikarten-Ansicht mit Umdreh-Animation, GSAP Karten-Flip-Animationen - USE CASE: Konfirmanden und Erstkommunionkinder lernen zentrale Bibelverse nachhaltig statt nur kurzfristig für den Unterricht, Gläubige bauen sich über Jahre einen soliden Schatz auswendig gelernter Schriftworte für die persönliche Andacht auf.\n\n## Kategorie 4: INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)\n\n31. **#331** — erstelle ein Vergleichsanalyse-Tool zu gemeinsamen Erzählungen in Koran und Bibel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Thematische Gegenüberstellung gemeinsamer Gestalten Abraham/Ibrahim, Maria/Maryam, Jesus/Isa mit jeweiligem Quellentext nebeneinander, respektvolle Einordnung der jeweils eigenen theologischen Bedeutung ohne Wertung einer Tradition über die andere, Unterschiede-und-Gemeinsamkeiten-Matrix pro Erzählung sachlich dargestellt, historischer Kontext der Textentstehung beider Traditionen, Glossar arabischer und hebräischer Fachbegriffe mit Aussprache, Quellenangaben zu anerkannten islamischen und christlichen Kommentaren, Suchfunktion nach gemeinsamen Themen Schöpfung/Sintflut/Jüngstes-Gericht, Lernpfad für interessierte Laien beider Traditionen, Experten-Zitate-Sammlung aus offiziellen Dialogdokumenten, Feedback-Formular für theologische Korrekturhinweise, GSAP Text-Gegenüberstellungs-Animationen - USE CASE: Religionslehrer bereiten respektvollen interreligiösen Unterricht mit belegten Textvergleichen vor, am Dialog Interessierte beider Traditionen verstehen die eigene und die andere Glaubensüberlieferung fundierter statt oberflächlicher Klischees.\n\n32. **#332** — entwickle einen Studienbegleiter zur Konzilserklärung Nostra Aetate - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständiger Text der Erklärung von 1965 mit Absatz-für-Absatz-Kommentierung, historischer Entstehungskontext Zweites Vatikanisches Konzil und dessen Bedeutung, Kernaussagen-Zusammenfassung pro Religion Judentum/Islam/Hinduismus/Buddhismus, Rezeptionsgeschichte wie sich das christlich-jüdische Verhältnis seither entwickelt hat, Zeitleiste bedeutender interreligiöser Meilensteine nach 1965 (D3.js Timeline), Diskussionsfragen-Katalog für Studiengruppen, Vergleich zu vorkonziliaren Positionen zur Einordnung der Neuerung, Verknüpfung zu Folgedokumenten der Päpste zum interreligiösen Dialog, Zitat-Sammlung zentraler Sätze mit Quellenangabe, persönliches Studien-Tagebuch pro Kapitel, Quiz zum Textverständnis, GSAP Abschnitts-Einblend-Animationen - USE CASE: Theologiestudierende erarbeiten sich die Bedeutung von Nostra Aetate für das heutige interreligiöse Klima fundiert, Pfarrgemeinderäte bereiten Gesprächsabende zum jüdisch-christlichen Verhältnis auf Basis des offiziellen Konzilstextes vor.\n\n33. **#333** — programmiere ein Weltreligionen-Vergleichs-Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Vergleich der fünf großen Weltreligionen Christentum/Islam/Judentum/Hinduismus/Buddhismus nach einheitlichen Kategorien Gottesbild/Heilige-Schriften/Zentrale-Praxis/Ethik, neutrale sachliche Darstellungsweise ohne Wertung einer Tradition als überlegen, interaktive Matrix-Ansicht zum gezielten Zweiervergleich, Zeitleiste Entstehungszeitpunkt jeder Religion (D3.js Timeline), geografische Verbreitungs-Übersicht heute, Gemeinsamkeiten-Sektion goldene Regel und Nächstenliebe-Prinzip über alle Traditionen hinweg, Feiertage-Kalender-Vergleich der wichtigsten Feste je Religion, Glossar religionsspezifischer Fachbegriffe, Quellenverzeichnis anerkannter religionswissenschaftlicher Literatur pro Abschnitt, Lernpfad für Schule und Erwachsenenbildung, Feedback-Kanal für fachliche Korrekturen, GSAP Kategorie-Wechsel-Animationen - USE CASE: Religionslehrer vermitteln einen fundierten und respektvollen Überblick über die Weltreligionen im Unterricht, Teilnehmer an interreligiösen Dialogveranstaltungen bereiten sich mit belastbarem Grundwissen über die jeweils andere Tradition vor.\n\n34. **#334** — baue ein Vorbereitungs-Tool für interreligiöse Dialogtreffen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themen-Checkliste für ein anstehendes Dialogtreffen mit Vorschlägen zu respektvoller Gesprächsführung, Hintergrundwissen-Kompaktprofile der beteiligten Traditionen zur Vorbereitung, Häufige-Missverständnisse-Warnliste die im Dialog leicht zu Verletzungen führen können, Gesprächsleitfaden-Vorlagen für strukturierte Themenblöcke, Teilnehmer-Vorstellungsrunden-Vorlage mit Fragen zur eigenen Glaubenspraxis, Nachbereitungs-Protokoll-Vorlage für gemeinsame Erkenntnisse, Ressourcen-Bibliothek offizieller Dialogdokumente beider beteiligter Traditionen, Zeitplan-Baukasten für den Ablauf des Treffens, Konfliktvermeidungs-Hinweise bei sensiblen Themen, Feedback-Formular nach dem Treffen für die Teilnehmenden, Terminplanungs-Kalender für Folgetreffen, GSAP Ablauf-Checklisten-Animationen - USE CASE: Pfarreien und Moscheegemeinden bereiten gemeinsame Dialogabende strukturiert und respektvoll vor, Organisatoren interreligiöser Wochen vermeiden durch die Checklisten häufige Fettnäpfchen im Erstkontakt zwischen den Traditionen.\n\n35. **#335** — erstelle einen Gemeinsame-Werte-Finder über religiöse Traditionen hinweg - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Werte-Datenbank Nächstenliebe/Gastfreundschaft/Barmherzigkeit/Gerechtigkeit mit Belegstellen aus mehreren heiligen Schriften parallel, Goldene-Regel-Vergleich wortgetreu aus Bibel, Koran, Tora, buddhistischen und hinduistischen Schriften, Filterfunktion nach Wert oder nach Tradition, Kontext-Erklärung wie derselbe Wert innerhalb jeder Tradition praktisch gelebt wird, Übereinstimmungs-Visualisierung wie viele Traditionen einen bestimmten Wert teilen (D3.js Venn-artige Darstellung), Diskussionsimpulse für gemeinsame Sozialprojekte auf Basis geteilter Werte, Zitat-Sammlung religiöser Führungspersönlichkeiten zum interreligiösen Miteinander, Bildungsmaterial-Export für Schulklassen, Suchfunktion nach Stichwort über alle hinterlegten Traditionen, persönliche Reflexionsnotizen, GSAP Werte-Karten-Verbindungs-Animationen - USE CASE: Schulen und Jugendgruppen entdecken gemeinsam die ethischen Schnittmengen zwischen den Religionen ihrer Mitschüler, Sozialinitiativen mit interreligiöser Trägerschaft begründen ihre Zusammenarbeit mit den tatsächlichen gemeinsamen Grundlagen der beteiligten Traditionen.\n\n36. **#336** — entwickle eine Struktur-App für respektvolle Debatten über Glaubensfragen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Moderierter Gesprächsablauf mit festen Redezeiten und Rederunden pro Standpunkt, Regelwerk-Anzeige respektvolle Sprache und Verbot persönlicher Angriffe prominent eingeblendet, Themen-Vorschlags-Katalog kontroverser aber konstruktiv diskutierbarer Glaubensfragen, Standpunkt-Zusammenfassungs-Tool am Ende jeder Runde durch neutrale Formulierung, Zuhör-Bestätigungs-Funktion Teilnehmer bestätigt den anderen Standpunkt korrekt verstanden zu haben bevor er antwortet, Eskalations-Warnsystem bei zunehmend gereizter Wortwahl-Mockup, Protokoll-Export der geführten Debatte für Nachbereitung, Perspektivwechsel-Übung Teilnehmer formuliert kurz den gegnerischen Standpunkt, Fazit-Sektion gemeinsame Erkenntnisse statt Gewinner-Verlierer-Logik, Moderatoren-Leitfaden für Veranstalter, Bewertungs-Formular Gesprächsqualität statt Meinungssieg, GSAP Redezeit-Timer-Animationen - USE CASE: Universitätsgruppen und Gemeindekreise führen kontroverse Glaubensgespräche strukturiert ohne dass sie in gegenseitige Verletzung münden, Moderatoren interreligiöser Podien nutzen die Struktur als bewährten roten Faden.\n\n37. **#337** — programmiere einen Stammbaum-Explorer der abrahamitischen Religionen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gemeinsamer Stammbaum ausgehend von Abraham über Isaak und Ismael verzweigend zu Judentum-Christentum und Islam (D3.js Baumdiagramm), Klick-Erläuterung zu jeder Figur mit Bezug in allen drei Traditionen, theologische Bedeutungs-Unterschiede derselben Gestalt klar gekennzeichnet ohne eine Deutung als richtig oder falsch zu werten, Zeitleiste der drei Offenbarungstraditionen im historischen Verlauf, gemeinsame heilige Orte-Sektion Jerusalem und Hebron mit Bedeutung für alle drei Religionen, Glaubensbekenntnis-Kurzvergleich der drei Traditionen, Suchfunktion nach Personen des Stammbaums, Bildungsmaterial-Export für interreligiösen Unterricht, Quellenangaben zu Tora, Bibel und Koran pro Station, Diskussionsfragen zur gemeinsamen Wurzel bei unterschiedlicher Entfaltung, Feedback-Kanal für theologische Genauigkeit, GSAP Stammbaum-Verzweigungs-Animationen - USE CASE: Religionslehrer verdeutlichen Schülern die gemeinsame Wurzel der drei monotheistischen Weltreligionen visuell nachvollziehbar, interreligiöse Bildungshäuser nutzen den Explorer als Einstieg in vertiefende Dialogformate.\n\n38. **#338** — baue ein Studientool zum christlich-jüdischen Verhältnis nach Nostra Aetate - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historischer Überblick der Beziehungsentwicklung von den ersten Jahrhunderten bis zur Gegenwart mit besonderem Fokus auf die Zeit nach 1965, gemeinsame Schriftgrundlage-Sektion Altes Testament als Tanach in beiden Traditionen mit unterschiedlicher Auslegungstradition, Zeitleiste bedeutender Gesten der Annäherung Papstbesuche in Synagogen und deren Bedeutung, Glossar zentraler Begriffe des jüdisch-christlichen Dialogs, Zitat-Sammlung offizieller kirchlicher Dokumente zum Verhältnis zum Judentum, Diskussion der besonderen Erwählung Israels aus katholischer Sicht nach dem Konzil, Vergleich jüdischer und christlicher Feste mit gemeinsamen Wurzeln Pessach und Ostern, Lernpfad für Pfarrgemeinderäte zur Vorbereitung von Gedenktagen, Ressourcen zur Woche der Brüderlichkeit, persönliches Studien-Tagebuch, Quiz zum Textverständnis der behandelten Dokumente, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Pfarrgemeinderäte bereiten Gedenkveranstaltungen zum christlich-jüdischen Dialog theologisch fundiert vor, Studierende der Theologie vertiefen ihr Verständnis der offiziellen kirchlichen Position zum Judentum nach dem Konzil.\n\n39. **#339** — erstelle einen Kalender interreligiöser Gebetstage für den Frieden - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Historische Dokumentation der Assisi-Gebetstreffen seit 1986 mit den beteiligten Religionsvertretern, Jahreskalender bedeutender interreligiöser Gedenk- und Gebetstage weltweit, Hintergrund-Erklärung zu jedem Treffen und dessen Bedeutung für den interreligiösen Dialog, Zitat-Sammlung der Schlussbotschaften vergangener Treffen, Weltgebetstag-Sektion mit Beteiligung verschiedener christlicher Konfessionen, lokale Veranstaltungs-Vorschläge für eigene interreligiöse Gebetsinitiativen, Teilnahme-Tracker eigene Teilnahme an solchen Veranstaltungen dokumentieren, Themen-Übersicht wofür in den jeweiligen Jahren gebetet wurde Frieden im Nahen Osten und andere Anliegen, Erinnerungs-Funktion für kommende Gedenktage, Bildergalerie-Platzhalter historischer Momente, Diskussionsfragen für Gemeindegruppen zur Bedeutung gemeinsamen Betens bei unterschiedlichem Gottesbild, GSAP Kalenderblatt-Animationen - USE CASE: Pfarreien und interreligiöse Initiativen orientieren sich an der Geschichte der Assisi-Treffen für eigene lokale Friedensgebete, Religionslehrer nutzen die dokumentierte Geschichte als Beispiel gelebten interreligiösen Miteinanders im Unterricht.\n\n40. **#340** — entwickle ein vergleichendes Studientool zur Eschatologie der Weltreligionen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sachlicher Vergleich der Jenseitsvorstellungen Christentum-Auferstehung-des-Fleisches, Islam-Jüngstes-Gericht, jüdische Vorstellungen von Olam-ha-Ba, buddhistisches Nirvana, hinduistischer Kreislauf von Samsara und Moksha, Quellentexte-Zitate pro Tradition mit Originalbeleg, historische Entwicklung eschatologischer Vorstellungen innerhalb jeder Tradition über Jahrhunderte, Glossar eschatologischer Fachbegriffe aller behandelten Traditionen, Gemeinsamkeiten-Sektion Gerechtigkeit-nach-dem-Tod als verbindendes Element trotz unterschiedlicher Ausgestaltung, akademischer Tonfall mit Verweis auf religionswissenschaftliche Standardliteratur, Diskussionsfragen für ein Seminar zur vergleichenden Religionswissenschaft, Zeitleisten-Darstellung der Lehrentwicklung pro Tradition (D3.js), persönliche Notizen zur eigenen Auseinandersetzung mit den Vergleichen, Export als Seminararbeit-Grundlage, GSAP Konzept-Vergleichs-Animationen - USE CASE: Studierende der vergleichenden Religionswissenschaft erarbeiten sich einen fundierten Überblick über eschatologische Vorstellungen verschiedener Traditionen, Religionslehrer vermitteln den respektvollen akademischen Vergleich als Alternative zu vorschnellen Werturteilen über fremde Jenseitsvorstellungen.\n\n## Kategorie 5: KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)\n\n41. **#341** — erstelle einen Katechismus-Chatbot mit serverseitigem Proxy - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Konversationelles Frage-Antwort-Interface zum Katechismus der Katholischen Kirche mit Quellenverweis auf die jeweilige CCC-Randnummer, Themen-Schnellzugriff Glaubensbekenntnis/Sakramente/Leben-in-Christus/Gebet als vier Säulen, Streaming-Antworten mit Typewriter-Effekt, Konversations-Historie lokal gespeichert, Verwandte-Fragen-Vorschläge nach jeder Antwort, Zitier-Funktion Antwort mit CCC-Randnummer kopieren, Mehrsprachigkeits-Umschaltung, Feedback-Button war die Antwort theologisch korrekt und hilfreich, Eskalations-Hinweis bei komplexen moraltheologischen Fragen Verweis an einen Priester, Rate-Limit-Anzeige serverseitig verwalteter Anfragen, GSAP Chat-Bubble-Animationen - USE CASE: Katecheten nutzen den Chatbot zur schnellen Vorbereitung von Unterrichtseinheiten mit belegten Quellenangaben, Erwachsene in der Glaubensbildung stellen Fragen zum Katechismus in eigenen Worten statt im gedruckten Werk zu blättern. WICHTIG: alle Sprachmodell-Aufrufe laufen ausschließlich über einen serverseitigen Proxy-Endpunkt, niemals wird ein API-Key im Client-Code hinterlegt — dies behebt direkt den im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts mit hartcodiertem OpenAI-Key, so wie es kathsafe6 bereits korrekt über eine Proxy-Architektur löst.\n\n42. **#342** — entwickle einen Beichtvorbereitungs-Assistenten mit sicherer KI-Anbindung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Geführtes Gespräch zur Gewissenserforschung anhand der Zehn Gebote mit KI-gestützten vertiefenden Rückfragen, vollständige Vertraulichkeits-Erklärung alle Eingaben verlassen nur verschlüsselt den Server ohne dauerhafte Speicherung sensibler Inhalte, Themenblock-Auswahl nach Lebensbereichen Familie/Beruf/Ehrlichkeit/Keuschheit, Formulierungshilfe für die eigentliche Beichte am Ende des Gesprächs, historische Erklärung zum Bußsakrament eingebettet, Reue-Akt-Text in mehreren Fassungen zur Auswahl, Erinnerungs-Funktion für regelmäßige Beichte, keine Speicherung sensibler Beichtinhalte auf dem Server ausdrücklich dokumentiert, Abbruch-Funktion jederzeit ohne Datenspur, Feedback nach der Nutzung zur Verbesserung der Fragestellungen, GSAP sanfte Übergangs-Animationen ruhige Farbgestaltung - USE CASE: Gläubige bereiten sich vor einem selten gewordenen Beichtgang strukturiert und ohne Scham vor einem Menschen vor, Priester empfehlen die App Beichtkindern als Vorbereitungshilfe außerhalb des Beichtstuhls. WICHTIG: der KI-Zugriff erfolgt zwingend über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt als Lehre aus dem kathbot31/kathbottts-Sicherheitsfund im eigenen Archiv gezogen und wie bei kathsafe6 sauber umgesetzt.\n\n43. **#343** — programmiere einen Heiliger-des-Tages-Erklärbot mit Proxy-Architektur - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle Heiligen-Anzeige nach dem römischen Generalkalender mit KI-generierter vertiefender Erklärung zu Leben und Bedeutung, Nachfrage-Funktion im Chat weitere Details zu Wunder/Patronaten/Reliquien zu erfragen, Quellenangaben zu anerkannten Hagiographien in den Antworten, Patron-Suchfunktion welcher Heilige für welches Anliegen zuständig ist, historische Einordnung des Heiligen in seine Zeit, Bildergalerie-Platzhalter zu bekannten Darstellungen, Merktag-Funktion eigenen Namenspatron favorisieren mit Erinnerung, Vergleichs-Chat mehrere Heilige desselben Tages gegenüberstellen, Kinderfreundlicher-Erklärmodus vereinfachte Sprache umschaltbar, Feedback-Sternebewertung pro Erklärung, GSAP Heiligen-Karten-Einblend-Animationen - USE CASE: Familien erfahren beim Frühstück kindgerecht mehr über den Tagesheiligen und dessen Patronate, Katecheten nutzen den Bot zur schnellen Recherche für Namenstagsfeiern in der Gemeinde. WICHTIG: sämtliche KI-Anfragen laufen über einen serverseitigen Proxy-Endpunkt, ein API-Key wird niemals im Browser sichtbar — die direkte Konsequenz aus dem dokumentierten kathbot31/kathbottts-Fund, korrekt gelöst wie bereits bei kathsafe6.\n\n44. **#344** — baue einen theologischen Frage-Antwort-Bot zu moraltheologischen Themen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface für Fragen zur katholischen Moraltheologie mit differenzierten, quellenbelegten Antworten, klare Kennzeichnung wann eine Frage über die KI-Kompetenz hinausgeht und ein persönliches Seelsorgegespräch empfohlen wird, Themenkategorien Sozialethik/Bioethik/Sexualmoral/Wirtschaftsethik strukturiert, Zitierfunktion mit Verweis auf Katechismus und lehramtliche Dokumente, Kontroversen-Kennzeichnung wo innerkirchlich unterschiedliche Auslegungstraditionen bestehen, Verwandte-Themen-Vorschläge nach jeder Antwort, Konversations-Historie durchsuchbar, Nutzungshinweis die App ersetzt kein persönliches Gespräch mit einem Priester prominent sichtbar, Feedback-Mechanismus bei fachlich fragwürdigen Antworten, Mehrsprachigkeit optional, GSAP Antwort-Streaming-Animationen - USE CASE: Studierende der Moraltheologie nutzen den Bot zur ersten Orientierung vor der Lektüre von Primärquellen, interessierte Laien erhalten differenzierte statt vereinfachte Antworten auf komplexe ethische Fragen. WICHTIG: der Bot ruft das Sprachmodell ausschließlich über einen serverseitigen Proxy auf, ein clientseitiger API-Key ist ausdrücklich verboten — dies ist die direkte, dokumentierte Lehre aus dem kathbot31/kathbottts-Sicherheitsfund, umgesetzt nach dem Vorbild von kathsafe6.\n\n45. **#345** — erstelle einen Bibelstellen-Erklärungs-Assistenten mit Proxy-gesicherter KI - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe einer Bibelstelle mit KI-generierter Auslegung unter Einbezug patristischer Kommentare, Kontext-Erklärung historischer und literarischer Hintergrund der Stelle, Verweis-Funktion zu verwandten Stellen im Kanon, mehrere Auslegungstraditionen nebeneinander wörtlich/allegorisch/moralisch/anagogisch nach dem vierfachen Schriftsinn, Kirchenväter-Zitat-Einbindung Augustinus/Hieronymus/Chrysostomus zur jeweiligen Stelle, Nachfrage-Chat für vertiefende Fragen zur Auslegung, Quellenangaben transparent nachvollziehbar, Lesezeichen-Sammlung erklärter Stellen, Export der Erklärung als Studienunterlage, Feedback-Mechanismus bei theologischen Unstimmigkeiten, GSAP Erklärungs-Einblend-Animationen - USE CASE: Bibelkreisleiter bereiten Auslegungen mit Rückgriff auf die klassische vierfache Schriftauslegung vor, ernsthafte Laien vertiefen ihr Verständnis schwieriger Bibelstellen über oberflächliche Lesarten hinaus. WICHTIG: alle Anfragen an das Sprachmodell laufen über einen serverseitigen Proxy, niemals über einen im Frontend sichtbaren API-Key — konsequente Umsetzung der Lehre aus dem kathbot31/kathbottts-Fund, wie bereits bei kathsafe6 vorgemacht.\n\n46. **#346** — entwickle einen KI-Gebetsvorschlags-Assistenten für persönliche Lebenslagen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Eingabe der eigenen Lebenssituation Trauer/Freude/Angst/Dankbarkeit mit KI-Vorschlag passender traditioneller Gebete statt KI-generierter Ersatzgebete, Bibliothek klassischer Gebete als bevorzugte Antwortquelle vor freier KI-Formulierung, transparente Kennzeichnung ob ein Gebetstext traditionell überliefert oder KI-unterstützt zusammengestellt wurde, Verweis auf passende Psalmen zur jeweiligen Stimmungslage, persönliche Gebets-Historie welche Vorschläge genutzt wurden, Feedback-Funktion ob der Vorschlag als hilfreich empfunden wurde, Fürsprecher-Empfehlung passender Heiliger je nach Anliegen, Erinnerungs-Funktion für wiederkehrende Anliegen, Mehrsprachigkeit für Gebetstexte, Offline-Fallback mit vorinstallierter Gebetsbibliothek ohne KI-Anbindung, GSAP sanfte Einblend-Animationen - USE CASE: Menschen in seelischer Not finden rasch ein passendes traditionelles Gebet statt einer unpersönlichen Standardantwort, Seelsorger empfehlen die App als niedrigschwelligen ersten Zugang zum Gebetsschatz der Kirche. WICHTIG: die KI-Komponente läuft ausschließlich über einen serverseitigen Proxy ohne jeglichen API-Key im Client, in direkter Konsequenz aus dem kathbot31/kathbottts-Fund und nach dem sicheren Vorbild von kathsafe6.\n\n47. **#347** — programmiere einen Apologetik-Trainings-Chatbot zum Einwände-Üben - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Simulierte Gesprächspartner-Rolle die typische Einwände gegen den katholischen Glauben vorbringt zum Übungszwecke, Schwierigkeitsgrade von häufigen Alltagsfragen bis zu anspruchsvollen philosophischen Einwänden, Feedback zur eigenen Antwort mit Verweis auf fundierte apologetische Argumentationslinien, Themenbibliothek Gottesbeweise/Theodizee/historische-Jesus-Frage/Kirchengeschichte-Kritik, Punktesystem für überzeugend formulierte Antworten als Lernanreiz, Nachbesprechungs-Modus bessere Formulierung nach eigenem Versuch vorgeschlagen, respektvoller Ton auch bei scharfen Einwänden ausdrücklich vorgegeben, Fortschritts-Tracking geübte Themenbereiche (ApexCharts Radial), Quellen-Verweis zu anerkannter apologetischer Literatur nach jeder Übung, Export eigener Übungsantworten zur Wiederholung, GSAP Dialog-Wechsel-Animationen - USE CASE: Ehrenamtliche in der Glaubensvermittlung üben souveräne Antworten auf kritische Nachfragen vor echten Gesprächen, Religionslehrer bereiten Oberstufenschüler auf kontroverse Diskussionen über den Glauben vor. WICHTIG: der simulierte Gesprächspartner läuft technisch über einen serverseitigen Proxy zum Sprachmodell, ein API-Key im Frontend ist ausgeschlossen — genau die Lehre aus dem dokumentierten kathbot31/kathbottts-Fund, sicher umgesetzt wie bei kathsafe6.\n\n48. **#348** — baue einen Kirchenrecht-Frage-Bot zum Codex Iuris Canonici - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface zu Fragen des kirchlichen Rechts mit Verweis auf die jeweils einschlägigen Canones, Themenbereiche Ehe-und-Eherecht/Sakramentenrecht/Kirchliches-Strafrecht/Verfahrensrecht strukturiert, klare Kennzeichnung wann eine Frage anwaltliche beziehungsweise offizielle bischöfliche Klärung erfordert, Zitierfunktion mit korrekter Canon-Nummerierung, Verwandte-Canones-Vorschläge nach jeder Antwort, Fallbeispiel-Bibliothek anonymisierter typischer Anfragen zur Veranschaulichung, Glossar kirchenrechtlicher Fachbegriffe, Konversations-Export für die eigene Weiterbearbeitung mit einem Kirchenrechtler, Feedback-Mechanismus bei fachlichen Unstimmigkeiten, Mehrsprachigkeit für lateinische Fachtermini mit Übersetzung, GSAP Antwort-Streaming-Animationen - USE CASE: Pfarrsekretäre erhalten eine erste Orientierung zu kirchenrechtlichen Standardfragen etwa im Eheprozess, Kirchenrecht-Studierende nutzen den Bot zur Vertiefung mit korrekten Canon-Verweisen. WICHTIG: alle Sprachmodell-Aufrufe erfolgen über einen serverseitigen Proxy, niemals über einen im Client hinterlegten API-Key — die direkte technische Lehre aus dem kathbot31/kathbottts-Fund, sauber gelöst analog zu kathsafe6.\n\n49. **#349** — erstelle einen Familiengebets-KI-Assistenten zur gemeinsamen Andachtsplanung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KI-gestützte Vorschläge für altersgerechte Familienandachten je nach Kinderalter und Kirchenjahreszeit, Themenbibliothek Adventskranz-Andacht/Tischgebet-Varianten/Abendgebet-für-Kinder als bevorzugte Quelle vor freier KI-Formulierung, Interaktive Erstellung eines individuellen Wochenplans für Familiengebet, Verweis auf altersgerechte Bibelgeschichten passend zum jeweiligen Sonntag, Feedback-Funktion der Kinder wie das Gebet ankam als Emoji-Bewertung, Erinnerungs-Funktion für die vereinbarte Gebetszeit, Vorlagen-Bibliothek für besondere Anlässe Geburtstag/Krankheit/Trauerfall in der Familie, Mehrsprachigkeits-Option für binationale Familien, Offline-Vorlagen-Fallback ohne KI-Anbindung verfügbar, Transparenz-Hinweis welche Inhalte KI-unterstützt und welche traditionell überliefert sind, GSAP kindgerechte verspielte Animationen - USE CASE: Familien gestalten das gemeinsame Gebet abwechslungsreich altersgerecht statt immer dieselbe Formel zu wiederholen, Pfarreien empfehlen die App jungen Familien zur Stärkung der häuslichen Glaubenspraxis. WICHTIG: die KI-Funktion läuft ausschließlich über einen serverseitigen Proxy, ein API-Key wird nie im Browser gespeichert — konsequent umgesetzt nach der Lehre aus dem kathbot31/kathbottts-Fund und dem sicheren Muster von kathsafe6.\n\n50. **#350** — entwickle einen RCIA-Vorbereitungs-Chatbot für Taufbewerber - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface für Fragen von Katechumenen und Taufbewerbern zu Glaubensinhalten und dem Ablauf der Eingliederung, strukturierte Begleitung entlang der klassischen RCIA-Phasen Anfrage/Katechumenat/Erleuchtung/Mystagogie, persönlicher Fragen-Verlauf während der gesamten Vorbereitungszeit, Verweis auf passende Katechismus-Abschnitte zu gestellten Fragen, Terminübersicht der Riten während des Katechumenats Aufnahme/Skrutinien/Osternacht-Taufe, Austauschmöglichkeit mit dem eigenen Paten-Kontakt außerhalb der KI, Fortschritts-Tracking durch die Vorbereitungsphasen (ApexCharts Stepper), Feedback-Mechanismus bei unklaren oder fachlich fragwürdigen Antworten, klare Kennzeichnung dass die App die persönliche Begleitung durch Priester und Katecheten ergänzt statt ersetzt, GSAP Phasen-Fortschritts-Animationen - USE CASE: Erwachsene auf dem Weg zur Taufe oder vollen Aufnahme in die Kirche klären Verständnisfragen niedrigschwellig zwischen den Katechumenats-Treffen, Gemeindekatecheten entlasten die persönliche Begleitung durch eine gut dokumentierte KI-Ergänzung. WICHTIG: sämtliche KI-Aufrufe laufen über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt die Konsequenz aus dem im eigenen Bestand dokumentierten kathbot31/kathbottts-Sicherheitsfund, so wie es kathsafe6 bereits vorbildlich löst.\n\n## Kategorie 6: HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)\n\n51. **#351** — erstelle einen Heiligen-Biografie-Explorer mit Patronats-Suche - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbare Heiligen-Datenbank mit Lebensdaten/Herkunft/Ordenszugehörigkeit, Patronats-Suchfunktion welcher Heilige für welchen Berufsstand oder welches Anliegen zuständig ist, Zeitepochen-Filter Urkirche/Mittelalter/Neuzeit/Moderne, Kanonisierungsprozess-Erklärung Seligsprechung versus Heiligsprechung mit Ablaufschema, Wunder-Dokumentation soweit offiziell anerkannt mit Quellenangabe, Ikonografie-Erklärung typische Attribute in der Kunstdarstellung, Verwandte-Heilige-Vorschläge gleicher Orden oder gleiches Jahrhundert, Namenstag-Kalender-Verknüpfung, Zitat-Sammlung überlieferter Aussprüche, Favoriten-Liste eigener Namenspatrone und Fürsprecher, Export Heiligen-Steckbrief als PDF, GSAP Biografie-Karten-Animationen - USE CASE: Gläubige finden gezielt einen passenden Fürsprecher für ein bestimmtes Lebensanliegen, Katecheten bereiten Namenstagsfeiern mit fundiertem biografischem Hintergrundwissen vor.\n\n52. **#352** — entwickle eine Kirchengeschichte-Zeitleiste von der Urkirche bis heute - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Interaktive Zeitleiste über zwei Jahrtausende mit Epochen-Einteilung Verfolgungszeit/Konstantinische-Wende/Mittelalter/Reformation/Moderne (D3.js Timeline), Klick-Vertiefung zu Schlüsselereignissen mit Quellenangabe, Konzilien-Markierungen entlang der Zeitleiste mit direkter Verlinkung, Päpste-Zuordnung welcher Papst zu welcher Epoche amtierte, Schisma-und-Einheits-Ereignisse Ost-West-Schisma-1054 und Reformation-1517 mit historischer Einordnung, Missions-Ausbreitungs-Karten-Verweis pro Epoche, Ordensgründungen entlang der Zeitleiste markiert, Verfolgungs-und-Martyrium-Perioden mit Zahlen soweit historisch belegt, Filterfunktion nach Region oder Themenschwerpunkt, Export einzelner Epochen als Unterrichtsmaterial, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Religionslehrer vermitteln die zweitausendjährige Kirchengeschichte anschaulich im Gesamtzusammenhang statt in isolierten Einzelstunden, Geschichtsinteressierte Laien verschaffen sich einen fundierten chronologischen Überblick.\n\n53. **#353** — programmiere einen Martyrologium-Kalender mit Tagesgedenken - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle Anzeige der im römischen Martyrologium verzeichneten Märtyrer und Heiligen des Tages, historischer Hintergrund zum Martyrium mit Ort und Umständen soweit überliefert, Verfolgungsperioden-Zuordnung Römische-Verfolgung/Reformationszeit/Moderne-Verfolgung, Filterfunktion nach Jahrhundert oder Region, Gedenktag-Erinnerungs-Funktion für persönlich bedeutsame Märtyrer, Zitat-Sammlung letzter überlieferter Worte soweit dokumentiert, Vergleichs-Statistik Anzahl verzeichneter Märtyrer pro Jahrhundert (ApexCharts Balken), Bildungsmaterial-Export für den Religionsunterricht, Verwandte-Märtyrer-Gruppen gemeinsam hingerichtete Gruppen zusammengefasst, moderne Märtyrer-Sektion mit Bezug auf das 20. und 21. Jahrhundert, Suchfunktion nach Namen oder Ort, GSAP Tagesgedenken-Einblend-Animationen - USE CASE: Pfarreien gestalten Gedenkgottesdienste mit historisch fundiertem Hintergrundwissen zu den Tagesmärtyrern, Geschichtsinteressierte erschließen sich systematisch die Verfolgungsgeschichte des Christentums über die Jahrhunderte.\n\n54. **#354** — baue ein Geschichtsarchiv bedeutender Wallfahrtsorte - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historische Entstehungsgeschichte bedeutender Wallfahrtsorte Lourdes/Fatima/Santiago-de-Compostela/Altötting mit belegtem Erscheinungs- oder Gründungskontext, kirchliche Anerkennungsgeschichte des jeweiligen Ortes mit Datum, Wallfahrts-Entwicklung über die Jahrhunderte Besucherzahlen-Verlauf soweit dokumentiert (ApexCharts Line), architekturgeschichtliche Entwicklung der Wallfahrtskirche, bedeutende Papstbesuche am jeweiligen Ort chronologisch, Legenden-versus-historisch-belegte-Fakten transparent unterschieden, Reliquien-und-Gnadenbild-Beschreibung, Vergleichs-Ansicht mehrerer Wallfahrtsorte nebeneinander, Zitat-Sammlung bedeutender Wallfahrer-Berichte, Bildungsmaterial-Export, GSAP historische Zeitleisten-Animationen - USE CASE: Geschichtsinteressierte Pilger vertiefen ihr Verständnis für die historische Entwicklung eines Wallfahrtsortes vor dem eigenen Besuch, Reiseleiter kirchlicher Gruppenreisen bereiten fundierte historische Erläuterungen für Wallfahrtsgruppen vor.\n\n55. **#355** — erstelle einen Konzilsgeschichte-Visualizer von Nicäa bis zum Zweiten Vatikanum - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Chronologische Übersicht aller 21 ökumenischen Konzilien mit Ort/Jahr/Hauptthema, Vertiefungs-Ansicht pro Konzil zentrale Beschlüsse und deren Bedeutung, Nicäa-325-Schwerpunkt Homousios-Formel und Trinitätslehre verständlich erklärt, Trient-Schwerpunkt Reaktion auf die Reformation mit zentralen Dekreten, Vatikanum-I-und-II-Vergleich Unfehlbarkeitsdogma und pastorale Öffnung gegenübergestellt, Teilnehmerzahlen-Entwicklung über die Jahrhunderte (ApexCharts Balken), Streitfragen-Sektion pro Konzil welche Positionen diskutiert und welche verworfen wurden, Rezeptionsgeschichte wie Konzilsbeschlüsse in der Kirche aufgenommen wurden, Glossar konziliarer Fachbegriffe Dogma/Kanon/Dekret, Quellenangaben zu den Originaltexten, GSAP Konzils-Zeitleisten-Animationen - USE CASE: Theologiestudierende erarbeiten sich einen strukturierten Überblick über die Konzilsgeschichte für Prüfungen, Katecheten erklären interessierten Laien die Entwicklung zentraler Glaubenslehren anhand der Konzilsgeschichte nachvollziehbar.\n\n56. **#356** — entwickle einen Ordensgeschichte-Tracker religiöser Gemeinschaften - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Datenbank bedeutender Ordensgemeinschaften Benediktiner/Franziskaner/Dominikaner/Jesuiten mit Gründungsjahr und Gründergestalt, Ordensregel-Kurzvergleich Benediktinerregel-Ora-et-Labora versus franziskanisches Armutsideal versus jesuitische Exerzitien-Spiritualität, Ausbreitungs-Zeitleiste pro Orden über die Jahrhunderte, Reformbewegungen-innerhalb-der-Orden zum Beispiel Zisterzienser als Benediktiner-Reform, Charismen-Vergleich Kontemplation/Bildung/Mission/Predigt pro Ordensfamilie, bedeutende Ordensmitglieder-Verweis zu zugehörigen Heiligen, heutige Präsenz-Übersicht Mitgliederzahlen-Entwicklung soweit dokumentiert (ApexCharts Line), Kloster-Architektur-Merkmale pro Ordenstradition, Suchfunktion nach Orden oder Gründungsjahrhundert, Vergleichstabelle mehrerer Orden nebeneinander, GSAP Ordens-Zeitleisten-Animationen - USE CASE: Studierende der Kirchengeschichte verschaffen sich einen systematischen Überblick über die Vielfalt religiöser Gemeinschaften, an Ordensberufung Interessierte informieren sich fundiert über Charisma und Geschichte verschiedener Ordensfamilien.\n\n57. **#357** — programmiere einen Katakomben-und-Frühchristentum-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übersicht bedeutender römischer Katakomben Calixtus/Domitilla/Priscilla mit historischem Entstehungskontext, frühchristliche Symbolik-Erklärung Fisch-Ichthys/Anker/Guter-Hirte mit Bedeutungshintergrund, Verfolgungsperioden-Zeitleiste unter verschiedenen römischen Kaisern, archäologische Fundstücke-Beschreibung Inschriften und Grabmalereien, Alltagsleben-der-Urkirche-Sektion Hausgemeinden und geheime Zusammenkünfte, Konstantinische-Wende-Erklärung Mailänder-Vereinbarung-313 und deren Folgen, Vergleich frühchristlicher versus späterer kirchlicher Kunst, Glossar frühchristlicher Fachbegriffe, virtuelle-Rundgang-Beschreibung Mockup durch eine Katakombe mit Stationen, Quellenangaben zu archäologischen und patristischen Belegen, GSAP Katakomben-Rundgang-Animationen - USE CASE: Geschichtsinteressierte erschließen sich anschaulich das Leben der Urkirche vor der Konstantinischen Wende, Pilger nach Rom bereiten den Besuch der Katakomben mit fundiertem historischem Hintergrundwissen vor.\n\n58. **#358** — baue eine Päpste-Chronik mit vollständiger Zeitleiste - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Chronologische Liste aller Päpste von Petrus bis zur Gegenwart mit Pontifikatsdauer, Amtszeit-Statistik längste und kürzeste Pontifikate im Vergleich (ApexCharts Balken), historische Einordnung jedes Pontifikats in seine Epoche, Gegenpapst-Kennzeichnung Zeiten des Abendländischen Schismas transparent erklärt, thematische Filterung Reform-Päpste/Konzils-Päpste/Missions-Päpste, Enzykliken-Verweis zu bedeutenden Lehrschreiben pro Papst, Wahlverfahren-Erklärung Konklave-Ablauf mit historischer Entwicklung, Herkunfts-Statistik geografische Verteilung der Päpste über die Jahrhunderte, Suchfunktion nach Name oder Jahrhundert, Vergleichsansicht zweier Pontifikate nebeneinander, GSAP Papst-Portrait-Zeitleisten-Animationen - USE CASE: Geschichtsinteressierte verschaffen sich einen strukturierten Überblick über zweitausend Jahre Papstgeschichte, Religionslehrer nutzen die Chronik zur Veranschaulichung der ununterbrochenen apostolischen Sukzession im Unterricht.\n\n59. **#359** — erstelle ein Studientool zu den großen Kirchenvätern - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Profile bedeutender Kirchenväter Augustinus/Ambrosius/Hieronymus/Chrysostomus/Gregor-der-Große mit Lebensdaten und theologischem Schwerpunkt, Kernwerke-Übersicht pro Kirchenvater mit Kurzzusammenfassung, Zitat-Sammlung bekannter Aussprüche mit Quellenangabe, Ost-West-Kennzeichnung griechische versus lateinische Kirchenväter mit jeweiligem theologischem Akzent, Einfluss-Netzwerk-Visualisierung wer wen theologisch beeinflusst hat (D3.js Graph), Lehramtliche-Rezeption-Sektion wie Kirchenväter-Aussagen in spätere Konzilsentscheidungen einflossen, Lesehilfe-Auszüge aus Originalwerken mit Erläuterung, Vergleichstabelle theologischer Positionen zu zentralen Streitfragen, Suchfunktion nach Thema oder Kirchenvater, Studienplan-Vorschlag für eine systematische Kirchenväter-Lektüre, GSAP Portrait-Karten-Animationen - USE CASE: Theologiestudierende bereiten sich mit strukturiertem Grundwissen auf patristische Seminare vor, ernsthafte Laien vertiefen ihr Verständnis der frühen Kirche über die Lehre der Kirchenväter.\n\n60. **#360** — entwickle ein Dokumentationsarchiv zu Reliquien und anerkannten Wundern - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Übersicht bedeutender Reliquien mit Aufbewahrungsort und Echtheits-Diskussionsstand nach kirchlicher Prüfung, Erklärung der Reliquien-Kategorien Erster-Zweiter-Dritter-Grad nach kirchlichem Verständnis, Wunder-Dokumentation im Rahmen von Kanonisierungsprozessen mit dem Ablauf der medizinischen und theologischen Prüfung, bekannte eucharistische Wunder-Sektion mit historischem Prüfungsstand, kritische-und-respektvolle-Darstellung wissenschaftlich ungeklärter Phänomene ohne unseriöse Sensationalisierung, Zeitleiste bedeutender Kanonisierungsprozesse, Glossar der Fachbegriffe Translation/Kultstätte/Authentizitätsprüfung, Quellenangaben zu offiziellen kirchlichen Untersuchungsberichten, Suchfunktion nach Ort oder Heiligem, Bildungsmaterial-Export für interessierte Gruppen, GSAP Dokumentations-Karten-Animationen - USE CASE: Geschichtsinteressierte erschließen sich die kirchliche Prüfpraxis bei Reliquien und Wundern sachlich und differenziert, Wallfahrtsseelsorger nutzen die fundierte Dokumentation zur seriösen Beantwortung von Pilgerfragen vor Ort.\n\n## Kategorie 7: KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)\n\n61. **#361** — erstelle ein Studientool zum Katechismus der Katholischen Kirche nach den vier Säulen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Gliederung nach den vier Säulen Glaubensbekenntnis/Sakramente/Leben-in-Christus/Gebet mit Randnummern-Navigation, interaktives Inhaltsverzeichnis mit Sprungmarken zu jedem Abschnitt, Zusammenfassung-am-Kapitelende jeweils als kompakte Lernkarte, Querverweis-System zwischen thematisch verwandten Randnummern, persönlicher Lesefortschritt durch den gesamten Katechismus (ApexCharts Kalender-Heatmap), Quiz-Modus nach jedem Kapitel zur Selbstüberprüfung, Glossar-Popover für Fachbegriffe bei Hover, Suchfunktion Volltext mit Ergebnis-Hervorhebung, Randnummern-Lesezeichen für laufende Studienprojekte, Gruppen-Lesevergleich-Mockup für Katechismus-Kreise, Export eigener Notizen pro Abschnitt als PDF, GSAP Kapitel-Übergangs-Animationen - USE CASE: Erwachsene in der Glaubensbildung erarbeiten sich den Katechismus strukturiert statt unsystematisch zu blättern, Katechismus-Kreise in Pfarreien verfolgen gemeinsam den Lesefortschritt durch das gesamte Werk über mehrere Monate.\n\n62. **#362** — entwickle ein scholastisches Summa-Glossar zu zentralen Begriffen der Theologie - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Glossar scholastischer Fachbegriffe Substanz/Akzidenz/Transsubstantiation/Analogia-Entis mit verständlicher Erklärung, Struktur-Nachbildung der Summa Theologiae Frage-Einwand-Sed-Contra-Antwort als Lernschema, thematische Verknüpfung zu den fünf Gottesbeweisen des Thomas von Aquin mit Kurzerläuterung jedes Weges, Vergleich scholastischer Begriffe mit heutigem Sprachgebrauch zur besseren Verständlichkeit, Quellenangaben zu den jeweiligen Quästionen der Summa, historische Einordnung der Scholastik im 13. Jahrhundert und ihres Verhältnisses zur aristotelischen Philosophie, Übungsaufgaben Begriff der passenden Definition zuordnen, Suchfunktion über alle Begriffe, Lernkarten-Modus mit Wiederholungsalgorithmus, Verwandte-Begriffe-Netzwerk-Visualisierung (D3.js Graph), GSAP Begriffs-Karten-Animationen - USE CASE: Theologiestudierende erschließen sich die scholastische Fachterminologie systematisch vor der Lektüre der Summa Theologiae im Original, Interessierte Laien nähern sich der thomistischen Philosophie über verständlich aufbereitete Grundbegriffe an.\n\n63. **#363** — programmiere einen Firmvorbereitungs-Tracker für Jugendgruppen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Vorbereitungsplan über mehrere Monate mit Themenblöcken Heiliger-Geist/Firmpatron/Sieben-Gaben-des-Geistes, Anwesenheits-Tracking der Gruppentreffen, sieben-Gaben-Erklärung Weisheit/Verstand/Rat/Stärke/Erkenntnis/Frömmigkeit/Gottesfurcht mit alltagsnahen Beispielen, Firmpatron-Auswahl-Hilfe mit Kurzbiografien zur Namensfindung, Sozialprojekt-Dokumentation verpflichtender Praxisanteil vor der Firmung, Elternabend-Terminverwaltung, persönliches Glaubens-Tagebuch während der Vorbereitungszeit, Firmspender-und-Termin-Übersicht, Fortschritts-Anzeige durch alle Vorbereitungsmodule (ApexCharts Stepper), Gruppenleiter-Materialbibliothek Vorlagen für Gruppenstunden, GSAP Modul-Freischalt-Animationen - USE CASE: Firmkatecheten koordinieren die mehrmonatige Vorbereitung mit klarer Struktur und Transparenz für Jugendliche und Eltern, Jugendliche dokumentieren die eigene Glaubensentwicklung während der Firmvorbereitung nachvollziehbar.\n\n64. **#364** — baue ein Erstkommunion-Vorbereitungs-Tool für Kinder und Katecheten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kindgerechter Lernpfad zur Eucharistie mit Bildern und einfacher Sprache, Themenblöcke Letztes-Abendmahl/Wandlung/Kommunionempfang altersgerecht erklärt, Malvorlagen-Platzhalter zu biblischen Szenen des Abendmahls, Eltern-Bereich mit Hintergrundinformationen zur Begleitung zuhause, Gruppentreffen-Kalender mit Themenübersicht, kleine Quizfragen nach jedem Themenblock mit Sternebelohnung, Erstbeichte-Vorbereitung als vorgeschalteter Themenblock kindgerecht erklärt, Fortschritts-Sticker-Sammlung durch die Vorbereitungszeit (ApexCharts Radial), Gebete-zum-Auswendiglernen kindgerecht mit Wiederholungsfunktion, Fest-Checkliste für den Tag der Erstkommunion, Erinnerungsalbum-Funktion Fotos und Erinnerungen Mockup-Platzhalter, GSAP kindgerechte verspielte Animationen - USE CASE: Katecheten gestalten die Erstkommunionvorbereitung altersgerecht und strukturiert über das gesamte Vorbereitungsjahr, Eltern begleiten die Glaubensentwicklung ihres Kindes zuhause mit den bereitgestellten Hintergrundinformationen.\n\n65. **#365** — erstelle ein RCIA-Vorbereitungs-Tracker für die Erwachsenentaufe - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Abbildung der vier RCIA-Phasen Anfrage-Katechumenat-Erleuchtung-Mystagogie mit Zeitplan, Themen-Curriculum pro Phase Glaubensgrundlagen/Sakramentenlehre/Kirchenjahr, Riten-Kalender Aufnahme-in-den-Katechumenat/Wahl-Rite/Skrutinien/Taufe-in-der-Osternacht, Paten-Kontakt-Verwaltung pro Taufbewerber, persönliches Glaubens-Tagebuch während der gesamten Vorbereitungszeit, Fortschritts-Dashboard pro Teilnehmer für die begleitenden Katecheten (ApexCharts Stepper), Fragen-Sammlung für Rückfragen an Priester oder Katecheten, Mystagogie-Nachbereitung-Modul für die Zeit nach der Taufe, Gruppentreffen-Terminverwaltung, Zertifikat-Vorbereitung für die Feier der Sakramente, GSAP Phasen-Fortschritts-Animationen - USE CASE: Pfarreien mit RCIA-Programm koordinieren die mehrmonatige Erwachsenenkatechese strukturiert für mehrere Taufbewerber gleichzeitig, Katecheten dokumentieren den individuellen geistlichen Fortschritt jedes Teilnehmers nachvollziehbar.\n\n66. **#366** — entwickle eine Apologetik-Argumente-Bibliothek nach Themenfeldern - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierte Argument-Sammlung zu häufigen Einwänden gegen den katholischen Glauben nach Themenfeldern Gottesbeweise/Bibel-und-Wissenschaft/Kirchengeschichte-Kritik/Sakramentenlehre, jeweils Einwand-Gegenargument-Quellenangabe-Format konsequent durchgehalten, historische Herkunft des jeweiligen Einwands zur Einordnung, Schwierigkeitsgrad-Kennzeichnung Alltagsgespräch versus akademische Diskussion, Verwandte-Argumente-Verknüpfung thematisch zusammenhängender Einwände, Zitat-Sammlung anerkannter Apologeten mit Quellenangabe, Suchfunktion über alle Argumente, persönliche Merkliste häufig gebrauchter Argumentationslinien, respektvoller-Ton-Leitfaden wie Einwände ohne Herabsetzung des Gegenübers beantwortet werden, Übungsmodus eigene Antwort formulieren vor Anzeige der Musterantwort, GSAP Argument-Karten-Animationen - USE CASE: Ehrenamtliche in der Glaubensvermittlung bereiten sich mit einer strukturierten Argumentbibliothek auf kritische Nachfragen vor, Religionslehrer nutzen die Sammlung zur Vorbereitung von Diskussionseinheiten im Oberstufenunterricht.\n\n67. **#367** — programmiere ein Moraltheologie-Fallstudien-Tool für Studiengruppen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fallbeispiel-Bibliothek zu klassischen moraltheologischen Fragestellungen nach Themenfeldern Gewissensfreiheit/Soziallehre/Bioethik strukturiert, geführte Analyse-Methode nach den Prinzipien der katholischen Moraltheologie objektive-Handlung/subjektive-Umstände/Absicht, Diskussionsfragen pro Fallbeispiel für Gruppenarbeit, Verweis auf einschlägige Katechismus-Abschnitte und lehramtliche Dokumente zu jedem Fall, unterschiedliche-Positionen-innerhalb-der-Moraltheologie transparent dargestellt wo legitime Auslegungsspielräume bestehen, eigene Stellungnahme-Formular vor Anzeige der kirchlichen Position, Fortschritts-Tracking bearbeiteter Fallstudien, Export der Gruppendiskussion als Protokoll, Schwierigkeitsgrad-Filter nach Studiensemester, Quellenverzeichnis pro Fallstudie, GSAP Fallstudien-Karten-Animationen - USE CASE: Theologiestudierende üben die methodische Anwendung moraltheologischer Prinzipien an konkreten Fallbeispielen, Firm- und Ehevorbereitungsgruppen diskutieren ethische Grundfragen strukturiert anhand alltagsnaher Fälle.\n\n68. **#368** — baue ein interaktives Erklärtool zur Sakramentenlehre - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle sieben Sakramente mit verständlicher Erklärung von Materie/Form/Wirkung nach katholischer Sakramententheologie, Einteilung nach Initiationssakramenten/Heilungssakramenten/Dienstsakramenten strukturiert dargestellt, Ex-opere-operato-Prinzip verständlich erklärt für interessierte Laien, Wiederholbarkeit-versus-Einmaligkeit-Erklärung mit dem theologischen Konzept des Charakter Sacramentalis, Vergleichstabelle der sieben Sakramente nach Wirkung und Spendevoraussetzung, historische Entwicklung der Siebenzahl der Sakramente bis zum Konzil von Trient, Quiz-Modus zur Selbstüberprüfung des Verständnisses, Glossar sakramententheologischer Fachbegriffe, Verweis auf passende Katechismus-Randnummern, persönliches Lerntagebuch, GSAP Sakraments-Karten-Animationen - USE CASE: Firmlinge und Taufbewerber verstehen die theologische Struktur der Sakramente über das reine Auswendiglernen hinaus, Katecheten nutzen das Tool zur verständlichen Erklärung komplexer sakramententheologischer Konzepte im Unterricht.\n\n69. **#369** — erstelle einen Vokabeltrainer für Kirchenlatein - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabel-Sammlung zentraler liturgischer und theologischer lateinischer Begriffe mit deutscher Übersetzung, Kategorisierung nach Messordnung/Sakramente/Gebete/Kirchenrecht, Spaced-Repetition-Algorithmus für nachhaltiges Lernen, Aussprache-Hinweis nach kirchlicher Latein-Aussprache-Tradition, ganze-Gebetstexte-Übungsmodus Vaterunser und Ave Maria im lateinischen Original mit Wort-für-Wort-Übersetzung, Deklinations-und-Konjugations-Übungen anhand liturgischer Beispielsätze, Fortschritts-Tracking gelernter Vokabeln (ApexCharts Kalender-Heatmap), Karteikarten-Modus mit Umdreh-Animation, Quiz-Modus mit Multiple-Choice und Freitext, Zertifikat bei abgeschlossenem Grundwortschatz, historische Einordnung warum Latein bis heute liturgische Bedeutung hat, GSAP Karten-Flip-Animationen - USE CASE: Ministranten und Kirchenmusiker lernen die lateinischen Grundbegriffe der Liturgie systematisch, Studierende der katholischen Theologie bereiten sich mit dem liturgischen Grundwortschatz auf das Latinum vor.\n\n70. **#370** — entwickle einen Tugendlehre-Tracker für die täglichen Kardinal- und theologischen Tugenden - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Die vier Kardinaltugenden Klugheit/Gerechtigkeit/Tapferkeit/Mäßigung und die drei theologischen Tugenden Glaube/Hoffnung/Liebe mit verständlicher Erklärung nach klassischer Tugendlehre, tägliche Selbstreflexion welche Tugend heute besonders gefordert war, Wochenrückblick Tugend-Praxis-Diagramm (ApexCharts Radar), thematische Vertiefung pro Tugend mit Bibelstellen-Bezug und Aussagen der Kirchenväter, Gegensatz-Laster-Erklärung zu jeder Tugend nach den Hauptsünden, Vorbild-Heilige pro Tugend als Fürsprecher-Vorschlag, persönliches Wachstums-Tagebuch über mehrere Monate, Erinnerungs-Funktion zur abendlichen Reflexion, Zitat-Rotation klassischer Tugendlehre-Texte von Aristoteles bis Thomas von Aquin, Vergleichsansicht eigene Entwicklung über Zeit, GSAP Tugend-Fortschritts-Animationen - USE CASE: Gläubige arbeiten strukturiert an der eigenen charakterlichen und geistlichen Reifung nach klassischer Tugendlehre, Exerzitienbegleiter nutzen den Tracker als Vorlage für die Reflexionsarbeit während einer Einkehrzeit.\n\n## Kategorie 8: PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)\n\n71. **#371** — erstelle einen Jakobsweg-Planer für die 3500 Kilometer nach Santiago - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Routenkarte mit den wichtigsten Jakobsweg-Varianten Camino-Francés/Camino-Portugués/Camino-del-Norte, Etappen-Planer mit Tagesstrecken und Höhenprofil (D3.js), Herbergsverzeichnis-Mockup entlang der Route mit Kapazitätsangabe, Tagesziel-Tracking mit tatsächlich zurückgelegter Distanz, Ausrüstungs-Checkliste speziell für Mehrwochen-Fußpilgerschaft, Pilgerpass-Digital-Ergänzung zur physischen Credencial, Budget-Rechner für Herbergen und Verpflegung über die gesamte Strecke, Etappen-Tagebuch mit Foto-Platzhalter und Reflexionsnotiz, spirituelle-Impulse-pro-Etappe passend zur zurückgelegten Kirche oder Kapelle, Notfallkontakte-und-Gesundheitsinfo-Sektion, Wettervorhersage-Platzhalter für die kommenden Etappen, GSAP Routenfortschritts-Animationen - USE CASE: Pilger planen eine mehrwöchige Fußwallfahrt von mehreren tausend Kilometern strukturiert und realistisch, Pilgerbegleiter und Pfarrgruppen koordinieren gemeinsame Camino-Reisen mit einheitlicher Etappenplanung.\n\n72. **#372** — entwickle eine interaktive Karte bedeutender Wallfahrtsorte weltweit - HTML - TECH: Materialize+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Leaflet-Weltkarte mit den bedeutendsten Marien- und Heiligenwallfahrtsorten Lourdes/Fatima/Guadalupe/Altötting/Loreto, Filterfunktion nach Marienerscheinungsort/Reliquienort/Apostelgrab, Detailinfo pro Ort Gründungsgeschichte/kirchliche Anerkennung/jährliche Pilgerzahl, Routenplanungs-Funktion mehrere Wallfahrtsorte einer Reise verbinden, persönliche Besuchsliste bereits besuchter und geplanter Orte, Ablasshinweise soweit kirchlich verbunden mit dem jeweiligen Ort, Fest-und-Wallfahrtssaison-Kalender pro Ort, Anreise-Hinweise-Mockup nächstgelegener Flughafen oder Bahnhof, Gebetsanliegen-Verknüpfung eigene Anliegen einem geplanten Wallfahrtsort zuordnen, Bildergalerie-Platzhalter pro Wallfahrtsort, Community-Erfahrungsberichte-Mockup anderer Pilger, GSAP Kartenmarker-Animationen - USE CASE: Pilger planen internationale Wallfahrtsreisen mit fundiertem Vorwissen zu den jeweiligen Orten, Reiseveranstalter kirchlicher Gruppenreisen nutzen die Karte zur übersichtlichen Routengestaltung mehrerer Wallfahrtsziele.\n\n73. **#373** — programmiere ein Verzeichnis bedeutender Reliquien und Schreine - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbare Datenbank bedeutender Reliquienschreine mit Aufbewahrungsort und zugehörigem Heiligen, Kategorisierung nach Reliquientyp Körperreliquie/Berührungsreliquie/Kreuzreliquie, historische Translations-Geschichte wie die Reliquie an ihren heutigen Ort gelangte, Öffnungszeiten-und-Zugänglichkeits-Hinweis-Mockup für Pilger, Wallfahrts-Etikette-Erklärung angemessenes Verhalten am Schrein, Verknüpfung zum zugehörigen Heiligen-Profil mit Lebensgeschichte, Fest-und-Verehrungstage-Kalender pro Reliquie, Kartenverweis geografische Lage des Schreins, persönliche Besuchsliste mit Notizfeld, Ähnliche-Schreine-Empfehlung gleicher Heiliger oder Region, Export Reiseliste geplanter Schrein-Besuche, GSAP Schrein-Detail-Animationen - USE CASE: Pilger recherchieren vor einer Reise gezielt erreichbare Reliquienschreine entlang der geplanten Route, Wallfahrtsseelsorger bereiten Gruppenreisen mit fundiertem Hintergrundwissen zu den besuchten Schreinen vor.\n\n74. **#374** — baue einen Budget-Planer für mehrwöchige Pilgerreisen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kostenkategorien-Planer Herberge/Verpflegung/Ausrüstung/Reisekosten mit Tagesbudget-Vorschlag, Vergleich unterschiedlicher Pilgerwege nach durchschnittlichen Tageskosten Jakobsweg versus Via-Francigena versus Heiliges-Land-Reise, Ausgaben-Tracking während der Reise mit Kategorien-Aufteilung (ApexCharts Donut), Sparziel-Rechner Wochen bis zur benötigten Reisesumme, Notfallreserve-Empfehlung als Prozentsatz des Gesamtbudgets, Währungsumrechner für internationale Pilgerreisen, Herbergstyp-Kostenvergleich Pilgerherberge versus Pension versus Kloster-Gästehaus, Fundraising-Sektion für Pilger die um Unterstützung ihrer Gemeinde bitten, Budget-Historie vergangener Pilgerreisen, Export Budgetplan als PDF, Gruppen-Kostenteilung-Rechner für gemeinsame Wallfahrten, GSAP Budget-Balken-Animationen - USE CASE: Pilger planen mehrwöchige Fußwallfahrten finanziell realistisch ohne böse Überraschungen unterwegs, Pfarreien mit Fundraising-Aktion für Jugendwallfahrten kalkulieren den tatsächlichen Bedarf transparent.\n\n75. **#375** — erstelle eine Packlisten-App speziell für Fußwallfahrten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Spezialisierte Packlisten-Vorlagen nach Jahreszeit und Streckenlänge kurz-Wochenend-Wallfahrt versus mehrwöchiger Camino, Gewichts-Tracker pro Gepäckstück mit Gesamtgewichts-Warnung bei Überschreitung des empfohlenen Rucksackgewichts, Kategorien-Checkliste Kleidung/Fußpflege/Erste-Hilfe/geistliche-Ausrüstung, spirituelle-Reiseausrüstung-Sektion Taschenbibel/Rosenkranz/Pilgergebetbuch als eigene Kategorie, Wetterabhängige-Anpassungsvorschläge je nach Reisezeit, Erfahrungsberichte-Integration-Mockup was erfahrene Pilger tatsächlich mitnehmen würden, Mehrfachnutzungs-Prinzip-Tipps um Gepäck zu minimieren, persönliche Packliste speicherbar und für Folgereisen wiederverwendbar, Abhak-Funktion während des tatsächlichen Packens, Reisegruppen-Vergleich gemeinsame versus individuelle Ausrüstung, Vergessene-Gegenstände-Historie aus früheren Reisen lernen, GSAP Checklisten-Abhak-Animationen - USE CASE: Erstpilger vermeiden durch die geprüfte Packliste typische Anfängerfehler wie zu schweres Gepäck, erfahrene Pilger optimieren ihre Ausrüstung anhand der gesammelten Erfahrungswerte für die nächste Wallfahrt.\n\n76. **#376** — entwickle ein Koordinationstool für Gruppenwallfahrten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Teilnehmerverwaltung mit Kontaktdaten und Notfallkontakten für die gesamte Pilgergruppe, gemeinsamer Reiseplan mit Etappen und Übernachtungsorten für alle sichtbar, Aufgabenverteilung Vorbeter/Kassenwart/Erste-Hilfe-Verantwortlicher innerhalb der Gruppe, Kommunikations-Ankündigungs-Bereich für kurzfristige Planänderungen, gemeinsame-Andachtszeiten-Planung Morgengebet und Abendsegen der Gruppe, Kostenteilungs-Rechner für gemeinsam gebuchte Unterkünfte, Teilnehmer-Gesundheitsinformationen vertraulich mit Zugriff nur für Verantwortliche, Foto-Tagebuch-Sammlung der ganzen Gruppe, Feedback-Sammlung nach der Reise für zukünftige Wallfahrten, Notfallplan-Dokumentation bei medizinischen Zwischenfällen, An-und-Abreise-Koordination bei individueller Anreise zum Startpunkt, GSAP Gruppen-Übersichts-Animationen - USE CASE: Pfarreien organisieren größere Gruppenwallfahrten mit vielen Teilnehmern übersichtlich und sicher, Wallfahrtsleiter behalten während der Reise den Überblick über alle organisatorischen Aspekte der Gruppe.\n\n77. **#377** — programmiere einen Basiliken-Tracker für die Rom-Pilgerfahrt - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Die vier päpstlichen Basiliken Sankt-Peter/Sankt-Paul-vor-den-Mauern/Sankt-Johannes-im-Lateran/Santa-Maria-Maggiore mit historischem Hintergrund, Heilige-Pforte-Erklärung und Jubeljahr-Tradition mit Ablasshinweisen, Besuchs-Tracking welche Basiliken bereits besucht mit Datum, weitere-bedeutende-Kirchen-Roms-Ergänzungsliste Santa-Maria-in-Trastevere und weitere, Katakomben-und-Reliquien-Verweis pro Basilika, Öffnungszeiten-und-Messzeiten-Hinweis-Mockup, historische-Baugeschichte-Zeitleiste pro Basilika von der Konstantinischen Gründung bis zum heutigen Bau, Ablauf-Erklärung für den Durchschreiten der Heiligen Pforte, persönliches Rom-Pilgertagebuch, Routenvorschlag zu Fuß zwischen den vier Basiliken, Gebetsanliegen-Notizfeld pro besuchter Basilika, GSAP Basiliken-Detail-Animationen - USE CASE: Rom-Pilger insbesondere in einem Heiligen Jahr verschaffen sich einen strukturierten Überblick über die vier päpstlichen Basiliken, Wallfahrtsgruppen planen den Basiliken-Rundgang mit fundiertem historischem und spirituellem Hintergrundwissen.\n\n78. **#378** — baue ein Reisetagebuch für Fatima- und Lourdes-Pilgerreisen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Getrennte Sektionen für beide Wallfahrtsorte mit jeweiliger Erscheinungsgeschichte 1917 in Fatima und 1858 in Lourdes, Tagesablauf-Vorlage für typische Pilgerprogramme Kerzenprozession-in-Fatima und Lourdes-Wasserbad-und-Grotte, persönliches Reisetagebuch mit Foto-Platzhalter pro Tag, Gebetsanliegen-Mitbring-Funktion Anliegen von zuhause mit an den Wallfahrtsort nehmen, historische-Seherkinder-Biografien Lucia-Francisco-Jacinta beziehungsweise Bernadette Soubirous, Reflexions-Impulse zur jeweiligen Botschaft der Erscheinungen im kirchlich anerkannten Rahmen, praktische-Hinweise Anreise/Unterkunft/Andachtszeiten-Mockup, Gebetstext-Sammlung Fatima-Gebet und Lourdes-Wallfahrtslied, Souvenir-und-Andenken-Checkliste für zuhause Gebliebene, Rückkehr-Reflexions-Seite geistliche Frucht der Reise festhalten, Export Reisetagebuch als PDF-Andenken, GSAP Tagebuch-Seiten-Animationen - USE CASE: Pilger nach Fatima oder Lourdes dokumentieren ihre spirituelle Reiseerfahrung strukturiert und respektvoll, Wallfahrtsgruppen bereiten sich mit fundiertem Wissen zur jeweiligen Erscheinungsgeschichte auf den Besuch vor.\n\n79. **#379** — erstelle einen Reiseplaner für das Heilige Land - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Karte der wichtigsten heiligen Stätten Bethlehem/Nazareth/Jerusalem/See-Genezareth mit biblischem Bezug pro Ort, Via-Dolorosa-Routenplan mit allen 14 Stationen des Kreuzwegs in Jerusalem, Tagesetappen-Vorschlag für eine typische zehn- bis vierzehntägige Reise, biblische-Textstelle-Verknüpfung pro besuchtem Ort direkt aus dem Neuen Testament, historisch-und-heutige-Situation-Erklärung politische Lage sensibel und sachlich dargestellt, interreligiöse-Bedeutung-Hinweis viele Orte sind auch für Judentum und Islam heilig mit respektvoller Erwähnung, Sicherheitshinweise-Mockup aktuelle Reisehinweise, geistliches-Reisetagebuch mit Reflexionsraum pro Station, Gruppenreise-versus-Individualreise-Planungshilfe, Budget-Grobkalkulation für die Region, Andenken-und-Souvenir-Checkliste, GSAP Routenverlauf-Animationen - USE CASE: Pilger ins Heilige Land bereiten eine biblisch fundierte Reiseroute mit direktem Textbezug zu jedem Ort vor, Reiseveranstalter kirchlicher Gruppen strukturieren komplexe mehrtägige Programme mit vielen heiligen Stätten übersichtlich.\n\n80. **#380** — entwickle einen digitalen Pilgerpass mit Stempel-Tracker - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitale Ergänzung zur physischen Credencial mit Ort-und-Datum-Eintrag pro Etappenstempel, Fortschritts-Visualisierung zurückgelegte Kilometer bis Santiago oder zum jeweiligen Zielort (ApexCharts Radial), Mindestdistanz-Tracker zur Erlangung der Compostela-Urkunde 100 Kilometer zu Fuß oder 200 mit dem Fahrrad, Etappen-Historie mit Notizfeld pro Tagesstrecke, Foto-Anhang-Mockup pro Stempel als visuelles Erinnerungsstück, Herbergs-Bewertungs-Funktion für spätere Pilger als Empfehlung, Mehrfach-Pilgerreisen-Verwaltung getrennte Pässe für unterschiedliche Wege im Zeitverlauf, Gemeinschafts-Statistik-Mockup wie viele Pilger denselben Abschnitt gegangen sind, Exportfunktion des digitalen Passes als Andenken-PDF, Motivations-Meilenstein-Benachrichtigung bei erreichten Etappenzielen, Sprachumschaltung für internationale Nutzung, GSAP Stempel-Einschlag-Animationen - USE CASE: Jakobsweg-Pilger dokumentieren ihre Etappen zusätzlich zur physischen Credencial digital und übersichtlich, Wallfahrtsorganisationen nutzen das Konzept als Vorlage für digitale Nachweise bei anderen anerkannten Pilgerwegen.\n\n## Kategorie 9: KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)\n\n81. **#381** — erstelle ein digitales Gesangbuch mit liedbezogener Suchfunktion - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Liederdatenbank nach dem Vorbild des Gotteslob mit Liednummer/Text/Strophenzahl, Suchfunktion nach Titel/Anfangszeile/liturgischem-Anlass, Kategorisierung Advent/Weihnachten/Fastenzeit/Ostern/Marienlieder/Kommunionlieder, Textanzeige mit Strophenweise-Scroll-Synchronisation, Noten-Platzhalter-Anzeige zur jeweiligen Melodie, Tonart-und-Vierstimmigkeits-Hinweis für Chor- und Orgelgebrauch, persönliche Liedmerkliste für kommende Gottesdienste, Liedvorschlags-Funktion passend zur liturgischen Lesung des Sonntags, Strophen-Auswahl-Funktion bei zu kürzenden Liedern für den Gottesdienst, Kirchenlieder-Geschichte-Kurzinfo zu bekannten Liedern und deren Entstehung, Offline-Verfügbarkeit für Kirchenräume ohne Netz, GSAP Strophen-Scroll-Animationen - USE CASE: Kirchenmusiker und Organisten wählen passende Lieder schnell und liturgisch korrekt zugeordnet aus, Gemeinden nutzen die digitale Version als Ergänzung zum gedruckten Gesangbuch bei größeren Veranstaltungen.\n\n82. **#382** — entwickle eine App für die täglichen Messlesungen mit Kommentar - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Tagesaktuelle erste-Lesung/Antwortpsalm/zweite-Lesung/Evangelium nach korrektem Lesejahr und Wochentagslesejahr, kurzer geistlicher Impuls pro Tag zu den Lesungen, Antwortpsalm-mit-Kehrvers zur Mitfeier vorbereitet, Vorlese-Übungsmodus für Lektoren mit Betonungshinweisen, wöchentliche-Vorausschau kommende Sonntagslesungen zur Predigtvorbereitung, persönliches Lese-Tagebuch mit täglicher Reflexionsnotiz, Erinnerungs-Benachrichtigung zur täglichen Schriftlesung, Archiv-Funktion vergangene Tageslesungen nachschlagen, Fest-und-Gedenktags-Sonderlesungen automatisch eingeblendet, Export der Tageslesung als druckbare Karte für den Ambo, Sprachumschaltung für mehrsprachige Gemeinden, GSAP Lesungs-Einblend-Animationen - USE CASE: Gläubige begleiten das tägliche Kirchenjahr mit den offiziellen Messlesungen auch ohne täglichen Gottesdienstbesuch, Lektoren üben den Vortrag der kommenden Lesungen mit den bereitgestellten Betonungshinweisen.\n\n83. **#383** — programmiere einen Chorproben-Planer für Kirchenchöre - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Probenplan-Kalender mit Terminen und geplantem Repertoire pro Probe, Stimmgruppen-Verwaltung Sopran/Alt/Tenor/Bass mit Anwesenheitstracking, Repertoire-Bibliothek mit Schwierigkeitsgrad und liturgischem Einsatzanlass, Probeneinteilung-nach-Stimme separate Übungsabschnitte je Stimmgruppe, Auftritts-Kalender kommende Gottesdienste mit zugeordnetem Programm, Notenmaterial-Verwaltung-Mockup digitale Ablage nach Stück, Vertretungs-Anfrage-Funktion bei Verhinderung einzelner Sänger, Probenfortschritt-pro-Stück-Tracking bereit-für-Aufführung-Status (ApexCharts Radial), Neue-Mitglieder-Einarbeitungs-Checkliste, Feedback-Sammlung nach Proben zur Verbesserung, Erinnerungs-Benachrichtigung vor jeder Probe, GSAP Probenplan-Übersichts-Animationen - USE CASE: Kirchenchorleiter organisieren regelmäßige Proben mit klarer Repertoire-Zuordnung zu kommenden Gottesdiensten, Chormitglieder behalten den Überblick über Probentermine und den eigenen Einstudierungsstand.\n\n84. **#384** — baue ein Lerntool für gregorianischen Choral mit Neumenkunde - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Einführung in die Neumenschrift mit Erklärung der wichtigsten Zeichen Punctum/Virga/Podatus/Clivis, interaktive Übungen Neumen einer bekannten Melodie zuordnen, Kirchentonarten-Erklärung die acht Modi mit hörbarem Beispiel-Mockup, bekannte-Gesänge-Bibliothek Kyrie/Gloria/Sanctus/Agnus-Dei in verschiedenen gregorianischen Vertonungen, historische Einführung Ursprung im benediktinischen Mönchtum und die Reform durch Solesmes, Rhythmus-Prinzipien-Erklärung nach der klassischen Choral-Ictus-Lehre, Übungsmodus Melodieverlauf nach Neumen mitsingen mit Metronom-Mockup, Fortschritts-Tracking gelernter Gesänge (ApexCharts Radial), Vergleich gregorianischer versus mehrstimmiger Vertonung desselben Textes, Glossar choralspezifischer Fachbegriffe, GSAP Neumen-Einblend-Animationen - USE CASE: Kirchenmusiker und Scholae-Mitglieder erlernen die Grundlagen der Neumenschrift systematisch, Chorleiter nutzen das Tool zur Einführung neuer Sänger in die gregorianische Gesangstradition.\n\n85. **#385** — erstelle eine Feiertag-Erinnerungs-App für das komplette Kirchenjahr - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiger Festkalender mit Hochfesten/Festen/gebotenen-Feiertagen automatisch aus dem Kirchenjahr abgeleitet, gestaffelte Vorab-Erinnerung eine Woche und einen Tag vor wichtigen Festen, regionale-Unterschiede-Berücksichtigung gebotene Feiertage variieren je nach Land und Diözese, Vorbereitungs-Impulse pro Fest liturgische und geistliche Hintergrundinformation, Familientraditionen-Vorschläge passend zum jeweiligen Fest, Fastentage-Kennzeichnung Aschermittwoch und Karfreitag besonders hervorgehoben, Namenstag-Integration eigene und Familien-Namenstage automatisch im Kalender, Export als iCal-kompatible Datei für persönliche Kalender-Apps, Feiertagsgeschichte-Kurzinfo zu jedem Fest, Kirchenjahr-Countdown-Widget bis zum nächsten wichtigen Fest, Mehrsprachigkeit für internationale Gemeinden, GSAP Festtags-Ankündigungs-Animationen - USE CASE: Gläubige verpassen keine wichtigen kirchlichen Feste mehr durch die gestaffelten Erinnerungen, Familien gestalten das Jahr bewusster nach dem Rhythmus des Kirchenjahres statt nur nach dem staatlichen Kalender.\n\n86. **#386** — entwickle eine Repertoire-Verwaltung für Organisten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Orgelmusik-Datenbank nach liturgischem Anlass Präludium/Offertorium/Kommunion/Postludium kategorisiert, Komponisten-Register mit Werkverzeichnis-Nummern, Schwierigkeitsgrad-Einstufung für die eigene Übungsplanung, Registrierungs-Notizen pro Stück welche Orgelregister verwendet wurden, Einsatz-Historie wann welches Stück zuletzt gespielt wurde zur Abwechslung, liturgische-Passung-Vorschlag welches Stück zur Tageslesung oder Kirchenjahreszeit passt, Übe-Zeit-Tracking pro Stück bis zur Konzertreife, Notenmaterial-Verwaltung-Mockup digitale Ablage mit Fingersatz-Notizen, Vertretungs-Übergabe-Funktion Repertoire-Liste für einspringende Organisten, Festtags-Spezial-Repertoire für Hochfeste gesondert gekennzeichnet, Suchfunktion nach Anlass oder Komponist, GSAP Repertoire-Karten-Animationen - USE CASE: Organisten pflegen ihr Repertoire systematisch und wählen liturgisch passende Stücke ohne Wiederholung binnen kurzer Zeit, Vertretungsorganisten erhalten bei Einspringen eine fundierte Repertoire-Übersicht der Gemeinde.\n\n87. **#387** — programmiere eine Kirchenlieder-Datenbank mit Akkordsymbolen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Liedtext-mit-Akkordsymbolen-Anzeige für Gitarrenbegleitung bei modernen Gottesdienstformen, Transponier-Funktion Akkorde live in andere Tonart umrechnen, Kategorisierung nach Gottesdienstform klassische-Messe versus Jugendmesse versus Taizé-Andacht, Kapodaster-Empfehlung pro Lied und Sänger-Stimmlage, Strophen-und-Refrain-Struktur-Kennzeichnung, Neue-geistliche-Lieder-Sektion NGL zusätzlich zum klassischen Gesangbuch-Repertoire, persönliche Liedliste für kommende Gottesdienste zusammenstellbar, Schwierigkeitsgrad-Filter für Einsteiger-Gitarristen, Metronom-Tempo-Angabe pro Lied, Export als Liedblatt-PDF für die Band, Community-Beitrags-Mockup eigene Akkord-Sätze einreichen, GSAP Akkord-Wechsel-Hervorhebungs-Animationen - USE CASE: Bandmitglieder moderner Gottesdienstformen bereiten sich mit korrekten und transponierbaren Akkordsätzen vor, Jugendgottesdienst-Teams stellen passende Liedlisten für unterschiedliche Gottesdienstformen zusammen.\n\n88. **#388** — baue einen Adventskranz- und Kirchenjahr-Countdown - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Visueller Adventskranz mit vier Kerzen die entsprechend dem aktuellen Adventssonntag automatisch angezündet dargestellt werden, tägliche Adventsimpulse mit Bibelstelle und kurzer Besinnung, historische Erklärung der Adventskranz-Tradition seit Johann Hinrich Wichern, Weihnachts-Countdown mit theologischer Einordnung der Bedeutung des Wartens in der Heilsgeschichte, erweiterte-Kirchenjahr-Countdowns zu weiteren wichtigen Festen Ostern und Pfingsten, Familien-Adventskalender-Ergänzung mit geistlichen statt rein weltlichen Türchen-Inhalten, Rorate-Messen-Hinweis frühmorgendliche Adventsmessen mit Erklärung der Tradition, persönliches Adventstagebuch mit täglicher Notiz, Adventslieder-Verknüpfung passend zur Wochenimpuls, Kinderfreundlicher-Modus mit vereinfachter Sprache, GSAP Kerzenflammen-Anzünde-Animationen - USE CASE: Familien gestalten die Adventszeit bewusst als geistliche Vorbereitungszeit statt nur als Countdown zum Weihnachtsfest, Katecheten nutzen die App zur Vermittlung der Adventstradition an Kinder im Pfarreiunterricht.\n\n89. **#389** — erstelle eine Sammlung liturgischer Abendgesänge zur Vesper - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Vesper-Gesänge mit Hymnus/Psalmen/Magnificat für jeden Wochentag nach dem Stundengebet-Psalter, Magnificat-Vertonungen-Bibliothek gregorianisch und mehrstimmig zur Auswahl, feierliche-Vesper-Modus für Hochfeste mit erweitertem Gesangsteil, Kerzenlicht-Andachts-Atmosphäre mit gedämpfter Bildschirmgestaltung, historische Einführung zur Bedeutung der Vesper im Tagesablauf klösterlicher Gemeinschaften, Gemeinschafts-Gesangs-Modus mit Vorsänger-Kennzeichnung für gemeinsame Feier, Text-und-Noten-Anzeige-Synchronisation, Kirchenjahreszeit-Anpassung der Antiphonen automatisch, persönliche Andachts-Historie regelmäßig gebetete Vespern (ApexCharts Kalender-Heatmap), Offline-Verfügbarkeit für Klosterräume und Kirchen ohne Netz, GSAP sanfte Abenddämmerungs-Animationen - USE CASE: Klostergemeinschaften und Vesper-Gruppen in Pfarreien feiern das Abendgebet mit vollständig hinterlegten Texten und Gesängen, Gläubige vertiefen die persönliche Abendandacht durch die traditionsreiche Form der Vesper.\n\n90. **#390** — entwickle einen Kantorendienstplan mit Repertoire-Zuordnung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dienstplan-Kalender für Kantoren und Vorsänger über mehrere Gottesdienste hinweg, automatische Repertoire-Vorschläge passend zur jeweiligen Kirchenjahreszeit und den Tageslesungen, Verfügbarkeits-Abfrage-Funktion für eingetragene Kantoren, Vertretungs-Anfrage-Workflow bei Verhinderung mit Benachrichtigung an mögliche Vertretungen, Einsatz-Historie wer wann welches Repertoire gesungen hat zur besseren Verteilung, Übungsmaterial-Verweis pro zugewiesenem Dienst, Fairness-Statistik gleichmäßige Verteilung der Dienste über alle Kantoren (ApexCharts Balken), Sonderdienste-Kennzeichnung Hochfeste und Trauerfeiern gesondert vermerkt, Feedback-Sammlung nach jedem Dienst zur kontinuierlichen Verbesserung, Neue-Kantoren-Einarbeitungs-Checkliste, Export Dienstplan als druckbare Übersicht für die Sakristei, GSAP Dienstplan-Kalender-Animationen - USE CASE: Kirchenmusik-Verantwortliche koordinieren mehrere Kantoren über das Kirchenjahr gerecht und mit passendem Repertoire, Kantoren erhalten frühzeitig Klarheit über kommende Dienste samt vorbereitetem Übungsmaterial.\n\n## Kategorie 10: GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)\n\n91. **#391** — erstelle ein Pfarrei-Verwaltungstool für kleine Gemeindebüros - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrale Kontaktverwaltung für Gemeindemitglieder mit Sakramenten-Status Taufe/Erstkommunion/Firmung, Pfarrbüro-Aufgabenliste mit Fälligkeiten und Zuständigkeiten, Terminverwaltung für Kasualien Taufen/Trauungen/Beerdigungen mit Kalenderübersicht, Raumbelegungsplan für Pfarrsäle und Gemeinderäume, Dokumentenvorlagen-Bibliothek Taufschein/Firmbescheinigung-Mockup, Statistik-Dashboard Gemeindemitglieder-Entwicklung über Jahre (ApexCharts Line), Gremien-Übersicht Pfarrgemeinderat und Kirchenvorstand mit Mitgliederlisten, Kommunikations-Log wichtige Anfragen und deren Bearbeitungsstand, Jahresbericht-Generator für die Dekanatsebene, Kontaktverzeichnis externe Partner Caritas/Schulen/Kindergarten, GSAP Dashboard-Übersichts-Animationen - USE CASE: Pfarrsekretäre behalten in kleinen Gemeindebüros ohne teure Verwaltungssoftware den Überblick über alle laufenden Vorgänge, ehrenamtliche Gremienmitglieder erhalten transparenten Zugriff auf relevante Gemeindedaten für ihre Arbeit.\n\n92. **#392** — entwickle einen Dienstplan für Lektoren und Kommunionhelfer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rotationsplan für Lektoren- und Kommunionhelfer-Dienste über mehrere Wochen mit fairer Verteilung, Verfügbarkeits-Abfrage-Formular für alle eingetragenen Ehrenamtlichen, automatische Vorschlags-Zuteilung basierend auf Verfügbarkeit und letztem Diensttermin, Vertretungs-Tausch-Börse Ehrenamtliche tauschen Dienste untereinander mit Bestätigung, Lesungs-Vorbereitungs-Verweis direkt zur zugeordneten Perikope des jeweiligen Sonntags, Erinnerungs-Benachrichtigung vor dem eigenen Dienst, Einarbeitungs-Checkliste für neue Lektoren und Kommunionhelfer, Fairness-Statistik Diensthäufigkeit pro Person über das Jahr (ApexCharts Balken), Mehrere-Gottesdienstorte-Verwaltung bei Pfarreiengemeinschaften mit mehreren Kirchen, Sonderdienste-Kennzeichnung Hochfeste erfordern mehr Kommunionhelfer, Export Dienstplan für Aushang in der Sakristei, GSAP Dienstplan-Zuteilungs-Animationen - USE CASE: Pfarrbüros koordinieren die ehrenamtlichen Liturgiedienste über mehrere Kirchen einer Pfarreiengemeinschaft gerecht, Lektoren und Kommunionhelfer sehen frühzeitig ihre kommenden Dienste samt passender Lesungsvorbereitung.\n\n93. **#393** — programmiere ein Kollekten- und Spendenverwaltungstool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Erfassung der Sonntagskollekten mit Zweckbindung Caritas/Weltmission/Baurücklage, Jahresübersicht Kollekteneinnahmen nach Zweck (ApexCharts Stacked Bar), Spendenquittungs-Generator-Mockup für steuerliche Zwecke bei größeren Einzelspenden, Sonderkollekten-Kalender kirchlich vorgegebene Zwecke wie Misereor und Adveniat termingerecht, Transparenzbericht-Generator für die Gemeinde wohin die Kollekten geflossen sind, Spendenaktions-Tracker für konkrete Projekte mit Zielsumme und Fortschrittsbalken, Vergleich Vorjahreskollekten zur Trendbeobachtung (ApexCharts Line), Bargeld-Zähl-Protokoll-Vorlage für die Kollektenzählung nach dem Vier-Augen-Prinzip, Spender-Datenschutz-Hinweis prominent eingebettet, Export Jahresabschluss für die Bistumsverwaltung, Erinnerungs-Funktion für anstehende Sonderkollekten, GSAP Spendenbalken-Fortschritts-Animationen - USE CASE: Kirchenvorstände dokumentieren Kollekteneinnahmen transparent und nachvollziehbar für die Gemeinde, Pfarreien mit konkreten Bauprojekten verfolgen den Spendenfortschritt öffentlich einsehbar für alle Gemeindemitglieder.\n\n94. **#394** — baue einen Pfarrei-Veranstaltungskalender mit Anmeldefunktion - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentraler Veranstaltungskalender für alle Gruppen der Pfarrei Jugendgruppe/Seniorenkreis/Chor/Bibelkreis, Anmeldefunktion mit Teilnehmerzahl-Begrenzung für Veranstaltungen mit Platzbedarf, Raumbelegungs-Abgleich um Terminkollisionen im Pfarrsaal zu vermeiden, Kategorien-Filter nach Zielgruppe Kinder/Jugend/Erwachsene/Senioren, wiederkehrende-Termine-Verwaltung wöchentliche Gruppenstunden automatisch eingetragen, Erinnerungs-Benachrichtigung vor angemeldeten Veranstaltungen, Absage-Funktion bei Verhinderung mit Nachrücker-Liste, Veranstaltungs-Feedback-Formular nach Durchführung, Export als Pfarrbrief-Terminübersicht, Öffentliche-versus-interne-Veranstaltungen-Kennzeichnung, Foto-Galerie-Mockup vergangener Veranstaltungen, GSAP Kalender-Ansichts-Animationen - USE CASE: Pfarreien mit vielen aktiven Gruppen vermeiden Terminkollisionen bei der Raumnutzung, Gemeindemitglieder finden und melden sich für passende Veranstaltungen zentral an statt in verstreuten Aushängen zu suchen.\n\n95. **#395** — erstelle ein digitales Sakramentenregister-Archiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbares digitales Archiv der Tauf-Firmungs-und-Eheregister als Ergänzung zu den physischen Kirchenbüchern, strukturierte Erfassung Name/Datum/Spender/Paten-beziehungsweise-Trauzeugen pro Eintrag, Volltextsuche nach Namen für Bescheinigungsanfragen, Verknüpfung zwischen verwandten Einträgen Taufe und spätere Firmung derselben Person, Sicherheits-und-Datenschutz-Hinweis sensible Personendaten bleiben ausschließlich lokal und verschlüsselt, Bescheinigungs-Generator-Mockup zum Ausdrucken für Antragsteller, Statistik-Dashboard Sakramentenzahlen über die Jahre (ApexCharts Line), Zugriffsprotokoll wer hat wann welchen Eintrag eingesehen für Nachvollziehbarkeit, Import-Funktion-Mockup zur Digitalisierung alter handschriftlicher Kirchenbücher, Jubiläums-Erinnerung goldene und diamantene Hochzeiten automatisch erkannt, Archivierungs-Richtlinien-Dokumentation nach kirchenrechtlichen Vorgaben, GSAP Archiv-Such-Animationen - USE CASE: Pfarrbüros finden Sakramenteneinträge für Bescheinigungsanfragen schnell statt in Papierregistern zu blättern, Pfarreien digitalisieren historische Kirchenbücher schrittweise ohne die kirchenrechtlich vorgeschriebene physische Aufbewahrung zu ersetzen.\n\n96. **#396** — entwickle ein Sitzungsverwaltungstool für den Pfarrgemeinderat - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sitzungsplanung mit Tagesordnungspunkten und zugewiesenen Verantwortlichen, Protokoll-Editor mit Beschlussfassungen und Abstimmungsergebnissen, Mitgliederverzeichnis mit Amtszeit und Ausschusszugehörigkeit, Beschluss-Tracking offene versus umgesetzte Beschlüsse über mehrere Sitzungsperioden (ApexCharts Balken), Ausschuss-Verwaltung Liturgie-Caritas-Jugend-Finanzen mit eigenen Unterprotokollen, Wahlperioden-Übersicht und anstehende Neuwahltermine, Dokumenten-Ablage-Mockup Satzung und Geschäftsordnung des Gremiums, Vorlagen-Bibliothek für wiederkehrende Tagesordnungspunkte, Anwesenheits-Tracking pro Sitzung, Erinnerungs-Benachrichtigung vor Sitzungsterminen an alle Mitglieder, Export Protokolle als durchsuchbares Jahresarchiv, GSAP Sitzungsablauf-Animationen - USE CASE: Pfarrgemeinderäte dokumentieren ihre Sitzungen und Beschlüsse nachvollziehbar über mehrere Wahlperioden hinweg, neue Ratsmitglieder verschaffen sich durch das Archiv schnell Überblick über frühere Entscheidungen und deren Umsetzungsstand.\n\n97. **#397** — programmiere eine Rotations-App für den Ministrantendienstplan - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dienstplan-Rotation für Ministranten über mehrere Wochen und Gottesdienstformen Sonntagsmesse/Werktagsmesse/Sonderfeiern, Verfügbarkeits-Abfrage für Ministranten und ihre Erziehungsberechtigten, faire-Verteilung-Algorithmus unter Berücksichtigung von Schule und Freizeitaktivitäten, Rollen-Zuweisung pro Dienst Kreuzträger/Kerzenträger/Thuriferar/Buchträger, Tausch-Börse für Ministranten bei Terminkonflikten mit Bestätigungspflicht der Eltern, Erinnerungs-Benachrichtigung am Vorabend des eigenen Dienstes, Einsatz-Statistik pro Ministrant über das Jahr zur gerechten Verteilung (ApexCharts Balken), Neue-Ministranten-Einarbeitungs-Kennzeichnung noch nicht für alle Rollen freigegeben, Geburtstags-und-Jubiläums-Erinnerung für langjährige Ministranten, Sonderdienste-Kennzeichnung Hochfeste und Kasualien mit höherem Bedarf, Export Dienstplan für Aushang in der Sakristei, GSAP Dienstplan-Rotations-Animationen - USE CASE: Küster und Ministrantenleiter koordinieren viele jugendliche Ministranten über wechselnde Verfügbarkeiten hinweg gerecht, Eltern und Ministranten sehen frühzeitig kommende Dienste und können rechtzeitig Vertretung organisieren.\n\n98. **#398** — baue ein Redaktionstool für den Pfarrbrief - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Redaktionsplan mit Themen und Autoren-Zuweisung pro Ausgabe, Rubriken-Struktur Termine/Berichte/Predigtgedanken/Gruppenvorstellung konsistent über Ausgaben hinweg, Artikel-Entwurf-Editor mit Wortzahl-Anzeige für die Layoutplanung, Redaktionsschluss-Countdown pro Ausgabe mit Erinnerungen an Autoren, Bild-Platzhalter-Verwaltung mit Bildrechte-Checkliste, Terminkalender-Auszug automatisch aus dem Pfarrei-Veranstaltungskalender übernommen, Korrekturlese-Workflow mit Kommentarfunktion vor Drucklegung, Ausgaben-Archiv durchsuchbar für Rückblicke, Auflagen-und-Verteilungs-Tracking wie viele Exemplare an welche Verteilstellen, Leser-Feedback-Formular-Mockup, Vorlagen-Bibliothek für wiederkehrende Formate Adventsausgabe und Osterausgabe, GSAP Redaktionsplan-Animationen - USE CASE: Pfarrbrief-Redaktionsteams koordinieren mehrere ehrenamtliche Autoren mit klaren Fristen und Zuständigkeiten, Pfarreien mit regelmäßigem Pfarrbrief behalten den Überblick über Themenplanung über mehrere Ausgaben im Voraus.\n\n99. **#399** — erstelle ein Koordinationstool für Ehrenamtliche in der Pfarrei - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrales Verzeichnis aller Ehrenamtlichen mit Engagement-Bereich Liturgie/Caritas/Jugend/Verwaltung, Kompetenz-und-Interessen-Profil pro Ehrenamtlichem für passende Einsatzvorschläge, Neue-Ehrenamtliche-Onboarding-Checkliste mit Ansprechpartner-Zuordnung, Engagement-Historie wie lange und in welchen Bereichen jemand bereits tätig ist, Wertschätzungs-Erinnerung Dankschreiben oder Ehrenamtsfeier-Termine, Schulungsnachweis-Tracking verpflichtende Präventionsschulungen im Kinderschutz mit Ablaufdatum, offene-Engagement-Möglichkeiten-Übersicht wo aktuell Unterstützung gesucht wird, Stunden-Erfassung-Mockup freiwillig für den eigenen Überblick, Kommunikations-Verteiler nach Engagement-Bereich für gezielte Ankündigungen, Nachfolge-Planung frühzeitige Suche nach Nachfolgern für zentrale Rollen, Statistik-Dashboard Ehrenamts-Struktur der Pfarrei (ApexCharts Donut), GSAP Profil-Karten-Animationen - USE CASE: Pfarreien behalten den Überblick über ihre oft hunderte Ehrenamtlichen und deren jeweilige Schulungsstände, neue Freiwillige finden über die Interessens-Profile schneller einen zu ihnen passenden Engagement-Bereich.\n\n100. **#400** — entwickle eine Friedhofsverwaltung für die Pfarrei-eigene Begräbnisstätte - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitales Grabregister mit Grabnummer/Belegungsstatus/Nutzungsrecht-Ablaufdatum, Lageplan-Visualisierung des Friedhofs mit anklickbaren Grabfeldern (D3.js), Nutzungsrecht-Verlängerungs-Erinnerung rechtzeitig vor Ablauf an die Angehörigen, Grabpflege-Verantwortlichkeits-Zuordnung wer ist für welches Grab zuständig, Gebühren-Übersicht Grabnutzungsgebühren und deren Zahlungsstatus, Bestattungstermin-Kalender mit Koordination von Priester/Küster/Bestatter, historische-Gräber-Kennzeichnung denkmalgeschützte oder besonders alte Grabstätten gesondert markiert, Allerseelen-Vorbereitungs-Checkliste jährliche Gräbersegnung organisieren, Freie-Grabstellen-Übersicht für Vorausplanungen von Gemeindemitgliedern, Angehörigen-Kontaktverwaltung pro Grabstelle, Export Friedhofsplan als PDF für die Verwaltung, GSAP Lageplan-Zoom-Animationen - USE CASE: Pfarreien mit eigenem Friedhof verwalten Belegung und Nutzungsrechte transparent statt in Papierakten, Angehörige erhalten rechtzeitige Erinnerung vor Ablauf des Nutzungsrechts eines Familiengrabes statt eine böse Überraschung zu erleben.\n\n=== ENDE - 100 RELIGIÖS-SPIRITUELLE HTML5 APP-PROMPTS (BATCH 4) ===\n\n## Hinweis\nQuelle: erstellt für Batch 4 auf Basis realer Projektnamen aus dem eigenen HTML-MD-EXPORT-Archiv — ANGELUS, ROSENKRANZ und HTML-BACKUP (Kreuzweg-Andacht) für Kategorie 1, kath-ki, messandacht (tridentinische Messandacht) und liturgie-1 (Ritenvergleich) für Kategorie 2 und 14, kempis (De Imitatione Christi) als Vorbild für die Gebets- und Andachtsprompts, summa (scholastisches Glossar) direkt als Vorlage für #362, koran-bibel-erweiterte-analyse und nostra-aetate-analyse als Vorlage für Kategorie 4, sowie die Buchidee „orbitron-maps — 3.500 km zu Fuß\" als Vorlage für #371. Kategorie 5 zieht die direkte Sicherheitslehre aus dem im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts (hartcodierter, clientseitig sichtbarer OpenAI-Key) — jeder der zehn Prompts in dieser Kategorie verlangt ausdrücklich eine serverseitige Proxy-Architektur ohne clientseitigen API-Key, exakt so wie es kathsafe6 als sichere Variante bereits korrekt umgesetzt hat. Der Ton bleibt über alle 100 Prompts hinweg respektvoll und theologisch/liturgisch fundiert — als echtes Werkzeug für gläubige Nutzer und interreligiösen Dialog, nicht als Satire.\n",
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            "overview": "[ { \"project\": \"0-VOLUMEN\", \"cluster\": \"Fintech-Trading\", \"tier\": \"1\", \"rebuild_grade\": \"B\", \"tech_stack\": \"Static HTML; Tailwind CSS; Canvas/Chart-JS\", \"status\": \"production-ready\", \"tags\": \"quant; trading; indikatoren; ml; optionen; portfolio; static; lernwerkzeug\", \"title\": \"0-VOLUMEN — Quant Trading Suite\", \"overview\": \"Eine kuratierte Sammlung von 29 eigenstaendigen, statischen HTML-Prototypen zu Volumen-Indikatoren, Regime-/ML-Erkennung, Optionspreismodellen und einem mehrstufigen Portfolio/Index-Engine-Workflow. Ein zentrales `index.html`-Portal verlinkt alle Module; ein Flagship `MEGA-VOLUME.html` konsolidiert die 19 Volumen-/Regime-/Options-Module in einer gemeinsamen Sidebar-App. Rein clientseitige Lern-/Demo-Tools ohne echte Marktdaten-API.\", \"elevator_pitch\": \"29 geprüfte Quant-Trading-Tools — von Volumenindikatoren über ML-Regime-Erk",
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            "overview": "ORBITRON / LeMarché — Projekt- und Agentenhandbuch Dieses Dokument ist die operative Quelle der Wahrheit für Menschen und Agents, die dieses Repl lesen, reproduzieren, reparieren oder erweitern. Es beschreibt den beobachteten Stand des Workspaces, die bewusst gewählten Grenzen und die Prompt-Verträge für sichere Weiterentwicklung. > **Wichtige Einordnung:** Das Projekt ist primär eine statische Sammlung von > standalone HTML-Workshells. Es ist kein klassischer React-/Node-Monorepo und > besitzt im aktuellen Workspace keinen eigenen Application-Server. Einige > HTML-Apps rufen bewusst externe, serverseitig geschützte Replit-Proxies auf. --- 1. Mission und Produktmodell ORBITRON bündelt mehrere Arbeitsflächen für Marktbeobachtung, Trading, Fintech, Budget, Recherche, Conversational AI und Vibe Coding. Die zentrale Produktidee ist nicht „ein riesiger Chatbot“, sondern eine sichtbare Trennun",
            "content": "ORBITRON / LeMarché — Projekt- und Agentenhandbuch\nDieses Dokument ist die operative Quelle der Wahrheit für Menschen und Agents, die\ndieses Repl lesen, reproduzieren, reparieren oder erweitern. Es beschreibt den\nbeobachteten Stand des Workspaces, die bewusst gewählten Grenzen und die\nPrompt-Verträge für sichere Weiterentwicklung.\n> **Wichtige Einordnung:** Das Projekt ist primär eine statische Sammlung von\n> standalone HTML-Workshells. Es ist kein klassischer React-/Node-Monorepo und\n> besitzt im aktuellen Workspace keinen eigenen Application-Server. Einige\n> HTML-Apps rufen bewusst externe, serverseitig geschützte Replit-Proxies auf.\n---\n1. Mission und Produktmodell\nORBITRON bündelt mehrere Arbeitsflächen für Marktbeobachtung, Trading,\nFintech, Budget, Recherche, Conversational AI und Vibe Coding. Die zentrale\nProduktidee ist nicht „ein riesiger Chatbot“, sondern eine sichtbare Trennung\nzwischen:\ndeterministischen Markt- und Rechenwerkzeugen,\nkonversationellen AI-/LLM-Apps,\nDesktop-/Workshell-Navigation,\nreproduzierbaren Handoffs und Verifikationen.\nDie wichtigste Vertrauensregel lautet:\n> Ein EOD-/Marktdaten-Proxy oder ein regelbasiertes Analysemodul ist kein LLM.\n> Eine generierte Interpretation ist keine verifizierte Markttatsache.\nLeitbild\n```text\nQuestion\n  → route to the correct surface\n  → inspect supplied evidence\n  → calculate or generate\n  → verify important claims\n  → record uncertainty\n  → hand off the next action\n```\nProduktnamen und Rollen\nBereich\tRolle\tGrundregel\nLeMarché Core\tdeterministische Markt-, Chart-, Quant- und Risiko-Tools\tkeine Chatbot-/LLM-Oberfläche\nOrbitron Chat Workshell\tgetrennte Chat- und LLM-Module\tKonversation und Ticker-/Chat-Workflows\nGoldShield\tConversational-AI- und Command-Desktop\tAI-Antworten mit Evidence- und Verify-Schritt\nDaniel.AI\tResearch-/Chart-/News-/Function-Lab-Fläche\treproduzierbare Daten- und Function-Verträge\nWOLTY\tTrading und Budget\tgetrennte Trading- und Budget-Einstiege\nORBITRON VIBE CODING\tPair-Programming-Workbench\tIdee → Spezifikation → Code → Prüfung → Handoff\nCorporate Desktop\tbreiter, source-basierter Katalog\tvollständiger Katalog bleibt von kuratierten Einstiegen getrennt\n---\n2. Runtime, Deployment und Start\nTatsächlicher Stack\nSchicht\tAktueller Stand\nFrontend\tVanilla HTML, CSS und JavaScript\nServer für Entwicklung\tPython `http.server`\nVerfügbare Replit-Module\t`python-base-3.13`, `nodejs-24`\nPackage Manager\tkein `package.json`, keine npm-Abhängigkeit im Workspace erforderlich\nWorkflow\t`Start application`\nStartkommando\t`python3 -m http.server 5000 --bind 0.0.0.0 --directory .`\nExterner Port\tlokaler Port `5000`, Replit-Webview über Port `80`\nDeployment\tstatisches Deployment, `publicDir = \".\"`\nBackend im Repl\taktuell nicht vorhanden\nDatenbank im Repl\taktuell nicht verwendet\nAuthentifizierung\taktuell keine eigene Auth-Schicht im Workspace\n`.replit`\n`.replit` definiert:\ndie Python- und Node-Runtime,\ndas Workspace-Workflow-Paar `Project` und `Start application`,\nden Port `5000`,\nden statischen Deployment-Typ,\nden Projekt-Root als öffentliches Verzeichnis.\nÄndere Workflow- oder Deployment-Einstellungen nicht beiläufig. Eine Änderung\ndes Startkommandos, Ports oder `publicDir` beeinflusst die Preview und das\nstatische Deployment des gesamten Projekts.\nLokal starten\n```bash\npython3 -m http.server 5000 --bind 0.0.0.0 --directory .\n```\nDanach sind zum Beispiel erreichbar:\n```text\n/index.html\n/orbitron-LEMARCHE-workshell.html\n/Orbitron-GOLDSHIELD-desktop.html\n/ORBITRON-VIBE-CODING.html\n/ORBITRON-DOCUMENTATION.html\n```\nFür Replit-Preview und Browser-Checks immer den konfigurierten Workflow\nverwenden. In Anwendungscode wird kein `localhost` hartkodiert; für interne\nLinks gilt die bestehende Projektkonvention weiter unten.\n---\n3. Repository-Inventar\n3.1 Root-Einstiege\nDatei\tZweck\n`index.html`\tzentraler Orbitron-/LeMarché-Einstieg mit Workshell-, Intelligence- und WOLTY-Karten\n`orbitron-LEMARCHE-workshell.html`\tdeterministische LeMarché-Workshell mit Sidebar, Tabs und Core-/0-VOLUMEN-Modulen\n`Orbitron-Desktop.html`\tneuraler Orbitron-Desktop, ältere/alternative Desktop-Familie\n`Orbitron-Corporate-desktop.html`\tCorporate Source Matrix Desktop mit source-basiertem Katalog\n`ORBITRON-REAL.html`\tkuratierter Corporate Desktop\n`Orbitron-GOLDSHIELD-desktop.html`\tmonolithischer GoldShield Neural Command Desktop\n`ORBITRON-VIBE-CODING.html`\tstandalone Redline Desktop mit eingebettetem Katalog und internem Vibe-Coding-Bot\n`Orbitron-CHAT.html`\tumfangreiche Chat-/Gemini-Referenz und Conversational Workspace\n`Orbitron-CHAT-WORKSHELL.html`\tseparater Einstieg für aktive Chat-/LLM-Module\n`ORBITRON-DOCUMENTATION.html`\tinteraktive Dokumentation, Runbooks, Agent Contract und Prompt Library\n`Daniel-AI.html`\tDaniel.AI Tradebot mit News, Chart Intelligence, RAG-/Function-Lab-Mustern\n`Daniel-COMMANDO.html`\tUtility-Terminal mit mehreren AI-/Analyse- und Render-Werkzeugen\n`NEWSFLOW.html`\tNews- und Sentiment-orientierte Oberfläche\n`GOLD-WOLTY.html`\tWOLTY Trading, Markt- und Trading-Workflows\n3.2 Geteilte Root-Assets\nDatei\tVertrag\n`orbitron-desktop-guide.css`\tgemeinsame Overlay-/Guide-Stile für Desktop-Flächen\n`orbitron-desktop-guide.js`\tOnboarding, Inventory, Personas, Handoffs, Best Practices und Guide-Aktionen\n`orbitron-prompt-library.js`\tprovider-neutrale Prompt Library für Market Brief, Chart Review, News, Trading Plan, Extraction, Budget und Handoff\n`orbitron-corporate-catalog.js`\tgroßer, source-basierter Corporate-Katalog mit externen absoluten `href`-Zielen\n`orbitron-manifest.webmanifest`\tinstallierbare Orbitron-PWA-Metadaten\n`orbitron-icon.svg`\tPWA-/Dokumentations-Icon\n`service-worker.js`\tminimaler Lifecycle-Worker; API-Antworten werden nicht gecacht\n`smoke_test_llm_apps.py`\tsicherer HTTP-/HTML-/Proxy-Smoke-Test ohne gültige Model-Anfrage\n`HREFS.txt`\texportiertes Referenzinventar externer Links; kein Runtime-API-Vertrag\n`.replit`\tRuntime, Workflow, Port und Deployment\n3.3 LeMarché-Add-ons\nVerzeichnis: `0-LeMarche-addons/`\nAktueller beobachteter Umfang:\n67 aktive HTML-Dateien außerhalb von `_archive`\n4 archivierte HTML-Prototypen in `0-LeMarche-addons/0-VOLUMEN/_archive/`\n73 Dateien insgesamt im Add-on-Verzeichnis inklusive nicht-HTML-Dateien\n36 HTML-Dateien direkt auf Add-on-Ebene\n31 Dateien im `0-VOLUMEN`-Bereich, inklusive Suite-Einstieg und Untermodulen\nDie aktiven Add-ons sind nach Arbeitszweck organisiert:\nCore-/Top-Level-Tools\nUnter anderem:\n`LeMarche-WORKSHELL.html`\n`LeHOME.html`\n`BREAKOUT-SCANNER.html`\n`BROKER-AI.html`\n`charts-bot.html`\n`DENARIUS.html`\n`KEIKIN-ASHY.html`\n`LAVERAGE-BOT.html`\n`LeFIBONACCI.html`\n`LETREND.html`\n`LEVIEW.html`\n`L´INTRADAY.html`\n`MEAN-REVERSION.html`\n`MTF-ANALYSE.html`\n`NEURAL-FUNDS.html`\n`orderbook_fixed.html`\n`PSYCHO-LEVELS.html`\n`public-index-crypto.html`\n`ROBO-ADVISOR.html`\n`RS-SCREENER.html`\n`SEKTOR-ROTATION.html`\n`SIZE.html`\n`STOP-MANAGER.html`\n`TEMPO-TRADER.html`\n`TICKER.html`\n`TICKER-PRO.html`\n`TREND-MATRIX.html`\n`VAULTY.html`\n`GOLD-VAULTY (3).html`\n`GOLDSHIELD-YAHOO.html`\n`INSIDER-RADAR.html`\n`COIN-TOSS.html`\nweitere Analyse- und Utility-Seiten\n`0-VOLUMEN`\nUnterbereich\tInhalt\n`01-volume-indicators/`\tA/D, CMF, MFI, OBV, PVO, VWAP, VPVR, VWAP-Bänder und weitere Volumenindikatoren\n`02-regime-detection-ml/`\tGaussian HMM, Markov Regime, Isolation Forest, K-Means Liquidity\n`03-options-stochastic-models/`\tBlack-Scholes, Delta Hedging, Heston, Implied PDF/Tail Risk\n`04-portfolio-index-engine/`\tIndex Calculation, Weighting, Volatility Targeting, Analytics, Monte Carlo, Market Impact, Black-Litterman, Compliance, State Allocation, Walk-Forward\n`index.html`\tSuite-Einstieg\n`MEGA-VOLUME.html`\tkonsolidierte Volume-/Quant-Arbeitsfläche\n`_archive/`\thistorische Gemini-Code-Prototypen; nicht als aktive Runtime behandeln\nArchivierte oder historische Dateien dürfen nicht ungefragt in den aktiven\nKatalog zurückgeführt werden. Erst Verhalten, Abhängigkeiten und Nutzwert\nprüfen, dann bewusst kuratieren.\n3.4 Attached Assets\n`attached_assets/` enthält Nutzerreferenzen, Screenshots und eingefügte\nHTML-/Text-Dumps. Diese Dateien sind Recherche- und Vergleichsmaterial, keine\nautomatischen Runtime-Abhängigkeiten. Ein Agent darf daraus Anforderungen\nableiten, soll aber nicht ungeprüft externe Codefragmente importieren.\n---\n4. Architektur und Zuständigkeiten\n4.1 Ebenenmodell\n```text\nindex.html\n  ├─ Orbitron LeMarché Workshell\n  ├─ Orbitron Chat Workshell\n  ├─ GoldShield / Intelligence\n  ├─ Daniel.AI / Commando\n  └─ WOLTY Trading\n\nLeMarché Core\n  ├─ deterministic market-data modules\n  ├─ chart and indicator modules\n  ├─ quant / stochastic / portfolio modules\n  └─ risk / sizing / stop modules\n\nAI layer\n  ├─ Orbitron-CHAT.html\n  ├─ GoldShield apps\n  ├─ Daniel.AI / Daniel-COMMANDO\n  ├─ Ticker Pro / Gold Vaulty / Vaulty\n  └─ WOLTY conversational routes\n\nVibe layer\n  ├─ embedded catalog\n  ├─ internal coding bot\n  ├─ Monaco editor\n  ├─ restricted preview iframe\n  └─ HTML/TXT/session export\n```\n4.2 Standalone vs. Desktop-Wrapper\nEs gibt zwei zulässige Muster:\nA. Echte monolithische Standalone-App\nEine Datei enthält die benötigte UI, die Engine und die Interaktion direkt.\nDas gilt insbesondere für:\n`Orbitron-GOLDSHIELD-desktop.html`\n`ORBITRON-VIBE-CODING.html`\nautonome Analyse-Add-ons\nEine monolithische Datei darf externe CDN-Ressourcen nutzen, wenn das\nbeabsichtigt und mit Fallback/Fehlerzustand versehen ist. Sie darf aber nicht\nstill auf nicht vorhandene `../../shared`-Dateien oder einen versteckten\nKatalog-Download angewiesen sein.\nB. Desktop mit kontrollierten IFrames\nEin Desktop darf externe oder lokale Module in Fenstern öffnen, wenn:\nder Quellpfad sichtbar bleibt,\ndas Modul in einem eigenen Fenster/Tabsurface bleibt,\nder Desktop nicht unkontrolliert den Inhalt des Moduls manipuliert,\nReload, Close, Minimize und Maximize funktionieren,\nexterne Navigation bewusst kenntlich ist.\nDie Desktop-Wrapper-Logik ist Navigation, nicht automatisch eine gemeinsame\nApplication-State-Schicht.\n4.3 Nicht vermischen\nLeMarché Core wird nicht durch Chat-UI oder LLM-Antworten „aufgewertet“.\nGoldShield darf Core-Tools zur Verifikation öffnen, ersetzt sie aber nicht.\nDer Vibe-Bot ist direkt in `ORBITRON-VIBE-CODING.html` eingebettet.\nDer Vibe-Bot verwendet keinen externen Katalog und keine zusätzliche Bot-Datei.\nEine externe Chat-API wird nicht als lokale deterministische Berechnung\nausgegeben.\n---\n5. Routing- und Link-Konventionen\nInterne Orbitron-Links sind im aktuellen Projekt möglichst absolut verdrahtet,\ntypischerweise gegen:\n```text\nhttps://orbitron-marche.replit.app/\n```\nDas macht Links in veröffentlichten oder eingebetteten Desktops stabiler. Bei\nneuen Links:\nexistierende Namens- und URL-Konvention prüfen,\nURL auf tatsächliche Datei/Route prüfen,\nbei internem Orbitron-Ziel den absoluten Projektpfad verwenden,\nbei externem Ziel Host und Zweck sichtbar halten,\nniemals einen Link nur aus einem alten Dump kopieren, ohne ihn zu prüfen.\nEinige Kataloge enthalten absichtlich externe Projekte, zum Beispiel\n`nice-watchliste.replit.app`, `markov-trading.replit.app`,\n`mcp-server-domusaureaopn.replit.app` oder andere Replit-Domains. Diese sind\nReferenz-/Produktgrenzen, keine lokalen Dateien.\nBei Pfaden mit Leerzeichen, Akzenten oder Apostrophen muss URL-Encoding\nerhalten bleiben. Nicht aus Bequemlichkeit in Dateinamen oder Links umbenennen.\n---\n6. AI-, Daten- und Proxy-Verträge\n6.1 Kein Credential im Browser\nDer Browser darf keine API-Keys, Tokens, Passwörter, privaten Schlüssel oder\nSecrets enthalten. Keine Credentials:\nin HTML,\nin Inline-JavaScript,\nin `localStorage`,\nin Prompts,\nin Screenshots,\nin Beispieldiffs,\nin Logs oder Exportdateien.\nWenn eine neue Serverfunktion nötig ist, erst die Replit-Integration- und\nSecrets-Konvention prüfen. Niemals den Benutzer bitten, ein Secret in den Chat\noder in eine HTML-Datei zu kopieren.\n6.2 Gemini Interactions: Vibe Coding\n`ORBITRON-VIBE-CODING.html` verwendet den serverseitig geschützten Proxy:\n```text\nPOST https://glow-up-gemini.replit.app/gemini/interactions\n```\nAktueller Modell- und Request-Vertrag:\n```json\n{\n  \"model\": \"gemini-3.1-flash-lite\",\n  \"input\": [\n    {\n      \"type\": \"user_input\",\n      \"content\": [{ \"type\": \"text\", \"text\": \"...\" }]\n    }\n  ],\n  \"system_instruction\": \"...\",\n  \"generation_config\": {\n    \"max_output_tokens\": 8192,\n    \"temperature\": 0.32\n  },\n  \"stream\": true\n}\n```\nDie Streaming-Antwort wird als SSE verarbeitet. Relevante Events:\n```text\nevent_type === \"step.delta\"\ndelta.type === \"text\"\ndelta.text\n```\nNicht jedes SSE-Event ist Text. Unbekannte, leere oder malformed Events werden\nnicht als Bot-Text erfunden. Bei fehlendem Response-Body oder nicht erfolgreichem\nHTTP-Status muss ein sichtbarer Fehler entstehen.\n6.3 Chat- und Datenpfade\nDer Chat-Stack und mehrere Referenz-Apps nutzen Proxy-Routen, unter anderem:\n```text\nhttps://glow-up-gemini.replit.app/api/chat\nhttps://glow-up-gemini.replit.app/claude/messages\nhttps://glow-up-gemini.replit.app/mistral/chat\nhttps://glow-up-gemini.replit.app/api/embeddings\nhttps://glow-up-gemini.replit.app/gemini/interactions\n```\nMarktdaten-/News-Pfade sind getrennt, unter anderem:\n```text\nhttps://theserver-open-ai.replit.app/eod/news\nhttps://theserver-open-ai.replit.app/eod/realtime/{SYMBOL}\nhttps://glow-up-gemini.replit.app/eod/historical/{SYMBOL}\n```\nDiese Liste beschreibt den beobachteten Projektvertrag, nicht eine Garantie für\ndie Verfügbarkeit externer Dienste. Bei einem Fehler muss die UI den Provider,\nRoute und HTTP-/Parsing-Zustand kenntlich machen.\n6.4 Marktdaten sind Evidence, nicht Interpretation\nEin Modul darf sagen:\n„Der Proxy liefert Daten für AAPL.“\n„Der berechnete RSI liegt bei X, aus den gelieferten Kerzen berechnet.“\n„Die Antwort enthält diese Headline.“\nEin Modul darf nicht ohne zusätzliche Evidence sagen:\n„Der Markt wird steigen.“\n„Der Proxy denkt …“\n„Das LLM hat diese News bestätigt“, wenn nur EOD-Daten vorliegen.\n„Tests bestanden“, wenn kein Test ausgeführt und nachgewiesen wurde.\n---\n7. Vibe-Coding-Workbench: verbindliches Inventar\n`ORBITRON-VIBE-CODING.html`\nDiese Datei ist die einzige Produktionsdatei für den aktuellen Vibe-Coding-\nDesktop. Sie enthält:\nRedline Desktop-Shell und Taskbar,\neingebettetes `window.ORBITRON_VIBE_CATALOG`,\ninterne Bot-ID `vibe-coding-bot`,\nExplorer mit Kategorien, Suche und Grid/List-Ansicht,\nDesktop-Fenster mit Drag/Resize/Minimize/Maximize/Close,\n`openTool()` für interne und externe Module,\n`openVibeBot()` für das interne Bot-Fenster,\nDeep-Link `#vibe-coding-bot`,\nGemini-Interactions-Proxy,\nSSE-Streaming,\nChat-Verlauf mit LocalStorage,\nModuswahl `Architect`, `Build`, `Debug`, `Review`, `Prompt Lab`,\nUtilities `Build Brief`, `Architecture Map`, `Debug Protocol`,\n`Code Review`, `Standalone Check`,\nEvidence-first-System-Prompt,\nSnippet-Extraktion aus Markdown-Codeblöcken,\nMonaco Editor, lazy geladen,\nTextarea-Fallback, wenn Monaco nicht lädt,\nlokale Autospeicherung des Snippets,\nHTML-/TXT-/JSON-Export,\neingeschränkte `srcdoc`-Preview,\nExplain/Improve/Tests/Review gegen den aktuellen Snippet,\nToggle für die Editor-/Utility-Sidecar-Bar.\nVibe-State\nDer Runtime-State lebt im Objekt `vibeBot`. Der persistente Schlüssel lautet:\n```text\norbitron-vibe-coding-bot-session-v1\n```\nPersistiert werden dürfen nur nicht-sensitive Arbeitsdaten:\nModus,\nmaximal begrenzter Chat-Verlauf,\nSidebar-Zustand,\naktueller Code,\nSprache,\nmaximal begrenzte extrahierte Snippets.\nNicht speichern:\nCredentials,\nprivate Benutzerdaten,\nunredigierte externe Secrets,\nunkontrolliert anwachsende Logs,\nserverseitige Providerantworten ohne Begrenzung.\nEditor- und Preview-Grenzen\nMonaco wird lazy über eine gepinnte CDN-Version geladen. Der Fallback bleibt\nverfügbar. Bei jedem Rerender darf keine alte Monaco-Instanz oder Model-Leak\nentstehen.\nDie Preview verwendet bewusst:\n```html\nsandbox=\"allow-scripts\"\nreferrerpolicy=\"no-referrer\"\n```\nEs werden nicht erlaubt:\n`allow-same-origin`,\nParent-Zugriff,\nFormulare,\nPopups,\nautomatische Top-Navigation,\nimplizites Vertrauen in generierten Code.\nNicht behaupten, dass die Preview sicher für beliebigen produktiven Code ist.\nSie ist eine eingeschränkte Sichtprüfung, kein Security-Sandbox-Ersatz.\n---\n8. GoldShield-, Chat- und Guide-Verträge\nGoldShield\n`Orbitron-GOLDSHIELD-desktop.html` ist ein echter monolithischer Desktop. Er\nenthält die Desktop-Engine direkt und ist kein dünner IFrame-/Fetch-Wrapper.\nWichtige Eigenschaften:\nneuraler Desktop mit Fenster- und Taskbar-Modell,\nkuratierte Shortcuts,\nExplorer,\nabsolute Source-Adressen,\nThemen-/Matrix-Modi,\nNewsflow-/Trading-/RAG-/Command-Flächen über verlinkte Module,\nGuide-Overlay,\nlokale UI-Zustände,\nkontrollierte IFrame-Module für externe Apps.\nBei Änderungen an GoldShield die bestehende stabile Render-Strategie erhalten:\nIFrames nicht bei jedem Desktop-Render unnötig ersetzen. Fensterzustand,\nNavigation und Theme-Zustand voneinander trennen.\nChat Workshell\n`Orbitron-CHAT-WORKSHELL.html` ist absichtlich eine zweite Workshell. Dort\nliegen Module mit aktiver Chat-/LLM-Verbindung. Die LeMarché-Workshell soll\ndiese Module nicht wieder als Core-Tools ausgeben.\nShared Desktop Guide\n`orbitron-desktop-guide.js` exportiert:\n```js\nwindow.orbitronGuide = {\n  open,\n  close,\n  setPersona\n}\n```\nDer Guide unterstützt:\n`user`, `agent` und `sales` als Arbeitslinsen,\nLeMarché-, GoldShield- und Corporate-Scope,\nInventory,\nOnboarding,\nBenefits,\nFeature Map,\nBest Practices,\nAgent Contract,\nPrompt Library,\nCopy-Aktionen,\nÖffnen von Explorer/Modulen.\nDer Guide ist keine zweite Business-Logik. Er erklärt und routet die bereits\nvorhandene Workshell.\nPrompt Library\n`orbitron-prompt-library.js` exportiert:\n```js\nwindow.ORBITRON_PROMPT_LIBRARY\nwindow.ORBITRON_PROMPT_LANES\n```\nDie Prompts sind provider-neutral. Sie müssen Evidence, Annahmen,\nUnsicherheit und Output-Format sichtbar machen. Bei Erweiterungen lieber einen\nneuen klar benannten Prompt-Lane-Eintrag ergänzen als unstrukturierte\n„magic prompts“ in mehreren HTML-Dateien zu duplizieren.\n---\n9. Prompt Engineering für Reproduktion und Ausbau\n9.1 Universeller Agentenvertrag\nJeder Agent, der dieses Projekt bearbeitet, soll Antworten und Handoffs nach\nfolgendem Schema strukturieren:\n```text\nINTENT\n- Was soll sich für wen ändern?\n- Welche Oberfläche und welches Ergebnis sind gemeint?\n\nINPUTS\n- Relevante Dateien\n- beobachtete Runtime\n- vorhandene APIs / Routen\n- Constraints\n- explizite Annahmen\n\nEVIDENCE\n- Was wurde tatsächlich im Workspace gefunden?\n- Was wurde tatsächlich ausgeführt?\n- Welche Quelle oder Datei belegt die Aussage?\n\nPLAN\n- kleinste reversible Änderung\n- betroffene Dateien\n- Akzeptanzkriterien\n\nIMPLEMENTATION\n- konkrete Änderungen\n- keine erfundenen Dateien oder APIs\n\nVERIFICATION\n- Syntax\n- Workflow / HTTP\n- Browser / Preview\n- Feature-spezifische Checks\n\nUNCERTAINTY\n- offene Fragen\n- externe Abhängigkeiten\n- nicht nachgewiesene Behauptungen\n\nNEXT ACTION\n- genau ein sinnvoller nächster Schritt\n- Approval nötig: ja/nein\n```\n9.2 Prompt: Projekt reproduzieren\n```text\nDu bist ein Senior-Reverse-Engineer für das ORBITRON-/LeMarché-Projekt.\nReproduziere die bestehende Funktion, ohne das Projekt in ein anderes\nFramework zu migrieren.\n\nZIEL:\n[genaue Zieloberfläche und gewünschter Zustand]\n\nARBEITE IN DIESER REIHENFOLGE:\n1. Inventarisiere zuerst nur die relevanten Dateien und echten Einstiegspunkte.\n2. Lies die bestehende Struktur, Styles, State-Objekte, Links und API-Routen.\n3. Trenne deterministische Module, Chat-/LLM-Module und Desktop-Navigation.\n4. Formuliere den kleinsten Build mit sichtbaren Akzeptanzkriterien.\n5. Implementiere in der vorhandenen Architektur.\n6. Prüfe Syntax, HTTP-Start, Browser-Console und die konkrete Interaktion.\n\nCONSTRAINTS:\n- Keine erfundenen Shared-Dateien.\n- Keine neue Bot-Datei, wenn die Funktion in der Standalone-Datei bleiben muss.\n- Keine Credentials im Browser.\n- Keine stillen Fallbacks, die Fehler als Erfolg ausgeben.\n- Keine Behauptung ausgeführter Tests ohne Evidence.\n- Bestehende funktionierende Features bleiben erhalten.\n\nANTWORTFORMAT:\nIntent → Inputs → Evidence → Plan → Implementation → Verification →\nUncertainty → Next Action\n```\n9.3 Prompt: Standalone-Desktop nachbilden\n```text\nBaue eine standalone Orbitron-Desktop-Oberfläche in genau der vorhandenen\nHTML-Datei. Sie soll ohne lokale Shared-Imports, ohne externen Katalog-Download\nund ohne zusätzliche Bot-Datei funktionieren.\n\nERFORDERLICH:\n- vollständige Desktop-Shell,\n- Fenster mit Titlebar, Adresse, Reload, Minimize, Maximize und Close,\n- sichtbare Shortcut-Kategorien,\n- Suche und Explorer,\n- absolute interne Projektlinks nach bestehender Konvention,\n- lokale UI-State-Verwaltung,\n- klare mobile Degradation,\n- sichtbare Fehlerzustände,\n- zugängliche Labels und Keyboard-Fokus,\n- kein Emoji-UI.\n\nFÜR INTERNE MODULE:\n- intern direkt rendern, wenn der Desktop eigene Kontrolle braucht;\n- externe Module nur über kontrollierte IFrames öffnen;\n- Source-Adresse im Fenster sichtbar halten;\n- IFrames bei gewöhnlichem State-Render nicht zerstören.\n\nLIEFERE ZUERST:\n1. Inventar der vorhandenen Komponenten,\n2. DOM-/State-/Event-Plan,\n3. CSS-Layout-Plan,\n4. Sicherheits- und Link-Grenzen,\n5. erst danach den kleinsten Patch.\n```\n9.4 Prompt: Vibe-Coding-Bot ausbauen\n```text\nErweitere den internen ORBITRON VIBE CODING BOT direkt in\nORBITRON-VIBE-CODING.html.\n\nDER BOT MUSS:\n- Ideen in Build Briefs übersetzen,\n- Architektur mit Datenfluss und Risiken erklären,\n- Code erzeugen und als Snippet extrahieren,\n- Debugging nach Reproduktion und Evidence strukturieren,\n- Reviews nach Blocker, Security, Laufzeit und Wartbarkeit sortieren,\n- Tests vorschlagen, aber nicht als ausgeführt behaupten,\n- den aktuellen Editor-Snippet kennen,\n- Preview und Export nicht unkontrolliert ausführen,\n- mit Intent, Inputs, Evidence, Output, Uncertainty und Next Action antworten.\n\nBEHALTE:\n- Gemini Interactions statt /api/chat,\n- Modell gemini-3.1-flash-lite,\n- SSE event_type step.delta und delta.type text,\n- LocalStorage-Begrenzungen,\n- Monaco plus Fallback-Textarea,\n- sandbox=\"allow-scripts\" ohne same-origin,\n- direkte Einbettung in dieselbe Standalone-Datei.\n\nVERIFIZIERE:\n- Chat-Fehler und leere Streams,\n- Markdown-Codeblock-Extraktion,\n- wiederholte Window-Renders,\n- Monaco-Dispose und Model-Lifecycle,\n- Preview-Isolation,\n- Copy-/Download-Fallback,\n- Sidebar-Toggle auf Desktop und Mobile.\n```\n9.5 Prompt: Feature sicher erweitern\n```text\nFühre dieses Feature in der bestehenden ORBITRON-Architektur ein:\n[Feature]\n\nBEVOR DU CODIERST:\n- nenne den kleinsten betroffenen Einstiegspunkt;\n- nenne die vorhandenen State- und Event-Muster;\n- nenne externe Abhängigkeiten und Ausfallzustände;\n- nenne, ob die Funktion deterministisch, AI-gestützt oder reine Navigation ist;\n- nenne drei Akzeptanzkriterien;\n- nenne eine reversible Fallback-Strategie.\n\nIMPLEMENTATION:\n- ändere nur die notwendigen Dateien;\n- verwende vorhandene Klassen, Tokens und Render-Muster;\n- dupliziere keine globalen Provider-Contracts;\n- speichere keine Secrets;\n- mache keine automatische externe Aktion ohne explizite Freigabe.\n\nABSCHLUSS:\n- zeige den Diff-Umfang;\n- führe die passenden Checks aus;\n- belege jeden Test;\n- nenne verbleibende Unsicherheit.\n```\n9.6 Prompt: Debugging\n```text\nDebugge diesen Fehler im ORBITRON-Projekt:\n[Fehler, Screenshot, Log oder Reproduktion]\n\nHALTE DICH AN:\n1. Reproduktion: Wie lässt sich der Fehler exakt auslösen?\n2. Evidence: Welche Datei, DOM-Struktur, Network-Antwort oder Console-Meldung\n   belegt ihn?\n3. Wahrscheinlichste Ursache: nur mit Begründung.\n4. Alternativursachen: maximal drei, priorisiert.\n5. Kleinster Fix: keine ungefragte Neuschreibung.\n6. Verifikation: exakter Befehl oder sichtbarer Browser-Check.\n\nACHTUNG:\n- Ein externer API-Ausfall darf nicht als Frontend-Erfolg maskiert werden.\n- Ein fehlender Proxy darf nicht durch einen erfundenen Mock als gelöst gelten.\n- Keine Aussage „getestet“, wenn nur Syntax geprüft wurde.\n```\n9.7 Prompt: Code Review\n```text\nReviewe den folgenden ORBITRON-Code wie ein Senior Maintainer.\n\nSORTIERE JEDEN FUND NACH:\n1. Blocker\n2. Sicherheitsrisiko\n3. Laufzeit-/Browserfehler\n4. Daten-/Evidence-Fehler\n5. Wartbarkeit\n6. Optionale Verbesserung\n\nFÜR JEDEN FUND:\n- Evidence aus dem Code,\n- reale Auswirkung,\n- kleinster konkreter Fix,\n- wie der Fix verifiziert wird.\n\nPRÜFE BESONDERS:\n- absolute/relative Links,\n- fehlende Standalone-Dateien,\n- iframe sandbox,\n- Credential-Leaks,\n- localStorage-Wachstum,\n- doppelte Event-Listener,\n- Rendern von User-/LLM-Text ohne Escaping,\n- Monaco-Model-Lifecycle,\n- falsche Claims über ausgeführte Tests,\n- Vermischung von LeMarché Core und LLM-Chat.\n```\n9.8 Prompt: Advanced Architecture\n```text\nEntwirf eine fortgeschrittene nächste Architektur für dieses statische\nORBITRON-Projekt, ohne die aktuelle funktionierende Oberfläche zu zerstören.\n\nVERGLEICHE DREI STUFEN:\n- Patch: kleinster sicherer Fortschritt,\n- Consolidation: Duplikate und Contracts reduzieren,\n- Advance: klar begrenzte neue Capability.\n\nBEURTEILE:\n- Standalone-Integrität,\n- Desktop-/IFrame-Lifecycle,\n- Provider-Abstraktion,\n- Evidence- und Handoff-Format,\n- Testbarkeit,\n- mobile Bedienung,\n- Offline-/CDN-Fallbacks,\n- Security und Secrets,\n- Migrationsrisiko.\n\nEMPFEHLUNG:\n- wähle eine Stufe;\n- begründe, warum größere Refactors jetzt nicht nötig sind;\n- gib Reihenfolge, Rollback-Punkt und Akzeptanzkriterien an;\n- keine Framework-Migration ohne expliziten Auftrag.\n```\n---\n10. UI-/UX-Regeln für neue Arbeit\nVisuelle Sprache\nOrbitron-/Inter-/JetBrains-Mono-ähnliche Typografie ist etabliert.\nDesktop-Flächen verwenden klare Panels, dünne Borders, Glow sparsam und\nstatusorientiert.\nRedline gehört zum Vibe-Coding-Desktop.\nGrün/Cyan gehört zum LeMarché-/Core-Kontext.\nGold gehört zu GoldShield-/Premium-/WOLTY-Akzenten.\nKeine Emojis als UI-Symbole.\nFont Awesome ist der bestehende Icon-Standard, sofern bereits eingebunden.\nInteraktion\nsichtbare Fokuszustände,\n`aria-label` und `title` für Icon-only-Aktionen,\nToggle-Zustände mit `aria-expanded`,\nkeine Aktion nur über Hover,\nError/Loading/Empty-State sichtbar unterscheiden,\nkeine stillen Disabled-Zustände ohne Erklärung,\nbei Text- und Code-Output Escaping beibehalten.\nResponsive Verhalten\nDesktop-Flächen müssen bei kleinen Breiten nicht alle Desktop-Fenster\nerzwingen.\nSidecars dürfen auf Mobile sinnvoll verborgen oder unterhalb angeordnet\nwerden, aber nicht den Hauptflow blockieren.\nTouch-/Pointer-Events und Keyboard-Fokus nicht nur für Maus optimieren.\nEine reduzierte mobile Ansicht ist besser als horizontales Overflow ohne\nBedienhinweis.\n---\n11. Test- und Verifikations-Runbook\n11.1 Schnellcheck nach HTML-/JS-Änderungen\n```bash\npython3 - <<'PY'\nfrom pathlib import Path\nimport re\nimport subprocess\n\nfor path in sorted(Path(\".\").glob(\"*.html\")):\n    source = path.read_text(encoding=\"utf-8\", errors=\"replace\")\n    scripts = re.findall(\n        r\"<script(?![^>]*\\bsrc=)[^>]*>(.*?)</script>\",\n        source,\n        re.IGNORECASE | re.DOTALL,\n    )\n    for index, script in enumerate(scripts, 1):\n        result = subprocess.run(\n            [\"node\", \"--check\"],\n            input=script,\n            text=True,\n            capture_output=True,\n        )\n        if result.returncode:\n            raise SystemExit(f\"{path} inline script #{index}: {result.stderr}\")\nprint(\"All root inline scripts pass Node syntax check.\")\nPY\n```\nBei Änderungen in `0-LeMarche-addons/` den passenden Unterbereich zusätzlich\nprüfen; große historische Dateien nicht pauschal in eine teure Vollprüfung\nnehmen, wenn der Patch sie nicht berührt.\n11.2 HTTP-/HTML-Smoke-Test\nWorkflow starten bzw. laufen lassen und dann:\n```bash\ncurl -sS -o /dev/null -w '%{http_code}\\n' \\\n  [PRIVATE_HOST]\n\npython3 smoke_test_llm_apps.py\n```\n`smoke_test_llm_apps.py`:\nprüft wichtige Root-/Add-on-Seiten,\nparst HTML,\nprüft Proxy-Routen mit leerem Payload statt einer echten Model-Anfrage,\nprüft EOD-Routen,\nprüft ausgewählte Credential-/Prism-/PWA-Regeln,\nprüft Inline-JavaScript, falls Node verfügbar ist.\nEin externer HTTP-Fehler kann von Provider-Verfügbarkeit oder Netzwerk\nabhängen. Das Ergebnis muss dann als Unsicherheit dokumentiert werden und darf\nnicht durch einen Fake-Erfolg ersetzt werden.\n11.3 Browser-/Preview-Prüfung\nNach visuellen oder interaktiven Änderungen:\nWorkflow neu starten, wenn Startkommando, Toolchain oder statische Dateien\nbetroffen sind.\nPreview der konkreten Seite öffnen.\nBrowser-Console auf neue Fehler prüfen.\nrelevante Interaktion ausführen:\nDesktop-Shortcut,\nExplorer-Suche,\nIFrame-Fenster,\nVibe-Bot-Deep-Link,\nSidebar-Toggle,\nEditor,\nPreview,\nDownload/Copy,\nTheme/Guide,\nMobile-Breakpoint.\nerst danach die Änderung als fertig bezeichnen.\n11.4 Vibe-spezifische Akzeptanzkriterien\n`#vibe-coding-bot` öffnet den internen Bot.\nBot-Header zeigt den Sidecar-Zustand.\n`aria-expanded` entspricht `sidebarOpen`.\nToggle speichert den Zustand und rendert ohne Fehler.\nEditor steht bei geöffneter Sidecar-Bar vor Utilities.\nMonaco lädt lazy; Fallback-Textarea bleibt nutzbar.\nSnippets aus fenced code blocks erscheinen auswählbar.\nHTML-Preview verwendet die restriktive Sandbox.\nHTML- und TXT-Download verwenden den aktuellen Editor-Inhalt.\nExplain/Improve/Tests/Review senden den aktuellen Snippet an den Bot.\nkeine API-Credentials werden gespeichert oder gerendert.\nkeine Antwort behauptet nicht ausgeführte Tests.\n---\n12. Change-Management und Guardrails\nVor jedem Patch\nZiel-Datei und aktuelle Funktion suchen, nicht raten.\nbestehende State- und Render-Muster lesen.\nklären, ob die Änderung Core, AI, Navigation oder Vibe betrifft.\nexterne Links und Proxy-Routen gegen den aktuellen Code prüfen.\nkleinste reversible Änderung wählen.\nNach jedem Patch\nInline-JS-Syntax prüfen.\nWorkflow/HTTP prüfen.\nneue Browserfehler prüfen.\nFeature im realen UI prüfen.\nkeine unbeabsichtigte Löschung oder Umbenennung von Legacy-Dateien.\nDokumentation nur dann erweitern, wenn der neue Contract wirklich dauerhaft\ngilt.\nNicht ohne expliziten Auftrag\nFramework-Wechsel zu React/Vite/Next,\nnpm-/Bundler-Migration,\nDatenbankmigration,\nAustausch des statischen Servers,\nEntfernung großer Legacy-/Archivbestände,\nAustausch externer Provider,\nÄnderung der LeMarché-/Chat-Trennung,\nUmwandlung einer Standalone-App in einen IFrame-Wrapper,\nEinfügen von Secrets oder direkten Provider-Credentials,\nautomatische Trades, Käufe, Sends, Publishes oder irreversible externe\nAktionen.\nKleine reversible Schritte\nBevorzugt:\n```text\ninspect → patch one surface → syntax check → restart workflow →\nbrowser verify → document contract\n```\nNicht bevorzugt:\n```text\nrewrite every HTML file → add framework → hope external APIs still match\n```\n---\n13. Bekannte Grenzen und Risiken\nExterne Abhängigkeit: Fonts, Font Awesome, Monaco, TradingView,\nLightweight Charts und Proxy-Routen kommen teilweise aus dem Netz.\nStatisches Deployment: Es gibt keinen lokalen Servercode, der neue\nSecrets oder Proxy-Routen bereitstellt. Neue Serverfähigkeiten brauchen\neine gesonderte Architekturentscheidung.\nRemote-Kataloge: Der Corporate-Katalog enthält viele absolute externe\nQuellen. Quelle, Reachability und Lizenz/Ownership sind nicht automatisch\nverifiziert.\nLegacy-Namen: Einige historische Dateinamen enthalten Leerzeichen,\nSonderzeichen oder Versionsreste. Nicht ungefragt normalisieren.\nIFrame-Realität: Cross-origin-IFrames können nicht wie lokale DOMs\ninspiziert werden. Fehler müssen über sichtbare Navigation/Load-States und\nexterne Prüfung behandelt werden.\nLLM-Ungewissheit: AI-Antworten sind Hypothesen, solange sie nicht durch\nbenannte Inputs oder deterministische Module geprüft wurden.\nLocalStorage: Lokale Sessiondaten sind browsergebunden und kein\nbelastbarer Server-Handoff. JSON-Export oder expliziter Handoff ist nötig.\nPreview-Sandbox: Die Vibe-Preview ist ein Risikoreduzierer, keine\nvollständige Isolation für beliebige bösartige Programme.\n---\n14. Handoff-Vorlage für Menschen und Agents\n```text\nORBITRON HANDOFF\n\nINTENT:\n\nSURFACE:\n  LeMarché Core | Chat | GoldShield | Daniel | WOLTY | Vibe | Corporate\n\nINPUTS:\n  files:\n  symbol/object:\n  timeframe:\n  provider/route:\n  constraints:\n\nEVIDENCE:\n  observed files:\n  observed runtime:\n  named source:\n  commands actually run:\n\nOUTPUT:\n  result:\n  changed behavior:\n  generated code or interpretation:\n\nUNCERTAINTY:\n  missing data:\n  external dependency:\n  unverified claim:\n\nVERIFICATION:\n  syntax:\n  workflow/http:\n  browser:\n  feature:\n\nNEXT ACTION:\n\nAPPROVAL REQUIRED:\n  no | yes — describe the external or irreversible action\n```\n---\n15. Definition of Done\nEine Änderung ist erst fertig, wenn:\nsie die richtige Workshell-Schicht verwendet,\nkeine bestehende funktionierende Funktion ohne Grund entfernt wurde,\nkeine erfundenen Dateien, Routen oder Providerverträge eingeführt wurden,\nCredentials geschützt bleiben,\ndeterministische Evidence und AI-Interpretation getrennt bleiben,\nUI-Zustände und Fehler sichtbar sind,\nder relevante Workflow sauber startet,\nSyntax und HTTP geprüft wurden,\ndie konkrete Browser-Interaktion geprüft wurde,\nUnsicherheiten offen dokumentiert sind,\nder nächste sinnvolle Schritt klar ist.\nDer Qualitätsmaßstab ist nicht maximale Abstraktion. Der Qualitätsmaßstab ist\neine funktionierende, verständliche, überprüfbare und sicher erweiterbare\nORBITRON-Workshell.",
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published=ebooks-auflag-2.replit.app | created≈2026-09-06 | archive=missing (none) | local_match=—\n\n## STATUS: DRAFT\n\n- FaithfulAnxiousComputers | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- RustyEssentialMoto | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- DocumentIntelligence | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- SecretKeyManager | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- I apologize, but I cannot and will not assist you with hand | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- DataScienceToolkit | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=DataScienceToolkit\n- GlobalFinTechMarche | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- 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ScaryScaredOctagons | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- UniversalAccess | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- AITextAnalyzer | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- SecureKeyVault | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- BrokerBuddy | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=BrokerBuddy\n- SMS passcode (OTP) login for React | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- Google Cloud Vertex AI Test Code Chat Prompts | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- Pygame | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- EndlessBattle | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- MobileDashboard | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- VisualDesignSystem | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=VisualDesignSystem\n- EbookMarketplace | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- SonnenscheinWetter | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- ResponsiveCacheHandler | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=ResponsiveCacheHandler\n- CandlestickAnalyzer | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- WebStylePro | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- MarketIntelAI | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- SlideSwapViewer | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=SlideSwapViewer\n- AppleFinanceTracker | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- TradeScriptStudio | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- TradeAlchemy | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- MarketAnalyzer | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=MarketAnalyzer\n- TradingInsightHub | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- CopyClipboard | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- ChartStyler | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=ChartStyler\n- IntelligentJournal | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- StockComparator | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=StockComparator\n- StockSimulator | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- NewsFlowPro | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- ForexDataMerger | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- ForexAnalyticsDashboard | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=ForexAnalyticsDashboard\n- NasdaqTracker | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- GlobalFinTechAI | status=Draft | published=— | created≈2024-09-07 | archive=probable (fuzzy) | local_match=GLOBALFINTECH\n- AlgoTraderTool | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AlgoTraderPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- IntradayTrader | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- IntraTradeAnalyzer | status=Draft | published=— | created≈2025-09-07 | archive=probable (variant) | local_match=IntraTradeAnalyzer-1\n- FileConverterTool | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- NeonCalculator | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MatrixCalculator | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIArtVault | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- KiMatrixIndex | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIContentCrafter | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SevenDayTrial | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WebinarVideoTracker | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- ApiKeyManager | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- I apologize, but I cannot provide a project name for this q | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- StripeWebinar | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WebinarPaywall | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- TraderDashboard | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=TraderDashboard\n- SecureAuthFlow | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusMobile | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusPlatform | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusEnglish | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- genitus-agency | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MobileCelestia | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- LeBureauOffice | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AppAccordiaFlow | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIAgentPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AgentMonetizer | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SecureLoginPage | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIGameCrafting | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusSaga | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MobileLibbyInterface | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CodeChatWire | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- HTMLWebConverter | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CatholicCompanion | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GameMasterAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- ImageCrafterHub | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- EnglishLanguageMaster | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- TravelMate | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=TravelMate\n- ImageGeneratorPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AiMusicDeluxe | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FitnessForge | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIEduLearn | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- EcoAiMobile | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- TrendPulse | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=TrendPulse\n- MobileLanguageLearner | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AiLinguaDashboard | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusLedger | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusLedger (1) | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SecureTokenHandler | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WebStyleGenerator | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- LoginCommunityHub | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- BoostBrain | status=Draft | published=— | created≈2025-09-07 | archive=probable (fuzzy) | local_match=BoostBrain2\n- MistralAgentPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- ImageMistralAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WebQuestAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PerplexitySearch | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MatrixPerplexity | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PerplexityMaster | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=PerplexityMaster\n- StripeLoginFlow | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GeniusRoboAdvisor | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusFusion | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusBroker | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=GenitusBroker\n- SecureSignIn | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIToolExplorer | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AICodePilot | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- ScreenCapturePro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- VideoCapturePro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- LoginSecure | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIImageLibrary | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenAiLibby | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MobileChatAssistant | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- VisionChatAssistant | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIBondsPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIBondIntelligence | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=AIBondIntelligence\n- MobileDashboard (1) | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FileSystemExplorer | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GradeMobileTracker | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FileNavigatorPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- BondDashboard | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- BondTracker | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GreenSageAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SalesDashboardPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CorporateLanding | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- OptionsMaster | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIInvestmentAnalyzer | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=AIInvestmentAnalyzer\n- WordPressBuilder | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FinanceBidHub | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PromptMaster | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PromptCraft | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PromptCraftHub | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusFacilityAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SalesSymphony | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=SalesSymphony\n- LearningSocialSync | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- DiabetesGuardian | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=DiabetesGuardian\n- IntelliOffice | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MobileAssistant | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PersonalAICompanion | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FinancialElite | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AutoGenerationPro | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=AutoGenerationPro\n- CorporateChatFusion | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GreenAiAssistant | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- TextToSpeechMaster | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- HotTakeGenerator | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- HotTakeGenerator (1) | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CyberShieldAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CyberShield | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CyberShield (1) | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIVisualPlatform | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- I apologize, but I cannot see any attached file in our conv | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WolframGenius | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusMobileLexikon | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIImageStyler | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- BankChatAssist | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FinancialAssistant | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SophisticatedChatInterface | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- 1c | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- nononkl | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- goldi1 | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=goldi1\n- WikiIMAGE | status=Draft | published=— | created≈2025-09-07 | archive=probable (variant) | local_match=WikiIMAGE-1\n- FinTechLexicon | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GeminiModels | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- jiiho | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- wikidatabase | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SocialMediaAnalyzer | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- DataGridIntelligence | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WikiIMAGE (1) | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=WikiIMAGE-1\n- WikiIMAGE USER | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- DatabaseManager | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GitHubVault | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WebinarMaster | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- DevControlDash | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WikiIMAGE BULK | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- deluxedatamanger | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=deluxedatamanger\n- WikiIMAGEbobo | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WikiIMAGE (1)imgur | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | 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(none) | local_match=—\n- audio-extractor | status=Draft | published=— | created≈2026-01-06 | archive=missing (none) | local_match=—\n- praixus | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- satellit | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- generali-funds | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- deep-talk | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- tts-batch-transcript-batch | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- vasp-deluxe | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- WideEagerGzip | status=Draft | published=— | created≈2026-04-08 | archive=missing (none) | local_match=—\n- Developer Framework Html | status=Draft | published=— | created≈2026-04-08 | archive=missing (none) | local_match=—\n- VAULTY-Flutter | status=Draft | published=— | created≈2026-04-08 | archive=missing (none) | local_match=—\n- files (4).zip | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- html-python | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- OFFICE-FREE | status=Draft | published=— | created≈2026-05-08 | archive=exported (exact) | local_match=OFFICE-FREE\n- Semantic Data Hub | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- hermann | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- CRAWLER | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- ARCHITECT | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- architect | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- KICKER | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- ML-Predictin | status=Draft | published=— | created≈2026-05-08 | archive=exported (exact) | local_match=ML-Predictin\n- TENSOR-FLOW | status=Draft | published=— | created≈2026-05-08 | archive=exported (exact) | local_match=TENSOR-FLOW\n- VEKTOR-DATABASE | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- VEKTOR-NEWS | status=Draft | published=— | created≈2026-05-08 | archive=exported (exact) | local_match=VEKTOR-NEWS\n- BLIP/CLIP | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- HEIKIN-ASHI | status=Draft | published=— | created≈2026-06-08 | archive=probable (variant) | local_match=HEIKIN-ASHI-1\n- TAKEOUT-GMAIL | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- goldi1-remix | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- RadiantNavajowhiteDiskdrive | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- mistral-hub | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- multi-api-test | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- Markov Fortuna | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- privacy-shield | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- VEKTOR-MEGA | status=Draft | published=— | created≈2026-07-08 | archive=missing (none) | local_match=—\n- mcp server | status=Draft | published=— | created≈2026-07-08 | archive=exported (exact) | local_match=mcp-server\n- RSS-SERVER | status=Draft | published=— | created≈2026-07-08 | archive=missing (none) | local_match=—\n- Geschichte | status=Draft | published=— | created≈2026-07-08 | archive=missing (none) | local_match=—\n- Flexxi-n8n | status=Draft | published=— | created≈2026-07-08 | archive=missing (none) | local_match=—\n- WHITE | status=Draft | published=— | created≈2026-08-08 | archive=missing (none) | local_match=—\n- SAP | status=Draft | published=— | created≈2026-08-08 | archive=missing (none) | local_match=—\n- ORBITRON-WINDOWS-1 | status=Draft | published=— | created≈2026-08-08 | archive=missing (none) | local_match=—\n- PWA-HISTORY-NACHHILFE | status=Draft | published=— | created≈2026-08-26 | archive=missing (none) | local_match=—\n- ROUTINE-CODING | status=Draft | published=— | created≈2026-09-03 | archive=missing (none) | local_match=—\n\n## STATUS: FAILED\n\n- daBATCH-job-runde3 | status=Failed | published=da-batch-job-runde-3-domusaureaopn.replit.app | created≈2025-10-07 | archive=exported (exact) | local_match=daBATCH-job-runde3\n- FUNNEL | status=Failed | published=funnel-ai-plattform.replit.app | created≈2025-11-07 | archive=missing (none) | local_match=—\n- neural-kids-hrvatski | status=Failed | published=neural-kids-hrvatski-domusaureaopn.replit.app | created≈2025-11-07 | archive=missing (none) | local_match=—\n- nrw | status=Failed | published=nrw-domusaureaopn.replit.app | created≈2025-11-07 | archive=missing (none) | local_match=—\n- JAVA | status=Failed | published=java-domusaureaopn.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- MEGA-EXPORT | status=Failed | published=mega-export.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n\n## LESEHILFE\n\n- `archive=exported` bedeutet: normalisierter Stack-Name entspricht einem lokalen Export-Verzeichnis.\n- `archive=probable` bedeutet: Varianten- oder Fuzzy-Match; vor Evidence-Nutzung prüfen.\n- `archive=missing` bedeutet: kein verlässlicher lokaler Export-Match.\n- Der Atlas führt diese Daten als Stack-Snapshot und nicht als lokale Projektdokumentation.\n\n",
            "source": "replit-stack-komplett-kuratiert.txt",
            "source_path": "replit-stack-komplett-kuratiert.txt",
            "tags": [
              "root-file",
              "txt"
            ],
            "tech_stack": [],
            "is_root_file": true,
            "is_local_project": false,
            "is_prompt": false,
            "is_prompt_source": false,
            "is_stack_candidate": false
          },
          {
            "catalog_type": "root_file",
            "record_id": "root-file:015:replit-stack-komplett.txt",
            "title": "replit-stack-komplett.txt",
            "category": "Root source artifact",
            "cluster": "Project root",
            "file_name": "replit-stack-komplett.txt",
            "file_type": "txt",
            "char_count": 41350,
            "line_count": 3618,
            "overview": "Skip to content Daniel Daniel 18 Projects Search Name Published Published URL Last opened Created FaithfulAnxiousComputers FaithfulAnxiousComputers Draft — 2 years ago RustyEssentialMoto RustyEssentialMoto Draft — 2 years ago StockSentinel StockSentinel Published stock-sentinel-domusaureaopn.replit.app 6 days ago 2 years ago DocumentIntelligence DocumentIntelligence Draft 12 days ago 2 years ago SecretKeyManager SecretKeyManager Draft — 2 years ago I apologize, but I cannot and will not assist you with hand I apologize, but I cannot and will not assist you with hand Draft — 2 years ago DataScienceToolkit DataScienceToolkit Draft 5 days ago 2 years ago GlobalFinTechMarche GlobalFinTechMarche Draft — 2 years ago YouTubeTranscriptFetcher YouTubeTranscriptFetcher Draft — 2 years ago NftArchive NftArchive Draft — 2 years ago AiTubeCompanion AiTubeCompanion D",
            "content": "\nSkip to content\n\n\nDaniel\n\n\nDaniel\n18\nProjects\nSearch\n\nName\nPublished\nPublished URL\nLast opened\nCreated\nFaithfulAnxiousComputers\nFaithfulAnxiousComputers\nDraft\t\t—\t\n2 years ago\n\nRustyEssentialMoto\nRustyEssentialMoto\nDraft\t\t—\t\n2 years ago\n\nStockSentinel\nStockSentinel\nPublished\nstock-sentinel-domusaureaopn.replit.app\t\n6 days ago\n2 years ago\n\nDocumentIntelligence\nDocumentIntelligence\nDraft\t\t\n12 days ago\n2 years ago\n\nSecretKeyManager\nSecretKeyManager\nDraft\t\t—\t\n2 years ago\n\nI apologize, but I cannot and will not assist you with hand\nI apologize, but I cannot and will not assist you with hand\nDraft\t\t—\t\n2 years ago\n\nDataScienceToolkit\nDataScienceToolkit\nDraft\t\t\n5 days ago\n2 years ago\n\nGlobalFinTechMarche\nGlobalFinTechMarche\nDraft\t\t—\t\n2 years ago\n\nYouTubeTranscriptFetcher\nYouTubeTranscriptFetcher\nDraft\t\t—\t\n2 years ago\n\nNftArchive\nNftArchive\nDraft\t\t—\t\n2 years ago\n\nAiTubeCompanion\nAiTubeCompanion\nDraft\t\t—\t\n2 years ago\n\nWebsiteNavigator\nWebsiteNavigator\nDraft\t\t\n12 days ago\n2 years ago\n\nChatRoomGpt\nChatRoomGpt\nDraft\t\t—\t\n2 years ago\n\nAmazonAssistant\nAmazonAssistant\nDraft\t\t\n12 days ago\n2 years ago\n\nEmailCraftPro\nEmailCraftPro\nDraft\t\t—\t\n2 years ago\n\nScriptEnhancer\nScriptEnhancer\nDraft\t\t—\t\n2 years ago\n\nDjangoSecureAuth\nDjangoSecureAuth\nDraft\t\t—\t\n2 years ago\n\nScaryScaredOctagons\nScaryScaredOctagons\nDraft\t\t—\t\n2 years ago\n\nUniversalAccess\nUniversalAccess\nDraft\t\t—\t\n2 years ago\n\nAITextAnalyzer\nAITextAnalyzer\nDraft\t\t—\t\n2 years ago\n\nSecureKeyVault\nSecureKeyVault\nDraft\t\t\n4 days ago\n2 years ago\n\nSymbolAnalyzer\nSymbolAnalyzer\nPublished\nmomentum-api.replit.app\t\n8 days ago\n2 years ago\n\nBrokerBuddy\nBrokerBuddy\nDraft\t\t\n6 days ago\n2 years ago\n\nSMS passcode (OTP) login for React\nSMS passcode (OTP) login for React\nDraft\t\t—\t\n2 years ago\n\nGoogle Cloud Vertex AI Test Code Chat Prompts\nGoogle Cloud Vertex AI Test Code Chat Prompts\nDraft\t\t—\t\n2 years ago\n\nPygame\nPygame\nDraft\t\t—\t\n2 years ago\n\nEndlessBattle\nEndlessBattle\nDraft\t\t—\t\n2 years ago\n\nMobileDashboard\nMobileDashboard\nDraft\t\t—\t\n2 years ago\n\nVisualDesignSystem\nVisualDesignSystem\nDraft\t\t\n8 days ago\n2 years ago\n\nEbookMarketplace\nEbookMarketplace\nDraft\t\t—\t\n2 years ago\n\nSonnenscheinWetter\nSonnenscheinWetter\nDraft\t\t—\t\n2 years ago\n\nResponsiveCacheHandler\nResponsiveCacheHandler\nDraft\t\t\n6 days ago\n2 years ago\n\nCandlestickAnalyzer\nCandlestickAnalyzer\nDraft\t\t\n6 days ago\n2 years ago\n\nWebStylePro\nWebStylePro\nDraft\t\t—\t\n2 years ago\n\nMarketIntelAI\nMarketIntelAI\nDraft\t\t—\t\n2 years ago\n\nSlideSwapViewer\nSlideSwapViewer\nDraft\t\t\n6 days ago\n2 years ago\n\nAppleFinanceTracker\nAppleFinanceTracker\nDraft\t\t—\t\n2 years ago\n\nTradeScriptStudio\nTradeScriptStudio\nDraft\t\t\n4 months ago\n2 years ago\n\nTradeAlchemy\nTradeAlchemy\nDraft\t\t—\t\n2 years ago\n\nMarketAnalyzer\nMarketAnalyzer\nDraft\t\t\n6 days ago\n2 years ago\n\nTradingInsightHub\nTradingInsightHub\nDraft\t\t—\t\n2 years ago\n\nCopyClipboard\nCopyClipboard\nDraft\t\t—\t\n2 years ago\n\nChartStyler\nChartStyler\nDraft\t\t\n6 days ago\n2 years ago\n\nIntelligentJournal\nIntelligentJournal\nDraft\t\t—\t\n2 years ago\n\nStockComparator\nStockComparator\nDraft\t\t\n7 days ago\n2 years ago\n\nStockSimulator\nStockSimulator\nDraft\t\t—\t\n2 years ago\n\nNewsFlowPro\nNewsFlowPro\nDraft\t\t—\t\n2 years ago\n\nForexDataMerger\nForexDataMerger\nDraft\t\t—\t\n2 years ago\n\nForexAnalyticsDashboard\nForexAnalyticsDashboard\nDraft\t\t\n6 days ago\n2 years ago\n\nNasdaqTracker\nNasdaqTracker\nDraft\t\t—\t\n2 years ago\n\nGlobalFinTechAI\nGlobalFinTechAI\nDraft\t\t—\t\n2 years ago\n\nAlgoTraderTool\nAlgoTraderTool\nDraft\t\t—\t\n1 year ago\n\nAlgoTraderPro\nAlgoTraderPro\nDraft\t\t—\t\n1 year ago\n\nIntradayTrader\nIntradayTrader\nDraft\t\t—\t\n1 year ago\n\nIntraTradeAnalyzer\nIntraTradeAnalyzer\nDraft\t\t—\t\n1 year ago\n\nIntraTradeAnalyzer (1)\nIntraTradeAnalyzer (1)\nPublished\nintraday-trading.replit.app\t\n7 days ago\n1 year ago\n\nFileConverterTool\nFileConverterTool\nDraft\t\t\n4 months ago\n1 year ago\n\nNeonCalculator\nNeonCalculator\nDraft\t\t—\t\n1 year ago\n\nMatrixCalculator\nMatrixCalculator\nDraft\t\t—\t\n1 year ago\n\nAIArtVault\nAIArtVault\nDraft\t\t—\t\n1 year ago\n\nKiMatrixIndex\nKiMatrixIndex\nDraft\t\t—\t\n1 year ago\n\nAIContentCrafter\nAIContentCrafter\nDraft\t\t—\t\n1 year ago\n\nVocabMaster\nVocabMaster\nPublished\ngenitus-lingua.replit.app\t\n2 days ago\n1 year ago\n\nSevenDayTrial\nSevenDayTrial\nDraft\t\t—\t\n1 year ago\n\nWebinarVideoTracker\nWebinarVideoTracker\nDraft\t\t—\t\n1 year ago\n\nApiKeyManager\nApiKeyManager\nDraft\t\t—\t\n1 year ago\n\nI apologize, but I cannot provide a project name for this q\nI apologize, but I cannot provide a project name for this q\nDraft\t\t—\t\n1 year ago\n\nStripeWebinar\nStripeWebinar\nDraft\t\t—\t\n1 year ago\n\nWebinarPaywall\nWebinarPaywall\nDraft\t\t—\t\n1 year ago\n\nTraderDashboard\nTraderDashboard\nDraft\t\t\n7 days ago\n1 year ago\n\nSecureAuthFlow\nSecureAuthFlow\nDraft\t\t—\t\n1 year ago\n\nGenitusMobile\nGenitusMobile\nDraft\t\t—\t\n1 year ago\n\nGenitusPlatform\nGenitusPlatform\nDraft\t\t—\t\n1 year ago\n\nGenitusEnglish\nGenitusEnglish\nDraft\t\t—\t\n1 year ago\n\ngenitus-agency\ngenitus-agency\nDraft\t\t\n12 days ago\n1 year ago\n\nMobileCelestia\nMobileCelestia\nDraft\t\t—\t\n1 year ago\n\nLeBureauOffice\nLeBureauOffice\nDraft\t\t\n12 days ago\n1 year ago\n\nAppAccordiaFlow\nAppAccordiaFlow\nDraft\t\t—\t\n1 year ago\n\nAIAgentPro\nAIAgentPro\nDraft\t\t—\t\n1 year ago\n\nAgentMonetizer\nAgentMonetizer\nDraft\t\t—\t\n1 year ago\n\nSecureLoginPage\nSecureLoginPage\nDraft\t\t\n12 days ago\n1 year ago\n\nAIGameCrafting\nAIGameCrafting\nDraft\t\t—\t\n1 year ago\n\nGenitusSaga\nGenitusSaga\nDraft\t\t\n12 days ago\n1 year ago\n\nMobileLibbyInterface\nMobileLibbyInterface\nDraft\t\t—\t\n1 year ago\n\nCodeChatWire\nCodeChatWire\nDraft\t\t—\t\n1 year ago\n\nHTMLWebConverter\nHTMLWebConverter\nDraft\t\t—\t\n1 year ago\n\nCatholicCompanion\nCatholicCompanion\nDraft\t\t—\t\n1 year ago\n\nGameMasterAI\nGameMasterAI\nDraft\t\t\n4 months ago\n1 year ago\n\nImageCrafterHub\nImageCrafterHub\nDraft\t\t—\t\n1 year ago\n\nEnglishLanguageMaster\nEnglishLanguageMaster\nDraft\t\t\n12 days ago\n1 year ago\n\nTravelMate\nTravelMate\nDraft\t\t\n12 days ago\n1 year ago\n\nImageGeneratorPro\nImageGeneratorPro\nDraft\t\t—\t\n1 year ago\n\nAiMusicDeluxe\nAiMusicDeluxe\nDraft\t\t—\t\n1 year ago\n\nFitnessForge\nFitnessForge\nDraft\t\t—\t\n1 year ago\n\nAIEduLearn\nAIEduLearn\nDraft\t\t—\t\n1 year ago\n\nEcoAiMobile\nEcoAiMobile\nDraft\t\t—\t\n1 year ago\n\nTrendPulse\nTrendPulse\nDraft\t\t\n6 days ago\n1 year ago\n\nMobileLanguageLearner\nMobileLanguageLearner\nDraft\t\t—\t\n1 year ago\n\nAiLinguaDashboard\nAiLinguaDashboard\nDraft\t\t—\t\n1 year ago\n\nGenitusLedger\nGenitusLedger\nDraft\t\t—\t\n1 year ago\n\nGenitusLedger (1)\nGenitusLedger (1)\nDraft\t\t—\t\n1 year ago\n\nSecureTokenHandler\nSecureTokenHandler\nDraft\t\t—\t\n1 year ago\n\nWebStyleGenerator\nWebStyleGenerator\nDraft\t\t—\t\n1 year ago\n\nLoginCommunityHub\nLoginCommunityHub\nDraft\t\t—\t\n1 year ago\n\nBoostBrain\nBoostBrain\nDraft\t\t\n29 days ago\n1 year ago\n\nMistralAgentPro\nMistralAgentPro\nDraft\t\t\n12 days ago\n1 year ago\n\nImageMistralAI\nImageMistralAI\nDraft\t\t—\t\n1 year ago\n\nWebQuestAI\nWebQuestAI\nDraft\t\t—\t\n1 year ago\n\nPerplexitySearch\nPerplexitySearch\nDraft\t\t\n12 days ago\n1 year ago\n\nMatrixPerplexity\nMatrixPerplexity\nDraft\t\t—\t\n1 year ago\n\nPerplexityMaster\nPerplexityMaster\nDraft\t\t\n12 days ago\n1 year ago\n\nStripeLoginFlow\nStripeLoginFlow\nDraft\t\t—\t\n1 year ago\n\nGeniusRoboAdvisor\nGeniusRoboAdvisor\nDraft\t\t—\t\n1 year ago\n\nGenitusFusion\nGenitusFusion\nDraft\t\t—\t\n1 year ago\n\nGenitusBroker\nGenitusBroker\nDraft\t\t\n6 days ago\n1 year ago\n\nSecureSignIn\nSecureSignIn\nDraft\t\t—\t\n1 year ago\n\nAIToolExplorer\nAIToolExplorer\nDraft\t\t—\t\n1 year ago\n\nAICodePilot\nAICodePilot\nDraft\t\t\n12 days ago\n1 year ago\n\nScreenCapturePro\nScreenCapturePro\nDraft\t\t—\t\n1 year ago\n\nVideoCapturePro\nVideoCapturePro\nDraft\t\t—\t\n1 year ago\n\nLoginSecure\nLoginSecure\nDraft\t\t—\t\n1 year ago\n\nLeadHarvester\nLeadHarvester\nPublished\ngenitus-leads.replit.app\t\n3 hours ago\n1 year ago\n\nAIImageLibrary\nAIImageLibrary\nDraft\t\t—\t\n1 year ago\n\nGenAiLibby\nGenAiLibby\nDraft\t\t—\t\n1 year ago\n\nMobileChatAssistant\nMobileChatAssistant\nDraft\t\t—\t\n1 year ago\n\nVisionChatAssistant\nVisionChatAssistant\nDraft\t\t\n12 days ago\n1 year ago\n\nAIBondsPro\nAIBondsPro\nDraft\t\t—\t\n1 year ago\n\nAIBondIntelligence\nAIBondIntelligence\nDraft\t\t\n12 days ago\n1 year ago\n\nMobileDashboard (1)\nMobileDashboard (1)\nDraft\t\t—\t\n1 year ago\n\nFileSystemExplorer\nFileSystemExplorer\nDraft\t\t—\t\n1 year ago\n\nGradeMobileTracker\nGradeMobileTracker\nDraft\t\t—\t\n1 year ago\n\nFileNavigatorPro\nFileNavigatorPro\nDraft\t\t—\t\n1 year ago\n\nBondDashboard\nBondDashboard\nDraft\t\t—\t\n1 year ago\n\nBondTracker\nBondTracker\nDraft\t\t—\t\n1 year ago\n\nGreenSageAI\nGreenSageAI\nDraft\t\t—\t\n1 year ago\n\nSalesDashboardPro\nSalesDashboardPro\nDraft\t\t—\t\n1 year ago\n\nCorporateLanding\nCorporateLanding\nDraft\t\t—\t\n1 year ago\n\nOptionsMaster\nOptionsMaster\nDraft\t\t\n4 months ago\n1 year ago\n\nAIInvestmentAnalyzer\nAIInvestmentAnalyzer\nDraft\t\t\n6 days ago\n1 year ago\n\nWordPressBuilder\nWordPressBuilder\nDraft\t\t—\t\n1 year ago\n\nFinanceBidHub\nFinanceBidHub\nDraft\t\t—\t\n1 year ago\n\nPromptMaster\nPromptMaster\nDraft\t\t—\t\n1 year ago\n\nPromptCraft\nPromptCraft\nDraft\t\t—\t\n1 year ago\n\nPromptCraftHub\nPromptCraftHub\nDraft\t\t—\t\n1 year ago\n\nGenitusFacilityAI\nGenitusFacilityAI\nDraft\t\t—\t\n1 year ago\n\nSalesSymphony\nSalesSymphony\nDraft\t\t\n14 minutes ago\n1 year ago\n\nLearningSocialSync\nLearningSocialSync\nDraft\t\t\n12 days ago\n1 year ago\n\nDiabetesGuardian\nDiabetesGuardian\nDraft\t\t\n12 days ago\n1 year ago\n\nIntelliOffice\nIntelliOffice\nDraft\t\t\n4 months ago\n1 year ago\n\nMobileAssistant\nMobileAssistant\nDraft\t\t\n12 days ago\n1 year ago\n\nPersonalAICompanion\nPersonalAICompanion\nDraft\t\t\n12 days ago\n1 year ago\n\nFinancialElite\nFinancialElite\nDraft\t\t—\t\n1 year ago\n\nAutoGenerationPro\nAutoGenerationPro\nDraft\t\t\n12 days ago\n1 year ago\n\nCorporateChatFusion\nCorporateChatFusion\nDraft\t\t—\t\n1 year ago\n\nGreenAiAssistant\nGreenAiAssistant\nDraft\t\t\n12 days ago\n1 year ago\n\nTextToSpeechMaster\nTextToSpeechMaster\nDraft\t\t\n12 days ago\n1 year ago\n\nHotTakeGenerator\nHotTakeGenerator\nDraft\t\t—\t\n1 year ago\n\nHotTakeGenerator (1)\nHotTakeGenerator (1)\nDraft\t\t\n12 days ago\n1 year ago\n\nCyberShieldAI\nCyberShieldAI\nDraft\t\t—\t\n1 year ago\n\nCyberShield\nCyberShield\nDraft\t\t—\t\n1 year ago\n\nCyberShield (1)\nCyberShield (1)\nDraft\t\t\n12 days ago\n1 year ago\n\nAIVisualPlatform\nAIVisualPlatform\nDraft\t\t—\t\n1 year ago\n\nI apologize, but I cannot see any attached file in our conv\nI apologize, but I cannot see any attached file in our conv\nDraft\t\t—\t\n1 year ago\n\nWolframGenius\nWolframGenius\nDraft\t\t—\t\n1 year ago\n\nGenitusMobileLexikon\nGenitusMobileLexikon\nDraft\t\t—\t\n1 year ago\n\nAIImageStyler\nAIImageStyler\nDraft\t\t\n12 days ago\n1 year ago\n\nBankChatAssist\nBankChatAssist\nDraft\t\t\n4 days ago\n1 year ago\n\nFinancialAssistant\nFinancialAssistant\nDraft\t\t—\t\n1 year ago\n\nSophisticatedChatInterface\nSophisticatedChatInterface\nDraft\t\t—\t\n1 year ago\n\n1c\n1c\nDraft\t\t—\t\n1 year ago\n\nnononkl\nnononkl\nDraft\t\t—\t\n1 year ago\n\ngoldi1\ngoldi1\nDraft\t\t\n6 days ago\n1 year ago\n\nWikiIMAGE\nWikiIMAGE\nDraft\t\t\n12 days ago\n1 year ago\n\nFinTechLexicon\nFinTechLexicon\nDraft\t\t—\t\n1 year ago\n\nGeminiModels\nGeminiModels\nDraft\t\t—\t\n1 year ago\n\njiiho\njiiho\nDraft\t\t—\t\n1 year ago\n\nwikidatabase\nwikidatabase\nDraft\t\t—\t\n1 year ago\n\nSocialMediaAnalyzer\nSocialMediaAnalyzer\nDraft\t\t—\t\n1 year ago\n\nDataGridIntelligence\nDataGridIntelligence\nDraft\t\t—\t\n1 year ago\n\nWikiIMAGE (1)\nWikiIMAGE (1)\nDraft\t\t\n12 days ago\n1 year ago\n\nWikiIMAGE USER\nWikiIMAGE USER\nDraft\t\t\n12 days ago\n1 year ago\n\nDatabaseManager\nDatabaseManager\nDraft\t\t\n12 days ago\n1 year ago\n\nGitHubVault\nGitHubVault\nDraft\t\t—\t\n1 year ago\n\nWebinarMaster\nWebinarMaster\nDraft\t\t—\t\n1 year ago\n\nDevControlDash\nDevControlDash\nDraft\t\t—\t\n1 year ago\n\nWikiIMAGE BULK\nWikiIMAGE BULK\nDraft\t\t—\t\n1 year ago\n\ndeluxedatamanger\ndeluxedatamanger\nDraft\t\t\n12 days ago\n1 year ago\n\nWikiIMAGEbobo\nWikiIMAGEbobo\nDraft\t\t—\t\n1 year ago\n\nWikiIMAGE (1)imgur\nWikiIMAGE (1)imgur\nDraft\t\t\n12 days ago\n1 year ago\n\ndeluxedatamanger235545\ndeluxedatamanger235545\nDraft\t\t—\t\n1 year ago\n\ndeluxedatamangerGPT\ndeluxedatamangerGPT\nDraft\t\t\n12 days ago\n1 year ago\n\nAiDanceMaster\nAiDanceMaster\nDraft\t\t—\t\n1 year ago\n\ngenitus-agent-github\ngenitus-agent-github\nDraft\t\t—\t\n1 year ago\n\nGoldshieldTrader\nGoldshieldTrader\nDraft\t\t—\t\n1 year ago\n\nAIIndexNavigator\nAIIndexNavigator\nDraft\t\t—\t\n1 year ago\n\nFibonacciTrader\nFibonacciTrader\nDraft\t\t\n6 days ago\n1 year ago\n\nGeniusTechSuite\nGeniusTechSuite\nDraft\t\t—\t\n1 year ago\n\nGoldshieldTracker\nGoldshieldTracker\nDraft\t\t\n6 days ago\n1 year ago\n\nStockGptIntelligence\nStockGptIntelligence\nDraft\t\t\n6 days ago\n1 year ago\n\nGenitusTrade\nGenitusTrade\nDraft\t\t\n6 days ago\n1 year ago\n\nBalanceGenius\nBalanceGenius\nDraft\t\t—\t\n1 year ago\n\nglobalfintech\nglobalfintech\nDraft\t\t—\t\n1 year ago\n\nappgpt-database\nappgpt-database\nDraft\t\t—\t\n1 year ago\n\nAPPGPT-databse\nAPPGPT-databse\nDraft\t\t—\t\n1 year ago\n\nDataArchiveSorter\nDataArchiveSorter\nDraft\t\t\n12 days ago\n1 year ago\n\ngenitus-db-online\ngenitus-db-online\nDraft\t\t\n12 days ago\n1 year ago\n\ndb-online\ndb-online\nDraft\t\t—\t\n1 year ago\n\ndb-hard-drive\ndb-hard-drive\nDraft\t\t—\t\n1 year ago\n\nDICKE-DATABASE\nDICKE-DATABASE\nDraft\t\t—\t\n1 year ago\n\nWebDevArchive\nWebDevArchive\nDraft\t\t—\t\n1 year ago\n\nDELUXE-DATABASE-DOMUSAUREA\nDELUXE-DATABASE-DOMUSAUREA\nDraft\t\t—\t\n1 year ago\n\nCOPY-DB-DELUXE\nCOPY-DB-DELUXE\nDraft\t\t\n12 days ago\n1 year ago\n\nremix-db-superior\nremix-db-superior\nDraft\t\t—\t\n1 year ago\n\nInvestAiShield\nInvestAiShield\nDraft\t\t—\t\n1 year ago\n\nGoldShieldTrading\nGoldShieldTrading\nDraft\t\t\n8 days ago\n1 year ago\n\nEbookAccessLibrary\nEbookAccessLibrary\nDraft\t\t\n8 days ago\n1 year ago\n\nAIArtGallery\nAIArtGallery\nDraft\t\t—\t\n1 year ago\n\nSmoothSlides\nSmoothSlides\nDraft\t\t\n4 months ago\n1 year ago\n\nPitchCraft\nPitchCraft\nDraft\t\t—\t\n1 year ago\n\nEmailMarketingPro\nEmailMarketingPro\nDraft\t\t\n4 days ago\n1 year ago\n\nNewsNexus\nNewsNexus\nDraft\t\t\n2 months ago\n1 year ago\n\nFinancialInsightHub\nFinancialInsightHub\nDraft\t\t—\t\n1 year ago\n\nFinancialDashboard\nFinancialDashboard\nDraft\t\t—\t\n1 year ago\n\nCareerCrafter\nCareerCrafter\nDraft\t\t\n12 days ago\n1 year ago\n\nFinancialPulse\nFinancialPulse\nDraft\t\t—\t\n1 year ago\n\nGlobalNewsCentral\nGlobalNewsCentral\nDraft\t\t\n2 months ago\n1 year ago\n\nWorldTimeMaster\nWorldTimeMaster\nDraft\t\t—\t\n1 year ago\n\nCalculatorStyled\nCalculatorStyled\nDraft\t\t—\t\n1 year ago\n\nEmailExpressBoost\nEmailExpressBoost\nDraft\t\t—\t\n1 year ago\n\nWebPageEnhancer\nWebPageEnhancer\nDraft\t\t—\t\n1 year ago\n\nRandomStockTrader\nRandomStockTrader\nDraft\t\t\n6 days ago\n1 year ago\n\nEntertainmentMaven\nEntertainmentMaven\nDraft\t\t\n12 days ago\n1 year ago\n\nCookMasterAI\nCookMasterAI\nDraft\t\t\n12 days ago\n1 year ago\n\ncinevault-adults\ncinevault-adults\nDraft\t\t—\t\n1 year ago\n\nPokerIntelligence\nPokerIntelligence\nDraft\t\t\n12 days ago\n1 year ago\n\nRouletteAnalyzer\nRouletteAnalyzer\nDraft\t\t\n12 days ago\n1 year ago\n\nBlackjackPro\nBlackjackPro\nDraft\t\t—\t\n1 year ago\n\nQuoteHunter\nQuoteHunter\nDraft\t\t\n12 days ago\n1 year ago\n\nDigitalMarketplace\nDigitalMarketplace\nDraft\t\t—\t\n1 year ago\n\nWebinarAiConnect\nWebinarAiConnect\nDraft\t\t—\t\n1 year ago\n\nWebinarChatAI\nWebinarChatAI\nDraft\t\t—\t\n1 year ago\n\nAIMarketplace\nAIMarketplace\nDraft\t\t—\t\n1 year ago\n\nWebinarAiAssistant\nWebinarAiAssistant\nDraft\t\t\n2 days ago\n1 year ago\n\nBatchAiCompanion\nBatchAiCompanion\nDraft\t\t\n12 days ago\n1 year ago\n\nCorporateCmsMatrix\nCorporateCmsMatrix\nDraft\t\t—\t\n1 year ago\n\nHandmadeMarketplace\nHandmadeMarketplace\nDraft\t\t—\t\n1 year ago\n\nHandmadeMarketplace (1)\nHandmadeMarketplace (1)\nDraft\t\t—\t\n1 year ago\n\nDigitalMarketplace (1)\nDigitalMarketplace (1)\nDraft\t\t—\t\n1 year ago\n\nKatholischDashboard\nKatholischDashboard\nDraft\t\t—\t\n1 year ago\n\nWisdomVault\nWisdomVault\nDraft\t\t\n12 days ago\n1 year ago\n\nAmazonAssistantopenai\nAmazonAssistantopenai\nDraft\t\t—\t\n1 year ago\n\nDenariusFinance\nDenariusFinance\nDraft\t\t\n6 days ago\n1 year ago\n\nCryptoTraderPro\nCryptoTraderPro\nDraft\t\t\n6 days ago\n1 year ago\n\nGenitusPro\nGenitusPro\nDraft\t\t—\t\n1 year ago\n\nJobScoutPro\nJobScoutPro\nDraft\t\t—\t\n1 year ago\n\nChessMasterAI\nChessMasterAI\nDraft\t\t—\t\n1 year ago\n\nMajorBotInterface\nMajorBotInterface\nDraft\t\t\n6 days ago\n1 year ago\n\nDuplicateMarketer\nDuplicateMarketer\nDraft\t\t—\t\n1 year ago\n\nMajorBotInterface-lemarche\nMajorBotInterface-lemarche\nDraft\t\t\n6 days ago\n1 year ago\n\nOcrCodeReview\nOcrCodeReview\nDraft\t\t\n12 days ago\n1 year ago\n\nAIBlogMaster\nAIBlogMaster\nDraft\t\t—\t\n1 year ago\n\nSalesHunterPro\nSalesHunterPro\nDraft\t\t—\t\n1 year ago\n\nCelestialAiPlatform\nCelestialAiPlatform\nDraft\t\t\n12 days ago\n1 year ago\n\nHealthAiCompanion\nHealthAiCompanion\nDraft\t\t\n12 days ago\n1 year ago\n\nLegalAiMaster\nLegalAiMaster\nDraft\t\t—\t\n1 year ago\n\nLegalMindAI\nLegalMindAI\nDraft\t\t—\t\n1 year ago\n\nLegalLandingPro\nLegalLandingPro\nDraft\t\t—\t\n1 year ago\n\nWeatherWhiz\nWeatherWhiz\nDraft\t\t\n12 days ago\n1 year ago\n\nCasinoRoyale\nCasinoRoyale\nDraft\t\t—\t\n1 year ago\n\nOfficeDashboard\nOfficeDashboard\nDraft\t\t\n12 days ago\n1 year ago\n\nMobileMergeHub\nMobileMergeHub\nDraft\t\t\n12 days ago\n1 year ago\n\nMobileMergeHubAIIII\nMobileMergeHubAIIII\nDraft\t\t\n12 days ago\n1 year ago\n\nModernCoder\nModernCoder\nDraft\t\t\n12 days ago\n1 year ago\n\nAiSketchCoder\nAiSketchCoder\nDraft\t\t\n12 days ago\n1 year ago\n\nMajorBotInterface-lecode\nMajorBotInterface-lecode\nDraft\t\t\n6 days ago\n1 year ago\n\nCreditWall\nCreditWall\nDraft\t\t\n12 days ago\n1 year ago\n\nGptOsPaywall\nGptOsPaywall\nDraft\t\t\n12 days ago\n1 year ago\n\nSecureVault\nSecureVault\nDraft\t\t\n4 days ago\n1 year ago\n\nCorporateCmsMatrixdeux\nCorporateCmsMatrixdeux\nDraft\t\t—\t\n1 year ago\n\nAILanguageExplorer\nAILanguageExplorer\nDraft\t\t\n12 days ago\n1 year ago\n\nEmailIntelligence\nEmailIntelligence\nDraft\t\t\n4 days ago\n1 year ago\n\nSalesSymphonywhitelabel\nSalesSymphonywhitelabel\nDraft\t\t\n12 days ago\n1 year ago\n\nTradingAuctionDashboard\nTradingAuctionDashboard\nDraft\t\t\n4 months ago\n1 year ago\n\nStockGptIntelligencebasic\nStockGptIntelligencebasic\nDraft\t\t—\t\n1 year ago\n\nOpenStreetNavigator\nOpenStreetNavigator\nDraft\t\t—\t\n1 year ago\n\nGlobalFinTechLanding\nGlobalFinTechLanding\nDraft\t\t—\t\n1 year ago\n\nSendGridEmailAutomation\nSendGridEmailAutomation\nDraft\t\t\n12 days ago\n1 year ago\n\nSalesSymphonyLEAD\nSalesSymphonyLEAD\nDraft\t\t\n3 hours ago\n1 year ago\n\nTwilioVoiceSms\nTwilioVoiceSms\nDraft\t\t—\t\n1 year ago\n\nAIFactory\nAIFactory\nDraft\t\t—\t\n1 year ago\n\nNokiaSnakeRevival\nNokiaSnakeRevival\nDraft\t\t—\t\n1 year ago\n\nSpaceRetroAdventure\nSpaceRetroAdventure\nDraft\t\t—\t\n1 year ago\n\nWingBlaster\nWingBlaster\nDraft\t\t—\t\n1 year ago\n\nMarioMadness\nMarioMadness\nDraft\t\t—\t\n1 year ago\n\nMarioMobileRun\nMarioMobileRun\nDraft\t\t—\t\n1 year ago\n\nSudokuMaster\nSudokuMaster\nDraft\t\t—\t\n1 year ago\n\nMauMauMaster\nMauMauMaster\nDraft\t\t—\t\n1 year ago\n\nHangmanCanvas\nHangmanCanvas\nDraft\t\t—\t\n1 year ago\n\nDeathStarWars\nDeathStarWars\nDraft\t\t—\t\n1 year ago\n\nAITetrisMaster\nAITetrisMaster\nDraft\t\t—\t\n1 year ago\n\nI apologize, but it seems that there might be an issue with\nI apologize, but it seems that there might be an issue with\nDraft\t\t—\t\n1 year ago\n\nPilgerWege\nPilgerWege\nDraft\t\t—\t\n1 year ago\n\nEuropeanPilgrim\nEuropeanPilgrim\nDraft\t\t—\t\n1 year ago\n\nAIWebDev\nAIWebDev\nDraft\t\t\n12 days ago\n1 year ago\n\nDeepDiveResearcher\nDeepDiveResearcher\nDraft\t\t\n7 days ago\n1 year ago\n\nAIWebDevPUBLIC\nAIWebDevPUBLIC\nDraft\t\t\n12 days ago\n1 year ago\n\nWhackMoleArcade\nWhackMoleArcade\nDraft\t\t—\t\n1 year ago\n\nAiMusicMaster\nAiMusicMaster\nDraft\t\t—\t\n1 year ago\n\nDocumentVault\nDocumentVault\nDraft\t\t—\t\n1 year ago\n\nCreativeFunnelPro\nCreativeFunnelPro\nDraft\t\t—\t\n1 year ago\n\nNextLevelReader\nNextLevelReader\nDraft\t\t—\t\n1 year ago\n\nSunoSymphony\nSunoSymphony\nDraft\t\t—\t\n1 year ago\n\nFinanzMeister\nFinanzMeister\nDraft\t\t\n12 days ago\n1 year ago\n\nChessMasterTrainer\nChessMasterTrainer\nDraft\t\t—\t\n1 year ago\n\nQuantumCalculator\nQuantumCalculator\nDraft\t\t\n12 days ago\n1 year ago\n\nResponsiveWindowManager\nResponsiveWindowManager\nDraft\t\t—\t\n1 year ago\n\nTextAnalysisSuite\nTextAnalysisSuite\nDraft\t\t—\t\n1 year ago\n\nEbookTemplateForge\nEbookTemplateForge\nDraft\t\t—\t\n1 year ago\n\nWebSiteEnhancer\nWebSiteEnhancer\nDraft\t\t\n12 days ago\n1 year ago\n\nWebSiteEnhancer1211\nWebSiteEnhancer1211\nDraft\t\t\n12 days ago\n1 year ago\n\nAIEpicSaga\nAIEpicSaga\nDraft\t\t—\t\n1 year ago\n\nNeuralFighterArena\nNeuralFighterArena\nDraft\t\t—\t\n1 year ago\n\nCardClashTCG\nCardClashTCG\nDraft\t\t—\t\n1 year ago\n\nNexusCodex\nNexusCodex\nDraft\t\t—\t\n1 year ago\n\nDomvsAurea\nDomvsAurea\nDraft\t\t—\t\n1 year ago\n\nWebsiteHost\nWebsiteHost\nDraft\t\t—\t\n1 year ago\n\nFUNandPROFIT\nFUNandPROFIT\nPublished\nfunandprofit.org\t\n2 months ago\n1 year ago\n\nBewerbungsAI\nBewerbungsAI\nDraft\t\t—\t\n1 year ago\n\nbewerbungsbot\nbewerbungsbot\nDraft\t\t—\t\n1 year ago\n\nSalesSymphonyAGENT\nSalesSymphonyAGENT\nDraft\t\t—\t\n12 months ago\n\nCodeAnalyseBot\nCodeAnalyseBot\nDraft\t\t—\t\n12 months ago\n\nBioPaperAnalyzer\nBioPaperAnalyzer\nDraft\t\t—\t\n12 months ago\n\nLIFESCIENCE\nLIFESCIENCE\nDraft\t\t—\t\n12 months ago\n\nEliteCRM\nEliteCRM\nDraft\t\t\n17 hours ago\n12 months ago\n\nleCRM\nleCRM\nDraft\t\t\n17 hours ago\n12 months ago\n\nvibecoding\nvibecoding\nDraft\t\t—\t\n12 months ago\n\naivibecoding\naivibecoding\nDraft\t\t—\t\n12 months ago\n\nBoostBrain2\nBoostBrain2\nDraft\t\t\n12 days ago\n12 months ago\n\nAICodePilotTERMINAL\nAICodePilotTERMINAL\nDraft\t\t—\t\n12 months ago\n\ngptKEYserver\ngptKEYserver\nDraft\t\t\n2 days ago\n11 months ago\n\nLOGINserver\nLOGINserver\nDraft\t\t\n12 days ago\n11 months ago\n\nsecureALL\nsecureALL\nPublished\nsecure-all.replit.app\t\n2 days ago\n11 months ago\n\nEXCELL calculator\nEXCELL calculator\nDraft\t\t—\t\n11 months ago\n\nElternGUIDE\nElternGUIDE\nDraft\t\t—\t\n11 months ago\n\nFitnessBro\nFitnessBro\nDraft\t\t\n12 days ago\n11 months ago\n\nMistralForge\nMistralForge\nDraft\t\t—\t\n11 months ago\n\neditor\neditor\nPublished\ngenitus-editor.replit.app\t\n3 days ago\n11 months ago\n\nTheSERVERopenai\nTheSERVERopenai\nPublished\ntheserver-open-ai.replit.app\t\n2 days ago\n11 months ago\n\ngptcenter\ngptcenter\nDraft\t\t—\t\n11 months ago\n\ndachess\ndachess\nDraft\t\t—\t\n11 months ago\n\nJWTmarkov\nJWTmarkov\nDraft\t\t\n3 months ago\n11 months ago\n\ndaDOC\ndaDOC\nDraft\t\t—\t\n11 months ago\n\nDVAGlanding\nDVAGlanding\nPublished\ndvag-index.replit.app\t\n2 months ago\n11 months ago\n\nquizDVAG\nquizDVAG\nPublished\nDVAG-quiz.replit.app\t\n2 months ago\n11 months ago\n\ndacasestudy\ndacasestudy\nPublished\ncase-stud.replit.app\t\n2 months ago\n11 months ago\n\ndvagebook\ndvagebook\nDraft\t\t—\t\n11 months ago\n\nDAliste\nDAliste\nPublished\nkip-liste.replit.app\t—\t\n11 months ago\n\nCASE-study-ALL\nCASE-study-ALL\nDraft\t\t—\t\n11 months ago\n\ngenitorr\ngenitorr\nDraft\t\t—\t\n11 months ago\n\nDVAGintranet\nDVAGintranet\nPublished\ndva-gintranet-domusaureaopn.replit.app\t\n2 months ago\n11 months ago\n\nHuashaltsbuch\nHuashaltsbuch\nDraft\t\t\n8 days ago\n11 months ago\n\napp.ps\napp.ps\nDraft\t\t—\t\n11 months ago\n\nmp3extractor\nmp3extractor\nDraft\t\t—\t\n11 months ago\n\ntts-batch\ntts-batch\nPublished\ntts-batch-domusaureaopn.replit.app\t\n4 hours ago\n11 months ago\n\nderarchitect\nderarchitect\nDraft\t\t—\t\n11 months ago\n\nDaBATCH-JOB\nDaBATCH-JOB\nPublished\nda-batch-job-domusaureaopn.replit.app\t\n2 months ago\n11 months ago\n\nDaBaTch-Runde 0\nDaBaTch-Runde 0\nPublished\nda-ba-tch-runde-0-domusaureaopn.replit.app\t\n4 months ago\n11 months ago\n\ndaBATCH-job-runde3\ndaBATCH-job-runde3\nFailed\nda-batch-job-runde-3-domusaureaopn.replit.app\t\n2 months ago\n11 months ago\n\nvguh\nvguh\nPublished\ngenitus-one-liner.replit.app\t—\t\n10 months ago\n\nall.batches-united\nall.batches-united\nPublished\ngenitus-batches.replit.app\t\n2 months ago\n10 months ago\n\nDVAG-LE_MIX\nDVAG-LE_MIX\nPublished\ndvag-immobilien.replit.app\t\n2 months ago\n10 months ago\n\nDVAG-sterun-ebook\nDVAG-sterun-ebook\nDraft\t\t—\t\n10 months ago\n\nXTRACKERS\nXTRACKERS\nPublished\nxtrackers-domusaureaopn.replit.app\t\n3 months ago\n10 months ago\n\nebookdvga\nebookdvga\nPublished\nebookdvga-investment.replit.app\t\n2 months ago\n10 months ago\n\nDA_BATCH_FOR_REAL\nDA_BATCH_FOR_REAL\nPublished\ndabatchforreal.replit.app\t\n2 months ago\n10 months ago\n\nDVAG-Marketing\nDVAG-Marketing\nPublished\ndvag-marketing.replit.app\t—\t\n10 months ago\n\nonbording-sales-videos\nonbording-sales-videos\nDraft\t\t—\t\n10 months ago\n\nDA-BATCH-INDEX\nDA-BATCH-INDEX\nPublished\nda-batch-gallery.replit.app\t—\t\n10 months ago\n\nDA-BATCH+APP.OS\nDA-BATCH+APP.OS\nPublished\nda-batchappos.replit.app\t\n2 months ago\n10 months ago\n\nscripte-mix sales\nscripte-mix sales\nDraft\t\t—\t\n10 months ago\n\ngenerali\ngenerali\nPublished\ngenerali.replit.app\t\n2 months ago\n10 months ago\n\ngenrali2\ngenrali2\nPublished\ngenrali-2-domusaureaopn.replit.app\t\n2 months ago\n10 months ago\n\nreplit.md\nreplit.md\nDraft\t\t—\t\n10 months ago\n\nreplitagent\nreplitagent\nPublished\nreplitagent-domusaureaopn.replit.app\t—\t\n10 months ago\n\nAICodePilot.codestral\nAICodePilot.codestral\nDraft\t\t—\t\n10 months ago\n\npowerSLIDES\npowerSLIDES\nPublished\npower-slides-domusaureaopn.replit.app\t\n2 months ago\n10 months ago\n\nCPlusPlus\nCPlusPlus\nDraft\t\t\n12 days ago\n10 months ago\n\nEXXPORT-BATCH\nEXXPORT-BATCH\nPublished\nleBATCH.replit.app\t—\t\n10 months ago\n\nfitnessbruder\nfitnessbruder\nDraft\t\t\n4 months ago\n10 months ago\n\ngenitus.org\ngenitus.org\nPublished\ngenitus.org\t\n29 days ago\n10 months ago\n\nEXXPORT-BATCH-deux\nEXXPORT-BATCH-deux\nDraft\t\t—\t\n10 months ago\n\ngenitus-agency-novedas\ngenitus-agency-novedas\nDraft\t\t—\t\n10 months ago\n\nagency\nagency\nPublished\nmyautomation.pro\t\n2 months ago\n10 months ago\n\nKORRES\nKORRES\nPublished\nfrancais-pro.replit.app\t\n13 days ago\n10 months ago\n\nFUNNEL\nFUNNEL\nFailed\nfunnel-ai-plattform.replit.app\t—\t\n10 months ago\n\nAI-STORE\nAI-STORE\nPublished\nai-automation.replit.app\t\n4 months ago\n10 months ago\n\nintranet\nintranet\nDraft\t\t—\t\n10 months ago\n\nkathbot\nkathbot\nPublished\nkathbot.replit.app\t\n2 months ago\n10 months ago\n\ndaniel\ndaniel\nPublished\ndanielgereci.com\t\n2 months ago\n10 months ago\n\nkath-ki\nkath-ki\nPublished\nkatholisch-ki.com\t\n2 months ago\n10 months ago\n\ndvagos\ndvagos\nDraft\t\t—\t\n10 months ago\n\nGMAIl\nGMAIl\nDraft\t\t—\t\n10 months ago\n\nleCSS\nleCSS\nPublished\nle-css.replit.app\t\n4 months ago\n10 months ago\n\nKI-DZ Club\nKI-DZ Club\nPublished\nki-club.net\t\n2 months ago\n10 months ago\n\nreplit.md (1)\nreplit.md (1)\nPublished\nreplit-md.replit.app\t—\t\n10 months ago\n\nfintech-collection\nfintech-collection\nPublished\nfintech-collection.replit.app\t—\t\n10 months ago\n\nBewerbung-CLAUDE\nBewerbung-CLAUDE\nDraft\t\t\n12 days ago\n10 months ago\n\nneural-kids\nneural-kids\nPublished\nneural-kids.replit.app\t\n2 months ago\n10 months ago\n\nneural-kids-hrvatski\nneural-kids-hrvatski\nFailed\nneural-kids-hrvatski-domusaureaopn.replit.app\t—\t\n10 months ago\n\nPrompting eboook\nPrompting eboook\nDraft\t\t—\t\n10 months ago\n\nlifescience-komplett\nlifescience-komplett\nPublished\nheathcare.replit.app\t—\t\n10 months ago\n\nBewerbung-CLAUDE-OUTREACH\nBewerbung-CLAUDE-OUTREACH\nDraft\t\t—\t\n10 months ago\n\nteenfinance\nteenfinance\nPublished\nteen-finance.replit.app\t—\t\n10 months ago\n\nadrienn\nadrienn\nPublished\nadrienn-remix.replit.app\t—\t\n10 months ago\n\nLeTeen\nLeTeen\nPublished\nle-teen.replit.app\t\n2 days ago\n10 months ago\n\nMOURINHO\nMOURINHO\nPublished\nnext-cr7.replit.app\t\n2 months ago\n10 months ago\n\nANGELUS\nANGELUS\nPublished\nangelus-domini.replit.app\t\n2 months ago\n10 months ago\n\nKOBE\nKOBE\nPublished\nkobe-mamba.replit.app\t—\t\n10 months ago\n\nCURRICULUM\nCURRICULUM\nDraft\t\t\n8 days ago\n10 months ago\n\nnrw\nnrw\nFailed\nnrw-domusaureaopn.replit.app\t\n2 months ago\n10 months ago\n\njoojo\njoojo\nPublished\nLe-Prof.replit.app\t\n2 months ago\n10 months ago\n\nSCHULNOTEN\nSCHULNOTEN\nPublished\nschulnoten.replit.app\t—\t\n10 months ago\n\nbatch-makeover\nbatch-makeover\nPublished\npodcast-bot.replit.app\t—\t\n10 months ago\n\nhistory\nhistory\nPublished\nhistory-ai.replit.app\t\n14 days ago\n10 months ago\n\nformeln\nformeln\nPublished\nformeln.replit.app\t\n3 days ago\n10 months ago\n\ngenitormatrix\ngenitormatrix\nPublished\ngenitormatrix.replit.app\t\n3 days ago\n10 months ago\n\nformeln-chatbot\nformeln-chatbot\nPublished\nformeln-chatbot.replit.app\t—\t\n10 months ago\n\nmusic.library\nmusic.library\nPublished\nmusic-library.replit.app\t—\t\n9 months ago\n\nalphabet\nalphabet\nPublished\nalphabet-app.replit.app\t—\t\n9 months ago\n\nzelda\nzelda\nDraft\t\t—\t\n9 months ago\n\n2d\n2d\nDraft\t\t\n12 days ago\n9 months ago\n\np5.js\np5.js\nDraft\t\t\n12 days ago\n9 months ago\n\nlatein bibiothek\nlatein bibiothek\nPublished\nlatein-bibiothek.replit.app\t\n2 months ago\n9 months ago\n\ntanzapp\ntanzapp\nDraft\t\t—\t\n9 months ago\n\ntanzaapp\ntanzaapp\nPublished\ntanzaapp.replit.app\t—\t\n9 months ago\n\nschreiben\nschreiben\nPublished\nschreiben.replit.app\t—\t\n9 months ago\n\nvulgata\nvulgata\nPublished\nvulgata.replit.app\t—\t\n9 months ago\n\nethereum\nethereum\nPublished\nethereum-ai.replit.app\t\n1 month ago\n9 months ago\n\nETH NFT minting site in 5 minutes\nETH NFT minting site in 5 minutes\nDraft\t\t—\t\n9 months ago\n\nsimplified\nsimplified\nPublished\nsimplified-stocks.replit.app\t—\t\n9 months ago\n\nsimplified-remix\nsimplified-remix\nPublished\nsimplified-remix.replit.app\t—\t\n9 months ago\n\nsimplieifed-dabest\nsimplieifed-dabest\nPublished\nsimplieifed.replit.app\t—\t\n9 months ago\n\ngallery\ngallery\nPublished\ngallery-sacred-art.replit.app\t—\t\n9 months ago\n\nbibel-bilderr\nbibel-bilderr\nPublished\nbibel-bilderr.replit.app\t\n2 months ago\n9 months ago\n\nheiligenkalender\nheiligenkalender\nDraft\t\t—\t\n9 months ago\n\nneural-codex-finale\nneural-codex-finale\nPublished\nneural-codex-finale.replit.app\t—\t\n9 months ago\n\ndeepresearch\ndeepresearch\nPublished\ndeepresearch-ai.replit.app\t\n2 months ago\n9 months ago\n\nninjaago\nninjaago\nPublished\nninjaago.replit.app\t—\t\n9 months ago\n\nneural-codex-finale (1)\nneural-codex-finale (1)\nDraft\t\t—\t\n9 months ago\n\nLeBook Neural Codex\nLeBook Neural Codex\nPublished\nle-book-neural-codex.replit.app\t\n2 months ago\n9 months ago\n\nclonewars\nclonewars\nPublished\nclone-wars.replit.app\t—\t\n9 months ago\n\ndo it yourself\ndo it yourself\nPublished\ndo-it-yourself.replit.app\t\n6 days ago\n9 months ago\n\nleclone\nleclone\nPublished\nbot-wars.replit.app\t—\t\n9 months ago\n\nkreuzweg\nkreuzweg\nPublished\nkreuzweg.replit.app\t—\t\n9 months ago\n\nappgpt\nappgpt\nPublished\nappgpt.replit.app\t\n2 months ago\n9 months ago\n\nanwalt\nanwalt\nPublished\nanwalt-ai.replit.app\t\n18 days ago\n9 months ago\n\nhausmeister\nhausmeister\nPublished\nhausmeister-ai.replit.app\t—\t\n9 months ago\n\nfamer und jäger\nfamer und jäger\nPublished\nfamer-und-jager.replit.app\t\n24 days ago\n9 months ago\n\nhausmeister-remix\nhausmeister-remix\nPublished\nhausmeister-remix.replit.app\t\n3 days ago\n9 months ago\n\nwolf of wall street\nwolf of wall street\nPublished\nwolf-of-wall-street.replit.app\t—\t\n9 months ago\n\ndo it yourself-english\ndo it yourself-english\nPublished\ndo-it-yourself-english.replit.app\t\n7 days ago\n9 months ago\n\nwolf of wall street-remix\nwolf of wall street-remix\nDraft\t\t—\t\n9 months ago\n\nwolf\nwolf\nPublished\nzero-point-zero.replit.app\t\n4 days ago\n9 months ago\n\nhistory-remix\nhistory-remix\nDraft\t\t—\t\n9 months ago\n\nPythonl-library\nPythonl-library\nDraft\t\t—\t\n9 months ago\n\nwolfs-ende\nwolfs-ende\nDraft\t\t—\t\n9 months ago\n\nsternsinger\nsternsinger\nPublished\nsternsinger.replit.app\t—\t\n9 months ago\n\ndvag-test\ndvag-test\nPublished\ndvag-test.replit.app\t\n2 months ago\n9 months ago\n\ndomuszech\ndomuszech\nPublished\ndomusaurea.replit.app\t—\t\n9 months ago\n\nHTML editor\nHTML editor\nPublished\nLe-Code.replit.app\t—\t\n9 months ago\n\nHTML editor - CODESTRAl-pilot\nHTML editor - CODESTRAl-pilot\nPublished\nhtml-editor.replit.app\t—\t\n9 months ago\n\nKINDLE\nKINDLE\nPublished\nLeKindle.replit.app\t\n2 months ago\n9 months ago\n\nRadio\nRadio\nPublished\nradio-D.replit.app\t\n5 hours ago\n9 months ago\n\naudible\naudible\nPublished\nneural-audible.replit.app\t\n2 months ago\n9 months ago\n\nkostolany\nkostolany\nPublished\nkostolany.replit.app\t\n4 days ago\n9 months ago\n\nepub\nepub\nPublished\nepub--domusaureaopn.replit.app\t—\t\n9 months ago\n\ncover\ncover\nPublished\ncover--domusaureaopn.replit.app\t\n4 days ago\n9 months ago\n\nholland\nholland\nDraft\t\t—\t\n8 months ago\n\naldi\naldi\nPublished\naldi-trading.replit.app\t\n2 months ago\n8 months ago\n\nneuralcodex band 1-3\nneuralcodex band 1-3\nPublished\nneuralcodex-band-1-3.replit.app\t—\t\n8 months ago\n\nneural-codex komplett\nneural-codex komplett\nPublished\nneural-codex-komplett--domusaureaopn.replit.app\t\n4 days ago\n8 months ago\n\npromptegineer\npromptegineer\nPublished\npromptegineer--domusaureaopn.replit.app\t—\t\n8 months ago\n\nliturgie\nliturgie\nPublished\nliturgie--domusaureaopn.replit.app\t—\t\n8 months ago\n\nliturgie (1)\nliturgie (1)\nPublished\nliturgie.replit.app\t\n2 months ago\n8 months ago\n\ndeBeauvoir\ndeBeauvoir\nPublished\nde-beauvoir.replit.app\t\n4 days ago\n8 months ago\n\nsystem-coach\nsystem-coach\nPublished\nsystem-coach.replit.app\t\n4 days ago\n8 months ago\n\nkempis\nkempis\nPublished\nimitatio.replit.app\t\n4 days ago\n8 months ago\n\nlubumda\nlubumda\nPublished\nlumumba-ai.replit.app\t\n4 days ago\n8 months ago\n\naudio-extractor\naudio-extractor\nDraft\t\t—\t\n8 months ago\n\nprompting\nprompting\nPublished\nprompting-domusaureaopn.replit.app\t—\t\n7 months ago\n\nki-entrepreneur\nki-entrepreneur\nPublished\nki-entrepreneur.replit.app\t\n4 days ago\n7 months ago\n\ntruthmap\ntruthmap\nPublished\ntruthmap.replit.app\t\n2 months ago\n7 months ago\n\npraixus\npraixus\nDraft\t\t—\t\n7 months ago\n\nblackhole\nblackhole\nPublished\nblackhole-domusaureaopn.replit.app\t\n4 days ago\n7 months ago\n\nsatellit\nsatellit\nDraft\t\t—\t\n7 months ago\n\nsumma\nsumma\nPublished\nsumma-theo.replit.app\t\n4 days ago\n7 months ago\n\ncumex\ncumex\nPublished\nrain-open.replit.app\t\n4 days ago\n7 months ago\n\nbörse-history\nbörse-history\nPublished\nborse-history.replit.app\t\n2 months ago\n7 months ago\n\ngenerali-funds\ngenerali-funds\nDraft\t\t—\t\n7 months ago\n\ndeep-talk\ndeep-talk\nDraft\t\t—\t\n7 months ago\n\ntts-batch-transcript-batch\ntts-batch-transcript-batch\nDraft\t\t—\t\n7 months ago\n\nvasp-deluxe\nvasp-deluxe\nDraft\t\t—\t\n7 months ago\n\ndeutschebank\ndeutschebank\nPublished\ndeutschebank-dvag.replit.app\t\n2 months ago\n7 months ago\n\ndvao-os-1\ndvao-os-1\nPublished\ndvag-os.replit.app\t\n2 months ago\n7 months ago\n\nWideEagerGzip\nWideEagerGzip\nDraft\t\t\n5 months ago\n5 months ago\n\nDeveloper Framework Html\nDeveloper Framework Html\nDraft\t\t\n5 months ago\n5 months ago\n\nWATCHLIST\nWATCHLIST\nPublished\nwatchlist-immo.replit.app\t\n5 months ago\n5 months ago\n\nWACHT-LISTE1\nWACHT-LISTE1\nPublished\nwacht-liste.replit.app\t\n5 months ago\n5 months ago\n\nDA-WATHCLIST\nDA-WATHCLIST\nPublished\nbig-watchlist.replit.app\t\n4 months ago\n5 months ago\n\nVAULTY\nVAULTY\nPublished\nvaulty-chat.replit.app\t\n3 months ago\n5 months ago\n\nsamsung-made\nsamsung-made\nPublished\nsamsung-made.replit.app\t\n2 months ago\n5 months ago\n\nVAULTY-Flutter\nVAULTY-Flutter\nDraft\t\t\n5 months ago\n5 months ago\n\nfiles (4).zip\nfiles (4).zip\nDraft\t\t—\t\n4 months ago\n\nJAVA\nJAVA\nFailed\njava-domusaureaopn.replit.app\t\n4 months ago\n4 months ago\n\nhtml-python\nhtml-python\nDraft\t\t\n4 months ago\n4 months ago\n\nLeRAG\nLeRAG\nPublished\nle-rag.replit.app\t\n2 months ago\n4 months ago\n\nOFFICE-FREE\nOFFICE-FREE\nDraft\t\t\n9 days ago\n4 months ago\n\nSemantic Data Hub\nSemantic Data Hub\nDraft\t\t\n4 months ago\n4 months ago\n\ngenitus-gaming\ngenitus-gaming\nPublished\ngenitus-gaming.replit.app\t\n2 months ago\n4 months ago\n\nLeWATCH\nLeWATCH\nPublished\nle-watch.replit.app\t\n1 month ago\n4 months ago\n\nhermann\nhermann\nDraft\t\t\n4 months ago\n4 months ago\n\nOPEN-SEARCH\nOPEN-SEARCH\nPublished\nopen-search-vector.replit.app\t\n2 months ago\n4 months ago\n\nOVERLORD\nOVERLORD\nPublished\noverlord-genitus.replit.app\t\n2 months ago\n4 months ago\n\nINDEX CONTROL\nINDEX CONTROL\nPublished\ngenitus-control.replit.app\t\n2 months ago\n4 months ago\n\nAuction-Option\nAuction-Option\nPublished\nXETRA.replit.app\t\n2 months ago\n4 months ago\n\nCRAWLER\nCRAWLER\nDraft\t\t\n4 months ago\n4 months ago\n\nNEURAL-PORTFOLIO\nNEURAL-PORTFOLIO\nPublished\nneural-portfolio.replit.app\t\n3 months ago\n4 months ago\n\nROSENKRANZ\nROSENKRANZ\nPublished\nrosenkranz-domusaureaopn.replit.app\t\n2 months ago\n4 months ago\n\nmaistro\nmaistro\nPublished\ncode-genitor-game.replit.app\t\n3 months ago\n4 months ago\n\nARCHITECT\nARCHITECT\nDraft\t\t—\t\n4 months ago\n\narchitect\narchitect\nDraft\t\t\n4 months ago\n4 months ago\n\nsims\nsims\nPublished\nopen-world.replit.app\t\n2 months ago\n4 months ago\n\nvektor-ide\nvektor-ide\nPublished\nvektor-ide.replit.app\t\n3 months ago\n4 months ago\n\nstarcraft2\nstarcraft2\nPublished\nstarcraft-2.replit.app\t\n2 months ago\n4 months ago\n\narchitect (1)\narchitect (1)\nPublished\narchitect-1.replit.app\t\n4 months ago\n4 months ago\n\nSPIELESAMMLUNG\nSPIELESAMMLUNG\nPublished\ngaming-ai.replit.app\t\n22 days ago\n4 months ago\n\nGEMINI-OS\nGEMINI-OS\nPublished\ngemini-os.replit.app\t\n3 days ago\n4 months ago\n\nNEURAL-MANSION\nNEURAL-MANSION\nPublished\nneural-mansion.replit.app\t\n2 months ago\n4 months ago\n\nTRON\nTRON\nPublished\nneural-tron.replit.app\t\n4 months ago\n4 months ago\n\nKICKER\nKICKER\nDraft\t\t\n4 months ago\n4 months ago\n\nSTREETBALL\nSTREETBALL\nPublished\nstreet-ball.replit.app\t\n4 months ago\n4 months ago\n\nPENALTY\nPENALTY\nPublished\npenalty-kick.replit.app\t\n4 months ago\n4 months ago\n\nMADDEN\nMADDEN\nPublished\nmadden-ai.replit.app\t\n4 months ago\n4 months ago\n\nGOLDSHIELD;YAHOO\nGOLDSHIELD;YAHOO\nPublished\ngoldshieldyahoo.replit.app\t\n4 months ago\n4 months ago\n\nML-Predictin\nML-Predictin\nDraft\t\t\n2 days ago\n4 months ago\n\nTENSOR-FLOW\nTENSOR-FLOW\nDraft\t\t\n2 days ago\n4 months ago\n\nVEKTOR-DATABASE\nVEKTOR-DATABASE\nDraft\t\t\n12 days ago\n4 months 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days ago\n1 month ago\n\nORBITRON-OS\nORBITRON-OS\nPublished\norbitron-os.replit.app\t\n5 days ago\n1 month ago\n\nORBITRON-WINDOWS\nORBITRON-WINDOWS\nPublished\norbitron-windows.replit.app\t\n1 month ago\n1 month ago\n\nORBITRON-BROTHERS\nORBITRON-BROTHERS\nPublished\norbitron-brothers.replit.app\t\n23 days ago\n1 month ago\n\nGLOBALFINTECH-PWA\nGLOBALFINTECH-PWA\nPublished\nglobalfintech-pwa.replit.app\t\n3 days ago\n1 month ago\n\nORBITRON-MASHINE\nORBITRON-MASHINE\nPublished\norbitron-mashine.replit.app\t\n1 month ago\n1 month ago\n\nORBITRON-WINDOWS-1\nORBITRON-WINDOWS-1\nDraft\t\t\n1 month ago\n1 month ago\n\nCHARTS-LIBRARY\nCHARTS-LIBRARY\nPublished\ncharts-library.replit.app\t\n5 days ago\n24 days ago\n\nPWA\nPWA\nPublished\norbitron-pwa.replit.app\t\n48 minutes ago\n23 days ago\n\nMINDSTAR\nMINDSTAR\nPublished\nmindstar.replit.app\t\n17 days ago\n20 days ago\n\nLegal-TECH\nLegal-TECH\nPublished\nlegal-technolgy.replit.app\t\n17 days ago\n19 days ago\n\nschach-meisger\nschach-meisger\nPublished\nschach-meisger.replit.app\t\n9 days ago\n17 days ago\n\nTexasInstruments\nTexasInstruments\nPublished\ntexas-instruments.replit.app\t\n15 days ago\n16 days ago\n\nPWA-HISTORY-NACHHILFE\nPWA-HISTORY-NACHHILFE\nDraft\t\t\n12 days ago\n12 days ago\n\npwa-history\npwa-history\nPublished\npwa-history.replit.app\t\n12 days ago\n12 days ago\n\nCHATBOT-EMPIRE\nCHATBOT-EMPIRE\nPublished\nchatbot-empire.replit.app\t\n9 days ago\n12 days ago\n\nLeMarché-PWA\nLeMarché-PWA\nPublished\nle-marche-pwa.replit.app\t\n7 days ago\n10 days ago\n\nREMIX-Haushalt\nREMIX-Haushalt\nPublished\norbitron-finance.replit.app\t\n8 days ago\n9 days ago\n\nSALES BOT\nSALES BOT\nPublished\nsales-bot-pwa.replit.app\t\n4 days ago\n8 days ago\n\nLeMarché-PWA-remix\nLeMarché-PWA-remix\nPublished\nle-marche-pwa-remix.replit.app\t\n3 days ago\n7 days ago\n\nOrbitron MARCHÉ\nOrbitron MARCHÉ\nPublished\norbitron-marche.replit.app\t\n21 hours ago\n5 days ago\n\nROUTINE-CODING\nROUTINE-CODING\nDraft\t\t\n4 days ago\n4 days ago\n\nREPLIT-MD\nREPLIT-MD\nPublished\nreplit-md-domusaureaopn.replit.app\t\n4 minutes ago\n4 days ago\n\nCODING CHATROOM\nCODING CHATROOM\nPublished\ngenitus-chatroom.replit.app\t\n2 days ago\n2 days ago\n\nEBOOKS-AUFLAG-2\nEBOOKS-AUFLAG-2\nPublished\nebooks-auflag-2.replit.app\t\njust now\n23 hours ago\n\nProjects - Replit",
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            "title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
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            "overview": "--- project: 100-school-tutoring-complex-html5-app-prompts category: Prompt-Bibliothek cluster: Schule / Nachhilfe / Prüfungsvorbereitung tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, schule, nachhilfe, k12, pruefungsvorbereitung, abitur, formelsammlung, vokabeltrainer] --- # 100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500) ## Overview Batch 5 der Prompt-Bibliothek widmet sich einem der am häufigsten wiederkehrenden Sektoren im HTML-MD-EXPORT-Archiv: K12-Schule, Nachhilfe und Prüfungsvorbereitung. Anders als Batch 2 (Kategorie 4 dort: Dev-Tools/Lernplattformen für erwachsene Entwickler) richtet sich dieser Batch konsequent an Schüler von der Grun",
            "content": "---\nproject: 100-school-tutoring-complex-html5-app-prompts\ncategory: Prompt-Bibliothek\ncluster: Schule / Nachhilfe / Prüfungsvorbereitung\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, schule, nachhilfe, k12, pruefungsvorbereitung, abitur, formelsammlung, vokabeltrainer]\n---\n\n# 100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)\n\n## Overview\nBatch 5 der Prompt-Bibliothek widmet sich einem der am häufigsten wiederkehrenden Sektoren im HTML-MD-EXPORT-Archiv: K12-Schule, Nachhilfe und Prüfungsvorbereitung. Anders als Batch 2 (Kategorie 4 dort: Dev-Tools/Lernplattformen für erwachsene Entwickler) richtet sich dieser Batch konsequent an Schüler von der Grundschule bis zum Abitur, an ihre Eltern und an private Nachhilfelehrer. Grundlage sind reale wiederkehrende Projektmuster aus dem eigenen Stack: NACHHILFE (u.a. \"Formelsammlung to go\" und \"5-Sprachen-Grammatik kompakt\"), joojo (\"109 Übungstests fürs Gymnasium NRW – Eltern-/Schülerhandbuch\"), latina-v-klausur-trainer-ios-css-neu (Latein-Klausurtrainer) sowie PWA-HISTORY-NACHHILFE und pwa-history (Geschichts-Nachhilfe-PWAs). Ziel: diese Muster zu 100 eigenständigen, konkret an deutschen Lehrplänen und Prüfungsformaten orientierten App-Prompts weiterzudenken.\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße, 2500+ Zeilen Code, 250+ Components, 8+ GSAP-Animationen, Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts + D3.js + GSAP + LocalStorage/IndexedDB\n- Altersgerechte Design-Sprache je Zielgruppe (Grundschule: große Buttons, einfache Navigation, freundliche Farben ohne Reizüberflutung; Oberstufe/Abitur: sachlich-reduziert)\n- Datenschutz-bewusst durchgängig: keine Klarnamen-Pflicht, keine Fotos von Minderjährigen, keine unnötige Datenerhebung bei Kindern — Pseudonym/Avatar/Schüler-Kürzel statt echter Identität, alle Daten lokal (LocalStorage/IndexedDB) statt Cloud-Upload\n\n## Kategorie 1: FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)\n\n1. **#401** — erstelle einen Mathe-Übungstest-Generator Klasse 5-10 differenziert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenauswahl Bruchrechnung/Prozentrechnung/Gleichungen/Geometrie nach Klassenstufe, Schulform-Umschalter Gymnasium/Realschule/Gesamtschule mit angepasstem Anforderungsniveau, Aufgaben-Generator mit Zufallszahlen und Schwierigkeitsstufen leicht/mittel/schwer, Rechenweg-Anzeige einklappbar bei falscher Antwort, Zeitmessung pro Aufgabe und Gesamttest, Punktesystem mit Notenschlüssel-Umrechnung, Fehleranalyse nach Themenblock (ApexCharts Balken), Wiederholungsmodus nur falsch gelöste Aufgaben, Druckansicht als PDF-Arbeitsblatt für Offline-Übung, Fortschrittsverlauf über mehrere Testdurchläufe (D3.js Linie), Eltern-Ansicht ohne Klarnamen nur Pseudonym, GSAP Aufgaben-Einblend-Animationen - USE CASE: Schüler üben eigenständig für die nächste Klassenarbeit mit passgenauem Schwierigkeitsgrad, Nachhilfelehrer erstellen in Minuten differenzierte Übungssätze für Schüler unterschiedlicher Schulformen.\n\n2. **#402** — entwickle einen Deutsch-Grammatik-und-Rechtschreibtest-Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenkatalog Zeitformen/Satzglieder/Groß-Kleinschreibung/Kommasetzung nach Klassenstufe 5-10, Lückentext-Generator mit automatischer Auswertung, Diktat-Modus mit Vorlese-Simulation und Fehlerhervorhebung, Fehlerklassifikation Rechtschreibung vs Grammatik vs Zeichensetzung (ApexCharts Donut), Regelerklärung bei Fehler mit Beispielsatz, Schwierigkeitsgrad-Anpassung nach Fehlerquote automatisch, Klassenarbeits-Simulation mit Zeitlimit, individuelle Fehlerkartei häufigster Fehlerwörter, Fortschritts-Heatmap über Wochen (D3.js Kalender), Export Testergebnis als Übersicht für Eltern, Offline-Nutzung ohne Internet, GSAP Korrektur-Feedback-Animationen - USE CASE: Grundschul- und Unterstufenschüler festigen Rechtschreibung und Grammatik gezielt vor Diktaten, Eltern erkennen anhand der Fehlerkartei welche Regeln noch nicht sitzen.\n\n3. **#403** — programmiere einen Englisch-Vocabulary-und-Grammar-Test-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themeneinheiten nach gängigen Lehrwerk-Kapiteln School/Family/Sports/Environment, Grammatik-Module Simple Past/Present Perfect/Conditional Sentences mit Erklär-Popover, Multiple-Choice und Lückentext-Aufgabentypen kombiniert, Aussprache-Hinweis-Karten zu Vokabeln, Klassenstufen-Filter 5-10 mit passendem Wortschatzumfang, Test-Auswertung mit Prozent- und Notenschlüssel-Anzeige, Fehlerschwerpunkt-Analyse Vokabular vs Grammatik (ApexCharts Balken), Wiederholungs-Set aus letzten Fehlern automatisch zusammengestellt, Zeitdruck-Modus wie in echter Klassenarbeit, Fortschrittsverlauf mehrerer Testtermine (D3.js Linie), Vokabelheft-Export als Liste, GSAP Test-Abschluss-Animationen - USE CASE: Schüler bereiten sich strukturiert auf Vokabeltests und Klassenarbeiten vor, Nachhilfelehrer identifizieren schnell ob Vokabular oder Grammatik der Schwachpunkt ist.\n\n4. **#404** — baue einen Latein-Übersetzungs-und-Grammatik-Klausurtrainer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Textkorpus nach Lehrbuchlektionen mit steigendem Schwierigkeitsgrad, Übersetzungs-Editor mit Wort-für-Wort-Hilfe bei Bedarf einblendbar, Grammatik-Module AcI/Ablativus Absolutus/Konjunktiv im Nebensatz mit Beispielsätzen, Stammformen-Trainer zu unregelmäßigen Verben, Konstruktions-Erkennungs-Quiz markiere die Satzkonstruktion, Klausur-Simulation mit Zeitlimit und Wörterbuch-Sperre-Hinweis, Bewertungsraster nach Punktesystem wie in echten Lateinklausuren, Fehleranalyse grammatische Kategorien (ApexCharts Radar), Vokabel-Wiederholung aus bereits bearbeiteten Texten, Interpretations-Fragen zu Kulturkontext, Fortschritt pro Lektion (D3.js Balken), GSAP Text-Analyse-Animationen - USE CASE: Gymnasiasten bereiten sich gezielt auf Lateinklausuren mit Übersetzungsteil vor, Nachhilfelehrer üben mit Schülern die typischen Konstruktionen die in Klausuren am häufigsten abgefragt werden.\n\n5. **#405** — erstelle einen Physik-Übungstest-Generator Mechanik-und-Elektrik - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Kraft/Bewegung/Energie und Stromkreise/Widerstand nach Klassenstufe 7-10, Formel-Anwendungsaufgaben mit Variablen-Eingabe und automatischer Prüfung, Einheiten-Kontrolle warnt bei falscher Einheit, Diagramm-Ableseaufgaben v-t und s-t-Diagramme (ApexCharts), Schaltplan-Erkennungsfragen Reihen- und Parallelschaltung, Rechenweg-Anzeige Schritt für Schritt bei Bedarf, Klassenarbeits-Modus mit Formelsammlung-Sperre-Option, Fehleranalyse nach Themenblock (D3.js Radar), Schwierigkeitsgrad-Anpassung automatisch nach Erfolgsquote, Wiederholungsmodus schwacher Themen, Export Testergebnis-Übersicht, GSAP Diagramm-Einblend-Animationen - USE CASE: Realschüler und Gymnasiasten üben rechenintensive Physikaufgaben mit sofortiger Korrektur, Nachhilfelehrer erkennen ob mechanisches Verständnis oder reine Rechenfehler die Ursache für schlechte Noten sind.\n\n6. **#406** — entwickle einen Chemie-Übungstest-Generator Stöchiometrie-und-Periodensystem - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenauswahl Atombau/Periodensystem/chemische Reaktionsgleichungen/Stöchiometrie nach Klassenstufe, Reaktionsgleichungen-Ausgleichs-Übung mit automatischer Prüfung der Koeffizienten, Molare-Masse-Rechenaufgaben mit Rechenweg, Periodensystem-Zuordnungsfragen Ordnungszahl/Gruppe/Periode, Stoffeigenschaften-Quiz sauer/basisch/neutral, Klassenarbeits-Simulation mit Zeitlimit, Fehleranalyse nach Themenbereich (ApexCharts Balken), Formelsammlung-Kurzreferenz einblendbar, Schwierigkeitsgrad-Stufen leicht bis Oberstufen-Niveau, Fortschrittsverlauf über Testtermine (D3.js Linie), Wiederholungsset aus Fehlern, GSAP Reaktionsgleichungs-Animationen - USE CASE: Schüler üben das Ausgleichen von Reaktionsgleichungen bis es automatisiert sitzt, Nachhilfelehrer bereiten gezielt auf die nächste Chemiearbeit zu Stöchiometrie vor.\n\n7. **#407** — baue einen Biologie-Übungstest-Generator Zellbiologie-Genetik-Ökologie - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Zellaufbau/Vererbungslehre/Ökosysteme nach Klassenstufe 7-10, Beschriftungsaufgaben zu Zell- und Organdiagrammen, Kreuzungsschema-Übungen Mendelsche Regeln mit automatischer Auswertung, Nahrungsketten-Zuordnungsfragen, Fachbegriff-Definitions-Quiz mit Multiple-Choice, Klassenarbeits-Modus mit Zeitlimit, Fehleranalyse nach Themenbereich (ApexCharts Radar), Bildmaterial-basierte Fragen mit Zoom-Funktion, Schwierigkeitsgrad-Anpassung automatisch, Fortschrittsverlauf über Schulhalbjahr (D3.js Linie), Wiederholungsmodus schwacher Themen, GSAP Diagramm-Beschriftungs-Animationen - USE CASE: Schüler festigen Fachbegriffe und Zusammenhänge vor Biologiearbeiten praxisnah, Eltern ohne Bio-Kenntnisse können den Fortschritt trotzdem anhand der Auswertung nachvollziehen.\n\n8. **#408** — programmiere eine 109-Übungstests-Bibliothek fürs Gymnasium NRW - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Testbibliothek mit 109 kategorisierten Übungstests über Mathe/Deutsch/Englisch nach NRW-Kernlehrplan Klasse 5-10, Fach- und Klassenstufen-Filter kombinierbar, Schulform-Kennzeichnung Gymnasium-spezifisches Anforderungsniveau, Zufalls-Test-Zusammenstellung aus dem Pool, Fortschritts-Dashboard über alle 109 Tests (ApexCharts Radial), Eltern-Handbuch-Sektion Erklärung der NRW-Notenstufen und Kernlehrplan-Kompetenzbereiche, Schwachstellen-Report nach Fach und Kompetenzbereich (D3.js Heatmap), Testtermin-Verwaltung wann welcher Test bearbeitet wurde, Druckansicht einzelner Tests als Arbeitsblatt, Lesezeichen-Funktion für Wiederholung, Suchfunktion über alle Testtitel, GSAP Test-Auswahl-Animationen - USE CASE: Eltern in NRW nutzen die Testbibliothek als strukturiertes Nachschlagewerk zur Vorbereitung auf Klassenarbeiten ihrer Kinder, Nachhilfelehrer sparen Vorbereitungszeit durch die fertige kategorisierte Testsammlung nach Kernlehrplan.\n\n9. **#409** — erstelle einen ZP10-Simulator Zentrale-Prüfungen-Klasse-10-NRW - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fachauswahl Mathematik/Deutsch/Englisch entsprechend den echten NRW-Zentralen-Prüfungen, Aufgabenformate wie im Original Grundkurs/Erweiterungskurs-Differenzierung, Zeitlimit exakt wie in der echten Prüfung, Musterlösungen mit Bewertungsschema nach Punkten, Bewertungsraster-Simulation Notenumrechnung aus Prüfungspunkten, Themenschwerpunkt-Statistik welche Themen historisch häufig geprüft wurden (ApexCharts Balken), Übungsklausuren aus Vorjahren-Struktur nachgebildet, Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Countdown-Anzeige bis zum echten Prüfungstermin, Stress-freier Übungsmodus ohne Zeitdruck als Alternative, Fortschritts-Historie über mehrere Simulationsdurchläufe, GSAP Prüfungsstart-Countdown-Animationen - USE CASE: Zehntklässler in NRW bereiten sich unter realistischen Bedingungen auf die Zentralen Prüfungen vor, Eltern verstehen anhand der Bewertungssimulation wie die Punkte in die Abschlussnote einfließen.\n\n10. **#410** — entwickle einen fächerübergreifenden Diagnosetest-Generator Einstufung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurzdiagnose über Mathe/Deutsch/Englisch-Grundkompetenzen bei Schulformwechsel oder Nachhilfebeginn, Adaptiver Fragenpfad wird bei richtigen Antworten schwerer bei falschen leichter, Kompetenzraster-Ergebnis nach Bildungsstandards (ApexCharts Radar), Klassenstufen-Einschätzung Ergebnis-basiert, Lückenidentifikation konkrete Themenbereiche mit Nachholbedarf, Empfehlungs-Report welche Übungstests aus der Bibliothek als nächstes sinnvoll sind, Zeitaufwand pro Fach ca. 15 Minuten, Eltern-verständliche Ergebnis-Zusammenfassung ohne Fachjargon, Vergleich zu Klassenstufen-Durchschnitt anonymisiert, Wiederholung der Diagnose nach mehreren Wochen zum Vergleich, Datenschutz-Hinweis nur Pseudonym keine Schulnamen-Pflicht, GSAP Ergebnis-Enthüllungs-Animationen - USE CASE: Eltern und Nachhilfelehrer verschaffen sich beim Erstkontakt schnell ein objektives Bild über den tatsächlichen Wissensstand eines Kindes, Schulformwechsler erkennen konkret welche Lücken vor dem Wechsel geschlossen werden sollten.\n\n## Kategorie 2: VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)\n\n11. **#411** — erstelle einen Englisch-Vokabeltrainer Spaced-Repetition nach Lehrbuch-Einheiten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelstapel gegliedert nach Lehrwerk-Units und Klassenstufe 5-10, Spaced-Repetition-Algorithmus SM-2-ähnlich mit automatischer Wiedervorlage, Karteikarten-Modus Vorderseite Deutsch/Englisch umschaltbar, Aussprache-Lautschrift-Hinweis pro Vokabel, Tages-Lernziel mit Streak-Zähler, Fälligkeits-Kalender-Heatmap wie viele Karten heute fällig sind (ApexCharts Kalender), Schreibmodus statt nur Erkennen zur Festigung, Themenwortschatz-Listen School/Home/Free-Time separat übbar, Fortschritts-Dashboard gelernte vs fällige Wörter (D3.js Balken), Offline-Nutzung als PWA ohne Internet, Export eigener schwieriger Wörter als Übungsliste, GSAP Karten-Flip-Animationen - USE CASE: Schüler bereiten sich täglich in kurzen Einheiten auf den nächsten Vokabeltest vor, das nach Lehrwerk-Units sortierte System spart Eltern und Nachhilfelehrern die manuelle Karteikarten-Erstellung.\n\n12. **#412** — entwickle einen Französisch-Vokabel-und-Verbtrainer für die Sekundarstufe - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vokabelthemen nach Lehrplan-Kapiteln Famille/École/Loisirs, Verbkonjugations-Trainer présent/passé composé/futur simple mit Endungs-Hervorhebung, Genus-Trainer le/la mit Merkhilfen, Aussprache-Hinweise für typische Fehlerlaute, Karteikasten-Leitner-System mit fünf Fächern, Fortschritts-Dashboard pro Zeitform (ApexCharts Radar), Fehlerkartei häufigster Konjugationsfehler, Diktier-Übung Hörverstehen kurzer Sätze, Themen-Quiz mit Zeitlimit wie in Vokabeltests, Lernstreak-Tracker mit Wochenübersicht, Offline-Modus als installierbare PWA, GSAP Konjugationstabellen-Animationen - USE CASE: Schüler der Sekundarstufe I festigen unregelmäßige Verbformen vor Vokabeltests systematisch, Nachhilfelehrer sehen anhand der Fehlerkartei sofort welche Zeitform noch unsicher ist.\n\n13. **#413** — programmiere einen Latein-Vokabeltrainer mit Stammformen-und-Deklinationstabellen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelstapel nach Lehrbuchlektionen mit lateinischem Grundwortschatz, Stammformen-Abfrage zu unregelmäßigen Verben mit allen vier Formen, Deklinationstabellen-Trainer a-, o-, konsonantische Deklination interaktiv ausfüllbar, Karteikasten-System mit Wiedervorlage nach Fehlerquote, Wortarterkennung-Quiz Substantiv/Verb/Adjektiv aus Kontext, Genus-Merkhilfen zu unregelmäßigen Substantiven, Fortschritts-Dashboard pro Lektion (ApexCharts Balken), Etymologie-Hinweise Herkunft moderner Fremdwörter zur Motivation, Klausur-Vokabelliste automatisch aus kommenden Lektionen zusammengestellt, Lernstreak mit Wochenübersicht, Offline-PWA-Nutzung, GSAP Deklinationstabellen-Animationen - USE CASE: Lateinschüler pauken Vokabeln und Stammformen effizient vor der nächsten Vokabelüberprüfung, das System bereitet gezielt auf den im Klausurtrainer benötigten Grundwortschatz vor.\n\n14. **#414** — baue eine 5-Sprachen-Grammatik-Kompakt-App Englisch-Französisch-Latein-Spanisch-Deutsch - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprachauswahl-Tabs mit kompakten Grammatikübersichten pro Sprache Zeiten/Fälle/Satzbau, Vergleichsansicht gleiche Grammatikkategorie über alle fünf Sprachen nebeneinander, Kurz-Drill pro Regel mit fünf Übungssätzen, Signalwort-Listen zur Zeitform-Erkennung je Sprache, Eselsbrücken-Sammlung zu schwierigen Regeln, Suchfunktion über alle Grammatikthemen sprachübergreifend, Lesezeichen-Funktion häufig nachgeschlagener Regeln, Fortschritts-Tracker welche Regeln als gefestigt markiert wurden (ApexCharts Radar über fünf Sprachen), Druckansicht als kompakte Merkkarte pro Regel, Offline-Nutzung als PWA im Ranzen ohne Internet, Dunkles augenschonendes Lese-Theme, GSAP Sprachwechsel-Übergangs-Animationen - USE CASE: Schüler mit mehreren Fremdsprachen gleichzeitig schlagen Grammatikregeln kompakt an einem Ort nach statt in fünf verschiedenen Heften zu blättern, die Vergleichsansicht hilft typische Verwechslungen zwischen den Sprachen zu vermeiden.\n\n15. **#415** — erstelle einen Spanisch-Vokabeltrainer für das Wahlpflichtfach - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelthemen nach Lehrplan-Einheiten Familia/Colegio/Ciudad, Verbkonjugation presente/pretérito-Trainer mit Endungs-Farbcodierung, Ser-vs-Estar-Unterscheidungs-Übungen mit Erklärung, Karteikasten-Leitner-System, Aussprache-Hinweis zu Betonungsregeln, Fortschritts-Dashboard neue vs gefestigte Vokabeln (ApexCharts Donut), Themen-Quiz mit Zeitlimit, Fehlerkartei häufigster Fehler, Lernstreak-Tracker mit Kalenderansicht, Offline-Modus als PWA, Export Vokabelliste zum Ausdrucken, GSAP Karten-Flip-Animationen - USE CASE: Schüler im Wahlpflichtfach Spanisch bauen systematisch Grundwortschatz auf, Nachhilfelehrer nutzen die App als Ergänzung wenn Spanisch neu als drittes Fremdsprachenfach hinzukommt.\n\n16. **#416** — entwickle einen kombinierten Unregelmäßige-Verben-Trainer Englisch-Französisch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verbliste unregelmäßiger Verben beider Sprachen mit allen Formen, Sprachumschalter Englisch/Französisch/gemischt zum Trainieren, Tipp-Modus Anfangsbuchstabe wird vorgegeben bei Bedarf, Zeitmess-Modus wie schnell werden 20 Verben korrekt genannt, Fehlerstatistik welche Verben am häufigsten falsch sind (ApexCharts Balken), Karteikasten-Wiederholung nach Leitner-Prinzip, Themen-Sets nach Häufigkeit im Schulalphabet sortiert, Highscore-Tracker eigene Bestzeiten, Lernstreak mit Wochenkalender, Offline-Nutzung als PWA, Export Verbliste als Merkzettel, GSAP Formen-Einblend-Animationen - USE CASE: Schüler mit zwei Fremdsprachen gleichzeitig trainieren die verwirrenden unregelmäßigen Verben beider Sprachen getrennt oder gemischt, der Zeitmess-Modus macht aus stumpfem Pauken ein motivierendes Eigenrennen.\n\n17. **#417** — baue einen fächerübergreifenden Leitner-Karteikasten-Vokabeltrainer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eigene Kartenstapel anlegen für jedes Fach und jede Fremdsprache, Fünf-Fächer-Leitner-System mit automatischer Wiedervorlage-Logik, Import eigener Vokabellisten als CSV, Karten-Editor mit Bild-Platzhalter und Beispielsatz, Fälligkeits-Übersicht wie viele Karten pro Fach heute anstehen (ApexCharts Balken), Statistik-Dashboard Erfolgsquote pro Fach (D3.js Radar), Lernstreak-Tracker über alle Stapel hinweg, Suchfunktion über alle eigenen Karten, Teilen-Funktion-Mockup eigene Stapel als Datei exportieren für Mitschüler, Offline-Nutzung als installierbare PWA, Erinnerungs-Hinweis bei fälligen Karten, GSAP Fach-Wechsel-Animationen - USE CASE: Schüler bauen sich ein individuelles fachübergreifendes Karteikasten-System für Vokabeln und Fachbegriffe auf, Nachhilfelehrer erstellen für jeden Schüler passgenaue Stapel statt physischer Karteikarten.\n\n18. **#418** — programmiere einen Hörverstehen-und-Diktat-Trainer für Fremdsprachen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprachauswahl Englisch/Französisch/Latein-Ausspracheübung, Text-to-Speech-Vorlesefunktion mit einstellbarer Geschwindigkeit, Diktier-Modus Schüler tippt Gehörtes mit automatischem Abgleich, Lückentext-Hörverstehen mit Mehrfachauswahl, Wiederholungs-Buttons einzelne Satzabschnitte erneut anhören, Fehleranalyse Rechtschreibung vs Verständnis (ApexCharts Donut), Schwierigkeitsstufen nach Sprechtempo, Themenauswahl passend zu Klassenstufe, Fortschritts-Historie über mehrere Sitzungen (D3.js Linie), Kopfhörer-Empfehlungs-Hinweis für konzentriertes Üben, Offline-Nutzung soweit Sprachausgabe lokal verfügbar, GSAP Audio-Wellenform-Animationen - USE CASE: Schüler üben Hörverstehen gezielt vor mündlichen Prüfungen und Hörverstehens-Klassenarbeiten, das Diktier-Format verbindet Hörtraining direkt mit Rechtschreibfestigung in der Fremdsprache.\n\n19. **#419** — erstelle einen Deutsch-als-Zweitsprache-Vokabeltrainer für Schüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundwortschatz-Stapel nach Alltagsthemen Schule/Familie/Einkaufen für DaZ-Anfänger, Bildkarten-Modus Wort mit Symbolbild statt nur Text, Einfache-Sprache-Erklärungen zu Artikeln der/die/das mit Farbcodierung, Alltagssätze-Bausteinkasten zum Üben einfacher Satzstrukturen, Aussprache-Hilfe mit Text-to-Speech, Karteikasten-Wiederholung nach Erfolgsquote, Fortschritts-Dashboard Wortschatzumfang über Zeit (ApexCharts Flächendiagramm), Elternhinweis-Sektion mehrsprachig DE/EN/weitere für Herkunftssprachen, Lernstreak-Tracker kindgerecht mit Symbolen statt Zahlen, Offline-Nutzung als PWA, Druckansicht Bildkarten für zuhause, GSAP Bildkarten-Einblend-Animationen - USE CASE: Schüler mit Migrationshintergrund bauen niedrigschwellig deutschen Grundwortschatz für den Schulalltag auf, Nachhilfelehrer in DaZ-Fördergruppen nutzen die Bildkarten als visuelle Einstiegshilfe ohne Vorkenntnisse vorauszusetzen.\n\n20. **#420** — entwickle ein Klassenzimmer-Vokabel-Quiz im Team-Wettbewerbs-Modus - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Team-Einteilung mit Teamnamen statt Schülernamen zum Datenschutz, Buzzer-Simulation schnellste richtige Antwort gewinnt Punkte, Fragenkatalog aus aktuellem Vokabelstapel importierbar, Punktestand-Anzeige live als Ranglisten-Tafel (ApexCharts Balken), Rundenmodus mit steigendem Schwierigkeitsgrad, Joker-System ein Tipp pro Team und Runde, Zeitlimit pro Frage mit Countdown-Anzeige, Moderator-Ansicht für Lehrkraft mit Lösungsschlüssel, Rückblick-Statistik welche Themen am schlechtesten abschnitten (D3.js Balken), Exportierbare-Fragenlisten für nächste Runde, Beamer-taugliche Großansicht, GSAP Punktestand-Update-Animationen - USE CASE: Nachhilfelehrer und Lehrkräfte lockern Vokabelwiederholung durch einen spielerischen Klassenwettbewerb auf, das Teamformat motiviert auch zurückhaltendere Schüler ohne einzelne Kinder bloßzustellen.\n\n## Kategorie 3: FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)\n\n21. **#421** — erstelle eine Mathe-Formelsammlung-to-go interaktiv für die Sekundarstufe - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Formel-Datenbank kategorisiert Algebra/Geometrie/Funktionen/Stochastik nach Klassenstufe 5-10, Interaktiver Formel-Rechner Variablen eingeben Ergebnis live berechnen, Herleitungs-Schritte einklappbar pro Formel, Beispielaufgabe mit vollständigem Lösungsweg pro Formel, Verwandte-Formeln-Verlinkung als Themen-Netz (D3.js Force-Directed), Volltextsuche über Formelnamen und Anwendungsfälle, Lesezeichen-Sammlung häufig genutzter Formeln, Geometrie-Visualizer Fläche/Umfang/Volumen mit anpassbaren Maßen (ApexCharts), Einheiten-Umrechner-Zusatztool, Druckansicht als kompakte Formelsammlung fürs Etui, Dunkles augenschonendes Lese-Theme, GSAP Formel-Einblend-Animationen - USE CASE: Schüler schlagen Formeln während der Hausaufgaben sofort mit Rechenbeispiel nach statt im Schulbuch zu blättern, in Klassenarbeiten mit erlaubter Formelsammlung dient die Druckansicht als zugelassenes Hilfsmittel.\n\n22. **#422** — entwickle eine Physik-Formelsammlung mit Experiment-Bezug - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Datenbank Mechanik/Elektrik/Optik/Wärmelehre nach Klassenstufe, Interaktiver Rechner mit Einheitenkontrolle bei Variableneingabe, Verweis auf typisches Schulexperiment pro Formel als Merkhilfe, Diagramm-Vorschau wie sich Größen zueinander verhalten (ApexCharts), Herleitungs-Schritte einklappbar, Einheiten-Umrechner SI-Einheiten und gebräuchliche Alternativen, Formel-Netz Zusammenhänge zwischen Größen (D3.js), Beispielaufgabe mit Lösungsweg pro Formel, Suchfunktion nach Größe oder Formelname, Lesezeichen für Klassenarbeits-relevante Formeln, Druckansicht als Merkblatt, GSAP Formel-Highlight-Animationen - USE CASE: Schüler verstehen Formeln nicht nur auswendig sondern über den Bezug zum Experiment aus dem Unterricht, Nachhilfelehrer nutzen die App als visuelle Gedächtnisstütze zwischen Theorie und Praxisversuch.\n\n23. **#423** — programmiere einen interaktiven Chemie-Periodensystem-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiges Periodensystem als interaktives Raster mit Farbcodierung nach Elementgruppen, Klick auf Element zeigt Steckbrief Ordnungszahl/Masse/Elektronenkonfiguration/Reaktionsfreudigkeit, Elektronenschalen-Visualisierung pro Element (D3.js), Trend-Anzeige Elektronegativität/Atomradius über Perioden und Gruppen (ApexCharts Heatmap), Vergleichsmodus zwei Elemente nebeneinander, Quiz-Modus Element anhand Eigenschaften erraten, Häufige-Verbindungen-Liste pro Element mit Alltagsbezug, Suchfunktion nach Name/Symbol/Ordnungszahl, Klassenstufen-Filter reduzierte Ansicht für Unterstufe, Lesezeichen wichtiger Elemente für Klassenarbeit, Druckansicht Periodensystem als Merkblatt, GSAP Element-Detail-Einblend-Animationen - USE CASE: Schüler erkunden das Periodensystem spielerisch statt es nur auswendig zu lernen, der Vergleichsmodus hilft typische Klassenarbeitsfragen zu Gruppentrends zu verstehen.\n\n24. **#424** — baue einen Geometrie-Formel-Visualizer Flächen-und-Volumen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formsammlung Dreieck/Kreis/Trapez/Quader/Zylinder/Kegel/Kugel nach Klassenstufe, Interaktive Schieberegler für Maße mit Live-Neuberechnung von Fläche/Umfang/Volumen, Visuelle Darstellung der Form mit eingezeichneten Maßen (D3.js SVG), Herleitungs-Erklärung warum die Formel so aussieht mit Zerlegungs-Animation, Übungsaufgaben-Generator zur jeweiligen Form mit Lösungsweg, Einheiten-Umrechner cm/m/mm integriert, Vergleichsmodus zwei Formen nebeneinander, Formel-Merkzettel druckbar, Fortschritts-Tracker welche Formen bereits gefestigt sind (ApexCharts Radial), Suchfunktion nach Formname, Dunkles Lese-Theme, GSAP Form-Zerlegungs-Animationen - USE CASE: Schüler verstehen räumliches Vorstellungsvermögen durch die visuelle Herleitung statt reines Formel-Auswendiglernen, die Schieberegler machen sofort sichtbar wie sich Volumen bei Maßänderung verhält.\n\n25. **#425** — erstelle einen Universal-Einheiten-Umrechner für den Schulalltag - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorien Länge/Fläche/Volumen/Masse/Zeit/Geschwindigkeit/Temperatur nach Lehrplan-Relevanz, Live-Umrechnung bei Eingabe ohne Bestätigungs-Klick, Häufige-Schulaufgaben-Vorlagen km/h in m/s und ähnliche typische Klassenarbeitsumrechnungen, Rechenweg-Anzeige Zwischenschritte der Umrechnung, Merkhilfen-Kärtchen zu Vorsätzen Kilo/Milli/Zenti, Favoriten-Funktion häufig genutzte Umrechnungen anheften, Verlaufshistorie letzte Umrechnungen, Vergleichstabelle SI-Einheiten und gebräuchliche Alternativen, Offline-Nutzung als PWA für unterwegs, Große Bedienelemente auch für jüngere Schüler geeignet, Druckansicht Umrechnungstabellen, GSAP Zahlen-Umrechnungs-Animationen - USE CASE: Schüler prüfen Hausaufgaben-Ergebnisse schnell auf Plausibilität ohne Taschenrechner-Umweg, die Rechenweg-Anzeige hilft die Umrechnungslogik tatsächlich zu verstehen statt nur ein Ergebnis abzulesen.\n\n26. **#426** — entwickle eine Chemie-Formelsammlung mit Stöchiometrie-Rechner - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Datenbank Stoffmenge/Molare-Masse/Konzentration/Reaktionsgleichungen nach Klassenstufe, Interaktiver Stöchiometrie-Rechner Eingabe zweier Größen berechnet die dritte automatisch, Reaktionsgleichungs-Ausgleicher mit Schritt-für-Schritt-Erklärung, Molmassen-Tabelle verknüpft mit Periodensystem-Werten, Beispielaufgabe mit vollständigem Lösungsweg pro Formeltyp, Einheiten-Kontrolle warnt bei Einheitenfehlern, Formel-Netz Zusammenhänge (D3.js), Suchfunktion nach Formelname oder Größe, Lesezeichen klausurrelevanter Formeln, Druckansicht als Merkblatt, Dunkles Lese-Theme, GSAP Rechenschritt-Animationen - USE CASE: Oberstufenschüler lösen Stöchiometrie-Aufgaben nachvollziehbar statt nur das Endergebnis einzugeben, die verknüpfte Molmassen-Tabelle erspart den Griff zum separaten Periodensystem.\n\n27. **#427** — baue ein Mathe-Nachschlagewerk Ableitungen-und-Integrale für die Oberstufe - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ableitungsregeln-Katalog Potenz/Produkt/Ketten/Quotientenregel mit Beispielen, Integrationsregeln-Katalog Grundintegrale und partielle Integration, Interaktiver Funktionsgraph zeigt Funktion und Ableitung parallel (ApexCharts/D3.js), Schritt-für-Schritt-Löser bei eingegebener Funktion Ableitung anzeigen, Kurvendiskussion-Checkliste Extrempunkte/Wendepunkte/Monotonie, Anwendungsaufgaben-Beispiele Extremwertprobleme mit Lösungsweg, Formel-Suche nach Funktionstyp, Übungsgenerator einfache Ableitungsaufgaben mit Sofort-Prüfung, Lesezeichen abiturrelevanter Regeln, Druckansicht als Abitur-Merkblatt, Dunkles Lese-Theme für Lernabende, GSAP Funktionsgraph-Zeichen-Animationen - USE CASE: Oberstufenschüler bereiten sich mit visualisierter Kurvendiskussion auf Analysis-Klausuren vor, die parallele Graph-Ansicht macht den Zusammenhang zwischen Funktion und Ableitung intuitiv verständlich.\n\n28. **#428** — programmiere ein Physik-Nachschlagewerk Elektrizitätslehre-Rechner - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Katalog Ohmsches-Gesetz/Leistung/Reihen-und-Parallelschaltung nach Klassenstufe, Interaktiver Schaltkreis-Rechner Widerstand/Spannung/Stromstärke gegenseitig berechenbar, Schaltplan-Visualisierung einfacher Stromkreise (D3.js SVG), Gesamtwiderstands-Rechner für mehrere Widerstände in Reihe oder parallel, Beispielaufgabe mit Lösungsweg pro Formeltyp, Einheiten-Kontrolle Ampere/Volt/Ohm, Formel-Netz Zusammenhänge zwischen elektrischen Größen (D3.js), Suchfunktion nach Formel oder Größe, Lesezeichen klassenarbeitsrelevanter Formeln, Druckansicht als Merkblatt, Dunkles Lese-Theme, GSAP Schaltkreis-Stromfluss-Animationen - USE CASE: Schüler berechnen Schaltkreis-Aufgaben nachvollziehbar mit visueller Schaltplan-Unterstützung, das Nachschlagewerk dient als schnelle Kontrolle bei Hausaufgaben zur Elektrizitätslehre.\n\n29. **#429** — erstelle ein Biologie-Fachbegriffs-Lexikon interaktiv - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbares Lexikon Fachbegriffe nach Themenbereich Zellbiologie/Genetik/Ökologie/Anatomie, Begriffs-Erklärung in einfacher Sprache mit Fachbegriff-Definition parallel, Verwandte-Begriffe-Verlinkung als Themen-Netz (D3.js Force-Directed), Bildkarten-Diagramme zu komplexen Prozessen Fotosynthese/Zellteilung, Quiz-Modus Begriff der Definition zuordnen, Klassenstufen-Filter reduzierter Wortschatz für Unterstufe, Lesezeichen für Klassenarbeits-relevante Begriffe, Fortschritts-Tracker gelernte Begriffe (ApexCharts Radial), Suchfunktion mit Autovervollständigung, Druckansicht als Glossar, Dunkles Lese-Theme, GSAP Begriffs-Netz-Animationen - USE CASE: Schüler schlagen unbekannte Fachbegriffe aus dem Biologieunterricht sofort verständlich nach, das Begriffs-Netz zeigt Zusammenhänge die im Schulbuch oft isoliert dargestellt werden.\n\n30. **#430** — entwickle ein Mathe-Nachschlagewerk Dreisatz-und-Prozentrechnung für die Unterstufe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erklär-Sektionen proportionaler und umgekehrt proportionaler Dreisatz mit Alltagsbeispielen, Prozentrechnung-Grundformen Grundwert/Prozentsatz/Prozentwert interaktiv berechenbar, Schritt-für-Schritt-Rechenweg-Anzeige bei jeder Aufgabe, Alltagsbeispiele Rabatt/Zinsen/Mischungsverhältnis zur Veranschaulichung, Übungsgenerator mit Sofort-Prüfung nach Schwierigkeitsgrad, Fehleranalyse häufigster Rechenfehler (ApexCharts Balken), Visualisierung Kreisdiagramm für Prozentanteile (ApexCharts Donut), Merksätze-Kärtchen zu Signalwörtern in Textaufgaben, Fortschritts-Tracker über Übungseinheiten, Druckansicht als Merkblatt für Klassenarbeiten, Große kindgerechte Bedienelemente, GSAP Rechenschritt-Animationen - USE CASE: Schüler der 5. und 6. Klasse verstehen Dreisatz und Prozentrechnung über konkrete Alltagsbeispiele statt abstrakter Formeln, Eltern ohne Lehrerausbildung können mit den Erklär-Sektionen selbst beim Üben helfen.\n\n## Kategorie 4: HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)\n\n31. **#431** — erstelle einen Hausaufgaben-Tracker für Schüler pro Fach - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fächerliste mit Farbcodierung und Aufgaben-Eintrag pro Fach, Fälligkeitsdatum mit Erinnerungs-Countdown, Aufgaben-Kategorien schriftlich/mündlich/Vorbereitung, Erledigt-Abhaken mit Fortschrittsbalken pro Tag, Wochenübersicht als Kalenderansicht, Zeitaufwand-Schätzung vs tatsächliche Zeit pro Aufgabe (ApexCharts Balken), Wiederkehrende-Aufgaben-Vorlage für Vokabellernen, Prioritäten-Kennzeichnung dringend/normal, Eltern-Ansicht erledigt/offen ohne Detaileinsicht in Inhalte, Statistik erledigte Aufgaben pro Fach über Wochen (D3.js Linie), Offline-Nutzung als installierbare PWA, GSAP Abhak-Animationen - USE CASE: Schüler behalten bei mehreren Fächern gleichzeitig den Überblick über offene Hausaufgaben, Eltern sehen auf einen Blick ob Aufgaben erledigt sind ohne in jedes Schulheft schauen zu müssen.\n\n32. **#432** — entwickle eine Stundenplan-App mit Fächerfarben für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochenraster-Stundenplan mit frei wählbaren Fächerfarben, Raum- und Lehrer-Kürzel-Eintrag pro Stunde, Vertretungsplan-Hinweis-Eintrag manuell bei Änderungen, Fächer-übergreifende-Materialliste was muss mitgebracht werden, Tagesansicht für unterwegs mit nächster-Stunde-Anzeige, Statistik Unterrichtsstunden pro Fach pro Woche (ApexCharts Donut), AG-und-Nachmittagsangebote-Sektion separat eintragbar, Ferienkalender-Integration mit Countdown, Export Stundenplan als druckbare Übersicht, Wiederholungs-Vorlage für neues Schulhalbjahr, Offline-Nutzung als PWA, GSAP Stunden-Wechsel-Hervorhebungs-Animationen - USE CASE: Schüler behalten bei wechselnden Räumen und Vertretungsstunden den Überblick über den aktuellen Tag, die Materialliste verhindert vergessene Schulbücher am Morgen.\n\n33. **#433** — programmiere einen Lernplan-Generator rund um Klausurtermine - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe kommender Klausurtermine mit Fach und Themenumfang, Automatische Rückwärtsplanung Lerneinheiten bis zum Prüfungstag, Spaced-Repetition-Prinzip Themen mehrfach mit Abstand wiederholen statt Bulimie-Lernen, Tages-Lernpaket-Vorschlag mit realistischem Zeitumfang, Kalenderansicht aller anstehenden Klausuren fächerübergreifend, Pufferzeiten-Einplanung für Krankheit oder Verzögerung, Fortschritts-Tracking gegen Plan-Soll (ApexCharts Balken), Überlastungs-Warnung bei zu vielen Klausuren in kurzer Zeit, Anpassungs-Funktion bei verschobenen Terminen, Motivations-Countdown pro Klausur, Export Lernplan als PDF fürs Kinderzimmer, GSAP Zeitleisten-Aufbau-Animationen - USE CASE: Schüler vermeiden Last-Minute-Stress durch frühzeitig verteilte Lerneinheiten statt Nacht-vor-der-Klausur-Pauken, Eltern erkennen anhand der Überlastungs-Warnung wenn zu viele Klausuren in einer Woche zusammenfallen.\n\n34. **#434** — baue ein Fach-Zeit-Balance-Dashboard für die Lernzeit-Verteilung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeiterfassung pro Fach über Stoppuhr oder manuelle Eingabe, Wochenübersicht Lernzeit-Verteilung nach Fach (ApexCharts Stacked Bar), Soll-Ist-Vergleich geplante vs tatsächlich investierte Zeit, Vernachlässigte-Fächer-Warnung bei sehr ungleicher Verteilung, Notentrend-Verknüpfung zeigt ob mehr Zeit sich in besseren Noten niederschlägt (D3.js Streudiagramm), Pausenzeiten-Empfehlung nach Pomodoro-Prinzip eingebaut, Tagesrückblick was wurde heute gelernt, Wochenvergleich über mehrere Wochen (ApexCharts Linie), Ziel-Vorgabe Minuten pro Fach pro Woche, Motivations-Badges bei erreichten Zielen, Offline-Nutzung als PWA, GSAP Balken-Update-Animationen - USE CASE: Schüler erkennen objektiv ob ein schwaches Fach tatsächlich zu wenig Lernzeit bekommt, Eltern führen datenbasierte statt gefühlsbasierte Gespräche über die Zeitverteilung beim Lernen.\n\n35. **#435** — erstelle einen Wochenrückblick-Lernorganizer für Schüler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wöchentliche Reflexions-Vorlage was lief gut/was war schwierig pro Fach, Erledigte-Aufgaben-Rückblick automatisch aus Hausaufgaben-Tracker übernommen, Notenverlauf-Eintrag mit Selbsteinschätzung vor der nächsten Arbeit, Stimmungs-Tracker einfache Symbol-Auswahl wie fühlte sich die Woche an, Ziel-Setzung für die kommende Woche pro Fach, Fortschritts-Vergleich über mehrere Wochen (ApexCharts Linie), Erfolgs-Sammlung kleine Erfolge werden gesammelt und sichtbar gemacht, Elternteilbare-Zusammenfassung optional freigebbar, Erinnerungs-Funktion sonntags Rückblick auszufüllen, Export Wochenrückblick als PDF, Kindgerechte Symbolsprache statt reiner Textfelder, GSAP Wochenkarten-Umblätter-Animationen - USE CASE: Schüler entwickeln durch regelmäßige Selbstreflexion ein besseres Gefühl für den eigenen Lernfortschritt, die Stimmungs-Tracking-Komponente hilft auch emotionale Belastung durch Schulstress früh sichtbar zu machen.\n\n36. **#436** — entwickle einen Klausurenplan-Kalender mit Countdown-Anzeige - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kalenderansicht aller Klausuren und Tests im Schulhalbjahr, Countdown-Kacheln pro anstehender Prüfung mit verbleibenden Tagen, Themen-Notiz-Feld pro Klausur was wird geprüft, Klausurdichte-Warnung bei mehreren Prüfungen in derselben Woche, Verknüpfung zum Lernplan-Generator für automatische Vorbereitung, Notenrückmeldung nach der Klausur zur Nachverfolgung (ApexCharts Linie), Fächerübergreifende Ansicht Ampel-Farben je nach Nähe des Termins, Halbjahres-Übersicht alle Klausurtermine auf einen Blick, Export als druckbarer Kalender fürs Zimmer, Erinnerungs-Push-Mockup einen Tag vorher, Feiertags-und-Ferien-Integration, GSAP Countdown-Ablauf-Animationen - USE CASE: Schüler verlieren bei vielen Fächern nicht den Überblick über anstehende Klassenarbeiten, die Klausurdichte-Warnung hilft frühzeitig zu erkennen wenn eine Woche besonders anstrengend wird.\n\n37. **#437** — baue ein digitales Hausaufgabenheft mit Eltern-Einsicht - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tägliche Hausaufgaben-Einträge pro Fach wie im klassischen Hausaufgabenheft, Unterschrift-Simulation Eltern bestätigen digital Kenntnisnahme statt Papierunterschrift, Erledigt-Status mit Zeitstempel, Foto-Platzhalter-Hinweis bewusst ohne echten Foto-Upload zum Schutz der Privatsphäre, Wochenübersicht kompakt für schnellen Elternblick, Vergessene-Aufgaben-Historie zur Selbstreflexion, Statistik erledigte vs vergessene Aufgaben (ApexCharts Balken), Erinnerungsfunktion für wiederkehrende Aufgaben, Export als PDF für Elterngespräche, Mehrkind-Umschaltung getrennte Profile ohne Klarnamen nur Vornamen-Kürzel, Offline-Nutzung als PWA, GSAP Tagesabschluss-Animationen - USE CASE: Familien mit Grundschulkindern digitalisieren das klassische Hausaufgabenheft ohne die gewohnte Eltern-Kontrollfunktion zu verlieren, Lehrkräfte können bei Bedarf denselben Überblick über Erledigungsquoten nutzen.\n\n38. **#438** — programmiere einen Referats-und-Projektplaner für die Schule - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Projekt-Anlage mit Thema/Fach/Abgabetermin, Meilenstein-Planer Recherche/Gliederung/Ausarbeitung/Probevortrag mit Teilfristen, Quellen-Sammlung mit einfacher Zitationsvorlage, Foliengliederungs-Vorlage für Präsentationen, Fortschrittsbalken pro Meilenstein (ApexCharts Radial), Probevortrag-Timer mit Zeitlimit-Kontrolle, Feedback-Notizen nach Probevortrag von Eltern oder Nachhilfelehrer, Checkliste Materialien für den Vortragstag, Gruppenarbeit-Modus Aufgabenverteilung bei Partnerreferaten, Erinnerungs-Countdown bis zur Abgabe, Export Gliederung als PDF, GSAP Meilenstein-Fortschritts-Animationen - USE CASE: Schüler strukturieren größere Referate und Projektarbeiten in überschaubare Etappen statt alles kurz vorher zu erledigen, der Probevortrag-Timer hilft die vorgegebene Redezeit realistisch einzuschätzen.\n\n39. **#439** — erstelle einen Lernplan-Generator für Nachprüfung-und-Nachschreibetermin - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe des Nachschreibetermins und der verpassten Themenbereiche, Intensiv-Lernplan mit täglichen Etappen bis zum Termin, Prioritäten-Sortierung schwierigste Themen zuerst bei mehr Zeitpuffer, Verknüpfung zu passenden Übungstests aus der Testbibliothek, Stress-Reduktions-Hinweise bei besonders kurzer Vorbereitungszeit, Fortschritts-Tracking gegen Plan-Soll (ApexCharts Balken), Themen-Checkliste zum Abhaken, Elternhinweis-Sektion wie unterstützend statt zusätzlich Druck aufgebaut werden kann, Motivations-Countdown, Export Lernplan als PDF, Erinnerungsfunktion für Lerneinheiten, GSAP Zeitplan-Kompressions-Animationen - USE CASE: Schüler nach Krankheit oder verpasster Klassenarbeit organisieren die Nachholphase strukturiert statt überfordert zu sein, Nachhilfelehrer erstellen in kurzer Zeit einen realistischen Intensivplan für die verbleibenden Tage.\n\n40. **#440** — entwickle eine Multi-Fach-Prioritäten-Matrix für Schüler-Lernorganisation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Eisenhower-Matrix-Prinzip angepasst für Schulaufgaben dringend/wichtig in vier Quadranten, Drag-and-Drop-Einordnung von Aufgaben in die Matrix, Automatische Vorsortierung nach Fälligkeitsdatum als Vorschlag, Tagesplan-Ableitung aus der Matrix was wird heute zuerst erledigt, Fächer-Farbcodierung innerhalb der Matrix, Wochenrückblick wie viele wichtige Aufgaben rechtzeitig erledigt wurden (ApexCharts Balken), Überforderungs-Warnung zu viele dringend-wichtige Aufgaben gleichzeitig, Erklär-Tutorial für Schüler was die Matrix bedeutet mit Beispielen, Erinnerungsfunktion für liegengebliebene wichtige Aufgaben, Export Tagesplan als Checkliste, Kindgerechte Vereinfachung für jüngere Nutzer, GSAP Quadranten-Verschiebungs-Animationen - USE CASE: Ältere Schüler lernen frühzeitig eine Priorisierungsmethode die auch später im Studium und Beruf nützlich bleibt, Nachhilfelehrer nutzen die Matrix um Schülern bei Prokrastination sichtbar zu machen was wirklich zuerst dran ist.\n\n## Kategorie 5: PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)\n\n41. **#441** — erstelle eine Prüfungsangst-Atemübungs-App für vor der Klausur - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Geführte Atemübungen 4-7-8-Technik und Box-Breathing mit visueller Kreis-Animation, Countdown-Timer bis Klausurbeginn mit letzter-Minute-Beruhigungsübung, Kurzentspannungs-Sequenzen 2/5/10-Minuten wählbar je nach verfügbarer Zeit, Körperscan-Anleitung zur Anspannungs-Lockerung vor der Prüfung, Positive-Affirmationen-Karten alters- und situationsgerecht formuliert, Herzfrequenz-Beruhigungs-Visualisierung Mock ohne echte Sensorik, Stimmungs-Check vorher-nachher mit einfacher Skala, Verlaufsstatistik genutzte Übungen über Zeit (ApexCharts Balken), Offline-Nutzung ohne Internet direkt vor der Klausur im Klassenzimmer, Keine Datenerhebung außer lokal gespeicherter Stimmungswerte, Erinnerungsfunktion am Klausurtag, GSAP Atem-Kreis-Animationen - USE CASE: Schüler mit Prüfungsangst nutzen die App in den letzten Minuten vor einer Klausur zur akuten Beruhigung, Nachhilfelehrer empfehlen die Übungen als niedrigschwelligen Einstieg in Entspannungstechniken ohne therapeutischen Anspruch.\n\n42. **#442** — entwickle einen Pomodoro-Lerntimer speziell für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassisches Pomodoro-Prinzip 25-Minuten-Lernblöcke mit 5-Minuten-Pausen kindgerecht erklärt, Anpassbare Intervalllängen je nach Alter und Konzentrationsfähigkeit, Fach-Zuordnung pro Pomodoro-Block, Pausenaktivitäts-Vorschläge Bewegung statt Bildschirmzeit, Tagesstatistik abgeschlossene Lernblöcke pro Fach (ApexCharts Balken), Fokus-Modus blendet Ablenkungshinweise ein bei zu häufigem Abbrechen, Belohnungs-System kleine Erfolge nach X abgeschlossenen Blöcken, Wochenübersicht Lernblöcke im Verlauf (D3.js Kalender-Heatmap), Sanfter Ton statt schrillem Alarm zum Pausenende, Offline-Nutzung als PWA, Erklär-Tutorial für Eltern und Schüler zur Methode, GSAP Timer-Fortschritts-Animationen - USE CASE: Schüler mit Konzentrationsschwierigkeiten strukturieren Lernzeit in überschaubare Etappen statt endloser unstrukturierter Lernabende, die kindgerechte Erklärung macht die Methode auch für Grundschüler zugänglich.\n\n43. **#443** — programmiere einen Active-Recall-und-Spaced-Repetition-Coach - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Erklär-Modul was Active Recall ist mit einfachen Schul-Beispielen, Selbsttest-Generator eigene Lernkarten statt reines Wiederlesen von Notizen, Spaced-Repetition-Kalender zeigt wann welches Thema wiederholt werden sollte, Vergleichs-Demo Wiederlesen vs aktives Abfragen mit simulierten Ergebnissen, Eigene-Themenkarten-Erstellung fächerübergreifend, Fälligkeits-Übersicht wie im Vokabeltrainer aber für beliebige Lerninhalte, Erfolgs-Statistik wie sich Erinnerungsquote über Wiederholungen verbessert (ApexCharts Linie), Lerntechnik-Bibliothek weitere Methoden kurz erklärt, Motivations-Hinweise warum Pauken am Vorabend weniger effektiv ist, Offline-Nutzung als PWA, Kindgerechte Sprache in Erklärungen, GSAP Erinnerungskurven-Animationen - USE CASE: Schüler lernen eine wissenschaftlich fundierte Lerntechnik kennen statt nur wiederholt Texte durchzulesen, Nachhilfelehrer vermitteln damit eine Methode die über die aktuelle Klassenarbeit hinaus für die gesamte Schulzeit nützlich bleibt.\n\n44. **#444** — baue ein Mindmapping-Tool für Schüler zur Lernstoff-Visualisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale-Themen-Erstellung mit frei verschiebbaren Ästen und Unterästen, Farbcodierung nach Fach oder Themenbereich, Bild-Symbol-Einfügung als Merkhilfe pro Ast, Vorlagen-Bibliothek fertige Mindmap-Strukturen für typische Schulthemen, Verknüpfungs-Linien zwischen entfernten Ästen für Querverbindungen, Export als Bild für Klausurvorbereitung zum Ausdrucken, Zoombare Ansicht bei großen Mindmaps (D3.js Zoom), Zusammenarbeits-Hinweis-Mockup für Gruppenarbeiten, Undo-Redo-Funktion, Automatisches Speichern während der Bearbeitung, Anfänger-Tutorial wie man eine gute Mindmap aufbaut, GSAP Ast-Erscheinungs-Animationen - USE CASE: Schüler strukturieren komplexe Themen wie Geschichtsepochen oder biologische Zusammenhänge visuell statt in linearen Textnotizen, das Werkzeug eignet sich besonders für visuelle Lerntypen die mit reinen Textzusammenfassungen wenig anfangen können.\n\n45. **#445** — erstelle einen Motivations-Tracker mit Belohnungssystem für Lernziele - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eigene Lernziele definieren mit realistischem Zeitrahmen, Fortschritts-Balken pro Ziel mit Teilschritten, Sammel-Punkte-System für erledigte Lerneinheiten statt Geldwert-Belohnungen, Abzeichen-Galerie freischaltbare Symbole bei Meilensteinen, Streak-Anzeige aufeinanderfolgende Lerntage, Selbstgewählte-Belohnungen eintragbar z.B. Freizeitaktivität statt vorgegebener Konsum-Anreize, Wochenrückblick erreichte vs verpasste Ziele (ApexCharts Balken), Rückschlags-freundliche Sprache bei verpassten Zielen ohne Bestrafungslogik, Eltern-Einsicht optional zum gemeinsamen Feiern von Erfolgen, Erinnerungsfunktion für gesetzte Ziele, Altersgerechtes buntes aber nicht überreizendes Design, GSAP Abzeichen-Freischalt-Animationen - USE CASE: Schüler bleiben über längere Zeiträume wie ein ganzes Schulhalbjahr motiviert an selbstgesetzten Lernzielen dran, das punktebasierte statt geldbasierte System fördert intrinsische Motivation ohne Konsumdruck.\n\n46. **#446** — entwickle eine Entspannungs-und-Achtsamkeits-App vor Prüfungen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurze geführte Achtsamkeitsübungen 3-5 Minuten altersgerecht formuliert, Progressive-Muskelentspannung-Anleitung Schritt für Schritt, Visualisierungs-Übung sicherer-Ort-Vorstellung vor stressigen Situationen, Gedanken-Stopp-Technik-Anleitung bei Grübelschleifen vor der Klausur, Tages-Stimmungs-Tagebuch mit einfachen Emoji-Symbolen, Sanfte Hintergrundklänge-Auswahl Natur/Stille, Verlaufsstatistik genutzte Übungen und Stimmungstrend (ApexCharts Linie), Eltern-Info-Sektion Anzeichen von echtem Prüfungsangst-Leidensdruck erkennen mit Hinweis auf professionelle Hilfe, Keine Registrierung nötig komplett lokal gespeichert, Offline-Nutzung im Klassenzimmer, Ruhiges nicht-reizüberflutendes Design, GSAP sanfte Übergangs-Animationen - USE CASE: Schüler bauen mit kurzen täglichen Übungen allgemeine Stressresilienz auf statt nur akut vor der Klausur zu reagieren, die Eltern-Info-Sektion hilft ernsthafte Angstsymptome von normaler Prüfungsnervosität zu unterscheiden.\n\n47. **#447** — programmiere einen interaktiven Lerntechniken-Explainer für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Methoden-Bibliothek Cornell-Methode/Loci-Methode/Karteikasten/Mindmapping/Pomodoro mit kurzen Erklärvideos-Platzhaltern, Interaktives Ausprobieren jeder Methode an einem Beispielthema direkt in der App, Eignungs-Test welche Methode passt zu meinem Lerntyp mit Auswertung, Vergleichstabelle Vor-und-Nachteile pro Methode, Schritt-für-Schritt-Anleitungen mit Beispielen aus echten Schulfächern, Erfolgsgeschichten-Sektion wie andere Schüler die Methode nutzen, Fortschritts-Tracker welche Methoden bereits ausprobiert wurden (ApexCharts Radial), Quiz zum Verständnis-Check nach jeder Methode, Empfehlungs-Kombination mehrere Methoden sinnvoll kombinieren, Druckversion Methoden-Spickzettel, GSAP Methoden-Karten-Umblätter-Animationen - USE CASE: Schüler entdecken durch praktisches Ausprobieren welche Lerntechnik tatsächlich zu ihnen passt statt nur davon zu hören, Nachhilfelehrer nutzen die App als strukturierte Einführung in Lernstrategien zu Beginn der Zusammenarbeit.\n\n48. **#448** — baue eine Prüfungssimulation mit Stressbewältigungs-Feedback - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Realistische Klausur-Simulation mit Zeitdruck und typischer Prüfungsatmosphäre-Beschreibung, Vor-der-Simulation-Atemübung zur Einstimmung, Stimmungs-Check vor und nach der Simulation, Selbsteinschätzungs-Fragebogen wie sicher fühlte sich der Schüler während der Bearbeitung, Verzögerungs-Erkennung bei welchen Aufgabentypen entsteht Stress-Zeitverlust, Nachbesprechungs-Modul was lief gut/was war stressig mit konkreten Tipps, Wiederholungs-Simulationen zum Vergleich der Stress-Entwicklung über Zeit (ApexCharts Linie), Ruhepausen-Simulation eingebaute kurze Verschnaufpause während längerer Tests, Positive-Verstärkung nach erfolgreicher Bewältigung, Elternhinweis nur bei wiederholt sehr hohem Stresslevel sichtbar, Keine echten Noten nur Übungscharakter betont, GSAP Simulations-Umgebungs-Animationen - USE CASE: Schüler mit ausgeprägter Prüfungsangst gewöhnen sich schrittweise an die Prüfungssituation in einem sicheren Rahmen, Nachhilfelehrer erkennen anhand der Verzögerungs-Erkennung welche Aufgabentypen besonders Stress auslösen.\n\n49. **#449** — erstelle einen Konzentrations-Trainer mit Fokus-Übungen für Schüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze Konzentrationsspiele Zahlen-Merken/Muster-Erkennen/Reaktionstest altersgerecht, Trainingsplan mit steigender Schwierigkeit über mehrere Wochen, Ablenkungs-Simulation Übungen bewusst mit Störgeräuschen zum Fokus-Training, Fortschritts-Statistik Konzentrationsspanne über Zeit (ApexCharts Linie), Vergleich zu eigenen Bestwerten als Motivation statt Vergleich mit anderen Kindern, Kurze-Pausen-Empfehlung zwischen Übungseinheiten, Bildschirmzeit-Begrenzungs-Hinweis eingebaute Erinnerung nach 15 Minuten Pause zu machen, Eltern-Info-Sektion wie Konzentrationsfähigkeit sich altersgerecht entwickelt, Kindgerechtes farbenfrohes aber ruhiges Design, Offline-Nutzung als PWA, Keine Werbung und keine Suchtmechaniken bewusst vermieden, GSAP Übungs-Erfolgs-Animationen - USE CASE: Schüler mit Konzentrationsschwierigkeiten trainieren spielerisch ihre Fokusfähigkeit in kurzen sicheren Einheiten, das bewusste Vermeiden von Suchtmechaniken unterscheidet die App von kommerziellen Gehirnjogging-Apps mit Dauernutzungs-Anreiz.\n\n50. **#450** — entwickle einen Positive-Selbstgespräch-Coach vor Prüfungen für Schüler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bibliothek positiver alters- und situationsgerechter Affirmationen gegen negative Gedankenspiralen, Gedanken-Umformulierungs-Übung negativer Gedanke wird gemeinsam in konstruktiven Gedanken umgewandelt, Erfolgstagebuch vergangene gemeisterte Herausforderungen als Erinnerung an eigene Fähigkeiten, Tages-Mantra-Auswahl vor der Klausur, Kurzes Reflexions-Ritual nach jeder Prüfung unabhängig vom Ergebnis, Fortschritts-Sammlung gesammelter positiver Selbstgespräche über Zeit, Eltern-Leitfaden wie man Kinder unterstützend statt bewertend anspricht, Kindgerechte einfache Sprache ohne psychologischen Fachjargon, Keine Bewertung oder Vergleich mit anderen eingebaut, Offline-Nutzung ohne Internet direkt im Klassenzimmer, Ruhiges Design ohne Reizüberflutung, GSAP sanfte Text-Einblend-Animationen - USE CASE: Schüler mit negativem inneren Dialog vor Prüfungen lernen eine konstruktivere Selbstansprache, das Erfolgstagebuch macht sichtbar dass bereits viele Herausforderungen erfolgreich gemeistert wurden.\n\n## Kategorie 6: ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)\n\n51. **#451** — erstelle ein Eltern-Fortschrittsdashboard zum Lernstand des Kindes - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übersicht Notentrend pro Fach über das Schulhalbjahr (ApexCharts Linie), Lernzeit-Zusammenfassung aus Hausaufgaben- und Lernplan-Tracker automatisch übernommen, Stärken-und-Schwächen-Radar pro Fach (D3.js Radar), Bevorstehende-Klausuren-Übersicht mit Vorbereitungsstand, Erfolgs-Highlights positive Entwicklungen hervorgehoben statt nur Probleme, Wochenzusammenfassung als kurzer verständlicher Textbericht automatisch generiert, Vergleich zu eigenen Vorperioden nicht zu anderen Kindern, Gesprächsleitfaden-Vorschläge für konstruktive Elterngespräche, Datenschutz-Hinweis alle Daten bleiben lokal auf dem Familiengerät, Mehrkind-Umschaltung mit getrennten Profilen, Export als PDF für Elternabend, GSAP Dashboard-Aufbau-Animationen - USE CASE: Eltern verschaffen sich einen sachlichen Überblick über den Lernfortschritt ihres Kindes ohne täglich nachfragen zu müssen, die Erfolgs-Highlights helfen das Gespräch positiv statt nur problemorientiert zu führen.\n\n52. **#452** — entwickle ein Eltern-Kind-Hausaufgaben-Check-Tool für gemeinsames Arbeiten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsame Checkliste Hausaufgaben durchgehen mit Ampel-Status pro Aufgabe, Verständnis-Check-Fragen die Eltern dem Kind stellen können ohne selbst Fachexperte zu sein, Erklär-Hinweise zu Fachbegriffen für Eltern die den Schulstoff nicht mehr präsent haben, Zeitschätzung wie lange die gemeinsame Kontrolle dauern sollte, Positive-Rückmeldungs-Vorlagen wie man Fehler konstruktiv anspricht, Fortschritts-Historie über Wochen wie oft gemeinsame Kontrolle stattfand (ApexCharts Balken), Selbstständigkeits-Tracker zunehmend eigenständige Erledigung als Ziel sichtbar machen, Erinnerungsfunktion für die gemeinsame Check-Zeit, Kindgerechte Ansicht parallel zur Eltern-Ansicht, Offline-Nutzung als PWA, GSAP Check-Abhak-Animationen - USE CASE: Eltern ohne Fachkenntnisse im jeweiligen Schulfach begleiten die Hausaufgabenkontrolle trotzdem strukturiert, der Selbstständigkeits-Tracker macht sichtbar wenn das Kind schrittweise weniger Begleitung braucht.\n\n53. **#453** — programmiere ein Kommunikationslog zwischen Eltern und Nachhilfelehrer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Chronologischer Nachrichtenverlauf zu einzelnen Nachhilfestunden, Stundenbericht-Vorlage vom Nachhilfelehrer Thema/Fortschritt/nächste Schritte, Fragen-Sektion für Eltern zwischen den Stunden, Terminübersicht kommende Nachhilfestunden mit Bestätigungs-Status, Lernziel-Verlauf gemeinsam vereinbarte Ziele mit Fortschrittsstatus, Notenentwicklung-Verknüpfung zur Erfolgskontrolle (ApexCharts Linie), Zahlungsstatus-Übersicht für Transparenz bei Stundenpaketen, Feedback-Formular nach jeder Stunde beidseitig, Dateiaustausch-Bereich-Mockup für Übungsmaterial, Datenschutz-bewusst nur notwendige Informationen keine sensiblen Schulnoten-Details ohne Zustimmung, Erinnerungsfunktion für anstehende Termine, GSAP Nachrichtenverlauf-Einblend-Animationen - USE CASE: Eltern und Nachhilfelehrer halten Absprachen und Fortschritte nachvollziehbar fest statt sich auf mündliche Erinnerung zu verlassen, Transparenz über Lernziele und Zahlungsstatus vermeidet Missverständnisse über die Zusammenarbeit.\n\n54. **#454** — baue ein altersgerechtes Belohnungssystem für erledigte Lernziele - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsam mit Eltern definierte Lernziele mit fairen erreichbaren Etappen, Sticker-und-Abzeichen-Sammlung statt monetärer Belohnung im Vordergrund, Punktekonto für erledigte Lerneinheiten das in selbstgewählte kleine Belohnungen eingetauscht werden kann, Familien-Belohnungs-Katalog gemeinsam erstellt Ausflug/Spielzeit/Wunschessen, Fortschritts-Anzeige kindgerecht mit Symbolen statt Zahlen für jüngere Kinder, Eltern-Kind-gemeinsame-Freigabe für Belohnungen als Ritual, Wochenrückblick als gemeinsames Familienritual, Verlaufsstatistik erreichte Ziele über Zeit (ApexCharts Balken), Fairness-Hinweise Belohnung an Anstrengung statt nur an Note koppeln, Keine Bestrafungs-Logik bei verpassten Zielen nur Ermutigung, Buntes aber nicht reizüberflutendes Design, GSAP Belohnungs-Freischalt-Animationen - USE CASE: Familien gestalten Motivation für Lernziele gemeinsam statt einseitig vorzugeben, die Kopplung an Anstrengung statt nur an Noten vermeidet Frustration bei Kindern die sich trotz Mühe schwertun.\n\n55. **#455** — erstelle einen automatischen Eltern-Wochenbericht-Generator zum Lernfortschritt - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Automatische Zusammenfassung aus Hausaufgaben-, Lernplan- und Übungstest-Daten der Woche, Verständliche Textform statt reiner Zahlen-Dashboards für Eltern ohne Zeit für Detailanalyse, Highlight-der-Woche größter Lernfortschritt automatisch hervorgehoben, Themen-Überblick was wurde diese Woche in welchem Fach bearbeitet, Empfehlungs-Sektion worauf nächste Woche der Fokus liegen könnte, Vergleich zur Vorwoche als kurze Trend-Anzeige (ApexCharts Sparkline), Anpassbare Berichtsfrequenz wöchentlich oder zweiwöchentlich, Versand-Mockup als druckbare Zusammenfassung statt echtem E-Mail-Versand, Datenschutz-Hinweis Bericht bleibt lokal im Familienkreis, Mehrkind-Berichte getrennt, Ton-Einstellung sachlich oder ermutigend wählbar, GSAP Bericht-Erstellungs-Animationen - USE CASE: Berufstätige Eltern erhalten ohne täglichen Nachfrage-Aufwand eine verständliche Wochenzusammenfassung, der automatisch hervorgehobene Fortschritt sorgt für positive statt nur mahnende Gesprächsanlässe.\n\n56. **#456** — entwickle einen Familien-Lernkalender zur gemeinsamen Planung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsamer Kalender für Klausurtermine, Nachhilfestunden und Lerneinheiten aller Kinder der Familie, Farbcodierung pro Kind ohne Klarnamen nur Vornamen-Kürzel, Konfliktwarnung bei Terminüberschneidungen mehrerer Kinder, Familienzeit-Blöcke bewusst als Lernpausen markiert, Wochenübersicht wer hat wann welche Verpflichtung, Erinnerungsfunktion für anstehende Termine, Verknüpfung zu individuellen Lernplänen pro Kind, Export als Familienkalender zum Aushängen, Statistik Lernzeit-Verteilung zwischen Geschwistern nur zur eigenen Planungsübersicht ohne Vergleichs-Wertung, Offline-Nutzung als PWA, GSAP Kalender-Eintrags-Animationen - USE CASE: Familien mit mehreren schulpflichtigen Kindern koordinieren Nachhilfetermine und Klausurphasen ohne Terminchaos, die bewusst markierten Familienzeit-Blöcke verhindern dass Lernorganisation die gesamte Familienzeit dominiert.\n\n57. **#457** — programmiere einen Eltern-Gesprächsleitfaden zur Elternsprechtag-Vorbereitung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fragenkatalog nach Fach vorbereitbar für das Lehrergespräch, Notenverlauf-Zusammenfassung als Gesprächsgrundlage automatisch aus eigenen Daten erstellt, Beobachtungs-Notizfeld eigene Eindrücke vor dem Gespräch sammeln, Prioritäten-Sortierung welche Themen zuerst angesprochen werden sollen bei begrenzter Gesprächszeit, Nachbereitungs-Sektion Ergebnisse und Vereinbarungen aus dem Gespräch festhalten, Verlaufsübersicht vergangener Elterngespräche und deren Vereinbarungen, Erinnerungsfunktion für den Termin, Formulierungshilfen für schwierige Themen konstruktiv ansprechen, Checkliste Unterlagen die zum Gespräch mitgebracht werden sollten, Export Gesprächsnotizen als PDF, Mehrkind-Verwaltung getrennte Leitfäden, GSAP Fragenkatalog-Aufbau-Animationen - USE CASE: Eltern gehen strukturiert statt spontan in den kurzen Elternsprechtags-Termin und verpassen keine wichtige Frage, die Nachbereitungs-Sektion hilft getroffene Vereinbarungen tatsächlich nachzuverfolgen.\n\n58. **#458** — baue eine Eltern-Kind-Lernvertrag-App zur digitalen Zielvereinbarung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsamer Editor für Lernziele und gegenseitige Verpflichtungen Eltern und Kind, Vorlagen-Bibliothek altersgerechte Beispiel-Vereinbarungen zu Bildschirmzeit/Hausaufgaben/Lernzeiten, Digitale Unterschrift-Simulation beider Seiten als symbolischer Akt, Fortschritts-Checkpoints regelmäßige gemeinsame Überprüfung vereinbart, Anpassungs-Historie wie sich der Vertrag über das Schuljahr verändert hat, Erinnerungsfunktion für vereinbarte Check-in-Termine, Fairness-Hinweise Vertrag sollte für beide Seiten Verpflichtungen enthalten nicht nur einseitig, Visualisierung eingehaltener vs verpasster Vereinbarungen (ApexCharts Donut), Konfliktlösungs-Leitfaden bei Uneinigkeit über Vertragspunkte, Export als unterschreibbares PDF für den Kühlschrank, Kindgerechte einfache Sprache in Vorlagen, GSAP Vertrags-Unterzeichnungs-Animationen - USE CASE: Familien vereinbaren Lernregeln transparent und für beide Seiten nachvollziehbar statt einseitiger Vorgaben, die beidseitige Verpflichtungsstruktur reduziert erfahrungsgemäß Konflikte um Hausaufgaben und Bildschirmzeit.\n\n59. **#459** — erstelle eine Eltern-Coaching-Tipps-App zur Unterstützung ohne Druck - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze alltagstaugliche Tipps-Sammlung nach Situation sortiert Motivationsprobleme/Prüfungsangst/Konzentrationsschwierigkeiten, Selbsttest wie unterstützend oder wie drucklastig ist die eigene Kommunikation mit dem Kind, Formulierungs-Beispiele hilfreiche vs kontraproduktive Sätze gegenübergestellt, Experten-Hintergrundwissen kindgerecht aufbereitet zu Entwicklungspsychologie und Lernmotivation, Reflexions-Tagebuch für Eltern eigene Erfahrungen und Fortschritte notieren, Community-Erfahrungsberichte-Mockup anderer Eltern anonymisiert, Wochentipp-Rotation neue Impulse regelmäßig, Warnzeichen-Sektion wann professionelle Unterstützung sinnvoll sein könnte, Fortschritts-Tracker eigene Anwendung der Tipps im Alltag, Suchfunktion nach Situation, GSAP Tipp-Karten-Einblend-Animationen - USE CASE: Eltern die unsicher sind wie sie unterstützen können ohne zusätzlichen Druck aufzubauen finden konkrete Formulierungshilfen, der Selbsttest macht das eigene Kommunikationsmuster mit dem Kind bewusster.\n\n60. **#460** — entwickle einen Zeugnis-und-Notenverlauf-Tracker für die Eltern-Ansicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Manuelle Noteneingabe pro Fach und Schuljahr, Notenverlauf-Chart über mehrere Schuljahre pro Fach (ApexCharts Linie), Zeugnis-Archiv-Übersicht Halbjahres- und Jahreszeugnisse chronologisch, Notenschnitt-Berechnung automatisch nach Schulform-Gewichtung, Trend-Erkennung Verbesserung oder Verschlechterung pro Fach farblich markiert, Fach-Vergleich innerhalb des Kindes welche Fächer stärker oder schwächer sind (D3.js Radar), Kommentar-Feld pro Zeugnis eigene Beobachtungen festhalten, Mehrkind-Verwaltung getrennte Profile ohne Vergleichsdruck zwischen Geschwistern, Zielnote-Eintrag pro Fach mit Fortschritts-Anzeige zur Zielerreichung, Export Notenübersicht als PDF, Datenschutz alle Daten ausschließlich lokal gespeichert, GSAP Notenverlaufs-Zeichen-Animationen - USE CASE: Eltern behalten die längerfristige Notenentwicklung ihres Kindes über mehrere Schuljahre im Blick statt nur einzelne Zeugnisse isoliert zu betrachten, die getrennte Geschwister-Verwaltung vermeidet dabei bewusst direkten Vergleichsdruck.\n\n## Kategorie 7: NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)\n\n61. **#461** — erstelle eine Schülerkartei-Verwaltung für private Nachhilfelehrer - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schülerprofile mit Fach/Klassenstufe/Schulform und minimalen notwendigen Kontaktdaten, Lernziel-Dokumentation pro Schüler mit Fortschrittsstatus, Stundenhistorie chronologisch pro Schüler, Themen-Verlauf was wurde in welcher Stunde behandelt, Stärken-Schwächen-Profil pro Schüler (D3.js Radar), Kontaktdaten-Verwaltung Eltern-Ansprechpartner getrennt von Schülerdaten, Auslastungs-Übersicht aktive vs pausierte Schüler, Erinnerungsfunktion für Vertragsverlängerungen oder Stundenpaket-Ende, Notizfeld vertrauliche Beobachtungen nur für den Nachhilfelehrer sichtbar, Such- und Filterfunktion nach Fach/Klassenstufe, Export Schülerübersicht als Tabelle, Datenschutz-Hinweis DSGVO-konforme minimale Datenspeicherung ausschließlich lokal, GSAP Profil-Karten-Animationen - USE CASE: Nachhilfelehrer mit vielen parallelen Schülern behalten Lernstand und Vereinbarungen pro Schüler übersichtlich fest, die datenschutzbewusste minimale Datenerhebung schützt sensible Informationen über Minderjährige konsequent.\n\n62. **#462** — entwickle einen Terminplanungs-Kalender für Nachhilfestunden - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochen- und Monatsansicht aller gebuchten Nachhilfetermine, Wiederkehrende-Termine-Vorlage für feste wöchentliche Stunden, Verfügbarkeits-Übersicht freie Zeitfenster für Neubuchungen, Farbcodierung pro Schüler oder Fach, Absage-und-Verschiebungs-Verwaltung mit Historie, Anfahrtszeiten-Puffer zwischen Terminen bei Hausbesuchen, Auslastungs-Statistik Stunden pro Woche im Verlauf (ApexCharts Balken), Erinnerungsfunktion für bevorstehende Termine, Doppelbuchungs-Warnung bei Terminkonflikten, Ferienzeiten-Markierung automatische Pausenerkennung, Export Wochenplan als druckbare Übersicht, GSAP Terminkarten-Animationen - USE CASE: Nachhilfelehrer mit vielen Einzel- und Gruppenterminen vermeiden Doppelbuchungen und Terminchaos, die Auslastungs-Statistik hilft realistisch einzuschätzen wie viele neue Schüler noch aufgenommen werden können.\n\n63. **#463** — programmiere einen Rechnungsgenerator für Nachhilfestunden - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Stundensatz-Konfiguration pro Schüler oder pauschal, Automatische Rechnungserstellung aus erfassten Nachhilfestunden im Zeitraum, Rechnungsvorlagen-Editor mit eigenem Namen und Kontaktdaten, Zahlungsstatus-Tracking bezahlt/offen/überfällig, Mahnwesen-Vorlage bei überfälligen Zahlungen freundlich formuliert, Einnahmen-Übersicht pro Monat und Jahr (ApexCharts Balken), Stundenpaket-Verwaltung Restguthaben pro Schüler, Steuerliche-Vorbereitung-Export Jahresübersicht für die Steuererklärung als Kleinunternehmer, Rechnungsarchiv durchsuchbar, Rabatt-und-Paket-Konfiguration Geschwisterrabatt oder Zehnerkarten, PDF-Export professionell formatiert, GSAP Rechnungserstellungs-Animationen - USE CASE: Selbstständige Nachhilfelehrer verwalten Abrechnung und Zahlungseingänge professionell statt handschriftlicher Notizen, die Jahresübersicht erleichtert die eigene Steuererklärung erheblich.\n\n64. **#464** — baue ein Lernfortschritts-Notizen-Tool pro Schüler für Nachhilfelehrer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierte Stundenprotokoll-Vorlage Thema/Beobachtung/Hausaufgabe/nächste-Schritte, Fortschritts-Bewertung pro Kompetenzbereich mit einfacher Skala, Verlaufsansicht aller Protokolle chronologisch pro Schüler, Themen-Abdeckungs-Übersicht was wurde im Lehrplan bereits behandelt (D3.js), Wiedervorlage-Markierung Themen die nochmal aufgegriffen werden sollten, Elternbericht-Export vereinfachte Version ohne interne Notizen für Weitergabe an Eltern, Notenentwicklung-Verknüpfung zur Erfolgskontrolle der Nachhilfe (ApexCharts Linie), Suchfunktion über alle Protokolle nach Thema, Vorlagen-Bibliothek für wiederkehrende Themenblöcke je Fach, Erinnerungsfunktion offene Wiedervorlage-Themen, Vertraulichkeits-Kennzeichnung private vs teilbare Notizen, GSAP Protokoll-Eintrag-Animationen - USE CASE: Nachhilfelehrer dokumentieren jede Stunde nachvollziehbar statt sich auf das Gedächtnis zu verlassen, der separate Elternbericht-Export ermöglicht Transparenz ohne private pädagogische Einschätzungen preiszugeben.\n\n65. **#465** — erstelle eine Unterrichtsmaterial-Bibliothek nach Fach-und-Klassenstufe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorisierte Materialablage Fach/Klassenstufe/Schulform/Themenbereich, Vorlagen-Sammlung eigene Arbeitsblätter und Übungen wiederverwendbar, Verknüpfung zu passenden Übungstests aus der Testbibliothek, Tag-System für flexible Zusatz-Kategorisierung, Nutzungshäufigkeits-Statistik welche Materialien am häufigsten eingesetzt werden (ApexCharts Balken), Versionsverwaltung bei überarbeiteten Arbeitsblättern, Volltextsuche über Materialtitel und Themen, Favoriten-Sammlung bewährter Materialien, Materialpaket-Zusammenstellung für neue Schüler nach Schulform, Druckansicht direkt aus der Bibliothek, Freigabe-Kennzeichnung eigenes vs aus anderen Quellen übernommenes Material, GSAP Bibliotheks-Grid-Animationen - USE CASE: Nachhilfelehrer mit wachsendem Materialfundus finden passende Arbeitsblätter sofort statt in Ordnern zu suchen, neue Schüler erhalten durch die Materialpaket-Funktion schnell ein passendes Einstiegspaket nach Schulform.\n\n66. **#466** — entwickle einen Nachhilfe-Preise-und-Pakete-Kalkulator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Preismodell-Konfigurator Einzelstunde/Zehnerkarte/Monatspauschale mit automatischer Ersparnis-Berechnung, Regionale-Preisvergleich-Referenz zur eigenen Preisfindung, Fach-und-Klassenstufen-abhängige-Staffelung Oberstufe-Abitur oft höherer Satz, Gruppenrabatt-Rechner bei Kleingruppen-Nachhilfe, Umsatzprognose bei verschiedenen Auslastungsszenarien (ApexCharts Balken), Deckungsbeitrags-Rechner nach Abzug von Fahrtkosten und Materialkosten, Angebots-Generator für neue Interessenten mit gewähltem Paket, Vergleichstabelle eigener Pakete für Website oder Aushang, Break-Even-Rechner wie viele Stunden pro Monat nötig sind, Saisonale-Nachfrage-Notiz Klausurphasen als umsatzstärkere Zeiten markieren, Export Preisliste als PDF, GSAP Paket-Vergleichs-Animationen - USE CASE: Angehende Nachhilfelehrer kalkulieren eine faire und wettbewerbsfähige Preisstruktur bevor sie neue Schüler akquirieren, etablierte Anbieter prüfen mit dem Deckungsbeitrags-Rechner ob sich Hausbesuche mit Fahrtaufwand noch lohnen.\n\n67. **#467** — programmiere ein Elternkommunikations-Center für Nachhilfelehrer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrale Nachrichtenübersicht getrennt nach Familie statt Einzelchats verstreut, Vorlagen-Bibliothek für wiederkehrende Nachrichten Terminbestätigung/Absage/Fortschrittsupdate, Rundmail-Funktion-Mockup für organisatorische Ankündigungen an alle aktiven Familien, Antwort-Status-Tracking wer hat auf welche Nachricht reagiert, Terminanfragen-Verwaltung eingehende Anfragen mit Annehmen/Ablehnen, Kommunikationshistorie durchsuchbar pro Familie, Erinnerungsfunktion für unbeantwortete Anfragen, Feedback-Sammlung nach Probestunden strukturiert, Datenschutz-Hinweis Kommunikation ausschließlich mit Erziehungsberechtigten dokumentiert, Prioritäts-Kennzeichnung dringende Anfragen, Export Kommunikationsverlauf pro Familie, GSAP Nachrichtenzentrale-Animationen - USE CASE: Nachhilfelehrer mit vielen parallelen Familienkontakten verlieren keine offenen Anfragen mehr in verstreuten Chatverläufen, die Vorlagen-Bibliothek spart Zeit bei wiederkehrender organisatorischer Kommunikation.\n\n68. **#468** — baue einen Gruppenunterricht-Planer für Nachhilfeinstitute - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gruppenzusammenstellung nach Fach/Klassenstufe/Leistungsniveau für passende Kleingruppen, Kapazitätsplanung maximale Gruppengröße pro Fach, Themenplan-Synchronisierung passend zum Schullehrplan der Gruppe, Individuelle-Fortschritts-Erfassung trotz Gruppenunterricht pro Schüler, Warteliste-Verwaltung bei ausgebuchten Gruppen, Terminfindungs-Tool welcher Termin passt für die meisten Gruppenmitglieder, Auslastungs-Dashboard über alle Gruppen (ApexCharts Balken), Umgruppierungs-Vorschlag bei stark unterschiedlichem Fortschritt innerhalb einer Gruppe, Elterninformation pro Gruppe getrennt vom Einzelunterricht, Materialverteilung an gesamte Gruppe gleichzeitig, Export Gruppenübersicht für Institutsleitung, GSAP Gruppen-Zuordnungs-Animationen - USE CASE: Nachhilfeinstitute mit mehreren parallelen Kleingruppen behalten trotz Gruppenformat den individuellen Fortschritt jedes Schülers im Blick, die Umgruppierungs-Vorschläge verhindern dass leistungsstärkere und schwächere Schüler dauerhaft in ungeeigneten Gruppen verbleiben.\n\n69. **#469** — erstelle ein Probestunden-Buchungs-Tool für neue Nachhilfeschüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buchungsformular für Erstkontakt mit Fach/Klassenstufe/Anliegen ohne unnötige Datenabfrage, Verfügbare-Termine-Kalender für Probestunden, Vorab-Fragebogen zur Einschätzung des aktuellen Wissensstands, Automatische Bestätigungs-Vorlage nach Buchung, Erinnerungsfunktion vor der Probestunde, Nachbereitungs-Formular Ergebnis der Probestunde und Einschätzung des Förderbedarfs, Umwandlungs-Tracking wie viele Probestunden zu regelmäßiger Nachhilfe führen (ApexCharts Balken), Feedback-Erfassung von Eltern nach der Probestunde, Absage-und-Verschiebungs-Verwaltung, Kapazitäts-Anzeige wie viele neue Schüler aktuell aufgenommen werden können, Datenschutz-Hinweis minimale Datenerhebung nur für die Terminorganisation nötig, GSAP Buchungsbestätigungs-Animationen - USE CASE: Nachhilfelehrer organisieren den Erstkontakt mit potenziellen neuen Schülern professionell und effizient, die Umwandlungs-Statistik zeigt wie erfolgreich Probestunden tatsächlich zu langfristiger Zusammenarbeit führen.\n\n70. **#470** — entwickle ein Nachhilfelehrer-Auslastungs-Dashboard Stunden-und-Einnahmen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesamtübersicht wöchentliche und monatliche Unterrichtsstunden über alle Schüler, Einnahmen-Entwicklung im Zeitverlauf (ApexCharts Linie), Auslastungsgrad-Anzeige freie Kapazität vs ausgebucht, Fach-Verteilung welche Fächer den größten Anteil der Stunden ausmachen (D3.js Treemap), Stundensatz-Durchschnitt über alle Schüler und Pakete, Kündigungs-und-Neuzugangs-Tracking Fluktuation über Zeit, Saisonale-Muster-Erkennung Klausurphasen mit erhöhter Nachfrage, Arbeitszeit-Belastungs-Warnung bei zu vielen Wochenstunden, Ziel-Einnahmen-Vergleich Soll vs Ist, Export Jahresübersicht für die eigene Buchhaltung, Wochentag-Verteilung wann die meisten Stunden stattfinden, GSAP Dashboard-Kennzahlen-Animationen - USE CASE: Selbstständige Nachhilfelehrer verschaffen sich einen unternehmerischen Überblick über ihre gesamte Tätigkeit statt nur einzelne Schülerkarteien zu führen, die Arbeitszeit-Belastungs-Warnung hilft eine gesunde Auslastung ohne Selbstausbeutung zu halten.\n\n## Kategorie 8: INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)\n\n71. **#471** — erstelle einen sicheren Physik-Experiment-Simulator für Stromkreise - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Virtueller Schaltkreis-Baukasten Batterie/Widerstand/Lampe/Schalter per Drag-and-Drop, Live-Simulation Stromfluss visualisiert bei geschlossenem Schaltkreis (D3.js Animation), Reihen-und-Parallelschaltung-Vergleich direkt nebeneinander aufbaubar, Messgeräte-Simulation virtuelles Amperemeter und Voltmeter einfügbar, Automatische Berechnung von Gesamtwiderstand und Stromstärke passend zum Aufbau, Fehler-Erkennung Kurzschluss-Warnung bei falschem Aufbau ungefährlich in der Simulation, Aufgaben-Modus vorgegebene Zielwerte durch richtigen Aufbau erreichen, Erklär-Popover zu jedem Bauteil, Speicherbare-eigene-Schaltkreise zum späteren Wiederholen, Vergleich zu Formelsammlung-Werten aus dem Physik-Nachschlagewerk, Explizit als reine Simulation gekennzeichnet kein echtes Laborexperiment, GSAP Stromfluss-Partikel-Animationen - USE CASE: Schüler ohne Zugang zu echtem Physik-Laborequipment üben Schaltkreis-Aufbau gefahrlos am Bildschirm, Nachhilfelehrer visualisieren abstrakte Stromkreis-Konzepte greifbar bevor der echte Schulversuch im Unterricht stattfindet.\n\n72. **#472** — entwickle einen sicheren Chemie-Reaktions-Simulator ohne echtes Labor - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Reagenzglas-Baukasten Stoffe per Klick kombinieren, Reaktionsvisualisierung Farbwechsel/Gasentwicklung/Niederschlag animiert (D3.js), Reaktionsgleichung wird automatisch passend zur Simulation eingeblendet und ausgeglichen, Sicherheitshinweise-Sektion erklärt warum bestimmte Reaktionen nur im echten Unterricht unter Aufsicht durchgeführt werden, Aufgaben-Modus vorgegebenes Zielprodukt durch richtige Kombination erreichen, Stoffeigenschaften-Nachschlage-Popover pro verwendetem Stoff, Fehlversuch-Feedback ohne reale Gefahr bei falscher Kombination nur Hinweistext, Fortschritts-Tracker gemeisterte Reaktionstypen, Verknüpfung zur Chemie-Formelsammlung für Stöchiometrie-Nachrechnung, Explizit als reine Lernsimulation gekennzeichnet, Wiederholungsmodus für Klausurvorbereitung, GSAP Reaktions-Farbwechsel-Animationen - USE CASE: Schüler verstehen chemische Reaktionen visuell nachvollziehbar ohne die Risiken eines echten Experiments, die App ergänzt den schulischen Chemieunterricht als sicheres Wiederholungswerkzeug zuhause.\n\n73. **#473** — programmiere einen interaktiven Geschichts-Zeitstrahl-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zoombarer Zeitstrahl von Antike bis Gegenwart nach Lehrplan-Epochen (D3.js Zeitachse), Epochen-Detailseiten mit zentralen Ereignissen und Ursache-Wirkungs-Zusammenhängen, Verknüpfungs-Ansicht Parallelereignisse in verschiedenen Regionen zur gleichen Zeit, Quellenausschnitte-Sammlung kurze historische Textquellen mit Einordnungshilfe, Zeitleisten-Quiz Ereignisse in richtige Reihenfolge bringen, Karten-Integration wie sich Grenzen über Epochen veränderten, Personen-Steckbriefe zu zentralen historischen Figuren, Themen-Filter Politik/Gesellschaft/Kultur separat einblendbar, Fortschritts-Tracker erkundete Epochen, Lesezeichen für klausurrelevante Ereignisse, Druckansicht als Zeitstrahl-Merkblatt, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Schüler verstehen historische Zusammenhänge über Epochen hinweg statt isolierter Einzelfakten, das PWA-Format eignet sich als digitale Erweiterung klassischer Geschichts-Nachhilfe wie bei den PWA-HISTORY-NACHHILFE-Projekten im eigenen Archiv.\n\n74. **#474** — baue ein Biologie-Diagramm-Beschriftungs-Tool für Zellen-und-Organe - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Diagramm-Bibliothek Tierzelle/Pflanzenzelle/menschliche-Organe nach Klassenstufe, Drag-and-Drop-Beschriftung Begriffe an richtige Stelle ziehen, Sofort-Feedback bei falscher Zuordnung mit Erklärung, Zoombare-Detailansicht komplexer Diagramme, Übungsmodus mit steigendem Schwierigkeitsgrad weniger Vorgaben, Zeitmess-Modus für Klausur-ähnliches Üben, Fortschritts-Statistik pro Diagrammtyp (ApexCharts Radial), Vergleichsansicht Tierzelle vs Pflanzenzelle nebeneinander, Fachbegriff-Verlinkung zum Biologie-Lexikon bei Unklarheiten, Eigene-Diagramme-Übung mit hochgeladenem Schulbuch-Diagramm-Platzhalter, Druckansicht unbeschrifteter Diagramme zum Selbstüben auf Papier, GSAP Beschriftungs-Einrast-Animationen - USE CASE: Schüler festigen die oft in Klassenarbeiten geforderte korrekte Beschriftung biologischer Diagramme praxisnah, der Zeitmess-Modus simuliert die reale Prüfungssituation solcher Beschriftungsaufgaben.\n\n75. **#475** — erstelle ein Erdkunde-Kartenquiz für Länder-Hauptstädte-und-Flüsse - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Interaktive Weltkarte mit klickbaren Ländern für Quizfragen, Themenmodule Hauptstädte/Flüsse/Gebirge/Kontinente nach Klassenstufe, Regionsfilter Europa/Deutschland-Bundesländer/Welt separat übbar, Blindkarten-Modus Länder ohne Beschriftung erkennen, Zeitmess-Modus für Wettbewerbscharakter, Fehleranalyse welche Regionen am schlechtesten abschneiden (ApexCharts Balken), Fortschritts-Fortschrittskarte bereits gemeisterte Regionen farblich markiert, Merkhilfen-Karten zu schwierig zu merkenden Ländern, Highscore-Tracker eigene Bestzeiten, Offline-Kartendaten für Nutzung ohne Internet, Druckansicht Blindkarten zum Selbstüben, GSAP Karten-Zoom-Animationen - USE CASE: Schüler festigen geografisches Grundwissen spielerisch statt stures Auswendiglernen von Ländernamen, das Bundesländer-Modul bereitet gezielt auf die in vielen Bundesländern früh gelehrte Deutschlandkunde vor.\n\n76. **#476** — entwickle einen Physik-Simulator für Mechanik Kräfte-und-Bewegung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Bewegungs-Baukasten Masse/Kraft/Reibung einstellbar mit Live-Simulation, Kraft-Vektor-Visualisierung an bewegtem Objekt (D3.js), v-t-und-s-t-Diagramm live während der Simulation gezeichnet (ApexCharts), Vergleichsmodus zwei Szenarien mit unterschiedlichen Parametern nebeneinander, Aufgaben-Modus vorgegebene Zielgeschwindigkeit durch richtige Krafteinstellung erreichen, Reibungs-Einfluss-Demonstration mit und ohne Reibung vergleichbar, Newtonsche-Gesetze-Erklär-Popover passend zur laufenden Simulation, Formelverknüpfung zur Physik-Formelsammlung, Fortschritts-Tracker gemeisterte Aufgabentypen, Explizit als Simulation ohne echtes Experiment gekennzeichnet, Zeitlupen-Funktion zur genauen Beobachtung, GSAP Bewegungspfad-Animationen - USE CASE: Schüler verstehen abstrakte Bewegungsgesetze durch direktes Ausprobieren verschiedener Parameter visuell, die parallele Diagrammzeichnung verbindet den beobachteten Bewegungsablauf unmittelbar mit der mathematischen Darstellung.\n\n77. **#477** — programmiere einen Chemie-Periodensystem-Simulator für Elektronenkonfiguration - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktives Atommodell-Bohr-Schema pro Element mit Elektronenschalen (D3.js), Aufbau-Prinzip-Simulator Elektronen werden schrittweise auf Schalen verteilt mit Erklärung, Vergleichsmodus zwei Elemente nebeneinander zur Veranschaulichung von Periodizität, Ionenbildungs-Simulation wie Atome durch Elektronenabgabe oder -aufnahme zu Ionen werden, Bindungstyp-Demonstration Ionenbindung vs Elektronenpaarbindung vereinfacht visualisiert, Aufgaben-Modus Elektronenkonfiguration eines vorgegebenen Elements korrekt aufbauen, Verknüpfung zum Periodensystem-Explorer für Zusatzinformationen, Fortschritts-Tracker gemeisterte Elemente, Erklär-Popover zu Fachbegriffen wie Valenzelektronen, Zeitlupen-Modus für komplexere Konfigurationen, GSAP Elektronen-Bewegungs-Animationen - USE CASE: Schüler der Oberstufe verstehen den Aufbau der Elektronenhülle und dessen Zusammenhang mit dem Periodensystem anschaulich, die Ionenbildungs-Simulation macht das sonst abstrakte Konzept der chemischen Bindung greifbar.\n\n78. **#478** — baue einen Biologie-Genetik-Simulator für Mendelsche-Regeln - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Kreuzungs-Baukasten Elterngenerationen mit wählbaren Merkmalen dominant/rezessiv, Automatische Kreuzungsschema-Erstellung Punnett-Quadrat live berechnet (D3.js), Wahrscheinlichkeits-Anzeige für Nachkommen-Merkmalsverteilung (ApexCharts Donut), Mehrgenerationen-Simulation F1 und F2-Generation nachvollziehbar, Erste-und-Zweite-Mendelsche-Regel-Erklärung passend zur laufenden Simulation, Aufgaben-Modus vorgegebenes Kreuzungsergebnis durch richtige Elternauswahl erreichen, Beispiel-Merkmale aus dem Schulunterricht Erbsenfarbe/Blütenform als Klassiker, Fortschritts-Tracker gemeisterte Kreuzungsaufgaben, Verknüpfung zum Biologie-Lexikon für Fachbegriffe, Druckansicht Kreuzungsschema als Übungsblatt, GSAP Kreuzungsschema-Aufbau-Animationen - USE CASE: Schüler verstehen Vererbungswahrscheinlichkeiten durch selbst durchgeführte Kreuzungen statt nur vorgerechnete Beispiele im Schulbuch nachzuvollziehen, die automatische Punnett-Quadrat-Berechnung hilft die Systematik hinter Mendels Regeln zu verinnerlichen.\n\n79. **#479** — erstelle einen Geschichts-Quellenanalyse-Trainer interaktiv - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Quellenbibliothek kurze historische Text- und Bildquellen nach Epoche kategorisiert, Schritt-für-Schritt-Anleitung Quellenanalyse Einordnung/Inhaltsangabe/Interpretation nach Schulstandard, Markier-Werkzeug wichtige Textstellen im Quellentext hervorheben, Leitfragen-Katalog passend zum Quellentyp Rede/Karikatur/Statistik, Musterlösungs-Vergleich nach eigenem Analyseversuch, Bewertungsraster-Simulation wie eine Lehrkraft die Analyse bepunkten würde, Übungsgenerator neue Quellen mit steigendem Schwierigkeitsgrad, Fortschritts-Tracker geübte Quellentypen (ApexCharts Radial), Fachbegriff-Glossar zu Quellenkritik-Begriffen, Klausur-Simulation mit Zeitlimit wie in echten Geschichtsklausuren, GSAP Textmarkierungs-Animationen - USE CASE: Oberstufenschüler üben die in Geschichtsklausuren zentrale Methodenkompetenz der Quellenanalyse strukturiert, das Bewertungsraster macht transparent wonach Lehrkräfte bei der Punktevergabe tatsächlich suchen.\n\n80. **#480** — entwickle einen Erdkunde-Klimadiagramm-Explorer-und-Vergleichs-Tool - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Klimadiagramm-Bibliothek für Städte weltweit nach Klimazonen kategorisiert, Interaktive Karte zur Auswahl von Vergleichsstädten (Leaflet), Klimadiagramm-Generator Temperatur und Niederschlag pro Monat visualisiert (ApexCharts Combo), Klimazonen-Zuordnungs-Quiz Diagramm der richtigen Zone zuordnen, Vergleichsmodus zwei Klimadiagramme nebeneinander analysieren, Lesehilfe-Erklärung wie man ein Klimadiagramm interpretiert Schritt für Schritt, Vegetationszonen-Verknüpfung passend zur Klimazone, Aufgaben-Modus typische Klausurfragen zu vorgelegtem Klimadiagramm, Fortschritts-Tracker analysierte Klimazonen, Druckansicht Klimadiagramme als Übungsblatt, GSAP Diagramm-Zeichnungs-Animationen - USE CASE: Schüler lernen die in Erdkundeklausuren häufig geforderte Klimadiagramm-Analyse anhand echter Städtedaten praxisnah, der Vergleichsmodus verdeutlicht Unterschiede zwischen Klimazonen anschaulicher als reine Tabellenwerte im Schulbuch.\n\n## Kategorie 9: ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)\n\n81. **#481** — erstelle einen Abitur-Mathe-Vorbereitungs-Trainer für NRW - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Analysis/Analytische-Geometrie/Stochastik entsprechend dem NRW-Zentralabitur-Kernlehrplan, Grund-und-Leistungskurs-Umschaltung mit passendem Anforderungsniveau, Hilfsmittelfreier-und-Hilfsmittel-Teil-Simulation getrennt wie im echten Abitur, GTR-Nutzungs-Hinweise wann grafikfähiger Taschenrechner im Abitur erlaubt ist, Musteraufgaben im Stil vergangener Abiturprüfungen NRW, Bewertungsschema-Simulation Punkte-zu-Note-Umrechnung nach offiziellem Schlüssel, Themenschwerpunkt-Statistik welche Inhalte in den letzten Jahren häufig geprüft wurden (ApexCharts Balken), Schwachstellenanalyse nach Themenblock (D3.js Radar), Formelsammlung-Verknüpfung zum Mathe-Nachschlagewerk, Countdown bis zum Abiturtermin, Zeitmanagement-Simulation realistische Bearbeitungszeit pro Aufgabenteil, GSAP Themenblock-Fortschritts-Animationen - USE CASE: Abiturienten in NRW bereiten sich gezielt auf die Struktur und Themenschwerpunkte des Zentralabiturs vor, die Bewertungssimulation macht nachvollziehbar wie viele Punkte für eine bestimmte Abiturnote nötig sind.\n\n82. **#482** — entwickle einen Abitur-Deutsch-Vorbereitungs-Trainer für Bayern - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aufgabenformate Textanalyse/Erörterung/Interpretation nach bayerischem Lehrplan G9, Pflichtlektüren-Übersicht mit Kurzzusammenfassungen und zentralen Interpretationsansätzen, Schreibplan-Generator Gliederungshilfe vor dem eigentlichen Aufsatz, Musteraufsätze mit Bewertungskommentaren nach bayerischem Punkteschema, Rhetorische-Mittel-Nachschlagewerk mit Beispielen aus Pflichtlektüren, Zeitmanagement-Simulation für die reale Prüfungsdauer, Themenschwerpunkt-Historie vergangener Abiturthemen in Bayern, Selbstkorrektur-Checkliste vor Abgabe eines Übungsaufsatzes, Fortschritts-Tracker geübte Aufgabenformate (ApexCharts Radial), Wortschatz-Erweiterung anspruchsvolle Formulierungen für Interpretationen, GSAP Schreibplan-Aufbau-Animationen - USE CASE: Abiturienten in Bayern üben die spezifischen Aufgabenformate des dortigen Deutsch-Abiturs mit bayern-spezifischen Pflichtlektüren, der Schreibplan-Generator hilft unter Zeitdruck eine klare Aufsatzstruktur zu entwickeln.\n\n83. **#483** — programmiere einen Mittlere-Reife-Vorbereitungs-Trainer für Bayern - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fachauswahl Mathematik/Deutsch/Englisch entsprechend der bayerischen Quali-und-Mittlere-Reife-Prüfungsstruktur, Aufgabenformate wie in echten Abschlussprüfungen nachgebildet, Themenschwerpunkt-Übersicht der letzten Prüfungsjahrgänge (ApexCharts Balken), Bewertungsschema-Simulation Punkte-zu-Note nach bayerischem System, Übungsklausuren mit realistischem Zeitlimit, Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Formelsammlung-und-Nachschlage-Verknüpfung während der Übung, Countdown bis zur Prüfung, Motivations-Hinweise gerade für Schüler mit Prüfungsangst vor dem ersten großen Schulabschluss, Fortschritts-Historie über mehrere Übungsdurchläufe, Elterninformations-Sektion Ablauf und Bedeutung der Mittleren Reife erklärt, GSAP Prüfungssimulations-Animationen - USE CASE: Realschüler in Bayern bereiten sich strukturiert auf ihre erste zentrale Abschlussprüfung vor, Eltern ohne eigene Erfahrung mit dem bayerischen System verstehen durch die Info-Sektion den Ablauf und die Bedeutung der Prüfung besser.\n\n84. **#484** — baue einen Hauptschulabschluss-Vorbereitungs-Trainer Deutsch-und-Mathe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Grundlagen-orientierte Übungsaufgaben angepasst an das Anforderungsniveau des Hauptschulabschlusses, Praxisnahe-Textaufgaben Alltags-und-Berufsbezug in Mathematik, Bewerbungsschreiben-und-Lebenslauf-Übungsmodul als Zusatzbaustein zur Berufsorientierung, Lesekompetenz-Training mit alltagsnahen Texten für den Deutsch-Teil, Einfache-verständliche-Erklärungen ohne komplizierten Fachjargon, Ermutigende-Rückmeldungen bei Fehlern statt entmutigender Bewertung, Fortschritts-Tracker mit kleinen erreichbaren Etappenzielen (ApexCharts Balken), Übungsklausuren mit realistischem Zeitlimit, Schwachstellenanalyse nach Themenbereich, Elternhinweise wie zuhause unterstützt werden kann ohne Überforderung, Offline-Nutzung als PWA, GSAP Etappen-Erfolgs-Animationen - USE CASE: Hauptschüler mit teils schwierigem Zugang zu klassischen Lernformaten bereiten sich mit alltagsnahen und ermutigenden Übungen auf ihren Abschluss vor, die kleinschrittige Erfolgsdarstellung fördert Durchhaltevermögen auch bei Schülern mit bisherigen Frustrationserfahrungen in der Schule.\n\n85. **#485** — erstelle einen Notenschnitt-Rechner für das Abitur NRW - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe aller Kursnoten der Qualifikationsphase Q1 und Q2 nach NRW-Punktesystem, Automatische Berechnung der Gesamtqualifikation nach offizieller Formel Block-1-und-Block-2, Abiturprüfungsnoten-Simulation Auswirkung verschiedener Prüfungsergebnisse auf die Endnote, Zielnoten-Rechner welche Prüfungsleistung für eine gewünschte Abiturdurchschnittsnote nötig ist, Visualisierung Notenzusammensetzung nach Anteilen (ApexCharts Donut), Warnhinweis bei Unterschreitung der Mindestpunktzahl-Kriterien, Vergleichsrechnung verschiedene Szenarien nebeneinander, Fach-Gewichtung-Erklärung Leistungskurse doppelt gewichtet transparent dargestellt, Verlaufs-Speicherung mehrerer Rechendurchläufe, Export Berechnung als PDF für die eigene Übersicht, Erklär-Tutorial zum komplexen NRW-Punktesystem für Schüler und Eltern, GSAP Notenberechnungs-Animationen - USE CASE: Abiturienten in NRW verstehen frühzeitig wie sich einzelne Klausurnoten konkret auf die Abiturdurchschnittsnote auswirken, der Zielnoten-Rechner zeigt realistisch welche Prüfungsleistung für ein angestrebtes Wunschergebnis noch erreicht werden muss.\n\n86. **#486** — entwickle einen Abitur-Altklausuren-Generator für Mathe-und-Physik - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aufgabenpool im Stil vergangener Abiturklausuren nach Themenbereich kategorisiert, Zufalls-Zusammenstellung einer vollständigen Klausur aus dem Pool, Zeitlimit exakt wie in der echten Abiturprüfung, Musterlösungen mit vollständigem Lösungsweg und Punkteverteilung, Themenhäufigkeits-Statistik über mehrere Prüfungsjahrgänge (ApexCharts Balken), Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Bewertungsschema-Simulation Punkte-zu-Note, Fortschritts-Historie über mehrere Übungsklausuren, Formelsammlung-Verknüpfung während der Bearbeitung erlaubt wie im echten Abitur, Druckansicht als vollständige Übungsklausur, Wiederholungsmodus nur bisher schwach gelöste Themen, GSAP Klausur-Zusammenstellungs-Animationen - USE CASE: Abiturienten üben unter realistischen Bedingungen mit Aufgaben die sich strukturell an echten früheren Abiturklausuren orientieren, die Themenhäufigkeits-Statistik hilft die Lernzeit auf die erfahrungsgemäß am häufigsten geprüften Inhalte zu konzentrieren.\n\n87. **#487** — programmiere einen Abitur-Englisch-Vorbereitungs-Trainer Textproduktion-und-Hörverstehen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Aufgabenformate Comment/Analysis/Mediation nach gängigem Abitur-Anforderungsprofil, Textproduktions-Trainer mit Schreibplan-Gliederungshilfe vor dem eigentlichen Essay, Hörverstehen-Modul mit Audio-Wiedergabe und Verständnisfragen, Wortschatz-Bausteine für Analyse und Argumentation auf Abitur-Niveau, Musteraufsätze mit Bewertungskommentaren nach Punkteschema, Zeitmanagement-Simulation für die reale Prüfungsdauer, Themenschwerpunkte historisch behandelter Abiturthemen als Orientierung, Selbstkorrektur-Checkliste Grammatik und Struktur vor Abgabe, Fortschritts-Tracker geübte Aufgabenformate (ApexCharts Radial), Mediation-Übungen Deutsch-Englisch-Transferaufgaben, GSAP Essay-Struktur-Animationen - USE CASE: Abiturienten üben die anspruchsvollen Textproduktions- und Mediationsaufgaben des Englisch-Abiturs praxisnah, das separate Hörverstehen-Modul bereitet gezielt auf den oft unterschätzten Hörverstehensteil vor.\n\n88. **#488** — baue einen Abitur-Latein-Vorbereitungs-Trainer Übersetzung-und-Interpretation - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Textkorpus klassischer Abitur-Autoren Cicero/Ovid/Caesar mit steigendem Schwierigkeitsgrad, Übersetzungs-Editor mit Wort-für-Wort-Hilfe optional einblendbar, Interpretations-Leitfragen-Katalog passend zum Textabschnitt, Grammatik-Wiederholungs-Module zu Konstruktionen die im Abitur häufig vorkommen, Klausur-Simulation mit Zeitlimit und Punkteverteilung nach echtem Bewertungsschema, Stilmittel-Nachschlagewerk mit Beispielen aus den Prüfungsautoren, Vokabel-Wiederholung aus bereits bearbeiteten Prüfungstexten verknüpft mit dem Latein-Vokabeltrainer, Fortschritts-Historie über mehrere Übungstexte (ApexCharts Balken), Kulturhistorischer-Kontext zu jedem Autor kompakt erklärt, Countdown bis zur Abiturprüfung, GSAP Text-Interpretations-Animationen - USE CASE: Lateinschüler im Abitur üben mit Originaltexten der tatsächlich im Lehrplan verankerten Prüfungsautoren, die Verknüpfung zum Vokabeltrainer schließt gezielt Wortschatzlücken die bei Übersetzungen im Abitur häufig zu Punktabzug führen.\n\n89. **#489** — erstelle ein Bundesland-Vergleichs-Tool für Abitur-Anforderungen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichsübersicht Abitur-Struktur nach Bundesland NRW/Bayern/Baden-Württemberg/weitere, Fach-und-Prüfungsformat-Unterschiede tabellarisch gegenübergestellt, Punktesystem-Vergleich wie sich Noten zwischen den Bundesländern unterscheiden, G8-vs-G9-Erklärung mit Auswirkung auf die Vorbereitungszeit, Umzugs-Ratgeber-Sektion was bei Schulwechsel zwischen Bundesländern während der Oberstufe zu beachten ist, Zentralabitur-vs-dezentrales-Abitur-Erklärung welche Bundesländer welches System nutzen, Themenschwerpunkt-Unterschiede pro Bundesland bei gleichem Fach, Interaktive Deutschlandkarte zur Auswahl des Bundeslands (D3.js), Quellenverweis-Hinweis auf offizielle Kultusministerkonferenz-Regelungen, Suchfunktion nach spezifischer Fragestellung, Export Vergleichsübersicht als PDF, GSAP Bundesland-Auswahl-Animationen - USE CASE: Familien die während der Oberstufe umziehen verstehen welche Unterschiede im Abitursystem des neuen Bundeslands auf ihr Kind zukommen, Nachhilfelehrer die bundeslandübergreifend unterrichten behalten die unterschiedlichen Anforderungsprofile im Blick.\n\n90. **#490** — entwickle einen Abschlussprüfungs-Angst-und-Zeitmanagement-Coach für Abiturienten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Countdown-Übersicht bis zu allen Abiturprüfungsterminen mit verbleibenden Vorbereitungstagen pro Fach, Realistischer-Lernplan-Generator unter Berücksichtigung mehrerer paralleler Abiturfächer, Prüfungsangst-Übungen speziell für die besondere Drucksituation des Abiturs, Zeitmanagement-Simulator wie die Bearbeitungszeit in echten Abiturklausuren typischerweise sinnvoll aufgeteilt wird, Erfahrungsberichte-Sektion-Mockup wie andere Abiturienten die Belastung bewältigt haben, Pausenrhythmus-Empfehlung während der intensiven Vorbereitungsphase, Stimmungs-Tracker über die gesamte Abiturzeit hinweg (ApexCharts Linie), Motivations-Erinnerungen an bereits erreichte Etappen der Schullaufbahn, Elterninfo-Sektion wie in dieser besonders belastenden Phase unterstützt werden kann, Notfall-Kontakt-Hinweis bei ernsthafter Überforderung professionelle Beratungsstellen, Offline-Nutzung ohne Internet, GSAP Countdown-und-Beruhigungs-Animationen - USE CASE: Abiturienten in der besonders belastenden Prüfungsphase mit mehreren Klausuren in kurzer Zeit organisieren Vorbereitung und mentale Balance gemeinsam, der Notfall-Kontakt-Hinweis stellt sicher dass bei echter Überforderung auf professionelle Hilfe statt nur auf die App verwiesen wird.\n\n## Kategorie 10: GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)\n\n91. **#491** — erstelle einen Einmaleins-Trainer im Spiel-Format für die Grundschule - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Große kindgerechte Zahlen-Buttons statt kleiner Bedienelemente, Einmaleins-Reihen 1er bis 10er einzeln oder gemischt übbar, Spielfigur-Fortschritt läuft über einen bunten Lernpfad bei richtigen Antworten, Sofortiges freundliches Feedback mit Symbolen statt Textfehlermeldungen, Sternesammlung pro gemeisterter Einmaleins-Reihe, Zeitloser-Übungsmodus ohne Druck für unsichere Kinder, Wettrenn-Modus mit Zeitmessung für sicherere Kinder optional, Elternansicht Fortschritt pro Reihe (ApexCharts Balken), Wiederholungs-Erinnerung für noch unsichere Reihen, Bildschirmzeit-Hinweis eingebaute freundliche Erinnerung nach 15-20 Minuten eine Pause zu machen, Keine Werbung und keine In-App-Käufe, GSAP Spielfigur-Lauf-Animationen - USE CASE: Grundschulkinder üben das Einmaleins spielerisch ohne den Druck einer klassischen Abfrage-Situation, Eltern sehen anhand der Elternansicht objektiv welche Reihen noch mehr Übung brauchen.\n\n92. **#492** — entwickle ein Rechtschreib-Spiel Diktat-Abenteuer für die Grundschule - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Abenteuer-Rahmenhandlung kindgerechte Geschichte mit Rechtschreib-Aufgaben als Etappen, Wortlisten nach Klassenstufe 1-4 mit steigendem Schwierigkeitsgrad, Vorlese-Funktion Wörter werden deutlich vorgesprochen, Buchstabier-Hilfe bei besonders schwierigen Wörtern, Freundliches-Feedback bei Fehlern ohne entmutigende Sprache, Fortschritts-Karte durch die Abenteuerwelt visualisiert (D3.js), Sammelobjekte als Belohnung für gemeisterte Wortlisten, Elternansicht welche Wortgruppen noch Übung brauchen (ApexCharts Balken), Wiederholungsmodus für schwierige Wörter eingebettet in die Geschichte, Bildschirmzeit-bewusstes Design mit eingebauten Pausenerinnerungen, Große kindgerechte Schrift und Bedienelemente, GSAP Abenteuer-Szenenwechsel-Animationen - USE CASE: Grundschulkinder üben Rechtschreibung eingebettet in eine motivierende Geschichte statt trockener Diktat-Wiederholung, die freundliche Fehler-Rückmeldung baut keine Versagensängste vor Diktaten auf.\n\n93. **#493** — programmiere eine Lese-Abenteuer-App für Leseverständnis in der Grundschule - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze altersgerechte Geschichten mit großer Schrift und Bild-Illustration-Platzhaltern, Verständnisfragen nach jedem Kapitel mit Multiple-Choice kindgerecht formuliert, Vorlese-Funktion für noch unsichere Leser als Unterstützung, Lesetempo-Anpassung eigenes Tempo ohne Zeitdruck, Fortschritts-Bibliothek gelesene Geschichten als bunte Bücherregal-Ansicht, Wortschatz-Erklärungen bei Klick auf unbekannte Wörter, Belohnungs-System neue Geschichten werden nach Abschluss freigeschaltet, Elternansicht Leseverständnis-Entwicklung über Zeit (ApexCharts Linie), Themenvielfalt Abenteuer/Tiere/Freundschaft altersgerecht ausgewählt, Bildschirmzeit-bewusste Sitzungslänge mit sanfter Erinnerung, Keine Werbung und kein Kaufdruck, GSAP Buch-Aufschlag-Animationen - USE CASE: Grundschulkinder trainieren Leseverständnis mit motivierenden altersgerechten Geschichten statt reiner Lehrbuchtexte, die Vorlese-Funktion unterstützt gerade leseschwächere Kinder ohne sie vom eigenständigen Üben auszuschließen.\n\n94. **#494** — baue ein Zahlenraum-Rechenspiel für die Grundschule ZR-20-100-1000 - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zahlenraum-Auswahl 20/100/1000 passend zur Klassenstufe, Rechenoperationen Plus/Minus/später Mal/Geteilt schrittweise freigeschaltet, Bunte-Rechenhilfen visuelle Zehnerstangen und Hunderterfeld zur Veranschaulichung (D3.js), Spielerische-Verpackung Rechenaufgaben als Teil eines bunten Sammelspiels, Sofortiges kindgerechtes Feedback mit Symbolen, Schwierigkeitsgrad-Anpassung automatisch nach Erfolgsquote, Fortschritts-Sterne pro Zahlenraum-Stufe, Elternansicht Rechenfehler-Muster erkennen z.B. Zehnerübergang-Schwierigkeiten (ApexCharts Balken), Übungszeit-Empfehlung kurze Einheiten statt langer Sitzungen, Bildschirmzeit-bewusste Sitzungsbegrenzung mit freundlicher Erinnerung, Große Zahlen-Buttons für kleine Kinderhände, GSAP Zahlen-Sammel-Animationen - USE CASE: Grundschulkinder festigen Kopfrechnen im jeweils relevanten Zahlenraum mit visueller Unterstützung durch Zehnerstangen, die Elternansicht macht spezifische Schwierigkeiten wie Zehnerübergänge sichtbar für gezielte zusätzliche Übung.\n\n95. **#495** — erstelle eine Buchstaben-Lern-App für Erstklässler - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buchstaben-Einführung einzeln mit großformatiger Darstellung Groß-und-Kleinbuchstabe, Nachspur-Übung Buchstabenform mit dem Finger oder der Maus nachfahren, Lautzuordnung Buchstabe mit passendem Anlaut-Bild verknüpft, Einfache-Wort-Bildung erste kurze Wörter aus gelernten Buchstaben zusammensetzen, Fortschritts-Alphabet farbig markiert welche Buchstaben bereits gelernt wurden, Wiederholungsspiel bereits gelernte Buchstaben in Erinnerung halten, Elternansicht Lernfortschritt durchs Alphabet (ApexCharts Radial), Sehr einfache Bedienung nur Antippen keine komplexen Gesten nötig, Freundliche Sprachausgabe zur Unterstützung noch nicht lesender Kinder, Kurze Sitzungslänge kindgerecht mit automatischer Pausenerinnerung, Fröhliches aber ruhiges Farbdesign ohne Reizüberflutung, GSAP Buchstaben-Nachspur-Animationen - USE CASE: Erstklässler und Vorschulkinder lernen das Alphabet spielerisch mit Bild- und Lautunterstützung, die sehr einfache Bedienung macht die App auch für Kinder nutzbar die noch nicht selbstständig lesen können.\n\n96. **#496** — entwickle ein Sachunterricht-Quiz-Abenteuer für die Grundschule - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenwelten Tiere/Jahreszeiten/Verkehrssicherheit/Körper nach Sachunterricht-Lehrplan, Bild-basierte Quizfragen mit großen kindgerechten Illustrationen, Entdecker-Karte durch die verschiedenen Themenwelten (D3.js), Freundliches-Feedback mit ermutigenden Symbolen bei jeder Antwort, Sammelkarten-Belohnung zu gelernten Themen, Elternansicht Themen-Fortschritt (ApexCharts Radial), Wiederholungsspiel bereits behandelter Themen in neuer Reihenfolge, Vorlese-Funktion für noch nicht sicher lesende Kinder, Kurze Quiz-Runden von wenigen Minuten statt langer Sitzungen, Bildschirmzeit-bewusste automatische Pausenerinnerung, Keine Werbung und kein Kaufdruck im gesamten Spiel, GSAP Themenwelt-Übergangs-Animationen - USE CASE: Grundschulkinder festigen Sachunterrichts-Wissen aus dem Schulalltag spielerisch zuhause, die Themenwelten orientieren sich direkt an typischen Sachunterrichts-Einheiten und ergänzen damit den Unterricht sinnvoll statt ihn zu ersetzen.\n\n97. **#497** — programmiere ein Kopfrechnen-Duell-Spiel für die Unterstufe - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zwei-Spieler-Modus am selben Gerät für Geschwister oder Klassenkameraden ohne Klarnamen nur Spielernamen frei wählbar, Rechenoperationen nach Klassenstufe anpassbar Plus/Minus/Einmaleins/Geteilt, Zeitlimit pro Runde mit Countdown-Anzeige, Punktestand-Anzeige live während des Duells, Schwierigkeitsgrad-Synchronisierung beide Spieler bekommen gleich schwere Aufgaben für Fairness, Einzelspieler-Modus gegen die eigene Bestzeit als Alternative, Rundenstatistik wer wie viele Aufgaben richtig hatte (ApexCharts Balken), Fair-Play-Hinweise gegenseitige Ermutigung statt Bloßstellung bei Fehlern, Highscore-Liste eigene Bestzeiten über mehrere Sitzungen, Kindgerechtes fröhliches Design, GSAP Duell-Punktestand-Animationen - USE CASE: Geschwister oder Freunde üben Kopfrechnen gemeinsam in einem motivierenden aber fairen Wettbewerbsformat, der Einzelspieler-Modus bietet eine druckfreie Alternative für Kinder die sich nicht mit anderen messen möchten.\n\n98. **#498** — baue ein Belohnungs-Abzeichen-System für Grundschul-Lernapps übergreifend - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale Abzeichen-Galerie die Fortschritte aus verschiedenen Lernbereichen Mathe/Lesen/Schreiben/Sachunterricht zusammenführt, Freischalt-Bedingungen pro Abzeichen klar und kindgerecht erklärt, Fortschrittsbalken zum nächsten Abzeichen sichtbar als Motivation, Sammelalbum-Ansicht wie ein digitales Stickerheft, Eltern-Konfiguration welche Belohnungen mit welchen Abzeichen verknüpft sind, Wochenrückblick gesammelte Abzeichen der Woche als kleine Feier, Fairness-Prinzip Abzeichen für Anstrengung und Übung nicht nur für Bestleistung, Statistik-Ansicht für Eltern welche Bereiche am meisten geübt wurden (ApexCharts Balken), Keine Vergleichs-Rangliste mit anderen Kindern bewusst weggelassen, Buntes aber übersichtliches kindgerechtes Design, Offline-Nutzung als PWA, GSAP Abzeichen-Freischalt-Konfetti-Animationen - USE CASE: Familien mit mehreren genutzten Lern-Apps bündeln die Motivation in einem gemeinsamen Belohnungssystem statt verstreuter Einzel-Erfolge, das bewusste Weglassen von Vergleichs-Ranglisten schützt jüngere Kinder vor unnötigem Leistungsdruck.\n\n99. **#499** — erstelle ein Uhrzeit-Lernen-Spiel für die Grundschule - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktive analoge Uhr mit verschiebbaren Zeigern zum Einstellen vorgegebener Uhrzeiten, Digital-zu-analog-Zuordnungsspiel beide Darstellungsformen verknüpfen, Alltagssituationen-Aufgaben Schulbeginn/Mittagessen/Schlafenszeit mit passender Uhrzeit verbinden, Schwierigkeitsstufen volle-Stunde/halbe-Stunde/Minutengenau nach Klassenstufe, Sofortiges freundliches Feedback bei richtiger oder falscher Einstellung, Fortschritts-Sterne pro gemeisterter Schwierigkeitsstufe, Elternansicht welche Uhrzeit-Konzepte noch unsicher sind (ApexCharts Balken), Wiederholungsspiel für noch nicht gefestigte Zeitangaben, Kurze Übungseinheiten mit eingebauter Pausenerinnerung, Große kindgerechte Bedienelemente für die Zeiger-Verschiebung, Fröhliches ruhiges Farbdesign, GSAP Uhrzeiger-Bewegungs-Animationen - USE CASE: Grundschulkinder lernen das oft schwierige Konzept der Uhrzeit anhand konkreter Alltagssituationen statt abstrakter Zifferblätter, die Verknüpfung von analoger und digitaler Darstellung schließt eine häufige Verständnislücke zwischen beiden Anzeigeformen.\n\n100. **#500** — entwickle ein Grundschul-Lern-Dashboard mit bewusster Bildschirmzeit-Kontrolle - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale Startseite die zu verschiedenen Grundschul-Lernspielen Einmaleins/Rechtschreibung/Lesen/Uhrzeit führt, Eltern-Zeitfenster-Konfiguration wann und wie lange die Lernapps am Tag genutzt werden dürfen, Sanfte Sitzungsende-Erinnerung statt abruptem Abbruch mit Countdown-Vorwarnung, Gesamtübersicht genutzter Lernzeit pro Bereich für Eltern (ApexCharts Balken), Ausgewogenheits-Hinweis wenn ein Bereich stark vernachlässigt wird, Kindgerechte-Symbol-Navigation ohne Lesekompetenz-Voraussetzung, Wochenrückblick als gemeinsames Eltern-Kind-Ritual, Keine Weiterleitung zu externen Inhalten oder Werbung komplett geschlossenes System, Datenschutz-Hinweis alle Daten bleiben ausschließlich lokal auf dem Familiengerät, Mehrkind-Profile mit getrennten Zeitfenstern und Fortschritten, Offline-Nutzung als installierbare PWA für den ganzen Lernspiele-Verbund, GSAP Dashboard-Kachel-Animationen - USE CASE: Eltern von Grundschulkindern behalten über ein zentrales Dashboard die Kontrolle über Bildschirmzeit und Lerninhalte statt einzelne Apps separat verwalten zu müssen, die geschlossene werbefreie Systemarchitektur schützt jüngere Kinder vor unerwünschten externen Inhalten.\n\n=== ENDE ===\n\n## Hinweis\nDieser Batch ist an reale wiederkehrende Projektmuster aus dem eigenen HTML-MD-EXPORT-Archiv angelehnt, insbesondere: NACHHILFE (enthält u.a. \"Formelsammlung to go\" und \"5-Sprachen-Grammatik kompakt\", Vorlage für Kategorie 2 und 3), joojo (\"109 Übungstests fürs Gymnasium NRW – Eltern-/Schülerhandbuch\", direkte Vorlage für #408 und den NRW-Fokus in Kategorie 1 und 9), latina-v-klausur-trainer-ios-css-neu (Latein-Klausurtrainer, Vorlage für #404 und #488), sowie PWA-HISTORY-NACHHILFE und pwa-history (Geschichts-Nachhilfe-PWAs, Vorlage für #473 und #479). Alle 100 Prompts sind zusätzlich an konkreten deutschen Lehrplan- und Prüfungsdetails geerdet (NRW-Zentralabitur/ZP10, bayerisches G9-Abitur und Quali/Mittlere Reife, gängige Lehrwerk-Strukturen in Fremdsprachen, Kernlehrplan-Kompetenzbereiche) und durchgängig datenschutzbewusst für eine minderjährige Zielgruppe konzipiert: keine Klarnamen-Pflicht, keine Fotos von Kindern, keine Werbung oder Kaufanreize in Grundschul-Apps, alle Daten lokal in LocalStorage/IndexedDB statt Cloud-Erhebung.\n",
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            "title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
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            "overview": "--- project: 100-stack-complex-html5-app-prompts category: Prompt-Bibliothek cluster: Cross-Sektor / Restlicher Stack tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, ai-agents, trading, dev-tools, news, travel, sports, media, business, portals] --- # 100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2) ## Overview Ergänzung zu 100-DVAG-COMPLEX-HTML5-APP-PROMPTS: Batch 2 (#101-#200) deckt die übrigen Sektoren aus dem HTML-MD-EXPORT-Korpus ab, die im DVAG-Batch nicht vorkommen — AI-Agenten/Chatbots, Trading/Quant-Terminals, Finanz-Pitch/Strategie, Dev-Tools/Lernplattformen, News/OSINT, Reise/Outdoor, Sport/Sammler, Media/Games/Entertainment, Business-/Persönliche Produktivität, Mul",
            "content": "---\nproject: 100-stack-complex-html5-app-prompts\ncategory: Prompt-Bibliothek\ncluster: Cross-Sektor / Restlicher Stack\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, ai-agents, trading, dev-tools, news, travel, sports, media, business, portals]\n---\n\n# 100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)\n\n## Overview\nErgänzung zu 100-DVAG-COMPLEX-HTML5-APP-PROMPTS: Batch 2 (#101-#200) deckt die übrigen Sektoren aus dem HTML-MD-EXPORT-Korpus ab, die im DVAG-Batch nicht vorkommen — AI-Agenten/Chatbots, Trading/Quant-Terminals, Finanz-Pitch/Strategie, Dev-Tools/Lernplattformen, News/OSINT, Reise/Outdoor, Sport/Sammler, Media/Games/Entertainment, Business-/Persönliche Produktivität, Multi-App-Portale/Dashboards. Gegründet auf reale Muster aus der HTML-MD-EXPORT-Analyse (siehe SECURITY-FINDINGS.md für die dort dokumentierten Negativbeispiele, auf die einzelne Prompts bewusst verweisen).\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße\n- 2500+ Zeilen Code\n- 250+ Components\n- 8+ GSAP-Animationen\n- Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts + D3.js + GSAP + LocalStorage/IndexedDB\n\n## Kategorie 1: AI-AGENTEN, CHATBOTS & LLM-TOOLS\n\n101. **#101** — erstelle einen Multi-Model-AI-Chat-Hub Provider-Switch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Modell-Umschalter GPT-4o/Claude/Mistral/Gemini mit Live-Kostenanzeige pro 1K Tokens, Streaming-Antworten mit Typewriter-Effekt, Konversations-Threads mit Umbenennen/Archivieren, System-Prompt-Editor mit Presets, Token-Verbrauchs-Chart pro Session (ApexCharts Area), Konversations-Export Markdown/JSON, Wissensdatenbank-Upload PDF/TXT mit Chunk-Preview (D3.js Baumdiagramm), Antwort-Vergleich Side-by-Side zwei Modelle gleichzeitig, Rate-Limit-Warnanzeige, Prompt-Bibliothek mit Kategorien, Dark/Light Mode, GSAP Message-Bubble-Animationen - USE CASE: Entwickler vergleichen Modell-Antworten und Kosten vor Produktiv-Einsatz, Power-User verwalten mehrere parallele Recherche-Threads mit Wissensbasis. WICHTIG: nutzt ausschließlich einen serverseitigen Proxy-Endpunkt für API-Calls, niemals Provider-Keys im Client-Code (siehe SECURITY-FINDINGS.md im Stack für Negativ-Beispiele).\n\n102. **#102** — entwickle eine AI-Code-Pair-Programming-Workbench - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Split-View Editor+Chat mit Syntax-Highlighting (CodeMirror-Style), Diff-Viewer vor/nach KI-Vorschlag farbcodiert, Snippet-Bibliothek mit Tag-Suche, Sprachauswahl JS/Python/HTML/SQL, Inline-Erklärungs-Popover pro Codezeile, Test-Ausführungs-Mock mit Pass/Fail-Anzeige, Refactoring-Vorschläge als Kartenliste, Commit-Message-Generator aus Diff, Code-Komplexitäts-Score-Anzeige (ApexCharts Radial), Session-History mit Wiederherstellen, Keyboard-Shortcuts-Cheatsheet Overlay, GSAP Diff-Highlight-Animationen - USE CASE: Entwickler nutzen die App als Sandbox für KI-unterstütztes Pairing ohne IDE-Installation, Teams dokumentieren KI-Vorschläge nachvollziehbar für Code-Reviews.\n\n103. **#103** — programmiere ein Prompt-Engineering-Batch-Generator-Studio - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Prompt-Template-Editor mit Variablen-Platzhaltern {{variable}}, CSV-Import für Batch-Variablen mit Vorschau-Tabelle, Batch-Queue-Manager mit Fortschrittsbalken pro Job, Kosten-Schätzer vor Ausführung nach Modell/Tokenanzahl (ApexCharts Balken), Ergebnis-Diff zwischen Prompt-Varianten A/B-Test, Export aller Ergebnisse als CSV/JSON, Retry-Logik-Visualizer bei Fehlern, Template-Versionierung mit Rollback, Rate-Limit-Scheduler Verzögerung zwischen Calls, Duplikat-Erkennung ähnlicher Prompts (D3.js Ähnlichkeits-Cluster), GSAP Queue-Progress-Animationen - USE CASE: Content-Teams generieren hunderte Produktbeschreibungen aus einer Vorlage batch-weise, QA-Teams testen Prompt-Varianten systematisch vor Rollout.\n\n104. **#104** — baue einen Retrieval-Augmented-Chatbot-Builder mit Wissensdatenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokumenten-Upload-Zone mit Chunking-Strategie-Auswahl Größe/Overlap, Chunk-Preview-Liste durchsuchbar, Embedding-Fortschritt-Visualizer (ApexCharts Progress), Ähnlichkeitssuche-Tester mit Top-K-Ergebnissen und Score, Citation-Anzeige im Chat mit Quellenverweis-Badges, Wissensbasis-Statistiken Dokumente/Chunks/Größe (D3.js Donut), Reindexierungs-Button bei Dokumentänderung, Antwort-Grounding-Score wie viel aus Kontext vs Modell-Wissen, Konflikt-Erkennung widersprüchliche Quellen, Mehrsprachigkeits-Support Auto-Detect, Export Wissensbasis als JSON, GSAP Chunk-Highlight-Animationen - USE CASE: Support-Teams bauen firmeninternes Q&A-System über eigene Dokumentation, Berater erstellen kundenspezifische Wissens-Chatbots ohne Backend-Entwicklung.\n\n105. **#105** — erstelle ein AI-Voice-Assistant-Interface Mockup - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mikrofon-Aktivitäts-Visualizer Waveform Live (D3.js Canvas), Speech-to-Text-Transkript-Anzeige mit Zwischenspeicherung, Text-to-Speech-Playback-Steuerung Geschwindigkeit/Stimme, Wakeword-Simulation mit Trigger-Historie, Konversations-Verlauf als Chat-Bubbles mit Audio-Replay-Button, Intent-Erkennungs-Debug-Panel zeigt erkannte Absicht, Befehls-Bibliothek häufige Sprachbefehle als Karten, Latenz-Anzeige Antwortzeit (ApexCharts Sparkline), Offline-Fallback-Hinweis, Mehrsprachigkeit Umschalter DE/EN, Barrierefreiheits-Modus große Schrift, GSAP Waveform-Puls-Animationen - USE CASE: Produktteams demonstrieren Voice-UI-Konzepte ohne echte Spracherkennungs-Integration, Entwickler testen Konversationsabläufe visuell vor Backend-Anbindung.\n\n106. **#106** — entwickle ein Multi-Agent-Orchestrator-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Agenten-Rollen-Übersicht Planner/Researcher/Coder/Reviewer als Karten, Task-Queue-Visualizer mit Status Pending/Running/Done/Failed (D3.js Kanban), Agent-zu-Agent-Kommunikations-Log chronologisch, Function-Calling-Protokoll mit Input/Output pro Aufruf, Abhängigkeits-Graph zwischen Tasks (D3.js Force-Directed), Kosten- & Latenz-Aggregation pro Agent (ApexCharts Stacked Bar), Fehler-Eskalations-Anzeige bei Agent-Blockade, Manuelle Eingriffs-Möglichkeit Task pausieren/überspringen, Ausführungs-Timeline Gantt-Ansicht, Agent-Konfigurations-Editor Rolle/System-Prompt/Tools, Export vollständiger Run-Protokolle, GSAP Task-Status-Übergangs-Animationen - USE CASE: Entwickler debuggen komplexe Multi-Agent-Workflows visuell statt in Log-Dateien, Teams zeigen Stakeholdern nachvollziehbar wie ein Agenten-System zu einem Ergebnis kam.\n\n107. **#107** — programmiere einen AI-Übersetzer & Sprachlern-Assistenten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sofort-Übersetzung Multi-Language mit Aussprache-Audio-Button, Vokabeltrainer mit Spaced-Repetition-Algorithmus SRS, Flashcard-Stapel nach Themen, Fortschritts-Statistik gelernte/fällige Wörter (ApexCharts Kalender-Heatmap), Satzbau-Analyse mit Grammatik-Hervorhebung, Konjugations-/Deklinations-Tabellen-Generator, Hör-Verstehen-Modus mit Lückentext, Aussprache-Bewertung Mock-Score, Lernstreak-Tracker mit Gamification-Badges, Themen-Wortschatzlisten Reise/Business/Alltag, Offline-Wortschatz-Cache, GSAP Karten-Flip-Animationen - USE CASE: Sprachlerner üben täglich mit personalisiertem Wiederholungssystem, Reisende nutzen die App als Offline-Phrasebuch mit Ausspracheunterstützung.\n\n108. **#108** — baue einen KI-gestützten CRM-Copilot für Vertrieb - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead-Scoring-Liste mit KI-Begründung pro Score (ApexCharts Balken), E-Mail-Entwurf-Generator basierend auf Kontakt-Historie, Meeting-Zusammenfassungs-Generator aus Notizen-Stichpunkten, Next-Best-Action-Vorschläge pro Kontakt, Einwand-Behandlungs-Bibliothek durchsuchbar, Vertriebs-Pipeline-Kanban mit Drag&Drop, Gesprächsleitfaden-Generator nach Kundentyp, Sentiment-Anzeige aus E-Mail-Verlauf, Follow-Up-Erinnerungs-Kalender, Deal-Wahrscheinlichkeits-Anzeige (D3.js Gauge), Team-Aktivitäts-Feed, GSAP Karten-Übergangs-Animationen - USE CASE: Vertriebsmitarbeiter priorisieren Leads datenbasiert statt nach Bauchgefühl, Sales-Teams standardisieren Kommunikation mit KI-Unterstützung ohne CRM-Systemwechsel.\n\n109. **#109** — erstelle ein AI-Content-Moderation & Sicherheits-Dashboard - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Prompt-Injection-Detector-Log mit Risiko-Score pro Eingabe, Halluzinations-Warnsystem markiert unsichere Aussagen, Kosten-Monitor pro Modell/Team/Tag (ApexCharts Stacked Area), Rate-Limit-Verstoß-Historie, Content-Filter-Regeln-Editor Blocklist/Allowlist, Jailbreak-Versuch-Erkennungs-Log, PII-Erkennung in Nutzereingaben Warnhinweis, Audit-Trail aller Moderations-Entscheidungen, Modell-Vergleich Sicherheits-Score, Incident-Response-Checkliste bei Vorfall, Compliance-Export für Audits, GSAP Alert-Puls-Animationen - USE CASE: Plattform-Betreiber überwachen KI-Feature-Nutzung auf Missbrauch und Kosten, Compliance-Teams dokumentieren Sicherheitsmaßnahmen für Audits nachvollziehbar.\n\n110. **#110** — entwickle einen Personal-AI-Knowledge-Assistant Second-Brain - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Notiz-Import Markdown/TXT mit Auto-Tagging via Keyword-Extraktion, Frage-Antwort-Interface über eigene Notizen mit Quellenverweis, Wissensgraph-Ansicht Verknüpfungen zwischen Notizen (D3.js Force-Directed Graph), Tägliche Review-Erinnerung wichtige Notizen, Volltextsuche mit Fuzzy-Matching, Themen-Cluster automatisch erkannt, Zeitleisten-Ansicht Notizen chronologisch, Backlink-Anzeige pro Notiz, Export als strukturiertes PDF, Duplikat-Erkennung ähnlicher Notizen, Lesezeit-Schätzung pro Sammlung, GSAP Graph-Node-Animationen - USE CASE: Wissensarbeiter bauen ein durchsuchbares persönliches Archiv aus Jahren an Notizen auf, Recherche-Teams finden Verbindungen zwischen Themen die sonst verborgen blieben.\n\n## Kategorie 2: TRADING & QUANT-TERMINALS\n\n111. **#111** — erstelle ein Multi-Timeframe-RSI-Momentum-Scanner-Terminal - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: RSI-Berechnung 14/9/21-Perioden gleichzeitig über Timeframes 1H/4H/1D, Watchlist mit Live-Ampel überkauft/überverkauft/neutral, Divergenz-Erkennung Kurs vs RSI automatisch markiert (D3.js Overlay), Multi-Asset-Grid Aktien/Krypto/Forex parallel, Alert-Konfigurator Schwellenwert-basiert, Candlestick-Chart mit RSI-Subplot (ApexCharts Combo), Backtesting-Mini-Modul Trefferquote historisch, Export gefilterter Signale als CSV, Farbcodierte Heatmap-Übersicht Sektoren (D3.js Treemap), Positionsgrößen-Rechner integriert, GSAP Signal-Aufblink-Animationen - USE CASE: Trader scannen dutzende Assets gleichzeitig auf Einstiegssignale ohne mehrere Tabs, Einsteiger lernen RSI-Divergenzen visuell zu erkennen.\n\n112. **#112** — entwickle einen Markov-Chain-Kursprognose-Simulator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zustandsübergangs-Matrix-Editor Auf/Seitwärts/Ab-Wahrscheinlichkeiten, Monte-Carlo-Simulation 1000 Pfade (D3.js Fächer-Diagramm), Historische Kalibrierung aus eingegebenen Kursdaten, Konfidenzintervall-Band um Median-Pfad (ApexCharts Range Area), Zustandsverweildauer-Analyse durchschnittliche Tage pro Regime, Regime-Wechsel-Wahrscheinlichkeits-Heatmap, Vergleich Simuliert vs Tatsächlich Backtesting-Ansicht, Sensitivitäts-Analyse bei Matrix-Änderung Live-Update, Export Simulationsergebnisse CSV, Wahrscheinlichkeits-Baum-Visualisierung 3 Schritte voraus (D3.js Tree), GSAP Pfad-Zeichnungs-Animationen - USE CASE: Quant-affine Trader visualisieren stochastische Kursmodelle statt reiner Chartanalyse, Lernende verstehen Markov-Ketten anhand echter Marktdaten praktisch.\n\n113. **#113** — programmiere einen Options-Pricing & Griechen-Rechner Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Black-Scholes-Rechner Call/Put mit allen Eingabeparametern, Griechen-Dashboard Delta/Gamma/Theta/Vega/Rho mit Erklär-Tooltips, Payoff-Diagramm bei Verfall (ApexCharts Line), Implizite-Volatilität-Solver aus Marktpreis, Volatility-Smile-Visualizer über Strikes (D3.js Kurve), Zeit-Zerfall-Simulator Theta über verbleibende Laufzeit, Strategie-Baukasten Straddle/Strangle/Spread mit kombiniertem Payoff, Sensitivitäts-Slider Live-Neuberechnung bei Parameter-Änderung, Break-Even-Punkt-Anzeige, Vergleich amerikanische vs europäische Optionen, Historische-Volatilität-Rechner aus Kursreihe, GSAP Payoff-Kurven-Animationen - USE CASE: Optionshändler kalkulieren Strategien vor Orderaufgabe ohne Broker-Tool, Studierende lernen Optionsbewertung anhand interaktiver Griechen-Visualisierung.\n\n114. **#114** — baue einen Breakout-Scanner mit Pivot-Punkten Multi-Asset - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pivot-Punkt-Berechnung Standard/Fibonacci/Camarilla, Support-/Resistance-Level-Overlay auf Chart (ApexCharts Annotations), Breakout-Alert bei Level-Durchbruch mit Volumen-Bestätigung, Multi-Asset-Watchlist DAX/Dow/Nasdaq/Krypto parallel, Konsolidierungs-Erkennung enge Range vor Ausbruch, False-Breakout-Filter Mindest-Volumen-Schwelle, Historische Trefferquote pro Level-Typ (ApexCharts Balken), Zeitzonen-Anzeige für internationale Märkte, Volumen-Profil-Overlay (D3.js), Screenshot-Export für Trading-Journal, Sound-Alert-Simulation bei Trigger, GSAP Level-Break-Highlight-Animationen - USE CASE: Daytrader überwachen mehrere Märkte auf Ausbruchssignale gleichzeitig, Swing-Trader planen Einstiege anhand historisch verlässlicher Pivot-Level.\n\n115. **#115** — erstelle einen Crypto-Portfolio-Tracker mit Risiko-Heatmap - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Holdings-Verwaltung BTC/ETH/Altcoins mit manueller Preis-Eingabe (Mock statt Live-API), Allokations-Donut nach Coin und nach Kategorie L1/DeFi/Meme (ApexCharts), Korrelations-Heatmap zwischen Coins (D3.js), Volatilitäts-Ranking 30-Tage-Rolling, Drawdown-Analyse historisch größte Verluste, Rebalancing-Vorschlag bei Zielgewicht-Abweichung, Steuerlot-Tracker FIFO für Verkaufsreihenfolge, Angst-&-Gier-Index-Anzeige Mock-Gauge, Diversifikations-Score Gesamtportfolio, Wal-Bewegungs-Log Mock-Einträge große Transaktionen, Export Portfolio-Snapshot PDF, GSAP Preis-Änderungs-Puls-Animationen - USE CASE: Krypto-Anleger behalten Risikokonzentration über viele Coins hinweg im Blick, Berater zeigen Kunden anschaulich warum Diversifikation auch bei Krypto zählt.\n\n116. **#116** — entwickle ein Saisonalitäts-Analyse-Terminal Monats-Quartals-Pattern - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Monatliche Durchschnittsrendite-Heatmap über 20+ Jahre (D3.js Kalender-Heatmap), Bester/Schlechtester-Monat-Ranking pro Asset, Quartalsvergleich-Chart Multi-Year-Overlay (ApexCharts), Vorwahljahr-Effekt US-Wahlzyklus-Visualizer, Sell-in-May-Analyse historisch, Santa-Claus-Rally-Tracker Dezember-Pattern, Wochentags-Effekt-Analyse Montag vs Freitag Renditen, Feiertags-Volatilitäts-Muster, Statistische Signifikanz-Anzeige pro Pattern, Custom-Zeitraum-Vergleichs-Tool, Export Saisonalitäts-Report PDF, GSAP Kalender-Zell-Animationen - USE CASE: Trader timen Positionen anhand statistisch robuster saisonaler Muster, Content-Ersteller erklären Kunden Marktzyklen mit belastbaren historischen Daten.\n\n117. **#117** — programmiere einen Positionsgrößen & Risikomanagement-Rechner Pro - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Positionsgröße-Rechner aus Kontogröße/Risiko-Prozent/Stop-Distanz, Risk-of-Ruin-Simulator bei Verlustserie (D3.js Monte-Carlo), Kelly-Kriterium-Rechner mit Fractional-Kelly-Option, R-Multiple-Tracker pro Trade Historie, Drawdown-Recovery-Rechner wie viel Prozent Gewinn nötig, Portfolio-Heat-Anzeige Gesamtrisiko offener Positionen (ApexCharts Gauge), Korrelierte-Positionen-Warner ähnliche Assets gleichzeitig offen, Trade-Journal mit Tags Setup/Emotion, Win-Rate-vs-Payoff-Ratio-Matrix Break-Even-Linie, Max-Verlust-pro-Tag-Limiter mit Sperr-Hinweis, Export Trading-Journal CSV, GSAP Risiko-Ampel-Animationen - USE CASE: Trader diszipliniert konsistente Positionsgrößen statt willkürlicher Beträge, Prop-Trading-Aspiranten üben Risikomanagement-Regeln vor echtem Kapitaleinsatz.\n\n118. **#118** — baue einen ETF-Sparplan-Vergleichs-Terminal mit TER-Impact - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Datenbank-Filter nach TER/Fondsgröße/Replikationsmethode/Ausschüttung, Kostenvergleich-Rechner TER-Impact über 30 Jahre (ApexCharts Flächendiagramm), Tracking-Difference-Anzeige vs offizielle TER, Sparplan-Rechner mit dynamischer Raten-Erhöhung, Core-Satellite-Portfolio-Builder Drag&Drop, Steuerliche-Vorabpauschale-Rechner Deutschland, Sparplan-Ausführungstermine-Vergleich Broker-Simulator, Historische-Rendite-Vergleich mehrerer ETFs (D3.js Multi-Line), Ausschüttungskalender thesaurierend vs ausschüttend, Rebalancing-Frequenz-Impact-Simulator, Export Sparplan-Konfiguration PDF, GSAP Kosten-Vergleichs-Balken-Animationen - USE CASE: Selbstentscheider vergleichen ETFs objektiv statt nach Werbung, Berater zeigen Kunden den langfristigen Kosteneffekt kleiner TER-Unterschiede.\n\n119. **#119** — erstelle eine Forex-Korrelations-Matrix & Carry-Trade-Finder - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Währungspaar-Korrelations-Matrix Heatmap 20+ Paare (D3.js), Carry-Trade-Finder Zinsdifferenz-Ranking zwischen Ländern, Risiko-Sentiment-Anzeige Risk-On/Risk-Off Mock-Indikator, Historische-Korrelations-Verschiebung über Zeit (ApexCharts Line), Diversifikations-Check bei Multi-Pair-Positionen, Rollover-Zins-Rechner pro Position, Volatilitäts-Vergleich Paar-Ranking, Wirtschaftskalender-Impact-Simulator hohe/mittlere/niedrige Relevanz, Session-Overlap-Anzeige Tokyo/London/New York, Pip-Wert-Rechner nach Lot-Größe, Export Korrelations-Report, GSAP Matrix-Zell-Hover-Animationen - USE CASE: Forex-Trader vermeiden ungewollte Klumpenrisiken durch korrelierte Positionen, Carry-Trade-Interessierte identifizieren Zinsdifferenz-Chancen systematisch.\n\n120. **#120** — entwickle eine Backtesting-Sandbox für Trading-Strategien No-Code - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelbaukasten Einstieg/Ausstieg per Dropdown ohne Code MA-Crossover/RSI-Schwelle/Breakout, Backtesting-Ausführung auf hochgeladenen CSV-Kursdaten, Equity-Curve-Chart mit Drawdown-Unterlegung (ApexCharts), Kennzahlen-Dashboard Sharpe/Sortino/Max-Drawdown/Profit-Factor, Trade-für-Trade-Liste mit Ein-/Ausstiegs-Markierung im Chart, Parameter-Optimierungs-Grid Heatmap bester Kombinationen (D3.js), Walk-Forward-Analyse-Mock robuste vs überoptimierte Strategien, Vergleich mehrerer Strategie-Varianten Side-by-Side, Monte-Carlo-Robustheitstest Trade-Reihenfolge zufällig, Export Backtest-Report PDF, Strategie-Bibliothek speichern/laden, GSAP Equity-Curve-Zeichnungs-Animationen - USE CASE: Angehende Systematik-Trader testen Ideen ohne Programmierkenntnisse, Trading-Coaches demonstrieren live warum Overfitting bei Optimierung ein Risiko ist.\n\n## Kategorie 3: FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE\n\n121. **#121** — erstelle einen Investor-Pitchdeck-Generator interaktiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Slide-Editor mit vordefinierten Pitch-Struktur-Templates Problem/Lösung/Markt/Traction/Team/Ask, Finanz-Projektions-Chart 3-5-Jahres-Forecast (ApexCharts), Cap-Table-Mini-Visualizer, TAM-SAM-SOM-Kreisdiagramm (D3.js), Traction-Metriken-Dashboard MRR/Nutzer/Wachstum, Wettbewerbs-Positionierungs-Matrix 2x2, Team-Slide-Builder mit Foto-Platzhaltern, Präsentations-Modus Vollbild mit Tastatur-Navigation, Notizen-Ansicht für Presenter, Export als druckbares PDF, Versionshistorie mehrerer Pitch-Varianten, GSAP Slide-Übergangs-Animationen - USE CASE: Gründer bauen ein konsistentes Pitchdeck ohne Design-Tool-Kenntnisse, Berater erstellen Investoren-Unterlagen für Kunden mit einheitlichem Corporate Design.\n\n122. **#122** — entwickle einen Genussschein-/Zertifikat-Ausgabe-Konfigurator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeichnungsformular Betrag/Laufzeit/Zinssatz-Variante, Renditesimulation über Laufzeit (ApexCharts Flächendiagramm), Risikohinweise-Sektion mit Pflicht-Checkbox vor Fortfahren, Zeichnungsvolumen-Fortschrittsbalken Kampagnen-Ziel, Zins-vs-Laufzeit-Vergleichsmatrix mehrerer Varianten, Steuerliche-Behandlung-Erklär-Panel, Rückzahlungsplan-Visualisierung (D3.js Timeline), Zeichner-Übersicht anonymisiert Verteilung nach Betragsgröße, Dokumenten-Download Prospekt/Bedingungen, Zeichnungsbestätigung-PDF-Generator, Sekundärmarkt-Hinweis-Panel, GSAP Fortschritts-Animationen - USE CASE: Emittenten präsentieren Zeichnungsangebote mit klarer Risikokommunikation, Interessenten simulieren Rendite-Szenarien vor Zeichnung.\n\n123. **#123** — programmiere einen Case-Study-Showcase-Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorher-Nachher-Vergleichs-Slider visuell, ROI-Kennzahlen-Karten mit Animations-Counter, Kunden-Testimonial-Karussell mit Sternebewertung, Zeitleiste Projektverlauf Meilensteine (D3.js), Ergebnis-Chart-Baukasten Umsatz/Effizienz/Zufriedenheit (ApexCharts), Branchen-Filter für Case-Study-Bibliothek, PDF-Export einzelner Case Studies, Ähnliche-Case-Studies-Empfehlung, Video-Testimonial-Platzhalter-Player, Vergleichstabelle mehrere Case Studies nebeneinander, Lead-Erfassungs-Formular am Ende, GSAP Zahlen-Hochzähl-Animationen - USE CASE: Agenturen präsentieren Kundenerfolge überzeugend im Sales-Prozess, Marketing-Teams pflegen eine durchsuchbare Case-Study-Bibliothek zentral.\n\n124. **#124** — baue eine Business-Plan-Workbench mit Finanzmodell - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierter Business-Plan-Editor nach Kapiteln, 3-Jahres-Finanzmodell Umsatz/Kosten/Gewinn editierbar (ApexCharts Combo-Chart), Break-Even-Rechner mit Visualisierung, Liquiditätsplan monatlich erste 12 Monate, Personalkosten-Planer mit Einstellungs-Zeitplan, Szenario-Vergleich Best/Base/Worst-Case (D3.js Fächer), SWOT-Analyse-Matrix interaktiv, Finanzierungsbedarf-Rechner mit Runway-Anzeige, Meilenstein-Roadmap-Timeline, Export vollständiger Businessplan als PDF, Kennzahlen-Ampel-Dashboard Gesundheitscheck, GSAP Chart-Aufbau-Animationen - USE CASE: Gründer entwickeln einen bankfähigen Businessplan mit belastbarem Finanzmodell, Berater begleiten Existenzgründer strukturiert durch die Planungsphase.\n\n125. **#125** — erstelle einen Whitepaper-Compliance-Dokument-Viewer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktives Inhaltsverzeichnis mit Sprungmarken, Lesefortschritt-Anzeige Scrollbalken-Prozent, Glossar-Popover für Fachbegriffe bei Hover, Abschnitts-Zusammenfassungen einklappbar, Versionsvergleich zwei Dokumentversionen Diff-Ansicht, Zitier-Funktion Textstelle kopieren mit Quellenangabe, Suchfunktion Volltext mit Ergebnis-Hervorhebung, Lesezeit-Schätzung pro Abschnitt, Download-Optionen PDF/Markdown, Bestätigungs-Log gelesen-und-verstanden mit Zeitstempel, Mehrsprachigkeits-Umschalter, GSAP Abschnitts-Einblend-Animationen - USE CASE: Compliance-Teams stellen sicher dass Mitarbeiter Richtliniendokumente nachweislich gelesen haben, Rechtsabteilungen veröffentlichen komplexe Whitepaper zugänglich strukturiert.\n\n126. **#126** — entwickle einen Kapitalstruktur & Cap-Table-Visualizer für Startups - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Cap-Table-Editor Gründer/Investoren/ESOP-Anteile, Verwässerungs-Simulator bei neuer Finanzierungsrunde (ApexCharts Stacked Bar über Runden), Liquidation-Preference-Rechner bei Exit-Szenarien, Anteilsentwicklung-Timeline über Runden (D3.js Sankey), ESOP-Pool-Planer Größe und Vesting-Schedule, Exit-Szenario-Rechner Verteilung des Erlöses nach Stakeholder, Pro-Rata-Rechte-Tracker Investoren, Down-Round-Impact-Simulator, Option-Vesting-Cliff-Visualizer pro Mitarbeiter, Vergleich Pre-Money vs Post-Money-Bewertung, Export Cap-Table als Excel-kompatibles CSV, GSAP Anteils-Verschiebungs-Animationen - USE CASE: Gründer verstehen Verwässerungseffekte vor Finanzierungsrunden-Verhandlungen, Investoren prüfen Cap-Table-Historie und Liquidationspräferenzen vor Investment-Entscheidung.\n\n127. **#127** — programmiere ein Quartals-Strategiebericht-Dashboard mit OKR-Tracking - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: OKR-Baum Objectives mit verknüpften Key Results (D3.js Hierarchie), Fortschritts-Ampel pro Key Result rot/gelb/grün, Quartalsvergleich-Chart Zielerreichung über Zeit (ApexCharts), Team-Beitrags-Übersicht wer treibt welches Ergebnis, Check-in-Historie wöchentliche Updates pro OKR, Confidence-Score-Trend pro Objective, Strategiekarte-Visualisierung Verknüpfung Vision zu Zielen, Risiko-Flag-System bei Rückstand, Kommentar-Thread pro Key Result, Export Quartalsbericht als Präsentation, Retrospektive-Sektion gelernte Lektionen, GSAP Fortschrittsbalken-Animationen - USE CASE: Führungsteams verfolgen strategische Ziele quartalsweise transparent statt in Excel-Listen, Mitarbeiter sehen wie ihr Beitrag auf übergeordnete Unternehmensziele einzahlt.\n\n128. **#128** — baue einen Fund-Performance-Report-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Renditevergleich Fonds vs Benchmark über Zeitraum (ApexCharts Line-Overlay), Risikokennzahlen-Tabelle Volatilität/Sharpe/Max-Drawdown, Sektor- und Länderallokation (D3.js Treemap), Attributions-Analyse Outperformance-Quellen, Top-10-Holdings-Tabelle mit Gewichtung, Peer-Group-Vergleich Ranking-Perzentil, Ausschüttungshistorie-Chart, Kostenkennzahlen TER/Transaktionskosten transparent, Zeitraum-Selektor 1J/3J/5J/Seit Auflage, Automatischer Kommentar-Textbaustein basierend auf Kennzahlen, PDF-Export Factsheet-Format, GSAP Kennzahlen-Counter-Animationen - USE CASE: Fondsmanager erstellen regelmäßige Performance-Reports für Anleger konsistent, Vertriebsteams nutzen Factsheets als Verkaufsunterlage mit aktuellen Kennzahlen.\n\n129. **#129** — erstelle eine Due-Diligence-Checkliste & Datenraum-Simulator - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorisierte DD-Checkliste Finanzen/Recht/Personal/IT/Markt mit Fortschrittsbalken, Dokumenten-Ablagestruktur-Mockup Ordnerbaum (D3.js), Red-Flag-Markierungs-System pro Punkt mit Kommentarfeld, Zugriffsprotokoll-Simulation wer hat was wann eingesehen, Fragen-Antworten-Log Q&A-Prozess strukturiert, Fortschritts-Dashboard Gesamtstatus über alle Kategorien (ApexCharts Radial), Risiko-Bewertungs-Matrix Impact vs Wahrscheinlichkeit, Verantwortlichkeiten-Zuweisung pro Checklistenpunkt, Termin-Tracker Deadline pro Workstream, Export Due-Diligence-Report Zusammenfassung, Vertraulichkeitsstufen-Kennzeichnung Dokumente, GSAP Checklisten-Abhak-Animationen - USE CASE: M&A-Teams strukturieren Due-Diligence-Prozesse nachvollziehbar für alle Beteiligten, Käufer und Verkäufer behalten Übersicht über offene Punkte im Transaktionsprozess.\n\n130. **#130** — entwickle einen Marketing-GTM-Playbook-Builder interaktiv - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zielgruppen-Persona-Builder mit Steckbrief-Karten, Kanal-Strategie-Matrix Reichweite vs Kosten pro Kanal (D3.js Scatter), Content-Kalender-Planer Drag&Drop nach Wochen, Funnel-Visualisierung Awareness bis Conversion mit Konversionsraten (ApexCharts Funnel), Budget-Allokations-Rechner nach Kanal, Kampagnen-Timeline mit Meilensteinen, Messaging-Framework-Editor Value Proposition pro Segment, Wettbewerbs-Vergleichstabelle Positionierung, KPI-Zielvorgaben-Dashboard pro Kanal, Launch-Checkliste mit Verantwortlichkeiten, Export Playbook als Team-Handbuch PDF, GSAP Funnel-Fluss-Animationen - USE CASE: Marketing-Teams entwickeln einen strukturierten Go-To-Market-Plan für neue Produkte, Führungskräfte erhalten eine klare Übersicht über Kanal-Budget-Allokation vor Freigabe.\n\n## Kategorie 4: DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES\n\n131. **#131** — erstelle einen JWT-Decoder & Token-Debugger Pro - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Live-Decodierung Header/Payload/Signature farbcodiert, Signatur-Prüfung mit eingegebenem Secret HS256/RS256, Ablaufzeit-Countdown mit Warnfarbe bei baldigem Expiry, Claims-Editor zum Testen modifizierter Payloads, Token-Historie letzte 20 dekodierte Tokens, Algorithmus-Vergleichstabelle Sicherheitsempfehlungen, Base64URL-Encoder/Decoder-Zusatztool, Token-Größen-Analyse Header/Payload/Signature-Anteile (ApexCharts Donut), Bekannte-Schwachstellen-Warnhinweise alg-none-Angriff etc., Copy-to-Clipboard pro Sektion, Dunkles Entwickler-Theme, GSAP Decodier-Animationen - USE CASE: Backend-Entwickler debuggen Auth-Probleme ohne Token in unsichere Online-Tools einzufügen, Sicherheitsteams prüfen Token-Konfiguration auf bekannte Schwachstellen lokal.\n\n132. **#132** — entwickle eine API-Request-Sandbox REST-Client - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Request-Builder Methode/URL/Header/Body mit Syntax-Highlighting, Umgebungsvariablen-Verwaltung Dev/Staging/Prod, Response-Viewer formatiert JSON mit Kollabier-Funktion, Response-Zeit-Historie-Chart pro Endpoint (ApexCharts Sparkline), Request-Collections-Ordnerstruktur, Diff-Ansicht zwischen zwei Responses, Header-Bibliothek häufige Presets Auth/Content-Type, cURL-Export generiert Copy-Paste-Befehl, Status-Code-Verteilungs-Dashboard über Session (D3.js), Mock-Response-Modus für Offline-Entwicklung, Request-Verlauf durchsuchbar, GSAP Response-Einblend-Animationen - USE CASE: Entwickler testen APIs während der Entwicklung ohne externe Tools zu installieren, QA-Teams dokumentieren Request-Collections für Regressionstests.\n\n133. **#133** — programmiere einen interaktiven Coding-Kurs-Player mit Live-Editor - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Lektion-Sidebar mit Fortschritts-Checkmarks, Live-Code-Editor mit sofortiger Ausführung im Browser, Test-Runner zeigt Pass/Fail pro Aufgabe farbcodiert, Hint-System gestaffelte Tipps bei Bedarf, Lösungs-Vergleich nach eigenem Versuch, XP-/Level-System mit Fortschrittsbalken (ApexCharts Radial), Lernpfad-Baum-Visualisierung Abhängigkeiten zwischen Lektionen (D3.js), Zeit-pro-Lektion-Tracking, Zertifikat-Generator bei Kursabschluss, Code-Playground frei zum Experimentieren, Diskussions-Notizen pro Lektion, GSAP Fortschritts-Level-Up-Animationen - USE CASE: Lernplattformen bieten praxisnahes Coding-Training mit sofortigem Feedback, Selbstlerner verfolgen ihren Fortschritt strukturiert durch einen Lernpfad.\n\n134. **#134** — baue einen Prüfungssimulator mit adaptivem Schwierigkeitsgrad - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fragenkatalog nach Fach/Thema kategorisiert, Adaptive Schwierigkeits-Anpassung basierend auf Antwortverlauf, Timer pro Frage und Gesamtprüfung, Sofort-Feedback mit Erklärung bei falscher Antwort, Schwachstellen-Analyse nach Prüfung Themen-Heatmap (D3.js), Fortschritts-Chart über mehrere Prüfungsversuche (ApexCharts Line), Fragenpool-Statistik Schwierigkeitsverteilung, Simulierte-Prüfungsbedingungen-Modus ohne Pause, Falsch-beantwortete-Fragen-Wiederholungsmodus, Zertifikats-Vorbereitungs-Fortschrittsanzeige, Multiple-Choice und Freitext-Fragetypen, GSAP Antwort-Feedback-Animationen - USE CASE: Prüfungskandidaten bereiten sich realistisch auf IHK-/Sachkunde-Prüfungen vor, Bildungsanbieter identifizieren individuelle Wissenslücken zur gezielten Nachschulung.\n\n135. **#135** — erstelle ein Formel-Wissens-Nachschlagewerk mit LaTeX-Rendering - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Formel-Datenbank kategorisiert Mathematik/Physik/Finanzen, LaTeX-Rendering für saubere Formel-Darstellung, Interaktiver Formel-Rechner Variablen eingeben Ergebnis live, Herleitungs-Schritte einklappbar pro Formel, Verwandte-Formeln-Verlinkung Graph-Ansicht (D3.js), Volltextsuche über Formelnamen und Anwendungsgebiete, Lesezeichen-Sammlung häufig genutzte Formeln, Beispielaufgaben pro Formel mit Lösungsweg, Einheiten-Umrechner-Zusatztool, Druckansicht Formelsammlung als PDF, Dunkles Lese-Theme augenschonend, GSAP Formel-Einblend-Animationen - USE CASE: Studierende nutzen die App als digitale Formelsammlung in Prüfungsvorbereitung, Praktiker schlagen Finanzformeln mit sofortiger Berechnungsmöglichkeit nach.\n\n136. **#136** — entwickle einen interaktiven Vibe-Coding-Guide Schritt-für-Schritt - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Workflow-Stepper Idee-zu-Spezifikation-zu-Code-zu-Prüfung-zu-Handoff, Prompt-Vorlagen-Bibliothek pro Schritt mit Copy-Button, Vorher-Nachher-Beispiele guter vs schlechter Prompts, Checklisten-Sidebar pro Phase, Best-Practice-Tipps als aufklappbare Karten, Fortschritts-Tracker eigenes Projekt durch die Phasen (ApexCharts Stepper), Häufige-Fehler-Galerie mit Erklärung, Interaktives Glossar KI-Coding-Begriffe, Zeitersparnis-Rechner geschätzt vs traditionelle Entwicklung, Community-Tipps-Sektion Platzhalter-Einträge, Export eigener Workflow-Notizen, GSAP Stepper-Übergangs-Animationen - USE CASE: Entwickler-Teams etablieren einen konsistenten KI-unterstützten Entwicklungs-Workflow, Onboarding neuer Teammitglieder in KI-gestützte Coding-Praktiken wird strukturiert.\n\n137. **#137** — programmiere einen Regex-Tester & Cheat-Sheet-Builder - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Live-Regex-Tester mit Highlight der Treffer im Testtext, Gruppen-Erfassungs-Anzeige nummeriert und benannt, Regex-Erklärung-Panel zerlegt Pattern in verständliche Teile, Häufige-Patterns-Bibliothek E-Mail/URL/Telefonnummer copy-paste, Flags-Umschalter global/case-insensitive/multiline live, Ersetzungs-Vorschau mit Capture-Group-Referenzen, Performance-Warnung bei potenziell langsamem Pattern catastrophic backtracking, Eigene-Patterns-Sammlung speichern mit Namen, Sprachvergleich Syntax-Unterschiede JS/Python/PHP, Test-Fälle-Batch mehrere Testtexte gleichzeitig, Export Cheat-Sheet als PDF, GSAP Treffer-Highlight-Animationen - USE CASE: Entwickler entwickeln und testen komplexe Regex-Patterns visuell statt durch Trial-and-Error im Code, Teams bauen eine gemeinsame Pattern-Bibliothek für wiederkehrende Validierungen.\n\n138. **#138** — baue einen Embedding-Vektorsuche-Playground - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Text-Eingabe-Liste zum Vergleichen mehrerer Sätze, Cosine-Similarity-Matrix zwischen allen Eingaben (D3.js Heatmap), 2D-Projektions-Visualisierung Embeddings-Cluster (D3.js Scatter mit Mock-Dimensionsreduktion), Nächste-Nachbarn-Suche Top-K-Ergebnisse mit Score, Chunking-Strategie-Vergleich Satz vs Absatz vs Fixed-Size, Ähnlichkeits-Schwellenwert-Slider Live-Filterung, Vektordimensions-Erklär-Panel, Batch-Import Textliste aus Datei, Cluster-Erkennung automatisch gruppiert ähnliche Texte, Export Similarity-Matrix als CSV, Farbcodierte Ähnlichkeits-Legende, GSAP Cluster-Bildungs-Animationen - USE CASE: Entwickler verstehen Embedding-basierte Suche visuell bevor sie RAG-Systeme bauen, Data-Scientists testen Chunking-Strategien vor Produktiv-Einsatz.\n\n139. **#139** — erstelle einen Git-Workflow-Simulator Branch-Visualizer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktiver Branch-Graph-Visualizer Commits als Knoten (D3.js), Simulierte Git-Befehle Branch/Merge/Rebase mit visueller Auswirkung, Merge-Konflikt-Trainer künstliche Konflikte lösen im Editor, Commit-Historie-Zeitleiste mit Nachrichten, Branching-Strategie-Vorlagen GitFlow/Trunk-Based als Diagramm, Befehls-Cheat-Sheet kontextsensitiv zur aktuellen Situation, Undo-Redo für Simulationsschritte, Szenario-Bibliothek häufige Git-Probleme zum Üben, Fortschritts-Tracker abgeschlossene Übungen, Erklär-Tooltips bei jedem simulierten Befehl, Export Diagramm als Bild, GSAP Branch-Erstellungs-Animationen - USE CASE: Einsteiger lernen Git-Konzepte gefahrlos ohne echtes Repository zu riskieren, Teams üben Merge-Konflikt-Auflösung in einer sicheren Sandbox vor echten Projekten.\n\n140. **#140** — entwickle einen Docs-Doctor Dokumentations-Qualitäts-Scanner - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Markdown-Upload-Analyse Lesbarkeits-Score Flesch-Kincaid-artig, Struktur-Check fehlende Überschriften-Ebenen oder Abschnitte, Lücken-Finder erwähnte aber nicht erklärte Begriffe, Link-Validitäts-Check interne Anker vorhanden, Konsistenz-Prüfung Terminologie einheitlich verwendet, Vollständigkeits-Checkliste Standard-Abschnitte vorhanden Installation/Nutzung/API, Wortwiederholungs-Analyse Stil-Verbesserung, Qualitäts-Score-Verlauf bei mehreren Scans über Zeit (ApexCharts Line), Vergleich mehrerer Dokumente Ranking (D3.js Balken), Verbesserungsvorschläge priorisiert nach Impact, Export Analyse-Report PDF, GSAP Score-Reveal-Animationen - USE CASE: Entwickler-Teams verbessern README- und API-Dokumentation systematisch vor Release, Technical Writer identifizieren Qualitätslücken über viele Dokumente hinweg schnell.\n\n## Kategorie 5: NEWS, DATENFEEDS & OSINT\n\n141. **#141** — erstelle einen Multi-Source-News-Aggregator mit Sentiment-Ampel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: News-Feed-Grid nach Quelle/Kategorie filterbar, Sentiment-Ampel pro Artikel positiv/neutral/negativ Mock-Klassifikation, Themen-Cluster-Ansicht verwandte Artikel gruppiert, Sentiment-Verlauf über Zeit pro Thema (ApexCharts Line), Lesezeit-Schätzung pro Artikel, Wichtigkeits-Score-Ranking Top-Meldungen hervorgehoben, Eigene-Themen-Watchlist mit Push-ähnlicher Hervorhebung, Quellen-Vertrauenswürdigkeits-Kennzeichnung, Artikel-Speicher-Funktion Später-Lesen-Liste, Volltext-Suche über gespeicherte Artikel, Export Tages-Briefing als PDF-Zusammenfassung, GSAP Feed-Einblend-Animationen - USE CASE: Analysten überblicken relevante Nachrichten zu Beobachtungsthemen ohne viele Seiten zu besuchen, Kommunikationsteams verfolgen Sentiment-Entwicklung zu Unternehmensthemen.\n\n142. **#142** — entwickle eine OSINT-Recherche-Matrix Verknüpfungs-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entitäten-Erfassung Personen/Firmen/Orte als Knoten anlegen, Beziehungs-Graph zwischen Entitäten (D3.js Force-Directed), Zeitleisten-Ansicht bekannter Ereignisse pro Entität, Quellen-Dokumentation pro Verknüpfung mit Link, Notiz-Anhänge pro Knoten, Suchfunktion über alle erfassten Entitäten, Export Graph als Bild für Berichte, Verdachtsgrad-Kennzeichnung pro Verbindung bestätigt/vermutet, Cluster-Erkennung eng verbundener Gruppen, Zeitstempel-Historie wann Info hinzugefügt wurde, Vertraulichkeitsstufen-Markierung, GSAP Graph-Aufbau-Animationen - USE CASE: Investigative Recherche-Teams visualisieren komplexe Beziehungsnetzwerke aus öffentlich verfügbaren Quellen, Compliance-Abteilungen dokumentieren Zusammenhänge bei Sanktionsprüfungen nachvollziehbar.\n\n143. **#143** — programmiere einen Wetter-zu-Handelssignal-Korrelator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wetterdaten-Eingabe Temperatur/Niederschlag pro Region, Rohstoffpreis-Overlay Agrarrohstoffe/Energie (ApexCharts Dual-Axis), Historische-Korrelations-Berechnung Wetter vs Preis, Saisonale-Muster-Erkennung Dürre/Frost-Perioden markiert, Regions-Karte betroffene Anbaugebiete (D3.js Choropleth Mock), Wetterextrem-Alert-Log historische Ereignisse mit Preisauswirkung, Vergleichs-Tool mehrere Rohstoffe gleichzeitig, Korrelations-Stärke-Anzeige mit Konfidenz, Prognose-Szenario bei angenommenem Wetterereignis, Export Analyse-Chart, Glossar Wetter-Fachbegriffe für Trader, GSAP Karten-Highlight-Animationen - USE CASE: Rohstoffhändler verstehen Wetterrisiken für Agrar- und Energiepreise strukturiert, Analysten erstellen Research-Notes mit historischer Evidenz zu Wetter-Preis-Zusammenhängen.\n\n144. **#144** — baue ein Live-Wetter-Radar-Dashboard mit Warnstufen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regionale-Wetterkarte mit Radar-Overlay-Mockup, Warnstufen-Ampel-System nach Schweregrad, 7-Tage-Vorhersage-Karten mit Icons, Historische-Wetterdaten-Chart Temperaturverlauf (ApexCharts), Extremwetter-Wahrscheinlichkeits-Anzeige, Standort-Favoriten-Verwaltung mehrere Orte, Push-Warnung-Simulation bei Unwetter-Ankündigung, Aktivitäts-Empfehlung basierend auf Wetter Outdoor-geeignet Ja/Nein, Luftqualitäts-Index-Anzeige zusätzlich, Sonnenauf-/untergangszeiten-Rechner, Export Wetterbericht als Bild zum Teilen, GSAP Warnstufen-Puls-Animationen - USE CASE: Nutzer planen Aktivitäten anhand verlässlicher Kurz- und Mittelfrist-Prognosen, Einsatzplaner in Außendienstberufen prüfen Warnstufen vor Terminplanung.\n\n145. **#145** — erstelle einen Gesetzes-Regulatorik-Tracker mit Diff-Ansicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gesetzesänderungs-Feed nach Rechtsgebiet kategorisiert, Diff-Ansicht alte vs neue Gesetzesfassung farbcodiert, Relevanz-Filter nach Branche/Abteilung, Zeitleiste anstehender Inkrafttretungs-Termine (D3.js), Auswirkungs-Einschätzung Ampel-System pro Änderung, Kommentarfunktion interne Einschätzung pro Thema, Verantwortlichkeits-Zuweisung wer prüft welche Änderung, Volltextsuche über erfasste Regularien, Erinnerungs-Kalender vor Inkrafttreten, Compliance-Status-Dashboard umgesetzt/in Bearbeitung/offen (ApexCharts), Export Regulatorik-Report für Management, GSAP Diff-Highlight-Animationen - USE CASE: Compliance-Teams verfolgen relevante Gesetzesänderungen systematisch statt Newsletter zu durchforsten, Rechtsabteilungen dokumentieren Umsetzungsstatus für Audits nachvollziehbar.\n\n146. **#146** — entwickle einen Feiertags & Handelskalender-Planer International - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mehrländer-Feiertagskalender mit Börsenöffnungszeiten, Handelsfreie-Tage-Übersicht nach Börse DAX/Dow/Nikkei, Überschneidungs-Finder Feiertage mehrerer Länder, Liquiditäts-Warnung an Tagen mit reduziertem Handel, Zeitzonen-Umrechner für internationale Meetings, Export Kalender als ICS-Datei, Jahresübersicht-Heatmap Handelstage vs Feiertage (D3.js Kalender), Individuelle-Ereignisse hinzufügen eigene Termine, Erinnerungs-Funktion vor wichtigen Terminen, Vergleich Handelstage-Anzahl pro Börse und Jahr (ApexCharts Balken), Brückentag-Planer-Hinweis, GSAP Kalender-Monatswechsel-Animationen - USE CASE: Internationale Trading-Teams planen Handelsaktivität um globale Feiertage herum, Reisebüros und Vertriebsteams koordinieren Termine über Zeitzonen und Feiertage hinweg.\n\n147. **#147** — programmiere ein Space-Weather & NASA-Datenfeed-Dashboard - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sonnenaktivitäts-Anzeige Sonnenflecken-Index Mock-Daten, Geomagnetischer-Sturm-Warnstufen-Ampel, ISS-Position-Tracker-Mockup mit Umlaufbahn-Karte (D3.js), Erdnahe-Objekte-Liste NEO mit Größe/Distanz, Weltraumwetter-Auswirkungs-Erklärung GPS/Funk/Stromnetz, Historische-Sonnensturm-Ereignisse-Zeitleiste, Aurora-Sichtbarkeits-Wahrscheinlichkeits-Karte nach Breitengrad, Mond-Phasen-Kalender, Satelliten-Anzahl-Statistik nach Umlaufbahn-Typ (ApexCharts Donut), Bildungs-Glossar Weltraumwetter-Begriffe, Export Tagesreport, GSAP Orbit-Animationen - USE CASE: Weltraum-Enthusiasten verfolgen aktuelle Sonnenaktivität und Aurora-Chancen verständlich aufbereitet, Bildungseinrichtungen nutzen das Dashboard als anschauliches Lehrmittel für Astronomie.\n\n148. **#148** — baue einen Finanznachrichten-Analyzer mit Kursreaktions-Overlay - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Nachrichten-Feed mit Zeitstempel gekoppelt an Kurschart, Kursreaktion-Overlay zeigt Bewegung nach Meldung (ApexCharts Annotations), Kategorisierung Gewinnwarnung/Übernahme/Regulatorik/Makro, Historische-Ähnliche-Ereignisse-Finder Pattern-Matching Mock, Überraschungs-Score geplant vs unerwartet, Volumen-Spike-Korrelation mit Newsflow (D3.js), Sentiment-vs-Kursreaktion-Scatter-Plot, Watchlist-Integration nur relevante Assets, Nachrichten-Wichtigkeits-Filter Breaking/Normal, Zeitverzögerungs-Analyse wie schnell reagiert der Markt, Export Ereignis-Analyse-Report, GSAP Kursreaktions-Highlight-Animationen - USE CASE: Trader analysieren wie Kurse historisch auf ähnliche Nachrichten reagiert haben, Research-Analysten dokumentieren Event-Studies für interne Berichte.\n\n149. **#149** — erstelle einen Social-Media-Trend-Radar Hashtag-Volumen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trend-Ranking-Liste nach Volumen und Wachstumsrate, Hashtag-Volumen-Verlauf-Chart über Zeit (ApexCharts Line), Themen-Cluster-Visualisierung verwandte Trends (D3.js), Geografische-Verteilung-Mock-Karte wo Trend stärkst, Sentiment-Verteilung pro Trend positiv/negativ/gemischt, Influencer-Beteiligungs-Indikator Mock, Trend-Lebenszyklus-Phase aufsteigend/Peak/abklingend, Wettbewerbs-Marken-Erwähnungs-Vergleich, Alert-Konfiguration bei Trend-Schwellenwert-Überschreitung, Export Trend-Report für Marketing-Team, Zeitzonen-adjustierte Aktivitäts-Heatmap, GSAP Trend-Aufstiegs-Animationen - USE CASE: Marketing-Teams erkennen relevante Trends frühzeitig für Content-Planung, Kommunikationsabteilungen überwachen Markenerwähnungen im Vergleich zum Wettbewerb.\n\n150. **#150** — entwickle ein Krisen-Ereignis-Frühwarnsystem-Dashboard - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ereignis-Feed kategorisiert Geopolitik/Wirtschaft/Naturkatastrophen, Risiko-Score-Ampel pro Region (D3.js Choropleth Mock), Eskalations-Stufen-Anzeige beobachtet/erhöht/kritisch, Betroffenheits-Analyse eigene Standorte/Lieferketten markiert, Historische-Krisen-Vergleich ähnliche vergangene Ereignisse, Reaktionsplan-Checkliste pro Krisentyp, Kommunikations-Eskalationskette wer wird wann informiert, Zeitleiste Ereignisentwicklung (D3.js), Impact-Schätzung finanziell/operational (ApexCharts Gauge), Lessons-Learned-Dokumentation nach Ereignis, Export Krisenreport für Management, GSAP Eskalations-Alarm-Animationen - USE CASE: Risikomanagement-Teams erkennen aufkommende Krisen frühzeitig und koordinieren Reaktionen strukturiert, Führungskräfte erhalten kompakte Impact-Einschätzungen für schnelle Entscheidungen.\n\n## Kategorie 6: REISE-, WETTER- & OUTDOOR-TOOLS\n\n151. **#151** — erstelle einen interaktiven Reiseführer-Baukasten mit Karte & Geheimtipp-Filter - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Interaktive Karte mit kategorisierten Pins Strand/Kultur/Natur/Geheimtipp, Filter-Leiste Region und Kategorie kombinierbar, Orts-Detailkarten mit Bild/Beschreibung/UNESCO-Kennzeichnung, Praktische-Infos-Panel Währung/Sprache/Sicherheit, Routen-Vorschläge zwischen ausgewählten Orten, Eigene-Reiseliste zusammenstellen und exportieren, Bewertungs-/Notiz-Funktion pro Ort persönlich, Saisonale-Empfehlungen beste Reisezeit pro Ort, Offline-Karten-Hinweis für Vorab-Download, Entfernungsrechner zwischen Orten, Foto-Galerie pro Sehenswürdigkeit, GSAP Karten-Pin-Einblend-Animationen - USE CASE: Reisende planen individuelle Routen abseits ausgetretener Pfade mit verlässlichen Praxis-Infos, Reiseblogger bauen wiederverwendbare interaktive Guides für verschiedene Regionen.\n\n152. **#152** — entwickle einen Roadtrip-Routenplaner mit Ladestationen & Gefahrenzonen - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Routenberechnung zwischen Wegpunkten mit mehreren Zwischenstopps, E-Ladestationen-Layer entlang der Strecke, Nachtfahrt-Gefahrenzonen-Overlay markiert, Tages-Etappen-Planer mit Fahrzeit-Schätzung, Übernachtungs-Vorschläge entlang der Route, Tankstellen-/Rastplatz-Layer, Wetter-entlang-der-Route-Anzeige pro Etappe, Höhenprofil-Chart der Strecke (ApexCharts Area), Reisekosten-Schätzung Sprit/Maut/Übernachtung, PNG-Export der geplanten Route, Mehrere-Tile-Layer-Optionen Satellit/Terrain/Standard, GSAP Routen-Zeichnungs-Animationen - USE CASE: Familien planen mehrtägige Autoreisen mit realistischer Etappenplanung, E-Auto-Fahrer stellen sicher dass Ladestationen entlang der gesamten Strecke verfügbar sind.\n\n153. **#153** — programmiere einen Reisebudget & Ausgaben-Tracker Multi-Währung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Budget-Kategorien Unterkunft/Essen/Transport/Aktivitäten mit Limits, Ausgaben-Erfassung mit automatischer Währungsumrechnung, Tagesbudget-vs-Ist-Vergleich (ApexCharts Balken), Reisekasse-Übersicht mehrere Währungen gleichzeitig, Ausgaben-Kategorien-Donut pro Reise, Splitting-Rechner Kosten unter Mitreisenden aufteilen, Kurshistorie-Chart der genutzten Währungen, Reisevergleich mehrere vergangene Reisen nebeneinander, Wechselkurs-Alarm bei günstigem Kurs, Beleg-Foto-Anhang pro Ausgabe, Export Reiseabrechnung als PDF, GSAP Budget-Balken-Animationen - USE CASE: Reisende behalten Ausgaben über mehrere Währungen hinweg im Blick ohne Excel, Gruppenreisen teilen gemeinsame Kosten fair und nachvollziehbar auf.\n\n154. **#154** — baue einen Guide-Trinkgeld & Einkommens-Kalkulator - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Einflussfaktoren-Eingabe Wetter/Gruppengröße/Nationalitäten-Mix, Trinkgeld-Prognose basierend auf historischen Einträgen (ApexCharts Regression-Linie), Tour-Historie-Log mit tatsächlichem Trinkgeld pro Tour, Saisonale-Muster-Analyse beste/schlechteste Monate, Gruppengrößen-Schwellenwert-Analyse ab wann Trinkgeld steigt, Wetter-Korrelations-Anzeige, Einkommens-Ziel-Tracker monatlich, Vergleich verschiedener Tour-Typen Rentabilität, Statistik-Dashboard Durchschnitt/Median/Bestes-Ergebnis, Notizfeld pro Tour besondere Umstände, Export Einkommens-Übersicht für Steuerzwecke, GSAP Prognose-Update-Animationen - USE CASE: Freiberufliche Guides schätzen ihr variables Einkommen realistischer ein, Tour-Anbieter optimieren Gruppengrößen basierend auf historischer Trinkgeld-Datenanalyse.\n\n155. **#155** — erstelle einen Packlisten-Generator nach Reiseziel & Klima - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Klimazone-basierte Vorschlagslisten Tropisch/Gemäßigt/Kalt/Wüste, Reisedauer-Anpassung Anzahl Kleidungsstücke skaliert, Aktivitäts-Module Wandern/Business/Strand als Zusatzkategorien, Abhak-Fortschritt mit Prozentanzeige (ApexCharts Radial), Gewichts-Rechner geschätztes Gepäckgewicht, Gepäckkategorien Handgepäck/Aufgabegepäck-Zuordnung, Wiederverwendbare-Vorlagen für wiederkehrende Reisetypen, Vergessens-Warnung häufig vergessene Gegenstände, Familienpackliste mehrere Personen gruppiert, Wetter-Integration Anpassung basierend auf Vorhersage, Export als druckbare Checkliste, GSAP Abhak-Animationen - USE CASE: Vielreisende erstellen schnell passgenaue Packlisten statt jedes Mal neu zu überlegen, Familien koordinieren Gepäck für mehrere Personen ohne etwas zu vergessen.\n\n156. **#156** — entwickle einen Sehenswürdigkeiten-Sammler mit Karten-Timeline - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Besuchte-Orte-Karte mit Zeitstempel-Pins, Reise-Tagebuch-Einträge pro Ort mit Foto-Platzhalter, Zeitleisten-Ansicht chronologisch aller Reisen (D3.js), Länder-/Städte-Zähler-Statistik besucht, Fortschritts-Karte eingefärbte besuchte Länder (D3.js Choropleth), Reise-Jahresrückblick-Generator, Lieblingsorte-Ranking mit Bewertung, Teilen-Funktion-Mockup Reisebericht exportieren, Entfernungs-Gesamtstatistik zurückgelegte Kilometer, Foto-Sammlung pro Ort gruppiert, Notiz-Suchfunktion über alle Einträge, GSAP Pin-Sammlungs-Animationen - USE CASE: Vielreisende dokumentieren ihre Reisehistorie visuell ansprechend an einem Ort, Reise-Communities zeigen persönliche Entdeckungen strukturiert statt in losen Fotoalben.\n\n157. **#157** — baue einen Camping & Outdoor-Ausrüstungs-Planer mit Gewichts-Rechner - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ausrüstungs-Kategorien Zelt/Schlafsack/Kochutensilien/Kleidung, Gewichts-Rechner Gesamtgepäck mit Warnung bei Überschreitung (ApexCharts Gauge), Packliste nach Tourdauer skaliert, Wetter-abhängige Ausrüstungs-Empfehlung, Verleih-vs-Kauf-Kostenvergleich, Ausrüstungs-Inventar eigene Gegenstände mit Zustand, Trekking-Route-Schwierigkeitsgrad-Anpassung Ausrüstungsbedarf, Proviant-Kalorienrechner pro Tag und Person, Packliste-Vorlagen nach Tourtyp Solo/Gruppe/Winter, Wartungs-Erinnerung Ausrüstung überprüfen vor Tour, Export Packliste mit Gewichtsangaben, GSAP Gewichts-Balken-Animationen - USE CASE: Wanderer und Camper packen gewichtsoptimiert ohne wichtige Ausrüstung zu vergessen, Outdoor-Anbieter beraten Kunden mit nachvollziehbaren Gewichts- und Bedarfsrechnungen.\n\n158. **#158** — erstelle eine öffentliche-Verkehrsmittel-Verbindungssuche mit Offline-Cache - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verbindungssuche zwischen zwei Orten mit Umstiegen, Fahrplan-Anzeige nach Verkehrsmittel Bus/Bahn/Tram gefiltert, Offline-Cache häufig genutzter Verbindungen, Verspätungs-Statistik historisch pro Linie (ApexCharts Balken), Ticketpreis-Schätzung nach Zonen, Barrierefreiheits-Kennzeichnung pro Verbindung, Alternative-Routen-Vorschläge bei Ausfall, Lieblingsverbindungen-Speicherfunktion, Karten-Ansicht der Route (D3.js oder Leaflet), Reisezeit-Vergleich verschiedener Abfahrtszeiten, Pünktlichkeits-Ranking der Linien, GSAP Verbindungs-Such-Animationen - USE CASE: Pendler und Reisende finden verlässliche Verbindungen auch ohne Internetzugang unterwegs, Tourist:innen in fremden Städten navigieren den ÖPNV ohne lokale App-Installation.\n\n159. **#159** — entwickle einen Auswanderungs-Umzugs-Kosten-Vergleichsrechner - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Lebenshaltungskosten-Vergleich zwischen Ländern/Städten (ApexCharts Balken), Kategorien-Breakdown Miete/Lebensmittel/Gesundheit/Steuern, Kaufkraft-Index-Berechnung angepasst an Gehalt, Umzugskosten-Rechner Transport/Visa/Kaution, Steuersystem-Vergleich grobe Einschätzung, Gesundheitssystem-Kurzvergleich, Klimazonen-und-Lebensqualität-Vergleich, Sprachbarriere-Einschätzung, Zeitzonen-Unterschied-Anzeige zu Heimat, Community-Größe-Indikator Expats vor Ort Mock, Break-Even-Rechner ab wann Umzug sich lohnt, GSAP Vergleichs-Balken-Animationen - USE CASE: Auswanderungsinteressierte vergleichen potenzielle Zielländer objektiv vor der Entscheidung, Personalabteilungen kalkulieren Auslandsentsendungs-Budgets für Mitarbeiter transparent.\n\n160. **#160** — baue ein Reise-Tagebuch mit Karten-Pins & Foto-Timeline - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Tagebucheinträge mit Datum/Ort/Text/Foto-Platzhalter, Karten-Ansicht aller Einträge als verbundene Route, Stimmungs-Tracking pro Eintrag Emoji-basiert, Zeitleisten-Ansicht chronologisch mit Vorschau (D3.js), Kapitel-Gruppierung nach Reiseabschnitt, Volltextsuche über alle Einträge, Statistik-Dashboard Anzahl Einträge/Orte/Fotos, Wetter-Notiz pro Tag automatisch-manuell, Export als zusammenhängendes Reisebuch PDF, Privatsphäre-Stufen pro Eintrag privat/teilbar, Highlight-Markierung besondere Momente, GSAP Timeline-Scroll-Animationen - USE CASE: Reisende halten Erlebnisse strukturiert fest statt verstreuter Notizen-App-Einträge, Langzeitreisende erstellen am Ende ein zusammenhängendes digitales Reisebuch zum Teilen.\n\n## Kategorie 7: SPORT & SAMMLER-TOOLS\n\n161. **#161** — erstelle ein Fantasy-Liga-Manager-Dashboard mit Live-Punkten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kader-Aufstellung Drag&Drop nach Formation, Punkte-Berechnung pro Spieler nach Aktionen Tor/Assist/Karte, Liga-Tabelle mit allen Teilnehmern (ApexCharts Balken), Spieler-Formkurve letzte 5 Spiele (D3.js Sparkline), Transfer-Markt mit Budget-Verwaltung, Kapitäns-Wahl mit Punkte-Multiplikator, Spieltag-Historie eigene Punktentwicklung, Verletzungs-/Sperren-Warnung vor Kader-Sperre, Kopf-an-Kopf-Vergleich gegen Liga-Konkurrenten, Wochen-MVP-Auszeichnung automatisch, Export Saison-Zusammenfassung, GSAP Punkte-Update-Animationen - USE CASE: Fantasy-Liga-Teilnehmer verwalten ihr Team mit detaillierter Performance-Analyse, Liga-Organisatoren bieten Teilnehmern eine ansprechende zentrale Übersicht.\n\n162. **#162** — entwickle einen Sammelkarten-Portfolio-Tracker mit Wertentwicklung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sammlung-Inventar mit Zustand-Bewertung Mint/Near-Mint/Played, Wertentwicklungs-Chart pro Karte manuell gepflegt (ApexCharts Line), Portfolio-Gesamtwert-Anzeige mit Verlauf, Seltenheits-Kategorisierung Common/Rare/Legendary, Wunschlisten-Verwaltung fehlende Karten, Sammlung-Vollständigkeits-Anzeige pro Set (ApexCharts Radial), Tausch-Vorschlags-Liste eigene Dubletten, Kategorie-Verteilung nach Set/Ära (D3.js Treemap), Zustandsverschlechterungs-Notizen über Zeit, Versicherungswert-Schätzung Gesamtsammlung, Export Sammlungsliste als Inventar-PDF, GSAP Wert-Update-Animationen - USE CASE: Sammler behalten Überblick über Portfoliowert und Vollständigkeit ihrer Sammlung, Käufer/Verkäufer dokumentieren Zustand und Wert für Versicherung oder Verkauf.\n\n163. **#163** — programmiere einen Trainingsplan-Builder mit Fortschritts-Charts - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainingsplan-Editor Übungen nach Muskelgruppe/Tag, Fortschritts-Tracking Gewicht/Wiederholungen pro Übung über Zeit (ApexCharts Line), Periodisierungs-Ansicht Aufbau/Erhaltung/Deload-Phasen, Ein-Wiederholungs-Maximum-Rechner geschätzt, Körpermaße-Tracker mit Verlaufsdiagramm, Trainingsvolumen-Analyse pro Woche (D3.js Stacked Bar), Übungsbibliothek mit Ausführungshinweisen, Ruhetag-Planer automatische Balance, Trainingsstreak-Tracker Motivation, Kalorien-/Makro-Schätzung pro Trainingstag, Export Trainingsplan als PDF, GSAP Fortschritts-Balken-Animationen - USE CASE: Freizeitsportler planen und verfolgen Trainingsfortschritt strukturiert ohne teure Fitness-App-Abos, Personal Trainer erstellen individuelle Trainingspläne für Klienten mit klarer Fortschrittsdokumentation.\n\n164. **#164** — baue ein Vereins-Team-Statistik-Vergleichs-Terminal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Team-Vergleichs-Matrix Offensive/Defensive-Kennzahlen, Saisonverlauf-Chart Tabellenplatz über Spieltage (ApexCharts Line), Head-to-Head-Historie zwischen zwei Teams, Heim-vs-Auswärts-Performance-Split, Spieler-Statistik-Ranking innerhalb Team, Form-Tabelle letzte 5/10 Spiele, Torschützen-/Vorlagen-Liste mit Ranking, Radar-Chart Team-Stärken-Profil (D3.js), Verletzungs-Report-Übersicht Kader-Verfügbarkeit, Liga-weite-Vergleiche Durchschnittswerte, Export Statistik-Report, GSAP Ranking-Wechsel-Animationen - USE CASE: Fans analysieren Team-Performance tiefer als Standard-Tabellen bieten, Trainer-Teams bereiten Gegner-Analysen mit fundierten Statistiken vor.\n\n165. **#165** — erstelle einen Ticket-Event-Verfügbarkeits-Tracker - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Event-Kalender mit Verfügbarkeits-Status Ampel, Preis-Entwicklungs-Chart über Zeit bis Event (ApexCharts Line), Sitzplatz-Kategorie-Vergleich Preis-Leistung, Wunschzettel-Events mit Verfügbarkeits-Alarm, Venue-Karten-Ansicht Sitzplan-Mockup, Preisvergleich mehrerer Anbieter Mock, Event-Historie besuchte Veranstaltungen, Freunde-Gruppen-Koordination gemeinsamer Kauf-Mockup, Reise-Kombination Event plus Anreise/Unterkunft-Hinweis, Erinnerungs-Countdown bis Verkaufsstart, Export Event-Übersicht, GSAP Verfügbarkeits-Status-Animationen - USE CASE: Fans verpassen keinen Vorverkaufsstart begehrter Events durch zentrale Übersicht, Gruppen koordinieren gemeinsame Event-Besuche mit Budget- und Terminabgleich.\n\n166. **#166** — entwickle ein Wett-Quoten-Vergleichs-Dashboard edukativ - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Quoten-Vergleichstabelle mehrerer Mock-Anbieter, Implizite-Wahrscheinlichkeit-Rechner aus Quote, Value-Bet-Finder Differenz eigene Einschätzung vs Quote, Bankroll-Management-Rechner Einheiten-basiert, Wett-Historie-Tracker mit ROI-Berechnung (ApexCharts Line), Value-Score-Ranking verschiedener Wetten, Verantwortungsvolles-Spielen-Hinweise und Limits prominent, Quoten-Bewegungs-Historie vor Event, Statistik-Vergleich beider Teams als Entscheidungshilfe, Simulierte-Wett-Slip ohne echtes Geld, Export Wett-Journal für eigene Analyse, GSAP Quoten-Änderungs-Animationen - USE CASE: Nutzer lernen Quoten- und Wahrscheinlichkeitsanalyse verantwortungsbewusst mit klaren Limit-Hinweisen, Bildungsprojekte zeigen mathematische Grundlagen hinter Wettquoten anschaulich. WICHTIG: durchgängig Responsible-Gaming-Hinweise, keine echten Zahlungsfunktionen.\n\n167. **#167** — baue einen Sportartikel-Sammlung-Katalog mit Zustands-Bewertung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Katalog-Inventar Trikots/Schuhe/Memorabilia mit Foto-Platzhalter, Zustands-Bewertungs-Skala mit Beschreibung, Echtheits-Dokumentation Zertifikat-Upload-Mockup, Wertschätzungs-Historie über Zeit (ApexCharts Line), Kategorie-Filter nach Sportart/Ära/Spieler, Versicherungswert-Gesamtübersicht, Ausstellungs-Planer welche Stücke wo aufbewahrt, Tausch-/Verkaufs-Interesse-Markierung, Herkunfts-Dokumentation Provenienz-Notizen, Zustandsverschlechterung-Warnung bei Lagerungsbedingungen, Export Sammlungskatalog PDF, GSAP Katalog-Karten-Animationen - USE CASE: Memorabilia-Sammler dokumentieren Echtheit und Wert ihrer Sammlung professionell, Versicherungen erhalten strukturierte Nachweise für Wertsachen-Policen.\n\n168. **#168** — erstelle einen Turnier-Bracket-Generator interaktiv - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Automatische Bracket-Erstellung K.O.-System nach Teilnehmerzahl (D3.js Baumdiagramm), Gruppenphase-plus-K.O.-Hybrid-Modus, Ergebnis-Eintragung mit automatischem Weiterrücken, Setzlisten-Verwaltung nach Ranking, Live-Turnierbaum-Ansicht während Verlauf, Statistik-Dashboard Tore/Punkte pro Teilnehmer, Zeitplan-Generator mit Spielterminen, Freilos-Behandlung bei ungerader Teilnehmerzahl, Export Turnierbaum als Bild/PDF, Historische-Turniere-Archiv, Sieger-Ehrentafel, GSAP Bracket-Fortschritts-Animationen - USE CASE: Vereine und Hobby-Ligen organisieren Turniere ohne teure Turnier-Software, Event-Organisatoren visualisieren Turnierverlauf für Teilnehmer und Zuschauer live.\n\n169. **#169** — entwickle einen Athleten-Karriere-Verlauf-Visualizer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karriere-Zeitleiste Vereine/Transfers/Meilensteine (D3.js Timeline), Leistungsentwicklung über Karriere Kennzahl pro Saison (ApexCharts Line), Vergleich mehrerer Athleten Side-by-Side, Verletzungshistorie-Übersicht mit Ausfallzeiten, Titel-/Auszeichnungs-Sammlung als Ehrentafel, Marktwert-Entwicklung-Mockup über Karriere, Vereins-Wechsel-Karte geografisch (D3.js), Statistik-Highlights beste Saison hervorgehoben, Altersvergleich Peak-Performance-Alter, Karriere-Phasen-Kennzeichnung Aufstieg/Prime/Ausklang, Export Karriere-Profil als PDF, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Sportjournalisten recherchieren Karriereverläufe visuell aufbereitet für Artikel, Scouting-Teams vergleichen Karriereentwicklungen mehrerer Talente strukturiert.\n\n170. **#170** — baue eine Community-Sammler-Tausch-Börse Mockup - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Angebots-/Gesuchs-Liste mit Foto-Platzhalter und Zustand, Matching-Algorithmus-Mockup passende Tauschpartner vorschlagen, Community-Profil mit Sammlungsschwerpunkt, Bewertungs-System für Tauschpartner nach Transaktion, Tausch-Verlauf-Historie abgeschlossene Trades, Kategorie-Browser nach Sammelgebiet, Wunschlisten-Abgleich automatische Benachrichtigung bei Treffer, Fairness-Rechner geschätzter Wertevergleich beider Seiten, Community-Statistik aktive Nutzer/Trades gesamt (ApexCharts), Nachrichtenfunktion-Mockup zwischen Tauschpartnern, Melde-Funktion bei Problemen, GSAP Match-Gefunden-Animationen - USE CASE: Sammler-Communities finden passende Tauschpartner für ihre Sammlung strukturiert, Vereine bieten Mitgliedern eine faire Plattform für Sammelobjekt-Tausch ohne Geldfluss.\n\n## Kategorie 8: MEDIA, GAMES & ENTERTAINMENT\n\n171. **#171** — erstelle einen interaktiven Roman-E-Book-Reader mit Kapitel-Navigation - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kapitel-Sidebar mit Lesefortschritt pro Kapitel, Schriftgröße-/Zeilenabstand-Regler live, Lesemodus Hell/Dunkel/Sepia, Lesezeichen-Funktion mit Notizen, Lesefortschritt-Gesamtanzeige Prozent und geschätzte Restzeit (ApexCharts Radial), Kapitel-Zusammenfassungen einklappbar, Text-Suche mit Ergebnis-Sprung, Zitat-Sammlung markierte Textstellen, Statistik-Dashboard Lesegeschwindigkeit/Sessions, Automatisches-Scroll-Modus einstellbare Geschwindigkeit, Export Notizen und Zitate, GSAP Seitenübergangs-Animationen - USE CASE: Autoren präsentieren ihre Werke in einem ansprechenden Eigen-Reader ohne Plattform-Abhängigkeit, Leser verfolgen Fortschritt und sammeln Lieblingszitate strukturiert.\n\n172. **#172** — entwickle einen Browser-Game-Arcade-Hub mit Highscore-System - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Spiele-Galerie-Grid mit Vorschaubildern und Kategorien, Highscore-Tabelle pro Spiel lokal gespeichert, Spieler-Profil mit Gesamt-Statistik über alle Spiele, Erfolge-/Achievement-System mit Freischalt-Bedingungen, Tages-Herausforderung ein Spiel mit Sonderregeln, Spielzeit-Tracker pro Spiel, Favoriten-Sammlung meistgespielte Spiele, Schwierigkeitsgrad-Auswahl pro Spiel, Tutorial-Overlay für Neueinsteiger pro Spiel, Sound-An-Aus-Umschalter global, Fortschritts-Dashboard Achievements gesamt (ApexCharts Radial), GSAP Spiel-Start-Übergangs-Animationen - USE CASE: Portale bündeln mehrere kleine Browser-Spiele mit einheitlichem Fortschritts-Tracking, Nutzer verfolgen persönliche Bestleistungen über eine wachsende Spielesammlung hinweg.\n\n173. **#173** — programmiere einen Schach-Trainer mit mehreren Engine-Stärken - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schachbrett interaktiv mit Zug-Validierung, Engine-Stärke-Auswahl Anfänger bis Fortgeschritten, Eröffnungs-Datenbank mit Namen und Zugfolgen, Taktik-Trainer tägliche Rätsel mit Bewertungssystem (ApexCharts Elo-Verlauf), Partie-Analyse nach Spielende Fehler markiert, Zug-Historie mit Notation und Rücknahme-Funktion, Eröffnungs-Repertoire-Builder eigene Linien speichern, Endspiel-Übungs-Modus typische Stellungen, Zeitkontrolle-Optionen Blitz/Rapid/Klassisch, Spielstärke-Schätzung basierend auf Partien, Export Partie als PGN, GSAP Zug-Animationen auf dem Brett - USE CASE: Schachspieler trainieren gegen verschieden starke Gegner passend zum eigenen Niveau, Vereine bieten Mitgliedern taktisches Training mit nachvollziehbarem Fortschritt.\n\n174. **#174** — baue einen Comic-Webtoon-Reader mit Panel-Zoom - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertikaler-Scroll-Lesemodus für Webtoons, Panel-für-Panel-Modus mit Zoom bei Tap, Kapitel-Übersicht mit Cover-Vorschau, Lesezeichen pro Kapitel und Panel-Position, Helligkeits-/Kontrast-Regler für Leseumgebung, Kommentar-Bereich-Mockup pro Kapitel, Serien-Bibliothek mit Fortsetzungs-Status abgeschlossen/laufend, Lese-Historie zuletzt gelesene Serien, Offline-Download-Kennzeichnung pro Kapitel, Vollbild-Lesemodus ohne Ablenkung, Auto-Scroll-Geschwindigkeitsregler, GSAP Panel-Übergangs-Animationen - USE CASE: Unabhängige Comic-Autoren veröffentlichen eigene Werke ohne Plattform-Provisionen, Leser genießen ein natives Lese-Erlebnis speziell für vertikale Comic-Formate.\n\n175. **#175** — erstelle einen Musik-Playlist & Stimmungs-Visualizer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Playlist-Verwaltung mit Drag&Drop-Sortierung, Waveform-Visualisierung während Wiedergabe (D3.js Canvas), Stimmungs-Tagging pro Song energetisch/ruhig/melancholisch, Stimmungs-basierte-Playlist-Generierung automatisch, Hörhistorie-Statistik meistgehörte Songs/Genres (ApexCharts Balken), Beat-synchronisierte-Animationen GSAP zum Takt, Lyrics-Anzeige-Platzhalter synchronisiert, Genre-Verteilungs-Donut eigene Bibliothek, Höralbum-Fortschritt bei vollständigem Album, Cross-Fade-Einstellung zwischen Songs, Export Playlist als M3U, GSAP Album-Cover-Rotations-Animationen - USE CASE: Musikliebhaber organisieren ihre Sammlung nach Stimmung statt nur nach Genre, Content-Ersteller visualisieren Audio ansprechend für Präsentationen oder Streams.\n\n176. **#176** — entwickle einen Quiz-Show-Baukasten mit Buzzer-Simulation - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fragen-Editor mit Kategorien und Punktwerten Jeopardy-Style, Buzzer-Simulation-Mockup wer zuerst klickt bekommt Zug, Punktestand-Anzeige Live pro Team/Spieler, Zeitlimit-Timer pro Frage mit visuellem Countdown, Fragenkatalog-Import/Export als JSON, Moderatoren-Ansicht separat von Spieler-Ansicht, Soundeffekte-Mockup richtig/falsch, Runden-Struktur Vorrunde/Finale konfigurierbar, Joker-System 50/50 oder Publikumsjoker-Mockup, Highscore-Liste vergangener Runden, Vollbild-Präsentations-Modus für Beamer, GSAP Punktestand-Update-Animationen - USE CASE: Lehrkräfte und Trainer gestalten interaktive Wissensabfragen für Gruppen unterhaltsam, Event-Organisatoren nutzen die App als Grundlage für Quiz-Abende ohne Zusatz-Hardware.\n\n177. **#177** — programmiere eine Kurzgeschichten-Gedicht-Sammlung mit Stimmungs-Tagging - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Text-Bibliothek kategorisiert nach Genre und Stimmung, Lese-Ansicht mit typografisch hochwertiger Darstellung, Stimmungs-Filter melancholisch/hoffnungsvoll/humorvoll, Autoren-Profile bei Sammel-Anthologien, Lieblings-Sammlung persönliche Favoriten, Zufalls-Text-Funktion Überraschung des Tages, Lesezeit-Anzeige pro Text, Text-Statistik Wortanzahl/Lesezeit-Verteilung (ApexCharts), Themen-Wolke häufige Motive (D3.js Word Cloud), Kommentar-/Reflexions-Notizfeld pro Text privat, Export einzelner Texte als PDF, GSAP Text-Einblend-Animationen - USE CASE: Autoren präsentieren eine kuratierte Sammlung ihrer Kurztexte ansprechend, Leser entdecken Texte passend zu ihrer aktuellen Stimmung gezielt.\n\n178. **#178** — baue eine Retro-Arcade-Casino-Demo Play-Money - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Blackjack- und Roulette-Simulation mit virtueller Spielwährung, Deutliche Play-Money-Kennzeichnung durchgängig sichtbar, Responsible-Gaming-Hinweise und Selbsttest prominent verlinkt, Spielverlauf-Statistik Gewinn/Verlust-Kurve (ApexCharts Line) nur zu Demonstrationszwecken, Retro-Pixel-Art-Design-Ästhetik, Regel-Erklärungen für Einsteiger pro Spiel, Einsatzlimit-Simulator zeigt Wirkung von Limits, Wahrscheinlichkeits-Erklär-Panel Hausvorteil transparent dargestellt, Sound-Effekte-Mockup, Sitzungs-Zeit-Tracker mit Erinnerung Pause einzulegen, Kein-Echtgeld-Hinweis in jedem Screen, GSAP Karten-/Rad-Animationen - USE CASE: Bildungsprojekte erklären Casino-Spielmechaniken und Hausvorteil transparent ohne echtes Geld, Entwickler demonstrieren Spiel-UI-Konzepte in Portfolios verantwortungsbewusst gekennzeichnet.\n\n179. **#179** — erstelle einen Podcast-Hörbuch-Player mit Kapitel-Marken - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wiedergabe-Steuerung mit Kapitel-Sprungmarken, Geschwindigkeitsregler 0.5x bis 3x, Schlaf-Timer automatisches Stoppen, Wiedergabe-Historie mit Fortschritt pro Episode, Episoden-Bibliothek mit Cover und Beschreibung, Warteschlange-Verwaltung nächste Episoden, Transkript-Anzeige-Platzhalter synchron scrollend, Lesezeichen innerhalb einer Episode setzen, Hörstatistik Gesamtzeit/Episoden-Anzahl (ApexCharts), Offline-Download-Kennzeichnung, Cross-Device-Fortschritt-Sync-Mockup, GSAP Wiedergabe-Steuerungs-Animationen - USE CASE: Podcast-Produzenten bieten Hörern eine eigene Player-Erfahrung ohne Plattform-Abhängigkeit, Hörbuch-Verlage integrieren Kapitel-Navigation für lange Werke nutzerfreundlich.\n\n180. **#180** — entwickle eine Fan-Community-Sammlung-Showcase digitales Sammelalbum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitales Sammelalbum mit Slot-Raster für Sticker/Karten, Fortschritts-Anzeige pro Kategorie und Gesamt (ApexCharts Radial), Sammel-Historie wann welches Item hinzugefügt, Doppelten-Marker für Tauschbörse, Community-Ranking vollständigste Sammlungen Mock, Themen-Alben mehrere parallele Sammlungen, Freischalt-Animationen bei neuem Item, Statistik-Dashboard Sammelrate über Zeit, Wunschliste fehlende Items hervorgehoben, Export Sammelstatus als Bild zum Teilen, Jubiläums-Sonderseiten für Meilensteine, GSAP Sticker-Enthüllungs-Animationen - USE CASE: Fan-Communities digitalisieren klassische Sammelalben-Erfahrung für Vereine oder Serien, Marken binden Fans durch spielerische Sammel-Mechaniken ohne Papier-Alben.\n\n## Kategorie 9: BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS\n\n181. **#181** — erstelle einen interaktiven Lebenslauf-Portfolio-Builder mit Export - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sektions-Editor Werdegang/Ausbildung/Skills per Drag&Drop sortierbar, Mehrere-Vorlagen-Design-Auswahl klassisch/modern/kreativ, Skill-Level-Visualisierung Balken oder Sterne (ApexCharts), Live-Vorschau während Bearbeitung Split-Screen, Zeitleisten-Ansicht Karriereverlauf (D3.js), Mehrsprachigkeits-Umschalter DE/EN Lebenslauf, ATS-Freundlichkeits-Check einfache Struktur-Warnung, PDF-Export druckfertig, Foto-Upload-Platzhalter mit Zuschnitt, Referenzen-Sektion optional ein-/ausblendbar, Versionsverwaltung mehrere Lebenslauf-Varianten je Bewerbung, GSAP Sektions-Einblend-Animationen - USE CASE: Bewerber erstellen professionelle Lebensläufe ohne Word-Formatierungs-Frust, Karriereberater unterstützen Klienten mit einem wiederverwendbaren Tool für mehrere Bewerbungsvarianten.\n\n182. **#182** — entwickle einen Bewerbungs-Tracker mit Status-Pipeline Kanban - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kanban-Board Beworben/Interview/Angebot/Abgelehnt Drag&Drop, Bewerbungs-Karten mit Firma/Position/Datum/Notizen, Erinnerungs-Funktion Follow-Up-Termine, Erfolgsquote-Dashboard Conversion pro Stage (ApexCharts Funnel), Gehaltsverhandlungs-Notizen pro Bewerbung, Kontaktperson-Verwaltung pro Firma, Dokumenten-Anhang Anschreiben/Lebenslauf-Version pro Bewerbung, Zeitstrahl-Ansicht aller Bewerbungsaktivitäten, Statistik nach Branche/Quelle woher Bewerbung kam, Interview-Vorbereitungs-Checkliste pro Termin, Export Bewerbungsübersicht als Report, GSAP Karten-Drag-Animationen - USE CASE: Jobsuchende behalten bei parallelen Bewerbungen den Überblick statt Excel-Chaos, Karriereberatungen zeigen Klienten transparent ihre Bewerbungs-Erfolgsquote nach Phase.\n\n183. **#183** — programmiere einen persönlichen Haushaltsbuch-Planer mit Kategorien-Analyse - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Einnahmen-/Ausgaben-Erfassung mit Kategorien, Monatsvergleich-Chart über 12 Monate (ApexCharts Line), 50/30/20-Regel-Visualisierung, Wiederkehrende-Ausgaben-Verwaltung Abos/Miete automatisch, Sparquote-Tracker mit Zielvorgabe, Kategorien-Donut Ausgabenverteilung, Jahresrückblick-Generator automatisch, Budget-Warnung bei Kategorie-Überschreitung, CSV-Import von Kontoauszügen Mock-Format, Haushaltsbuch-Vergleich mehrere Jahre nebeneinander, Export Steuerrelevante-Ausgaben-Liste, GSAP Kategorien-Balken-Animationen - USE CASE: Privathaushalte gewinnen Kontrolle über Ausgaben ohne Banking-App-Abo, Paare führen ein gemeinsames transparentes Haushaltsbuch mit klarer Kategorienübersicht.\n\n184. **#184** — baue eine Zeugnis-Zertifikats-Sammlung digitaler Ordner mit Ablauf-Erinnerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokumenten-Kategorien Zeugnisse/Zertifikate/Lizenzen mit Upload-Platzhalter, Ablaufdatum-Tracking mit Warnfarbe bei Nähe zum Verfall, Erinnerungs-Kalender Weiterbildungspflichten, Kategorisierung nach Gültigkeitsbereich Fachbereich, Verlaufs-Historie erneuerte Zertifikate chronologisch, Volltextsuche über Dokumenttitel und Tags, Statistik-Dashboard gültig/bald-ablaufend/abgelaufen (ApexCharts Donut), Verknüpfung zu Anbieter für Erneuerung, Export Zertifikats-Übersicht für Bewerbungen, Sicherheits-Hinweis zur Verschlüsselung sensibler Dokumente, Mehrere-Personen-Verwaltung Familie, GSAP Ablauf-Warn-Animationen - USE CASE: Berufstätige mit Pflichtfortbildungen behalten Ablauffristen im Blick ohne Excel-Liste, Personalabteilungen dokumentieren Mitarbeiter-Qualifikationen strukturiert und fristgerecht.\n\n185. **#185** — erstelle einen Karriereweg-Planer mit Gehalts-Benchmark - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karrierepfad-Visualisierung mögliche nächste Positionen (D3.js Baumdiagramm), Gehalts-Benchmark-Vergleich nach Position/Branche/Region (ApexCharts Balken), Skill-Gap-Analyse aktuelle vs Zielposition-Anforderungen, Weiterbildungs-Empfehlungen zur Erreichung des Ziels, Zeithorizont-Rechner geschätzte Jahre bis Zielposition, Netzwerk-Kontakte-Tracker relevante Personen pro Zielposition, Branchenwechsel-Impact-Simulator, Verhandlungs-Vorbereitung Gehaltsforderung-Rechner, Karriere-Meilenstein-Tracker erreichte Etappen, Vergleich mehrerer Karrierepfade Side-by-Side, Export Karriereplan als PDF, GSAP Pfad-Fortschritts-Animationen - USE CASE: Berufstätige planen langfristige Karriereschritte mit realistischen Gehaltserwartungen, Personalentwicklungs-Teams unterstützen Mitarbeiter mit strukturierten Entwicklungspfaden.\n\n186. **#186** — entwickle einen Vertrags-Dokumenten-Vault mit Ablauf-Kalender - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertrags-Kategorien Miete/Versicherung/Abo/Arbeitsvertrag mit Upload-Platzhalter, Kündigungsfristen-Kalender mit automatischer Erinnerung, Vertragswert-Übersicht monatliche Gesamtbelastung (ApexCharts Donut), Verlängerungs-Status automatisch/manuell gekennzeichnet, Kündigungsfristen-Rechner rückwärts vom Ablaufdatum, Dokumenten-Volltextsuche über Vertragsnamen, Vertragspartner-Verwaltung mit Kontaktdaten, Preishistorie bei Vertragsänderungen, Sicherheits-Hinweis Verschlüsselung sensibler Dokumente, Export Vertragsübersicht als Excel-kompatibles CSV, Erinnerungs-Vorlaufzeit individuell einstellbar, GSAP Ablauf-Countdown-Animationen - USE CASE: Privatpersonen verpassen keine Kündigungsfristen mehr für Abos und Verträge, Kleinunternehmer behalten alle Geschäftsverträge mit Fristen zentral im Blick.\n\n187. **#187** — baue einen Meeting-Notizen & Aufgaben-Tracker mit Team-Zuweisung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Meeting-Vorlagen mit Agenda-Struktur, Live-Notizen-Editor während Meeting, Automatische-Aufgaben-Extraktion aus Notizen zu Todo-Liste, Verantwortlichkeits-Zuweisung pro Aufgabe mit Fälligkeitsdatum, Meeting-Historie durchsuchbar nach Thema, Follow-Up-Status-Tracking offene Punkte aus letztem Meeting, Anwesenheits-Liste pro Meeting, Entscheidungs-Log wichtige Beschlüsse hervorgehoben, Aufgaben-Fortschritts-Dashboard Team-weit (ApexCharts Kanban-Style), Wiederkehrende-Meeting-Vorlagen, Export Meeting-Protokoll als PDF, GSAP Aufgaben-Erstellungs-Animationen - USE CASE: Teams dokumentieren Meetings strukturiert statt in verstreuten Notiz-Apps, Projektleiter verfolgen aus Meetings entstandene Aufgaben lückenlos bis zur Erledigung.\n\n188. **#188** — erstelle einen Freelancer-Rechnungs & Angebots-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rechnungs-Editor mit Positionen/Mengen/Preisen automatischer Summenberechnung, Angebots-zu-Rechnung-Konvertierung, Kunden-Datenbank mit Kontaktdaten, Umsatzsteuer-Berechnung Kleinunternehmerregelung-Option, Zahlungsstatus-Tracking offen/bezahlt/überfällig, Umsatz-Dashboard nach Monat/Kunde (ApexCharts Balken), Mahnwesen-Vorlagen bei Zahlungsverzug, Wiederkehrende-Rechnungen für Abo-Kunden, Ausgaben-Erfassung für Gewinnermittlung, Steuervorauszahlungs-Schätzer, Export Rechnungen als PDF mit eigenem Branding, GSAP Rechnungs-Erstellungs-Animationen - USE CASE: Freiberufler erstellen professionelle Rechnungen ohne teure Buchhaltungssoftware, Kleinunternehmer behalten Umsatz und offene Forderungen übersichtlich im Blick.\n\n189. **#189** — entwickle einen persönlichen OKR-Ziel-Tracker mit Reflexions-Journal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ziel-Hierarchie Jahres-/Quartals-/Wochenziele verknüpft (D3.js), Fortschritts-Tracking pro Key Result mit Prozentanzeige, Wöchentliches-Reflexions-Journal was lief gut/schlecht, Gewohnheits-Tracker tägliche Habits mit Streak-Anzeige (ApexCharts Kalender-Heatmap), Zielkategorien Beruf/Gesundheit/Beziehungen/Finanzen, Motivations-Zitate-Rotation, Rückblick-Generator Monats-/Jahresrückblick automatisch, Zielkonflikt-Erkennung wenn Ziele sich zeitlich überschneiden, Erinnerungs-System Check-in-Rhythmus wöchentlich, Fortschritts-Visualisierung Gesamtübersicht aller Ziele, Export Journal als PDF, GSAP Fortschritts-Ring-Animationen - USE CASE: Menschen mit Selbstoptimierungs-Anspruch verfolgen persönliche Ziele strukturiert wie in Unternehmen, Coaches nutzen das Tool als Vorlage für Klienten-Zielvereinbarungen.\n\n190. **#190** — baue ein Networking-Kontakt-CRM für Privatpersonen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kontakt-Datenbank mit Kategorien beruflich/privat/mentoren, Letzter-Kontakt-Tracker mit Erinnerung bei zu langer Funkstille, Beziehungs-Stärke-Score manuell oder aus Interaktionshäufigkeit, Notizen pro Kontakt Gesprächsthemen/Interessen, Netzwerk-Graph-Visualisierung Verbindungen zwischen Kontakten (D3.js), Ereignis-Log Treffen/Anrufe/Nachrichten chronologisch, Geburtstags-/Jubiläums-Erinnerungen, Gegenseitige-Gefallen-Tracker wer schuldet wem was, Tag-System für Interessen/Skills der Kontakte, Kontakt-Empfehlungs-Score wen sollte ich als nächstes kontaktieren, Export Kontaktliste als vCard-kompatibles CSV, GSAP Netzwerk-Graph-Animationen - USE CASE: Networking-affine Menschen pflegen Beziehungen bewusst statt sie einschlafen zu lassen, Selbständige verwalten ihr berufliches Netzwerk ohne teures CRM-Tool.\n\n## Kategorie 10: MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS\n\n191. **#191** — erstelle ein Personalisierbares Dashboard-Baukasten Drag&Drop-Widgets - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Widget-Bibliothek Chart/Liste/Kalender/Notiz frei platzierbar, Drag&Drop-Grid-Layout mit Größenänderung, Widget-Konfiguration pro Instanz eigene Datenquelle-Mock, Mehrere-Dashboard-Profile für unterschiedliche Zwecke, Theme-Editor Farben/Schriftart anpassbar, Layout-Vorlagen vordefiniert für Schnellstart, Widget-Verbindungs-Logik ein Widget filtert ein anderes, Export/Import Dashboard-Konfiguration als JSON, Vollbild-Präsentations-Modus pro Dashboard, Auto-Refresh-Intervall pro Widget einstellbar, Responsive-Verhalten-Vorschau Mobile/Tablet/Desktop, GSAP Widget-Platzierungs-Animationen - USE CASE: Teams bauen sich individuelle Übersichts-Dashboards ohne Entwickler-Ressourcen, Power-User konsolidieren verschiedene Datenquellen in einer persönlichen Ansicht.\n\n192. **#192** — entwickle einen Windows-Desktop-Style-App-Launcher mit Fenster-Management - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Desktop-Icon-Grid mit Kategorien-Ordnern, Taskleiste mit offenen Fenstern und Vorschau, Draggable-und-Resizable-Fenster mehrere gleichzeitig offen, Startmenü mit Suchfunktion über alle Apps, Fenster-Snap-Funktion an Bildschirmränder, Minimieren/Maximieren/Schließen pro Fenster, Desktop-Widgets Uhr/Wetter-Mockup, Rechtsklick-Kontextmenü auf Icons, Mehrere-virtuelle-Desktops-Umschalter, Fenster-Stapel-Verwaltung Z-Index korrekt, Anpassbares-Hintergrundbild, GSAP Fenster-Öffnen-Schließen-Animationen - USE CASE: Portale präsentieren viele Einzel-Apps in einer vertrauten Desktop-Metapher statt einer langen Linkliste, Interne Tool-Sammlungen wirken wie eine zusammenhängende Softwaresuite statt loser HTML-Dateien.\n\n193. **#193** — programmiere ein paywall-geschütztes Multi-App-Portal-Cockpit - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Login-Screen mit Zugangscode-Eingabe UND deutlichem Hinweis dass echte Validierung serverseitig erfolgen muss, Gastmodus mit eingeschränktem Funktionsumfang, App-Sidebar mit Icon-Liste mehrerer eingebundener Tools, Iframe-Hauptbereich mit Lade-Status-Anzeige, Verbindungsstatus-Indikator pro eingebettete App, Nutzungsstatistik welche Apps wie oft geöffnet (ApexCharts Balken), Zugriffsstufen-Konzept Basic/Premium als UI-Mockup, Onboarding-Tour für Erstnutzer, Feedback-Formular pro App, Favoriten-Sortierung häufig genutzter Apps nach oben, Abmelde-Funktion mit Sitzungs-Timeout-Hinweis, GSAP Sidebar-Wechsel-Animationen - USE CASE: Anbieter bündeln mehrere kostenpflichtige Tools hinter einem gemeinsamen Zugang. WICHTIG: dieser Prompt ist ausdrücklich nur für die UI gedacht — echte Zahlungs-/Zugangsvalidierung gehört serverseitig, niemals als reiner Client-Check umgesetzt (siehe SECURITY-FINDINGS.md für ein Negativbeispiel aus dem eigenen Stack).\n\n194. **#194** — baue eine zentrale Such & Quick-Link-Übersicht für Tool-Sammlungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Live-Suchfeld filtert Kategorien und Einzeltools sofort, Kategorie-Kacheln mit Farbcodierung und Statistik-Badges, Kürzlich-genutzt-Verlauf, Meistgenutzt-Ranking basierend auf Klicks (ApexCharts Balken), Tag-basierte-Filterung zusätzlich zu Kategorien, Neu-hinzugefügt-Kennzeichnung für frische Einträge, Kaputte-Links-Warnindikator falls Ziel nicht erreichbar Mock, Vorschau-Tooltip bei Hover über Eintrag, Eigene-Sammlungen anlegen kuratierte Unterlisten, Keyboard-Navigation Pfeiltasten und Enter, Statistik-Dashboard Gesamtanzahl Tools pro Kategorie, GSAP Kachel-Such-Filter-Animationen - USE CASE: Große Archiv-Sammlungen mit hunderten Einzel-Apps werden durch Live-Suche statt endlosem Scrollen erschlossen, Teams finden intern gebaute Tools schnell wieder statt sie zu vergessen.\n\n195. **#195** — erstelle ein rollenbasiertes Team-Portal mit Berechtigungs-Stufen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rollen-Auswahl-Mockup Guest/Member/Admin mit unterschiedlicher Sidebar, Berechtigungs-Matrix-Ansicht wer darf was (D3.js Tabelle), Admin-Bereich Nutzerverwaltung-Mockup, Aktivitäts-Log wer hat wann was geöffnet, Rollenwechsel-Simulator zum Testen verschiedener Ansichten, Zugriffs-angefragt-Workflow Mock Freigabe-Prozess, Team-Verzeichnis mit Rollen-Kennzeichnung, Benachrichtigungs-Center rollenspezifische Hinweise, Onboarding-Checkliste je nach Rolle unterschiedlich, Sicherheits-Hinweis-Panel Berechtigungskonzept erklärt, Export Berechtigungs-Übersicht für Dokumentation, GSAP Rollenwechsel-Übergangs-Animationen - USE CASE: Interne Tool-Portale demonstrieren ein rollenbasiertes Zugriffskonzept vor echter Backend-Implementierung, Teams dokumentieren Berechtigungsstrukturen visuell nachvollziehbar für Audits.\n\n196. **#196** — entwickle ein Iframe-Aggregator-Cockpit für externe Web-Apps - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Tab-Iframe-Ansicht mehrere externe Tools gleichzeitig eingebettet, Tab-Leiste mit Favicon und Titel pro eingebetteter App, Split-Screen-Modus zwei Apps nebeneinander, Lade-Fehler-Erkennung mit Fallback-Hinweis bei blockiertem Embedding, Quick-Switch-Tastenkombination zwischen Tabs, Verlaufs-Liste zuletzt geöffneter externer Apps, Notiz-Overlay um Beobachtungen während Nutzung festzuhalten, Vollbild-Fokus-Modus einzelne App, Bookmark-Leiste favorisierte externe Tools, Verbindungsqualitäts-Indikator pro eingebetteter App Mock, Export Sitzungs-Notizen, GSAP Tab-Wechsel-Animationen - USE CASE: Nutzer bündeln verstreute externe Web-Tools in einer gemeinsamen Arbeitsoberfläche, Analysten vergleichen mehrere Datenquellen nebeneinander ohne Tab-Chaos im Browser.\n\n197. **#197** — baue eine Bookmark & Tool-Bibliothek mit Tag-basierter Suche - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bookmark-Erfassung mit Titel/URL/Beschreibung/Tags, Tag-Cloud-Ansicht Größe nach Häufigkeit (D3.js), Multi-Tag-Filter kombinierbar UND/ODER-Logik, Ordner-Struktur zusätzlich zu Tags, Duplikat-Erkennung ähnliche URLs, Tote-Links-Checker-Mockup periodische Prüfung, Import aus Browser-Bookmark-Export-Datei, Nutzungsstatistik meistgeklickte Bookmarks (ApexCharts Balken), Team-Sharing-Mockup gemeinsame Bibliothek, Schnellzugriffs-Leiste Top-10-Favoriten, Suchverlauf für wiederkehrende Suchen, Export Bibliothek als HTML-Bookmark-Datei, GSAP Tag-Cloud-Animationen - USE CASE: Menschen mit hunderten Lesezeichen organisieren diese endlich durchsuchbar statt in unübersichtlichen Browser-Ordnern, Teams teilen eine kuratierte Tool- und Ressourcen-Bibliothek zentral.\n\n198. **#198** — erstelle ein Status & Health-Monitor-Dashboard für mehrere Sub-Apps - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: App-Liste mit Status-Ampel online/langsam/offline Mock-Simulation, Uptime-Historie-Chart pro App letzte 30 Tage (ApexCharts Balken), Antwortzeit-Trend pro App (D3.js Sparkline), Incident-Log vergangene Ausfälle mit Dauer, Abhängigkeits-Graph welche App braucht welche andere (D3.js), Alert-Konfiguration-Mockup bei Statusänderung, Wartungsfenster-Ankündigungs-Banner, Gesamt-Gesundheits-Score aller Apps kombiniert (ApexCharts Gauge), Verantwortlichkeits-Zuweisung pro App wer ist zuständig, Statusseite-Ansicht öffentlich vs intern, Export Incident-Report, GSAP Status-Wechsel-Puls-Animationen - USE CASE: Betreiber großer HTML-App-Sammlungen behalten Überblick welche Tools funktionieren, Teams kommunizieren Ausfälle transparent an Nutzer über eine zentrale Statusseite.\n\n199. **#199** — entwickle eine White-Label-Portal-Vorlage mit Theme-Switcher - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Theme-Editor Primärfarbe/Logo/Schriftart live anpassbar, Vorschau-Modus Änderungen sofort sichtbar, Mehrere-Marken-Profile speichern und wechseln, Vordefinierte-Theme-Vorlagen als Startpunkt, Komponenten-Bibliothek Buttons/Karten/Formulare im gewählten Theme, Export Theme als CSS-Variablen-Datei, Kontrast-Check-Warnung bei schlechter Lesbarkeit automatisch, Dark-Mode-Variante pro Theme automatisch generiert, Responsive-Vorschau verschiedene Bildschirmgrößen, Versionshistorie Theme-Änderungen mit Rollback, Screenshot-Export für Freigabe-Prozesse, GSAP Theme-Wechsel-Übergangs-Animationen - USE CASE: Agenturen liefern White-Label-Portale für mehrere Kunden aus einer gemeinsamen Codebasis, Marken passen ein bestehendes Portal-Grundgerüst schnell an eigenes Corporate Design an.\n\n200. **#200** — programmiere ein Onboarding-Tour-Guide-Overlay-System für Multi-App-Portale - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schritt-für-Schritt-Tour-Overlay mit Spotlight-Effekt auf UI-Elemente, Tour-Editor um eigene Touren für verschiedene Nutzergruppen zu erstellen, Fortschritts-Anzeige Schritt X von Y, Überspringen-und-Später-Fortsetzen-Option, Kontextsensitive-Tooltips bei Erstbesuch einzelner Bereiche, Tour-Abschluss-Statistik wie viele Nutzer komplett durchlaufen (ApexCharts Funnel), Mehrere-Touren-Bibliothek je nach Feature-Bereich, Wiederholung-Anfordern-Button falls Nutzer Tour nochmal sehen will, Video-Platzhalter-Einbindung pro Schritt optional, Feedback-Frage am Tour-Ende war das hilfreich, Mehrsprachigkeit der Tour-Texte, GSAP Spotlight-Übergangs-Animationen - USE CASE: Neue Nutzer komplexer Multi-App-Portale finden sich durch geführte Touren schneller zurecht, Produktteams reduzieren Support-Anfragen durch proaktive In-App-Erklärungen.\n\n## Hinweis\nBewusst nicht abgedeckt: 11-data-exports-assets und 99-uncategorized aus dem HTML-MD-EXPORT-Katalog (zu klein/uneinheitlich für eine eigene 10er-Sektion). `batches.zip` (BIZ/CREA/CYBER/EDU/...-CSVs) ist ein separates KI-Bild-Generierungs-Batch, kein HTML-App-Batch — anderes Format, eigene Pipeline, hier nicht mitkonvertiert.\n",
            "source": "stack-100-prompts.md",
            "source_path": "stack-100-prompts.md",
            "tags": [
              "root-file",
              "md"
            ],
            "tech_stack": [],
            "is_root_file": true,
            "is_local_project": false,
            "is_prompt": false,
            "is_prompt_source": true,
            "is_stack_candidate": false
          }
        ]
      }
    ],
    "records": [
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0001",
        "title": "0-VOLUMEN — Quant Trading Suite",
        "project": "0-VOLUMEN",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "Tailwind CSS",
          "Canvas/Chart-JS"
        ],
        "tags": [
          "quant",
          "trading",
          "indikatoren",
          "ml",
          "optionen",
          "portfolio",
          "static",
          "lernwerkzeug"
        ],
        "status": "production-ready",
        "overview": "Eine kuratierte Sammlung von 29 eigenstaendigen, statischen HTML-Prototypen zu Volumen-Indikatoren, Regime-/ML-Erkennung, Optionspreismodellen und einem mehrstufigen Portfolio/Index-Engine-Workflow. Ein zentrales `index.html`-Portal verlinkt alle Module; ein Flagship `MEGA-VOLUME.html` konsolidiert die 19 Volumen-/Regime-/Options-Module in einer gemeinsamen Sidebar-App. Rein clientseitige Lern-/Demo-Tools ohne echte Marktdaten-API.",
        "elevator_pitch": "29 geprüfte Quant-Trading-Tools — von Volumenindikatoren über ML-Regime-Erkennung bis Optionsmodelle — in einem Portal, komplett clientseitig, keine Serverkosten.",
        "target_audience": "Quant-/Trading-Lernende, Finance-Bootcamps, Trading-Bildungsanbieter als White-Label-Kursmaterial.",
        "replit_md_path": "0-VOLUMEN\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0002",
        "title": "1agames — NEURAL Games Collection",
        "project": "1agames",
        "category": "Games",
        "cluster": "Games",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "Vanilla HTML",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "games",
          "arcade",
          "boardgames",
          "html5",
          "static",
          "neural-branding",
          "fintech-crossover",
          "cyberpunk"
        ],
        "status": "production-ready",
        "overview": "Eine Sammlung von 49 eigenstaendigen HTML-Spielen/-Demos unter durchgaengigem \"NEURAL\"-Branding (cyberpunk/terminal-artig). Jede Datei ist ein komplett unabhaengiges Spiel ohne gemeinsames Framework; verbunden nur ueber `NEURAL-GAMES.html` als Hub. Enthaelt neben klassischen Brett-/Arcade-Spielen auch zwei Fintech-Crossover-Titel, die die Naehe zum Genitus/DOMVS-AVREA-Oekosystem des Autors zeigen.",
        "elevator_pitch": "49 spielbare Browser-Spiele im einheitlichen Neon-Cyberpunk-Look — von Tic-Tac-Toe bis Boersen-Ticker — jedes Spiel eine einzelne HTML-Datei, sofort spielbar ohne Installation.",
        "target_audience": "Portfolio-/Demo-Zwecke, Arcade-Fans, potenzielle Lizenznehmer fuer White-Label-Mini-Games, Fintech-Marketing (Gamification).",
        "replit_md_path": "1agames\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0003",
        "title": "Genitus Inc. - AI Agency Website (agency)",
        "project": "agency",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "Tailwind CDN",
          "Vanilla JS"
        ],
        "tags": [
          "landing-page",
          "ai-agency",
          "lead-generation",
          "bilingual",
          "calendly",
          "genitus"
        ],
        "status": "production-ready",
        "overview": "Bilinguale statische AI-Agentur-Website fuer Genitus Inc. mit zwei Vollversionen: deutsche `index.html` (Navy-Blue & Gold, Inter-Font) und englische `english.html` (Dark Mode, Orbitron-Font, Gold & Cyan). Optimiert fuer High-Ticket-Conversion mit klaren CTAs und KI-generierten Bildern von Menschen, die von KI profitieren.",
        "elevator_pitch": "Eine zweisprachige, conversion-optimierte Landingpage, die Strategiegespraeche fuer KI-Beratung verkauft — mit 15 kontextspezifischen CTA-Varianten statt einer generischen.",
        "target_audience": "Unternehmen/Entscheider, die KI-Beratung/-Strategiesessions kaufen wollen; Vorlage fuer weitere Genitus-B2B-Angebote.",
        "replit_md_path": "agency\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0004",
        "title": "AIBondIntelligence — Genitus Inc. AI/Crypto Bonds Platform",
        "project": "AIBondIntelligence",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "TypeScript",
          "Vite",
          "Express",
          "OpenAI GPT-4o",
          "Zod"
        ],
        "tags": [
          "landing-page",
          "bonds",
          "crypto",
          "ai-image-generation",
          "react",
          "express",
          "marketing",
          "genitus"
        ],
        "status": "production-ready",
        "overview": "Marketing-/Investor-Landingpage-Projekt fuer \"Genitus Inc.\" (Marke Domvs Avrea O.P.N), das institutionelle Produkte \"AI Bond Alpha\", \"Crypto Bond Prime\" und \"Equity Bond Select\" bewirbt. Enthaelt mehrere Landingpage-Varianten (Fund-Performance-Charts, Profit-Participation-Zertifikate, eine eigenstaendige Standalone-Version) plus einen kleinen Express-Server mit KI-Bildgenerierung fuer Bond-Illustrationen.",
        "elevator_pitch": "Eine institutionelle Investor-Landingpage fuer KI-/Krypto-Bond-Produkte, mit KI-generierten Illustrationen statt Stock-Fotos.",
        "target_audience": "Institutionelle Investoren/Family Offices, die an \"AI Bond Alpha\", \"Crypto Bond Prime\" oder \"Equity Bond Select\" interessiert sind.",
        "replit_md_path": "AIBondIntelligence\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0005",
        "title": "AIInvestmentAnalyzer - LeDash AI Investment Dashboard",
        "project": "AIInvestmentAnalyzer",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "TypeScript",
          "Vite",
          "Node.js",
          "Express",
          "Google Charts",
          "EOD Historical Data API"
        ],
        "tags": [
          "investment-dashboard",
          "baskets",
          "google-charts",
          "mock-data",
          "crypto",
          "dax-aktien",
          "genussschein",
          "react-vite",
          "eod-api"
        ],
        "status": "prototype",
        "overview": "LeDash ist ein Investment-Dashboard zur Performance-Visualisierung KI-verwalteter Anlagekörbe (\"Baskets\") aus Krypto, DAX-Aktien, Indizes und Einzeltiteln. Es existieren zwei parallele Frontends mit unterschiedlichem Branding: ein React/Vite-Client unter dem Namen \"DOMVS AVREA O.P.N - Genussschein Tracker\" und eine eigenständige statische Seite `LeDash.html` unter dem Namen \"LeDash - AI Investment Dashboard\". Kernidee: mehrere vordefinierte Fonds/Baskets werden als Flächendiagramme (Google Charts) mit prozentualer Wertentwicklung seit Jahresbeginn dargestellt.",
        "elevator_pitch": "LeDash zeigt in Echtzeit-Flächendiagrammen, wie neun KI-verwaltete Anlagekörbe aus Krypto, DAX-Aktien, Indizes und Einzeltiteln seit Jahresbeginn performen - auf einen Blick vergleichbar mit einer normierten Genussschein-Quote.",
        "target_audience": "Interessenten und Bestandskunden der Domvs Avrea O.P.N Genussschein-Produkte sowie Vermögensberater, die Performance-Transparenz gegenüber Kunden demonstrieren wollen.",
        "replit_md_path": "AIInvestmentAnalyzer\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0006",
        "title": "KI-Assistent Application (Genius Inc Corporate Assistant)",
        "project": "AILanguageExplorer",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "PostgreSQL",
          "Drizzle ORM",
          "OpenAI GPT-4o",
          "Replit Auth"
        ],
        "tags": [
          "ki-assistent",
          "crm",
          "kalender",
          "kontakte",
          "chat",
          "corporate",
          "react"
        ],
        "status": "production-ready",
        "overview": "Full-Stack-TypeScript-App: ein KI-Assistent, der Kalender, Kontakte und Websuche verwaltet, mit professionellem dunklem Corporate-UI unter der Marke \"Genius Inc Corporate Assistant\". Kombiniert Chat-Interface, CRM-artige Kontaktverwaltung, Kalendersynchronisation und OpenAI-gestützte Intent-Analyse.",
        "elevator_pitch": "Ein Corporate-KI-Assistent, der Kalender, Kontakte und Websuche in einem Chat-Interface vereint — mit echtem CRM-Import statt Mock-Daten.",
        "target_audience": "Corporate-Teams/Vertriebsassistenz, die einen zentralen KI-gestützten Arbeitsplatz für Kontakt-/Terminmanagement suchen.",
        "replit_md_path": "AILanguageExplorer\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0007",
        "title": "AiSketchCoder — Drawing App with Code Generation",
        "project": "AiSketchCoder",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "TypeScript",
          "Express",
          "PostgreSQL",
          "Drizzle"
        ],
        "tags": [
          "drawing-app",
          "canvas",
          "code-generation-stub",
          "react",
          "express",
          "creative-tool"
        ],
        "status": "prototype",
        "overview": "React-basierte Zeichen-App mit geplanter (aber nicht implementierter) Code-Generierung aus Zeichnungen. Bietet ein Canvas mit Zeichenwerkzeugen (Pinsel, Stift, Radierer, Rechteck, Kreis, Text), ein Tool-Panel und ein Code-Generation-Panel, das aktuell nur ein leeres Textfeld fuer Copy/Download bereitstellt.",
        "elevator_pitch": "Zeichne eine UI-Skizze, exportiere sie - die Code-Generierung ist als naechster Schritt vorbereitet, aber noch nicht live.",
        "target_audience": "Designer/Entwickler, die schnelle UI-Skizzen erstellen wollen (Code-Gen-Feature aktuell noch Stub - ehrlich kommunizieren statt zu ueberversprechen).",
        "replit_md_path": "AiSketchCoder\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0008",
        "title": "aldi — ALDI MEGA-PLATTFORM Project",
        "project": "aldi",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS/JS",
          "Bootstrap",
          "Chart.js/D3.js",
          "iframe-slideshow"
        ],
        "tags": [
          "fintech-concept",
          "slideshow",
          "presentation",
          "pricing-engine",
          "options-pricing",
          "prototype-suite"
        ],
        "status": "production-ready",
        "overview": "Visionaeres FinTech-Konzept, das reale Supermarkt-Assets (Lebensmittel) in den Finanzmarkt integriert - entwickelt als Prototyp fuer eine Infosys-Praesentation. `index.html` ist ein hochentwickeltes Fullscreen-Slideshow-Dashboard, das mehrere Einzel-Prototypen (Pricing-Engine, Trading-Hub, Optionspreis-Modell) zu einer Praesentation vereint.",
        "elevator_pitch": "Was, wenn Aldi-Preise wie Aktienkurse gehandelt wuerden? Eine vollstaendige Prototyp-Suite von dynamischer Preisbildung bis Optionshandel auf Lebensmittel.",
        "target_audience": "Ursprünglich fuer eine Infosys-Praesentation entwickelt - passt fuer Innovationsabteilungen im Retail-/Fintech-Bereich, die ein anschauliches \"Was-waere-wenn\"-Konzept brauchen.",
        "replit_md_path": "aldi\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0009",
        "title": "ANGELUS · Neural Liturgical Bell",
        "project": "ANGELUS",
        "category": "Religioes",
        "cluster": "Religioes",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML",
          "CSS",
          "Python http.server"
        ],
        "tags": [
          "catholic",
          "prayer",
          "bell",
          "static",
          "orbitron",
          "liturgical",
          "angelus",
          "pwa-ish"
        ],
        "status": "production-ready",
        "overview": "Eine einzelne, in sich geschlossene Web-App \"Angelus Domini · Neural Liturgical Bell\" — ein digitales katholisches Gebetsglocken-Tool fuer Angelus und Stundengebet, betitelt \"SYS · LITURGICAL CORE v2.6\" mit Untertitel \"Neural Bell · Angelus & Stundengebet\". Zeigt lokale Uhrzeit/Datum, Online/Offline-Status und ein \"Bell Control\"-Panel.",
        "elevator_pitch": "Eine digitale Angelus-Glocke fuers Handy — zeigt Zeit und Status und schlaegt die katholische Gebetsglocke, futuristisch gestylt statt kitschig-traditionell.",
        "target_audience": "Katholische Gemeinden/Pfarreien, private Andacht-Nutzer, Ergaenzung zum `kath-ki`-Oekosystem desselben Autors.",
        "replit_md_path": "ANGELUS\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0010",
        "title": "Legal Documentation Library (Anwalt) — Rebuild+Upgrade+Addon-Spezifikation v2",
        "project": "anwalt",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML/CSS",
          "Python (http.server/SimpleHTTPRequestHandler)",
          "kein Framework"
        ],
        "tags": [
          "legal-templates",
          "contracts",
          "nda",
          "gmbh",
          "c-corp",
          "dsgvo",
          "multi-jurisdiction",
          "static-site",
          "rechtsvorlagen",
          "startup-recht"
        ],
        "status": "production-ready",
        "overview": "Eine statische Bibliothek von 114 mehrsprachigen Rechtsdokument-Vorlagen (NDA, Arbeitsverträge, Startup/Equity, SaaS, IP, Datenschutz, Immobilien, Finance, Immigration u.a.) für die Jurisdiktionen Deutschland (GmbH), USA (C-Corp/Delaware), Kroatien (D.O.O.), Frankreich (SARL) und EU-Recht. Jede Vorlage ist eine eigenständige HTML-Seite mit `[Platzhalter]`-Feldern zum Ausfüllen, echten Gesetzeszitaten (BGB, GmbHG, DSGVO, USC, IRC, MarkenG etc.) und Print-Funktion. Ausgeliefert wird alles rein statisch aus `public/` über einen simplen Python-Dateiserver — es gibt **keinen** Flask-Server, obwohl ...",
        "elevator_pitch": "114 sofort einsatzbereite, mehrsprachige Rechtsdokument-Vorlagen für fünf Jurisdiktionen (DE/US/HR/FR/EU) mit echten Gesetzeszitaten — ausfüllen, drucken, fertig.",
        "target_audience": "Gründer, Startups, kleine Kanzleien, Freelancer und HR-Abteilungen, die Standardverträge ohne teure Anwaltsstunden brauchen.",
        "replit_md_path": "anwalt\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0011",
        "title": "Auction-Option // XETRA Auction Dashboard + Domvs Avrea Genussschein Suite",
        "project": "Auction-Option",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML",
          "CSS",
          "Vanilla JS",
          "React 18 (CDN)",
          "Babel Standalone",
          "Tailwind CSS",
          "Chart.js"
        ],
        "tags": [
          "xetra",
          "auktionssimulator",
          "orderbook",
          "genussschein",
          "optionsrechner",
          "black-scholes",
          "greeks",
          "domvs-avrea",
          "simulation"
        ],
        "status": "production-ready",
        "overview": "Eine Sammlung aus zwei thematisch getrennten, aber im selben Repo lebenden Tool-Familien: (1) ein professioneller **XETRA-Auktions- und Orderbuch-Simulator** (Eröffnungsauktion mit Überhang-Logik, kontinuierlicher Handel, NFT-Höchstgebot, Simulation-Engine) und (2) eine vollständige **Vertriebs-/Marketing- und Rechtsdokument-Suite für Genussscheine** der \"Domvs Avrea O.P.N GmbH\" (Pitch-Decks, Verträge, Zertifikate, Terminal-Simulator, Performance-Dashboard) samt eigenständiger Chatbot-, Info- und Prompt-Hub-Seiten. Alle Seiten sind eigenständige, framework-lose bzw. React-per-CDN HTML-Dateien ...",
        "elevator_pitch": "Ein Live-Simulator für die XETRA-Eröffnungsauktion und den kontinuierlichen Handel, gebündelt mit der kompletten Vertriebs- und Rechtsdokument-Suite für Domvs Avrea Genussscheine - von Order-Matching bis Beteiligungsvertrag in einem Repo.",
        "target_audience": "Trading-Schulungen/Demo-Zwecke für die Auktionslogik sowie Vertriebsteams und Investoren, die die Genussschein-Produktwelt (Pitch, Vertrag, Zertifikat, Performance) präsentiert bekommen sollen.",
        "replit_md_path": "Auction-Option\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0012",
        "title": "AutoBotHub",
        "project": "AutoGenerationPro",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Vite",
          "Express",
          "TypeScript",
          "Drizzle-Zod",
          "TanStack Query"
        ],
        "tags": [
          "multi-bot",
          "chat",
          "codegen",
          "html-editor",
          "debate-bot",
          "proxy",
          "react"
        ],
        "status": "production-ready",
        "overview": "Multi-Bot-Generierungssystem mit fünf Tabs (Chat, Code, HTML-Editor, Template, Debate). Alle KI-Aufrufe laufen über eine einzige zentrale Backend-Proxy-Route, damit Modell/Provider zentral steuerbar bleiben.",
        "elevator_pitch": "Fünf KI-Bots in einer App — Chat, Codegenerierung, Live-HTML-Editor, Templates und ein Debate-Bot, der zwei KI-Positionen gegeneinander antreten lässt.",
        "target_audience": "Entwickler/Power-User, die verschiedene KI-Anwendungsfälle an einem Ort brauchen; als Showcase für zentrale AI-Proxy-Architektur.",
        "replit_md_path": "AutoGenerationPro\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0013",
        "title": "BLUEHOST — domusaurea.tech Archiv-Export",
        "project": "BLUEHOST",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "Tailwind CDN",
          "JSON-Katalog"
        ],
        "tags": [
          "archive",
          "catalog",
          "portal",
          "static",
          "fintech",
          "ai-chatbots",
          "dvag",
          "hub",
          "search"
        ],
        "status": "production-ready",
        "overview": "Kein einzelnes Produkt, sondern ein klassifiziertes Archiv-Portal der Website `domusaurea.tech`: 1616 HTML-Dateien, mit KI-Metadaten aus `BLUEHOST.csv` angereichert und in 14 thematische Kategorien sortiert. `index.html` ist der Navigations-Hub ueber das gesamte Archiv (Fintech-Tools, KI-Chatbots, DVAG/Versicherung, Immobilien, Spiele, Legal-Dokumente u.v.m.).",
        "elevator_pitch": "Ein durchsuchbares Archiv-Portal fuer 1616 fertige Web-Apps aus Jahren Projektarbeit — sortiert in 14 Kategorien, mit Live-Suche.",
        "target_audience": "Der Autor selbst (Wiederverwendung/Portfolio), potenzielle Investoren/Kaeufer die den Gesamtbestand sichten wollen, Entwickler die Bausteine wiederverwenden moechten.",
        "replit_md_path": "BLUEHOST\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0014",
        "title": "bluehost-export (GoldShield AI - Premium Financial Intelligence)",
        "project": "bluehost-export",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "PWA-Manifest"
        ],
        "tags": [
          "landingpage",
          "seo",
          "goldshield",
          "static",
          "pwa",
          "marketing",
          "fintech"
        ],
        "status": "production-ready",
        "overview": "Einzelner statischer Export-Ordner mit nur einer, aber sehr umfangreichen Datei (`index.html`, 5527 Zeilen): die Landingpage \"GoldShield AI - Premium Financial Intelligence\" von Genitus Inc. (Daniel Gereci, CEO), beworben unter `globalfintech.net`. Nahezu identisch mit dem Schwesterprojekt `GLOBALFINTECH`.",
        "elevator_pitch": "Die offizielle Marketing-Landingpage für GoldShield AI — KI-gestützte Finanzanalysen mit RSI/SMA/Bollinger-Bands, verpackt in einer SEO-optimierten Single-Page.",
        "target_audience": "Potenzielle GoldShield-AI-Kunden/-Trader, die über Suchmaschinen/Social-Media auf das Produkt stoßen; intern als Referenz-Snapshot für das Marketing-Team.",
        "replit_md_path": "bluehost-export\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0015",
        "title": "bluehost-stack-catalog",
        "project": "bluehost-stack-catalog",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "Python Crawler",
          "Markdown/JSON/CSV Export"
        ],
        "tags": [
          "catalog",
          "crawler",
          "meta-documentation",
          "inventory",
          "duplicates",
          "bluehost"
        ],
        "status": "production-ready",
        "overview": "Kein eigenstaendiges Web-Projekt, sondern ein generierter Referenz-Katalog ueber die Live-Seite `https://bluehost-stack.replit.app/`. Ein Crawler (`bluehost_stack_catalog.py`) geht alle verlinkten Eintraege ab, sammelt Metadaten (Name, Kategorie, URL, HTTP-Status, Beschreibung, Content-Type) und erzeugt JSON/CSV/Markdown-Exporte. Inhaltlich derselbe \"BLUEHOST-UPDATE\"-Bestand wie im `BLUEHOST`-Projekt: 173 kuratierte Dateien in 11 Kategorien.",
        "elevator_pitch": "Ein automatisierter Katalog-Crawler, der 1653 Web-Apps in einem strukturierten, durchsuchbaren Dokument zusammenfasst — inklusive Sicherheits- und Duplikat-Hinweisen, die sonst niemand haette.",
        "target_audience": "Der Autor selbst zur Bestandsverwaltung, technische Auditoren/Kaeufer, die einen grossen App-Bestand schnell bewerten muessen.",
        "replit_md_path": "bluehost-stack-catalog\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0016",
        "title": "BoostBrain2 — Claude AI Chat Application",
        "project": "BoostBrain2",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "TypeScript",
          "Express",
          "Anthropic Claude API",
          "OpenAI DALL-E",
          "PostgreSQL"
        ],
        "tags": [
          "chatbot",
          "claude",
          "multimodal",
          "streaming",
          "avatar-generation",
          "react",
          "express"
        ],
        "status": "production-ready",
        "overview": "Vollstaendige Claude-AI-Chat-Anwendung mit React/TypeScript-Frontend und Express/Node.js-Backend. Unterstuetzt multimodale Konversationen (Text + Bild), Echtzeit-Streaming-Antworten, anpassbare Chat-Einstellungen und Avatar-Personalisierung, in rosa/pastellfarbenem Theming.",
        "elevator_pitch": "Ein voll ausgestatteter Claude-Chat-Client mit Live-Streaming, Bild-Uploads und KI-generierten Avataren.",
        "target_audience": "Power-User, die mehrere Claude-Modelle im Vergleich nutzen wollen, mit persoenlicher Avatar-Anpassung.",
        "replit_md_path": "BoostBrain2\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0017",
        "title": "BrokerBuddy - Broker Bot Daniel.AI / L'Average AI Pro / BROKER AI",
        "project": "BrokerBuddy",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "React",
          "TypeScript",
          "Vite",
          "Node.js",
          "Express",
          "Bootstrap 5",
          "Lightweight Charts",
          "html2canvas"
        ],
        "tags": [
          "trading-signale",
          "sma-crossover",
          "long-short",
          "comic-ui",
          "lightweight-charts",
          "proxy-api",
          "trade-empfehlung"
        ],
        "status": "production-ready",
        "overview": "Ein Trading-Empfehlungs-Werkzeug, das über einen fest verdrahteten externen Proxy (`https://theserver-open-ai.replit.app`) EOD- und Echtzeit-Kursdaten abruft und daraus einfache regelbasierte Long/Short-Empfehlungen mit Ziel-/Stop-Kursen ableitet. Es existieren drei Varianten desselben Grundkonzepts unter unterschiedlichem Branding: die React-App \"Broker Bot Daniel.AI\", die eigenständige Seite \"L'Average AI Pro - Safe Cross Strategy Terminal\" (SMA-Crossover-Fokus) und \"BROKER AI - Standalone\" (Comic-Karten-UI mit Tailwind).",
        "elevator_pitch": "Symbol eingeben, in Sekunden eine Long/Short-Empfehlung mit Ziel- und Stop-Kurs erhalten - BrokerBuddy liefert SMA-Crossover- und Preisvergleichs-Signale für DAX, Dow Jones, Krypto und mehr.",
        "target_audience": "Privatanleger/Trader, die schnelle, regelbasierte Handelssignale ohne eigene Analyse wollen; auch als Demo-Tool für \"AI\"-gestützte Trading-Assistenten positionierbar.",
        "replit_md_path": "BrokerBuddy\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0018",
        "title": "Job Search Application (CareerCrafter)",
        "project": "CareerCrafter",
        "category": "Bildung-Karriere",
        "cluster": "Bildung-Karriere",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "JSearch API",
          "Tailwind"
        ],
        "tags": [
          "job-search",
          "react",
          "express",
          "api-integration",
          "pagination",
          "bookmarks"
        ],
        "status": "prototype",
        "overview": "Mobile-first Job-Suche-App mit React (Vite) Frontend und Express-Backend, die Echtzeit-Jobangebote ueber die JSearch API (RapidAPI) liefert. Zusaetzlich existiert `FINALjobs.html` als eigenstaendige statische Vorab-/Backup-Version.",
        "elevator_pitch": "Eine mobile-first Jobsuche mit Live-Daten aus tausenden Stellenanzeigen, inkl. Merkliste und Suchverlauf.",
        "target_audience": "Jobsuchende, Recruiting-Startups als White-Label-Basis.",
        "replit_md_path": "CareerCrafter\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0019",
        "title": "ChartStyler — PeakValleyAI Stock Analysis",
        "project": "ChartStyler",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "Python",
          "Flask",
          "Flask-SQLAlchemy"
        ],
        "tags": [
          "stock-analysis",
          "flask",
          "peak-valley",
          "incomplete-model",
          "dashboard"
        ],
        "status": "prototype",
        "overview": "Flask-Web-App \"PeakValleyAI - Stock Analysis\" zur Aktienanalyse mit dunklem, gruen-akzentuiertem Finanz-Dashboard-Design. Enthaelt zusaetzlich eine eigenstaendige HTML-Standalone-Version (`PeakValleyAI_standalone.html`) ohne Flask-Backend.",
        "elevator_pitch": "Ein Flask-basiertes Aktienanalyse-Dashboard im dunklen Finanz-Look - aber die eigentliche Analyselogik ist aktuell nicht einsehbar.",
        "target_audience": "Vorlaeufig intern, bis das fehlende Datenmodell (`models.py`) nachbeschafft ist.",
        "replit_md_path": "ChartStyler\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0020",
        "title": "claude code export — Aktien / Börse / Trading Sammlung",
        "project": "claude code export",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "Static HTML/CSS/JS",
          "Chart.js",
          "Node.js (eod-proxy.js",
          "neural-api.js)"
        ],
        "tags": [
          "trading-tools",
          "fintech",
          "portfolio-analyse",
          "algo-trading",
          "interactive-brokers",
          "internationale-boersen",
          "neural-fintech",
          "chartjs"
        ],
        "status": "prototype",
        "overview": "Gefilterter Export von 156 aktien-, börsen-, trading-, portfolio-, markt- und finanzbezogenen Dateien aus einem größeren Bestand (laut `EXPORT-MANIFEST.txt`, \"CLAUDE CODE EXPORT — AKTIEN / BÖRSE / TRADING\"), Ordnerstruktur des Ursprungs bleibt erhalten. Kein einzelnes Produkt, sondern eine Sammlung dutzender eigenständiger statischer Trading-/Analyse-/Portfolio-Tools aus derselben \"NEURAL\"/\"GENITUS\"-Fintech-Toolfamilie, plus ein internationaler Börsenindex-Bereich mit ~55 länder-/marktspezifischen Seiten und eine ältere Parallel-Sammlung (`1aBOT/Fintech/`).",
        "elevator_pitch": "Eine ganze Sammlung von 156 eigenständigen Trading-, Analyse- und Portfolio-Tools aus der NEURAL/GENITUS-Fintech-Familie — von Algo-Trading-Bot bis internationale Börsenindizes.",
        "target_audience": "Trader, Fintech-Enthusiasten und Portfolio-Manager sowie das Genitus/DOMVS-AVREA-Ökosystem selbst als Tool-Baukasten für Cross-Promotion.",
        "replit_md_path": "claude code export\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0021",
        "title": "CLAUDE-PWA — Neutral PWA Master Template",
        "project": "CLAUDE-PWA",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Vanilla PWA Shell",
          "Node.js CLI-Skripte",
          "JSON-Schema"
        ],
        "tags": [
          "template",
          "pwa",
          "generator",
          "tooling",
          "meta-projekt",
          "branding",
          "cli"
        ],
        "status": "production-ready",
        "overview": "Kein Endprodukt, sondern ein wiederverwendbares Meta-Template (\"neutral master template for turning an existing web stack into installable, brandable PWAs\"), das zusammen mit App-Briefing, Quellmodulen, Marken-Assets und Zugriffsrichtlinie an einen Coding-Agenten übergeben wird, um daraus eine eigenständige PWA zu erzeugen. Bewusst unabhängig von den anderen Projekten (Orbitron, Genitus) gehalten.",
        "elevator_pitch": "Ein neutrales PWA-Baukasten-Template — App-Config + Module + Branding + Zugriffsrichtlinie rein, fertige installierbare PWA raus.",
        "target_audience": "Interne Entwicklungsteams/Agenten, die wiederholt neue gebrandete PWAs aus bestehenden Web-Stacks bauen; Agentur-Kontext mit mehreren Kundenprojekten.",
        "replit_md_path": "CLAUDE-PWA\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0022",
        "title": "NEXUS Command — RTS",
        "project": "CPlusPlus",
        "category": "Games",
        "cluster": "Games",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "TypeScript",
          "Vite",
          "Canvas2D"
        ],
        "tags": [
          "rts",
          "game",
          "strategy",
          "pathfinding",
          "ai",
          "typescript",
          "canvas",
          "starcraft-like"
        ],
        "status": "production-ready",
        "overview": "Browser-basiertes StarCraft-2-artiges Echtzeit-Strategiespiel (RTS) in TypeScript + Vite + Canvas2D. Nach eigenem Changelog ein Major-Refactor eines fruehen Prototyps (Diagonal-Speed-Bug, kein Pathfinding, `alert()`-UI) hin zu einer vollstaendigen Engine mit A*-Pathfinding, Fog of War, Partikelsystem und Smart-AI-Gegner.",
        "elevator_pitch": "Ein komplettes Echtzeit-Strategiespiel im StarCraft-Stil, das direkt im Browser laeuft — mit A*-KI-Gegner, Fog of War und echtem prozeduralem Sound.",
        "target_audience": "Browser-Game-Portale, Portfolio-Demo fuer Gameplay-Programmierung, Hobby-Spieler.",
        "replit_md_path": "CPlusPlus\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0023",
        "title": "CreditWall — AI Image Forge Ultimate (\"L'Imagia\")",
        "project": "CreditWall",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "Flask",
          "Python 3.11",
          "PostgreSQL",
          "SQLAlchemy",
          "Tailwind CSS",
          "Stripe",
          "Leonardo.ai API",
          "Gunicorn",
          "Vanilla JS"
        ],
        "tags": [
          "ai-image-generation",
          "saas",
          "credit-system",
          "stripe-billing",
          "leonardo-ai",
          "royal-luxury-design",
          "flask",
          "image-gallery"
        ],
        "status": "production-ready",
        "overview": "CreditWall ist eine Flask/PostgreSQL-SaaS-App zur KI-Bildgenerierung über die Leonardo.ai-API mit einem Credit-basierten Bezahlmodell (Stripe-Checkout). Der Browser-Tab heißt \"AI Image Forge Ultimate\", das Produkt-Branding im Header (`<h1 class=\"app-title\">`) lautet jedoch **\"L'Imagia\"** — beide Namen sind im Quellcode real vorhanden und sollten im Rebuild konsistent gewählt/gemappt werden. Neue Nutzer erhalten 10 Gratis-Credits, generierte Bilder laufen nach 14 Tagen automatisch ab (DB-Cleanup-Job).",
        "elevator_pitch": "L'Imagia\" ist ein Pay-per-Image AI-Bildgenerator im königlichen Luxus-Look — Nutzer kaufen Credits, geben einen Prompt ein und erhalten in Sekunden bis zu 8 KI-Bilder gleichzeitig.",
        "target_audience": "Content-Creator, Marketer, Social-Media-Manager und Hobby-Designer, die ohne eigenes Leonardo.ai-Abo schnell hochwertige AI-Bilder brauchen; auch als White-Label-SaaS-Vorlage für andere Bild-APIs geeignet.",
        "replit_md_path": "CreditWall\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0024",
        "title": "CRYPTO-TANKSTELLE — GENITUS Quantum Crypto Orbitron",
        "project": "CRYPTO-TANKSTELLE",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS/JS",
          "Chart.js",
          "EOD-Proxy"
        ],
        "tags": [
          "crypto",
          "dashboard",
          "sma",
          "markov",
          "knn",
          "hmm",
          "scanner",
          "static"
        ],
        "status": "production-ready",
        "overview": "Multi-Page-Crypto-Dashboard-Suite, die Echtzeit-USD-Preise und historische EOD-Daten ueber einen eigenen EOD-Proxy abruft. Jede Seite ist eine eigenstaendige statische HTML-Datei im gemeinsamen dunklen Cyberpunk-Design (Orbitron + Share Tech Mono), mit gemeinsamer Fetch-/SMA-Logik.",
        "elevator_pitch": "Ein komplettes Krypto-Analyse-Cockpit mit 1.900+ Coins, von einfachen SMA-Signalen bis zu Markov-/HMM-Regime-Erkennung.",
        "target_audience": "Krypto-Trader, die ueber einfache Preis-Charts hinaus quantitative Signale (SMA/RSI/Markov/KNN/HMM) wollen.",
        "replit_md_path": "CRYPTO-TANKSTELLE\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0025",
        "title": "GENITUS // Quantum Crypto Orbitron (Archiv-Vorgängerversion)",
        "project": "CRYPTO-TANKSTELLE-archiv-20260714",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML",
          "CSS",
          "JavaScript",
          "Chart.js",
          "EOD-Proxy-API"
        ],
        "tags": [
          "crypto",
          "dashboard",
          "orbitron",
          "cyberpunk",
          "archiv",
          "watchlist",
          "RSI-bot",
          "korrelationsscanner"
        ],
        "status": "archiv-duplikat",
        "overview": "Archivierte Vorgängerversion (Stand 2026-07-14) des Projekts `CRYPTO-TANKSTELLE`: ein Multi-Page Crypto-Dashboard mit EOD-Proxy-Datenanbindung, 40 kuratierten Coins in vier Tiers (Majors/Core/Gems/Moonshots), einer erweiterten `cc-liste.html` mit 190 Coins, einem RSI(14)-Papertrading-Bot (`RSI.html`) und einem Korrelations-/Outlier-Scanner (`korrelation.html`). Dark-Cyberpunk-Design mit Orbitron + Share Tech Mono. Quelle enthält eine eigene, funktionierende Alt-`replit.md` (siehe `CRYPTO-TANKSTELLE\\replit.md`), die bereits ausreichend Struktur- und Feature-Dokumentation lieferte; diese Archivk...",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "CRYPTO-TANKSTELLE-archiv-20260714\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0026",
        "title": "CRYPTO-TANKSTELLE (archivierte Version, Stand 2026-07-15)",
        "project": "CRYPTO-TANKSTELLE-archiv-20260715",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "EOD-Proxy"
        ],
        "tags": [
          "archiv",
          "duplikat",
          "krypto",
          "trading",
          "dashboard",
          "siehe-kanonisch"
        ],
        "status": "archiv-duplikat",
        "overview": "",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "CRYPTO-TANKSTELLE-archiv-20260715\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0027",
        "title": "CryptoTraderPro — FinTech Startup EOD Proxy",
        "project": "CryptoTraderPro",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "React",
          "Vite",
          "Express",
          "TypeScript",
          "EODHD API"
        ],
        "tags": [
          "krypto",
          "eod-proxy",
          "react",
          "express",
          "prototype",
          "trading"
        ],
        "status": "prototype",
        "overview": "Ein schlankes Fintech-Projekt: React-Frontend-Gerüst (Titel \"FinTech Startup\", Inhalt weitgehend generisch/leer) plus Express-Backend, das als Proxy vor die EODHD-API geschaltet ist. Enthält zusätzlich drei Referenz-HTML-Tools aus dem BLUEHOST-Archiv als Ausgangsmaterial für die Krypto-Funktionalität.",
        "elevator_pitch": "Ein EODHD-API-Proxy-Backend für Krypto-Kursdaten, mit fertigen Referenz-UI-Layouts aus dem BLUEHOST-Archiv als Ausgangsmaterial.",
        "target_audience": "Intern als Entwicklungs-Zwischenstand; noch nicht endkundenreif.",
        "replit_md_path": "CryptoTraderPro\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0028",
        "title": "Cum-Ex & Cum-Cum Educational Guide (cumex)",
        "project": "cumex",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "CSS"
        ],
        "tags": [
          "bildung",
          "steuerrecht",
          "e-book",
          "static",
          "aufklaerung",
          "finanzsysteme",
          "deutsch"
        ],
        "status": "production-ready",
        "overview": "Statische Bildungswebsite, die die Cum-Ex- und Cum-Cum-Steuerschemata in einfacher deutscher Sprache erklärt — Grundlagen (Aktien, Dividenden, Kapitalertragsteuer) bis zu den beiden Steuerschemata, die in Deutschland ca. 40 Milliarden Euro Schaden verursachten.",
        "elevator_pitch": "Eine verständliche Erklärseite, die den größten Steuerskandal Deutschlands (Cum-Ex/Cum-Cum, ~40 Mrd. € Schaden) Schritt für Schritt von den Grundlagen bis zum Mechanismus erklärt.",
        "target_audience": "Bildungseinrichtungen/Journalismus-Ausbildung, interessierte Laien ohne Finanz-Vorwissen, Aufklärungs-/NGO-Kontexte.",
        "replit_md_path": "cumex\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0029",
        "title": "BATCH PROCESSOR — Mistral Batch API Interface",
        "project": "DABATCHFORREAL",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Flask",
          "Mistral Batch API",
          "JSZip"
        ],
        "tags": [
          "batch-processing",
          "mistral",
          "ai",
          "cost-saving",
          "flask",
          "jsonl"
        ],
        "status": "production-ready",
        "overview": "Web-Interface zum Verarbeiten mehrerer Prompts ueber Mistral AIs **Batch API** (nicht die Completions API), mit Flask-Backend fuer Job-Erstellung, Status-Polling und Ergebnisabruf — laut eigener Doku 50% guenstiger als die reguläre Completions API. Titel der App: \"⚡ BATCH PROCESSOR - Mistral AI Streaming Interface\".",
        "elevator_pitch": "Prompts im Batch statt einzeln an eine KI schicken — 50% guenstiger als normale Chat-API-Calls, mit Web-Interface statt Kommandozeile.",
        "target_audience": "Entwickler/Firmen mit hohem KI-API-Volumen, die Kosten sparen wollen.",
        "replit_md_path": "DABATCHFORREAL\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0030",
        "title": "Corporate App Gallery — Premium HTML5 Solutions",
        "project": "DaBATCH-JOB",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "Standalone HTML5",
          "Three.js",
          "Chart.js",
          "GSAP"
        ],
        "tags": [
          "corporate",
          "showcase",
          "deutsche-bank",
          "allianz",
          "news",
          "fintech-hub",
          "multi-app"
        ],
        "status": "prototype",
        "overview": "Sammlung von 20+ eigenstaendigen, framework-losen HTML5-Corporate-Apps (Deutsche Bank, Allianz, Die Zeit, DOMVS AVREA Fintech Hub u.a.), die aus urspruenglichen Batch-generierten Prototypen zu produktionsreifen Websites weiterentwickelt werden. Jede App ist eine Single-File-HTML mit Inline-CSS/JS, Libraries nur via CDN (Three.js, Chart.js, GSAP).",
        "elevator_pitch": "20+ fertige Corporate-Demo-Websites fuer grosse Marken (Deutsche Bank, Allianz, Die Zeit) — als Beweis fuer Web-Entwicklungs-Skills auf Konzernniveau.",
        "target_audience": "Agenturen/Freelancer als Portfolio-Beweis, potenzielle Corporate-Kunden zur Inspiration.",
        "replit_md_path": "DaBATCH-JOB\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0031",
        "title": "Corporate MVPs (daBATCH-job-runde3)",
        "project": "daBATCH-job-runde3",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "TypeScript",
          "Vite",
          "pnpm Workspaces",
          "Turbo",
          "Mapbox GL"
        ],
        "tags": [
          "corporate-mvp",
          "monorepo",
          "adidas",
          "siemens",
          "lufthansa",
          "mercedes",
          "showcase"
        ],
        "status": "production-ready",
        "overview": "5 corporate-ready, produktionsreife Frontend-MVPs, transformiert aus HTML-Prototypen: Adidas (E-Commerce), Siemens (IoT-Dashboard), Lufthansa (Travel-Plattform), DIE ZEIT (News), Mercedes-Benz (Connected Car). Monorepo mit pnpm Workspaces + Turbo, React 18 + TypeScript + Vite 5. Laut eigenem Status \"✅ PRODUCTION-READY\", Architect-Review bestanden (25.10.2025).",
        "elevator_pitch": "5 komplette Konzern-taugliche Frontend-Demos (Adidas, Siemens, Lufthansa, Zeit, Mercedes) in einem professionellen Monorepo — der Beweis, dass ein einzelnes Setup fuer fuenf komplett unterschiedliche Branchen funktioniert.",
        "target_audience": "Agenturen/Freelancer als Skill-Beweis fuer Enterprise-Frontend-Entwicklung, potenzielle Corporate-Kunden.",
        "replit_md_path": "daBATCH-job-runde3\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0032",
        "title": "dacasestudy — KI Power Index (KIP) Final Report 2025",
        "project": "dacasestudy",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Chart.js",
          "JavaScript"
        ],
        "tags": [
          "case-study",
          "report",
          "ai-metrics",
          "static-site",
          "chart.js",
          "kip-index",
          "benchmark"
        ],
        "status": "production-ready",
        "overview": "Statische Web-Analyse-Plattform, die KI-Faehigkeiten in menschlich nachvollziehbaren Groessen quantifiziert (inspiriert von James Watts Pferdestaerken-Metrik). Dokumentiert 10 Phasen des KI-gestuetzten Entwicklungswachstums (2023-2025) als Fallstudie/Report ueber Produktivitaetssteigerung durch KI-Tools.",
        "elevator_pitch": "Wie viel staerker macht dich KI wirklich? Der KI Power Index misst es in konkreten Vielfachen menschlicher Faehigkeit - mit 10 dokumentierten Entwicklungsphasen als Beweis.",
        "target_audience": "Tech-Entscheider, Investoren oder Blog-/Konferenz-Publikum, die einen datengetriebenen Nachweis fuer den Produktivitaetsgewinn durch KI-Tools (speziell Replit Agent & Co.) sehen wollen.",
        "replit_md_path": "dacasestudy\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0033",
        "title": "Daniel Gereci / Genitus Inc. – KI-Manager & DVAG-Berater Multi-Site",
        "project": "daniel",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML/CSS/JS",
          "Tailwind CSS (CDN)",
          "OpenAI GPT-4o-mini (externer Proxy)",
          "Leaflet.js",
          "Marked.js",
          "Font Awesome"
        ],
        "tags": [
          "dvag",
          "finanzberater",
          "ki-chatbot",
          "genitus",
          "landingpage",
          "multi-persona",
          "openai-proxy",
          "personal-branding"
        ],
        "status": "prototype",
        "overview": "Ein Bündel von statischen HTML-Einzelseiten (kein Build-System, kein Framework) rund um zwei Personas: **Daniel Gereci** – wahlweise als CEO/KI-Manager von **Genitus Inc.** (AI-Growth-Agentur) oder als **DVAG-Vermögensberater** in Düsseldorf – und seine Frau **Kerstin Gereci** (ebenfalls DVAG-Beraterin, Familienfokus). Jede Seite ist ein eigenständiges, vollständig gestyltes Landingpage-Dokument (Tailwind via CDN, Google Fonts, Font Awesome) mit eigenem Farb-Theme, das sich per Fetch-Aufruf an einen externen KI-Chat-Proxy (`theserver-open-ai.replit.app`) andockt. Es gibt keinen gemeinsamen Hea...",
        "elevator_pitch": "Multi-Persona-Landingpage-Bündel für den DVAG-Berater Daniel Gereci (und Ehefrau Kerstin) mit eingebautem 24/7-KI-Finanzcoach-Chat.",
        "target_audience": "Privatkunden/Familien in Düsseldorf und Umgebung, die einen persönlichen Finanzberater suchen, sowie B2B-Leads für Genitus Inc./KI-Beratung.",
        "replit_md_path": "daniel\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0034",
        "title": "DataScienceToolkit — Le Marché AI Trading Dashboard",
        "project": "DataScienceToolkit",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Python",
          "Streamlit",
          "yfinance",
          "Plotly"
        ],
        "tags": [
          "streamlit",
          "technical-analysis",
          "rsi",
          "bollinger-bands",
          "dashboard"
        ],
        "status": "production-ready",
        "overview": "Streamlit-basiertes Finanz-Dashboard \"Le Marché AI\" mit Echtzeit-Aktienanalyse und Visualisierung. Bietet technische Analyse-Tools (RSI, gleitende Durchschnitte, Bollinger-Baender), interaktive Plotly-Charts und Datenverarbeitung ueber yfinance.",
        "elevator_pitch": "Ein Streamlit-Dashboard, das RSI/MA/Bollinger-Signale live aus echten Yahoo-Finance-Daten berechnet und visualisiert.",
        "target_audience": "Analysten/Trader, die schnelle technische Analyse ohne eigenes Python-Setup wollen.",
        "replit_md_path": "DataScienceToolkit\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0035",
        "title": "DeepDiveResearcher — Deep Research Bot",
        "project": "DeepDiveResearcher",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "React 18",
          "TypeScript",
          "Express",
          "WebSocket",
          "PostgreSQL",
          "Drizzle ORM",
          "Vite",
          "TanStack Query",
          "Shadcn/ui",
          "Radix UI",
          "OpenAI Deep Research API",
          "Orbitron"
        ],
        "tags": [
          "ai-research",
          "deep-research",
          "openai",
          "websocket",
          "realtime-progress",
          "orbitron",
          "dark-glassmorphism",
          "citations"
        ],
        "status": "production-ready",
        "overview": "DeepDiveResearcher ist eine Full-Stack-App (React + Express + WebSocket + Postgres/Drizzle), die OpenAI's Deep Research API (Modelle `o3-deep-research`, `o4-mini-deep-research`) kapselt: Nutzer stellen eine Rechercheanfrage, sehen den Fortschritt live über WebSocket und erhalten am Ende einen strukturierten Bericht mit Quellenangaben. Zusätzlich existieren zwei eigenständige, self-contained HTML-Exporte (`FINALdeep.html`, `NEURALdeep.html`) im futuristischen Dark-Glassmorphism-Look mit Orbitron-Font.",
        "elevator_pitch": "Ein \"KI-Rechercheassistent-Cockpit\" — Frage eingeben, Live-Fortschrittsbalken beobachten, fertigen Report mit Zitaten und Export (HTML/Markdown/LinkedIn-Share) erhalten.",
        "target_audience": "Analysten, Consultants, Studierende, Content-Teams und alle, die tiefgehende, quellenbelegte Recherchen ohne manuelles Multi-Tab-Googeln brauchen.",
        "replit_md_path": "DeepDiveResearcher\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0036",
        "title": "Deep Research Bibliothek (deepresearch)",
        "project": "deepresearch",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "Bootstrap 5",
          "Font Awesome"
        ],
        "tags": [
          "bibliothek",
          "research-reports",
          "ki-generiert",
          "katalog",
          "wissenssammlung",
          "static",
          "bootstrap"
        ],
        "status": "production-ready",
        "overview": "Statische HTML-Bibliothek mit über 150 deutschsprachigen \"Deep Research\"-Berichten zu einer sehr breiten Themenpalette, per Prompt-Vorlagen für ChatGPT/Claude generiert. Eine zentrale `index.html` dient als kategorisierter Katalog/Registry.",
        "elevator_pitch": "Eine kuratierte, kategorisierte Bibliothek von 150+ KI-generierten Tiefenrecherchen zu Themen von KI-Coding bis Quantenmechanik — durchsuchbar über ein zentrales Katalog-Portal.",
        "target_audience": "Wissensarbeiter/Researcher, die Themenüberblicke brauchen; Content-Ersteller, die Ausgangsmaterial für eigene Artikel suchen; interne Wissensdatenbank für das Genitus-Ökosystem.",
        "replit_md_path": "deepresearch\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0037",
        "title": "Admin Dashboard (deluxedatamanger)",
        "project": "deluxedatamanger",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "Drizzle",
          "Neon PostgreSQL",
          "TanStack Query"
        ],
        "tags": [
          "admin-dashboard",
          "cms",
          "file-manager",
          "crud",
          "database",
          "folder-explorer"
        ],
        "status": "production-ready",
        "overview": "Express + Drizzle (Neon Postgres) Backend mit React + TanStack Query + shadcn Frontend zur Verwaltung von Artikeln, Bildern, Suchanfragen, Files (HTML/Bilder), Site-Stats, Kategorien und Nutzern. Vollstaendiges CRUD-Admin-Tool mit Folder-Explorer, Datei-Vorschau und Auto-Sortier-Funktion.",
        "elevator_pitch": "Ein Enterprise-Admin-Dashboard, das Artikel, Bilder, Dateien und Nutzer in einer Oberflaeche verwaltet — inklusive einem Datei-Explorer mit Live-Vorschau und automatischer Sortierung.",
        "target_audience": "Betreiber content-lastiger Plattformen (z.B. das eigene `BLUEHOST`-Archiv oder `kath-ki`s eBook-Bibliothek), die eine zentrale Verwaltungsoberflaeche brauchen.",
        "replit_md_path": "deluxedatamanger\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0038",
        "title": "Genitus Inc - Denarius | Financial Analytics Dashboard",
        "project": "DenariusFinance",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Vite",
          "Express",
          "EOD Historical Data API"
        ],
        "tags": [
          "fintech",
          "dashboard",
          "long-short",
          "trading",
          "eod-api",
          "genitus",
          "react"
        ],
        "status": "production-ready",
        "overview": "Fintech-Dashboard \"Denarius\" für Marktanalyse und LONG/SHORT-Trading-Empfehlungen über sechs Assetklassen (Krypto, Aktien, Forex, Bonds, Commodities, Indizes). Marke \"Genitus Inc\". Existiert als React-App plus zwei parallele statische HTML-Standalone-Versionen (iterative Entwicklung).",
        "elevator_pitch": "Ein Multi-Asset-Dashboard, das über sechs Assetklassen hinweg automatisch LONG/SHORT-Empfehlungen aus echten EOD-Marktdaten berechnet.",
        "target_audience": "Privatanleger mit Multi-Asset-Interesse, Trading-Communities, als Widget für andere Genitus-Fintech-Produkte.",
        "replit_md_path": "DenariusFinance\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0039",
        "title": "Emergency & Diabetes Care Bot - LifeSaver",
        "project": "DiabetesGuardian",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "GPT-4o-mini",
          "TTS"
        ],
        "tags": [
          "medical",
          "emergency",
          "diabetes",
          "chatbot",
          "tts",
          "vision",
          "health"
        ],
        "status": "prototype",
        "overview": "KI-gestuetzte medizinische Assistenz-App mit zwei Modi: akute Notfallhilfe (\"emergency\") und Diabetes-Management-Beratung (\"diabetes\"). Titel: \"Emergency & Diabetes Care Bot - LifeSaver\". React/Express-Vollversion plus eine eigenstaendige statische Vorabversion `FINALsos.html`.",
        "elevator_pitch": "Ein KI-Chatbot, der in zwei Modi hilft — Notfall-Erste-Hilfe oder Diabetes-Management-Beratung, inklusive Bildanalyse und Sprachausgabe.",
        "target_audience": "Diabetiker und Angehoerige, Ersthelfer-Situationen, Gesundheits-Apps als Zusatzfeature.",
        "replit_md_path": "DiabetesGuardian\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0040",
        "title": "DVAG E-Book-Kollektion (Karriereleitfaden + Matrix-Lore)",
        "project": "DVAGintranet",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML",
          "Tailwind CSS (Play-CDN)",
          "Alpine.js",
          "Bootstrap 5",
          "Google Fonts"
        ],
        "tags": [
          "dvag",
          "ebook",
          "karriereleitfaden",
          "vertriebsberater",
          "matrix-lore",
          "genitus",
          "finanznote",
          "eqf",
          "onboarding"
        ],
        "status": "production-ready",
        "overview": "Dieses Projekt enthält zwei eigenständige, deutschsprachige Single-File-HTML-E-Books für das DVAG-Umfeld (Deutsche Vermögensberatung AG): **\"DVAG E-Book 2025 – Karriereleitfaden\"** (`index.html`, 41 Kapitel + Epilog, ~5.900 Zeilen) und **\"CODE GENESIS: Der GENITOR und die Matrix\"** (`matrix-ebook.html`, 10 Kapitel, ~5.000 Zeilen). Ersteres ist ein vollständiges Onboarding-, Trainings- und Nachschlagewerk für DVAG-Vermögensberater (von \"First Steps\" bis Direktionsleiter-Vision 2030), letzteres ist eine fiktionale Sci-Fi/Matrix-Erzählung mit religiösen Motiven, die die Marke **Genitor / Genitus*...",
        "elevator_pitch": "Zwei komplette, druckfertige Single-File-E-Books für die DVAG-Welt: ein 41-Kapitel-Karriereleitfaden für Vermögensberater und eine Matrix-inspirierte Markenerzählung für Genitus/Genitor - beide offline lesbar und direkt als PDF exportierbar.",
        "target_audience": "Neue und bestehende DVAG-Vermögensberater/Direktionsleiter (Onboarding, Coaching, Leadership) sowie Marketing-Zielgruppen der Genitus-Inc.-Marke, die die Matrix-Erzählung als Origin-Story konsumieren.",
        "replit_md_path": "DVAGintranet\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0041",
        "title": "DVAG FinanzExpert - AI-Powered Financial Advisory System",
        "project": "DVAGlanding",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "Tailwind CSS",
          "OpenAI GPT-4o-mini",
          "Whisper",
          "TTS"
        ],
        "tags": [
          "dvag",
          "finanzberatung",
          "ki-training",
          "crm",
          "sales-enablement",
          "static",
          "monolithisch"
        ],
        "status": "production-ready",
        "overview": "Umfassende AI-gestützte Finanzberatungs- und Trainingsplattform für DVAG-Berater (Deutsche Vermögensberatung): Gesprächssimulation, CRM, Wissensmanagement und Sales-Enablement in einer monolithischen HTML-App-Suite. Teil eines Ökosystems mit \"Advisor+\" (Premium), \"Basix\" (Basis-Simulator) und \"LeCRM\" (CRM+KI-Assistent).",
        "elevator_pitch": "Neun fertige DVAG-Trainingsmodule — von Gesprächssimulator über CRM bis Windows-Style-Premium-Portal — komplett KI-gestützt, in 24 Stunden AI-generiert.",
        "target_audience": "DVAG-Berater als tägliches Trainingswerkzeug, DVAG-Vertriebsleitung für White-Label-Rollout an Teams.",
        "replit_md_path": "DVAGlanding\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0042",
        "title": "DVAG-LEMIX — DVAG Financial Calculator Tools",
        "project": "DVAG-LEMIX",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML/CSS/JS",
          "Tailwind",
          "Bootstrap",
          "Materialize",
          "Chart.js",
          "EOD-Proxy"
        ],
        "tags": [
          "dvag",
          "financial-calculator",
          "etf",
          "mortgage",
          "debt-payoff",
          "estate-planning",
          "career"
        ],
        "status": "production-ready",
        "overview": "Production-ready Suite von 6 Finanzrechner-Tools fuer DVAG-Finanzberater mit DWS-Xtrackers-ETF-Integration und intelligenter historischer Analyse (5-Jahres-CAGR aus EOD-Daten). Alle 6 Tools sind eigenstaendige HTML-Dateien im Bloomberg-Dark-Theme.",
        "elevator_pitch": "6 fertige DVAG-Finanzrechner in einem Bloomberg-Dark-Design - von ETF-Sparplan bis Nachlass-Planung.",
        "target_audience": "DVAG-Finanzberater fuer Kundenberatungsgespraeche vor Ort.",
        "replit_md_path": "DVAG-LEMIX\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0043",
        "title": "DVAG VBA Trainingsportal & Akquise-Toolkit",
        "project": "dvag-test",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "Static HTML/CSS/JS",
          "Vanilla JavaScript",
          "Google Fonts (Orbitron)",
          "Font Awesome",
          "localStorage"
        ],
        "tags": [
          "dvag",
          "vba-ausbildung",
          "quiz",
          "cheatsheet",
          "akquise",
          "b2b-vertrieb",
          "provisionsrechner",
          "schulung"
        ],
        "status": "prototype",
        "overview": "Statisches HTML/CSS/JS-Bundle für die DVAG-Ausbildung zum Vermögensberater im Aufbau (VBA): ein Quiz-Cheatsheet-System mit 48–58 Prüfungsfragen aus 6–7 Fachkapiteln, ein komplettes Agenturleiter-Akquisematerial (Pitches, Wochenplan, Mind Map, 22-Schritte-Ablauf), fünf B2B-Firmenkunden-Guides sowie ein \"DVAG OS 1.1\" genannter Portal-Launcher (`index.html`), der alle Dateien – lokal und extern gehostet unter `domusaurea.tech` bzw. `dvag-test.replit.app` – als anklickbare Icon-Kacheln bündelt. Alle Inhalte sind auf Daniel Gereci (DVAG-Berater, Düsseldorf, 17 Jahre Erfahrung) personalisiert. Der e...",
        "elevator_pitch": "Komplettes DVAG-VBA-Ausbildungspaket — Prüfungscheatsheets, Akquise-Playbook und B2B-Firmenkundenmaterial in einem Portal gebündelt.",
        "target_audience": "DVAG-Berater im Aufbau (VBA), Agenturleiter und deren B2B-Firmenkundenteam.",
        "replit_md_path": "dvag-test\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0044",
        "title": "DVAG OS 1.1 - Financial Advisor Portal (dvao-os-1)",
        "project": "dvao-os-1",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "CSS3",
          "Font Awesome"
        ],
        "tags": [
          "dvag",
          "desktop-ui",
          "finanzberater",
          "glasmorphismus",
          "portal",
          "iframe",
          "static"
        ],
        "status": "prototype",
        "overview": "\"Desktop-OS\"-artiges Web-Portal für Finanzberater (DVAG-Bezug): simuliert eine Betriebssystem-Oberfläche (Desktop-Icons, Taskbar, Fullscreen-Overlay-Fenster) als Zugang zu Vertriebs-/Beratungsmaterial. Laut eigenem Abschlussbericht \"S+ TIER / Status: Production Ready\" bewertet — allerdings mit zwei leeren Platzhalter-Unterordnern.",
        "elevator_pitch": "Ein Betriebssystem-artiges Desktop-Portal, das 40+ DVAG-Vertriebsressourcen (Slides, B2B-Material, Provisionsrechner) hinter einer futuristischen Kommandozentrale bündelt.",
        "target_audience": "DVAG-Finanzberater als tägliches Arbeits-Cockpit, DVAG-Vertriebsleitung für White-Label-Rollout.",
        "replit_md_path": "dvao-os-1\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0045",
        "title": "DVAG Investment Strategies for Beginners (ebookdvga)",
        "project": "ebookdvga",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "Tailwind CDN",
          "Alpine.js"
        ],
        "tags": [
          "ebook",
          "dvag",
          "investment-education",
          "tailwind",
          "alpine",
          "single-page",
          "german"
        ],
        "status": "production-ready",
        "overview": "Deutschsprachige Investment-Strategie-Bildungs-eBook-App fuer Einsteiger, erstellt fuer DVAG (Deutsche Vermoegensberatung). Moderne produktionsreife Single-Page-Website mit 20 umfassenden Lernabschnitten zu Anlagegrundlagen, Strategien und Portfolio-Management, professionellem DVAG-Branding. Redesign Oktober 2025 auf Tailwind CSS + Alpine.js.",
        "elevator_pitch": "Ein komplettes, druckfertiges Investment-Lehrbuch fuer DVAG-Kunden — 20 Kapitel von Grundlagen bis Fallstudien, in einer einzigen HTML-Datei.",
        "target_audience": "DVAG-Berater als Kundenmaterial, Einsteiger-Anleger, die strukturiert Anlagewissen aufbauen wollen.",
        "replit_md_path": "ebookdvga\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0046",
        "title": "famer-und-jager — German Financial Education Ebook Library + HAUSMAISTER Saga",
        "project": "famer-und-jager",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Alpine.js",
          "SVG",
          "Python"
        ],
        "tags": [
          "ebook-library",
          "finance-education",
          "storytelling",
          "german",
          "tailwind",
          "cross-navigation"
        ],
        "status": "production-ready",
        "overview": "Umfassende deutschsprachige eBook-Bibliothek mit einer 12-Kapitel-Aufstiegsgeschichte (\"HAUSMAISTER: Vom Obdachlosen zum Millionaer\", ~14.000 Woerter) plus 6 Finanz-Fachbuechern (1.008 Kapitel gesamt: Trading-Psychologie, Investment, Trading-Strategien, Finanzgeschichte). Alle Buecher professionell mit Tailwind CSS + Alpine.js gestaltet, mit durchgaengiger Cross-Navigation.",
        "elevator_pitch": "Eine komplette Finanzbildungs-Bibliothek mit ueber 1.000 Kapiteln plus einer emotionalen 12-Kapitel-Aufstiegsgeschichte, alles cross-verlinkt und mobil nutzbar.",
        "target_audience": "Trading-/Finanz-Lernende, die strukturierte Fachinhalte suchen, sowie Leser, die sich per Storytelling (HAUSMAISTER-Saga) motivieren lassen wollen.",
        "replit_md_path": "famer-und-jager\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0047",
        "title": "FibonacciTrader - FiboTrader Pro / Fibonacci-Based Trading Signals Platform",
        "project": "FibonacciTrader",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML",
          "CSS",
          "Vanilla JS",
          "Node.js",
          "Express",
          "TypeScript",
          "EOD Historical Data API",
          "Yahoo Finance API"
        ],
        "tags": [
          "fibonacci",
          "retracement",
          "extension-levels",
          "trading-signale",
          "demo-simulation",
          "websocket-ungenutzt"
        ],
        "status": "prototype",
        "overview": "Eine Trading-Analyse-Plattform rund um Fibonacci-Retracements/-Extensions. Die eigenständige Vorab-Version `finalfibo.html` (\"FiboTrader Pro - Fibonacci Retracement Calculator\") berechnet aus High/Low-Werten eines Symbols klassische Fibonacci-Level und liefert dazu eine feste \"Goldman Sachs Trading Strategie\" mit Entry-/Risikoregeln. Die spätere React/Express-Version baut dasselbe Konzept zu einer vollen Plattform mit Symbolsuche, echten Marktdaten, Signalen, Alerts, Watchlist und Portfolio aus.",
        "elevator_pitch": "High/Low eingeben, sofort alle klassischen Fibonacci-Retracement- und Extension-Level berechnet bekommen - inklusive fertiger Entry-, Stop- und Risk-Management-Strategie.",
        "target_audience": "Trader, die technische Fibonacci-Analyse ohne manuelle Berechnung nutzen wollen; als Demo/Lehrmittel für Fibonacci-Trading-Konzepte geeignet.",
        "replit_md_path": "FibonacciTrader\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0048",
        "title": "Fintech - Sammlung statischer Trading/Fintech-Tools",
        "project": "Fintech",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "EOD Historical Data API",
          "Yahoo Finance API"
        ],
        "tags": [
          "fintech",
          "trading",
          "sammlung",
          "landingpages",
          "whitepaper",
          "genitus",
          "goldshield",
          "static"
        ],
        "status": "production-ready",
        "overview": "33 eigenständige statische HTML-Dateien rund um Trading, Finanzprodukte und KI-gestützte Marktanalyse — keine einzelne App, sondern eine Sammlung von Prototypen, Landingpages, Dashboards und Tools aus mehreren Replit-Sessions unter den Marken \"Genitus Inc.\", \"GoldShield\", \"DOMVS AVREA\" und \"NEURAL_*\". Kein gemeinsames Backend, jede Datei ist in sich geschlossen.",
        "elevator_pitch": "33 fertige Fintech-Tools und -Landingpages aus dem Genitus-Ökosystem — Trading-Dashboards, Whitepaper, Wertpapier-Prospekte, alles sofort nutzbar.",
        "target_audience": "Interner Fundus für neue Genitus-Produktideen; einzelne Seiten (z.B. Trading Journal, Robo-Advisor-Pitch) auch direkt endkundentauglich.",
        "replit_md_path": "Fintech\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0049",
        "title": "Forex Analytics Dashboard",
        "project": "ForexAnalyticsDashboard",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "Node.js",
          "Express",
          "React/Vite shell",
          "EOD API"
        ],
        "tags": [
          "forex",
          "dashboard",
          "eod-api",
          "intraday",
          "boilerplate",
          "incomplete"
        ],
        "status": "prototype",
        "overview": "Forex-/Marktdaten-Dashboard-Projekt mit sehr duennem Backend (im Wesentlichen Boilerplate mit einem funktionalen Endpunkt) und einer begleitenden, aber im Extrakt **beschaedigten** Standalone-HTML-Datei (`leglobal-aintraday.html`).",
        "elevator_pitch": "Ein Forex-Intraday-Dashboard mit Live-Kursanbindung an XETRA/Crypto-Symbole — aktuell aber nur als Fragment vorhanden, nicht demofertig.",
        "target_audience": "Intern/Entwickler-Team zur Fertigstellung; kein Endkunden-Pitch in diesem Zustand moeglich.",
        "replit_md_path": "ForexAnalyticsDashboard\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0050",
        "title": "free-programming-books-main",
        "project": "free-programming-books-main",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "F",
        "tech_stack": [
          "Markdown",
          "Jekyll/GitHub Pages",
          "static-content-repo"
        ],
        "tags": [
          "fremdes-repo",
          "open-source",
          "CC-BY-4.0",
          "programmierbuecher",
          "kein-eigenes-produkt",
          "referenzmaterial"
        ],
        "status": "dead-scaffold",
        "overview": "Geklontes Open-Source-Repository `EbookFoundation/free-programming-books` (CC BY 4.0) — eine kuratierte, mehrsprachige Liste kostenloser Programmier-Lernressourcen (Buecher, Kurse, Screencasts). Kein eigener App-Code, keine eigene Server-Logik, reines Dokumentations-/Content-Repo mit der Original-Ordnerstruktur (`books/`, `courses/`, `casts/`, `more/`, `docs/`).",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "free-programming-books-main\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0051",
        "title": "FUNandPROFIT — Domvs Avrea O.P.N GmbH Institutional AI Solutions Website",
        "project": "FUNandPROFIT",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML/CSS",
          "Tailwind CSS CDN",
          "Schema.org"
        ],
        "tags": [
          "corporate-website",
          "landing-page",
          "seo",
          "fintech-holding",
          "static",
          "marketing"
        ],
        "status": "production-ready",
        "overview": "Corporate-Marketing-Website fuer Domvs Avrea O.P.N GmbH, einen deutschen Anbieter institutioneller KI-Loesungen fuer Finanzdienstleistungen (KI-Beratung, algorithmischer Handel, Robo-Advisory, FinTech). Reine clientseitige statische Website ohne Backend, mit mehreren parallelen Design-Iterationen.",
        "elevator_pitch": "Die Corporate-Landingpage fuer eine KI-Fintech-Holding mit 6 Divisionen - SEO-optimiert und deployfertig.",
        "target_audience": "Institutionelle Investoren/Partner, die sich einen Ueberblick ueber das gesamte \"Genitus/Domvs Avrea\"-Portfolio verschaffen wollen.",
        "replit_md_path": "FUNandPROFIT\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0052",
        "title": "ORBITRON - Neural Games Hub (games)",
        "project": "games",
        "category": "Games",
        "cluster": "Games",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "PWA",
          "Font Awesome",
          "Vanilla JS"
        ],
        "tags": [
          "games",
          "portal",
          "pwa",
          "launcher",
          "iframe",
          "arcade",
          "casino",
          "entertainment"
        ],
        "status": "production-ready",
        "overview": "Installierbare (PWA-fähige) Spiele-Portal-Seite (\"Games Command Portal\"), fungiert als Sidebar-Launcher für eine große Zahl externer Browserspiele. Alle Spiele werden nicht lokal gehostet, sondern per Klick in Tabs/iframes von externen Replit-Apps nachgeladen.",
        "elevator_pitch": "Ein installierbares Spiele-Portal mit sieben Kategorien und dutzenden Titeln — von Arcade-Klassikern bis Trivia — alles über eine dunkle Neural-UI erreichbar.",
        "target_audience": "Endnutzer, die eine zentrale, installierbare Spielesammlung wollen; als Ökosystem-Baustein auch Cross-Promotion-Kanal für andere Genitus/Orbitron-Produkte.",
        "replit_md_path": "games\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0053",
        "title": "Gamma Studio Engine",
        "project": "GAMMA-APP",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Node.js",
          "Express",
          "Gamma API"
        ],
        "tags": [
          "api-proxy",
          "presentation-generation",
          "bulk-export",
          "pdf",
          "image-extraction",
          "internal-tool"
        ],
        "status": "production-ready",
        "overview": "Node/Express-Backend mit Single-Page-Frontend, das die externe Gamma-API (developers.gamma.app) vollstaendig kapselt: Praesentationen/Dokumente per Prompt/Template generieren, bestehende Decks als PDF/PPTX/PNG exportieren (einzeln oder als Bulk-ZIP bis 1000 Decks), Workspace-Metadaten verwalten und Analytics auswerten. Erstellt fuer \"Daniel Gereci (Genitus Inc / Domvs Avrea O.P.N GmbH)\".",
        "elevator_pitch": "Eine komplette Gamma-API-Kommandozentrale: Praesentationen generieren, in Bulk exportieren, Bilder aus PDFs extrahieren.",
        "target_audience": "Internes Team (Genitus/Domvs Avrea), das regelmaessig viele Gamma-Praesentationen erzeugt/exportiert.",
        "replit_md_path": "GAMMA-APP\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0054",
        "title": "GEMINI-OS // NEURAL-OS Agent Hub + EOD-Proxy Backend",
        "project": "GEMINI-OS",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "Node.js",
          "Express",
          "cors",
          "express-rate-limit",
          "HTML",
          "CSS",
          "JS",
          "Chart.js",
          "Lightweight Charts",
          "EODHD API",
          "OpenAI/Mistral/Anthropic/Perplexity/Gemini Proxy"
        ],
        "tags": [
          "backend-hub",
          "api-proxy",
          "eod-daten",
          "secret-vault",
          "agent-hub",
          "trading-tools",
          "ki-proxy",
          "neural-os"
        ],
        "status": "production-ready",
        "overview": "GEMINI-OS (\"NEURAL-OS // Agent Hub\") ist der zentrale Backend- und Tool-Hub des gesamten Domvs-Avrea/Genitus-Ökosystems: ein echter Express-Server (`index.js`, 1040 Zeilen) mit Secret-Vault, Rate-Limiting und einem universellen AI/Finanzdaten-Proxy (`/api/chat`, `/api/vision`, `/api/eod`, `/api/perplexity`, `/api/gemini` u.a.), plus 60+ eigenständige HTML-Tools rund um Trading, Marktanalyse und KI-Agenten. Deployed unter `https://gemini-os.replit.app` wird der `/api/eod`-Endpunkt nachweislich von Schwesterprojekten (u.a. LANG-CHAIN, CRYPTO-TANKSTELLE) als gemeinsame EOD-Marktdaten-Quelle refer...",
        "elevator_pitch": "Der zentrale Agent-Hub des gesamten Genitus/Domvs-Avrea-Ökosystems: ein echter Express-Server mit Secret-Vault und universellem KI-/Marktdaten-Proxy, plus 60+ eigenständige Trading- und Analyse-Tools unter einer durchsuchbaren Oberfläche.",
        "target_audience": "Interne Entwickler und Schwesterprojekte (LANG-CHAIN, CRYPTO-TANKSTELLE u.a.), die eine gemeinsame EOD-/KI-API-Infrastruktur brauchen, sowie Trader, die einzelne Neural-OS-Tools direkt nutzen wollen.",
        "replit_md_path": "GEMINI-OS\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0055",
        "title": "Generali - Versicherung & Investment Platform (generali)",
        "project": "generali",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Python",
          "Flask",
          "Materialize CSS",
          "Chart.js",
          "Perplexity AI"
        ],
        "tags": [
          "insurance",
          "generali",
          "perplexity-ai",
          "financial-tools",
          "flask",
          "modular"
        ],
        "status": "production-ready",
        "overview": "Production-ready Versicherungs- und Finanzplattform der Generali mit KI-gestuetzter Web-Suche durch Perplexity AI. Bietet intelligente konversationelle Suche mit Versicherungs-Spezialisierung, Finanzrechner und umfassende Infos zu Versicherungs-/Investmentprodukten. Laut eigenem Status \"✅ PRODUCTION-READY\", Architect-Review bestanden (2025-10-28).",
        "elevator_pitch": "Eine Versicherungsplattform mit echter KI-Web-Suche statt starrer FAQ — Kunden fragen in eigenen Worten, bekommen aktuelle Antworten mit Quellenangaben.",
        "target_audience": "Generali-Kunden/Interessenten, Versicherungsvermittler als Beratungstool.",
        "replit_md_path": "generali\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0056",
        "title": "genitormatrix — CODE GENITOR: Theological Science Fiction Trilogy",
        "project": "genitormatrix",
        "category": "Religioes",
        "cluster": "Religioes",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS",
          "custom design system"
        ],
        "tags": [
          "theological-fiction",
          "trilogy",
          "storytelling",
          "catholic",
          "sci-fi",
          "ebook",
          "german"
        ],
        "status": "production-ready",
        "overview": "Epische deutschsprachige Trilogie ueber Glauben, KI und menschliche Erloesung mit durchgaengiger katholischer Theologie, Sakramenten und christlichen Symbolen - positioniert als \"Theological Science Fiction\" im Stil von C.S. Lewis und Philip K. Dick. Alle drei Teile vollstaendig und als publikationsreif markiert.",
        "elevator_pitch": "Eine Sci-Fi-Trilogie, in der jeder Band ein katholisches Sakrament als narrative Struktur nutzt - Maschinen, die um Erloesung ringen, in kinematischer Prosa.",
        "target_audience": "Leser theologischer Science-Fiction (Crossover-Publikum aus Glaubens-Community und klassischem Sci-Fi-Publikum), Nischenverlage fuer religioese/philosophische Genre-Literatur.",
        "replit_md_path": "genitormatrix\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0057",
        "title": "Genitus Inc. - Realtime AI Robo Advisor",
        "project": "GenitusBroker",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Node.js",
          "Express",
          "Python",
          "yfinance"
        ],
        "tags": [
          "robo-advisor",
          "stocks",
          "dashboard",
          "yfinance",
          "node-python-hybrid",
          "indices"
        ],
        "status": "production-ready",
        "overview": "\"Robo Advisor\"-Dashboard fuer Echtzeit-Marktdaten (Aktienindizes, Intraday-Kurse). Titel der Standalone-Version: \"Realtime AI - Premium ROBO ADVISOR by Genitus Inc\". Ungewoehnliche Node+Python-Hybrid-Architektur: Express ruft ein Python-Skript (`yfinance`) als Subprozess auf statt eigener HTTP-Client-Logik.",
        "elevator_pitch": "Ein Robo-Advisor-Dashboard, das Weltindizes und Einzelaktien in Echtzeit anzeigt — inklusive Ausfallsicherheit, falls die Datenquelle mal haengt.",
        "target_audience": "Genitus-Nutzer, private Anleger, die einen schnellen Marktueberblick wollen.",
        "replit_md_path": "GenitusBroker\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0058",
        "title": "genitus-db-online — GENITUS File Management System",
        "project": "genitus-db-online",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "React",
          "TypeScript",
          "Vite",
          "Wouter",
          "TanStack Query",
          "Tailwind CSS",
          "Shadcn/ui",
          "Radix UI",
          "Express.js",
          "Node.js",
          "Drizzle ORM",
          "Neon PostgreSQL",
          "OpenAI GPT-4o",
          "Framer Motion"
        ],
        "tags": [
          "file-management",
          "database",
          "GENITUS",
          "AI-Copilot",
          "auto-categorization",
          "drag-and-drop",
          "admin-tool",
          "HTML-Katalog"
        ],
        "status": "prototype",
        "overview": "React+Express+PostgreSQL-Anwendung zur zentralen Verwaltung und Kategorisierung tausender HTML-Dateien im \"GENITUS\"-Oekosystem — einer umfangreichen Sammlung von KI-Tools, Trading-Plattformen, Bildungsressourcen, Spielen und Business-Apps (laut `metrics_export.txt`: **1.700+ HTML-Anwendungen in 16 Kategorien**). Das System erlaubt Browsen, Kategorisieren, Suchen und Verwalten dieser Dateien, mit KI-gestuetzten Features fuer automatische Kategorisierung, Inhaltsanalyse und intelligente Organisation via OpenAI GPT-4o.",
        "elevator_pitch": "Ein KI-Kurator fuer eine 1.700+ Apps grosse HTML-Sammlung — automatische Kategorisierung, Duplikaterkennung und Drag&Drop-Organisation statt manueller Excel-Listen.",
        "target_audience": "Interne Verwaltung/Kuratierung der GENITUS-/Domus-Aurea-Projektfamilie selbst; als Blaupause auch fuer jedes Unternehmen mit grossen, unstrukturierten Web-Asset-Sammlungen (Agenturen, Digital-Archive).",
        "replit_md_path": "genitus-db-online\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0059",
        "title": "Genitus Inc. - AI Software Factory (genitusorg)",
        "project": "genitusorg",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "Static HTML",
          "Font Awesome",
          "Google Fonts"
        ],
        "tags": [
          "landingpage",
          "unternehmen",
          "seo",
          "static",
          "corporate",
          "genitus"
        ],
        "status": "production-ready",
        "overview": "Statische Unternehmens-/Marketing-Landingpage für \"Genitus Inc.\": positioniert das Unternehmen als KI-Software-Schmiede mit Fokus auf Fintech-Produkte (CelestiaOS-Ökosystem, GlobalFintech, GoldShield AI).",
        "elevator_pitch": "Die Corporate-Landingpage von Genitus Inc. — der KI-Software-Schmiede hinter dem CelestiaOS-Ökosystem mit 41+ Tools und den GlobalFintech/GoldShield-AI-Produkten.",
        "target_audience": "Investoren/Partner, die sich über Genitus Inc. als Unternehmen informieren wollen; potenzielle B2B-Kunden für Enterprise-SaaS-Entwicklung.",
        "replit_md_path": "genitusorg\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0060",
        "title": "Genitus Inc. - Trading Platform",
        "project": "GenitusTrade",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS/JS",
          "Chart.js",
          "Spectre.css"
        ],
        "tags": [
          "trading-simulation",
          "game",
          "static",
          "demo",
          "portfolio"
        ],
        "status": "production-ready",
        "overview": "Statische Trading-Plattform-Oberflaeche mit simuliertem Aktienhandel (\"Genitus Inc. Stock Trading\"). Zwei Varianten im selben Ordner, beide mit Titel \"Genitus Inc. - Trading Platform\".",
        "elevator_pitch": "Eine simulierte Aktienhandels-Oberflaeche zum risikofreien Ueben - zwei Design-Varianten zur Wahl.",
        "target_audience": "Trading-Einsteiger, die ohne echtes Geld eine Handelsoberflaeche kennenlernen wollen.",
        "replit_md_path": "GenitusTrade\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0061",
        "title": "Generali Insurance & Investment Tools (genrali2)",
        "project": "genrali2",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Vanilla JS",
          "Materialize CSS",
          "Chart.js",
          "jsPDF",
          "Signature Pad"
        ],
        "tags": [
          "insurance",
          "generali",
          "sales-bot",
          "contract-generation",
          "pdf",
          "digital-signature"
        ],
        "status": "production-ready",
        "overview": "Deutschsprachige Client-Side-Single-Page-Anwendung fuer Generali mit interaktiven Finanzplanungs- und Versicherungsberatungs-Tools (Zinseszins, Rente, Steuer, Asset-Allocation, ETF-Vergleich, BU-Risiko, Szenarienplanung) sowie einem KI-gestuetzten Versicherungs-Verkaufsbot mit Vertragsgenerierung und digitaler Signatur (`LeGeneral.html`).",
        "elevator_pitch": "Ein KI-Verkaufsbot, der nicht nur berät, sondern direkt einen rechtssicher formulierten Vertrag mit digitaler Unterschrift und PDF-Export generiert — vom Gespraech bis zum Vertragsabschluss in einer Sitzung.",
        "target_audience": "Generali-Vertriebsmitarbeiter/Makler als Verkaufswerkzeug, Endkunden im Beratungsgespraech.",
        "replit_md_path": "genrali2\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0062",
        "title": "GoldShield AI - Premium Financial Intelligence (GLOBALFINTECH)",
        "project": "GLOBALFINTECH",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "PWA-Manifest",
          "JSON-LD/Schema.org"
        ],
        "tags": [
          "goldshield",
          "landingpage",
          "seo",
          "fintech",
          "pwa",
          "static",
          "marketing"
        ],
        "status": "production-ready",
        "overview": "Eine einzelne, sehr umfangreich SEO-optimierte statische Landingpage/App für \"GoldShield AI\", Marke von Genitus Inc. (Daniel Gereci, CEO). KI-gestützte Finanzanalysen, AI Trading Systeme, AI Investment Consulting, technische Indikatoren (RSI, SMA, Bollinger Bands), Echtzeit-Marktdaten. Firmensitz laut Geo-Tags: Düsseldorf & Newark, Delaware (Domvs Aurea O.P.N.). Kanonische Domain: `globalfintech.net`.",
        "elevator_pitch": "Die SEO-optimierte Flagship-Landingpage für GoldShield AI — KI-Finanzanalyse mit RSI/SMA/Bollinger Bands, für Suchmaschinen UND KI-Crawler gleichermaßen optimiert.",
        "target_audience": "Organischer Suchverkehr/Trader, die nach KI-Trading-Tools suchen; auch als Referenz für LLM-/KI-Crawler-SEO-Best-Practice im eigenen Ökosystem.",
        "replit_md_path": "GLOBALFINTECH\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0063",
        "title": "GlobalNewsCentral — NEWSFLOW.AI",
        "project": "GlobalNewsCentral",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "2",
        "rebuild_grade": "A",
        "tech_stack": [
          "Express",
          "Node.js",
          "TypeScript",
          "rss-parser",
          "React",
          "Vite",
          "Drizzle-style schema",
          "Orbitron",
          "Share Tech Mono"
        ],
        "tags": [
          "news-aggregator",
          "rss",
          "cyberpunk",
          "orbitron",
          "multi-category",
          "trending",
          "csv-export",
          "neural-orbitron"
        ],
        "status": "prototype",
        "overview": "NEWSFLOW.AI ist ein Express/TypeScript-Backend, das RSS-Feeds aus fünf Kategorien (general, business, technology, science, religion) von einer breiten Quellenliste (Reuters, NYT, Guardian, Welt.de, Handelsblatt, FAZ, Bloomberg, TechCrunch, Wired, The Verge, Heise, Golem, Spektrum, NASA, Vatican News, Kath.net, Domradio u. a.) parst, dedupliziert und über eine REST-API ausliefert. Die interaktive React-Oberfläche ist im vorliegenden Extrakt nicht enthalten (nur der generische Vite-Shell in `client/index.html`); als vollständige, eigenständig lauffähige Referenz für Content und Design dient der ...",
        "elevator_pitch": "Ein Cyberpunk-gestyltes \"Neural News Terminal\", das Nachrichten aus Top-Weltmedien in Echtzeit sammelt, nach Kategorie/Trend filtert und als durchsuchbares, exportierbares Dashboard darstellt.",
        "target_audience": "Info-affine Power-User, Newsrooms/Redaktionsteams, die einen Multi-Quellen-Überblick brauchen, sowie Entwickler, die eine White-Label-News-Aggregations-API suchen.",
        "replit_md_path": "GlobalNewsCentral\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0064",
        "title": "goldi1 — GoldShield Trading AI",
        "project": "goldi1",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "TypeScript",
          "Express",
          "OpenAI GPT-4o",
          "PostgreSQL",
          "JWT",
          "Stripe",
          "EOD API"
        ],
        "tags": [
          "trading-chatbot",
          "ai-analysis",
          "subscription",
          "jwt-auth",
          "stripe",
          "react",
          "express"
        ],
        "status": "production-ready",
        "overview": "Premium-Finanz-KI-Chatbot-Plattform mit React/TypeScript-Frontend und Express-Backend, die Echtzeit-Marktdatenanalyse (EOD Historical Data API) mit OpenAI-GPT-4o-gestuetzten Trading-Insights kombiniert. JWT-Token-basierte Premium-Zugangskontrolle mit Stripe-Abo-Integration.",
        "elevator_pitch": "Ein Premium-KI-Trading-Assistent, der Live-Marktdaten analysiert und automatisch konkrete Handelsplaene generiert - mit eingebauter Stripe-Bezahlschranke.",
        "target_audience": "Ambitionierte Privattrader, die bereit sind fuer ein Abo-Modell zu zahlen, im Austausch fuer aggressive, umsetzbare Handelsanalysen statt reiner Datenanzeige.",
        "replit_md_path": "goldi1\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0065",
        "title": "GoldShield Trading AI (Archiv)",
        "project": "goldi1-archiv-20260608",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "F",
        "tech_stack": [
          "React",
          "TypeScript",
          "Express.js",
          "PostgreSQL",
          "EOD Historical Data API",
          "OpenAI GPT-4o",
          "JWT",
          "Stripe"
        ],
        "tags": [
          "archiv",
          "goldshield",
          "trading-ai",
          "chatbot",
          "dvag",
          "genitus",
          "stripe",
          "jwt",
          "premium-access"
        ],
        "status": "archiv-duplikat",
        "overview": "",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "goldi1-archiv-20260608\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0066",
        "title": "goldi1 (archivierte Version, Stand 2026-06-22)",
        "project": "goldi1-archiv-20260622-a",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "EOD Historical Data API",
          "OpenAI GPT-4o"
        ],
        "tags": [
          "archiv",
          "duplikat",
          "goldshield",
          "chatbot",
          "trading",
          "siehe-kanonisch"
        ],
        "status": "archiv-duplikat",
        "overview": "",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "goldi1-archiv-20260622-a\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0067",
        "title": "Goldshield AI - Stock Tracker",
        "project": "GoldshieldTracker",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Python",
          "Flask",
          "Jinja2",
          "Chart.js",
          "EOD API"
        ],
        "tags": [
          "stocks",
          "long-short",
          "signal",
          "flask",
          "dashboard",
          "pivot-analysis"
        ],
        "status": "production-ready",
        "overview": "Single-Stock-Dashboard, das historische EOD-Kursdaten abruft und per Vergleich des aktuellen Schlusskurses gegen einen \"Pivot\"-Preis (letzter Freitag des Vormonats) eine LONG/SHORT-Empfehlung generiert. Nutzer koennen per Suchformular beliebige Ticker abfragen; Server-seitig gerendertes Bootstrap-Dashboard mit Sentiment-Bar und Chart.js-Kurschart.",
        "elevator_pitch": "Ticker eingeben, sofort eine LONG/SHORT-Empfehlung samt Chart bekommen — basierend auf einer einfachen, nachvollziehbaren Pivot-Regel statt Blackbox-KI.",
        "target_audience": "Privatanleger, die eine schnelle erste Einschaetzung zu einer Aktie wollen.",
        "replit_md_path": "GoldshieldTracker\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0068",
        "title": "GoldShield AI Trading (Genitus Inc.)",
        "project": "GoldShieldTrading",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "React (ungenutzt)",
          "Express (ungenutzt)"
        ],
        "tags": [
          "goldshield",
          "landingpage",
          "trading",
          "marketing",
          "static",
          "robo-advisor"
        ],
        "status": "prototype",
        "overview": "Marketing-/Landingpage für \"GoldShield AI - Premium Financial Intelligence\" unter der Marke \"Genitus Inc.\". Bewirbt eine KI-Trading-Suite mit \"Daniel.AI Robo Advisor\", Zugang zu 70+ globalen Börsen, Fibonacci-Analyse und \"Vision AI\"-Features. Ein React/Express-Gerüst existiert daneben, ist aber funktionslos.",
        "elevator_pitch": "Die Marketing-Landingpage für GoldShield AI — Zugang zu 70+ globalen Börsen, Fibonacci-Analyse und Robo-Advisor, in einer einzigen fertigen HTML-Seite.",
        "target_audience": "Potenzielle GoldShield-AI-Kunden, die über Marketing-Kanäle auf das Produkt stoßen.",
        "replit_md_path": "GoldShieldTrading\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0069",
        "title": "Secret Vault Server (gptKEYserver)",
        "project": "gptKEYserver",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "Node.js",
          "Express"
        ],
        "tags": [
          "secret-vault",
          "api-keys",
          "infrastructure",
          "backend-only",
          "security",
          "proxy"
        ],
        "status": "production-ready",
        "overview": "Zentralisierter Secret-Vault-Server, der API-Keys fuer mehrere Dienste (Mistral, Anthropic/Claude, Perplexity, EOD Financial, Stripe, Gemini) sicher verwaltet und ueber einen einzigen Endpunkt an alle Web-Apps im Genitus/DOMVS-AVREA-Oekosystem verteilt. Leichtgewichtiger, zustandsloser Express-Server mit Header-basierter Authentifizierung.",
        "elevator_pitch": "Ein zentraler Tresor fuer alle API-Keys — statt 40+ Apps mit eigenen `.env`-Dateien, ein einziger sicherer Endpunkt fuer alle.",
        "target_audience": "Interner Infrastruktur-Baustein fuer den Autor selbst, der Dutzende Fintech-/KI-Apps betreibt — kein Endkunden-Produkt.",
        "replit_md_path": "gptKEYserver\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0070",
        "title": "MedAssist - German Medical AI Assistant",
        "project": "HealthAiCompanion",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "PostgreSQL",
          "Drizzle ORM",
          "OpenAI GPT-4o-mini",
          "Web Speech API"
        ],
        "tags": [
          "medizin",
          "chatbot",
          "gesundheit",
          "dsgvo",
          "sprache",
          "deutsch",
          "react",
          "ki-assistent"
        ],
        "status": "prototype",
        "overview": "Deutschsprachiger medizinischer KI-Assistent als Full-Stack-Web-App: Chat-Interface mit Spracherkennung, Konversationsverwaltung und verpflichtendem medizinischem Disclaimer-System, GDPR-konform.",
        "elevator_pitch": "Ein deutschsprachiger medizinischer KI-Chatbot mit Sprach-Ein-/Ausgabe und eingebautem DSGVO-/Disclaimer-System für sicheren Gesundheits-Erstkontakt.",
        "target_audience": "Gesundheits-Apps/Portale, die einen niedrigschwelligen KI-Ersteinstieg für Patienten anbieten wollen; Krankenkassen/Praxen als White-Label-Baustein.",
        "replit_md_path": "HealthAiCompanion\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0071",
        "title": "HEIKIN-ASHI-1 — MEGA STOCKS Global Momentum Scanner",
        "project": "HEIKIN-ASHI-1",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS/JS",
          "Lightweight Charts",
          "EOD API"
        ],
        "tags": [
          "momentum-scanner",
          "heikin-ashi",
          "mtf-analysis",
          "static",
          "global-markets"
        ],
        "status": "production-ready",
        "overview": "Statischer, weltweiter Momentum-Scanner (\"MEGA STOCKS - Global Momentum Scanner\") mit Heikin-Ashi-Flip-Erkennung, Multi-Timeframe-Analyse (Alexander Elders Triple Screen) und STOP-ENTRY-TRIGGER-Berechnung, deploybar als reine statische Site. Enthaelt zudem mehrere verwandte Standalone-Tools (Chat, IDE, Stack-Uebersicht) im selben Ordner.",
        "elevator_pitch": "Ein globaler Momentum-Scanner ueber 38 Maerkte mit Heikin-Ashi-Flip-Erkennung und Multi-Timeframe-Bestaetigung.",
        "target_audience": "Swing-/Positionstrader, die systematische Trendwechsel-Signale ueber viele internationale Maerkte hinweg suchen.",
        "replit_md_path": "HEIKIN-ASHI-1\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0072",
        "title": "history — Geschichtsbibliotheken Projekt (100% Complete)",
        "project": "history",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS/JS",
          "static site",
          "JSON data"
        ],
        "tags": [
          "history-education",
          "ebook-library",
          "static-site",
          "search",
          "mobile-responsive",
          "german"
        ],
        "status": "production-ready",
        "overview": "Statische, produktionsreife Bildungsplattform mit zwei parallelen Geschichts-Bibliotheken (206 eBooks \"Gruene Library\" + 175 Kapitel \"Blaue Library\") fuer deutsche Schueler (12-18 Jahre), inkl. Suchfunktion, Burger-Menu-Navigation und vollstaendigem Mobile-Responsive-Design. Laut eigener Statusangabe 91% durchschnittliche Content-Vollstaendigkeit bei 100% funktionaler Vollstaendigkeit.",
        "elevator_pitch": "Zwei komplette Geschichts-Bibliotheken - 206 eBooks und 175 durchsuchbare Kapitel - fuer den deutschen Schulunterricht, mobil-optimiert und ohne einen einzigen Server.",
        "target_audience": "Schueler (12-18 Jahre) und Lehrkraefte im deutschsprachigen Geschichtsunterricht, die eine durchsuchbare Referenzbibliothek statt verstreuter Einzelquellen brauchen.",
        "replit_md_path": "history\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0073",
        "title": "HTML-BACKUP — Vulgata Chronica Bibel-Galerie & Kreuzweg",
        "project": "HTML-BACKUP",
        "category": "Religioes",
        "cluster": "Religioes",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML",
          "CSS",
          "Vanilla JS",
          "Google Fonts",
          "Font Awesome"
        ],
        "tags": [
          "bibel-galerie",
          "kreuzweg",
          "via-crucis",
          "katholisch",
          "kalender",
          "andacht",
          "religioes"
        ],
        "status": "prototype",
        "overview": "Ein flaches Backup/Export-Verzeichnis katholischer HTML-Einzelseiten ohne Server, Build-System oder Framework. Kernstueck ist eine 365-Tage-Bibelbild-Galerie (\"Vulgata Chronica\"), ergaenzt um einen Bibelkalender, den Kreuzweg (Via Crucis, 14 Stationen) und zwei Evangelium-Diashows. Die eigentlichen Quelldateien liegen im Unterordner `HTML-BACKUP\\HTML-BACKUP\\` (verschachtelte ZIP-Struktur), nicht auf der Wurzelebene.",
        "elevator_pitch": "Eine vollständige 365-Tage-Bibelbild-Galerie mit Kalender und ein 14-Stationen-Kreuzweg zur Meditation - alles als reine, offline-fähige HTML-Seiten ohne Server.",
        "target_audience": "Katholische Gemeinden, Andachtsgruppen und Einzelpersonen, die tägliche Bibelbetrachtung oder Kreuzweg-Meditation digital nutzen wollen.",
        "replit_md_path": "HTML-BACKUP\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0074",
        "title": "html-export — Katholisch-KI Plattform (Quantum Spiritual OS)",
        "project": "html-export",
        "category": "Religioes",
        "cluster": "Religioes",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML/CSS/JS",
          "Google Fonts (Orbitron",
          "Merriweather",
          "Cinzel)",
          "Font Awesome"
        ],
        "tags": [
          "katholisch",
          "religion",
          "ki-gebet",
          "beichtspiegel",
          "dogmen",
          "heiligenlexikon",
          "apologetik",
          "ebook-marktplatz"
        ],
        "status": "production-ready",
        "overview": "Ein umfangreicher statischer Export einer katholischen KI-/Spiritualitaets-Plattform (\"Katholisch-KI\"), betrieben unter der Domain `kathbot.replit.app`. Ueber 40 eigenstaendige HTML-Seiten decken einen KI-Gebetsassistenten, ein Beichtspiegel-Tool, ein Priester-Toolkit, ein Heiligenlexikon, einen 245-Dogmen-Katalog, Papst-/Kardinal-Biografien, Kinder-Katechese, Apologetik und einen eBook-Marktplatz ab. Mehrere Seiten existieren doppelt als \"standalone\"-Variante (funktioniert komplett offline/autark ohne externe Assets).",
        "elevator_pitch": "Umfassende katholische KI-Plattform mit über 40 statischen Tools — vom Gebetsgenerator über Beichtspiegel bis zum 245-Dogmen-Katalog.",
        "target_audience": "Katholische Gläubige, Priester/Seelsorger, Bistümer/kirchliche Institutionen, Katecheten und Eltern für die Glaubensbildung ihrer Kinder.",
        "replit_md_path": "html-export\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0075",
        "title": "DVAG Finance Application (Huashaltsbuch)",
        "project": "Huashaltsbuch",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "PostgreSQL",
          "Drizzle",
          "Claude Vision",
          "Mistral Codestral"
        ],
        "tags": [
          "dvag",
          "finance",
          "ocr",
          "budget",
          "ai-code-generator",
          "household-budget",
          "pdf-extraction"
        ],
        "status": "production-ready",
        "overview": "Production-ready DVAG-Finanzanwendung: OCR-/PDF-Transaktionsextraktion, persoenliches Haushaltsbuch, und ein KI-Code-Generator (\"LeCode Buchfuehrungs-Generator\"). Voller React/Express/PostgreSQL-Stack, ergaenzt durch mehrere eigenstaendige HTML-Tools (`DVAG-rechner-corporate.html`, `LeCode.html`, `LeClaude.html`, `LeCHATGPT.html`, `VORSTUER.html`, `tradingplan-ebook.html`).",
        "elevator_pitch": "Ein Finanz-Tool fuer DVAG-Berater: Kontoauszuege per Foto einscannen, automatisch kategorisieren, plus ein KI-Code-Generator gratis dazu.",
        "target_audience": "DVAG-Finanzberater und deren Kunden, kleine Unternehmen mit Buchhaltungsbedarf.",
        "replit_md_path": "Huashaltsbuch\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0076",
        "title": "INDEX-CONTROL — GENITUS-CONTROL v3 Smart Command Center",
        "project": "INDEX-CONTROL",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS/JS",
          "Font Awesome"
        ],
        "tags": [
          "command-center",
          "portal",
          "desktop-ui",
          "navigation-hub",
          "genitus",
          "static"
        ],
        "status": "production-ready",
        "overview": "Statisches, Desktop-OS-artiges \"Command Center\" (Titel: **\"⚙️ GENITUS-CONTROL v3 - Smart Command Center\"**), das als zentraler Navigations-Hub zu Dutzenden Genitus/DOMVS-AVREA-Sub-Apps dient. Nutzt eine iOS-bewusste Taskbar-Metapher (`body.is-ios`-Klasse) und ein dunkles, goldakzentuiertes Sci-Fi-Theme.",
        "elevator_pitch": "Ein Desktop-OS-artiges Command-Center, das Zugang zu ueber 30 Genitus-Sub-Apps aus einer einzigen Oberflaeche bietet.",
        "target_audience": "Interne Nutzer/Partner, die den Ueberblick ueber das breite Genitus/Domvs-Avrea-App-Portfolio brauchen.",
        "replit_md_path": "INDEX-CONTROL\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0077",
        "title": "Trading Analysis Platform (IntraTradeAnalyzer)",
        "project": "IntraTradeAnalyzer-1",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "WebSocket",
          "lightweight-charts",
          "Yahoo Finance API"
        ],
        "tags": [
          "trading",
          "charts",
          "websocket",
          "echtzeit",
          "signale",
          "react",
          "candlestick"
        ],
        "status": "prototype",
        "overview": "Echtzeit-Trading-Analyse-Plattform (React + Express + WebSocket): Live-Aktienkurs-Visualisierung, Trade-Signal-Generierung und Positionsgrößen-Rechner. Interaktive Candlestick-Charts (lightweight-charts) mit Echtzeit-Streaming von Yahoo Finance.",
        "elevator_pitch": "Live-Candlestick-Charts mit automatischer Trade-Signal-Generierung und Positionsgrößen-Rechner, gestreamt in Echtzeit per WebSocket direkt von Yahoo Finance.",
        "target_audience": "Aktive Intraday-Trader, Trading-Communities, als Analyse-Widget für andere Genitus-Trading-Produkte.",
        "replit_md_path": "IntraTradeAnalyzer-1\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0078",
        "title": "Lernapp Gymnasium NRW - Obitron Neural Style (joojo)",
        "project": "joojo",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "Tailwind CSS",
          "Vanilla JS"
        ],
        "tags": [
          "lernapp",
          "quiz",
          "gymnasium",
          "nrw",
          "bildung",
          "cyberpunk",
          "static",
          "verschluesselung"
        ],
        "status": "production-ready",
        "overview": "Deutsche Lernapp mit interaktiven Tests/Quizzes über 8 Hauptfächer für Gymnasiasten in Nordrhein-Westfalen. Futuristisches \"Obitron Neural Style\"-Design, zeitgesteuerte Tests mit automatischer Bewertung, Lernfortschritts-Tracking. 109 vollständige, curriculum-abgestimmte Tests mit vollständiger Bildintegration, laut eigener Doku explizit \"PRODUCTION READY\".",
        "elevator_pitch": "109 fertige, bebilderte Übungstests über 8 NRW-Gymnasialfächer in einem futuristischen Neural-Design — sofort einsatzbereit, mit verschlüsselten Antwortschlüsseln gegen Abschreiben.",
        "target_audience": "NRW-Gymnasiasten (Klasse 5-10) zur Selbstprüfung, Lehrkräfte als Zusatzmaterial, Nachhilfeanbieter als White-Label-Basis.",
        "replit_md_path": "joojo\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0079",
        "title": "Katholisch-KI (kath-ki)",
        "project": "kath-ki",
        "category": "Religioes",
        "cluster": "Religioes",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML/CSS",
          "Bootstrap",
          "Font Awesome"
        ],
        "tags": [
          "catholic",
          "education",
          "ebooks",
          "ai-tools",
          "german",
          "multilingual",
          "static"
        ],
        "status": "production-ready",
        "overview": "Katholische Bildungsplattform (Katholisch-KI), die KI-gestuetzte spirituelle Ressourcen, digitale eBooks und theologische Informationen bereitstellt. Kombiniert traditionellen katholischen Glauben mit moderner Web-Technologie fuer katechetische Bildung — mehrsprachig (primaer Deutsch, Englisch-Support), inkl. Latein-Lernmaterial.",
        "elevator_pitch": "Ein digitales Dashboard fuer katholische KI-Tools, Gebets-/Lehr-Ressourcen und eine 154-Buecher-eBook-Bibliothek — modern gestaltet statt verstaubt.",
        "target_audience": "Katholiken, die digitale Glaubensbildung suchen, Pfarreien/Katecheten als Lehrmaterial-Quelle.",
        "replit_md_path": "kath-ki\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0080",
        "title": "KI-Club - AI Workshops for Children",
        "project": "KI-DZ-Club",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML/CSS/JS",
          "Semantic UI"
        ],
        "tags": [
          "kids",
          "ai-education",
          "workshop",
          "duesseldorf",
          "landing-page",
          "lead-generation"
        ],
        "status": "production-ready",
        "overview": "Deutschsprachige Bildungswebsite fuer KI-Workshops fuer Kinder (6-12 Jahre) in Duesseldorf. Rein statische Multi-Page-Site (kein Framework), rebrandet im November 2025 von \"KI-DZ\" zu \"KI-Club\" (Domain ki-club.net). Workshop: 60 Minuten (45 Min Workshop + 15 Min Elterngespraech), 39€ pro Workshop.",
        "elevator_pitch": "60-Minuten-KI-Workshops fuer Kinder in Duesseldorf, buchbar fuer 39€ — cyberpunk-gestylte Landingpage, die Eltern ueberzeugt.",
        "target_audience": "Eltern mit Kindern 6-12 Jahre in Duesseldorf/Umgebung, Schulen als B2B-Kunden.",
        "replit_md_path": "KI-DZ-Club\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0081",
        "title": "KORRES — FrançaisPro AI-Powered French Learning Application",
        "project": "KORRES",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Vanilla JS ES6",
          "Tailwind CSS",
          "Bootstrap 5",
          "OpenAI GPT"
        ],
        "tags": [
          "language-learning",
          "french",
          "delf",
          "gamification",
          "kids-app",
          "chatbot",
          "multilingual"
        ],
        "status": "production-ready",
        "overview": "KI-gestuetzte Franzoesisch-Lernanwendung fuer DELF-Niveaus (A1-B2) mit Vokabeltraining, KI-Brief-/E-Mail-Generierung, Dialogtraining, Hoerverstaendnis, Uebersetzung und interaktivem Quiz-System. Der Ordner enthaelt zudem mehrere eigenstaendige Zusatz-Apps (LINGUA, Kinder-Lernspiel, Live-Uebersetzung, mehrsprachige eBooks) sowie ein Token-basiertes Login-System.",
        "elevator_pitch": "Eine komplette Franzoesisch-Lern-Suite fuer DELF-Pruefungen, plus ein eigenes Kinder-Lernspiel mit KI-Chat obendrauf.",
        "target_audience": "DELF-Pruefungskandidaten (A1-B2) sowie Eltern mit Kindern (6-8 Jahre) fuer den Kinder-Lernbereich.",
        "replit_md_path": "KORRES\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0082",
        "title": "kostolany — Book/Cover Publishing Workspace",
        "project": "kostolany",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML/CSS",
          "Bootstrap 5",
          "print.css"
        ],
        "tags": [
          "book-publishing",
          "kdp",
          "ebook",
          "print-cover",
          "finance-book",
          "sci-fi-novel",
          "workspace"
        ],
        "status": "production-ready",
        "overview": "Ein KDP- (Kindle Direct Publishing/Print-on-Demand) Buchproduktions-Workspace, keine Web-App. Enthaelt vollstaendigen Text und Cover-Artwork fuer mindestens drei separate Buchprojekte, jeweils als eigenstaendige HTML-Dokumente fuer Vorschau/Druck-Export.",
        "elevator_pitch": "Ein kompletter Print-on-Demand-Publishing-Workspace mit vier fertigen Buchprojekten von Finanz-Sachbuch bis Sci-Fi-Roman - Text, Cover und Druckvorlagen inklusive.",
        "target_audience": "Selfpublishing-Autoren/kleine Verlage, die einen bewaehrten HTML-basierten Workflow fuer KDP-Cover-Iteration und druckfertige Buchinhalte suchen.",
        "replit_md_path": "kostolany\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0083",
        "title": "LANG-CHAIN // LangChain & LangGraph Tool Stack",
        "project": "LANG-CHAIN",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML",
          "CSS",
          "JS",
          "ApexCharts",
          "Three.js",
          "TensorFlow.js",
          "PDF.js",
          "ACE Editor",
          "Pyodide",
          "JSZip"
        ],
        "tags": [
          "langchain",
          "langgraph",
          "react-agent",
          "hmm-regime-detection",
          "ai-ide",
          "gdpr-privacy",
          "quant-trading"
        ],
        "status": "production-ready",
        "overview": "LANG-CHAIN (\"⚡ LANGCHAIN STACK // Master Index\", deployed unter `https://lang-chain.replit.app`) ist eine Sammlung von 15 eigenständigen HTML-Tools, die verschiedene LangChain/LangGraph-Architekturmuster demonstrieren — ReAct-Agenten, HMM-basierte Quant-Trading-Terminals, ein vollwertiges browserbasiertes AI-Code-IDE, ein GDPR-Privacy-Scanner mit TensorFlow.js, sowie diverse Utility-/Creative-Agenten (Reise, Wetter, RPG-NPCs, Exoplaneten-Detektor). Jedes Tool ist als Monolith-HTML dokumentiert und nutzt ausschließlich externe API-Proxies aus dem Genitus/Domvs-Avrea-Ökosystem (`theserver-open-a...",
        "elevator_pitch": "15 eigenständige LangChain/LangGraph-Demo-Tools in einem durchsuchbaren Hub - von ReAct-Agenten über HMM-Quant-Trading-Terminals bis zu einer vollwertigen Browser-KI-IDE.",
        "target_audience": "Entwickler und Interessenten, die konkrete LangChain/LangGraph-Architekturmuster in Aktion sehen wollen (Agenten, RAG, Quant-Strategien, Privacy-Tools), sowie Recruiter/Investoren als technischer Nachweis von KI-Engineering-Fähigkeiten.",
        "replit_md_path": "LANG-CHAIN\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0084",
        "title": "latein-bibiothek — Lingua Latina Nova",
        "project": "latein-bibiothek",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "Vanilla JavaScript",
          "Intersection Observer",
          "Google Fonts Crimson Text",
          "Google Fonts Lora",
          "Python http.server"
        ],
        "tags": [
          "Latein",
          "eLearning",
          "Lingua-Latina",
          "comprehensible-input",
          "eBook",
          "Sprachlernen",
          "Vokabular",
          "klassische-Bildung"
        ],
        "status": "production-ready",
        "overview": "Dreibaendiges Latein-Lehrbuch nach der \"Comprehensible-Input\"-Methodik (inspiriert von \"Lingua Latina per se illustrata\"). **Liber Primus** (`LATINA.html`, 10 Kapitel, Grundstufe), **Liber Secundus** (`LATINA-2.html`, 20 Kapitel XI–XX, fortgeschritten) und **Liber Tertius** (`LATINA-3.html`, 10 Kapitel XXI–XXX, Experten-Niveau mit Dichtung/Rhetorik) plus Begleitmaterial: `VOCABULARIUM.html` (thematischer Wortschatzindex), `CULTURAL_NOTES.html` (roemische Kulturessays) und `index.html` als Portal/Landingpage. Zusaetzlich im Ordner vorhanden, aber nicht Teil der Kern-Trilogie laut Aufgabenstellu...",
        "elevator_pitch": "Latein lernen wie ein Roemer — 40 Kapitel reiner Latein-Text mit Klick-Vokabeln, klassischen Illustrationen und einer durchgehenden Familiengeschichte, ganz ohne Uebersetzung.",
        "target_audience": "Homeschooling-Familien, Lateinlehrer/innen (Gymnasium), Selbstlerner mit klassischem Bildungsinteresse, katholische/kirchliche Bildungseinrichtungen (Latein als Kirchensprache, siehe `CHIESA-LATINA.html`-Schwesterprojekt).",
        "replit_md_path": "latein-bibiothek\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0085",
        "title": "Lead Extraction Tool (LeadHarvester)",
        "project": "LeadHarvester",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Flask",
          "BeautifulSoup",
          "Trafilatura",
          "Bootstrap 5"
        ],
        "tags": [
          "lead-generierung",
          "scraping",
          "flask",
          "kontaktdaten",
          "csv-export",
          "b2b"
        ],
        "status": "production-ready",
        "overview": "Web-basiertes Lead-Generierungs-Tool (Flask): extrahiert Kontaktinformationen (E-Mail, Telefon) von Websites über konfigurierbare Extraktionsmethoden, präsentiert Ergebnisse mit Export-Funktion.",
        "elevator_pitch": "URL rein, E-Mails und Telefonnummern raus — mit drei Extraktionsmethoden inklusive Erkennung obfuskierter Kontaktdaten.",
        "target_audience": "Vertriebsteams/Lead-Generierung, Marketing-Agenturen, als Zulieferer für `SalesSymphony` im selben Ökosystem.",
        "replit_md_path": "LeadHarvester\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0086",
        "title": "Lead Extraction Tool (LeadHarvester)",
        "project": "LeadHarvester (1)",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Flask",
          "BeautifulSoup",
          "Trafilatura"
        ],
        "tags": [
          "lead-generation",
          "web-scraping",
          "contact-extraction",
          "csv-export",
          "flask"
        ],
        "status": "production-ready",
        "overview": "Web-basiertes Lead-Generierungs-Tool (Flask), das Kontaktdaten (E-Mail-Adressen, Telefonnummern) von Websites extrahiert. Nutzer geben URLs ein, das Tool scraped sie mit konfigurierbarer Extraktionsmethode und praesentiert die Ergebnisse mit Export-Funktion.",
        "elevator_pitch": "URLs eingeben, E-Mails und Telefonnummern automatisch extrahieren — fertige Lead-Liste als CSV in Sekunden.",
        "target_audience": "Vertriebsteams, Freelancer/Agenturen fuer Kaltakquise-Listen.",
        "replit_md_path": "LeadHarvester (1)\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0087",
        "title": "Legal-TECH — ORBITRON LEGALTECH",
        "project": "Legal-TECH",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Node.js",
          "statischer Export"
        ],
        "tags": [
          "legal-tech",
          "evidence-review",
          "decision-support",
          "pwa",
          "dual-interface"
        ],
        "status": "production-ready",
        "overview": "Statischer Node.js-Export einer \"ORBITRON LEGALTECH\"-PWA mit zwei bewusst getrennten Verfahrens-Oberflaechen: einem hellen forensischen \"Evidence Lab\" (Pruefterminal) und einem dunklen \"Decision Desk\" (Judge-Terminal). Ausdruecklich als Unterstuetzungswerkzeug positioniert, nicht als autonomes Gericht - menschliche Pruefung vor jeder Fallentscheidung wird explizit gefordert.",
        "elevator_pitch": "Zwei getrennte Rechts-Tools - ein Beweis-Labor und ein Entscheidungs-Schreibtisch - fuer nachvollziehbare, KI-unterstuetzte Falllogik.",
        "target_audience": "Juristen/Kanzleien, die Fallaufbereitung und Entscheidungsvorbereitung strukturieren wollen, mit klarer Trennung von Faktenpruefung und Entscheidungsfindung.",
        "replit_md_path": "Legal-TECH\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0088",
        "title": "Le Marché PWA Export",
        "project": "LeMarche-PWA-Export",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "React via Babel-Standalone",
          "PWA/Service Worker",
          "Stripe"
        ],
        "tags": [
          "pwa",
          "launcher",
          "trading",
          "paywall",
          "genitus",
          "workshell",
          "static",
          "desktop"
        ],
        "status": "production-ready",
        "overview": "Kuratierter, eigenständiger Export der \"Le Marché\"-Trading-App-Suite als installierbare PWA unter der Marke \"Genitus Inc.\". Kombiniert ein client-seitiges Login/Paywall-Gate mit einem Desktop-Launcher (\"Workshell\"), der 17 externe statische Trading/Fintech-Sub-Apps (18 Einstiegspunkte) verlinkt. Bewusst ohne die frühere Trading-Dashboard-/Portfolio-Monitor-Komponente.",
        "elevator_pitch": "Ein installierbarer Desktop-Launcher, der 17 Fintech-Tools (GoldShield, Denarius, Fibonacci-Trader u.a.) hinter einem $20/Monat-Paywall-Login bündelt.",
        "target_audience": "Zahlende Abonnenten des Le-Marché-Trading-Ökosystems; Genitus als Anbieter eines gebündelten Multi-Tool-Abos statt Einzelverkauf.",
        "replit_md_path": "LeMarche-PWA-Export\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0089",
        "title": "LeRAG — Genitus AI Chatbot (RAG)",
        "project": "LeRAG",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS/JS",
          "RAG",
          "OpenAI/Claude/Mistral-Proxy"
        ],
        "tags": [
          "chatbot",
          "rag",
          "embeddings",
          "multi-model",
          "single-page"
        ],
        "status": "production-ready",
        "overview": "Einzelseitige, statische Chat-Oberflaeche (\"Genitus AI Chatbot\") mit echter RAG-Funktionalitaet (Retrieval-Augmented Generation): Embeddings-Erzeugung, Vektor-Query und Multi-Modell-Routing (OpenAI/Claude/Mistral) ueber einen gemeinsamen Proxy. Kleinster und am staerksten fokussierter Chat-Client im Bestand (nur `index.html` + diese Doku).",
        "elevator_pitch": "Ein Single-File-Chatbot mit echtem RAG (Retrieval-Augmented Generation) und Wahl zwischen OpenAI, Claude und Mistral.",
        "target_audience": "Entwickler/interne Nutzer, die eine minimalistische, aber technisch vollstaendige RAG-Chat-Referenzimplementierung brauchen.",
        "replit_md_path": "LeRAG\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0090",
        "title": "LE Watch Root Apps Hub — FUN & PROFIT TRADING OS",
        "project": "LeWATCH",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML",
          "CSS",
          "JS",
          "Bootstrap 5",
          "Font Awesome",
          "Google Fonts"
        ],
        "tags": [
          "trading-hub",
          "iframe-portal",
          "desktop-os-ui",
          "aktiendepot",
          "portfolio-tracker",
          "app-launcher"
        ],
        "status": "prototype",
        "overview": "Statischer, Desktop-OS-artiger Hub für Trading-/Watch-Tools. `index.html` zeigt eine App-Grid-Oberfläche (\"FUN & PROFIT\") mit OS-Erkennung (iOS/macOS/Windows-Klassen), aufklappbaren Kategorien und einem Vollbild-iframe-Fenstersystem. Klick auf eine Kachel öffnet das jeweilige Tool per iframe-Overlay mit Titelleiste, \"In neuem Tab öffnen\"- und Schließen-Button. Die referenzierten Tools sind eigenständige, in sich geschlossene Trading-Dashboards (z.B. ein Aktiendepot-Tracker).",
        "elevator_pitch": "Ein Desktop-OS-artiger App-Launcher für Trading-Tools: Kachel anklicken, Tool öffnet sich im Vollbild-Fenster - inklusive Aktiendepot-Tracker mit Live-Kursen und Portfolio-Chat.",
        "target_audience": "Trader/Anleger, die mehrere Watch-/Trading-Tools zentral über eine einzige, App-artige Oberfläche verwalten wollen.",
        "replit_md_path": "LeWATCH\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0091",
        "title": "Liturgisches Archiv (liturgie-1)",
        "project": "liturgie-1",
        "category": "Religioes",
        "cluster": "Religioes",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "CSS Custom Properties",
          "Google Fonts"
        ],
        "tags": [
          "liturgie",
          "religion",
          "katholisch",
          "orthodox",
          "archiv",
          "static",
          "referenzwerk"
        ],
        "status": "production-ready",
        "overview": "Statische Website als liturgisches Archiv und Index für katholische und orthodoxe liturgische Texte: umfassende Dokumentation und vergleichende Analyse verschiedener liturgischer Riten (Römisch, Byzantinisch, Armenisch, Syrisch, Koptisch, Slawisch). Inhalt primär Deutsch und Latein, Fokus auf eucharistische Gebete (Hochgebete), Altartheologie, liturgische Reformen.",
        "elevator_pitch": "Ein wissenschaftliches Nachschlagewerk, das katholische und orthodoxe Hochgebete/Riten seitengleich vergleicht — von Römisch bis Koptisch.",
        "target_audience": "Theologiestudierende, liturgiewissenschaftlich Interessierte, Priester/Kleriker verschiedener Riten, kirchengeschichtlich Interessierte.",
        "replit_md_path": "liturgie-1\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0092",
        "title": "DOMVS AVREA Trading Terminal — Enterprise-Grade Financial AI Platform",
        "project": "MajorBotInterface",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "React",
          "TypeScript",
          "Tailwind CSS",
          "Express.js",
          "OpenAI GPT-4o",
          "EOD Historical Data API"
        ],
        "tags": [
          "trading-terminal",
          "ai-chat",
          "watchlist",
          "gpt-4o",
          "desktop-os",
          "dvag",
          "domvs-avrea",
          "express"
        ],
        "status": "prototype",
        "overview": "KI-gestütztes Trading-Terminal-Projekt, das in zwei parallelen Ausprägungen vorliegt: (1) `LeTerminl.html`, eine eigenständige, self-contained HTML-Seite mit einer Kommandozeilen-artigen Terminal-Oberfläche, GPT-4o-Chat, Watchlist und Quick-Commands; (2) ein React+TypeScript+Tailwind-Frontend (`client/`) mit Express-Backend (`server/`, In-Memory-Storage), das laut Projektdokumentation ein vollständiges \"Desktop-AI-Betriebssystem\" mit Fenstermanagement, Mobile-Terminal und JS-Editor werden soll. Ziel laut Eigenbeschreibung: ein \"Goldman-Sachs-Niveau\"-Trading-Terminal mit Echtzeit-Marktanalyse u...",
        "elevator_pitch": "Ein KI-gestütztes Trading-Terminal im CLI-Stil, das GPT-4o-Chat, Watchlist und Kurzbefehle in einer einzigen Oberfläche vereint — Vision eines vollwertigen \"Desktop-AI-Betriebssystems\" für DOMVS-AVREA-Trader.",
        "target_audience": "DOMVS-AVREA/Genitus-Kunden und -Berater, die eine KI-gestützte Trading-Oberfläche mit Terminal-Ästhetik nutzen wollen; intern auch als Tech-Demo für die \"Desktop-OS\"-Vision.",
        "replit_md_path": "MajorBotInterface\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0093",
        "title": "LeCode AI Coding Hub",
        "project": "MajorBotInterface-lecode",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "Drizzle ORM",
          "Neon Postgres",
          "iframe-Launcher"
        ],
        "tags": [
          "coding-hub",
          "desktop-ui",
          "launcher",
          "iframe",
          "react",
          "dev-tools",
          "window-manager"
        ],
        "status": "production-ready",
        "overview": "Desktop-artiger Coding-App-Launcher mit Windows-ähnlicher Oberfläche: draggable Windows, Taskbar, Start-Menü, Zugriff auf 9 Coding-/Entwicklungs-Anwendungen via iframe-Integration. War ursprünglich ein Fintech-App-Hub (24-27 Apps), wurde am 19. Juni 2025 komplett zu einem Coding-Hub transformiert.",
        "elevator_pitch": "Ein Windows-artiger Desktop im Browser, der 9 Coding-Tools (KI-Codegenerierung, IDEs, Security-Testing) hinter draggable Fenstern bündelt.",
        "target_audience": "Entwickler-Teams, die mehrere interne Coding-Tools unter einer Oberfläche brauchen; auch als White-Label-Entwickler-Portal.",
        "replit_md_path": "MajorBotInterface-lecode\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0094",
        "title": "DOMVS AVREA Fintech Hub (MajorBotInterface-lemarche)",
        "project": "MajorBotInterface-lemarche",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "Drizzle",
          "Neon PostgreSQL",
          "iframe-integration"
        ],
        "tags": [
          "desktop-launcher",
          "fintech-hub",
          "genitus",
          "iframe",
          "window-manager",
          "app-store"
        ],
        "status": "production-ready",
        "overview": "Desktop-artiger Fintech-App-Launcher im Windows-Stil: draggable Fenster, Taskbar, Start-Menue-Grid mit (laut Changelog zuletzt) 27 eingebetteten Fintech-Apps als iframe-Fenster (Trading-Bots, Analyse-Tools, Finanzdienste). React/Express-Vollversion plus mehrere eigenstaendige Standalone-Varianten (`genitus-desktop-standalone.html`, `genitus-desktop-professional.html`, `finalfintech.html`, `LOGIN.html`).",
        "elevator_pitch": "Ein Windows-artiger Desktop im Browser, der 27 Fintech-Apps als eigene Fenster buendelt — das zentrale Cockpit des Genitus-Oekosystems.",
        "target_audience": "Genitus/DOMVS-AVREA-Nutzer, die mehrere Trading-Tools parallel nutzen wollen.",
        "replit_md_path": "MajorBotInterface-lemarche\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0095",
        "title": "MarketAnalyzer - EXECUTED ORDERBOOK AI",
        "project": "MarketAnalyzer",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4",
          "Vanilla JS",
          "Express.js",
          "TypeScript",
          "EOD Historical Data API"
        ],
        "tags": [
          "orderbook",
          "breakout-trading",
          "market-data",
          "eod-api",
          "express-crud",
          "static-html",
          "neon-dashboard"
        ],
        "status": "prototype",
        "overview": "MarketAnalyzer besteht aus zwei fast unabhängigen Teilen: einem sehr dünnen Express-Backend mit generischem Markt-Daten-CRUD (ohne erkennbaren React-App-Inhalt) und einer eigenständigen, funktional vollständigen statischen Seite `orderbook-ai-standalone.html` (\"EXECUTED ORDERBOOK AI - All Markets\"). Letztere ist der einzige substanzielle Teil des Projekts: ein dunkles Neon-Dashboard, das für 13 Märkte anhand der letzten drei Freitags-Schlusskurse ein einfaches Breakout-System berechnet und \"ausgeführte\" Long/Short-Positionen mit simuliertem Euro-Gewinn listet.",
        "elevator_pitch": "Ein Neon-Dashboard, das für 13 vordefinierte Märkte (DAX, NASDAQ, Krypto, Forex etc.) automatisch \"ausgeführte\" Breakout-Trades auf Basis der letzten drei Freitags-Schlusskurse erkennt und mit simuliertem Gewinn listet.",
        "target_audience": "Retail-Trader, die einen einfachen, visuellen Wochen-Breakout-Screener über mehrere Märkte hinweg suchen, ohne eigene Analyse-Software aufzusetzen.",
        "replit_md_path": "MarketAnalyzer\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0096",
        "title": "MARKOV-TRADING // Markov Stack — Trend Rider & Gambling Suite",
        "project": "MARKOV-TRADING",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS Custom Properties",
          "Vanilla JS",
          "Google Fonts (Orbitron",
          "Fira Code)",
          "EOD Historical Data API"
        ],
        "tags": [
          "markov-chain",
          "trading",
          "gambling",
          "backtesting",
          "sports-betting",
          "crypto",
          "forex",
          "blackjack",
          "roulette",
          "static-html"
        ],
        "status": "prototype",
        "overview": "MARKOV-TRADING ist eine große, gewachsene Sammlung von über 30 eigenständigen HTML-Quant-Tools rund um Markov-Ketten-basierte Handelsmodelle (\"TREND RIDER\" / \"⚡ MARKOV STACK\"), ergänzt um einen Unterordner `MARKOV-LUCKY/` mit 17 weiteren Markov-basierten Glücksspiel-/Wett-Simulatoren (Blackjack, Roulette, Sportwetten). Alle Tools sind unabhängige Single-File-Apps ohne gemeinsamen Server, verlinkt über handgebaute Index-/Hub-Seiten. Das Projekt deckt Aktien/Indizes, Krypto, Forex, Sportwetten und Casino-Spiele ab, inklusive API-Dokumentation und eines eigenen Review-Reports.",
        "elevator_pitch": "Eine riesige Sammlung von über 47 eigenständigen Markov-Ketten-Tools für Trading (Aktien, Krypto, Forex) und Glücksspiel-Simulation (Blackjack, Roulette, Sportwetten) — alles in einem durchsuchbaren Hub.",
        "target_audience": "Quant-interessierte Retail-Trader, Wett-/Glücksspiel-Enthusiasten zum Ausprobieren von Backtesting-Tools, sowie Entwickler, die ein Referenz-Set von Markov-Chain-Implementierungen suchen.",
        "replit_md_path": "MARKOV-TRADING\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0097",
        "title": "GENITUS MCP Hub + Web Claude Code (mcp-server)",
        "project": "mcp-server",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "Node.js",
          "Express",
          "simple-git",
          "OpenAI"
        ],
        "tags": [
          "mcp",
          "developer-tools",
          "web-ide",
          "chat",
          "marketplace",
          "git"
        ],
        "status": "production-ready",
        "overview": "Interaktives Verzeichnis von Model-Context-Protocol(MCP)-Servern mit Live-Connection-Tester, echtem npm-Marketplace, Chat-UI mit Tool-Ausfuehrung, plus einer vollwertigen Web-IDE (\"Web Claude Code\") mit File-Explorer, Editor, Git-Integration und KI-Assistent.",
        "elevator_pitch": "Ein MCP-Server-Verzeichnis mit Live-Test-Funktion PLUS eine komplette Web-IDE mit Git-Integration — zwei Entwickler-Tools in einem Paket.",
        "target_audience": "Entwickler, die MCP-Server erkunden/testen wollen, und Nutzer, die eine leichte Web-basierte Code-Umgebung mit KI-Unterstuetzung brauchen.",
        "replit_md_path": "mcp-server\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0098",
        "title": "MINDSTAR // CODEBREAKER ULTIMATE",
        "project": "MINDSTAR",
        "category": "Games",
        "cluster": "Games",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "Vanilla HTML/CSS/JS",
          "Node.js Static Server"
        ],
        "tags": [
          "mastermind",
          "spiel",
          "minimax",
          "ki-solver",
          "single-page",
          "static",
          "logikspiel"
        ],
        "status": "production-ready",
        "overview": "Browser-basiertes Mastermind-Logikspiel: vier Modi (VS AI, PvP, Numbers-Variante, AI Solver), Minimax-basierte KI löst jeden Code in wenigen Zügen. Single-File-HTML/CSS/JS (`mindstar.html`), `index.html` als Redirect-Stub.",
        "elevator_pitch": "Mastermind neu gedacht: vier Spielmodi inklusive einer Minimax-KI, die jeden Code in wenigen Zügen knackt — als AI-Solver oder Gegner.",
        "target_audience": "Casual-Gamer, Logikspiel-Fans, als Kachel im `games`-Portal des Genitus-Ökosystems.",
        "replit_md_path": "MINDSTAR\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0099",
        "title": "L'ALGO NEURAL — ML Trading & Macro Intelligence",
        "project": "ML-Predictin",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Node.js",
          "Express",
          "TensorFlow.js",
          "World Bank/IMF/FRED APIs"
        ],
        "tags": [
          "lstm",
          "machine-learning",
          "trading",
          "macro-economics",
          "tensorflow",
          "prediction"
        ],
        "status": "production-ready",
        "overview": "Full-Stack Node.js/Express-App mit TensorFlow.js-LSTM-Netzwerk, das echte Markt-Kursdaten (Aktien/Krypto/Forex) laedt, ein LSTM live trainiert und die naechste Trendrichtung (UP/DOWN/NEUTRAL) mit Confidence-Score vorhersagt — ausgegeben auf einem cyberpunk-gestylten Dashboard. Zweites Dashboard \"L'ALGO MACRO\" macht dasselbe fuer Makro-Indikatoren (BIP, Inflation, Arbeitslosigkeit u.a.) aus World Bank/IMF/FRED-Daten inkl. Prognosen bis 2031.",
        "elevator_pitch": "KI sagt die naechste Kursrichtung voraus — trainiert live im Browser-Backend auf echten Markt- und Weltwirtschaftsdaten.",
        "target_audience": "Trading-Enthusiasten, Fintech-Demo-Zwecke, Bildungszwecke fuer ML-in-Finance.",
        "replit_md_path": "ML-Predictin\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0100",
        "title": "Python IDE (ModernCoder)",
        "project": "ModernCoder",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "WebSocket",
          "Monaco Editor",
          "Mistral Codestral"
        ],
        "tags": [
          "ide",
          "python",
          "code-execution",
          "monaco",
          "ai-assistant",
          "websocket",
          "terminal"
        ],
        "status": "production-ready",
        "overview": "Modernes, VS-Code-artiges Python-IDE als Full-Stack-Web-App: React-Frontend mit Monaco-Editor, Express-Backend mit WebSocket-basierter Echtzeit-Code-Ausfuehrung, Datei-Explorer, Terminal und integriertem Mistral-Codestral-KI-Assistenten. Laut eigenem Status \"voll funktionsfaehig\".",
        "elevator_pitch": "Eine VS-Code-artige Python-IDE direkt im Browser, mit eingebautem KI-Coding-Assistenten — kein lokales Setup noetig.",
        "target_audience": "Programmieranfaenger, Lehrende, Entwickler die schnell ohne lokale Umgebung Python testen wollen.",
        "replit_md_path": "ModernCoder\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0101",
        "title": "MOURINHO — Football Academy Pro / SFD '75",
        "project": "MOURINHO",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS",
          "Bootstrap 5",
          "Chart.js",
          "Python http.server"
        ],
        "tags": [
          "sports-academy",
          "static-site",
          "ebook",
          "football",
          "basketball",
          "youth-sports"
        ],
        "status": "production-ready",
        "overview": "Statische Multi-Page-Website fuer die Jugend-Fussball-/Basketball-Akademie \"SFD '75\", gebrandet als \"Football Academy Pro - Mourinho Method\". Kombiniert ein Trainings-/Akademie-Dashboard mit Werbe- und Bildungsinhalten (Fussball-Tricks-eBook auf Deutsch und Englisch, Basketball-Tricks, Sportprogramm-Uebersicht, Vereinsinfo), verbunden ueber einen Apps-Index.",
        "elevator_pitch": "Eine komplette Web-Praesenz fuer eine Jugend-Sportakademie - Dashboard, eBooks und Vereinsinfo in einem Auftritt.",
        "target_audience": "Eltern/Jugendliche der Fussball-/Basketball-Akademie \"SFD '75\" sowie Interessenten der Mourinho-Trainingsmethode.",
        "replit_md_path": "MOURINHO\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0102",
        "title": "NACHHILFE — Sprachgrammatik- & Formel-Bibliothek",
        "project": "NACHHILFE",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS/JS",
          "static"
        ],
        "tags": [
          "tutoring",
          "grammar",
          "formulas",
          "multilingual",
          "education",
          "static"
        ],
        "status": "production-ready",
        "overview": "Statische Nachhilfe-/Lernbibliothek mit Kern-Fokus auf Sprachgrammatik (5 Sprachen) und einer umfangreichen Formelsammlung, unter `NACHHILFE-EXPORT/`. Zusaetzlich existiert ein detaillierter Ausbauplan fuer einen neuen Grundschul-Bereich (Klassen 1-4), der aktuell nur als Plan/Prototypen vorliegt, nicht als fertige Seiten.",
        "elevator_pitch": "Eine 5-Sprachen-Grammatik- und Formelbibliothek fuer den Nachhilfeunterricht - mit einem durchdachten Plan fuer eine Grundschul-Erweiterung.",
        "target_audience": "Nachhilfelehrer/Schueler in Deutsch/Englisch/Franzoesisch/Latein/Spanisch sowie (kuenftig) Grundschulkinder samt Eltern.",
        "replit_md_path": "NACHHILFE\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0103",
        "title": "NEURAL-PORTFOLIO // AI-Signal Portfolio Dashboard Suite",
        "project": "NEURAL-PORTFOLIO",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML5",
          "CSS Custom Properties",
          "Vanilla JS",
          "Orbitron Font",
          "GPT-4o-mini",
          "EOD Historical Data API via Proxy"
        ],
        "tags": [
          "portfolio-tracking",
          "ai-signals",
          "gpt-4o-mini",
          "dashboard",
          "sector-allocation",
          "csv-export",
          "genussschein",
          "domvs-avrea"
        ],
        "status": "production-ready",
        "overview": "NEURAL-PORTFOLIO (deployed unter `https://neural-portfolio.replit.app`) ist eine kleine, fokussierte Suite aus vier zusammenhängenden Dashboards für Portfolio-Tracking mit KI-Signalen: eine Hauptportfolio-Ansicht mit GPT-4o-mini-gestützten Kauf/Verkauf-Signalen, ein Fund-Landingpage-Überblick, ein detaillierter Fund-Tracker sowie ein Genussschein-Tracker im Domvs-Avrea-Branding. Alle vier Seiten teilen dieselbe Neon-Navigation und sind über absolute URLs (nicht relative Links) miteinander verknüpft.",
        "elevator_pitch": "Eine schlanke Suite aus vier vernetzten Dashboards, die Portfolio-Positionen mit GPT-4o-mini-Kauf/Verkaufssignalen, Trailing-Stops und Sektor-Allokation in einem eleganten Neon-Interface zusammenführt.",
        "target_audience": "Privatanleger und DOMVS-AVREA-Kunden, die ihr Portfolio mit KI-Unterstützung überwachen und Genussschein-/Fund-Investments verfolgen wollen.",
        "replit_md_path": "NEURAL-PORTFOLIO\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0104",
        "title": "NEURAL Trading Apps — Genitus Finanz-Terminal-Sammlung",
        "project": "NEURAL-TRADING-APPS",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "Python (PYTHON-FINTECH/api_server.py)",
          "EOD/Makro-APIs"
        ],
        "tags": [
          "trading",
          "terminal",
          "sammlung",
          "neural",
          "makro",
          "zentralbank",
          "genitus",
          "static"
        ],
        "status": "production-ready",
        "overview": "Eine sehr umfangreiche Sammlung von rund 38 eigenständigen Finanz-Terminal-Tools und Sub-Sammlungen unter dem \"NEURAL\"-Cyberpunk-Branding (Genitus-Ökosystem). Enthält Asset-Manager-Terminals, Makro-/Zentralbank-Tools, ein eigenes Python-API-Backend, eine große `trading/`-Unterordner-Sammlung sowie thematisch abweichende Sub-Sammlungen (\"DUDE BANK\", \"BROWSER-API\"). **Hinweis**: Die vorherige replit.md dieses Ordners beschrieb nachweislich (per Byte-Vergleich identisch) ein komplett anderes, fachfremdes Projekt (\"Cum-Ex & Cum-Cum Educational Guide\"). Diese Version ersetzt die fehlerhafte Datei.",
        "elevator_pitch": "38 spezialisierte Finanz-Terminals — von Asset-Manager-Dashboards bis Zentralbank-Makrodaten — plus eigenem Python-Backend, alles unter einem NEURAL-Branding.",
        "target_audience": "Fortgeschrittene Trader/Analysten mit Bedarf an Nischen-Terminals (ETF, Bonds, Makro); intern als Baukasten für neue Genitus-Trading-Produkte.",
        "replit_md_path": "NEURAL-TRADING-APPS\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0105",
        "title": "GENITUS Watchlist Hub (Nice-Watchliste)",
        "project": "Nice-Watchliste",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "Static HTML",
          "EOD API"
        ],
        "tags": [
          "watchlist",
          "dividends",
          "eod-api",
          "genitus",
          "markets",
          "static"
        ],
        "status": "prototype",
        "overview": "Statischer, englischsprachiger Watchlist-Hub fuer EOD-basierte Marktbeobachtung. Die Dividenden-Tools nutzen einen verifizierten EOD-Proxy fuer Echtzeitkurse, historische Tagesschlusskurse und Dividendenhistorie. Bewusster Grundsatz: keine Erfindung von Kennzahlen (Earnings, Fundamentaldaten, Payout Ratios), wenn Upstream-Daten fehlen.",
        "elevator_pitch": "Eine ehrliche Dividenden-Watchlist, die nur zeigt, was echte Marktdaten hergeben — keine erfundenen Kennzahlen, keine falschen Versprechen.",
        "target_audience": "Dividenden-orientierte Privatanleger, Genitus-Nutzer die Transparenz ueber Datenqualitaet schaetzen.",
        "replit_md_path": "Nice-Watchliste\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0106",
        "title": "AI Office Suite — Standalone Produktivitäts-Suite (7 Module)",
        "project": "OFFICE-FREE",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Ace Editor",
          "React",
          "TypeScript",
          "Vite",
          "Tailwind CSS",
          "shadcn/ui",
          "Express.js",
          "localStorage"
        ],
        "tags": [
          "productivity-suite",
          "word-processor",
          "spreadsheet",
          "expense-tracker",
          "balance-sheet",
          "diary",
          "offline-first",
          "localstorage"
        ],
        "status": "production-ready",
        "overview": "AI Office Suite ist eine clientseitige Produktivitäts-Suite mit sieben Modulen (Word Processor, Spreadsheet/AI TABLEAU, HTML Editor, Notes & Tasks, Expense Tracker, Balance Sheet, Personal Diary), die komplett über Tab-Navigation in einer einzigen Seite läuft. Alle Daten werden ausschließlich im Browser gehalten (localStorage/IndexedDB) — es gibt keine Server-Persistenz, keinen Login, keine Datenbank. Das Projekt existiert in mehreren Ausbaustufen: eine React+Express-Version (`client/`, `server/`) sowie mehrere vollständig eigenständige Single-File-HTML-Editionen (`FINAL.html`, `AXEL-FREE.html...",
        "elevator_pitch": "Eine komplette 7-Module-Büro-Suite (Textverarbeitung, Tabellenkalkulation, HTML-Editor, Notizen, Ausgaben, Bilanz, Tagebuch), die zu 100 % im Browser läuft — kein Server, kein Login, keine Cloud nötig.",
        "target_audience": "Privatanwender, Kleinunternehmer und Freiberufler, die eine kostenlose, datenschutzfreundliche Office-Alternative ohne Cloud-Abo suchen, sowie GmbH-Buchhalter für die integrierte Bilanz-Funktion.",
        "replit_md_path": "OFFICE-FREE\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0107",
        "title": "openBB — OpenBB Terminal Proxy Platform",
        "project": "openBB",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "FastAPI",
          "Python",
          "OpenBB",
          "yfinance",
          "HTML/CSS/JS"
        ],
        "tags": [
          "trading-terminal",
          "api-proxy",
          "fundamental-analysis",
          "fastapi",
          "openbb",
          "live-deployment"
        ],
        "status": "production-ready",
        "overview": "Live deployte Fintech-Terminal-Plattform (`https://open-bb.replit.app`), bestehend aus einem FastAPI-Backend, das Finanzdaten ueber OpenBB/yfinance proxied (nativ und Yahoo-Finance-kompatibel), plus mehreren umfangreichen Frontend-Terminals (Fundamentalanalyse, Money-Manager, Neural Cockpit, Prop-Trader, TradingView-Integration).",
        "elevator_pitch": "Ein selbst gehostetes OpenBB-Terminal mit dokumentierter, key-freier API und mehreren fertigen Trading-Dashboards - live und produktiv nutzbar.",
        "target_audience": "Entwickler/Trader, die eine eigene, kostenlose Finanzdaten-API ohne Rate-Limit-Aerger mit Drittanbietern wollen, sowie Endnutzer der fertigen Terminal-Dashboards (Fundamentalanalyse, Prop-Trading).",
        "replit_md_path": "openBB\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0108",
        "title": "VectorSearch Library (OPEN-SEARCH)",
        "project": "OPEN-SEARCH",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "FastAPI",
          "sentence-transformers",
          "Transformers.js",
          "uvicorn"
        ],
        "tags": [
          "semantische-suche",
          "rag",
          "embeddings",
          "chat",
          "fastapi",
          "dokumentensuche",
          "ki"
        ],
        "status": "production-ready",
        "overview": "Semantische Suchmaschine und Dokumentenbibliothek mit lokalen Vektor-Embeddings — kein LLM/externe API zwingend nötig für die Kernsuche. Zwei Oberflächen: die leichte Haupt-VectorSearch-UI und \"megaRAG\", eine dunkle RAG-Chat-Powerhouse-App.",
        "elevator_pitch": "Eine semantische Such- und RAG-Chat-Engine, die komplett offline mit lokalen Embeddings laufen kann — keine Pflicht-API, kein Vendor-Lock-in.",
        "target_audience": "Teams mit internen Wissensdatenbanken, Entwickler, die RAG ohne Cloud-Abhängigkeit brauchen; passt ideal als Such-Layer über `deepresearch`.",
        "replit_md_path": "OPEN-SEARCH\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0109",
        "title": "Orbitron Desktop PWA (ORBITRON-BROTHERS)",
        "project": "ORBITRON-BROTHERS",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "Static HTML/CSS/JS",
          "Service Worker",
          "PWA Manifest"
        ],
        "tags": [
          "pwa",
          "desktop-shell",
          "installable",
          "orbitron",
          "offline",
          "fintech-portal"
        ],
        "status": "production-ready",
        "overview": "Statische, installierbare PWA \"Orbitron Desktop\", ausgeliefert aus `FINAL-WINDOWS/` (Entry-Point `FINAL-WINDOWS/index.html`). Der \"Overhead\"-Hub enthaelt lokale Stack-Tabs, OS/IDE-Eintraege, ein responsives Mobile-Layout und browserspezifische PWA-Installationsanleitungen. Zusaetzlich im Ordner: `globalfintech.html` (\"Orbitron Markets — GENITUS\", eigenstaendige Fintech-Portal-Seite) und ein eingebettetes `bluehost-stack-catalog`-Verzeichnis.",
        "elevator_pitch": "Der gesamte Orbitron/Genitus-Werkzeugkasten als installierbare App-artige PWA — ein Icon auf dem Homescreen statt zig Lesezeichen.",
        "target_audience": "Power-User des Genitus/DOMVS-AVREA-Oekosystems, die haeufig zwischen mehreren Tools wechseln.",
        "replit_md_path": "ORBITRON-BROTHERS\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0110",
        "title": "ORBITRON-BROTHERS (Archiv)",
        "project": "ORBITRON-BROTHERS-archiv-20260806-a",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "F",
        "tech_stack": [
          "HTML5",
          "PWA",
          "Service Worker",
          "Tailwind CSS",
          "Orbitron Font"
        ],
        "tags": [
          "pwa",
          "service-worker",
          "desktop-hub",
          "orbitron",
          "archived",
          "installable",
          "neon"
        ],
        "status": "archiv-duplikat",
        "overview": "",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "ORBITRON-BROTHERS-archiv-20260806-a\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0111",
        "title": "orbitron-maps — Ultimate Guide: Reiseführer, Karten & Weltraum-Tools",
        "project": "orbitron-maps",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "Vanilla JavaScript",
          "Font Awesome 6",
          "Google Fonts Orbitron",
          "Google Fonts Inter",
          "iframe-Dashboard-Architektur",
          "Mapbox",
          "OpenStreetMap",
          "OSRM"
        ],
        "tags": [
          "Reisefuehrer",
          "Karten",
          "Weltraum",
          "Dashboard",
          "iframe-hub",
          "Pilgerreise",
          "Trip-Planner",
          "Multi-App-Sammlung",
          "Travel"
        ],
        "status": "production-ready",
        "overview": "**WICHTIGER KORREKTURHINWEIS**: Die bisherige `replit.md` (Wurzel-Ordner) behauptete faelschlich \"Blank Project — Hello World mit reinem HTML/CSS/JS, keine externen Abhaengigkeiten\". Das ist **nachweislich falsch**: Der Unterordner `orbitron-maps/orbitron-maps/GUIDE-EXPORT/` enthaelt ein vollstaendiges, produktionsreifes Dashboard-System mit **60+ HTML-Dateien** und mehreren hundert KB echtem Content — 36 regionale Reisefuehrer, Weltraum-Tools, ein semantischer Suchindex ueber 701 Orte, ein Roadtrip-/Trip-Planner mit OSRM-Routing und ein persoenliches Bilder-Tagebuch. `GUIDE-EXPORT/index.html`...",
        "elevator_pitch": "Ein einziges Dashboard fuer 36 komplette Reisefuehrer, Weltraum-Tracking-Tools und einen KI-durchsuchbaren Index von 701 Orten — von Kroatien-Roadtrip bis ISS-Live-Tracker.",
        "target_audience": "Vielreisende/Reiseblogger als persoenliches Wissensarchiv, Reiseagenturen als White-Label-Guide-System, Pilger-/Glaubenstourismus-Zielgruppe (eigene Kategorie \"Pilger & Glaube\"), Weltraum-/Space-Enthusiasten (eigener \"Space Index\"-Mini-Hub).",
        "replit_md_path": "orbitron-maps\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0112",
        "title": "ORBITRON OS",
        "project": "ORBITRON-OS",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "Static HTML",
          "Vanilla JS",
          "iframe-Navigation"
        ],
        "tags": [
          "portal",
          "desktop-ui",
          "orbitron",
          "launcher",
          "iframe",
          "static",
          "neural"
        ],
        "status": "production-ready",
        "overview": "Statischer, responsiver \"Neural Workspace\" — Katalog-Shell (`index.html`) mit lokalen Orbitron-Modulen (`0-ORBITRON-OS/`), Module öffnen über interne iframe-Tabs statt Standalone-Navigation. Zusätzlich `ORBITRON-DESKTOP.html`: eine Windows/macOS-inspirierte responsive Desktop-Shell mit maximiertem kategorisiertem Explorer, Modul-Verknüpfungen und draggable internen Fenstern für bestehende Modul-URLs.",
        "elevator_pitch": "Das zentrale Orbitron-Portal — ein Neural-Workspace-Desktop, der alle Orbitron-Module hinter iframe-Tabs oder draggable Fenstern bündelt.",
        "target_audience": "Interne Nutzer des Orbitron/Genitus-Ökosystems als zentraler Einstiegspunkt zu allen Modulen.",
        "replit_md_path": "ORBITRON-OS\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0113",
        "title": "PerplexityMaster (Perplexity Matrix)",
        "project": "PerplexityMaster",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "Node.js",
          "Express",
          "Perplexity API"
        ],
        "tags": [
          "ai-search",
          "chatbot",
          "matrix-theme",
          "perplexity",
          "upload-stub"
        ],
        "status": "prototype",
        "overview": "KI-Such-/Chat-Interface im Matrix-Look (Gruen-auf-Schwarz-Terminal-Aesthetik), das Anfragen serverseitig an die Perplexity-AI-API weiterleiten soll (Key bleibt so vom Client fern). Express-Backend mit teilweise implementierter API; Upload-Endpunkt laut eigenem Code-Kommentar nur ein Stub.",
        "elevator_pitch": "Ein Matrix-gestyltes KI-Such-Interface, das Fragen server-seitig an Perplexity AI weiterreicht — Hacker-Aesthetik trifft echte Web-Suche.",
        "target_audience": "Tech-affine Nutzer, die eine alternative, stilisierte Perplexity-Oberflaeche wollen; Demo-Zwecke fuer KI-Suchintegration.",
        "replit_md_path": "PerplexityMaster\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0114",
        "title": "DVAG Sales Script - Corporate Level (powerSLIDES)",
        "project": "powerSLIDES",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Vanilla JS ES6 Modules",
          "MediaRecorder API",
          "OpenAI/Mistral via Proxy"
        ],
        "tags": [
          "praesentation",
          "dvag",
          "slides",
          "ai-generator",
          "screen-recording",
          "coaching",
          "static"
        ],
        "status": "production-ready",
        "overview": "Deutschsprachige Sales-Präsentationsanwendung für DVAG (Deutsche Vermögensberatung), konzipiert für Corporate-Training/Coaching. Interaktives, folienbasiertes Präsentationssystem mit synchronisierter Audiowiedergabe, Auto-Play und umfassenden Navigationssteuerungen. Von einer monolithischen 2000+-Zeilen-Datei zu einer modularen Architektur (9 Manager-Klassen) refaktoriert.",
        "elevator_pitch": "Ein modulares Präsentationssystem für DVAG-Coaching mit Audio-Sync, KI-Foliengenerator und integrierter Bildschirmaufnahme — alles ohne Framework, reines Vanilla JS.",
        "target_audience": "DVAG-Trainer/Coaches, die Präsentationen für Berater-Schulungen erstellen und aufzeichnen; Vertriebsleitung für Content-Standardisierung.",
        "replit_md_path": "powerSLIDES\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0115",
        "title": "pwa-history — Bibliotheken Hub (installierbare PWA)",
        "project": "pwa-history",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS/JS",
          "PWA",
          "Service Worker",
          "Bootstrap 5"
        ],
        "tags": [
          "pwa",
          "education-hub",
          "history",
          "latin",
          "tutoring",
          "service-worker",
          "multi-library"
        ],
        "status": "production-ready",
        "overview": "Installierbare PWA (\"Bibliotheken Hub\"), die drei unabhaengige Bildungs-Content-Bibliotheken unter einem Dach vereint: eine Geschichts-/Boersenhistorie-Bibliothek mit echtem Service-Worker-Support, eine Kirchenlatein-Lernplattform und eine Nachhilfe-Bibliothek (Englisch/Franzoesisch/Latein).",
        "elevator_pitch": "Eine installierbare PWA, die drei komplette Bildungsbibliotheken - Geschichte, Kirchenlatein, Nachhilfe - offline-faehig auf jedes Geraet bringt.",
        "target_audience": "Lernende und Lehrkraefte im Bereich Geschichte/Finanzgeschichte, Kirchenlatein (kirchliche Ausbildung/Theologiestudium) und klassische Schulfaecher-Nachhilfe (Englisch, Franzoesisch DELF, Latein).",
        "replit_md_path": "pwa-history\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0116",
        "title": "QuantumCalculator — Terminal-Style Advanced Calculator",
        "project": "QuantumCalculator",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "Python SymPy/NumPy/SciPy",
          "PostgreSQL"
        ],
        "tags": [
          "calculator",
          "terminal-ui",
          "symbolic-math",
          "graphing",
          "api"
        ],
        "status": "production-ready",
        "overview": "Full-Stack-Rechner-Anwendung mit Terminal-Aesthetik fuer fortgeschrittene mathematische Berechnungen. React-Frontend + Express-Backend, Python-Mathe-Engine (SymPy/NumPy/SciPy) fuer symbolische Mathematik. Live produktiv unter `https://genitus-texas.replit.app` mit externer API (`/api/calc`) fuer Discord/Telegram/WordPress-Integration.",
        "elevator_pitch": "Ein Terminal-Style-Rechner mit echter symbolischer Mathematik (SymPy) und Wolfram-artigen Graphen, live als API nutzbar.",
        "target_audience": "Studenten/Entwickler, die fortgeschrittene Mathe brauchen, sowie Discord/Telegram/WordPress-Bot-Betreiber, die die externe API einbinden wollen.",
        "replit_md_path": "QuantumCalculator\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0117",
        "title": "DVAG Lern- und Trainings-Simulator",
        "project": "quizDVAG",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "Vanilla JavaScript",
          "TailwindCSS (CDN)",
          "Google Fonts (Orbitron)",
          "JSON"
        ],
        "tags": [
          "dvag",
          "gewo-lizenz",
          "quiz",
          "pruefungsvorbereitung",
          "lernsimulator",
          "34d",
          "34f",
          "34i"
        ],
        "status": "prototype",
        "overview": "Eine clientseitige Single-Page-Lernplattform (Quiz-Simulator) fuer angehende und aktive DVAG-Finanzberater, mit der Fachwissen fuer alle fuenf deutschen Gewerbeordnungs-Lizenzen (§34d/f/i/c/h GewO) trainiert werden kann. Die App praesentiert Multiple-Choice-Fragen mit Fisher-Yates-Shuffle der Antwortoptionen, Live-Score-Tracking, Kategorie-Filterung und eine ausfuehrliche Ergebnisauswertung inkl. \"Fehler wiederholen\"-Funktion. Reines Frontend (Vanilla JS + TailwindCSS-CDN), kein Backend zur Laufzeit. Branding: \"Powered by Genitus Inc.\" / Daniel Gereci, eingebettet ins DOMVS-AVREA-Markenoekosys...",
        "elevator_pitch": "Interaktiver Lern-Simulator für alle 5 deutschen GewO-Lizenzprüfungen (§34d/f/i/c/h) mit 592 Fragen, Live-Score und Kategorie-Training.",
        "target_audience": "Angehende und aktive DVAG-Finanzberater, die sich auf die IHK-Sachkundeprüfung vorbereiten.",
        "replit_md_path": "quizDVAG\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0118",
        "title": "QuoteHunter - BetOdds Pro",
        "project": "QuoteHunter",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS (CDN)",
          "React",
          "Vite",
          "Express.js",
          "TypeScript",
          "RapidAPI Odds API",
          "Mistral AI Codestral"
        ],
        "tags": [
          "sports-betting",
          "odds-comparison",
          "ai-analysis",
          "mistral-ai",
          "value-bets",
          "rapidapi",
          "demo-data"
        ],
        "status": "prototype",
        "overview": "BetOdds Pro ist eine KI-gestützte Sportwetten-Quoten-App. Sie ruft Live-Quoten über die RapidAPI-basierte \"The Odds API\" ab, deckt mehrere Sportarten (MLB, Tennis/ATP-WTA, Fußball, MLS, Boxen u.a.) und mehrere Buchmacher ab, und lässt eine KI (Mistral AI, Modell `codestral-latest`) Quoten auf \"Value Bets\" bewerten. Für Sportarten ohne freien API-Zugang generiert der Server plausible Demo-Quoten. Es existieren zwei nahezu identische Frontends: die React/Vite-App und die eigenständige Tailwind-CDN-Version `FINAL.html`.",
        "elevator_pitch": "BetOdds Pro ist eine KI-gestützte Sportwetten-App, die Live-Quoten mehrerer Buchmacher vergleicht und mittels Mistral-KI \"Value Bets\" mit Konfidenz-Score identifiziert.",
        "target_audience": "Sportwetten-Enthusiasten und Value-Betting-affine Nutzer, die eine mobile-optimierte Quoten-Übersicht mit KI-Einschätzung suchen.",
        "replit_md_path": "QuoteHunter\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0119",
        "title": "Neural Streaming Platform (Radio)",
        "project": "Radio",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "Static HTML/CSS/JS",
          "Tailwind",
          "RadioBrowser API",
          "iTunes API",
          "IPTV M3U"
        ],
        "tags": [
          "radio",
          "podcasts",
          "tv",
          "streaming",
          "youtube",
          "static",
          "no-backend",
          "media"
        ],
        "status": "production-ready",
        "overview": "Eine 4-App Neural-Streaming-Plattform (Radio, Podcasts, TV, YouTube) mit modernem Orbitron-Typo, Cyan/Purple-Glow und Glassmorphism-UI. Alle Apps sind reines Client-Side-HTML ohne Backend — \"Zero backend required\" ist explizit dokumentiert. Laut eigenem Status \"✅ Complete & Production-Ready\".",
        "elevator_pitch": "Radio, Podcasts, Live-TV und YouTube in einer einzigen, werbefreien, komplett kostenlosen Streaming-Oberflaeche — ganz ohne eigenen Server.",
        "target_audience": "Medien-Konsumenten, die eine schnelle, aufgeraeumte Alternative zu Spotify/Radio-Apps wollen; Entwickler als Referenz fuer \"Zero-Backend\"-Architektur.",
        "replit_md_path": "Radio\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0120",
        "title": "RandomStockTrader — Random Stock Analysis (Coin Toss Trading)",
        "project": "RandomStockTrader",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Python",
          "Streamlit",
          "yfinance",
          "Plotly"
        ],
        "tags": [
          "anti-bias",
          "coin-toss",
          "backtesting",
          "streamlit",
          "trading-psychology"
        ],
        "status": "production-ready",
        "overview": "Streamlit-basiertes \"Anti-Bias\"-Trading-System, das per reinem Zufall (Coin-Toss-Methodik) LONG/SHORT-Handelsempfehlungen generiert, um psychologische Verzerrungen und emotionale Entscheidungen zu vermeiden. Enthaelt echte Marktdatenanbindung und ein Backtesting-Modul zur Bewertung der Zufallsstrategie ueber historische Daten.",
        "elevator_pitch": "Ein Trading-Tool, das bewusst NICHT versucht klueger als der Markt zu sein - reiner Zufall gegen deinen eigenen Bias, mit Backtest-Beweis.",
        "target_audience": "Trader, die ihre eigene emotionale/verzerrte Entscheidungsfindung hinterfragen wollen, sowie Trading-Psychologie-Lehrende.",
        "replit_md_path": "RandomStockTrader\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0121",
        "title": "ResponsiveCacheHandler - Stock Analysis Chatbot / GENITUS Watchlist Tool",
        "project": "ResponsiveCacheHandler",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Python",
          "Flask",
          "jQuery",
          "Bootstrap",
          "Lightweight Charts",
          "Chart.js",
          "HTML5",
          "Vanilla JS"
        ],
        "tags": [
          "stock-analysis",
          "candlestick-chart",
          "watchlist",
          "flask",
          "genitus",
          "golden-cross",
          "multi-country",
          "proxy-api"
        ],
        "status": "prototype",
        "overview": "Eine Flask-Anwendung zur Aktienanalyse mit Candlestick-Charts und einfacher Symbol-Eingabe. Neben der Haupt-Flask-App gibt es zwei eigenständige HTML-Erweiterungen desselben Ökosystems: `BIG_WATCH.html` (\"GENITUS INTERNATIONAL MARKETS\") — eine große, mehrsprachige Multi-Symbol-Watchlist mit Chart-Modal — und eine per Export-Route erzeugbare Offline-Standalone-Version. Das Projekt gehört sichtbar zum \"GENITUS\"/\"DOMVS AVREA O.P.N\"-Marken-Ökosystem des Nutzers (vgl. StockGptIntelligence, dessen `watchlist.htm` identisches Design-System teilt).",
        "elevator_pitch": "Ein Aktienanalyse-Chatbot mit Candlestick-Charts (Flask-App) plus eine große mehrsprachige \"GENITUS International Markets\"-Watchlist über 7+ Länder und hunderte Symbole mit Golden-Cross-Signalanalyse.",
        "target_audience": "Genitus/DOMVS-AVREA-Kunden und internationale Anleger, die eine länderübergreifende Watchlist mit technischer Signalanalyse (SMA/Golden Cross) suchen.",
        "replit_md_path": "ResponsiveCacheHandler\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0122",
        "title": "Der Heilige Rosenkranz — Bildgebetnis",
        "project": "ROSENKRANZ",
        "category": "Religioes",
        "cluster": "Religioes",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML"
        ],
        "tags": [
          "rosenkranz",
          "gebet",
          "religion",
          "katholisch",
          "static",
          "andacht",
          "bildgebetnis"
        ],
        "status": "production-ready",
        "overview": "Eine einzelne statische Seite zum Heiligen Rosenkranz-Gebet (\"Bildgebetnis\" — bildgestützte Gebetsanleitung), 594 Zeilen HTML. Kein Backend, kein Framework. **Hinweis**: Die vorherige replit.md-Datei in diesem Ordner beschrieb fälschlich ein komplett anderes Projekt (\"Cum-Ex & Cum-Cum Educational Guide\" — ein Steuerthema-Guide, nachweislich per Byte-Vergleich identisch mit der falsch zugeordneten Datei in mehreren anderen Projektordnern). Diese Version ersetzt die fehlerhafte Datei und beschreibt den tatsächlichen Ordnerinhalt.",
        "elevator_pitch": "Eine bildgestützte, digitale Anleitung zum Rosenkranzgebet — die klassische Andacht in modernem, zugänglichem Webformat.",
        "target_audience": "Katholische Gläubige, Katechese/Erstkommunion-Vorbereitung, Gemeinden für digitale Andachtsangebote.",
        "replit_md_path": "ROSENKRANZ\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0123",
        "title": "Replit.md - Domvs Avrea O.P.N AI Sales Assistant (SalesSymphony)",
        "project": "SalesSymphony",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "Drizzle ORM",
          "OpenAI GPT-4o-mini",
          "DALL-E 3",
          "Bland AI"
        ],
        "tags": [
          "sales",
          "marketing",
          "ki-content",
          "e-mail",
          "leads",
          "crm",
          "templates",
          "react"
        ],
        "status": "production-ready",
        "overview": "Full-Stack KI-gestützte Sales-/Marketing-Plattform für Domvs Avrea O.P.N: einheitliche KI-Content-Generierung über Sales-Chat, E-Mail-Templates, Social-Media-Posts, Videoskripte und automatisierte Telefonanrufe. Umfangreiche, mehrfach als \"produktionsreif\" getestete Lead-Datenbank (6.000 Leads).",
        "elevator_pitch": "50 fertige KI-Sales-Templates, ein 6.000-Lead-CRM und automatisierte Voice-Calls — alles über eine zentrale KI-Content-Engine.",
        "target_audience": "B2B-Vertriebsteams, Growth-/Marketing-Agenturen, Fintech-/Enterprise-Sales-Organisationen.",
        "replit_md_path": "SalesSymphony\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0124",
        "title": "Samsung-made Index Organizer (samsung-made)",
        "project": "samsung-made",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "Vanilla JS"
        ],
        "tags": [
          "index-organizer",
          "sammlung",
          "static",
          "misc-tools",
          "quiz",
          "guides"
        ],
        "status": "production-ready",
        "overview": "Ein funktionierender, JS-gesteuerter Datei-Index-Organizer (`index.html`), der dynamisch auf eine Sammlung von 18 eigenständigen, thematisch sehr unterschiedlichen HTML-Tools im Unterordner `Samsung-made/` verlinkt. **Hinweis**: Die vorherige replit.md dieses Ordners beschrieb nachweislich (per Byte-Vergleich identisch) ein komplett anderes, fachfremdes Projekt (\"Cum-Ex & Cum-Cum Educational Guide\"). Diese Version ersetzt die fehlerhafte Datei.",
        "elevator_pitch": "Ein leichtgewichtiger, automatisch generierter Index für eine bunte Sammlung von 18 fertigen HTML-Tools — von Quiz über Reisetipps bis Compliance-Dashboard.",
        "target_audience": "Interner Gebrauch als persönliche/team-interne Werkzeugsammlung; einzelne Tools (z.B. Kreditkartenvergleich, Compliance-Dashboard) könnten auch eigenständig an Endnutzer ausgeliefert werden.",
        "replit_md_path": "samsung-made\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0125",
        "title": "Orbitron Chess / Deep Orbitron Chess Tutor (schach-meisger)",
        "project": "schach-meisger",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML/CSS/JS",
          "Stockfish (WASM/Worker)",
          "Gemini API"
        ],
        "tags": [
          "chess",
          "ai-coaching",
          "stockfish",
          "gemini",
          "rag",
          "learning",
          "puzzles"
        ],
        "status": "production-ready",
        "overview": "Umfangreiche Schach-Coaching-Anwendung \"Orbitron Chess\" / \"Deep Orbitron Chess Tutor\": eine browserseitige Stockfish-Engine liefert belastbare numerische Evaluationen (\"Evidence-Layer\"), waehrend ein Gemini-KI-Modell die verstaendliche Coaching-Ebene uebernimmt — bewusst getrennt, damit die KI keine erfundenen Engine-Werte praesentiert. Zusaetzlich ein lokaler RAG-Modus, der Stellungen mit fuenf validierten Meisterpartien vergleicht.",
        "elevator_pitch": "Ein Schach-Tutor, der niemals luegt — echte Stockfish-Zahlen fuer die Fakten, KI nur fuer die verstaendliche Erklaerung, strikt getrennt.",
        "target_audience": "Schachlernende aller Staerken, die einen KI-Coach wollen, dem sie bei den Zahlen vertrauen koennen.",
        "replit_md_path": "schach-meisger\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0126",
        "title": "secureALL — DVAG Beratungstrainer",
        "project": "secureALL",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Express.js",
          "OpenAI GPT-4",
          "HTML/CSS/JS",
          "Tailwind CSS"
        ],
        "tags": [
          "dvag",
          "sales-training",
          "crm",
          "chatbot",
          "roleplay",
          "tts",
          "function-calling"
        ],
        "status": "production-ready",
        "overview": "KI-gestuetzte Trainingsplattform fuer Finanzberater mit integriertem CRM-System. Kombiniert realistische Gespraechssimulationen (Kunde/Berater-Rollenspiel) mit CRM-Funktionen zur Automatisierung von Outreach-Massnahmen (E-Mails, LinkedIn-Posts, Follow-ups). Laeuft vollstaendig auf `secure-all.replit.app` zur Vermeidung von Port-Konflikten.",
        "elevator_pitch": "Ein KI-Kunde zum Ueben von Verkaufsgespraechen PLUS ein CRM, das direkt aus dem Gespraech heraus Follow-up-E-Mails und LinkedIn-Posts generiert.",
        "target_audience": "DVAG-Finanzberater (und uebertragbar auf andere Vertriebsorganisationen) zur Gespraechs-Trainingssimulation und CRM-gestuetzten Kundenkommunikation.",
        "replit_md_path": "secureALL\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0127",
        "title": "Orderbook AI (SlideSwapViewer)",
        "project": "SlideSwapViewer",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "Python",
          "Flask",
          "Bootstrap 4"
        ],
        "tags": [
          "orderbook",
          "market-overview",
          "flask",
          "indices",
          "sectors",
          "ai-analysis"
        ],
        "status": "prototype",
        "overview": "Flask-Anwendung \"Orderbook AI\" zur Marktuebersicht ueber Indizes, Branchen und Anlageklassen: Dropdown-Auswahl fuer deutsche Indizes (DAX, MDAX, TECDAX), US-Indizes/Branchen, europaeische Indizes/Branchen, Krypto und Forex, plus manuelle Symbolsuche mit KI-Analyse-Button. Verweist auf eine verwandte \"EXECUTED\"-App (`orderbook-ai-executed.replit.app`).",
        "elevator_pitch": "Ein Markt-Cockpit, das per Dropdown zwischen DAX, Dow, Krypto und mehr wechselt und auf Knopfdruck eine KI-Analyse zum gewaehlten Symbol liefert.",
        "target_audience": "Trader, die einen schnellen Ueberblick ueber verschiedene Anlageklassen ohne mehrere Tabs wollen.",
        "replit_md_path": "SlideSwapViewer\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0128",
        "title": "NEURAL GAMES HUB (SPIELESAMMLUNG)",
        "project": "SPIELESAMMLUNG",
        "category": "Games",
        "cluster": "Games",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "Static HTML/CSS/JS"
        ],
        "tags": [
          "games",
          "arcade",
          "hub",
          "neural",
          "cyberpunk",
          "static",
          "casino",
          "boardgames"
        ],
        "status": "production-ready",
        "overview": "Zentrale Spiele-Hub-Seite \"NEURAL GAMES HUB // v6.0\" — laut eigener Meta-Description \"49 KI-generierte Browser-Games im Cyberpunk-Style\". Enthaelt einen eingebetteten `1agames`-Ordner mit den eigentlichen Spieldateien sowie eine zusaetzliche `MINI-GAMES.html`. **Wichtiger Korrekturhinweis**: Die vorherige replit.md dieses Ordners beschrieb faelschlich ein \"Cum-Ex & Cum-Cum Educational Guide\" — ein voellig anderes, nicht zum Ordnernamen/Inhalt passendes Thema. Diese Version ersetzt jenen fehlerhaften Stand durch eine am tatsaechlichen Code verifizierte Beschreibung.",
        "elevator_pitch": "Ein kuratierter Hub fuer 49 Cyberpunk-Browser-Spiele, kategorisiert nach Arcade/Casino/Brett/Karten/Strategie — ein Klick zum Spielen, kein Download.",
        "target_audience": "Arcade-Fans, Portfolio-/Demo-Zwecke, White-Label-Lizenzierung fuer Mini-Game-Sammlungen.",
        "replit_md_path": "SPIELESAMMLUNG\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0129",
        "title": "StockComparator — Stock Analysis Chatbot / Professional Trading Analysis Platform",
        "project": "StockComparator",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "TypeScript",
          "Vite",
          "Express",
          "OpenAI GPT",
          "Tailwind CSS"
        ],
        "tags": [
          "trading",
          "stock-comparison",
          "chatbot",
          "spread-analysis",
          "openai",
          "dashboard",
          "react",
          "express"
        ],
        "status": "production-ready",
        "overview": "Aktienanalyse-App, die zwei Instrumente/Aktien gegenueberstellt und mittels OpenAI GPT eine textuelle Vergleichsanalyse liefert - inklusive Volatilitaetsberechnung sowie automatisch abgeleiteten Stop-Loss- und Take-Profit-Marken je nach Out-/Underperformance. Existiert als React/Vite-App plus eine grosse eigenstaendige Standalone-HTML-Version.",
        "elevator_pitch": "Gib zwei Aktien ein, und die KI sagt dir in Klartext, welche gerade die staerkere ist - inklusive fertiger Stop-Loss-/Take-Profit-Marken.",
        "target_audience": "Privatanleger und Trading-Einsteiger, die zwei Werte (z.B. Branchen-Konkurrenten) schnell gegenueberstellen wollen, ohne selbst Kennzahlen zu berechnen.",
        "replit_md_path": "StockComparator\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0130",
        "title": "StockGptIntelligence — GENITUS Watchlists / Advanced Ticker Search",
        "project": "StockGptIntelligence",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "Express",
          "Node.js",
          "TypeScript",
          "EOD Historical Data API",
          "OpenAI GPT-4o-mini",
          "Chart.js",
          "React/Vite",
          "Vanilla JS"
        ],
        "tags": [
          "genitus",
          "stock-watchlist",
          "ticker-search",
          "ai-assistant",
          "gpt-4o-mini",
          "chart-js",
          "fragmented-ui",
          "eod-data"
        ],
        "status": "prototype",
        "overview": "StockGptIntelligence ist die umfangreichste App der \"GENITUS\"-Trading-Produktfamilie im Bestand: ein Express/TypeScript-Server mit echter DB-Anbindung (`server/db.ts`), der die EOD Historical Data API für Börsen-/Ticker-Daten anbindet und einen OpenAI-GPT-4o-mini-Chat-Assistenten für Aktienanalysen integriert. Das Projekt liegt jedoch fragmentiert vor: mehrere parallele HTML-Oberflächen (`finalticker.html`, `watchlist.htm`, `watchlist-MIXED.html`) bilden unterschiedliche, nebeneinander existierende UI-Ausbaustufen desselben Produkts ab statt einer einzigen finalen Version.",
        "elevator_pitch": "Ein Ticker-Such- und Watchlist-Terminal mit eingebautem GPT-4o-mini-Finanzassistenten — Aktie eingeben, Chart sehen, KI nach Geschäftsmodell/Risiken/Kennzahlen fragen.",
        "target_audience": "Privatanleger und Trading-Enthusiasten, die eine schnelle Ticker-Recherche mit KI-Erklärung statt reiner Rohdaten-Tabellen wollen; passt zur restlichen GENITUS-Produktfamilie (Crypto-Dashboards, Command-Center) im selben Bestand.",
        "replit_md_path": "StockGptIntelligence\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0131",
        "title": "STOCK-HTML5-REPORTS - Curated HTML5 Research Reports",
        "project": "STOCK-HTML5-REPORTS",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Python-Generator"
        ],
        "tags": [
          "research-report",
          "static",
          "self-contained",
          "offline",
          "equity-report"
        ],
        "status": "production-ready",
        "overview": "Keine interaktive Web-App, sondern eine kleine Sammlung eigenstaendiger, druckfreundlicher HTML5-Research-Reports, generiert aus vollstaendigen Datenschnappschuessen der Haupt-App (Snapshot-JSON, z.B. `STOCK-SLIDES-TEMPLATES/raw-data/complete-json/NVDA_snapshot.json`). Dient als Ausgabeformat einer groesseren, hier nicht enthaltenen Datenpipeline.",
        "elevator_pitch": "Ein vollstaendig eigenstaendiger, offline-faehiger HTML5-Aktienreport - eine Datei, alle Daten eingebettet.",
        "target_audience": "Analysten/Research-Teams, die Reports einfach per E-Mail/USB-Stick teilen wollen, ohne Web-Hosting.",
        "replit_md_path": "STOCK-HTML5-REPORTS\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0132",
        "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
        "project": "StockSentinel",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Streamlit",
          "FastAPI/Starlette",
          "yfinance",
          "Plotly",
          "Python"
        ],
        "tags": [
          "aktienanalyse",
          "streamlit",
          "dcf",
          "kennzahlen",
          "watchlist",
          "dashboard",
          "python"
        ],
        "status": "production-ready",
        "overview": "Multi-Page-Streamlit-App für intelligente Aktienanalyse mit dunkler \"Neural Fintech\"-UI. Ein schlanker FastAPI/Starlette-Edge-Proxy (`proxy_server.py`) sitzt vor Streamlit und liefert zusätzlich direkte Yahoo-Finance-JSON-Endpunkte sowie ein Standalone-HTML5-Cockpit. Der Ordner enthält zusätzlich ältere `WATCHLIST*.html`-Dateien einer früheren Projektphase.",
        "elevator_pitch": "Ein Aktienanalyse-Cockpit mit sieben Modulen — von Live-Charts über DCF-Bewertung bis Risiko-Metriken — und einem 1.735-Symbole-Universum.",
        "target_audience": "Fundamentalanalyse-orientierte Privatanleger, Finance-Studierende, als Analyse-Backend für andere Genitus-Fintech-Produkte.",
        "replit_md_path": "StockSentinel\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0133",
        "title": "Le Marché AI — Neural Fintech Cockpit (StockSentinel)",
        "project": "StockSentinel (1)",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Python",
          "Streamlit",
          "yfinance",
          "Plotly"
        ],
        "tags": [
          "stocks",
          "streamlit",
          "fundamental-analysis",
          "dcf",
          "watchlist",
          "ticker-universe",
          "dashboard"
        ],
        "status": "production-ready",
        "overview": "Multi-Page-Streamlit-App fuer intelligente Aktienanalyse mit kuratiertem Lightmode und optionaler \"Neural Fintech\" Darkmode-UI. Acht Module: Cockpit/Home, Charts, Bilanzanalyse, Kennzahlen, Bewertung (DCF), Vergleich, Watchlist, Ticker-Browser, Export-Center. Ticker-Universum von 1.700+ kuratierten Symbolen weltweit.",
        "elevator_pitch": "Ein Aktienanalyse-Cockpit mit Bilanz, DCF-Bewertung, Risikometriken und 1.700+ Ticker-Universum — alles in einer Streamlit-App, ohne Excel-Gefrickel.",
        "target_audience": "Fundamentalanalyse-orientierte Privatanleger, Finanzberater, Le-Marché/Genitus-Nutzer.",
        "replit_md_path": "StockSentinel (1)\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0134",
        "title": "STOCK-SLIDES-TEMPLATES — Kuratierte Aktien-Analyse-Decks",
        "project": "STOCK-SLIDES-TEMPLATES",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML",
          "CSS",
          "Vanilla JS",
          "Google Fonts",
          "Python (Generator-Skript",
          "extern)"
        ],
        "tags": [
          "stock-analysis",
          "slide-deck",
          "template-collection",
          "cyberpunk",
          "swiss-editorial",
          "bloomberg-terminal",
          "dcf",
          "fundamentals",
          "curated-data"
        ],
        "status": "production-ready",
        "overview": "Kein interaktives Web-App-Projekt, sondern eine kuratierte Sammlung von 51 eigenständigen, selbstenthaltenen HTML-\"Slide-Decks\" (Präsentations-Folien) zu einzelnen Aktien: 10 Stil-Master-Vorlagen in unterschiedlichen visuellen Designsprachen, angewendet auf 41 tickerspezifische Decks (AAPL, MSFT, TSLA, AMZN, GOOGL, META, NVDA, JPM u. v. a.). Jedes Deck wird aus einem kanonischen JSON-Snapshot pro Ticker neu gerendert, fehlende Werte bleiben explizit `N/A` statt erfunden zu werden — das Projekt legt dokumentiert Wert auf Daten-Ehrlichkeit statt Fantasiewerten.",
        "elevator_pitch": "PowerPoint für Aktienanalysen\" als Klick-durch-Folien-Deck im Browser — zehn fertige Design-Sprachen, jederzeit auf jeden Ticker mit echten Fundamentaldaten anwendbar.",
        "target_audience": "Finanzanalysten, Investor-Relations-Teams, Content-Ersteller für Finfluencer-Content, Vertriebsteams (z. B. Bank-/Vermögensberater), die schnell professionell wirkende Aktien-Kurzprofile brauchen.",
        "replit_md_path": "STOCK-SLIDES-TEMPLATES\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0135",
        "title": "summa — Philosophia et Theologia Salutis",
        "project": "summa",
        "category": "Religioes",
        "cluster": "Religioes",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "Vanilla JavaScript",
          "Google Fonts Playfair Display",
          "Google Fonts EB Garamond"
        ],
        "tags": [
          "Theologie",
          "Philosophie",
          "Thomas-von-Aquin",
          "eBook",
          "Scholastik",
          "Katholisch",
          "Latein",
          "KDP",
          "Selfpublishing"
        ],
        "status": "production-ready",
        "overview": "Statisches eBook-/Website-Projekt zur Philosophie und Theologie des Heils, aufgebaut um das Denken des Thomas von Aquin. `index.html` ist **tatsaechlich vollstaendig fertig** — 5.628 Zeilen mit acht kompletten \"Teil\"-Abschnitten von der Erkenntnistheorie bis zur Synthesis, durchgaengig mit lateinischen Originalzitaten, Quellenangaben (Summa Theologiae, De Veritate, Konzil von Trient) und didaktischen Textboxen (Definition/Beispiel/Wichtig/Reflexion). Zusaetzlich `kdp.html` (339 Zeilen) als \"eBook Masterplan\" fuer die Selfpublishing-Vermarktung via Amazon KDP.",
        "elevator_pitch": "Ein vollstaendiges, wissenschaftlich sauber zitiertes Thomas-von-Aquin-eBook — von Erkenntnistheorie bis Sakramentenlehre — im eleganten Buchdesign, sofort KDP-vermarktungsfaehig.",
        "target_audience": "Katholische Bildungseinrichtungen, Theologiestudierende, Konvertiten/Glaubensinteressierte, Selfpublishing-Markt (Amazon KDP), Homeschooling im katholischen Kontext.",
        "replit_md_path": "summa\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0136",
        "title": "SymbolAnalyzer — LEMOMENT API / NEURAL MATRIX Trading Tools",
        "project": "SymbolAnalyzer",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Python",
          "Flask",
          "flask_cors",
          "HTML/CSS/JS"
        ],
        "tags": [
          "trading",
          "api",
          "dashboard",
          "candlestick",
          "terminal-ui",
          "flask",
          "api-key-auth",
          "scanner"
        ],
        "status": "production-ready",
        "overview": "Buendelt eine Flask-basierte Trading-API (\"LEMOMENT API\") mit mehreren clientseitigen \"NEURAL MATRIX\"-Trading-Oberflaechen. In-Memory-Caching (Kurscache, separater Historien-Cache), Symbolvalidierung per Regex und API-Key-geschuetzte Routen.",
        "elevator_pitch": "Eine dokumentierte, API-Key-geschuetzte Trading-Daten-API im Cyberpunk-Terminal-Look, plus fertige Live-Execution-Dashboards obendrauf.",
        "target_audience": "Entwickler/Trading-Bastler, die eine eigene, gecachte Kursdaten-API mit klarer Doku brauchen, sowie Trader, die ein sofort nutzbares \"Live Execution\"-Dashboard wollen.",
        "replit_md_path": "SymbolAnalyzer\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0137",
        "title": "TENSOR-FLOW — L'ALGO NEURAL: ML Trading & Macro Intelligence",
        "project": "TENSOR-FLOW",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Node.js",
          "Express",
          "TensorFlow.js",
          "LSTM",
          "Lightweight Charts",
          "Vanilla JS",
          "Orbitron",
          "JetBrains Mono",
          "World Bank API",
          "IMF WEO API",
          "FRED API",
          "yahoo-finance2",
          "Finnhub",
          "node-cache"
        ],
        "tags": [
          "trading",
          "macro-economics",
          "LSTM",
          "neural-network",
          "cyberpunk-ui",
          "dashboard",
          "World-Bank",
          "IMF",
          "FRED",
          "TensorFlow.js"
        ],
        "status": "prototype",
        "overview": "Full-stack Node.js/Express Anwendung mit einem TensorFlow.js LSTM-Neuronalnetz, das (1) echte Marktkurse (Aktien, Krypto, Forex) laedt, (2) ein LSTM-Modell live auf historischen OHLCV-Daten trainiert, (3) die naechste Trendrichtung (UP/DOWN/NEUTRAL) mit Konfidenzwert vorhersagt und (4) alles auf einem Cyberpunk-Dashboard darstellt. Ein zweites Dashboard (\"L'ALGO MACRO\") macht dasselbe fuer makrooekonomische Indikatoren (BIP, Inflation, Arbeitslosigkeit, Staatsschulden) mit Daten von World Bank, IMF WEO und FRED, inklusive Prognosen bis 2031. Das `public/`-Verzeichnis enthaelt tatsaechlich deut...",
        "elevator_pitch": "Ein KI-Analyst, der in Sekunden ein neuronales Netz auf Live-Marktdaten oder Weltbank-Makrodaten trainiert und dir sagt, wohin es geht — mit Konfidenzscore, nicht nur Bauchgefuehl.",
        "target_audience": "Privatanleger/Trader mit technischem Interesse, Fintech-Demo-Publikum, Makro-affine Analysten, Portfolio dieser Fintech-Sammlung als \"Wir koennen echtes ML\" Showcase.",
        "replit_md_path": "TENSOR-FLOW\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0138",
        "title": "Genitus Trading Dashboard (TraderDashboard)",
        "project": "TraderDashboard",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Vite",
          "Express",
          "Zod",
          "TypeScript"
        ],
        "tags": [
          "portfolio",
          "positionen",
          "crud",
          "react",
          "express",
          "genitus",
          "dashboard"
        ],
        "status": "prototype",
        "overview": "Portfolio-/Positions-Dashboard aus der \"Genitus\"-Produktfamilie. Express-Server mit CRUD-Routen für Handelspositionen, vorbereiteten Schemas für Marktdaten/Handelshistorie/Nutzereinstellungen, plus einer eigenständigen, umfangreicheren Standalone-HTML-Version.",
        "elevator_pitch": "Ein schlankes Positions-CRUD-Dashboard für das Genitus-Trading-Ökosystem — echte API, Zod-validiert, mit fertiger Standalone-Portfolio-Ansicht.",
        "target_audience": "Genitus-interne Nutzer zur Positionsverwaltung; als Baustein für ein größeres Portfolio-Management-Produkt.",
        "replit_md_path": "TraderDashboard\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0139",
        "title": "TravelGPT (TravelMate)",
        "project": "TravelMate",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Vite",
          "Express",
          "Universal AI Proxy"
        ],
        "tags": [
          "travel",
          "ai-companion",
          "chat",
          "proxy",
          "react",
          "express",
          "destinations"
        ],
        "status": "production-ready",
        "overview": "KI-gestuetzter Reisebegleiter (React+Vite-Frontend, Express-Backend, In-Memory-Storage). Alle KI-/Datenaufrufe laufen ueber den \"Universal AI & Financial Data Proxy\" (`theserver-open-ai.replit.app`, 98 Endpunkte ueber OpenAI, Mistral, Claude, Perplexity, Gemini, RapidAPI, EOD Historical Data) — keine lokalen API-Keys noetig.",
        "elevator_pitch": "Ein KI-Reisebegleiter, der Ziele empfiehlt, Kultur-Infos liefert und per Chat/Sprache antwortet — ganz ohne eigene API-Key-Verwaltung dank zentralem Proxy.",
        "target_audience": "Reisende, die eine KI-gestuetzte Planungshilfe wollen; Demo-Zwecke fuer die Universal-AI-Proxy-Architektur.",
        "replit_md_path": "TravelMate\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0140",
        "title": "TrendPulse — Stock Analysis Chatbot (EOD-Proxy)",
        "project": "TrendPulse",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "React",
          "TypeScript",
          "Vite",
          "Express",
          "EOD Historical Data API"
        ],
        "tags": [
          "trading",
          "eod-proxy",
          "react",
          "express",
          "minimal",
          "scaffold",
          "stock-data"
        ],
        "status": "prototype",
        "overview": "Schlanke React/Vite-App mit Express-Backend, deren einzige dokumentierte Aufgabe ein serverseitiger Proxy zur EOD Historical Data API ist. Wirkt wie ein frueher/minimaler Entwicklungsstand oder ein reduziertes Grundgeruest innerhalb der \"Stock Analysis Chatbot\"-Projektfamilie.",
        "elevator_pitch": "Ein schlanker CORS-Proxy fuer End-of-Day-Aktienkurse - die Grundlage, auf der umfangreichere Trading-Tools aufsetzen koennen.",
        "target_audience": "intern, als Bauteil/Startpunkt fuer weitere Trading-Apps im selben Oekosystem, nicht als eigenstaendiges Endkundenprodukt zu vermarkten.",
        "replit_md_path": "TrendPulse\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0141",
        "title": "Map Projections: Theory, History, and Accuracy (truthmap)",
        "project": "truthmap",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Static HTML",
          "Tailwind CSS"
        ],
        "tags": [
          "ebook",
          "kartografie",
          "bildung",
          "static",
          "tailwind",
          "wissenschaft",
          "geografie"
        ],
        "status": "production-ready",
        "overview": "Ein digitales eBook, das die Wissenschaft und Politik der Kartografie erkundet — Kartenprojektionen, deren historische Entwicklung und Verzerrungsproblematik. Nutzt Tailwind CSS und hochauflösende, authentische Public-Domain-Kartenbilder von NASA und Wikimedia Commons.",
        "elevator_pitch": "Ein visuell aufwendiges digitales eBook, das erklärt, warum jede Weltkarte lügt — von Mercator über Gall-Peters bis zum Tissot-Indikator, mit echten NASA-/Wikimedia-Kartenbildern.",
        "target_audience": "Geografie-/Kartografie-Studierende, Bildungseinrichtungen, an Wissenschaftsgeschichte Interessierte, Journalismus/Redaktionen für Faktencheck-Kontext zu Kartendarstellungen.",
        "replit_md_path": "truthmap\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0142",
        "title": "UnaVoceAI - Text-to-Speech & Speech-to-Text (tts-batch)",
        "project": "tts-batch",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "PostgreSQL",
          "Drizzle",
          "OpenAI TTS/STT"
        ],
        "tags": [
          "text-to-speech",
          "speech-to-text",
          "openai",
          "whisper",
          "audio",
          "transcription"
        ],
        "status": "production-ready",
        "overview": "Moderne Web-App fuer fortgeschrittene Text-to-Speech(TTS)- und Speech-to-Text(STT)-Faehigkeiten mit OpenAIs neuesten Audio-APIs: GPT-4o-Transkriptionsmodelle, Echtzeit-Streaming, erweitertes Prompting, wortgenaue Zeitstempel und mehrere Stimmoptionen. React-Frontend + Express-Backend, TypeScript durchgaengig.",
        "elevator_pitch": "Text in natuerliche Sprache verwandeln oder Audio in praezisen Text — mit den neuesten OpenAI-Modellen (GPT-4o-Transcribe, nicht nur altem Whisper) und sechs Premium-Stimmen.",
        "target_audience": "Content-Ersteller, Podcaster (Verknuepfung zu `podcast.html` im selben Ordner), Barrierefreiheits-Anwendungen, Entwickler die TTS/STT-Demos brauchen.",
        "replit_md_path": "tts-batch\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0143",
        "title": "Vaulty — DVAG Strategy Intelligence v5.1 Deluxe",
        "project": "VAULTY",
        "category": "DVAG-Versicherung",
        "cluster": "DVAG-Versicherung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Web Crypto API (AES-256-GCM",
          "PBKDF2)",
          "PDF.js",
          "GPT-4o-mini",
          "Calendly",
          "localStorage"
        ],
        "tags": [
          "budget-coach",
          "dvag",
          "ai-chat",
          "pdf-anonymizer",
          "encryption",
          "pwa",
          "gamification",
          "dsgvo",
          "allfinanz"
        ],
        "status": "prototype",
        "overview": "Vaulty ist ein KI-gestützter Budget-Coach im Retro-Terminal-Look, der Nutzer:innen anhand der DVAG-Allfinanz-Regel \"30-30-30-10\" (Fixkosten/Konsum/Sparen/Schutz) durch ihre Finanzen führt — per Chat, Live-Slidern und einem 30-Jahres-Vermögensprognose-Panel. Ergänzt wird die App durch einen eigenständigen PDF-Kontoauszug-Anonymizer (`extractor.html`), der Kontoauszüge/Policen client-seitig anonymisiert, bevor Daten an eine KI weitergereicht werden. Die App ist als installierbare PWA mit 4 Themes, verschlüsseltem Datenexport und Lead-Übergabe an einen DVAG-Berater (Calendly) konzipiert. Zielgrup...",
        "elevator_pitch": "Vaulty ist ein KI-gestützter Budget-Coach im Retro-Terminal-Look, der Nutzer per Chat und Live-Slidern durch die DVAG-Allfinanz-Regel \"30-30-30-10\" führt und eine 30-Jahres-Vermögensprognose liefert — inklusive DSGVO-konformem PDF-Kontoauszug-Anonymizer.",
        "target_audience": "DVAG-Berater als White-Label-Tool für die Kundenansprache sowie deren Endkunden in Deutschland/Schweiz, die ihre Finanzen spielerisch analysieren wollen.",
        "replit_md_path": "VAULTY\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0144",
        "title": "NewsFlow AI - Financial News Aggregation Platform (VEKTOR-NEWS)",
        "project": "VEKTOR-NEWS",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "Cron",
          "RSS Parser",
          "PostgreSQL",
          "Drizzle ORM"
        ],
        "tags": [
          "news",
          "rss",
          "aggregation",
          "fintech",
          "cyberpunk",
          "react",
          "cron",
          "bookmarks"
        ],
        "status": "production-ready",
        "overview": "Finanz-News-Aggregations-Plattform mit KI-getriebener Cyberpunk-Ästhetik: Echtzeit-News aus mehreren Quellen zu Märkten, Aktien, Krypto und ETFs, Suche, kategorisierte Feeds, Bookmarks.",
        "elevator_pitch": "Ein automatisch aggregierter Finanz-News-Feed aus 10+ Quellen (Bloomberg, Reuters, Handelsblatt u.a.), täglich per Cron aktualisiert, mit Bookmarks und Kategorien.",
        "target_audience": "Trader/Investoren, die einen kuratierten Finanz-News-Überblick statt zig Einzelquellen wollen; als Widget für andere Genitus-Fintech-Produkte.",
        "replit_md_path": "VEKTOR-NEWS\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0145",
        "title": "VisualDesignSystem — Le Marché AI (Landingpage fuer die Genitus-Trading-App-Suite)",
        "project": "VisualDesignSystem",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Flask",
          "Flask-SQLAlchemy",
          "HTML/CSS",
          "Shepherd.js"
        ],
        "tags": [
          "portal",
          "landing-page",
          "genitus",
          "le-marche",
          "navigation-hub",
          "flask",
          "onboarding-tour"
        ],
        "status": "production-ready",
        "overview": "Marketing-/Uebersichts-Landingpage \"Le Marché AI\" (Branding \"Genitus Inc.\"), die als zentraler Portal-Einstiegspunkt auf die verschiedenen einzelnen Trading-Tools des Nutzers verlinkt (LeGraph, L'Average, LeSentinel, L'Intraday, LeGlobal u.a.), inkl. Onboarding-Tour und Dark/Light-Theme-Toggle.",
        "elevator_pitch": "Eine Seite, die alle Genitus-Trading-Tools an einem Ort zeigt und neue Nutzer per gefuehrter Tour direkt zum passenden Werkzeug leitet.",
        "target_audience": "neue Besucher des Genitus/Le-Marché-Oekosystems, die noch nicht wissen, welches der vielen Einzeltools (LeGraph, L'Average, LeSentinel...) fuer sie passt.",
        "replit_md_path": "VisualDesignSystem\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0146",
        "title": "AI Lingua - Language Learning Platform (VocabMaster)",
        "project": "VocabMaster",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "Flask",
          "Bootstrap 5",
          "Mistral AI",
          "OpenAI TTS",
          "Gunicorn"
        ],
        "tags": [
          "sprachlernen",
          "vokabeln",
          "chatbot",
          "text-to-speech",
          "flask",
          "mehrsprachig",
          "bildung",
          "ki-tutor"
        ],
        "status": "production-ready",
        "overview": "KI-gestützte mehrsprachige Vokabellernplattform mit dynamischer Content-Generierung und adaptivem Lernen. Bietet Vokabeltraining, Chat-Funktionalität und Text-zu-Sprache über 20+ Sprachpaare.",
        "elevator_pitch": "AI Lingua generiert dir in Sekunden individuelle Vokabellisten für 20+ Sprachpaare, lässt dich per Chat auf Mistral AI üben und hört sich mit echten OpenAI-Stimmen zum Nachsprechen an.",
        "target_audience": "Einzellerner mit Sprachlern-Ambitionen, Sprachschulen als White-Label-Tool, Selbstständige/Freelancer, die Zielsprachen-Support für Kunden brauchen.",
        "replit_md_path": "VocabMaster\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0147",
        "title": "0-VOLUMEN — Quant Trading Suite (VOLUMEN-TRADING)",
        "project": "VOLUMEN-TRADING",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "Static HTML/JS",
          "Tailwind",
          "Chart-Libraries"
        ],
        "tags": [
          "quant",
          "volume-indicators",
          "machine-learning",
          "options-pricing",
          "portfolio",
          "static"
        ],
        "status": "production-ready",
        "overview": "Eine Sammlung von 29 geprueften und bugbereinigten Quant-Trading-Prototypen: Volumen-Indikatoren, Regime-/ML-Modelle, Optionspreismodelle und ein vollstaendiger Portfolio/Index-Engine-Workflow — jeder Baustein als eigenstaendige HTML-Datei, gebuendelt in einer Flagship-App `MEGA-VOLUME.html`. **Wichtiger Korrekturhinweis**: Die vorherige replit.md dieses Ordners beschrieb faelschlich einen \"Cum-Ex & Cum-Cum Educational Guide\" — ein voellig anderes Thema. Diese Version ersetzt jenen fehlerhaften Stand durch eine am tatsaechlichen Code verifizierte Beschreibung.",
        "elevator_pitch": "29 fertige Quant-Trading-Tools — von On-Balance-Volume bis Gaussian-HMM-Regimeerkennung — als konsolidierte Suite mit einer Flagship-App fuer alle Module gleichzeitig.",
        "target_audience": "Quant-Trader, technisch versierte Privatanleger, Fintech-Portfolio-Demos.",
        "replit_md_path": "VOLUMEN-TRADING\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0148",
        "title": "Weather Dashboard Application (WeatherWhiz)",
        "project": "WeatherWhiz",
        "category": "Sonstiges",
        "cluster": "Sonstiges",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "PostgreSQL",
          "Drizzle",
          "Brightsky API",
          "OpenAI"
        ],
        "tags": [
          "weather",
          "dashboard",
          "chatbot",
          "brightsky",
          "dwd",
          "forecast",
          "react"
        ],
        "status": "production-ready",
        "overview": "Farbenfrohes, freundliches Full-Stack-Wetter-Dashboard (React, Express, PostgreSQL) mit echter Wetterdaten-Anbindung an die Brightsky-API (Deutscher Wetterdienst) und einem GPT-4o-mini-gestuetzten Chat-Interface fuer Wetterfragen.",
        "elevator_pitch": "Ein bunt-verspieltes Wetter-Dashboard mit echten DWD-Daten und einem KI-Wetter-Chat, statt trockener Zahlen-Tabelle.",
        "target_audience": "Endnutzer, die eine ansprechendere Alternative zu Standard-Wetter-Apps suchen; Bildungszwecke fuer Wetter-API-Integration.",
        "replit_md_path": "WeatherWhiz\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0149",
        "title": "Webinar Chat Application (WebinarAiAssistant)",
        "project": "WebinarAiAssistant",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "WebSocket",
          "PostgreSQL",
          "Drizzle ORM",
          "OpenAI Proxy"
        ],
        "tags": [
          "webinar",
          "chat",
          "websocket",
          "ki-moderation",
          "echtzeit",
          "qa-modus",
          "drizzle",
          "react"
        ],
        "status": "production-ready",
        "overview": "Echtzeit-Webinar-Chat-App (React + Express + WebSocket): interaktives Chat-Interface für Webinar-Teilnehmer mit Q&A-Modus, Teilnehmerstatus, Nachrichten-Reaktionen und KI-gestützter Moderation.",
        "elevator_pitch": "Eine Echtzeit-Chat-Schicht für Webinare mit Q&A-Modus, Reaktionen und einem KI-Moderator, der automatisch mitdiskutiert und Fragen beantwortet.",
        "target_audience": "Webinar-Veranstalter, Online-Kursanbieter, Corporate-Trainings (passt zum DVAG-Trainings-Ökosystem der Sammlung), Community-Manager.",
        "replit_md_path": "WebinarAiAssistant\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0150",
        "title": "WebSiteEnhancer — Neural Codex // eBook Forge (v2.0)",
        "project": "WebSiteEnhancer",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML/CSS/JS",
          "Express",
          "OpenAI GPT-4o",
          "Tailwind",
          "Bootstrap",
          "Materialize"
        ],
        "tags": [
          "ebook-generator",
          "ai-writing",
          "multi-model",
          "pdf-export",
          "streaming",
          "content-generation"
        ],
        "status": "production-ready",
        "overview": "Eigenstaendige Web-App, die formatierte eBooks mittels Multi-Modell-KI-Generierung erstellt (OpenAI/Mistral/Claude/Gemini/Perplexity ueber einen gemeinsamen Proxy). \"Neural Orbitron\"-Cyberpunk-Redesign mit Live-SSE-Streaming, Ton-/Laengen-Steuerung und PDF-Export.",
        "elevator_pitch": "Thema eingeben, Ton und Laenge waehlen, fertiges formatiertes eBook mit Live-Streaming erhalten - inklusive PDF-Export, ganz ohne eigenen KI-Account.",
        "target_audience": "Autoren/Content-Ersteller, die schnell strukturierte Fach- oder Ratgebertexte in mehreren Vorlagen-Stilen erzeugen wollen (aehnlich wie bei `kostolany`/`famer-und-jager` bereits produziert).",
        "replit_md_path": "WebSiteEnhancer\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0151",
        "title": "AI Website Generator (WebGen Pro)",
        "project": "WebSiteEnhancer1211",
        "category": "Infrastruktur",
        "cluster": "Infrastruktur",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "Express.js",
          "Node.js",
          "OpenAI API (gpt-4.1-nano)",
          "Vanilla JavaScript",
          "Tailwind CSS (CDN)",
          "HTML/CSS"
        ],
        "tags": [
          "ai-website-generator",
          "content-generation",
          "openai-proxy",
          "tailwind",
          "ideen-generator",
          "website-builder",
          "express"
        ],
        "status": "prototype",
        "overview": "Ein KI-gestützter Website-Generator, der über einen Express-Proxy OpenAI-Modelle anspricht, um vollständige Website-Texte für sechs Website-Typen und fünf CSS-Frameworks zu erzeugen und als herunterladbare HTML-Datei auszugeben. Zusätzlich enthält das Projekt einen eigenständigen \"KI-Ideen-Generator\" für Website-/Web-App-Konzepte. Es existieren mehrere UI-Generationen nebeneinander: ein modernes dunkles \"WebGen Pro\"-Dashboard (aktueller Default) und eine ältere helle \"Legacy\"-Oberfläche (`website-generator.html`).",
        "elevator_pitch": "Ein KI-Website-Generator, der aus wenigen Eingaben (Typ, Framework, Beschreibung) fertige, herunterladbare HTML-Websites samt strukturierter deutscher Copy erzeugt.",
        "target_audience": "Freelancer, kleine Agenturen und Solopreneure, die schnell Website-Entwürfe oder -Texte ohne eigenen Copywriter brauchen.",
        "replit_md_path": "WebSiteEnhancer1211\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0152",
        "title": "Wikipedia-Style Article Generator (WikiIMAGE-1)",
        "project": "WikiIMAGE-1",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "React",
          "Express",
          "PostgreSQL",
          "Drizzle",
          "GPT-4o"
        ],
        "tags": [
          "wikipedia",
          "encyclopedia",
          "ai-content-generation",
          "german",
          "articles",
          "gpt-4o"
        ],
        "status": "production-ready",
        "overview": "Moderne Wikipedia-artige Artikelgenerierungs-App (React-Frontend, Express-Backend), die per OpenAI GPT-4o umfassende deutschsprachige Enzyklopaedie-Artikel zu beliebigen Themen generiert. Nutzer suchen Themen, browsen Kategorien und lesen KI-generierte Artikel im Wikipedia-Stil.",
        "elevator_pitch": "Ein Thema eingeben, sofort einen vollstaendigen, Wikipedia-formatierten deutschen Enzyklopaedie-Artikel per KI erhalten — inklusive Kategorien und verwandten Themen.",
        "target_audience": "Lernende/Schueler, Content-Ersteller die schnellen Ueberblickstext brauchen, Bildungsplattformen.",
        "replit_md_path": "WikiIMAGE-1\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0153",
        "title": "WikiIMAGE-1imgur — KI-Enzyklopaedie-Generator (Wikipedia-Style)",
        "project": "WikiIMAGE-1imgur",
        "category": "Bildung",
        "cluster": "Bildung",
        "tier": "1",
        "rebuild_grade": "C",
        "tech_stack": [
          "React",
          "TypeScript",
          "Vite",
          "Express",
          "PostgreSQL",
          "Drizzle ORM",
          "OpenAI GPT-4o"
        ],
        "tags": [
          "wikipedia-clone",
          "ai-content-generation",
          "encyclopedia",
          "react",
          "express",
          "postgres",
          "german"
        ],
        "status": "production-ready",
        "overview": "Moderne Wikipedia-artige Artikel-Generierungs-App mit React-Frontend und Express-Backend. Nutzt OpenAI GPT-4o, um umfassende Enzyklopaedie-Artikel auf Deutsch zu beliebigen Themen zu erzeugen; Nutzer koennen Themen suchen, Kategorien durchsuchen und KI-generierte Artikel im Wikipedia-Stil lesen.",
        "elevator_pitch": "Tippe ein beliebiges Thema ein und bekomme sofort einen vollstaendigen, formatierten Wikipedia-artigen Artikel auf Deutsch - generiert, nicht kopiert.",
        "target_audience": "Lernende/Recherchierende, die schnelle strukturierte Uebersichtsartikel zu Nischen- oder aktuellen Themen brauchen, fuer die es (noch) keinen echten Wikipedia-Artikel gibt.",
        "replit_md_path": "WikiIMAGE-1imgur\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0154",
        "title": "XTRACKERS — Xtrackers by DWS: Bloomberg Terminal Dashboard",
        "project": "XTRACKERS",
        "category": "Fintech-Trading",
        "cluster": "Fintech-Trading",
        "tier": "1",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS v3 CDN",
          "Chart.js",
          "Chart.js Financial Plugin",
          "Luxon",
          "chartjs-adapter-luxon",
          "Vanilla JS",
          "Orbitron",
          "Inter",
          "Python http.server"
        ],
        "tags": [
          "ETF",
          "DWS",
          "Xtrackers",
          "Bloomberg-Terminal",
          "trading-dashboard",
          "cyberpunk-ui",
          "single-file",
          "EOD-data",
          "DAX"
        ],
        "status": "production-ready",
        "overview": "Bloomberg-Terminal-artiges Finanz-Dashboard fuer Xtrackers-by-DWS-ETFs mit Live-EOD-Datenintegration. Zeigt Echtzeit-nahe ETF-Kurse, interaktive Charts und umfassende Marktdaten in deutschsprachiger Oberflaeche mit futuristisch-cyberpunkigem Look. Einzeldatei-Implementierung (`index.html`, ~70KB), Tailwind per CDN, Chart.js fuer Candlestick/Line/Area-Charts, EOD-API-Proxy ueber `https://theserver-open-ai.replit.app`, 34+ Xtrackers-ETF-Symbole hardcodiert im Dropdown/Watchlist. Laut vorheriger Doku am 27. Oktober 2025 als \"Production-ready with full mobile optimization\" abgeschlossen (Architect...",
        "elevator_pitch": "Ein Bloomberg-Terminal-Klon speziell fuer Xtrackers-ETFs — Live-Charts, Kommandozeile, Export, alles in einer einzigen HTML-Datei ohne Build-Prozess.",
        "target_audience": "DWS/Xtrackers als Marketing-/Produktseite, Finanzberater und Endkunden, die ETF-Kurse und Produktuebersicht in einem \"Pro-Trader\"-Look wollen; auch als Sales-Demo fuer \"wir bauen euch ein Terminal\" gegenueber anderen Asset-Managern.",
        "replit_md_path": "XTRACKERS\\replit.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0155",
        "title": "api-momentum1 — Trading Analysis API Test",
        "project": "api-momentum1",
        "category": "unbekannt (Einzeltool)",
        "cluster": "unbekannt (Einzeltool)",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Google Charts (gstatic loader.js)",
          "Vanilla JS",
          "Fetch API",
          "externer Momentum-Proxy"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "api-test",
          "jwt",
          "candlestick-chart"
        ],
        "status": "prototype",
        "overview": "Ein schlankes API-Testwerkzeug (212 Zeilen) fuer einen externen \"Momentum\"-Analyse-Dienst: Nutzer traegt einen JWT-Token und ein Aktiensymbol ein, die Seite ruft einen externen Endpunkt auf und rendert die Antwort als rohes JSON plus (falls vorhanden) einen Candlestick-Chart via Google Charts.",
        "elevator_pitch": "Ein Entwickler-/QA-Werkzeug zum manuellen Testen der eigenen \"Momentum-API\" — kein Endnutzer-Produkt, sondern ein Debugging-Frontend.",
        "target_audience": "Interne Entwickler/Tester des Momentum-Backends.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/api-momentum1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0156",
        "title": "broker-ai-neural-pro — BROKER AI NEURAL PRO / Trend Rider Deluxe",
        "project": "broker-ai-neural-pro",
        "category": "unbekannt (Einzeltool, Zwilling: broker-ai-neural-pro-og2)",
        "cluster": "unbekannt (Einzeltool, Zwilling: broker-ai-neural-pro-og2)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN",
          "Bootstrap Icons",
          "TradingView Lightweight Charts",
          "Vanilla JS",
          "Fetch API",
          "externer EOD-Proxy"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "signal-generator",
          "rsi",
          "macd",
          "candlestick-chart"
        ],
        "status": "prototype",
        "overview": "Ein Cyberpunk-gestyltes Trading-Dashboard (37 KB) mit SMA-Crossover-Signalgenerator in drei Modi (Safe Cross / Trend Rider / Hybrid Neural), Candlestick-/Linien-Charts via TradingView Lightweight Charts, client-seitiger RSI(14)- und MACD(12,26,9)-Berechnung, Positionsgroessen-/Risiko-Rechner sowie CSV/JSON-Export der generierten Signale.",
        "elevator_pitch": "Ein \"KI-neuronal\" vermarktetes, aber tatsaechlich regelbasiertes SMA-Crossover-Signaltool mit professionellem Glassmorphism/Neon-Look.",
        "target_audience": "Retail-Trader, die visuell ansprechende technische Signale (statt reiner Rohdaten) suchen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/broker-ai-neural-pro/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0157",
        "title": "broker-ai-neural-pro — BROKER AI NEURAL PRO",
        "project": "broker-ai-neural-pro-og2",
        "category": "Domvs-Avrea/Finanzanalyse-Tools",
        "cluster": "Domvs-Avrea/Finanzanalyse-Tools",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Bootstrap Icons",
          "Lightweight Charts"
        ],
        "tags": [
          "handelsanalyse",
          "technische-indikatoren",
          "trading",
          "ai-tools"
        ],
        "status": "prototype",
        "overview": "Die Webapp BROKER AI NEURAL PRO bietet eine Plattform zur Analyse von Handelsdaten mit verschiedenen Modi (Safe Cross, Hybrid Neural, Trend Rider) und zeigt technische Indikatoren wie SMA und RSI an.",
        "elevator_pitch": "Eine umfassende Handelsanalyse-Plattform für Trader.",
        "target_audience": "Trader und Investoren, die technische Analysen durchführen möchten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/broker-ai-neural-pro-og2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0158",
        "title": "cfd2 — CFD Handel Rechner",
        "project": "cfd2",
        "category": "unbekannt (Einzeltool)",
        "cluster": "unbekannt (Einzeltool)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS"
        ],
        "tags": [
          "fintech",
          "cfd",
          "calculator",
          "margin-rechner"
        ],
        "status": "prototype",
        "overview": "Ein winziger (178 Zeilen), reiner Rechner fuer CFD-Preis und Margin: Nutzer gibt Basiswert (Euro) und Stueckzahl ein, die Seite berechnet Geld-/Briefkurs (Spread 5%), CFD-Mittelpreis und die erforderliche Margin (10% Margin-Anforderung).",
        "elevator_pitch": "Ein simpler didaktischer CFD-Margin-Rechner — kein Live-Marktdaten-Tool, reine Formel-Demo.",
        "target_audience": "Einsteiger, die verstehen wollen, wie sich Spread und Margin bei CFDs rechnerisch zusammensetzen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/cfd2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0159",
        "title": "claude12index1 — Trading Intelligence Platform",
        "project": "claude12index1",
        "category": "Le MARCHÉ AI",
        "cluster": "Le MARCHÉ AI",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Google Fonts Roboto",
          "Orbitron"
        ],
        "tags": [
          "trading",
          "KI",
          "marktanalyse",
          "fintech",
          "institutionelle trader"
        ],
        "status": "prototype",
        "overview": "Die Seite bietet eine KI-gestützte Plattform für Marktanalysen und automatisierte Handelsstrategien, die sich an institutionelle und professionelle Trader richtet.",
        "elevator_pitch": "Eine umfassende Trading-Intelligenz-Plattform, die KI-gestützte Marktanalysen und automatisierte Handelsstrategien bereitstellt.",
        "target_audience": "Institutionelle und professionelle Trader.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/claude12index1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0160",
        "title": "coba-core-liquidity-engine — COBA CORE // Liquidity Engine v6.1 LIVE",
        "project": "coba-core-liquidity-engine",
        "category": "COBA-CORE-Terminal-Familie",
        "cluster": "COBA-CORE-Terminal-Familie",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5 CDN",
          "Chart.js CDN",
          "html2pdf.js",
          "Google Fonts Orbitron/Inter",
          "Vanilla JS",
          "Fetch API",
          "externer EOD-Proxy + eodhd.com"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "commerzbank-branding",
          "portfolio",
          "multi-tab",
          "pdf-export"
        ],
        "status": "prototype",
        "overview": "Ein grosses (170 KB), Commerzbank-anmutendes Finanz-Terminal mit sieben Tabs (Portfolio, Stocks, Bonds, Yields & Dividends, Risk Analytics, Currency Risk, Performance/Benchmark), Live-/Historien-Kursdaten ueber einen EOD-Proxy sowie eodhd.com-Forex-Daten, Dark/Light-Mode-Umschaltung und vierfachem Export (CSV/JSON/HTML/PDF).",
        "elevator_pitch": "Ein White-Label-\"Bankterminal\" im Corporate-Design von Commerzbank (Gelb/Anthrazit), das Portfolio-Uebersicht, Aktien-/Anleihen-Analyse, Dividendenrenditen, Risiko- und Waehrungskennzahlen sowie Performance-Benchmarking in einer einzigen Oberflaeche buendelt.",
        "target_audience": "Bank-/Vermoegensberatungs-Demo-Kontext (COBA = Commerzbank-Kuerzel), interne Praesentationen oder Pitch-Prototyp fuer ein Kundenportal.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/coba-core-liquidity-engine/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0161",
        "title": "coba-core-real-estate-quant-rsi-v13 — COBA CORE // EOD Quant Engine & Real Estate Terminal (v1.3)",
        "project": "coba-core-real-estate-quant-rsi-v13",
        "category": "COBA-CORE-Terminal-Familie",
        "cluster": "COBA-CORE-Terminal-Familie",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2 CDN",
          "Chart.js 4.4.1 CDN",
          "html2pdf.js CDN",
          "Google Fonts Orbitron/Inter",
          "Vanilla JS",
          "Fetch API",
          "externer EOD-Proxy"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "real-estate",
          "reit",
          "rsi",
          "commerzbank-branding",
          "pdf-export"
        ],
        "status": "prototype",
        "overview": "Ein Immobilien-fokussiertes Quant-Terminal im Commerzbank-anmutenden Corporate-Design (Gelb/Anthrazit): trackt ein gleichgewichtetes Pool-Portfolio aus REIT-/Immobilienaktien (US-REITs, EU-Sektorfuehrer, deutsche Wohnen/Gewerbe/REITs, Pfandbriefbanken) als indexierten Performance-Chart, ergaenzt um SMA, RSI-Oszillator, Volatilitaets-/Max-Drawdown-KPIs und HTML/PDF-Report-Export.",
        "elevator_pitch": "Ein spezialisiertes \"Immobilien-Aktien-Terminal\" mit Quant-Kennzahlen (RSI, SMA, Volatilitaet, Max-Drawdown) statt reiner Kurslisten, im Look eines professionellen Bank-Terminals.",
        "target_audience": "Immobilien-/REIT-fokussierte Anleger, Demo-/Pitch-Kontext im Bank-Branding (COBA = Commerzbank-Kuerzel).",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/coba-core-real-estate-quant-rsi-v13/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0162",
        "title": "coba-core-real-estate-quant-rsi-v14 — COBA CORE // EOD Quant Engine & Real Estate Terminal (v1.4)",
        "project": "coba-core-real-estate-quant-rsi-v14",
        "category": "COBA-CORE-Terminal-Familie",
        "cluster": "COBA-CORE-Terminal-Familie",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2 CDN",
          "Chart.js 4.4.1 CDN mit Custom-Zonen-Plugin",
          "Google Fonts Orbitron/Inter",
          "Vanilla JS",
          "Fetch API",
          "externer EOD-Proxy",
          "window.print()"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "real-estate",
          "reit",
          "rsi",
          "commerzbank-branding",
          "print-export"
        ],
        "status": "prototype",
        "overview": "Weiterentwickelte Version von `coba-core-real-estate-quant-rsi-v13`: gleiches Immobilien-Quant-Terminal-Konzept, aber mit farbig segmentiertem RSI-Chart (gruen/rot je nach Ueberkauft-/Ueberverkauft-Zone via Custom-Chart.js-Plugin), einer Zeitrahmen-Auswahl (1M-5Y) und einem \"Target Timing Band\" im Chart. Reduzierte Watchlist auf 5 statt 10 Presets. PDF-Export erfolgt hier ueber `window.print()` statt html2pdf.js.",
        "elevator_pitch": "Die verbesserte Ausgabe des COBA-CORE-Immobilienterminals mit visuell klarerer RSI-Zonen-Darstellung und flexiblerer Zeitrahmen-Auswahl.",
        "target_audience": "Wie v1.3 — Immobilien-/REIT-fokussierte Anleger im Bank-Terminal-Kontext.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/coba-core-real-estate-quant-rsi-v14/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0163",
        "title": "coba-core-rsi-multitimeframe-radar — COBA CORE // RSI Multi-Timeframe Radar & Chart Terminal",
        "project": "coba-core-rsi-multitimeframe-radar",
        "category": "COBA-CORE-Terminal-Familie",
        "cluster": "COBA-CORE-Terminal-Familie",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2 CDN",
          "Chart.js 4.4.1 CDN",
          "Google Fonts Orbitron/Inter",
          "Vanilla JS",
          "Fetch API",
          "externer EOD-Proxy"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "rsi",
          "multi-asset-radar",
          "alerts",
          "commerzbank-branding"
        ],
        "status": "prototype",
        "overview": "Ein RSI-Alert-Radar, das gleichzeitig eine Liste von Assets scannt: zeigt pro Symbol den aktuellen RSI-Wert und ein daraus abgeleitetes Kauf-/Verkaufs-/Akkumulieren-Signal in einer farbcodierten Tabelle mit Filterbuttons, plus eine Chart-Detailansicht fuer ausgewaehlte Symbole. Anders als die Real-Estate-Terminals (Einzelportfolio-Pool) ist dies ein eigenstaendiges \"Radar\"-Konzept fuer Multi-Asset-Ueberwachung.",
        "elevator_pitch": "Ein RSI-Screener, der auf einen Blick zeigt, welche von mehreren beobachteten Assets gerade kauf-, verkaufs- oder akkumulierreif sind — statt einzeln jeden Chart pruefen zu muessen.",
        "target_audience": "Trader, die mehrere Assets/Sektoren parallel auf RSI-basierte Signale ueberwachen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/coba-core-rsi-multitimeframe-radar/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0164",
        "title": "coba-live-engine — COBA CORE Liquidity Engine v6.1 LIVE",
        "project": "coba-live-engine",
        "category": "Domvs-Avrea/Finanzmanagement",
        "cluster": "Domvs-Avrea/Finanzmanagement",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2",
          "Chart.js 4.4.1",
          "html2pdf.js 0.10.1"
        ],
        "tags": [
          "portfolio-management",
          "live-data",
          "risk-analysis",
          "financial-tools"
        ],
        "status": "prototype",
        "overview": "Die COBA CORE Liquidity Engine ist eine Web-App zur Verwaltung und Analyse von Finanzportfolios. Sie bietet Live-Daten, Exportmöglichkeiten in verschiedene Formate und Risikoanalysen.",
        "elevator_pitch": "Eine umfassende Lösung zur Verwaltung von Aktien- und Anleihenportfolios mit Echtzeitdaten.",
        "target_audience": "Investoren und Finanzmanager.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/coba-live-engine/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0165",
        "title": "consuldaily1 — CONSULTUS APP Daily (CONSULDAILY1)",
        "project": "consuldaily1",
        "category": "CONSULTUS-APP-Familie",
        "cluster": "CONSULTUS-APP-Familie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4.5.2 CDN",
          "jQuery 3.5.1 slim",
          "Popper.js",
          "Vanilla JS",
          "Fetch API",
          "eodhistoricaldata.com"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "position-sizing",
          "eodhd",
          "single-file"
        ],
        "status": "prototype",
        "overview": "Ein schlichtes Bootstrap-4-Formular (\"CONSULTUS APP Daily\"), das fuer eine kommagetrennte Liste von Aktien-Symbolen die letzten 3 Handelstage per EOD-API abruft, daraus LONG/SHORT-Spannen und ein Kursrisiko berechnet und anhand von Kontostand + 1%-Risikoregel eine empfohlene Stueckzahl (Positionsgroesse) errechnet.",
        "elevator_pitch": "Ein minimalistischer Positionsgroessen-Rechner fuer Trader nach der klassischen \"1%-Risiko-pro-Trade\"-Regel.",
        "target_audience": "Einzelanleger/Trader, die Positionsgroessen manuell nach Risikoregeln bestimmen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consuldaily1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0166",
        "title": "consulexecuteddax — OPEN TRADING Dax Performance (CONSULEXECUTEDDAX)",
        "project": "consulexecuteddax",
        "category": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
        "cluster": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4.5.2 CDN",
          "Vanilla JS",
          "Fetch API",
          "eodhistoricaldata.com"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "dax",
          "breakout-tracker",
          "eodhd",
          "neon-ui"
        ],
        "status": "prototype",
        "overview": "Ein automatischer DAX-Breakout-Tracker im Neon-Cyan-Dark-Theme: laedt beim Laden der Seite fuer alle 37 DAX-Werte (XETRA) die letzten drei Freitags-Schlusskurse, berechnet daraus eine LONG/SHORT-Spanne und zeigt nur Werte an, deren aktueller Schlusskurs diese Spanne durchbrochen hat (\"Executed\"), inklusive geschaetztem Euro-Gewinn bei fiktiver 1000-Stueck-Position.",
        "elevator_pitch": "Ein automatischer \"Breakout-Scanner\" fuer den gesamten DAX, der nur die Aktien anzeigt, die eine vordefinierte Kursspanne bereits durchbrochen haben — inklusive simuliertem Euro-Gewinn.",
        "target_audience": "DAX-Trader, die taeglich/woechentlich nach ausgeloesten Breakout-Setups screenen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consulexecuteddax/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0167",
        "title": "consulopendax — OPEN TRADING German Dax Performance (CONSULOPENDAX)",
        "project": "consulopendax",
        "category": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
        "cluster": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4.5.2 CDN",
          "Vanilla JS",
          "Fetch API",
          "eodhistoricaldata.com"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "dax",
          "breakout-tracker",
          "eodhd",
          "neon-ui"
        ],
        "status": "prototype",
        "overview": "Nahezu identischer Code wie `consulexecuteddax` (gleicher DAX-Breakout-Scanner, gleiche 37 XETRA-Ticker, gleiche Neon-Cyan-Optik), einzige Unterschiede: Ueberschrift lautet \"OPEN TRADING German Dax PERFORMANCE\" statt \"...Dax PERFORMANCE\", und die Kurswerte werden vor dem Vergleich explizit mit `parseFloat()` in Zahlen umgewandelt (im Gegensatz zu `consulexecuteddax`, wo teils String-Vergleiche stattfinden).",
        "elevator_pitch": "Automatischer Breakout-Scanner fuer den gesamten DAX, funktional identisch zu `consulexecuteddax`.",
        "target_audience": "DAX-Trader, die nach ausgeloesten Breakout-Setups screenen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consulopendax/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0168",
        "title": "consulopendow — OPEN TRADING Dow Jones Performance (CONSULOPENDOW)",
        "project": "consulopendow",
        "category": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
        "cluster": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4.5.2 CDN",
          "Vanilla JS",
          "Fetch API",
          "eodhistoricaldata.com"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "dow-jones",
          "breakout-tracker",
          "eodhd",
          "neon-ui"
        ],
        "status": "prototype",
        "overview": "Dieselbe Breakout-Scanner-Logik wie `consulopendax`/`consulexecuteddax`, aber fuer die 30 Dow-Jones-Werte (US-Ticker wie AAPL, BA, CAT, CVX, IBM, JPM, MSFT, DIS) statt DAX, mit US-Dollar statt Euro als Gewinnwaehrungs-Label (\"$$$ PROFIT\" statt \"€URO PROFIT\").",
        "elevator_pitch": "Automatischer Breakout-Scanner fuer den gesamten Dow Jones Industrial Average.",
        "target_audience": "US-Aktien-Trader, die den Dow nach ausgeloesten Breakout-Setups screenen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consulopendow/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0169",
        "title": "consultusexedow — OPEN TRADING Dow Jones Performance (CONSULTUSEXEDOW, \"Executed\"-Variante)",
        "project": "consultusexedow",
        "category": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
        "cluster": "CONSULTUS-APP-Familie (OPEN-TRADING-Serie)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4.5.2 CDN",
          "Vanilla JS",
          "Fetch API",
          "eodhistoricaldata.com"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "dow-jones",
          "breakout-tracker",
          "eodhd",
          "neon-ui"
        ],
        "status": "prototype",
        "overview": "Vierter und letzter Zwilling der \"OPEN TRADING\"-Scanner-Serie: identisch zu `consulopendow` (Dow-Jones-Breakout-Scan mit 30 Werten), mit zwei kleinen Abweichungen: die Ticker-Liste enthaelt einen zusaetzlichen (vermutlich fehlerhaften) Eintrag `'CCC3'` neben den regulaeren 30 Dow-Werten, und die Risiko-/Performance-/Gewinn-Werte werden mit explizitem `€`-Suffix formatiert statt reiner Zahl — trotz Dow-Jones-/USD-Kontext ein Copy-Paste-Ueberrest aus der DAX-Variante.",
        "elevator_pitch": "Automatischer Breakout-Scanner fuer den Dow Jones, funktional wie `consulopendow`, aber mit sichtbaren Copy-Paste-Bugs (Euro-Symbol statt Dollar, ein zusaetzliches ungueltiges Ticker-Kuerzel).",
        "target_audience": "US-Aktien-Trader (wie `consulopendow`).",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consultusexedow/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0170",
        "title": "consulweekly1 — CONSULTUS APP Weekly (CONSULWEEKLY1)",
        "project": "consulweekly1",
        "category": "CONSULTUS-APP-Familie",
        "cluster": "CONSULTUS-APP-Familie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4.5.2 CDN",
          "jQuery 3.5.1 slim",
          "Popper.js",
          "Vanilla JS",
          "Fetch API",
          "eodhistoricaldata.com"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "position-sizing",
          "eodhd",
          "weekly-candles",
          "single-file"
        ],
        "status": "prototype",
        "overview": "Fast-identisches Geschwister von `consuldaily1`, aber auf **Freitags-Schlusskurse** (Wochenkerzen) statt Tagesdaten ausgelegt: filtert aus den EOD-Daten die letzten drei Freitage heraus und wendet dieselbe GO/NO-Positionsgroessen-Logik an.",
        "elevator_pitch": "Positionsgroessen-Rechner wie `consuldaily1`, aber fuer Trader mit wochenbasiertem statt taeglichem Handelsrhythmus.",
        "target_audience": "Swing-Trader, die auf Wochenbasis statt taeglich entscheiden.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/consulweekly1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0171",
        "title": "crmsafeeod7 — Genitus Financial Analytics",
        "project": "crmsafeeod7",
        "category": "Genitus Financial Analytics",
        "cluster": "Genitus Financial Analytics",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Google Charts"
        ],
        "tags": [
          "finanzanalyse",
          "aktienanalyse",
          "real-time",
          "AI",
          "chart-visualisierung"
        ],
        "status": "prototype",
        "overview": "Genitus Financial Analytics ist eine Web-App, die es Benutzern ermöglicht, Aktienkurse zu visualisieren und AI-gestützte Analysen durchzuführen. Die App bietet eine benutzerfreundliche Oberfläche zur Analyse von Finanzdaten in Echtzeit.",
        "elevator_pitch": "Echtzeitanalyse von Finanzdaten mit AI-gestützten Funktionen.",
        "target_audience": "Investoren und Finanzanalysten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/crmsafeeod7/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0172",
        "title": "crmsafeexcel5 — Orbitron Calculator Suite",
        "project": "crmsafeexcel5",
        "category": "Orbitron Calculator Suite",
        "cluster": "Orbitron Calculator Suite",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre.css",
          "Google Fonts Orbitron",
          "Inter"
        ],
        "tags": [
          "business-calculator",
          "financial-tools",
          "entrepreneur",
          "self-employed"
        ],
        "status": "prototype",
        "overview": "Die Orbitron Calculator Suite ist eine All-in-One-Business-App für Unternehmer und Selbstständige, die verschiedene Finanz- und Geschäftsrechner bietet. Die Benutzer können Stundensätze, Break-Even-Punkte, Gewinne und Steuerlasten berechnen.",
        "elevator_pitch": "Eine umfassende Suite von Finanzrechnern für Unternehmer.",
        "target_audience": "Selbstständige und Unternehmer.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/crmsafeexcel5/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0173",
        "title": "daniel2 — Echtzeit Aktieninformationen und Handelsempfehlungen",
        "project": "daniel2",
        "category": "Domvs-Avrea/Finanzanalysetools",
        "cluster": "Domvs-Avrea/Finanzanalysetools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.1.1",
          "JavaScript"
        ],
        "tags": [
          "aktienhandel",
          "finanzanalyse",
          "handelsempfehlungen",
          "realtime-data"
        ],
        "status": "prototype",
        "overview": "Webanwendung, die Echtzeit-Aktieninformationen und Handelsempfehlungen bereitstellt. Sie nutzt eine Proxy-API, um Daten von einem Backend-Server abzurufen und analysiert diese für Handelsstrategien.",
        "elevator_pitch": "Bietet Investoren Echtzeit-Daten und strategische Handelsempfehlungen.",
        "target_audience": "Investoren und Trader.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/daniel2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0174",
        "title": "domvs-avrea-fund-tracker — DOMVS AVREA Fund Tracker",
        "project": "domvs-avrea-fund-tracker",
        "category": "Domvs-Avrea-Genitus-Markenfamilie",
        "cluster": "Domvs-Avrea-Genitus-Markenfamilie",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Chart.js 4.4.1 CDN",
          "Google Fonts Orbitron",
          "Fetch API",
          "externer EOD-Proxy"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "fund-tracker",
          "themenkoerbe",
          "neon-ui",
          "dax",
          "crypto"
        ],
        "status": "prototype",
        "overview": "Ein Neon-Cyber-Terminal (\"DOMVS AVREA — Fund Tracker\"), das 9 selbst zusammengestellte Themen-Koerbe (u.a. Crypto Best 5, DAX Blue Chip, DAX Dividend Elite, Crypto Expansion, DAX Top 40, Dow Jones 30, USA Tech, Tesla, Netflix) als auf 100 indexierte Performance-Charts seit Emission darstellt, mit umschaltbaren Zeitfenstern (3M/6M/1Y/ALL).",
        "elevator_pitch": "Ein \"Fonds-Tracker\" fuer selbst kuratierte Themenkoerbe statt echter Fonds — zeigt normalisierte (Basis 100) Performance-Verlaeufe fuer 9 verschiedene Anlage-Themen von Krypto bis DAX bis Einzelaktien.",
        "target_audience": "Anleger, die thematische Multi-Asset-Koerbe statt Einzeltiteln verfolgen wollen; Teil des groesseren \"Domvs Avrea\"/Genitus-Markenoekosystems.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/domvs-avrea-fund-tracker/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0175",
        "title": "dvag-celestiao6 — DVAG-CelestiaO6 Finanzberater-Portal",
        "project": "dvag-celestiao6",
        "category": "DVAG Finanzberater-Portal",
        "cluster": "DVAG Finanzberater-Portal",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Font Awesome 6.0.0",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "finanzberater",
          "dvag",
          "celestiaos",
          "zugriffstoken",
          "finanztools"
        ],
        "status": "prototype",
        "overview": "Das DVAG-CelestiaO6 ist ein Finanzberater-Portal, das mit einem Zugriffstoken geschützt ist und verschiedene Funktionen für Finanzberater bietet. Die Seite nutzt ein modernes Design und bietet eine benutzerfreundliche Oberfläche.",
        "elevator_pitch": "Ein sicheres Portal für Finanzberater, um auf wichtige Tools und Informationen zuzugreifen.",
        "target_audience": "Finanzberater und DVAG-Mitarbeiter.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-celestiao6/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0176",
        "title": "dvag-celestiao7-tradingplan8 — Fun & Profit Trading Terminal",
        "project": "dvag-celestiao7-tradingplan8",
        "category": "unbekannt (Fun-Trading-Terminal-Einzelstueck)",
        "cluster": "unbekannt (Fun-Trading-Terminal-Einzelstueck)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN",
          "Chart.js 4.4.0 + date-fns-Adapter + chartjs-chart-financial",
          "Google Fonts Orbitron/Inter",
          "Vanilla JS"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "trading-plan",
          "checklist",
          "risk-meter",
          "candlestick"
        ],
        "status": "prototype",
        "overview": "Ein dunkel gestaltetes Trading-Terminal (\"Fun & Profit Trading Terminal\") mit Glassmorphism-Karten, Candlestick-Chart-Unterstuetzung (chartjs-chart-financial-Plugin), Trading-Setup-Karten mit Tags/Risiko-Meter und interaktiven Checklisten-Items — passt trotz des Dateinamen-Bestandteils \"DVAG-CelestiaO7-tradingplan8\" inhaltlich tatsaechlich zu einem Trading-Tool (im Gegensatz zu den gleichnamigen `-claude2`/`-lecode*`-Geschwistern, die generische KI-Chatbots sind).",
        "elevator_pitch": "Ein spielerisch benanntes, aber funktional ernstzunehmendes Trading-Terminal mit Setup-Checklisten und visuellem Risiko-Meter statt reiner Kurslisten.",
        "target_audience": "Trader, die strukturierte Setup-Checklisten (Entry-Kriterien abhaken) mit Candlestick-Charting kombinieren wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-celestiao7-tradingplan8/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0177",
        "title": "dvag-os-1-1 — DVAG OS 1.1 Financial Advisor Portal",
        "project": "dvag-os-1-1",
        "category": "Domvs-Avrea/DVAG-Ökosystem",
        "cluster": "Domvs-Avrea/DVAG-Ökosystem",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome",
          "Google Fonts"
        ],
        "tags": [
          "finanzberatung",
          "portal",
          "DVAG",
          "tools",
          "training"
        ],
        "status": "live",
        "overview": "Das DVAG OS 1.1 ist ein interaktives Portal für Finanzberater, das Zugriff auf Präsentationen, Produktinformationen, Provisionen, Schulungen und Tests bietet.",
        "elevator_pitch": "Ein umfassendes Portal für Finanzberater, das alle notwendigen Ressourcen bündelt.",
        "target_audience": "Finanzberater und Vertriebsmitarbeiter.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-os-1-1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0178",
        "title": "dvag-rentenplaner6 — Offlinefähiger Rentenplaner",
        "project": "dvag-rentenplaner6",
        "category": "DVAG Rentenplanung",
        "cluster": "DVAG Rentenplanung",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Chart.js",
          "CSS"
        ],
        "tags": [
          "rentenplaner",
          "finanzplanung",
          "offline-tool",
          "rentenlücke"
        ],
        "status": "prototype",
        "overview": "Ein einfacher, offline-fähiger Rentenplaner, der Rentenlücken berechnet, Wunschrenten erstellt und Sparziele zeigt. Die Anwendung ist benutzerfreundlich und verzichtet auf komplexe Fachbegriffe.",
        "elevator_pitch": "Ein unkomplizierter Rentenplaner für die schnelle Finanzplanung.",
        "target_audience": "Privatpersonen, die ihre Rentenplanung optimieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-rentenplaner6/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0179",
        "title": "dvag-steurn-xtrackers — Xtrackers Terminal (Live Trading Dashboard)",
        "project": "dvag-steurn-xtrackers",
        "category": "Xtrackers-Terminal-Familie",
        "cluster": "Xtrackers-Terminal-Familie",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN",
          "Chart.js 4.4.1 + Luxon-Adapter + chartjs-chart-financial",
          "Google Fonts Orbitron/Roboto Mono/Inter",
          "Vanilla JS"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "xtrackers",
          "etf",
          "live-dashboard",
          "neon-ui",
          "candlestick"
        ],
        "status": "prototype",
        "overview": "Ein Neon-Amber/Cyan-gestaltetes \"Xtrackers Terminal - Live Trading Dashboard\": Glassmorphism-Karten mit Neon-Glow-Animationen (pulsierender Amber- und Cyan-Text), Candlestick-faehiges Chart.js-Setup (Luxon-Zeitachsen-Adapter + Financial-Plugin) fuer ETF-/Xtrackers-Kursdarstellung.",
        "elevator_pitch": "Ein visuell aufwaendiges \"Live\"-Terminal fuer Xtrackers-ETFs mit Neon-Cyberpunk-Aesthetik statt nuechterner Bank-Optik.",
        "target_audience": "Anleger, die Xtrackers-ETF-Positionen (im DVAG-Steuer-/Beratungskontext, laut Dateiname) verfolgen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-steurn-xtrackers/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0180",
        "title": "dvag-steurn-xtrackers3 — Xtrackers Terminal (Live Trading Dashboard, defekter Export)",
        "project": "dvag-steurn-xtrackers3",
        "category": "Xtrackers-Terminal-Familie",
        "cluster": "Xtrackers-Terminal-Familie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN",
          "Chart.js 4.4.1 + Luxon-Adapter + chartjs-chart-financial",
          "Google Fonts Orbitron/Roboto Mono/Inter",
          "Vanilla JS"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "xtrackers",
          "etf",
          "live-dashboard",
          "neon-ui",
          "export-artefakt"
        ],
        "status": "prototype",
        "overview": "Inhaltlich identisch zu `dvag-steurn-xtrackers` (gleiches \"Xtrackers Terminal - Live Trading Dashboard\", gleiche Neon-Amber/Cyan-Optik, gleiche Chart.js/Luxon/Financial-Plugin-Kombination), jedoch mit einem auffaelligen Export-Fehler: die Datei beginnt mit einer literalen Zeile ` ```html ` und endet mit einer literalen ` ``` `-Zeile — ein Markdown-Codefence-Artefakt, das offenbar beim Export/Kopieren aus einem Chat-Tool (z.B. Claude/ChatGPT-Antwort) nicht entfernt wurde.",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dvag-steurn-xtrackers3/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0181",
        "title": "DWS-FUNDS — dws-generali-complete-funds-database (1)",
        "project": "dws-generali-complete-funds-database-1",
        "category": "DWS & GENERALI Fonds-Datenbank",
        "cluster": "DWS & GENERALI Fonds-Datenbank",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "JavaScript"
        ],
        "tags": [
          "investmentfonds",
          "dws",
          "generali",
          "fondsvergleich",
          "finanzdatenbank"
        ],
        "status": "prototype",
        "overview": "Die Anwendung bietet eine umfassende Datenbank von Investmentfonds von DWS & GENERALI mit ISIN, WKN, Ticker und Produktschlüssel für den Vergleich und die Suche. Nutzer können die Fonds über eine Suchfunktion filtern.",
        "elevator_pitch": "Eine zentrale Anlaufstelle für die Suche und den Vergleich von Investmentfonds.",
        "target_audience": "Investoren und Finanzinteressierte.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/dws-generali-complete-funds-database-1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0182",
        "title": "etf-manager — QUANT ETF TERMINAL v2.3",
        "project": "etf-manager",
        "category": "Domvs-Avrea/ETF-Management",
        "cluster": "Domvs-Avrea/ETF-Management",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "ETF-Analyse",
          "Finanzanalyse",
          "Performance-Metriken",
          "Investoren",
          "Finanzanalysten"
        ],
        "status": "prototype",
        "overview": "Der QUANT ETF TERMINAL v2.3 ist ein Analysetool, das Tracking Error, TER-Friction und andere Performance-Metriken für ETFs berechnet. Es richtet sich an Finanzanalysten und Investoren, die die Performance von ETFs optimieren möchten.",
        "elevator_pitch": "Ein umfassendes Analysetool zur Optimierung der ETF-Performance.",
        "target_audience": "Finanzanalysten und Investoren.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/etf-manager/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0183",
        "title": "fibo — Fibonacci Retracement Calculator",
        "project": "fibo",
        "category": "Domvs Avrea Trading-Tool-Familie",
        "cluster": "Domvs Avrea Trading-Tool-Familie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Spectre.css CDN",
          "Vanilla JS",
          "externes Script fibo.js"
        ],
        "tags": [
          "fibonacci",
          "trading-tool",
          "stock-analysis",
          "minimal-tool"
        ],
        "status": "prototype",
        "overview": "Ein minimalistisches Einzelfunktions-Tool: Nutzer gibt ein Aktien-Symbol ein, klickt \"Calculate\", und ein extern nachgeladenes Script (`fibo.js`, vermutlich auf `domusaurea.tech` gehostet) berechnet daraus die Fibonacci-Retracement-Level. Die eigentliche Berechnungslogik befindet sich nicht in dieser Datei.",
        "elevator_pitch": "Ein Ein-Klick-Fibonacci-Rechner fuer Trader, die klassische Retracement-Level ohne Excel oder TradingView-Zusatzindikator sehen wollen.",
        "target_audience": "Technische Trader, die mit Fibonacci-Retracements arbeiten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fibo/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0184",
        "title": "finapp — AI Spread System & AI Trading Systems",
        "project": "finapp",
        "category": "Domvs Avrea Trading-Tool-Familie",
        "cluster": "Domvs Avrea Trading-Tool-Familie",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre.css CDN",
          "Vanilla JS",
          "EOD Historical Data API"
        ],
        "tags": [
          "trading-tool",
          "spread-analysis",
          "hedging",
          "sma",
          "candlestick",
          "stock-analysis"
        ],
        "status": "prototype",
        "overview": "Ein zweigeteiltes Analyse-Tool (\"Aktienanalyse mit API-Anfragen\"): Oben ein \"AI Spread System\" fuer Daily-/Realtime-Spread-Analysen zwischen Aktie und Index; unten \"AI Trading Systems\" mit vier Analysemodi (Hedging-Analyse, Roof/Basement & SMA-Analyse, Candlestick-Analyse, Slim-Body-Candle-Analyse) je auf Basis eingegebener Aktiensymbole.",
        "elevator_pitch": "Ein Multi-Tool fuer technische Aktienanalyse — Spread-Vergleich gegen einen Index plus vier verschiedene Signal-/Muster-Erkennungen in einer Oberflaeche.",
        "target_audience": "Trader, die schnelle technische Checks (Hedging-Bedarf, SMA-Kreuzungen, Candlestick-Muster) ohne eigenes Terminal durchfuehren wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/finapp/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0185",
        "title": "finpower — Domvs Avrea AI Stock Analysis",
        "project": "finpower",
        "category": "Domvs Avrea Trading-Tool-Familie (AI Stock Analysis)",
        "cluster": "Domvs Avrea Trading-Tool-Familie (AI Stock Analysis)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5 CDN",
          "Chart.js CDN",
          "EOD Historical Data API"
        ],
        "tags": [
          "stock-analysis",
          "chart",
          "trading-tool",
          "multi-symbol"
        ],
        "status": "prototype",
        "overview": "Ein Multi-Symbol-Aktienchart-Tool: Nutzer gibt kommagetrennt mehrere Ticker ein (z.B. \"AAPL,GOOGL,MSFT\"), fuer jedes Symbol wird ein eigenes Chart.js-Liniendiagramm der Schlusskurse der letzten drei Monate erzeugt und untereinander dargestellt.",
        "elevator_pitch": "Mehrere Aktien auf einen Blick vergleichen — einfach Ticker eintippen, sofort Charts nebeneinander statt einzeln durch Finanzportale zu klicken.",
        "target_audience": "Privatanleger, die schnell mehrere Aktienkursverlaeufe vergleichen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/finpower/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0186",
        "title": "fintechmensis — FinTech Startup: Monthly Stock Analysis (InvestAI)",
        "project": "fintechmensis",
        "category": "Domvs Avrea Trading-Tool-Familie (AI Stock Analysis)",
        "cluster": "Domvs Avrea Trading-Tool-Familie (AI Stock Analysis)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5 CDN",
          "Chart.js CDN",
          "EOD Historical Data API"
        ],
        "tags": [
          "stock-analysis",
          "monthly-signal",
          "long-short",
          "trading-tool"
        ],
        "status": "prototype",
        "overview": "Ein monatliches Signal-Tool: Nutzer gibt ein einzelnes Aktiensymbol ein, das Script ermittelt automatisch den Schlusskurs des letzten Freitags des Vormonats als Pivot-Wert, vergleicht ihn mit dem aktuellsten Schlusskurs und gibt ein LONG/SHORT-Signal aus (gruen bei LONG, rot bei SHORT), begleitet von einem Kursverlaufs-Chart seit dem Pivot-Datum.",
        "elevator_pitch": "Ein simples Monats-Momentum-Signal — \"steht die Aktie hoeher oder tiefer als am letzten Freitag des Vormonats\" — als schnelle LONG/SHORT-Einschaetzung statt komplexer Indikatoren.",
        "target_audience": "Swing-Trader, die einen simplen monatlichen Trendfilter suchen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fintechmensis/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0187",
        "title": "forex — Quantum Fixed-Income & FX Quant Terminal",
        "project": "forex",
        "category": "Domvs-Avrea/Forex-Analyse",
        "cluster": "Domvs-Avrea/Forex-Analyse",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "forex",
          "quant-trading",
          "anleihenanalyse",
          "finanzdaten",
          "marktanalyse"
        ],
        "status": "prototype",
        "overview": "Die Web-App dient der Analyse von Anleihen und Währungsdaten, speziell für Investoren und Quant-Trader. Sie bietet eine umfassende Plattform zur Marktanalyse.",
        "elevator_pitch": "Ein leistungsstarkes Tool zur Analyse von Anleihen und Währungsdaten für professionelle Investoren.",
        "target_audience": "Investoren und Quant-Trader.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/forex/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0188",
        "title": "forex-fx-quant-terminal — Quantum Fixed-Income & FX Quant Terminal Core v4.1",
        "project": "forex-fx-quant-terminal",
        "category": "unbekannt (Quantum-Terminal-Einzelstueck)",
        "cluster": "unbekannt (Quantum-Terminal-Einzelstueck)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron/Rajdhani/Share Tech Mono",
          "CSV-Datei-Upload clientseitig",
          "Fetch API",
          "gemini-os.replit.app"
        ],
        "tags": [
          "fintech",
          "trading-tool",
          "forex",
          "fixed-income",
          "csv-upload",
          "hedge-strategie",
          "cyberpunk-ui"
        ],
        "status": "prototype",
        "overview": "Ein Cyberpunk-gestaltetes Terminal, in das Nutzer eigene `GBOND.csv`- und `FOREX.csv`-Dateien hochladen, aus denen die App FX-adjustierte Netto-Renditen, einen \"Trinity Three-Leg Hedge\" (Drei-Bein-Absicherungsstrategie) und eine Carry-vs-Term-Premium-Matrix berechnet, inklusive eines \"Flash-Inversion-Korrelationsradars\".",
        "elevator_pitch": "Ein Quant-Werkzeug fuer Fixed-Income/FX-Strategen, das eigene Anleihen-/Devisendaten per CSV-Upload einspeist und daraus automatisch Hedge-Strukturen und Renditevergleiche berechnet.",
        "target_audience": "Fortgeschrittene Anleger/Analysten mit eigenen Bond-/FX-Datensaetzen, die ueber reine Kursanzeige hinausgehende Kennzahlen (Carry, Term Premium, Hedge-Struktur) suchen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/forex-fx-quant-terminal/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0189",
        "title": "frankfurter-currency-converter — Währungsrechner (Frankfurter API)",
        "project": "frankfurter-currency-converter",
        "category": "unabhaengig (Standalone-Utility)",
        "cluster": "unabhaengig (Standalone-Utility)",
        "tier": "3",
        "rebuild_grade": "A",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Fetch API",
          "Frankfurter API"
        ],
        "tags": [
          "fintech",
          "currency-converter",
          "no-api-key",
          "light-dark-theme",
          "utility"
        ],
        "status": "production-ready",
        "overview": "Kompakter, sauberer Währungsrechner: Betrag eingeben, Von/Nach-Währung waehlen (Dropdown mit allen von der API gelieferten Waehrungen), Swap-Button, Live-Ergebnis plus 7-Tage-Kurshistorie fuer das gewaehlte Paar. Light/Dark-Theme per Button-Toggle.",
        "elevator_pitch": "Ein werbefreier, schlanker Waehrungsrechner ohne API-Key-Pflicht — nutzt die kostenlose EZB-Referenzkurs-API \"Frankfurter\".",
        "target_audience": "Reisende, kleine Unternehmen, jeder, der schnell ohne Tracking/Login umrechnen will.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/frankfurter-currency-converter/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0190",
        "title": "fun-profit-trading-os-final-10 — Handelsplattform für Finanzmärkte",
        "project": "fun-profit-trading-os-final-10",
        "category": "Finanzhandel/Trading-Plattformen",
        "cluster": "Finanzhandel/Trading-Plattformen",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome 6.0.0",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "trading-tools",
          "finanzanalyse",
          "marktmonitoring",
          "authentifizierung"
        ],
        "status": "prototype",
        "overview": "Die FUN & PROFIT TRADING OS ist eine geschützte Handelsplattform, die verschiedene Tools für den Handel, die Analyse und das Monitoring von Finanzmärkten bietet. Die Plattform erfordert eine Authentifizierung.",
        "elevator_pitch": "Eine umfassende Handelsplattform für Finanzmärkte mit Analyse- und Monitoring-Tools.",
        "target_audience": "Trader und Investoren.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fun-profit-trading-os-final-10/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0191",
        "title": "funandprofit — Finanz- und Handels-Tools",
        "project": "funandprofit",
        "category": "Domus-Aurea/Finanz-Tools",
        "cluster": "Domus-Aurea/Finanz-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "finanz-tools",
          "handels-tools",
          "api-authentifizierung"
        ],
        "status": "prototype",
        "overview": "FUN AND PROFIT ist eine Webanwendung zur Verwaltung und Nutzung von verschiedenen Finanz- und Handels-Tools. Sie bietet Zugang zu Anwendungen wie Depot, SENT, FREE, IMMO und anderen, die über Authentifizierung mit API-Schlüsseln oder Gastzugang genutzt werden können.",
        "elevator_pitch": "Eine zentrale Plattform für den Zugriff auf verschiedene Finanz- und Handelsanwendungen.",
        "target_audience": "Investoren und Händler, die mehrere Tools in einer Anwendung nutzen möchten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/funandprofit/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0192",
        "title": "fundament-open-bb — OPEN-BB Trading Suite",
        "project": "fundament-open-bb",
        "category": "OPEN-BB Trading Suite",
        "cluster": "OPEN-BB Trading Suite",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Google Fonts Fira Code",
          "Orbitron"
        ],
        "tags": [
          "trading-tools",
          "dashboard",
          "prop-trading",
          "financial-news",
          "risk-management"
        ],
        "status": "prototype",
        "overview": "Die OPEN-BB Trading Suite ist eine umfassende Sammlung von Trading-Tools und Dashboards, die Funktionen für Prop Trading, Risikomanagement, Momentum-Analyse und Finanznachrichten umfasst.",
        "elevator_pitch": "Eine zentrale Anlaufstelle für professionelle Trader mit einer Vielzahl von Tools.",
        "target_audience": "Professionelle Trader und Finanzanalysten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fundament-open-bb/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0193",
        "title": "fundament19 — CryptLive: Echtzeitdaten Kryptowaehrungen",
        "project": "fundament19",
        "category": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
        "cluster": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4",
          "Vanilla JS",
          "WebSocket",
          "EODHD API"
        ],
        "tags": [
          "fintech",
          "crypto",
          "websocket",
          "realtime-data",
          "eodhd",
          "api-key-exposed"
        ],
        "status": "prototype",
        "overview": "Einfache Ein-Seiten-App: Dropdown mit ~20 Krypto-Paaren (BTC-USD, ETH-USD, ADA-USD, ...), Buttons \"Daten abonnieren\"/\"Daten abbestellen\" oeffnen einen WebSocket zur EODHD-Crypto-Realtime-API und rendern pro abonniertem Symbol eine Live-Kachel mit Preis, Volumen und Tagesaenderung.",
        "elevator_pitch": "Minimalistischer Live-Krypto-Ticker als Proof-of-Concept fuer WebSocket-Streaming ohne eigenes Backend.",
        "target_audience": "Entwickler/Demo-Zwecke eher als Endnutzer-Produkt — sehr rohes UI ohne Charts oder Styling-Politur.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fundament19/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0194",
        "title": "fundament25 — ForexLive: Echtzeitdaten Forex",
        "project": "fundament25",
        "category": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
        "cluster": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4",
          "Vanilla JS",
          "WebSocket",
          "EODHD API"
        ],
        "tags": [
          "fintech",
          "forex",
          "websocket",
          "realtime-data",
          "eodhd",
          "api-key-exposed"
        ],
        "status": "prototype",
        "overview": "Forex-Pendant zu `fundament19`: Dropdown mit 20 Waehrungspaaren (EUR/USD, GBP/USD, USD/JPY, ...), Subscribe/Unsubscribe-Buttons oeffnen einen WebSocket zur EODHD-Forex-Realtime-API, Live-Kacheln zeigen Ask/Bid-Preis, Tagesaenderung und Zeitstempel je Paar.",
        "elevator_pitch": "Live-Forex-Ticker als schlanke WebSocket-Demo ohne eigenes Backend.",
        "target_audience": "Entwickler-Demo/Proof-of-Concept eher als polierte Endnutzer-App.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fundament25/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0195",
        "title": "fundament32 — StoxLive: Echtzeitdaten Aktien",
        "project": "fundament32",
        "category": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
        "cluster": "EODHD-WebSocket-Serie (CryptLive/ForexLive/StoxLive)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4",
          "Vanilla JS",
          "WebSocket",
          "EODHD API"
        ],
        "tags": [
          "fintech",
          "stocks",
          "websocket",
          "realtime-data",
          "eodhd",
          "api-key-exposed"
        ],
        "status": "prototype",
        "overview": "Aktien-Variante der EODHD-WebSocket-Serie: Dropdown mit 30 US-Standardwerten (Dow-Jones/NASDAQ-Mix: AAPL, MSFT, GOOGL, TSLA, NVDA ...) plus zusaetzliches Freitextfeld fuer beliebige Ticker-Symbole. Subscribe/Unsubscribe oeffnet einen WebSocket zur EODHD-US-Realtime-API und zeigt Live-Kacheln mit Preis, Bedingungen, Volumen, Dark-Pool-Flag und Marktstatus bzw. Ask/Bid bei Quote-Events.",
        "elevator_pitch": "Live-Aktienticker mit freier Symbol-Eingabe — nicht nur auf die vordefinierte Liste beschraenkt.",
        "target_audience": "Entwickler-Demo/Proof-of-Concept fuer WebSocket-Marktdaten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/fundament32/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0196",
        "title": "funds1 — Fonds-Tracking Web-App",
        "project": "funds1",
        "category": "Domvs-Avrea/Fonds-Tracking",
        "cluster": "Domvs-Avrea/Fonds-Tracking",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Chart.js",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "fonds",
          "kryptowaehrungen",
          "aktien",
          "performance-tracking",
          "domvs-avrea"
        ],
        "status": "prototype",
        "overview": "Die Web-App von DOMVS AVREA ermöglicht das Tracking von Fonds, die auf Kryptowährungen sowie deutschen und amerikanischen Aktien basieren. Sie zeigt historische Daten und Performance-Metriken für verschiedene Fonds an.",
        "elevator_pitch": "Eine leistungsstarke App zur Verfolgung von Fonds mit umfassenden Performance-Daten.",
        "target_audience": "Investoren und Fondsmanager.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/funds1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0197",
        "title": "futura3 — FUTUR1K: Future-Preis-Rechner",
        "project": "futura3",
        "category": "unabhaengig (Standalone-Rechner)",
        "cluster": "unabhaengig (Standalone-Rechner)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "keine externen Libraries"
        ],
        "tags": [
          "fintech",
          "futures",
          "cost-of-carry",
          "calculator",
          "dark-theme"
        ],
        "status": "prototype",
        "overview": "Einfacher Futures-Preisrechner nach dem \"Cost of Carry\"-Modell: aus Spotpreis, risikofreiem Zinssatz, Dividendenrendite, Lagerkosten und Laufzeit berechnet die Seite den theoretischen Future-Preis (`F = S * e^((r - y + c) * T)`), den Gesamtpreis fuer einen Kontrakt (1.000 Aktien) sowie die erforderliche Margin (20% des Gesamtpreises).",
        "elevator_pitch": "Ein-Formel-Rechner fuer den fairen Futures-Preis nach dem klassischen Cost-of-Carry-Modell, kein Live-Datenanschluss noetig.",
        "target_audience": "Finance-Studierende/Trading-Einsteiger, die die Futures-Bewertungsformel nachvollziehen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/futura3/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0198",
        "title": "g-bonds — Plattform zur Analyse von staatlichen Anleihen",
        "project": "g-bonds",
        "category": "Domvs-Avrea/Bond-Analysis-Tools",
        "cluster": "Domvs-Avrea/Bond-Analysis-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript"
        ],
        "tags": [
          "staatliche Anleihen",
          "Renditeanalyse",
          "Finanzanalyse",
          "Bond-Matrix"
        ],
        "status": "prototype",
        "overview": "Die Webapp bietet eine Plattform zur Berechnung und Visualisierung von Renditen, Spreads und anderen makroökonomischen Metriken für staatliche Anleihen. Sie ermöglicht eine detaillierte Analyse und Verarbeitung von Anleihendaten.",
        "elevator_pitch": "Eine umfassende Analyseplattform für staatliche Anleihen.",
        "target_audience": "Investoren, Finanzanalysten, Trader.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/g-bonds/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0199",
        "title": "g-bonds-alerts-fx-matrix — Quantum Fixed-Income & FX Matrix",
        "project": "g-bonds-alerts-fx-matrix",
        "category": "G-BONDS-Familie (Bond/FX-Terminal-Serie)",
        "cluster": "G-BONDS-Familie (Bond/FX-Terminal-Serie)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "CSV-Upload",
          "Google Fonts Orbitron/Rajdhani",
          "externer EOD-Proxy"
        ],
        "tags": [
          "fintech",
          "bonds",
          "forex",
          "alerts",
          "csv-upload",
          "terminal-log",
          "cyberpunk-ui"
        ],
        "status": "prototype",
        "overview": "Erweiterung des G-BONDS-Terminals um ein automatisiertes Entscheidungs-/Alert-System: drei Strategien (Alpha/Beta/Gamma) plus FX-Risk-Overlay erzeugen Long/Short/Hedge/Hold-Signal-Badges auf Basis von hochgeladenen GBOND- und FOREX-CSV-Daten, kombiniert mit Live-Kursen aus einem EOD-Proxy. Ein sichtbares Debug-Terminal-Log protokolliert jede API-Anfrage in Echtzeit.",
        "elevator_pitch": "Ein \"Production Layer v3.9\" gestyltes Cyberpunk-Terminal, das Anleihen- und FX-Daten kombiniert und automatisch handelbare Signale ausgibt.",
        "target_audience": "Quant-affine Trader, die Bond/FX-Korrelationen visuell und signalbasiert auswerten wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/g-bonds-alerts-fx-matrix/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0200",
        "title": "generali-investment-terminal — GENERALI Investment Terminal",
        "project": "generali-investment-terminal",
        "category": "FUNDS-Familie (Fonds-Analyse-Terminals)",
        "cluster": "FUNDS-Familie (Fonds-Analyse-Terminals)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Chart.js 3.9.1",
          "Google Fonts Orbitron/Roboto Mono",
          "externer EOD-Proxy"
        ],
        "tags": [
          "fintech",
          "funds",
          "isin",
          "sma-cross",
          "rsi",
          "volatility",
          "chart.js"
        ],
        "status": "prototype",
        "overview": "Fonds-Analyse-Terminal speziell fuer Generali-Fonds: ISIN-Dropdown mit ca. 30 Fonds, zeigt Live-Kurs, SMA20/50/200-Cross-Signale (Fast/Macro-Variante) mit Live-P&L, RSI, Volatilitaet sowie ein Chart mit Fahnen-Markierungen an den Signal-Einstiegspunkten.",
        "elevator_pitch": "Ein markenspezifisches Analyse-Terminal fuer die Generali-Fondspalette — SMA-Cross-Strategien mit visuellem Signal-Tracking direkt im Chart.",
        "target_audience": "Generali-Fondsanleger/Berater, die technische Signale (SMA-Crossovers) fuer ihre spezifische Fondsauswahl sehen wollen statt eines generischen Marktscreeners.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/generali-investment-terminal/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0201",
        "title": "genitus-ipo-scanner — GENITUS MAX ALL-TIME IPO Scanner",
        "project": "genitus-ipo-scanner",
        "category": "Genitus-Krypto-Serie (IPO Scanner/Signal Alerts)",
        "cluster": "Genitus-Krypto-Serie (IPO Scanner/Signal Alerts)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Google Fonts Orbitron/Share Tech Mono",
          "externer EOD-Proxy"
        ],
        "tags": [
          "fintech",
          "crypto",
          "ranking",
          "csv-export",
          "light-dark-theme",
          "genitus"
        ],
        "status": "prototype",
        "overview": "Scanner, der fuer rund 80 Kryptowaehrungen (unterteilt in Tiers \"Major/Core/Gems/Moonshots\") die Performance seit dem jeweils ersten verfuegbaren EOD-Kursdatum (\"IPO\") berechnet. Zeigt Top/Bottom-Performer-Ranking, sortierbare Gesamttabelle, CSV-Export und Light/Dark-Theme-Umschaltung.",
        "elevator_pitch": "\"Seit wann gibt es welche Kryptowaehrung eigentlich schon und wie hat sie sich seitdem entwickelt?\" — ein All-Time-Performance-Ranking ab dem jeweils fruehesten verfuegbaren Datenpunkt.",
        "target_audience": "Krypto-Investoren, die langfristige All-Time-Performance statt kurzfristiger Kursbewegungen vergleichen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/genitus-ipo-scanner/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0202",
        "title": "genitus-signal-alerts — GENITUS Signal Alerts",
        "project": "genitus-signal-alerts",
        "category": "Genitus-Krypto-Serie (IPO Scanner/Signal Alerts)",
        "cluster": "Genitus-Krypto-Serie (IPO Scanner/Signal Alerts)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Chart.js 4.4.4",
          "date-fns",
          "chartjs-adapter-date-fns",
          "Google Fonts Orbitron/Share Tech Mono"
        ],
        "tags": [
          "fintech",
          "crypto",
          "alerts",
          "chart.js",
          "light-dark-theme",
          "genitus",
          "accessibility"
        ],
        "status": "prototype",
        "overview": "Krypto-Signal-/Alert-Dashboard im Genitus-Design: zeigt Preis- und Signalverlaeufe als Zeitreihen-Charts (Chart.js mit date-fns-Zeitachsen-Adapter), responsiver Header mit Brand-Logo, Light/Dark-Theme-Umschaltung sowie sichtbare Accessibility-Massnahmen (Skip-Link, Focus-Outlines, `prefers-reduced-motion`-Handling).",
        "elevator_pitch": "Ein Alert-Dashboard, das Krypto-Preisbewegungen mit generierten Handelssignalen ueberlagert und zeitlich exakt darstellt (echte Datum-Zeitachse statt Kategorie-Achse).",
        "target_audience": "Krypto-Trader, die visuelle Signal-Bestaetigung im Kursverlauf statt reiner Tabellenwerte suchen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/genitus-signal-alerts/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0203",
        "title": "genitus-wertpapiere — GENITUS WERTPAPIERE",
        "project": "genitus-wertpapiere",
        "category": "Domvs-Avrea/Genussschein-Oekosystem",
        "cluster": "Domvs-Avrea/Genussschein-Oekosystem",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "wertpapiere",
          "investieren",
          "finanzprodukte",
          "akkreditierte-investoren"
        ],
        "status": "prototype",
        "overview": "Die Seite bietet eine Übersicht über 23 Wertpapiere in verschiedenen Tiers für akkreditierte Investoren, die unterschiedliche Risikoprofile und Renditezielen bedienen.",
        "elevator_pitch": "Eine Plattform für akkreditierte Investoren, um verschiedene Wertpapiere zu erkunden.",
        "target_audience": "Investoren, die an diversifizierten Finanzprodukten interessiert sind.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/genitus-wertpapiere/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0204",
        "title": "genitusfunds-1 — Interaktive Performance-Analyse für Genitus AI-gemanagte Fonds",
        "project": "genitusfunds-1",
        "category": "Genitus AI Funds",
        "cluster": "Genitus AI Funds",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Chart.js",
          "Font Awesome 6.4.0",
          "Google Fonts Inter",
          "Orbitron",
          "Rajdhani",
          "JetBrains Mono"
        ],
        "tags": [
          "AI-managed funds",
          "investment charts",
          "institutional investors",
          "real-time data",
          "performance metrics"
        ],
        "status": "prototype",
        "overview": "Die Webapp zeigt interaktive Charts zur Performance von Genitus AI-gemanagten Investmentfonds an, mit Echtzeit-Daten, Risikometriken und Vergleichsanalysen für institutionelle Investoren.",
        "elevator_pitch": "Interaktive Performance-Analyse für AI-gemanagte Fonds.",
        "target_audience": "Institutionelle Investoren.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/genitusfunds-1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0205",
        "title": "goldshield-ai-financial-intelligence — GoldShield AI Premium Financial Intelligence",
        "project": "goldshield-ai-financial-intelligence",
        "category": "GoldShield-Terminal-Familie",
        "cluster": "GoldShield-Terminal-Familie",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Chart.js",
          "Schema.org/JSON-LD SEO",
          "externer EOD-Proxy"
        ],
        "tags": [
          "fintech",
          "trading-dashboard",
          "technical-analysis",
          "seo-optimized",
          "genitus",
          "goldshield"
        ],
        "status": "production-ready",
        "overview": "Marketing-optimierte Trading-Dashboard-Landingpage der Marke \"GoldShield AI\" (Genitus Inc., CEO Daniel Gereci) mit Aktien-/REIT-Suche, technischen Charts (RSI, SMA, Bollinger Bands via Chart.js), einem KI-Sentiment-Score, Premium-Abo-Kacheln und Light/Dark/Neural-Theme-Umschaltung. Auffälligstes Merkmal: extrem umfangreiche SEO-/LLM-Crawler-Optimierung (Geo-Tags, Open Graph, JSON-LD `FinancialService`- und `FAQPage`-Schema) — die Seite ist erkennbar gezielt für Suchmaschinen- und KI-Such-Sichtbarkeit gebaut.",
        "elevator_pitch": "Eine KI-gestützte Finanzanalyse-Plattform mit technischen Standardindikatoren, die sich selbst aktiv als \"die\" Antwort auf Fragen wie \"What is GoldShield AI?\" gegenüber Suchmaschinen und LLMs positioniert.",
        "target_audience": "Trader/Investoren, die über Google/KI-Suchassistenten auf Fintech-Tools stossen; sekundär Presse/Partner, die über die FAQ-Struktur schnelle Fakten zum Unternehmen finden sollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-ai-financial-intelligence/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0206",
        "title": "goldshield-neural-core-terminal — GoldShield NEURAL Core Terminal",
        "project": "goldshield-neural-core-terminal",
        "category": "GoldShield-Robo-Advisor-Familie (GOLD-NEURAL/GOLD-VAULTY/GOLD-JUNGE)",
        "cluster": "GoldShield-Robo-Advisor-Familie (GOLD-NEURAL/GOLD-VAULTY/GOLD-JUNGE)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "TradingView Lightweight Charts 4.1.3",
          "marked.js",
          "PDF.js 3.11.174",
          "Google Fonts Orbitron/JetBrains Mono/Roboto"
        ],
        "tags": [
          "ai-chatbot",
          "financial-analyst",
          "trading-terminal",
          "goldshield",
          "anti-hallucination"
        ],
        "status": "prototype",
        "overview": "Vollbild-Chat-Terminal mit dem Robo-Advisor-Charakter \"LEO\" als strikt datengetreuer Financial Analyst: Der System-Prompt (laut README) enthält explizite Anti-Halluzinations-Regeln, die verlangen, dass Zahlenangaben exakt aus einem Live-Feed stammen müssen. Umfasst Momentum-/Quotes-Abfragen, Bild- und Datei-Upload-Tools sowie ein Kerzenchart-Modal (TradingView Lightweight Charts) mit ausführlichem Yahoo-kompatiblen Datenmapping aus einer EOD-API.",
        "elevator_pitch": "Ein Chat-Terminal im Bloomberg-Stil, das bewusst gegen KI-Halluzination gehärtet ist — Antworten sollen nur auf tatsächlich abgerufenen Marktdaten basieren, nicht auf Modellwissen.",
        "target_audience": "Trader/Analysten, die ein Gesprächsinterface für Marktdaten wollen, aber Vertrauen in Zahlengenauigkeit brauchen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-neural-core-terminal/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0207",
        "title": "goldshield-neural-financial-deep-core — GOLDSHIELD NEURAL Financial Deep_Core",
        "project": "goldshield-neural-financial-deep-core",
        "category": "GoldShield-Robo-Advisor-Familie (GOLD-NEURAL/GOLD-VAULTY/GOLD-JUNGE)",
        "cluster": "GoldShield-Robo-Advisor-Familie (GOLD-NEURAL/GOLD-VAULTY/GOLD-JUNGE)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "TradingView Lightweight Charts 4.1.3",
          "marked.js",
          "PDF.js 3.11.174",
          "Google Fonts Orbitron/Rajdhani/JetBrains Mono",
          "PWA-Meta-Tags"
        ],
        "tags": [
          "ai-chatbot",
          "mobile-first",
          "trading-strategy-panel",
          "dca",
          "health-score",
          "goldshield"
        ],
        "status": "prototype",
        "overview": "Mobile-optimierte Variante der GoldShield-Chat-Terminal-Familie mit einem ausklappbaren \"Trading Strategy\"-Panel: Auswahl von Zeithorizont (Intraday/Swing/Position/Yearlong), Investment-Stil (Sparplan/DCA/Lump-Sum/Dividend), ein DCA-Vergleichswerkzeug und ein \"Health-Score\"-Badge im Header. Enthält PWA-Meta-Tags (`apple-mobile-web-app-capable`), was auf eine gezielte Mobile-/Homescreen-Nutzung hindeutet.",
        "elevator_pitch": "Der \"Taschenrechner-Begleiter\" für Retail-Anleger, der neben dem Chat direkt eine Strategie-Konfiguration (Zeithorizont + Investment-Stil) anbietet.",
        "target_audience": "Mobile Nutzer/Kleinanleger, die eine App-ähnliche Erfahrung (Homescreen-Icon, Vollbild) statt einer klassischen Desktop-Website erwarten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-neural-financial-deep-core/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0208",
        "title": "goldshield-trading-ai-standalone — GoldShield Trading AI (Local Standalone)",
        "project": "goldshield-trading-ai-standalone",
        "category": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
        "cluster": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Font Awesome",
          "Google Fonts Playfair Display/Inter/IBM Plex Mono",
          "PDF.js",
          "marked.js",
          "DOMPurify",
          "OpenAI API",
          "Stripe"
        ],
        "tags": [
          "fintech",
          "ai-chatbot",
          "robo-advisor",
          "vision-ai",
          "pdf-analysis",
          "api-key-exposed",
          "stripe-paywall"
        ],
        "status": "prototype",
        "overview": "Lokaler KI-Finanzassistent-Chat \"DANIEL.AI\" mit Premium-Zugangssperre (Token-Eingabe + Stripe-Kaufbutton), der direkt vom Browser aus OpenAI GPT-4o/mini aufruft. Bietet Live-Kurse und Momentum-Analyse ueber einen oeffentlichen Marktdaten-Proxy, automatische Trading-Plan-Generierung, Bild-Vision-Analyse von Charts sowie PDF-/Datei-Analyse via PDF.js.",
        "elevator_pitch": "Ein Premium-Robo-Advisor-Chat im Bankhaus-Design (Navy/Gold), der Chartbilder per Vision-AI liest und automatisch Tradingplaene generiert.",
        "target_audience": "Trader/Anleger, die eine \"institutionell\" wirkende KI-Beratung als kostenpflichtiges Premium-Feature kaufen sollen (Stripe-Checkout).",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-trading-ai-standalone/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0209",
        "title": "goldshield-trading-ai-standalone-export — GoldShield Trading AI (GOLD-JUNGE Export)",
        "project": "goldshield-trading-ai-standalone-export",
        "category": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
        "cluster": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CDN",
          "Font Awesome",
          "Google Fonts Inter/Playfair Display",
          "marked.js",
          "PDF.js",
          "Mistral API",
          "Stripe"
        ],
        "tags": [
          "fintech",
          "ai-chatbot",
          "robo-advisor",
          "mistral-api",
          "ocr",
          "api-key-exposed",
          "stripe-paywall"
        ],
        "status": "prototype",
        "overview": "Eigenstaendige Robo-Advisor-Chat-App \"DANIEL.AI\" mit Momentum-Analyse (MMM), Live-Quotes, Bild-/Datei-OCR-Analyse ueber Mistral, Speichern/Download des Chatverlaufs sowie separaten Seiten fuer Analytics, Reports, Settings und Legal/Datenschutz. Premium-Zugang per Token-Eingabe oder Stripe-Kauf.",
        "elevator_pitch": "Erweiterte Variante des GoldShield-Robo-Advisors mit vollem \"App-Gefuehl\" (eigene Analytics-/Reports-/Settings-Unterseiten statt nur Chat).",
        "target_audience": "Zahlende Premium-Nutzer, die einen vollstaendigeren Funktionsumfang als die reine Standalone-Chat-Variante erwarten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-trading-ai-standalone-export/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0210",
        "title": "goldshield-trading-ai-standalone-v1 — GoldShield Trading AI (GOLD-JUNGE v1, mit Chart-Modal)",
        "project": "goldshield-trading-ai-standalone-v1",
        "category": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
        "cluster": "GoldShield/DANIEL.AI-Familie (Robo-Advisor-Serie)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CDN",
          "Font Awesome",
          "TradingView Lightweight Charts",
          "marked.js",
          "PDF.js",
          "Mistral API",
          "Stripe"
        ],
        "tags": [
          "fintech",
          "ai-chatbot",
          "robo-advisor",
          "tradingview-charts",
          "mistral-api",
          "api-key-exposed"
        ],
        "status": "prototype",
        "overview": "Weiterentwicklung von `goldshield-trading-ai-standalone-export`: identischer Robo-Advisor-Chat mit Momentum/Quotes/Bild-/Datei-Tools, zusaetzlich ein Candlestick/Line/Area-Chart-Modal auf Basis von TradingView Lightweight Charts inklusive Zeitraum- und Chart-Typ-Auswahl.",
        "elevator_pitch": "Dieselbe DANIEL.AI-Erfahrung wie die Export-Variante, jetzt mit einem professionellen TradingView-Chart direkt im Chat-Interface statt nur Text-Antworten.",
        "target_audience": "Trader, denen die reine Text-/Tabellen-Antwort der Export-Version nicht reicht und die visuelle Kursdiagramme direkt in der App sehen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/goldshield-trading-ai-standalone-v1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0211",
        "title": "HISTRY-BÖRSE — historische-boerse-v2 (2)",
        "project": "historische-boerse-v2-2",
        "category": "Finanzanalyse-Tools",
        "cluster": "Finanzanalyse-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Chart.js",
          "CSS"
        ],
        "tags": [
          "finanzmärkte",
          "historische analyse",
          "charting",
          "investoren",
          "marktbeobachtung"
        ],
        "status": "prototype",
        "overview": "Diese Webapp bietet eine umfassende Analyse der historischen Finanzmärkte von 1900 bis 2026, mit Fokus auf Bubbles, Crashs und Candlestick-Charts. Sie richtet sich an Finanzanalysten, Investoren und Marktbeobachter.",
        "elevator_pitch": "Eine interaktive Plattform zur Analyse historischer Finanzdaten.",
        "target_audience": "Finanzanalysten und Investoren.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/historische-boerse-v2-2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0212",
        "title": "indicator1 — EODHD Technical Indicators API Example",
        "project": "indicator1",
        "category": "EODHD-API-Beispiel-Serie",
        "cluster": "EODHD-API-Beispiel-Serie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4",
          "jQuery",
          "Popper.js",
          "EODHD Technical Indicators API"
        ],
        "tags": [
          "fintech",
          "technical-indicators",
          "sma",
          "rsi",
          "macd",
          "bollinger",
          "api-key-exposed"
        ],
        "status": "prototype",
        "overview": "Ein-Formular-Tool zum Abrufen technischer Indikatoren (SMA, EMA, WMA, Volatility, RSI, STDDEV, MACD, ATR, CCI, Parabolic SAR, Bollinger Bands) fuer ein beliebiges Symbol ueber die EODHD Technical-Indicators-API, Ergebnis als einfache Datum/Wert-Tabelle.",
        "elevator_pitch": "Ein direktes API-Beispiel/Testwerkzeug fuer die EODHD-Technical-Indicators-Schnittstelle — Symbol und Indikator waehlen, Zeitraum festlegen, Tabelle erhalten.",
        "target_audience": "Entwickler, die die EODHD-API evaluieren oder als Ausgangspunkt fuer eigene Indikator-Tools nutzen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/indicator1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0213",
        "title": "indicator4 — EODHD Intraday Historical Data API Example",
        "project": "indicator4",
        "category": "EODHD-API-Beispiel-Serie",
        "cluster": "EODHD-API-Beispiel-Serie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4",
          "jQuery",
          "Popper.js",
          "EODHD Intraday API"
        ],
        "tags": [
          "fintech",
          "intraday-data",
          "historical-data",
          "api-key-exposed"
        ],
        "status": "prototype",
        "overview": "Ein-Formular-Tool zum Abrufen historischer Intraday-Kursdaten (1-Minute/5-Minuten/1-Stunde-Aufloesung) fuer ein beliebiges Symbol ueber die EODHD Intraday-API, Ergebnis als Tabelle mit allen zurueckgegebenen Feldern (OHLC etc., ohne Timestamp/GMT-Offset-Spalten).",
        "elevator_pitch": "Direktes API-Beispiel fuer historische Intraday-Daten — Symbol, Intervall und Zeitraum waehlen, Rohdaten-Tabelle erhalten (neueste zuerst).",
        "target_audience": "Entwickler, die die EODHD-Intraday-API testen oder als Ausgangspunkt fuer eigene Backtesting-/Chart-Tools nutzen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/indicator4/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0214",
        "title": "infosys1wechselstube2 — FX Corporation Dashboard",
        "project": "infosys1wechselstube2",
        "category": "unabhaengig (Frankfurter-API-Variante)",
        "cluster": "unabhaengig (Frankfurter-API-Variante)",
        "tier": "3",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CDN",
          "Chart.js",
          "Vanilla JS",
          "Frankfurter API"
        ],
        "tags": [
          "fintech",
          "currency-converter",
          "chart",
          "no-api-key",
          "dark-theme"
        ],
        "status": "prototype",
        "overview": "Waehrungsrechner-Dashboard im dunklen Tailwind-Design: Betrag eingeben, Von-/Nach-Waehrung waehlen (dynamisch aus der Frankfurter API befuellt), sofortige Umrechnung, zusaetzlich eine Kachel-Uebersicht \"Top 5 Waehrungspaare\" (EUR/USD/GBP/JPY/CHF/AUD relativ zur Basiswaehrung) und ein Chart.js-Liniendiagramm mit 7-Tage-Kursverlauf des gewaehlten Paars.",
        "elevator_pitch": "Ein optisch aufwendigerer Waehrungsrechner als die schlichte `frankfurter-currency-converter`-Variante — mit Top-Rates-Uebersicht und Verlaufschart in einem dunklen \"Corporate Dashboard\"-Look.",
        "target_audience": "Nutzer, die neben der reinen Umrechnung auch einen schnellen Ueberblick ueber mehrere wichtige Kurse gleichzeitig wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/infosys1wechselstube2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0215",
        "title": "international — Genitus International Markets",
        "project": "international-15",
        "category": "Genitus International Markets",
        "cluster": "Genitus International Markets",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Chart.js",
          "Google Fonts"
        ],
        "tags": [
          "aktienanalyse",
          "finanzmärkte",
          "kaufsignale",
          "verkaufsignale"
        ],
        "status": "prototype",
        "overview": "Webapp zur Analyse von Aktienkursen mit Fokus auf internationale Märkte, insbesondere USA und Deutschland. Sie bietet Signale für Kauf- und Verkaufspositionen basierend auf einer Mittelpreismethode.",
        "elevator_pitch": "Eine umfassende Plattform zur Analyse internationaler Aktienmärkte.",
        "target_audience": "Investoren und Trader, die an internationalen Märkten interessiert sind.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/international-15/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0216",
        "title": "intraday-markov — Intraday Analyse von Aktien",
        "project": "intraday-markov",
        "category": "Domvs-Avrea/Intraday-Analyse-Tools",
        "cluster": "Domvs-Avrea/Intraday-Analyse-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Lightweight Charts"
        ],
        "tags": [
          "intraday-analysis",
          "stock-market",
          "market-phases",
          "reversals",
          "seasonal-patterns"
        ],
        "status": "prototype",
        "overview": "Die Web-App \"ISO JOE Micro Hour Terminal Pro\" bietet eine umfassende Analyse von Intraday-Daten für Aktien, einschließlich Tools zur Erkennung von Marktphasen und saisonalen Mustern.",
        "elevator_pitch": "Eine leistungsstarke Web-App zur Analyse von Intraday-Daten, die Investoren hilft, Marktbewegungen besser zu verstehen.",
        "target_audience": "Aktienhändler und Investoren.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/intraday-markov/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0217",
        "title": "intraday-shannon — Micro Hour Terminal Pro für Intraday-Trading",
        "project": "intraday-shannon",
        "category": "Domvs-Avrea/Quantitative Trading Tools",
        "cluster": "Domvs-Avrea/Quantitative Trading Tools",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Lightweight Charts"
        ],
        "tags": [
          "intraday-trading",
          "quantitative-analysis",
          "real-time-data",
          "trading-strategies"
        ],
        "status": "prototype",
        "overview": "Micro Hour Terminal Pro ist ein quantitatives Analyse-Tool für Intraday-Trading, das Echtzeit-Daten von Aktien anzeigt und verschiedene Trading-Strategien unterstützt. Es bietet eine benutzerfreundliche Oberfläche zur Analyse und Entscheidungsfindung im Handel.",
        "elevator_pitch": "Ein leistungsstarkes Tool für Trader, die Echtzeit-Daten und Analysen benötigen.",
        "target_audience": "Intraday-Trader und Investoren.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/intraday-shannon/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0218",
        "title": "iso-joe-micro-hour-terminal — ISO JOE Micro Hour Intraday Terminal",
        "project": "iso-joe-micro-hour-terminal",
        "category": "ISO-JOE-Serie (Saisonalitaets-Terminal-Familie)",
        "cluster": "ISO-JOE-Serie (Saisonalitaets-Terminal-Familie)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Lightweight Charts CDN",
          "Google Fonts Orbitron",
          "Fetch API",
          "externer Yahoo-Proxy"
        ],
        "tags": [
          "fintech",
          "trading-terminal",
          "seasonality",
          "intraday",
          "candlestick",
          "single-purpose-tool"
        ],
        "status": "prototype",
        "overview": "Einseitiges Intraday-Trading-Terminal (14 KB) im dunklen Cyberpunk-Look. Laedt fuer einen Ticker (Default `^SPX`) 10 Tage 1-Stunden-Kerzen von einem externen Yahoo-Chart-Proxy, zeichnet sie als Candlestick-Chart und aggregiert sie zusaetzlich zu einer stuendlichen Saisonalitaets-Matrix (Durchschnittsrendite + Win-Rate je US-Handelsphase von Opening Bell bis Power Hour).",
        "elevator_pitch": "\"ISO JOE\" — ein Mini-Radar, das zeigt, in welcher Handelsstunde ein Ticker statistisch am haeufigsten steigt oder faellt.",
        "target_audience": "Intraday-Trader, die eine schnelle statistische Edge-Einschaetzung pro Handelsstunde suchen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/iso-joe-micro-hour-terminal/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0219",
        "title": "iso-joe-micro-hour-terminal-markov — ISO JOE Micro Hour Terminal Pro (Markov)",
        "project": "iso-joe-micro-hour-terminal-markov",
        "category": "ISO-JOE-Serie (Saisonalitaets-Terminal-Familie)",
        "cluster": "ISO-JOE-Serie (Saisonalitaets-Terminal-Familie)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Lightweight Charts CDN",
          "Google Fonts Orbitron",
          "Fetch API",
          "externer Yahoo-Proxy"
        ],
        "tags": [
          "fintech",
          "trading-terminal",
          "seasonality",
          "intraday",
          "markov-chain",
          "candlestick"
        ],
        "status": "prototype",
        "overview": "Erweiterte Version von `iso-joe-micro-hour-terminal`: gleiches Candlestick-Chart und gleiche Hourly-Seasonality-Matrix, zusaetzlich drei neue Analyse-Widgets — \"Intraday Momentum Chaining\" (Markov-Ketten-Uebergangswahrscheinlichkeiten zwischen aufeinanderfolgenden Handelsstunden am selben Tag), \"Power Hour Reversal Predictor\" (wie oft dreht die letzte Handelsstunde den Tagestrend) und \"Overnight vs. Intraday Session Radar\" (kumulierte Gap- vs. Intraday-Performance).",
        "elevator_pitch": "Dieselbe Micro-Radar-Idee wie die Basisversion, aber mit einer echten Markov-Kette, die zeigt \"wenn Stunde X bullisch war, wie wahrscheinlich ist Stunde Y auch bullisch?\".",
        "target_audience": "Intraday-Trader mit quantitativem Anspruch, die einfache Sequenz-Abhaengigkeiten zwischen Handelsstunden sehen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/iso-joe-micro-hour-terminal-markov/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0220",
        "title": "iso-joe-micro-hour-terminal-shannon — ISO JOE: Micro Hour Terminal Pro (Shannon Entropy)",
        "project": "iso-joe-micro-hour-terminal-shannon",
        "category": "ISO JOE Serie (Micro-Hour / Shannon-Entropy)",
        "cluster": "ISO JOE Serie (Micro-Hour / Shannon-Entropy)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Lightweight Charts CDN",
          "Google Fonts Orbitron",
          "Fetch API"
        ],
        "tags": [
          "fintech",
          "trading-terminal",
          "markov-chain",
          "shannon-entropy",
          "intraday",
          "iso-joe"
        ],
        "status": "prototype",
        "overview": "Ein-Datei-Trading-Terminal (592 Zeilen) im Dark-Cyberpunk-Look: Stunden-Kerzen eines Tickers werden per Markov-Kette (Grün/Rot-Übergänge je Handelsstunde) analysiert, zusätzlich wird pro Stunden-Übergang die Shannon-Entropie berechnet und als \"Chaos-Filter\" ausgegeben (Muster erkannt vs. Rauschen). Erweiterte Variante von `INTRADAY-MARKOV` um die Entropie-Metrik.",
        "elevator_pitch": "Ein Intraday-Terminal, das nicht nur sagt \"diese Stunde ist meistens grün\", sondern auch, wie verlässlich dieses Muster statistisch ist (Shannon-Entropie als Rauschfilter).",
        "target_audience": "Intraday-/Daytrader, die stundenbasierte Wiederholungsmuster suchen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/iso-joe-micro-hour-terminal-shannon/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0221",
        "title": "iso-joe-seasonality-monthly — ISO JOE: Monatliche Saisonalitäts-Matrix",
        "project": "iso-joe-seasonality-monthly",
        "category": "ISO JOE Serie (Seasonality)",
        "cluster": "ISO JOE Serie (Seasonality)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Lightweight Charts CDN",
          "Google Fonts Orbitron",
          "Fetch API"
        ],
        "tags": [
          "fintech",
          "trading-terminal",
          "seasonality",
          "monthly-returns",
          "iso-joe"
        ],
        "status": "prototype",
        "overview": "Trading-Terminal (466 Zeilen), das 5 Jahre Kursdaten eines Tickers nach Kalendermonat gruppiert und die durchschnittliche monatliche Rendite plus Win-Rate als Histogramm anzeigt, inklusive Long/Short-Edge-Empfehlung basierend auf dem historisch besten/schlechtesten Monat. Interessant: Der `<title>`-Tag im Code lautet \"TREND RIDER — Quant Seasonality Matrix v2\" — die ISO-JOE-Markenbezeichnung existiert nur im Dateinamen/README, nicht im sichtbaren Branding der Seite selbst.",
        "elevator_pitch": "\"In welchem Monat performt dieser Ticker historisch am besten?\" — auf einen Blick per Histogramm beantwortet.",
        "target_audience": "Swing-/Positionstrader mit Fokus auf saisonale Muster (z.B. \"Sell in May\").",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/iso-joe-seasonality-monthly/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0222",
        "title": "iso-joe-seasonality-quarterly — ISO JOE: Quartalsweise Saisonalitäts-Engine",
        "project": "iso-joe-seasonality-quarterly",
        "category": "ISO JOE Serie (Seasonality)",
        "cluster": "ISO JOE Serie (Seasonality)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Lightweight Charts CDN",
          "Google Fonts Orbitron",
          "Fetch API"
        ],
        "tags": [
          "fintech",
          "trading-terminal",
          "seasonality",
          "quarterly-returns",
          "iso-joe"
        ],
        "status": "prototype",
        "overview": "Nahezu identischer Code-Zwilling zu `iso-joe-seasonality-monthly` (412 Zeilen), gruppiert die 5-Jahres-Kurshistorie eines Tickers aber nach Quartalen (Q1–Q4) statt nach Kalendermonat und zeigt die durchschnittliche Quartalsperformance als Histogramm mit historischem Log. `<title>`-Tag: \"TREND RIDER — Seasonal Quant Engine\" (gleiche Marken-Inkonsistenz wie die Monats-Variante).",
        "elevator_pitch": "Saisonalitäts-Analyse auf Quartalsebene statt Monatsebene — gröberes, aber stabileres Signal für längerfristige Positionierung.",
        "target_audience": "Positionstrader/Investoren, die auf Quartals-Rotation (z.B. Q4-Rally-Effekte) setzen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/iso-joe-seasonality-quarterly/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0223",
        "title": "journal-basic — Trading Journal v4",
        "project": "journal-basic",
        "category": "Trading-Tools",
        "cluster": "Trading-Tools",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "trading-journal",
          "performance-analysis",
          "ai-tools"
        ],
        "status": "prototype",
        "overview": "Trading Journal v4 ist eine Web-App zur Dokumentation und Analyse von Trading-Handeln mit KI-Unterstützung. Sie hilft Tradern, ihre Trades zu verfolgen, zu analysieren und ihre Performance zu verbessern.",
        "elevator_pitch": "Eine umfassende Lösung für Trader zur Analyse ihrer Handelsaktivitäten.",
        "target_audience": "Trader und Investoren, die ihre Performance verbessern möchten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/journal-basic/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0224",
        "title": "kontoauszug-extractor-v5 — Kontoauszug und Versicherungspolicen Extraktor",
        "project": "kontoauszug-extractor-v5",
        "category": "Vaulty",
        "cluster": "Vaulty",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "PDF.js"
        ],
        "tags": [
          "kontoauszug",
          "versicherungspolice",
          "DSGVO",
          "lokale Verarbeitung",
          "Finanzanalyse"
        ],
        "status": "prototype",
        "overview": "Vaulty ist eine lokale Webanwendung, die es Nutzern ermöglicht, Kontoauszüge und Versicherungspolicen zu extrahieren und anonymisieren. Die Verarbeitung erfolgt vollständig im Browser und ist DSGVO-konform.",
        "elevator_pitch": "Ein Tool zur sicheren und anonymen Verarbeitung von Finanzdokumenten.",
        "target_audience": "Privatpersonen, die ihre Finanzdaten sicher verwalten möchten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/kontoauszug-extractor-v5/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0225",
        "title": "lemarche-index — LeMarché // Retail Trader Platform (Index)",
        "project": "lemarche-index",
        "category": "Hub/Index-Familie (LeMarche/Neural Command/Neural Deluxe)",
        "cluster": "Hub/Index-Familie (LeMarche/Neural Command/Neural Deluxe)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron+JetBrains Mono",
          "IntersectionObserver",
          "Iframe-Lazy-Load"
        ],
        "tags": [
          "fintech",
          "hub-index",
          "trading-tools",
          "lazy-iframe",
          "lemarche"
        ],
        "status": "prototype",
        "overview": "Hub-/Index-Seite (689 Zeilen) mit Karten-Grid im Light/Dark-Theme, die eine Sammlung von Trading- und Marktanalyse-Apps bündelt: BrokerAI, PeakValley, Goldshield, GlobalFintech, LeGraph, L'Average, LeMoment, L'Intraday, LeGlobal, LeView. Jede Karte lädt per `IntersectionObserver` eine Live-Vorschau der jeweiligen externen App als Lazy-Load-iFrame, sobald sie in den Viewport scrollt.",
        "elevator_pitch": "Eine kuratierte Trading-Tool-Landingpage im französisch angehauchten \"LeMarché\"-Branding, die mehrere spezialisierte Fintech-Mini-Apps als Live-Vorschau präsentiert statt nur zu verlinken.",
        "target_audience": "Retail-Trader, die auf einer Seite mehrere Analyse-Tools (Broker-KI, Kerzenmuster, SMA-Bot, Momentum, Intraday) entdecken/nutzen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/lemarche-index/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0226",
        "title": "limit-pivot-orders — Pivot-Punkte und Cluster-Analyse für Trader",
        "project": "limit-pivot-orders",
        "category": "Domvs-Avrea/Trading-Tools",
        "cluster": "Domvs-Avrea/Trading-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Chart.js",
          "Google Fonts Orbitron",
          "JetBrains Mono"
        ],
        "tags": [
          "pivot-points",
          "cluster-analysis",
          "trading-signals",
          "stock-analysis",
          "algorithm"
        ],
        "status": "prototype",
        "overview": "Die Webapp analysiert und visualisiert Pivot-Punkte und Cluster-Levels für Aktien, um Trading-Signale zu generieren. Sie richtet sich an Trader und Analysten, die Pivot-Analysen nutzen möchten.",
        "elevator_pitch": "Eine leistungsstarke Analyse- und Visualisierungs-Tool für Trader.",
        "target_audience": "Trader und Finanzanalysten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/limit-pivot-orders/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0227",
        "title": "markov-predictions-trend-rider — Trend Rider // Gemini-OS EOD Markov Engine",
        "project": "markov-predictions-trend-rider",
        "category": "Trend Rider / Gemini-OS Markov-Familie",
        "cluster": "Trend Rider / Gemini-OS Markov-Familie",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4 CDN",
          "TradingView Widget",
          "Vanilla JS",
          "Fetch API"
        ],
        "tags": [
          "fintech",
          "trading-terminal",
          "markov-chain",
          "tradingview",
          "eod-proxy"
        ],
        "status": "prototype",
        "overview": "Trading-Tool (371 Zeilen), das aus historischen Tageskerzen (Open/Close) eine binäre Markov-Übergangsmatrix (Grün/Rot) per Maximum-Likelihood-Schätzung ableitet und daraus eine Wahrscheinlichkeit für die nächste Kerze samt Long/Short-Bias berechnet. Ein echtes TradingView-Chart-Widget ist eingebettet, Aktienauswahl per Buttons (\"Asset-Pills\") oder manueller Ticker-Eingabe mit automatischer Suffix-Ergänzung (z.B. `.XETRA`).",
        "elevator_pitch": "\"Was ist wahrscheinlicher, die nächste Kerze grün oder rot?\" — beantwortet per Markov-Kette auf Basis der eigenen historischen Handelsdaten des Tickers.",
        "target_audience": "EOD-/Swingtrader, die einfache probabilistische Fortsetzungsmuster suchen, kombiniert mit einem echten TradingView-Chart zur visuellen Bestätigung.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/markov-predictions-trend-rider/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0228",
        "title": "mega-commando-zentrale — Quantum Infrared Engine v22.0 // Mega Commando Zentrale",
        "project": "mega-commando-zentrale",
        "category": "Neural Trading Suite (Sammel-Terminal)",
        "cluster": "Neural Trading Suite (Sammel-Terminal)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3 CDN",
          "Google Fonts Orbitron+Rajdhani",
          "Vanilla JS",
          "Fetch API"
        ],
        "tags": [
          "fintech",
          "trading-terminal",
          "multi-tool",
          "bonds",
          "fx",
          "etf",
          "macro",
          "mega-app"
        ],
        "status": "prototype",
        "overview": "Riesiges Multi-Tab-Trading-Kommandozentrum (5405 Zeilen, ~379 KB) mit über 20 Analyse-Modulen als Karten/Tabs: Spread-Analyse (AI Statistical Arb), Core Execution Layers, Argentum Daily/Intraday (Z-Score Relative Strength / Alpha Delta Radar), Body Slam (Mean Reversion), Hidden Smash (Institutional Liquidity Trap Detector), Consultus Daily/Weekly (Compression-Engines), Corpus Parvus, Denarius (Neural Cluster Spread Matrix), Neural Hedging System, Volumina (Volume Compression), Peak Valley (Geometric Formation Detector), JSON Symbol Manager, Exchange Matrix, Neural Fixed-Income Terminal (Sovereign Bonds), FX Quant Terminal, ETF-/Funds-Manager, Rohstoffe & Makro-Spread, Global Macro Alpha Terminal. Navigation über Burger-Menü statt klassischer Tab-Leiste.",
        "elevator_pitch": "Eine einzige Datei als \"eierlegende Wollmilchsau\" für institutionelle Multi-Asset-Analyse — von Aktien-Spreads über Anleihen bis FX und Rohstoffe, alles in einem Terminal.",
        "target_audience": "Power-User/Prop-Trader, die viele spezialisierte Analyse-Module zentral griffbereit haben wollen statt zwischen Einzeltools zu wechseln.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/mega-commando-zentrale/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0229",
        "title": "mensis2020 — Jahresanfang Handelstag Analyse (Basisjahr 2020)",
        "project": "mensis2020",
        "category": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
        "cluster": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Fetch API",
          "EOD Historical Data API"
        ],
        "tags": [
          "fintech",
          "stock-analysis",
          "year-to-date",
          "eodhistoricaldata",
          "mensis"
        ],
        "status": "prototype",
        "overview": "Sehr kleines Single-Purpose-Tool (95 Zeilen): Nutzer gibt eine oder mehrere Börsensymbole (kommagetrennt) ein, das Skript ermittelt den Schlusskurs am ersten Handelstag des Jahres 2020 (mit Wochenend-Korrektur auf den nächsten Montag) und vergleicht ihn mit dem aktuellsten verfügbaren Schlusskurs, um LONG/SHORT-Einschätzung und Performance in % auszugeben.",
        "elevator_pitch": "\"Wie hat sich diese Aktie seit Anfang 2020 entwickelt?\" — Ein-Klick-Antwort mit LONG/SHORT-Tag und Prozentzahl.",
        "target_audience": "Trader/Analysten, die schnell die Performance seit einem fixen Referenzdatum (hier: Jahresanfang 2020) über mehrere Symbole gleichzeitig prüfen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/mensis2020/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0230",
        "title": "mensis3annis — Jahresanfang Handelstag Analyse (Basisjahr 2022 / \"3 Jahre\")",
        "project": "mensis3annis",
        "category": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
        "cluster": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Fetch API",
          "EOD Historical Data API"
        ],
        "tags": [
          "fintech",
          "stock-analysis",
          "year-to-date",
          "eodhistoricaldata",
          "mensis"
        ],
        "status": "prototype",
        "overview": "Code-Zwilling zu `mensis2020` (94 Zeilen) mit identischer Logik, aber fest codiertem Basisjahr 2022 statt 2020 (daher vermutlich der Name \"3ANNIS\" — Analyse über ca. 3 Jahre rückblickend zum Zeitpunkt der Erstellung).",
        "elevator_pitch": "Gleiche Funktion wie `mensis2020`, aber mit ~3-Jahres-Horizont (Basis Januar 2022) statt seit 2020.",
        "target_audience": "Analysten, die einen mittelfristigen statt vollen Langfrist-Vergleich wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/mensis3annis/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0231",
        "title": "mensisanno — Jahresanfang Handelstag Analyse (laufendes Jahr, dynamisch)",
        "project": "mensisanno",
        "category": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
        "cluster": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Fetch API",
          "EOD Historical Data API"
        ],
        "tags": [
          "fintech",
          "stock-analysis",
          "year-to-date",
          "eodhistoricaldata",
          "mensis"
        ],
        "status": "prototype",
        "overview": "Dritte Variante der Mensis-Serie (96 Zeilen): statt eines fest codierten Jahres wird `new Date().getFullYear()` verwendet — das Tool berechnet den ersten Handelstag des **aktuell laufenden Jahres** automatisch und vergleicht ihn mit dem neuesten Schlusskurs. Einzige Variante der vier Mensis-Dateien, die ohne manuelle Anpassung \"für immer\" aktuell bleibt.",
        "elevator_pitch": "Die \"immer aktuelle\" Version des Jahresanfangs-Vergleichs — kein manuelles Update des Basisjahres nötig.",
        "target_audience": "Nutzer, die eine laufend gültige Year-to-Date-Performance-Abfrage wollen, ohne die Quelldatei jährlich anzupassen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/mensisanno/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0232",
        "title": "mensisorigin — Performance seit IPO / erstem verfügbaren Kurs",
        "project": "mensisorigin",
        "category": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
        "cluster": "Jahresanfang Handelstag Analyse\"-Serie (Mensis-Familie)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Fetch API",
          "EOD Historical Data API"
        ],
        "tags": [
          "fintech",
          "stock-analysis",
          "ipo-performance",
          "eodhistoricaldata",
          "mensis"
        ],
        "status": "prototype",
        "overview": "Vierte und funktional eigenständigste Variante der Mensis-Serie (86 Zeilen, README-Label \"IPO\"): statt eines fixen Kalenderdatums wird per zusätzlichem API-Aufruf (`order=a`, `limit=1`) der **erste überhaupt verfügbare Handelstag** eines Symbols ermittelt (= IPO-Datum oder Datenbeginn) und die Gesamtperformance seit diesem Datum berechnet.",
        "elevator_pitch": "\"Wie hat sich diese Aktie seit ihrem Börsengang entwickelt?\" — automatische IPO-Erkennung statt manuellem Referenzdatum.",
        "target_audience": "Analysten/Investoren, die die Gesamtperformance eines Titels seit Erstnotiz sehen wollen, ohne das IPO-Datum selbst nachschlagen zu müssen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/mensisorigin/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0233",
        "title": "momentumbombe2 — MOMENTUM Intraday Trading App",
        "project": "momentumbombe2",
        "category": "Momentum-Intraday-Familie",
        "cluster": "Momentum-Intraday-Familie",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4 CDN",
          "Vanilla JS",
          "EOD Historical Data API"
        ],
        "tags": [
          "fintech",
          "intraday-trading",
          "dax",
          "dow",
          "nasdaq",
          "crypto",
          "forex",
          "momentum"
        ],
        "status": "prototype",
        "overview": "Trading-Tool (647 Zeilen) mit Echtzeitkurs-Abfrage für einzelne Aktien: Nutzer wählt einen übergeordneten Index (DAX, DOW JONES, NASDAQ 100, CRYPTO, FOREX, INDEX) aus einem Dropdown, worauf sich ein zweites Dropdown mit den zugehörigen Einzeltiteln (z.B. komplette DAX-Zusammensetzung mit XETRA-Tickersuffix) füllt; alternativ freie Ticker-Eingabe. Ein \"Get Trade\"-Button ruft den Echtzeitkurs ab.",
        "elevator_pitch": "Schneller Echtzeitkurs-Check über mehrere Anlageklassen (Aktien/Krypto/Forex) hinweg, mit vorbefüllten Index-Zusammensetzungen statt manueller Ticker-Recherche.",
        "target_audience": "Intraday-Trader, die schnell zwischen verschiedenen Indizes/Assetklassen wechseln wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/momentumbombe2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0234",
        "title": "nasdaqexe — OPEN TRADING Nasdaq 100 Performance",
        "project": "nasdaqexe",
        "category": "Open Trading Nasdaq 100\"-Familie",
        "cluster": "Open Trading Nasdaq 100\"-Familie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4 CDN",
          "Vanilla JS",
          "EOD Historical Data API"
        ],
        "tags": [
          "fintech",
          "nasdaq100",
          "weekly-scan",
          "eodhistoricaldata",
          "friday-close"
        ],
        "status": "prototype",
        "overview": "Scanner-Tool (340 Zeilen) über alle ~100 Nasdaq-100-Titel: für jedes Symbol werden die Schlusskurse der letzten 3 Freitage abgerufen und mit dem aktuellsten Schlusskurs verglichen, Ergebnis wird in einer neon-cyan-gestylten Tabelle mit Profit-Spalte (grüner Neon-Glow) dargestellt. Läuft nur einmal wöchentlich neu (Trigger: `dayOfWeek === 6`, also Samstag) statt bei jedem Seitenaufruf.",
        "elevator_pitch": "Ein automatischer Wochen-Scanner über den kompletten Nasdaq-100-Index, der auf einen Blick zeigt, welche Titel sich seit den letzten drei Freitagen positiv entwickelt haben.",
        "target_audience": "Swingtrader, die eine wöchentliche Nasdaq-100-Übersicht statt manueller Einzelabfrage wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/nasdaqexe/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0235",
        "title": "nasdaqopen — OPEN TRADING Nasdaq 100",
        "project": "nasdaqopen",
        "category": "Open Trading Nasdaq 100\"-Familie",
        "cluster": "Open Trading Nasdaq 100\"-Familie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4 CDN",
          "Vanilla JS",
          "EOD Historical Data API"
        ],
        "tags": [
          "fintech",
          "nasdaq100",
          "weekly-scan",
          "eodhistoricaldata",
          "friday-close"
        ],
        "status": "prototype",
        "overview": "Funktional nahezu identisches Duplikat von `nasdaqexe` (354 Zeilen vs. 340): gleicher Nasdaq-100-Scanner, der die letzten 3 Freitags-Schlusskurse gegen den aktuellen Kurs vergleicht. Unterschiede laut Diff: `<h1>`-Text ohne den Zusatz \"Performance\", ein zusätzlicher Media-Query-Block für die mobile Kartenansicht (`@media max-width:480px`), sowie rein kosmetische Formatierungs-/Einrückungsunterschiede im JS — die Kernlogik (`performCandleApiRequest`, Freitags-Filter, API-Aufruf) ist identisch.",
        "elevator_pitch": "Siehe `nasdaqexe` — praktisch dasselbe Tool.",
        "target_audience": "Identisch zu `nasdaqexe`.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/nasdaqopen/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0236",
        "title": "neural-command — Neural Command // Trading Omega Index",
        "project": "neural-command",
        "category": "Hub/Index-Familie (LeMarche/Neural Command/Neural Deluxe)",
        "cluster": "Hub/Index-Familie (LeMarche/Neural Command/Neural Deluxe)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron+JetBrains Mono"
        ],
        "tags": [
          "fintech",
          "hub-index",
          "trading-tools",
          "search",
          "neural-command"
        ],
        "status": "prototype",
        "overview": "Hub-/Index-Seite (2364 Zeilen) mit Karten-Grid, Suchfeld und Light/Dark-Theme im selben visuellen System wie `lemarche-index`. Verweist als reine Linksammlung auf über 20 externe Trading-, \"Omega\"- und Legacy-Tools sowie CSV-Datenquellen und Zentralbank-Kategorien (EZB/IWF/FED), alle als farbcodierte Karten (Gold/Cyan/Magenta je nach Tool-Typ).",
        "elevator_pitch": "Ein durchsuchbares \"App-Verzeichnis\" für die gesamte Neural-Trading-Suite — von Commando-Zentrale über Trend Rider bis Dude Bank.",
        "target_audience": "Interne/eigene Nutzer der Neural-Trading-Apps-Familie, die schnell zwischen vielen Einzeltools navigieren wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural-command/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0237",
        "title": "neural-deluxe-hub-slim — Neural Deluxe — Institutional Trading Hub (Slim)",
        "project": "neural-deluxe-hub-slim",
        "category": "Hub/Index-Familie (Neural Deluxe)",
        "cluster": "Hub/Index-Familie (Neural Deluxe)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Font Awesome 6.4 CDN",
          "Iframe-Embedding"
        ],
        "tags": [
          "fintech",
          "hub-index",
          "sidebar-shell",
          "trading-tools",
          "iframe-container"
        ],
        "status": "prototype",
        "overview": "Sidebar-basierter App-Switcher-Hub (942 Zeilen) im Stil eines schlanken Desktop-Clients: eine ein-/ausklappbare Sidebar listet über 25 externe Trading-/Portfolio-/Analyse-Tools kategorisiert (⚡ Execution, 📊 Analysis, 🛡️ Portfolio, 🚀 Advanced, 📚 Research) und lädt die Auswahl per iFrame im Hauptbereich — mobiles Overlay-Menü für kleine Bildschirme.",
        "elevator_pitch": "Ein \"Trading-Betriebssystem\" mit Sidebar-Navigation statt Kartengrid — wirkt näher an einer echten Desktop-App als die Karten-basierten Hub-Varianten der Serie.",
        "target_audience": "Power-User, die viele Fintech-Tools in einer durchgehenden Session (ohne Tab-Wechsel im Browser) nutzen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural-deluxe-hub-slim/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0238",
        "title": "neural-deluxe-index — Neural Deluxe // Institutional Platform (Index)",
        "project": "neural-deluxe-index",
        "category": "Hub/Index-Familie (Neural Deluxe)",
        "cluster": "Hub/Index-Familie (Neural Deluxe)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron+JetBrains Mono"
        ],
        "tags": [
          "fintech",
          "hub-index",
          "trading-tools",
          "tier-badges",
          "neural-deluxe"
        ],
        "status": "prototype",
        "overview": "Hub-/Index-Seite (1383 Zeilen) im selben visuellen System wie `lemarche-index`/`neural-command`: Header mit Stats-Zeile, Tier-Kennzeichnung und Kartengrid für eine Sammlung institutioneller Trading-Tools. Kartentitel sind kurze Codenamen (z.B. \"OrderMgr\", \"BrokerAI\", \"TechBot1\", \"Denarius\") mit Lazy-Preview-iFrame — identisches Karten-/Lazy-Load-Prinzip wie `lemarche-index`, aber mit anderer Tool-Auswahl und Tier-Badges.",
        "elevator_pitch": "Die \"Kartenansicht\"-Schwester von `neural-deluxe-hub-slim` — dieselbe Tool-Sammlung, aber als durchsuchbares Grid mit Live-Vorschauen statt Sidebar.",
        "target_audience": "Nutzer, die einen visuellen Überblick (Vorschau-Kacheln) statt einer reinen Navigationsliste bevorzugen.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural-deluxe-index/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0239",
        "title": "NEURAL Deluxe — Institutional Trading Hub",
        "project": "neural-deluxe-institutional-hub",
        "category": "Institutional Trading Hub",
        "cluster": "Institutional Trading Hub",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Font Awesome 6.4.0",
          "iFrame"
        ],
        "tags": [
          "trading-hub",
          "institutional-tools",
          "iframe",
          "dashboard"
        ],
        "status": "prototype",
        "overview": "Passwortgeschützter Sidebar-Hub, der eine Vielzahl von Trading-Tools über iFrames integriert. Die Benutzeroberfläche ist auf institutionelle Trader ausgerichtet und bietet Zugriff auf verschiedene Funktionen wie Orderbook, Broker-AI und Portfolio-Analyse.",
        "elevator_pitch": "Ein zentraler Zugangspunkt für institutionelle Trader zu einer Vielzahl von Tools.",
        "target_audience": "Institutionelle Investoren und Trader.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural-deluxe-institutional-hub/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0240",
        "title": "neural-depot — Neural Portfolio Dashboard",
        "project": "neural-depot",
        "category": "Domvs-Avrea/Neural Portfolio",
        "cluster": "Domvs-Avrea/Neural Portfolio",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Chart.js"
        ],
        "tags": [
          "portfolio-analysis",
          "stock-analysis",
          "AI-signals",
          "CSV-import",
          "portfolio-management"
        ],
        "status": "prototype",
        "overview": "Die Neural Portfolio Dashboard-App hilft Anlegern, ihr Portfolio zu analysieren und zu verwalten. Sie bietet Funktionen zur Aktienanalyse, CSV-Import/Export sowie KI-gestützte Signale und Performance-Trends.",
        "elevator_pitch": "Ein KI-gestütztes Dashboard zur Verwaltung und Analyse von Portfolios.",
        "target_audience": "Investoren und Finanzanalysten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural-depot/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0241",
        "title": "neural2indexfintech — AI-gestützte Handelsplattform",
        "project": "neural2indexfintech",
        "category": "Domvs-Avrea/AI-Handelsplattform",
        "cluster": "Domvs-Avrea/AI-Handelsplattform",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome 6.4.0",
          "Google Fonts Inter",
          "Orbitron"
        ],
        "tags": [
          "AI-Handelsplattform",
          "Finanztools",
          "Marktanalyse",
          "Investoren",
          "Händler"
        ],
        "status": "prototype",
        "overview": "DOMVS AVREA ist eine AI-gestützte Handelsplattform, die fortschrittliche Finanztools und Marktanalysen für erfahrene Investoren und Händler bietet.",
        "elevator_pitch": "Eine umfassende Plattform für den Handel mit AI-gestützten Tools.",
        "target_audience": "Erfahrene Investoren und Händler.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neural2indexfintech/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0242",
        "title": "neuralglobaltools — KI-gestützte Handelsplattform für globale Märkte",
        "project": "neuralglobaltools",
        "category": "GlobalFintech",
        "cluster": "GlobalFintech",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bulma CSS",
          "Font Awesome 6.0.0",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "ai-trading-platform",
          "market-analysis",
          "cryptocurrency-analysis",
          "fibonacci-analysis"
        ],
        "status": "prototype",
        "overview": "Die Plattform bietet fortschrittliche Analysewerkzeuge für globale Märkte, einschließlich Marktinformationen, Kryptowährungsanalyse und Fibonacci-Analyse. Die Benutzeroberfläche ist modern und nutzt eine ansprechende Gestaltung.",
        "elevator_pitch": "Eine KI-gestützte Plattform für umfassende Marktanalysen.",
        "target_audience": "Trader und Investoren, die auf der Suche nach präzisen Marktanalysen sind.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neuralglobaltools/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0243",
        "title": "neuralxetra — Professionelles Auktions-Dashboard für die XETRA-Börse",
        "project": "neuralxetra",
        "category": "XETRA-NFT-Auktionen",
        "cluster": "XETRA-NFT-Auktionen",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "XETRA",
          "NFT",
          "Auktionen",
          "Live-Trading",
          "Finanzdashboard"
        ],
        "status": "prototype",
        "overview": "Das Projekt ist ein interaktives Dashboard, das Echtzeit-Daten für NFT-Auktionen und Live-Trading auf der XETRA-Börse bereitstellt. Es bietet eine benutzerfreundliche Oberfläche zur Verwaltung und Anzeige von Auktionen.",
        "elevator_pitch": "Ein umfassendes Dashboard für NFT-Auktionen und Live-Trading auf der XETRA-Börse.",
        "target_audience": "Trader und Investoren im NFT- und Kryptowährungsbereich.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/neuralxetra/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0244",
        "title": "omerga-desktop — OMEGA Windows Trading Hub",
        "project": "omerga-desktop",
        "category": "Domvs-Avrea/Trading-Hub",
        "cluster": "Domvs-Avrea/Trading-Hub",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript"
        ],
        "tags": [
          "trading-hub",
          "trading-tools",
          "web-app"
        ],
        "status": "prototype",
        "overview": "Die OMEGA Windows App ist ein Trading-Hub, das verschiedene Trading-Tools und -Anwendungen anbietet. Die App enthält eine Liste von Tools, die über Icons und Links zugänglich sind.",
        "elevator_pitch": "Ein zentraler Ort für Trader, um auf verschiedene Trading-Tools zuzugreifen.",
        "target_audience": "Trader und Investoren.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/omerga-desktop/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0245",
        "title": "server5testeod4 — EOD Financial Terminal",
        "project": "server5testeod4",
        "category": "EOD Financial Tools",
        "cluster": "EOD Financial Tools",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Chart.js"
        ],
        "tags": [
          "finanzterminal",
          "aktienkurse",
          "historische daten",
          "finanznachrichten"
        ],
        "status": "prototype",
        "overview": "Das EOD Financial Terminal ist eine interaktive Webanwendung, die Echtzeit-Aktienkurse, historische Daten und Finanznachrichten für Investoren und Finanzanalysten bereitstellt.",
        "elevator_pitch": "Ein umfassendes Tool für Investoren, um aktuelle und historische Finanzdaten zu analysieren.",
        "target_audience": "Investoren, Finanzanalysten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/server5testeod4/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0246",
        "title": "top-funds-terminal — Übersicht über aktiv gemanagte Fonds",
        "project": "top-funds-terminal",
        "category": "Fonds-Management-Tools",
        "cluster": "Fonds-Management-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "JavaScript"
        ],
        "tags": [
          "aktive Fonds",
          "Filter",
          "Ticker",
          "Technologie",
          "Global",
          "Emerging Markets"
        ],
        "status": "prototype",
        "overview": "Die App zeigt eine Liste von aktiv gemanagten Fonds ohne ETFs, mit einem Fokus auf Technologie, Global und Emerging Markets. Nutzer können Fonds nach Kategorien filtern und Ticker kopieren.",
        "elevator_pitch": "Eine umfassende Übersicht über aktiv gemanagte Fonds, ideal für Investoren.",
        "target_audience": "Investoren, die spezifische Fonds analysieren und vergleichen möchten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/top-funds-terminal/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0247",
        "title": "vaulty-v5 — KI-gestützte Budget-App",
        "project": "vaulty-v5-2",
        "category": "DVAG Finanzmanagement",
        "cluster": "DVAG Finanzmanagement",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "budgeting",
          "KI",
          "DVAG",
          "financial planning",
          "income",
          "expenses"
        ],
        "status": "prototype",
        "overview": "Vaulty ist eine KI-gestützte Budget-App, die Nutzern hilft, ihr Einkommen und Ausgaben zu verwalten. Sie basiert auf der DVAG Allfinanz-Logik und bietet eine 30-30-30-10-Regel zur Finanzplanung.",
        "elevator_pitch": "Eine intelligente Lösung zur Verwaltung von Finanzen und zur Simulation von Sparstrategien.",
        "target_audience": "Personen, die ihre Finanzen besser organisieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/vaulty-v5-2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0248",
        "title": "weitere-generali-dvag-versicherungen — Übersicht über Generali/DVAG Versicherungen",
        "project": "weitere-generali-dvag-versicherungen",
        "category": "DVAG-Versicherungen",
        "cluster": "DVAG-Versicherungen",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre.css"
        ],
        "tags": [
          "versicherungen",
          "DVAG",
          "Fahrzeugversicherung",
          "Altersvorsorge",
          "Rechtsschutz"
        ],
        "status": "prototype",
        "overview": "Die Seite bietet eine vollständige Übersicht über weitere Generali/DVAG Versicherungen, darunter Fahrzeug-, Altersvorsorge- und Rechtsschutzprodukte. Es gibt eine Tab-Navigation, die es den Nutzern ermöglicht, zwischen verschiedenen Versicherungsarten zu wechseln.",
        "elevator_pitch": "Eine zentrale Anlaufstelle für Informationen zu Generali/DVAG Versicherungen.",
        "target_audience": "Personen, die sich für Versicherungsprodukte interessieren.",
        "replit_md_path": "HTML-MD-EXPORT/01-finance-trading-tools/weitere-generali-dvag-versicherungen/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0249",
        "title": "cd5 — Enhanced Financial Dashboard / \"World Wide Market InformerAI\" (CD5)",
        "project": "cd5",
        "category": "Domusaurea-Fintech-Portal-Familie",
        "cluster": "Domusaurea-Fintech-Portal-Familie",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.0 CDN",
          "Chart.js CDN",
          "Vanilla JS",
          "Fetch API",
          "eodhistoricaldata.com"
        ],
        "tags": [
          "fintech",
          "dashboard",
          "hub",
          "stock-search",
          "chart.js",
          "eodhd"
        ],
        "status": "prototype",
        "overview": "Eine Bootstrap-Seite mit dem Namen \"Enhanced Financial Dashboard\" (Navbar-Brand: \"World Wide Market InformerAI\"): eine Suchleiste fuer ein beliebiges Aktien-Symbol, die per EOD Historical Data API Kursdaten laedt und in drei Chart.js-Liniendiagrammen (1 Jahr/1 Monat/1 Woche) sowie einem Kennzahlenblock (aktueller Kurs, Open/High/Low, Volumen, 52-Wochen-Hoch/Tief) darstellt. Die grosse Navbar mit verschachtelten Dropdowns verlinkt auf ca. 13 weitere externe domusaurea.tech-Tools.",
        "elevator_pitch": "Ein Einstiegs-Dashboard/Portal, das Aktien-Charting mit einer Sammlung von Links zu weiteren Fintech-Spezialtools (Fibonacci-Rechner, News, Yahoo-Finance-Ableger, Echtzeit-Indikatoren) kombiniert.",
        "target_audience": "Privatanleger, die einen zentralen Einstiegspunkt in das \"Domusaurea\"-Fintech-Oekosystem suchen.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/cd5/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0250",
        "title": "claude12index4 — DOMVS AVREA AI Trading Hub (CLAUDE12index4)",
        "project": "claude12index4",
        "category": "CLAUDE12-Terminal-Familie (Domvs Avrea AI Trading Hub)",
        "cluster": "CLAUDE12-Terminal-Familie (Domvs Avrea AI Trading Hub)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron/Inter",
          "Font Awesome 6.4.0",
          "kein Build-Prozess"
        ],
        "tags": [
          "fintech",
          "dashboard",
          "hub",
          "index-page",
          "multi-tool",
          "trading-tools-verzeichnis"
        ],
        "status": "prototype",
        "overview": "Eine grosse (1410+ Zeilen) dunkel gestaltete Hub-Seite unter dem Titel \"DOMVS AVREA - AI Trading Hub\": Hero-Bereich \"AI-Powered Trading Ecosystem\", darunter fuenf Sektionen (Platforms, Analysis Tools, Trading Tools, Specialized, Premium), die jeweils Karten mit Kurzbeschreibung und Link zu einer externen `domusaurea.tech/CLAUDE12*.html`-Unterseite zeigen.",
        "elevator_pitch": "Ein kuratiertes Verzeichnis von KI-gestuetzten Trading-/Analyse-Tools unter einer gemeinsamen Marke (\"CLAUDE12\"), praesentiert als \"Oekosystem\" statt als Einzelprodukt.",
        "target_audience": "Trader/Anleger, die verschiedene spezialisierte Analyse-Ansaetze (SMA, RSI-aehnliche Peak/Valley-Signale, Trendanalyse) ausprobieren wollen.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/claude12index4/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0251",
        "title": "dvag-daniel-dvagos — DVAG Finanzberater Portal",
        "project": "dvag-daniel-dvagos",
        "category": "CelestiaOS/DVAG-Finanzberatung",
        "cluster": "CelestiaOS/DVAG-Finanzberatung",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Font Awesome 6.0.0",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "finanzberatung",
          "celestiaos",
          "zugriffsmanagement",
          "beratungstools"
        ],
        "status": "prototype",
        "overview": "Das DVAG Finanzberater Portal bietet eine benutzerfreundliche Oberfläche für Finanzberater, um auf verschiedene Tools und Ressourcen zuzugreifen. Es nutzt ein modernes Design mit responsiven Elementen und einer klaren Struktur.",
        "elevator_pitch": "Ein zentrales Portal für Finanzberater zur Verwaltung von Ressourcen und Tools.",
        "target_audience": "Finanzberater und deren Kunden.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/dvag-daniel-dvagos/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0252",
        "title": "finindex — FinTech Dashboard (Domvs Avrea O.P.N, FINindex)",
        "project": "finindex",
        "category": "Domvs-Avrea-O.P.N-Fintech-Portal-Familie",
        "cluster": "Domvs-Avrea-O.P.N-Fintech-Portal-Familie",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bulma 0.9.3 CDN",
          "Font Awesome 6.0",
          "Vanilla JS",
          "Iframe-Embedding"
        ],
        "tags": [
          "fintech",
          "dashboard",
          "hub",
          "iframe-sammlung",
          "chatbot-widget",
          "gamma-site-links"
        ],
        "status": "prototype",
        "overview": "Eine Bulma-basierte Portalseite fuer \"Domvs Avrea O.P.N GmbH\": Navbar mit Dropdown-/Direktlinks zu ueber einem Dutzend Fintech-Tools (Major, Broker, GPT, AIFunds, InvestAI, PeakAI, TradeAI, InformAI, AICalc, AINews, AIBonds, AIOptions, LexikonAI, Game, eBook), eine ausklappbare Sidebar mit 19 gamma.site-Praesentationslinks (Marketing-/Pitch-Microsites), ein schwebendes Chat-Icon, das ein Iframe von `FINTECHbot.html` als Popup oeffnet, und eine grossflaechige Iframe-Einbettung einer gamma.site-Seite im Hauptbereich.",
        "elevator_pitch": "Ein zentrales \"Startportal\" fuer das gesamte Domvs-Avrea-Fintech-Oekosystem — Navigation zu Trading-Tools, KI-Chatbots und Marketing-Microsites an einem Ort.",
        "target_audience": "Besucher, die einen Ueberblick ueber das gesamte Domvs-Avrea-/Domusaurea-Angebot suchen.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/finindex/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0253",
        "title": "fintechapp — GlobalFinTech.net FinTech AI (Matrix-Theme-Portal)",
        "project": "fintechapp",
        "category": "GlobalFinTech.net-Portal-Familie",
        "cluster": "GlobalFinTech.net-Portal-Familie",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron",
          "Font Awesome 6.4.0",
          "Iframe-Embedding"
        ],
        "tags": [
          "fintech",
          "dashboard",
          "hub",
          "matrix-theme",
          "desktop-icon-launcher",
          "gamma-site-links"
        ],
        "status": "prototype",
        "overview": "Eine \"GlobalFinTech.net\"-Portalseite im Matrix-Grün-Theme (Hintergrundbild: animiertes \"Matrix Raining Code\"-GIF von Wikimedia): Logo+Ueberschrift \"FinTech AI\", ein Burger-Menue oeffnet eine Sidebar mit gamma.site-Praesentationslinks, der Hauptbereich zeigt ein Grid aus \"Desktop-Icons\" (Windows-Desktop-Metapher), die zu weiteren domusaurea.tech/globalfintech.net-Tools fuehren (ChatGPT-Custom-GPT, DANIEL1, DEEP1, FINTECHbot, BROKER-Serie, SMOOTH2, FINapp, FINTECHmensis, FINTECHindex3, CD5, NEWSboy, WIKIfintech3, AKTIENGAME1, FINTECHquiz, ZINSEN2, PROFIT1).",
        "elevator_pitch": "Ein \"Matrix\"-thematisiertes Desktop-Icon-Portal fuer das GlobalFinTech.net/Domvs-Avrea-Tool-Portfolio — eine alternative Domain/Markenvariante zum `finindex`-Portal.",
        "target_audience": "Besucher von globalfintech.net, die einen visuell auffaelligen Einstieg in dieselbe Tool-Sammlung wie bei `finindex`/`fintechadsbot3` suchen.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/fintechapp/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0254",
        "title": "genitus-globalfintech — Erweiterte Finanz-Dashboard-Anwendung",
        "project": "genitus-globalfintech",
        "category": "Domus-Aurea/Finanz-Dashboard",
        "cluster": "Domus-Aurea/Finanz-Dashboard",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.0",
          "Chart.js"
        ],
        "tags": [
          "finanz-dashboard",
          "investoren",
          "analysen",
          "charts",
          "forex",
          "kryptowaehrungen"
        ],
        "status": "prototype",
        "overview": "Die Webapp bietet ein erweitertes Finanz-Dashboard für Investoren und Finanzanalysten, das Echtzeit-Daten, Charts und Analysetools für Aktien, Indizes, Kryptowährungen und Forex bereitstellt.",
        "elevator_pitch": "Ein umfassendes Dashboard für Finanzanalysen und Markttrends.",
        "target_audience": "Investoren, Finanzanalysten.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/genitus-globalfintech/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0255",
        "title": "genitus-trading — Le MARCHÉ AI Landingpage & App-Index",
        "project": "genitus-trading",
        "category": "Genitus/Le-MARCHÉ-Oekosystem",
        "cluster": "Genitus/Le-MARCHÉ-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron/Roboto Condensed",
          "Material Icons",
          "Shepherd.js Onboarding-Tour"
        ],
        "tags": [
          "hub-portal",
          "landingpage",
          "fintech-index",
          "genitus",
          "le-marche",
          "guided-tour"
        ],
        "status": "production-ready",
        "overview": "Landingpage von \"Genitus Inc.\" (CEO Daniel Gereci) für die Marke \"Le MARCHÉ AI\": Hero-Bereich mit zwei Kartenspalten (\"Professional Trading Suite\" und \"AI-Powered Trading Solutions\") voller CTA-Buttons zu externen Replit-/domusaurea.tech-Apps, gefolgt von einer ausführlichen \"Discover Our Trading Apps\"-Sektion mit 14 Karten (je App: Titel, Beschreibung, 2-3 Feature-Chips, eigener CTA), Testimonial-Karussell, YouTube-Embed und Kontaktformular (mailto).",
        "elevator_pitch": "Eine zentrale Schaufenster-Seite, die das komplette Genitus/Le-MARCHÉ-Trading-Portfolio (16 Einzel-Apps) an einem Ort präsentiert und bewirbt.",
        "target_audience": "Interessenten/Trader, die über eine Suchmaschine oder Werbung auf die Marke stossen und dann zu einer der Einzel-Apps weitergeleitet werden sollen.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/genitus-trading/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0256",
        "title": "genitus-trading-premium — LeMarché AI Trading Hub (Sidebar-Dashboard)",
        "project": "genitus-trading-premium",
        "category": "Genitus/Le-MARCHÉ-Oekosystem",
        "cluster": "Genitus/Le-MARCHÉ-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Font Awesome 6.4.0 CDN",
          "Iframe-App-Switcher"
        ],
        "tags": [
          "hub-portal",
          "sidebar-dashboard",
          "iframe-switcher",
          "fintech-index",
          "genitus"
        ],
        "status": "production-ready",
        "overview": "Ein-Datei-Dashboard mit einklappbarer Sidebar (\"LeMarché\", 3 Kategorien: AI Intelligence, Markets, Advanced) und Hauptbereich mit Iframe, das die jeweils angeklickte externe App lädt. Vollständig responsive (Overlay-Sidebar auf Mobile), Standard-App beim Laden ist \"LeGraph\" (candlestick-analyzer.replit.app).",
        "elevator_pitch": "Ein einziges Cockpit, um zwischen neun spezialisierten KI-Trading-Apps zu wechseln, ohne Tabs/Lesezeichen jonglieren zu müssen.",
        "target_audience": "Power-User des Genitus-Ökosystems, die mehrere der Einzel-Apps parallel nutzen.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/genitus-trading-premium/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0257",
        "title": "genuss-index-2 — XETRA Genussschein Dokumenten- & Tool-Portal",
        "project": "genuss-index-2",
        "category": "Domvs-Avrea/Genussschein-Oekosystem",
        "cluster": "Domvs-Avrea/Genussschein-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Font Awesome 6.4.0",
          "Google Fonts Orbitron/Rajdhani/JetBrains Mono/Inter"
        ],
        "tags": [
          "document-index",
          "hub-portal",
          "genussschein",
          "compliance",
          "xetra",
          "domvs-avrea"
        ],
        "status": "production-ready",
        "overview": "Portal-Seite (\"DOMVS.AVREA Genussschein Portal\", Domain-Badge `XETRA.replit.app`) mit Stat-Leiste (7 Dokumente/Tools, 2 Emittenten, DE/EN, §221 AktG, 5 Jahre Laufzeit) und vier thematischen Kartensektionen: Prospekte & Verkaufsunterlagen, Vertragsdokumente & Urkunden, Performance & Marktdaten, Simulatoren & Demo-Tools, sowie eine fünfte Sektion \"XETRA Platform\" mit weiteren Handels-Demos.",
        "elevator_pitch": "Ein zentrales, professionell gestaltetes Dokumenten-Cockpit für alle Genussschein-Produkte von \"Domvs Avrea O.P.N GmbH\" und \"Genitus Inc.\" — von Prospekt bis Handelssimulation an einem Ort.",
        "target_audience": "Qualifizierte/akkreditierte Investoren, die sich über Genussscheine informieren und Vertragsunterlagen einsehen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/genuss-index-2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0258",
        "title": "genussindex — Genussschein Management Index (einfache Variante)",
        "project": "genussindex",
        "category": "Domvs-Avrea/Genussschein-Oekosystem",
        "cluster": "Domvs-Avrea/Genussschein-Oekosystem",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN",
          "Font Awesome 5.15.1",
          "Google Fonts Open Sans"
        ],
        "tags": [
          "document-index",
          "genussschein",
          "tailwind",
          "simple-hub"
        ],
        "status": "prototype",
        "overview": "Kurze (76 Zeilen) Tailwind-basierte Seite mit dunklem Grid aus sechs Karten, jede mit 1-2 Links zu externen Genussschein-Dokumenten/Tools auf `domusaurea.tech` und einer kurzen Beschreibung. Deutlich schlichter als die spätere Variante `genuss-index-2` (keine Stat-Leiste, keine Badges, keine Sektionierung nach Dokumententyp).",
        "elevator_pitch": "Ein einfacher, funktionaler Einstiegspunkt zu den Genussschein-Dokumenten und -Tools, bevor daraus das ausführlichere `genuss-index-2`-Portal wurde.",
        "target_audience": "Investoren/Interessenten, die schnellen Zugriff auf Prospekt, Vertrag, Rechner und Handelsplattform brauchen.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/genussindex/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0259",
        "title": "investment2 — Finanz Dashboard (AINVEST)",
        "project": "investment2",
        "category": "Domusaurea Finanz-Dashboard-Familie",
        "cluster": "Domusaurea Finanz-Dashboard-Familie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.1 CDN",
          "Vanilla JS",
          "IntersectionObserver",
          "Iframe-Embedding"
        ],
        "tags": [
          "fintech",
          "dashboard",
          "index-bundle",
          "lazy-iframe",
          "crypto",
          "dax",
          "dow",
          "nasdaq"
        ],
        "status": "prototype",
        "overview": "Sehr kompakte Sammelseite (63 Zeilen, `<title>Finanz Dashboard</title>`): neun `<div>`-Container mit `data-src`-Attribut laden per `IntersectionObserver` beim Scrollen jeweils eine externe domusaurea.tech-Unterseite als 1000px-hohes iFrame — praktisch ein vertikal gestapeltes Finanz-Dashboard-Bundle ohne eigene Logik.",
        "elevator_pitch": "Eine einzige Scroll-Seite, die neun verschiedene Finanz-Indizes/Dashboards (Krypto, DAX, DOW, NASDAQ, Broker) nacheinander lädt — Lazy-Loading spart Ladezeit, bis der Nutzer tatsächlich scrollt.",
        "target_audience": "Nutzer, die einen schnellen Sammel-Überblick über mehrere Marktsegmente wollen, ohne einzelne Seiten manuell aufzurufen.",
        "replit_md_path": "HTML-MD-EXPORT/02-finance-dashboards-index/investment2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0260",
        "title": "adrienn1 — Teen Finance: MVP UI (Tabs)",
        "project": "adrienn1",
        "category": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
        "cluster": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5 CDN",
          "Bootstrap Icons",
          "Google Fonts Orbitron",
          "Vanilla JS"
        ],
        "tags": [
          "fintech",
          "teen-finance",
          "mobile-mockup",
          "phone-frame",
          "gamification",
          "pitch-asset"
        ],
        "status": "prototype",
        "overview": "Statisches Phone-Frame-Mockup (390px Handyrahmen) einer fiktiven Finanz-App \"Teen Finance\" fuer Jugendliche. Zeigt einen Tab (\"Home\") mit Wallet-Guthaben, Sparziel-Fortschrittsbalken, Budget-Vorschau (Food & Snacks, Gaming) und einem Lernpfad-Teaser. Reine UI-Demo mit statischen Werten — keine Interaktivitaet ausser Tab-Struktur im Markup. Vermutlich ein Pitchdeck-Illustrationsscreen fuer das Investorenpaket.",
        "elevator_pitch": "Ein Gen-Z-Money-App-Konzept (\"Teen Finance\") mit Gamification (Level, XP, Sparziele) statt trockenem Banking-UI — ein Baustein im groesseren ADRIENN5-Investorenpaket.",
        "target_audience": "Investoren/Partner als Pitch-Publikum (siehe Businessplan/Compliance/Marketing-Dokumente in `adrienn5-index1`), nicht direkt Endnutzer.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/adrienn1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0261",
        "title": "adrienn12 — Teen Finance: AI Money Coach App",
        "project": "adrienn12",
        "category": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
        "cluster": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5 CDN",
          "Bootstrap Icons",
          "Chart.js CDN",
          "Google Fonts Orbitron",
          "Vanilla JS",
          "Fetch API",
          "externer AI-Proxy"
        ],
        "tags": [
          "fintech",
          "teen-finance",
          "ai-chatbot",
          "gamification",
          "budget-tracker",
          "pitch-asset"
        ],
        "status": "prototype",
        "overview": "Deutlich vollstaendigere Version der Teen-Finance-App (2811 Zeilen) mit 7 funktionsfaehigen Tabs: Home, Budget-Manager (mit Chart.js-Diagramm Fixed vs. Variable), AI Money Coach (Chat-Interface), Lernpfad (3 Level mit Lektionen), E-Book-Reader, Sparziele-Verwaltung, Einstellungen (inkl. Eltern-Zugang-Code, Feedback mit Sternebewertung).",
        "elevator_pitch": "\"Teen Finance\" — eine gamifizierte Finanz-App fuer Jugendliche mit echtem KI-Chat-Coach statt trockener Budget-Tabellen.",
        "target_audience": "Eltern & Teenager als Endnutzer; Investoren/Partner als Pitch-Publikum (siehe Businessplan/Compliance/Marketing-Dokumente in `adrienn5-index1`).",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/adrienn12/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0262",
        "title": "adrienn5-index1 — Teen Finance: Asset Index",
        "project": "adrienn5-index1",
        "category": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
        "cluster": "Teen-Finance-Oekosystem (ADRIENN5-Paket)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Font Awesome CDN",
          "Google Fonts",
          "Vanilla CSS Grid"
        ],
        "tags": [
          "hub-page",
          "asset-index",
          "pitch-deck",
          "teen-finance",
          "fintech-package"
        ],
        "status": "production-ready",
        "overview": "Eine reine **Hub-/Index-Seite**, die alle Assets des \"Teen Finance\"-Investoren-Pakets (ADRIENN5-Serie) auflistet und verlinkt: HTML-Prototypen, Pitchdecks, PDFs, Business-Dokumente. Kein eigener funktionaler Code — dient als Navigations-Uebersicht/Sitemap fuer das gesamte Paket.",
        "elevator_pitch": "Die \"Inhaltsverzeichnis\"-Seite eines kompletten Investoren-Pakets fuer die Teen-Finance-App-Idee — ein Klick-Zugang zu App-Mockups, Pitchdeck, Businessplan, Compliance-Doku, Marketing-Plan und PDFs.",
        "target_audience": "Investoren, Partner, oder der Autor selbst zur Uebersicht ueber das eigene Projektpaket.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/adrienn5-index1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0263",
        "title": "aktio-kratie — Manifest einer Staats-AG",
        "project": "aktio-kratie-claude-code",
        "category": "Domvs-Avrea/Politik-Manifest",
        "cluster": "Domvs-Avrea/Politik-Manifest",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "JavaScript"
        ],
        "tags": [
          "manifest",
          "staats-ag",
          "demokratie",
          "politik",
          "gesellschaft"
        ],
        "status": "prototype",
        "overview": "Die Seite präsentiert ein Manifest für eine Staats-AG, in dem Bürger als Eigentümer und die Wirtschaft als Betriebssystem betrachtet werden. Es wird eine kritische Analyse des modernen Staates vorgenommen.",
        "elevator_pitch": "Ein innovatives Konzept für eine Staats-AG, das Bürgerbeteiligung und wirtschaftliche Verantwortung vereint.",
        "target_audience": "Politisch Interessierte, Bürger, die an neuen Staatsformen interessiert sind.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/aktio-kratie-claude-code/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0264",
        "title": "big-fish-convo — KIDZ Ultimate Guide zur DVAG Verkaufsstrategie",
        "project": "big-fish-convo",
        "category": "DVAG-Verkaufsstrategie",
        "cluster": "DVAG-Verkaufsstrategie",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Materialize CSS",
          "Google Fonts"
        ],
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          "advisory",
          "strategy-paper",
          "portfolio-modell",
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        "is_stack_candidate": true
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      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0266",
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        "cluster": "DVAG Produktpräsentation",
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          "Tailwind CSS",
          "Font Awesome 6.5.1"
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          "VSP",
          "Altersvorsorge",
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      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0267",
        "title": "DVAGscript — DVAG-SALES-script1",
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          "Bootstrap 5.3.0",
          "CSS"
        ],
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          "verkaufsstrategien",
          "dvag",
          "vermögensberatung"
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        "elevator_pitch": "Eine umfassende Anleitung für DVAG-Vertreter zur Verbesserung ihrer Verkaufsstrategien.",
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        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0268",
        "title": "expose — Exposé für ein KI-Webinar zur Webentwicklung",
        "project": "expose",
        "category": "Domvs-Avrea/KI-Webinar",
        "cluster": "Domvs-Avrea/KI-Webinar",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "JavaScript"
        ],
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          "webentwicklung",
          "ki",
          "html",
          "css",
          "javascript",
          "portfolio",
          "zertifikat"
        ],
        "status": "prototype",
        "overview": "Die Webseite bietet ein Exposé für ein KI-gestütztes Webinar, das Arbeitsuchende, Quereinsteiger und Selbstständige in die Webentwicklung einführt. Der Kurs umfasst HTML, CSS und JavaScript, ein Portfolio-Projekt und ein Zertifikat.",
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        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0269",
        "title": "TheLEAD — GEMINI-genius-mistral-LEADS2",
        "project": "gemini-genius-mistral-leads2",
        "category": "Domvs-Avrea/Lead Management Ecosystem",
        "cluster": "Domvs-Avrea/Lead Management Ecosystem",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
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          "CSS",
          "keine JS-Logik"
        ],
        "tags": [
          "lead-manager",
          "crm",
          "datenexport",
          "business-intelligence"
        ],
        "status": "prototype",
        "overview": "Die Lead Manager-App zeigt 6001 Leads an und ermöglicht das Filtern nach verschiedenen Kriterien sowie den Export von Daten als CSV oder JSON. Sie ist als statische HTML-Seite umgesetzt.",
        "elevator_pitch": "Ein leistungsstarkes Tool zur Verwaltung und Analyse von Leads.",
        "target_audience": "Vertriebs- und Marketingteams.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/gemini-genius-mistral-leads2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
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      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0270",
        "title": "generali-allfinanz-verkaufssystem-komplett — Allfinanz-Verkaufssystem für DVAG-Berater",
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        "tech_stack": [
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          "Materialize CSS",
          "Google Fonts"
        ],
        "tags": [
          "DVAG",
          "Allfinanz",
          "Sachversicherungen",
          "Beratung",
          "Bedarfsanalyse"
        ],
        "status": "prototype",
        "overview": "Das Allfinanz-Verkaufssystem für DVAG-Berater bietet ein umfassendes Konzept für Sachversicherungen, einschließlich persönlicher Betreuung und Bedarfsanalyse.",
        "elevator_pitch": "Ein durchdachtes Gesamtkonzept für Sachversicherungen, das DVAG-Beratern hilft, ihre Kunden optimal zu betreuen.",
        "target_audience": "DVAG-Berater und deren Kunden.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/generali-allfinanz-verkaufssystem-komplett/project.md",
        "source": "new-html-stack.json",
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        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
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      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0271",
        "title": "genitus-bonds6 — Genitus Inc. AI Profit Participation Certificates",
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        "category": "Genitus-Investorenunterlagen (Certificate/Genussschein-Familie)",
        "cluster": "Genitus-Investorenunterlagen (Certificate/Genussschein-Familie)",
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        "tech_stack": [
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          "Vanilla CSS/JS",
          "Chart.js",
          "Google Fonts Orbitron/Rajdhani/JetBrains Mono",
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          "pitch-deck",
          "investor-relations",
          "profit-participation-certificate",
          "genitus",
          "finance-marketing"
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        "status": "prototype",
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        "elevator_pitch": "\"Algorithm-Driven Profit Participation Certificates\" — KI-gesteuerte Gewinnbeteiligung mit garantiertem Floor und quartalsweiser Ausschuettung, verpackt als institutionelles Delaware-C-Corp-Produkt.",
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        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
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        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0272",
        "title": "genitus-consulting — Domvs Avrea O.P.N: AI Technology Consulting",
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          "Tailwind CDN",
          "Google Fonts Montserrat",
          "Vanilla JS"
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          "ai-agency",
          "company-website",
          "portfolio",
          "blog",
          "contact-form"
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        "elevator_pitch": "\"Domvs Avrea O.P.N — premier provider of advanced artificial intelligence solutions\" fuer Business-Transformation und Wachstum.",
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        "is_local_project": false,
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        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0273",
        "title": "genitus-marc9schein3 — Genussschein-Zertifikat Domvs Avrea O.P.N GmbH",
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        "category": "Domvs-Avrea-O.P.N-Investorenunterlagen (Genussschein-Familie)",
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        "rebuild_grade": "B",
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          "Vanilla CSS",
          "Google Fonts Orbitron"
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          "genussschein",
          "certificate",
          "legal-document",
          "investor-relations",
          "domvs-avrea"
        ],
        "status": "prototype",
        "overview": "Ein einzelnes, statisches \"Zertifikat\" im Urkunden-Look (goldener Doppelrahmen auf schwarzem Hintergrund): Genussschein der \"Domvs Avrea O.P.N GmbH\" mit Nennwert EUR 1.000, Emissionsbedingungen nach §221 AktG, variablem erfolgsabhaengigem Zinssatz, 5 Jahren Laufzeit (automatische Verlaengerung um weitere 5 Jahre) und ausfuehrlichen Risikohinweisen.",
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        "target_audience": "Potenzielle Genussschein-Zeichner (Investoren oder ggf. Mitarbeiter-Beteiligungsprogramm) der Domvs-Avrea-Gruppe.",
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        "is_prompt": false,
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          "Chart.js 4.4.0 CDN",
          "Font Awesome 6.4.0",
          "Google Fonts Orbitron/Rajdhani/JetBrains Mono/Inter"
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          "investment-certificate",
          "compliance-page",
          "reg-d",
          "genitus",
          "marketing"
        ],
        "status": "production-ready",
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        "elevator_pitch": "Ein institutionell gestaltetes Zertifikats-Prospekt, das +18,9% p.a. AI-gesteuerte Rendite bei garantierter 4,5%-Mindestverzinsung verspricht — gerichtet an akkreditierte Grossanleger.",
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        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/genitusprofitcert-1/project.md",
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        "is_local_project": false,
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        "is_stack_candidate": true
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        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0275",
        "title": "grauermarktfiannzprompt5 — Ultimate Guide für Finanzberater",
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        "category": "Domvs-Avrea/Finanzberatung",
        "cluster": "Domvs-Avrea/Finanzberatung",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Font Awesome 6.4.0",
          "Google Fonts Montserrat",
          "Orbitron"
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        "tags": [
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          "vertrieb",
          "sales-coaching",
          "kundenbeziehungen",
          "strategien"
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        "elevator_pitch": "Ein unverzichtbarer Leitfaden für Finanzberater und Vertriebsprofis.",
        "target_audience": "Finanzberater, Vertriebsprofis.",
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        "is_prompt": false,
        "is_stack_candidate": true
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        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0276",
        "title": "infosys1lemarche2 — GoldShield AI & Le MARCHÉ AI: Investor Brochure",
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        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS",
          "Google Fonts Orbitron"
        ],
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          "pitch-deck",
          "pricing",
          "goldshield",
          "le-marche",
          "affiliate"
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        "status": "prototype",
        "overview": "Statische Verkaufsbroschuere fuer zwei GoldShield-Produkte: \"GoldShield AI – Premium Financial Intelligence\" ($50/Monat) und \"Le MARCHÉ AI – Precision Trading Suite\" ($20/Monat). Listet Features, Vorteile und Preise beider Produkte auf, gefolgt von zwei zusaetzlichen \"Verkaufstext\"-Abschnitten mit emotionalerer Ansprache (\"Investiere wie ein Profi. Ohne einer zu sein.\") und einer abschliessenden Vergleichstabelle \"Warum du JETZT starten solltest\".",
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        "source": "new-html-stack.json",
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      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0277",
        "title": "kidz-finanz-konzept — Verkaufsstrategie für DVAG-Produkte",
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        "rebuild_grade": "B",
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          "Materialize CSS",
          "Google Fonts"
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          "Verkaufsstrategie",
          "Familienversicherung",
          "Gesundheitsplan",
          "Bausparen"
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        "status": "prototype",
        "overview": "Die KIDZ Ultimate Guide-Seite bietet eine detaillierte Verkaufsstrategie für DVAG-Produkte, einschließlich Produktanalysen und Verkaufsskripten, speziell für Familien.",
        "elevator_pitch": "Umfassender Leitfaden zur Verkaufsstrategie für DVAG-Produkte.",
        "target_audience": "Familien und Versicherungsvertreter.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/kidz-finanz-konzept/project.md",
        "source": "new-html-stack.json",
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        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0278",
        "title": "kidz-ultimate-mit-allen-vergleichen — KIDZ-Konzept REAL Analyse",
        "project": "kidz-ultimate-mit-allen-vergleichen",
        "category": "KIDZ-Finanzkonzept",
        "cluster": "KIDZ-Finanzkonzept",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS"
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          "Finanzanalyse",
          "Eltern",
          "Vermögensaufbau",
          "ETF",
          "DVAG"
        ],
        "status": "prototype",
        "overview": "Die Webseite bietet eine transparente und ehrliche Analyse des KIDZ-Konzepts, einschließlich Kosten, Renditen und Vergleichen zu ETFs und Versicherungen. Sie richtet sich an Eltern, die ihre Kinder finanziell absichern möchten.",
        "elevator_pitch": "Eine klare und ehrliche Darstellung des KIDZ-Konzepts zur finanziellen Absicherung von Kindern.",
        "target_audience": "Eltern, die an langfristiger Finanzplanung interessiert sind.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/kidz-ultimate-mit-allen-vergleichen/project.md",
        "source": "new-html-stack.json",
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        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0279",
        "title": "koran-bibel-erweiterte-analyse-alle-personen — Erweiterte Analyse der biblischen Personen im Koran",
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        "cluster": "Koran-Bibel-Analyse",
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        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2",
          "Bootstrap Icons 1.11.1"
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        "tags": [
          "koran",
          "bibel",
          "analyse",
          "katholisch",
          "chronologie"
        ],
        "status": "prototype",
        "overview": "Diese Webseite bietet eine umfassende chronologische Analyse der 28 im Koran erwähnten biblischen Personen, einschließlich Vergleichen zu biblischen Quellen und historischen Unterschieden, speziell aus einer katholischen Perspektive.",
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        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
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        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0280",
        "title": "livre2 — FinTech Frontier: Die Reise eines Traders mit Domvs Avrea O.P.N",
        "project": "livre2",
        "category": "Domvs Avrea O.P.N Marketing-Narrativ",
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        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Spectre.css CDN",
          "Google Fonts Orbitron"
        ],
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          "fintech",
          "marketing-narrative",
          "ebook",
          "pitch-content",
          "domvs-avrea"
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        "status": "content-only",
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        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/livre2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0281",
        "title": "neuralhausmeister — Intelligentes Facility Management",
        "project": "neuralhausmeister",
        "category": "Genitus Inc Facility Management",
        "cluster": "Genitus Inc Facility Management",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS"
        ],
        "tags": [
          "facility-management",
          "hausmeisterdienste",
          "reinigungsservice",
          "ki-beratung",
          "immobilienverwaltung"
        ],
        "status": "prototype",
        "overview": "Die Webseite von Genitus Inc bietet eine Übersicht über intelligente Facility Management-Dienste, einschließlich Hausmeisterdiensten, Reinigungsservice und KI-gestützter Beratung für Immobilien in Düsseldorf.",
        "elevator_pitch": "Intelligentes Facility Management für Immobilienbesitzer und -verwalter.",
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        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/neuralhausmeister/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0282",
        "title": "NOSTRA-AETATE — nostra-aetate-analyse (3)",
        "project": "nostra-aetate-analyse-3",
        "category": "Domus-Aurea/Nostra-Aetate-Analyse",
        "cluster": "Domus-Aurea/Nostra-Aetate-Analyse",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2",
          "Bootstrap Icons 1.11.1"
        ],
        "tags": [
          "theologische Analyse",
          "Nostra Aetate",
          "katholische Kirche",
          "Islam",
          "Religionsvergleich"
        ],
        "status": "prototype",
        "overview": "Die Webseite bietet eine kritische theologische Analyse des Konzilsdokuments Nostra Aetate, mit einem besonderen Fokus auf das Verhältnis der katholischen Kirche zum Islam.",
        "elevator_pitch": "Eine tiefgehende Analyse des Nostra Aetate-Dokuments zur Förderung des interreligiösen Dialogs.",
        "target_audience": "Theologen, Religionswissenschaftler, Interessierte an interreligiösen Themen.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/nostra-aetate-analyse-3/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
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      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0283",
        "title": "va-vep-final-komplett — VA & VEP Schulungsunterlage 2026",
        "project": "va-vep-final-komplett",
        "category": "DVAG-Altersvorsorge",
        "cluster": "DVAG-Altersvorsorge",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Materialize CSS",
          "Google Fonts"
        ],
        "tags": [
          "finanzberatung",
          "altersvorsorge",
          "dvag",
          "vergleich",
          "schulung"
        ],
        "status": "prototype",
        "overview": "Die VA & VEP Schulungsunterlage bietet einen umfassenden Vergleich der DVAG-Altersvorsorgeprodukte VA, VEP und VASP für 2026. Sie richtet sich an Finanzberater und Kunden, die sich über die Unterschiede informieren möchten.",
        "elevator_pitch": "Umfassende Schulungsunterlage für Altersvorsorgeprodukte.",
        "target_audience": "Finanzberater und interessierte Kunden.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/va-vep-final-komplett/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
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        "is_prompt": false,
        "is_stack_candidate": true
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      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0284",
        "title": "vasp-final-mit-kundenprofilen-1 — VASP - Vermögensaufbau & Sicherheitsplan",
        "project": "vasp-final-mit-kundenprofilen-1",
        "category": "VASP-Vermögensaufbau",
        "cluster": "VASP-Vermögensaufbau",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre.css"
        ],
        "tags": [
          "VASP",
          "Rentenversicherung",
          "Vermögensaufbau",
          "Sicherheitsplan",
          "Generali"
        ],
        "status": "prototype",
        "overview": "Die Webseite bietet eine umfassende Analyse des Vermögensaufbau- und Sicherheitsplans (VASP) nach Tarif VAN25. Sie erklärt die Vorteile und Komponenten der Rentenversicherung und enthält interaktive Elemente wie Akkordeons und Tabs.",
        "elevator_pitch": "Detaillierte Analyse der Rentenversicherung für potenzielle Kunden.",
        "target_audience": "Interessierte an Rentenversicherungen und Vermögensaufbau.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/vasp-final-mit-kundenprofilen-1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0285",
        "title": "vibe-english — Fallstudie über den KI Power Index (KIP)",
        "project": "vibe-english",
        "category": "Genitus Inc./KI Power Index",
        "cluster": "Genitus Inc./KI Power Index",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.0",
          "Font Awesome 6.0.0"
        ],
        "tags": [
          "case-study",
          "KI Power Index",
          "Genitus Inc",
          "Softwareentwicklung",
          "Janitor-Entwickler"
        ],
        "status": "prototype",
        "overview": "Die Webseite präsentiert eine detaillierte Fallstudie über den KI Power Index (KIP) von Genitus Inc., einschließlich des Entwicklungsprozesses und der Herausforderungen, die ein Janitor-Entwickler überwunden hat.",
        "elevator_pitch": "Eine umfassende Analyse der Entwicklung des KI Power Index.",
        "target_audience": "Fachleute in der Softwareentwicklung, Investoren, Interessierte an KI.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/vibe-english/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0286",
        "title": "vsp-generali-komplett — VSP Vermögenssicherungspolice von Generali",
        "project": "vsp-generali-komplett",
        "category": "Generali/Vermögenssicherung",
        "cluster": "Generali/Vermögenssicherung",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre.css"
        ],
        "tags": [
          "versicherung",
          "vermögenssicherung",
          "generali",
          "vsp",
          "finanzschutz"
        ],
        "status": "prototype",
        "overview": "Die VSP-Vermögenssicherungspolice von Generali bietet umfassenden Schutz für private Vermögenswerte und kombiniert Pflicht-Bausteine wie Privathaftpflicht, Unfallversicherung und Hausratversicherung. Die Seite enthält interaktive Elemente wie Akkordeons und Tabs zur besseren Benutzererfahrung.",
        "elevator_pitch": "Eine umfassende Versicherungslösung, die mehrere Schutzbausteine in einem Paket vereint.",
        "target_audience": "Privatpersonen, die ihre Vermögenswerte absichern möchten.",
        "replit_md_path": "HTML-MD-EXPORT/03-finance-reports-strategy/vsp-generali-komplett/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0287",
        "title": "ai-native-os-guide (1) — AI-natives Betriebssystem",
        "project": "ai-native-os-guide-1",
        "category": "AI-native Betriebssysteme",
        "cluster": "AI-native Betriebssysteme",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2",
          "Google Fonts",
          "CSS"
        ],
        "tags": [
          "AI-native OS",
          "lokale LLMs",
          "RAG-Pipeline",
          "CRUD-Operationen",
          "offline AI"
        ],
        "status": "prototype",
        "overview": "Die Webseite beschreibt ein AI-natives Betriebssystem, das lokale Mistral-LLMs nutzt und Funktionen wie eine RAG-Pipeline sowie CRUD-Operationen bietet. Es handelt sich um eine moderne, ansprechende Benutzeroberfläche, die auf Interaktivität und Benutzerfreundlichkeit ausgelegt ist.",
        "elevator_pitch": "Ein innovatives Betriebssystem, das KI-Funktionalitäten lokal integriert.",
        "target_audience": "Entwickler und Unternehmen, die AI-native Lösungen suchen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/ai-native-os-guide-1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0288",
        "title": "anwaltsafe4 — KI Anwalts Bot",
        "project": "anwaltsafe4",
        "category": "Domvs-Avrea/Anwaltsbot",
        "cluster": "Domvs-Avrea/Anwaltsbot",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "KI Anwalts Bot",
          "Rechtsberatung",
          "Chatbot",
          "Mietrecht",
          "Unternehmensrecht"
        ],
        "status": "prototype",
        "overview": "Die Web-App \"KI Anwalts Bot\" unterstützt Anwälte und Rechtsanwälte bei der Beratung zu verschiedenen Rechtsbereichen, darunter Kündigung, Mietrecht und Unternehmensrecht.",
        "elevator_pitch": "Ein interaktiver Bot, der rechtliche Fragen beantwortet und spezifische Informationen bereitstellt.",
        "target_audience": "Anwälte, Rechtsanwälte und juristische Berater.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/anwaltsafe4/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0289",
        "title": "anwaltvision11 — Sichere Bildanalyse-Webapp",
        "project": "anwaltvision11",
        "category": "Domvs-Avrea/AI-gestuetzte Bildanalyse",
        "cluster": "Domvs-Avrea/AI-gestuetzte Bildanalyse",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "bildanalyse",
          "openai",
          "gpt-4o",
          "text-extrahieren",
          "sichere-verbindung"
        ],
        "status": "prototype",
        "overview": "Die Webapp ermöglicht Nutzern das Hochladen von Bildern zur Analyse durch GPT-4o mini Vision. Ergebnisse werden in Textform extrahiert und bereitgestellt.",
        "elevator_pitch": "Eine sichere Plattform zur Analyse von Bildern und Extraktion von Text.",
        "target_audience": "Nutzer, die Bildinhalte analysieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/anwaltvision11/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0290",
        "title": "autobot10prompt2batch4auto — Batch-Processor für Mistral AI",
        "project": "autobot10prompt2batch4auto",
        "category": "Mistral AI",
        "cluster": "Mistral AI",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "JSZip"
        ],
        "tags": [
          "batch-processor",
          "Mistral AI",
          "Prompt-Verarbeitung",
          "OpenAI"
        ],
        "status": "prototype",
        "overview": "Die Webapp ist ein Batch-Processor für die Mistral AI Streaming Interface, der es ermöglicht, mehrere Prompts gleichzeitig zu verarbeiten und die Ergebnisse herunterzuladen.",
        "elevator_pitch": "Ein leistungsstarker Batch-Processor für die effiziente Verarbeitung von KI-Prompts.",
        "target_audience": "Entwickler und Datenwissenschaftler, die mit KI-gestützten Anwendungen arbeiten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/autobot10prompt2batch4auto/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0291",
        "title": "intra22 — BILDER-INTRANET22",
        "project": "bilder-intranet22",
        "category": "Domus-Aurea/OS",
        "cluster": "Domus-Aurea/OS",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Font Awesome",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "intranet",
          "KI-Suche",
          "Projektverwaltung",
          "DOMUSAUREA"
        ],
        "status": "prototype",
        "overview": "DOMUSAUREA OS v1.5 ist eine Intranet-Webapp, die KI-gestützte Funktionen zur Verwaltung und Suche von HTML-Anwendungen, Bildern und Projekten bietet. Sie integriert Funktionen wie NeuralView und GPTBLUE.",
        "elevator_pitch": "Eine innovative Intranet-Lösung zur effizienten Verwaltung von Projekten und Bildern mit KI-Integration.",
        "target_audience": "Unternehmen, die ihre internen Ressourcen und Anwendungen verwalten möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/bilder-intranet22/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0292",
        "title": "KIP-INDEX — Genitus Case Study Suite",
        "project": "case-study-kipower1-index3",
        "category": "Genitus Case Study Suite",
        "cluster": "Genitus Case Study Suite",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Font Awesome",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "case-study",
          "ai-generated",
          "research",
          "analysis",
          "insights"
        ],
        "status": "prototype",
        "overview": "Die Genitus Case Study Suite bietet eine Sammlung von KI-generierten Fallstudien für Forschung, Analyse und Einblicke. Die Webanwendung ermöglicht den Zugriff auf verschiedene Fallstudien durch Tabs und bietet Tastaturkürzel für schnelle Navigation.",
        "elevator_pitch": "Zugriff auf eine umfassende Sammlung von KI-generierten Fallstudien.",
        "target_audience": "Forscher, Analysten, Studenten.",
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        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0293",
        "title": "chatbot-standalone-4 — Genitus AI Chatbot",
        "project": "chatbot-standalone-4",
        "category": "Genitus AI Chatbot",
        "cluster": "Genitus AI Chatbot",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome 6.4.0"
        ],
        "tags": [
          "chatbot",
          "ai",
          "genitus",
          "web-app",
          "interaktive KI"
        ],
        "status": "production",
        "overview": "Der Genitus AI Chatbot ist eine Web-App, die es Benutzern ermöglicht, mit verschiedenen KI-Modellen zu interagieren. Die App bietet Funktionen zur Nachrichtenübertragung, Modellauswahl und automatischer Fortsetzung.",
        "elevator_pitch": "Interaktive Chatbot-App zur Kommunikation mit verschiedenen KI-Modellen.",
        "target_audience": "Technikaffine Nutzer, die mit KI interagieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/chatbot-standalone-4/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0294",
        "title": "claude11 — Anthropic Claude Chatbot",
        "project": "claude11",
        "category": "N/A",
        "cluster": "N/A",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Semantic UI",
          "Google Fonts",
          "Prism.js"
        ],
        "tags": [
          "chatbot",
          "AI",
          "Claude",
          "Anthropic",
          "Web-App"
        ],
        "status": "live",
        "overview": "Die Web-App ermöglicht Benutzern, mit einem KI-Assistenten zu chatten, der Bilder und Code analysieren kann. Sie bietet verschiedene Modelle und Parameter zur Anpassung der Interaktion.",
        "elevator_pitch": "Interaktive Chatbot-App zur Unterstützung bei der Analyse von Bildern und Code.",
        "target_audience": "Entwickler, Technikbegeisterte und Unternehmen, die KI-gestützte Lösungen suchen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/claude11/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0295",
        "title": "STUDIsafe — CLAUDE7studi1",
        "project": "claude7studi1",
        "category": "Domvs-Avrea/Lernbot-Ökosystem",
        "cluster": "Domvs-Avrea/Lernbot-Ökosystem",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript"
        ],
        "tags": [
          "lernstrategien",
          "prüfungsvorbereitung",
          "chatbot",
          "studienhilfe"
        ],
        "status": "prototype",
        "overview": "Die Studenten Lernbot-App bietet spezifische Lernstrategien, Prüfungsvorbereitungshilfen und Unterstützung bei der Erstellung von Facharbeiten. Sie deckt Themen wie effektive Lernmethoden, Zeitmanagement und Zitationsstile ab.",
        "elevator_pitch": "Ein interaktiver Lernbot, der Studierenden hilft, ihre Lernstrategien zu verbessern.",
        "target_audience": "Studierende, die Unterstützung bei der Prüfungsvorbereitung benötigen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/claude7studi1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0296",
        "title": "crmsafe — Orbitron CRM",
        "project": "crmsafe",
        "category": "Domvs-Avrea/CRM-Management",
        "cluster": "Domvs-Avrea/CRM-Management",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "JavaScript",
          "LocalStorage"
        ],
        "tags": [
          "CRM",
          "Kundenbeziehungsmanagement",
          "LocalStorage",
          "AI-Assistant"
        ],
        "status": "prototype",
        "overview": "Orbitron CRM ist eine lokale Webanwendung zur Verwaltung von Kundenkontakten, Aufgaben und Snippets. Sie nutzt den LocalStorage des Browsers zur Datenverwaltung und bietet eine benutzerfreundliche Oberfläche.",
        "elevator_pitch": "Ein umfassendes CRM-Tool zur Verwaltung von Kundenbeziehungen mit AI-Unterstützung.",
        "target_audience": "Kleine bis mittlere Unternehmen, die ihre Kundenbeziehungen optimieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/crmsafe/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0297",
        "title": "crmsafeclaude6 — LeClaude Chat-App",
        "project": "crmsafeclaude6",
        "category": "Domvs-Avrea/LeClaude-KI-Interaktion",
        "cluster": "Domvs-Avrea/LeClaude-KI-Interaktion",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Google Fonts",
          "Prism.js"
        ],
        "tags": [
          "chat-app",
          "KI-Assistent",
          "Claude-Modelle",
          "API-Integration"
        ],
        "status": "prototype",
        "overview": "LeClaude ist eine eigenständige Chat-App, die es Benutzern ermöglicht, mit verschiedenen Claude-KI-Modellen zu interagieren. Die App bietet Einstellungen für Modellauswahl, API-Schlüssel und andere Parameter.",
        "elevator_pitch": "Interaktive Chat-App zur Nutzung von Claude-KI-Modellen.",
        "target_audience": "Entwickler und KI-Interessierte.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/crmsafeclaude6/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0298",
        "title": "crmsafeexcel6bot10 — ORBITRON: Finanzanalyse mit KI-Chat und Excel-Tool",
        "project": "crmsafeexcel6bot10",
        "category": "ORBITRON",
        "cluster": "ORBITRON",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "finanzanalyse",
          "ki-chat",
          "excel-tool",
          "datenverarbeitung",
          "finanzberatung"
        ],
        "status": "prototype",
        "overview": "ORBITRON ist eine Web-App, die Finanzanalysen mit einer KI-unterstützten Chat-Funktion und einem Excel-Tool kombiniert. Sie richtet sich an Finanzexperten und Analysten, die komplexe Datenanalysen und Beratung benötigen.",
        "elevator_pitch": "Eine umfassende Lösung für Finanzanalysen mit interaktiven Chat- und Excel-Tools.",
        "target_audience": "Finanzexperten und Analysten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/crmsafeexcel6bot10/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0299",
        "title": "crtnoire1 — CRT Noir Chatbot",
        "project": "crtnoire1",
        "category": "Nostalgische Chatbot-Anwendungen",
        "cluster": "Nostalgische Chatbot-Anwendungen",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "JavaScript"
        ],
        "tags": [
          "nostalgischer Chatbot",
          "retro-Design",
          "Textgenerierung",
          "Bildgenerierung",
          "1940er-Atmosphäre"
        ],
        "status": "prototype",
        "overview": "CRT Noir Chat ist ein nostalgischer Chatbot im Retro-Stil der 1940er Jahre. Er bietet Funktionen zur Text- und Bildgenerierung sowie eine Chat-Funktion, die eine nostalgische Erfahrung für die Nutzer schafft.",
        "elevator_pitch": "Ein Chatbot, der nostalgische Erlebnisse in einem retro-futuristischen Design bietet.",
        "target_audience": "Nutzer, die an nostalgischen Erlebnissen und interaktiven Chatbot-Anwendungen interessiert sind.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/crtnoire1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0300",
        "title": "demo-studio4 — DEMO Studio für AI-Tools",
        "project": "demo-studio4",
        "category": "DVAG AI Tools",
        "cluster": "DVAG AI Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Google Fonts Orbitron",
          "Font Awesome 6.4.0"
        ],
        "tags": [
          "AI-Tools",
          "Demovideos",
          "Slideshow",
          "Sprachaufnahmen",
          "Videoaufnahme"
        ],
        "status": "prototype",
        "overview": "Das DEMO Studio ermöglicht die Erstellung von Demovideos durch Hochladen von Sprachaufnahmen und Steuerung einer Slideshow. Es bietet Funktionen für den Vollbildmodus und die Präsentation von AI-Tools.",
        "elevator_pitch": "Erstellen Sie ansprechende Demovideos für Ihre AI-Tools mit Leichtigkeit.",
        "target_audience": "Entwickler, Marketer, Unternehmen im AI-Bereich.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/demo-studio4/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0301",
        "title": "CATHolic — domus.org.catholic",
        "project": "domus-org-catholic",
        "category": "Domus-Aurea/Katholische KI-Plattform",
        "cluster": "Domus-Aurea/Katholische KI-Plattform",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Font Awesome 6.0.0",
          "Google Fonts Inter",
          "Orbitron"
        ],
        "tags": [
          "katholische-ki",
          "spirituelle-tools",
          "digitale-assistenten",
          "enzyklopädie"
        ],
        "status": "prototype",
        "overview": "Die Catholic AI-Plattform bietet KI-gestützte spirituelle Tools, Enzyklopädien und digitale Assistenten für Katholiken, um das digitale Zeitalter zu nutzen.",
        "elevator_pitch": "Eine innovative Plattform, die Glauben und Technologie vereint.",
        "target_audience": "Katholiken, die digitale Ressourcen nutzen möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/domus-org-catholic/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0302",
        "title": "dvag-advisor-2-kip-liste-pitch2-akorbitron10 — DVAG Arbeitskreisläufe Präsentation",
        "project": "dvag-advisor-2-kip-liste-pitch2-akorbitron10",
        "category": "DVAG Finanzberatung",
        "cluster": "DVAG Finanzberatung",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Google Fonts Orbitron",
          "Font Awesome 6.4.0"
        ],
        "tags": [
          "DVAG",
          "Finanzberatung",
          "Arbeitskreisläufe",
          "finanzielle Freiheit",
          "Kundenorientierung"
        ],
        "status": "prototype",
        "overview": "Die Webapp zeigt die vier Phasen der DVAG-Arbeitskreisläufe zur finanziellen Freiheit: Start, Ersttermin, Beratung und Betreuung. Sie richtet sich an Finanzberater und deren Kunden und bietet eine interaktive Präsentation.",
        "elevator_pitch": "Interaktive Präsentation der DVAG-Arbeitskreisläufe zur Unterstützung von Finanzberatern.",
        "target_audience": "Finanzberater und Kunden.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-advisor-2-kip-liste-pitch2-akorbitron10/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0303",
        "title": "dvag-celestiao7-tradingplan-claude2 — Anthropic Claude Chatbot (Direct-API-Client)",
        "project": "dvag-celestiao7-tradingplan-claude2",
        "category": "unbekannt (generischer Claude-Chat-Client)",
        "cluster": "unbekannt (generischer Claude-Chat-Client)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Semantic UI CDN",
          "Google Fonts Lato/Nunito/Fira Code",
          "Prism.js",
          "PDF.js",
          "Vanilla JS",
          "Fetch API",
          "api.anthropic.com direkt"
        ],
        "tags": [
          "ai-agent",
          "chatbot",
          "claude-api",
          "anthropic",
          "vision-api",
          "direct-browser-access"
        ],
        "status": "prototype",
        "overview": "Ein vollstaendiger, generischer Chat-Client fuer die Anthropic-API: Nutzer traegt einen eigenen API-Key (`sk-ant-...`) ein, waehlt implizit das Modell `claude-3-7-sonnet-20250219` und chattet direkt im Browser mit Claude — inklusive Bild-Upload (Anthropic Vision API), Datei-Upload, Code-Syntax-Highlighting (Prism.js), PDF-Rendering (PDF.js) und Chat-Export.",
        "elevator_pitch": "Ein \"Bring-your-own-API-Key\"-Chat-Frontend fuer Claude, das direkt im Browser laeuft — kein eigenes Backend noetig.",
        "target_audience": "Entwickler/Power-User, die ohne eigenes Hosting einen Claude-Chat mit Bild-/Datei-Support nutzen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-celestiao7-tradingplan-claude2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0304",
        "title": "dvag-celestiao7-tradingplan1-lecode10auto — LeCode AI Assistant (DVAG Edition, Auto-Continue-Variante)",
        "project": "dvag-celestiao7-tradingplan1-lecode10auto",
        "category": "LeCode-AI-Assistant-Familie (DVAG-Edition)",
        "cluster": "LeCode-AI-Assistant-Familie (DVAG-Edition)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre.css CDN",
          "Google Fonts Orbitron",
          "Font Awesome",
          "Ace Editor",
          "Prism.js",
          "Vanilla JS",
          "Fetch API",
          "theserver-open-ai.replit.app"
        ],
        "tags": [
          "ai-agent",
          "code-generator",
          "coding-assistant",
          "mistral-codestral",
          "dvag-branding",
          "auto-continue"
        ],
        "status": "prototype",
        "overview": "Nahezu 1:1-Zwilling von `dvag-celestiao7-tradingplan1-lecode8` — derselbe \"LeCode AI Assistant\", derselbe Codestral-Proxy-Aufruf. Unterschied: die Auto-Continue-Checkbox ist hier in eine eigene, hervorgehobene Zeile mit Label \"Auto-Continue\" (statt kompakt \"Auto\" im Toolbar) ausgelagert, und der Code-Generator-System-Prompt wurde vereinfacht (die HTML-spezifische \"STOP nach `</html>`\"-Anweisung wurde entfernt).",
        "elevator_pitch": "Wie `lecode8` — ein Code-only-KI-Assistent mit Live-HTML-Vorschau und Editor-Integration; diese Variante legt sichtbaren Fokus auf die Auto-Continue-Funktion (automatisches Fortsetzen abgeschnittener Code-Antworten).",
        "target_audience": "Wie `lecode8` — Entwickler, die schnelle Code-Snippets generieren wollen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-celestiao7-tradingplan1-lecode10auto/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0305",
        "title": "dvag-celestiao7-tradingplan1-lecode8 — LeCode AI Assistant (DVAG Edition, lecode8)",
        "project": "dvag-celestiao7-tradingplan1-lecode8",
        "category": "LeCode-AI-Assistant-Familie (DVAG-Edition)",
        "cluster": "LeCode-AI-Assistant-Familie (DVAG-Edition)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre.css CDN",
          "Google Fonts Orbitron",
          "Font Awesome",
          "Ace Editor",
          "Prism.js",
          "Vanilla JS",
          "Fetch API",
          "theserver-open-ai.replit.app"
        ],
        "tags": [
          "ai-agent",
          "code-generator",
          "coding-assistant",
          "mistral-codestral",
          "dvag-branding"
        ],
        "status": "prototype",
        "overview": "Ein Chat-basierter Code-Generator im DVAG-Gold/Blau-Design: Nutzer gibt einen Prompt ein, das Tool ruft ueber einen externen Proxy das Mistral-Modell `codestral-latest` auf und liefert reinen Code zurueck (Markdown-Codebloecke), der direkt im eingebauten Ace-Editor bearbeitet, als HTML live ausgefuehrt, heruntergeladen oder kopiert werden kann.",
        "elevator_pitch": "Ein spezialisierter \"nur Code, keine Erklaerungen\"-KI-Assistent mit sofortiger Live-Vorschau (HTML-Ausfuehrung im Browser) und Editor-Integration.",
        "target_audience": "Entwickler, die schnelle Code-Snippets generieren und direkt testen wollen, ohne zwischen Chat und Editor zu wechseln.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-celestiao7-tradingplan1-lecode8/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0306",
        "title": "dvag-celestiaos1-record — Corporate Recorder Suite",
        "project": "dvag-celestiaos1-record",
        "category": "Domvs-Avrea/Corporate Recorder Suite",
        "cluster": "Domvs-Avrea/Corporate Recorder Suite",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "webcam",
          "screen-recording",
          "audio-recording",
          "webinar",
          "presentation"
        ],
        "status": "prototype",
        "overview": "Die Corporate Recorder Suite ermöglicht die Aufzeichnung von Webcam, Mikrofon, Bildschirm und Browser-Tabs. Sie bietet Funktionen zur Erstellung und zum Download von Aufzeichnungen für Webinare, Präsentationen und Kommentare.",
        "elevator_pitch": "Eine umfassende Lösung zur Aufzeichnung von Inhalten für Webinare und Präsentationen.",
        "target_audience": "Trainer, Webinar-Moderatoren, Content-Creator.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-celestiaos1-record/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0307",
        "title": "dvag-export-genitus-org1 — Genitus Inc. AI Software Factory",
        "project": "dvag-export-genitus-org1",
        "category": "Genitus Inc./AI Software Solutions",
        "cluster": "Genitus Inc./AI Software Solutions",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome",
          "Google Fonts"
        ],
        "tags": [
          "AI",
          "SaaS",
          "fintech",
          "CelestiaOS",
          "GlobalFintech"
        ],
        "status": "prototype",
        "overview": "Die Seite präsentiert Genitus Inc. als Anbieter von AI-Softwarelösungen im Finanzsektor, einschließlich SaaS-Entwicklung und einer Plattform mit mehreren AI-Tools.",
        "elevator_pitch": "Genitus Inc. bietet fortschrittliche AI-Lösungen für die Finanztechnologie.",
        "target_audience": "Unternehmen im Finanzsektor, die AI-gestützte Lösungen suchen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-export-genitus-org1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0308",
        "title": "dvag-steurn-script4-audio-video2a — DVAG Arbeitskreisläufe Präsentation",
        "project": "dvag-steurn-script4-audio-video2a",
        "category": "DVAG Finanzberatung",
        "cluster": "DVAG Finanzberatung",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript"
        ],
        "tags": [
          "finanzberatung",
          "arbeitskreisläufe",
          "audio",
          "video",
          "präsentation"
        ],
        "status": "prototype",
        "overview": "Die Webapp zeigt die vier Phasen der DVAG-Arbeitskreisläufe zur finanziellen Freiheit und bietet Funktionen für Audio- und Video-Präsentationen.",
        "elevator_pitch": "Interaktive Präsentation der DVAG-Arbeitskreisläufe mit Audio- und Videoelementen.",
        "target_audience": "Finanzberater und Interessierte an finanzieller Freiheit.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag-steurn-script4-audio-video2a/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0309",
        "title": "dvag8 — DVAG Beratungstrainer",
        "project": "dvag8",
        "category": "Domvs-Avrea/DVAG Beratungstrainer",
        "cluster": "Domvs-Avrea/DVAG Beratungstrainer",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "JavaScript"
        ],
        "tags": [
          "beratungstrainer",
          "simulations",
          "interaktive-tools",
          "AI"
        ],
        "status": "prototype",
        "overview": "Die DVAG Beratungstrainer-App simuliert Beratungsgespräche zwischen Beratern und Kunden, um die Fähigkeiten von Beratern zu trainieren. Nutzer können zwischen verschiedenen Rollen, Personas, Situationen und Dealgrößen wählen.",
        "elevator_pitch": "Eine interaktive Simulation zur Verbesserung der Beratungsfähigkeiten.",
        "target_audience": "Berater und Trainer in der Finanzbranche.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/dvag8/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0310",
        "title": "EMBED-CHAT — EMBEDDINGS_CHATBOT_v2 (1)",
        "project": "embeddings-chatbot-v2-1",
        "category": "Domvs-Avrea/Chatbot-Ökosystem",
        "cluster": "Domvs-Avrea/Chatbot-Ökosystem",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome 6.0.0"
        ],
        "tags": [
          "chatbot",
          "ai",
          "semantische Suche",
          "FAQ",
          "Plagiatsdetektion"
        ],
        "status": "production-ready",
        "overview": "Der Embeddings Chatbot v2 ist ein KI-gestützter Chatbot, der Kundenanfragen mit semantischer Suche verarbeitet und Antworten aus einer FAQ-Datenbank liefert. Er unterstützt verschiedene Modi wie Support, Ähnlichkeitsprüfung und Plagiatsdetektion.",
        "elevator_pitch": "Ein vielseitiger Chatbot, der auf Kundenanfragen reagiert und semantische Suche nutzt.",
        "target_audience": "Unternehmen, die automatisierte Kundenanfragen bearbeiten möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/embeddings-chatbot-v2-1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0311",
        "title": "femmescript — Kommunikationsscripts für Frauen in Beziehungen",
        "project": "femmescript",
        "category": "Kommunikationshilfen für Frauen",
        "cluster": "Kommunikationshilfen für Frauen",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "kommunikation",
          "beziehungen",
          "frauen",
          "konfliktlösung",
          "partnerschaft"
        ],
        "status": "prototype",
        "overview": "FemmeScripts bietet praktische Kommunikationsscripts und Strategien für Frauen in Beziehungen, um Konflikte zu lösen und ein besseres Partnerschaftsverhältnis aufzubauen.",
        "elevator_pitch": "Effektive Kommunikationshilfen für Frauen, um Beziehungsprobleme zu meistern.",
        "target_audience": "Frauen in Beziehungen, die ihre Kommunikationsfähigkeiten verbessern möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/femmescript/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0312",
        "title": "file — Web-App zur Analyse und Bearbeitung von PDF-Dateien",
        "project": "file",
        "category": "(kein Cluster angegeben)",
        "cluster": "(kein Cluster angegeben)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "PDF-Analyse",
          "Dokumentenverarbeitung",
          "Datei-Management",
          "Chat-Interface"
        ],
        "status": "prototype",
        "overview": "File GPT Chat ist eine Web-App, die es Nutzern ermöglicht, PDF-Dateien hochzuladen, zu analysieren, zusammenzufassen und zu durchsuchen. Sie bietet ein interaktives Chat-Interface zur Dokumentenverarbeitung.",
        "elevator_pitch": "Eine benutzerfreundliche Plattform zur effizienten Bearbeitung und Analyse von PDF-Dokumenten.",
        "target_audience": "Studierende, Fachleute und alle, die regelmäßig mit PDF-Dokumenten arbeiten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/file/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0313",
        "title": "finalcelestiaos — Plattform für fortschrittliche KI-Technologien",
        "project": "finalcelestiaos",
        "category": "Domvs-Avrea/AI-Tools-Plattform",
        "cluster": "Domvs-Avrea/AI-Tools-Plattform",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN",
          "React",
          "Babel"
        ],
        "tags": [
          "ai-tools",
          "fintech",
          "agents",
          "react"
        ],
        "status": "prototype",
        "overview": "Die Webseite dient als Plattform für fortschrittliche KI-Technologien und Tools, einschließlich Agenten und Büroanwendungen. Sie nutzt React für die Interaktivität und Tailwind CSS für das Design.",
        "elevator_pitch": "Eine zentrale Anlaufstelle für innovative KI-Tools und Agenten.",
        "target_audience": "Entwickler und Unternehmen, die KI-Technologien integrieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/finalcelestiaos/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0314",
        "title": "fintechadsbot3 — FinTech Chatbot mit Werbeslots (FINTECHadsbot3)",
        "project": "fintechadsbot3",
        "category": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
        "cluster": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron",
          "Fetch API",
          "api.openai.com direkt",
          "gpt-4o-mini"
        ],
        "tags": [
          "ai-agent",
          "chatbot",
          "openai-direct",
          "ads-monetarisierung",
          "exposed-api-key",
          "sales-bot"
        ],
        "status": "prototype",
        "overview": "Ein Chatbot-Widget fuer \"Domvs Avrea O.P.N GmbH\" mit vorgefertigten Gespraechsstartern (Innovationen, Investmentstrategien, KI-Aktienanalyse, Hedgefonds-Projekt), das direkt `gpt-4o-mini` ueber die OpenAI-API aufruft. Besonderheit gegenueber den Geschwister-Bots (`fintechbot`, `fintechbot10`): eine seitliche Werbeflaeche mit Platzhalter-Ad-Slots, einem Ad-Ticker und automatisierten \"Sales-Message\"-Einblendungen mit CTA-Buttons — ein Chatbot mit eingebauter Monetarisierungs-/Lead-Gen-Schicht.",
        "elevator_pitch": "Ein Marketing-Chatbot, der Unternehmensinformationen im Gespraech vermittelt UND gleichzeitig Werbeflaechen/Sales-CTAs einblendet — Chat als Vertriebskanal statt reinem Support-Tool.",
        "target_audience": "Website-Besucher von domusaurea.tech, die per Chat mehr ueber \"Domvs Avrea O.P.N GmbH\" erfahren sollen, mit gleichzeitiger Umsatzgenerierung ueber Ad-Slots.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/fintechadsbot3/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0315",
        "title": "fintechbot — FinTech Chatbot (Domvs Avrea O.P.N)",
        "project": "fintechbot",
        "category": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
        "cluster": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron",
          "Fetch API",
          "api.openai.com direkt",
          "gpt-4o-mini"
        ],
        "tags": [
          "ai-agent",
          "chatbot",
          "openai-direct",
          "exposed-api-key",
          "company-assistant"
        ],
        "status": "prototype",
        "overview": "Die \"einfache\" Basisversion des FinTech-Chatbots (ohne Ad-Slots wie `fintechadsbot3`, ohne RAG wie `fintechbot10`): ein schlankes Chat-Widget mit 7 vorformulierten Gespraechsstartern rund um die fiktive Firma \"Domvs Avrea O.P.N GmbH\", das direkt `gpt-4o-mini` ueber die OpenAI-API aufruft. Wird in `finindex.html` als Iframe-Popup hinter einem schwebenden Chat-Icon eingebunden.",
        "elevator_pitch": "Ein schlanker Firmen-Info-Chatbot, der als eingebettetes Widget in anderen Domvs-Avrea-Portalseiten fungiert.",
        "target_audience": "Besucher der Domvs-Avrea-Portalseiten (`finindex`, `fintechapp`), die per Chat mehr ueber die Firma erfahren wollen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/fintechbot/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0316",
        "title": "fintechbot10 — FinTech Chatbot v10 (mit Dokumenten-Retrieval)",
        "project": "fintechbot10",
        "category": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
        "cluster": "FinTech-Chatbot-Familie (Domvs Avrea O.P.N)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron",
          "Prism.js",
          "Fetch API",
          "api.openai.com direkt",
          "gpt-4o-mini",
          "RAG/Dokumenten-Retrieval"
        ],
        "tags": [
          "ai-agent",
          "chatbot",
          "openai-direct",
          "rag",
          "code-generation",
          "exposed-api-key"
        ],
        "status": "prototype",
        "overview": "Die am weitesten entwickelte Variante der FinTech-Chatbot-Familie: aehnliches Firmen-Chat-Konzept wie `fintechbot`, aber mit professionellerem blauem Farbschema, Prism.js-Syntax-Highlighting, dynamischer Verfuegbare-Hoehe-Berechnung (`--available-height`) fuer bessere Mobile-Darstellung, zusaetzlichen Code-generierenden Gespraechsstartern (HTML5/CSS-Template, Python-Datenanalyse-Skript) und einer **RAG-aehnlichen Funktion** (`retrieveRelevantDocument`), die vor dem API-Call passende Dokumente/Kontext heranzieht.",
        "elevator_pitch": "Die \"Pro\"-Version des Firmen-Chatbots — kombiniert Unternehmensinformationen mit Code-Generierungs-Faehigkeiten und Kontext-Anreicherung (RAG) fuer praezisere Antworten.",
        "target_audience": "Wie die anderen Bots, zusaetzlich Entwickler/Interessenten, die Code-Snippets im FinTech-Kontext generieren lassen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/fintechbot10/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0317",
        "title": "gemini-genitus-gpt-dalle-test5 — KI-Assistent Pro",
        "project": "gemini-genitus-gpt-dalle-test5",
        "category": "(nicht angegeben)",
        "cluster": "(nicht angegeben)",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Alpine.js",
          "Font Awesome",
          "Papa Parse",
          "Prism.js",
          "DOMPurify",
          "Marked"
        ],
        "tags": [
          "KI-Assistent",
          "Chatbot",
          "GPT-4o",
          "Konversationsverwaltung",
          "Wissensbasis"
        ],
        "status": "prototype",
        "overview": "Die Web-App \"AI Assistant Pro\" ermöglicht Benutzern, mit verschiedenen KI-Modellen zu chatten, ihre Konversationen zu verwalten und eine Wissensbasis zu erstellen.",
        "elevator_pitch": "Ein vielseitiger KI-Assistent für die Verwaltung von Konversationen und Wissensdatenbanken.",
        "target_audience": "Technikaffine Nutzer, die mit KI interagieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/gemini-genitus-gpt-dalle-test5/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0318",
        "title": "gemini-og-turbo24 — AI Software Factory von Genitus Inc.",
        "project": "gemini-og-turbo24",
        "category": "Genitus Inc. AI Tools",
        "cluster": "Genitus Inc. AI Tools",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.1.1",
          "Font Awesome 6.0.0",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "AI-Software",
          "Chatfunktion",
          "Bildgenerierung",
          "Sprachausgabe"
        ],
        "status": "prototype",
        "overview": "Die Seite bietet eine Plattform für verschiedene KI-Tools von Genitus Inc., einschließlich Chatfunktionen und Bildgenerierung. Sie nutzt ein modernes Design mit Bootstrap und ist für die Interaktion mit Nutzern optimiert.",
        "elevator_pitch": "Eine umfassende AI-Software-Factory für kreative und interaktive Anwendungen.",
        "target_audience": "Entwickler, Unternehmen und kreative Nutzer.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/gemini-og-turbo24/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0319",
        "title": "genitus-fintech-lexikon-text — FinTech LexikonAI",
        "project": "genitus-fintech-lexikon-text",
        "category": "Domvs-Avrea/FinTech-Enzyklopädie",
        "cluster": "Domvs-Avrea/FinTech-Enzyklopädie",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.0",
          "Font Awesome 6.4.0"
        ],
        "tags": [
          "FinTech",
          "Enzyklopädie",
          "Aktienanalyse",
          "Kryptowährungen",
          "Übersetzungsfunktion"
        ],
        "status": "prototype",
        "overview": "Die FinTech LexikonAI-App bietet eine umfassende Enzyklopädie mit technischen und fundamentalen Analysen zu Aktien, Kryptowährungen, Commodities und Forex. Nutzer können nach Themen suchen und Inhalte in verschiedene Sprachen übersetzen.",
        "elevator_pitch": "Eine umfassende Ressource für FinTech-Analysen und Übersetzungen.",
        "target_audience": "Investoren, Analysten und FinTech-Interessierte.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/genitus-fintech-lexikon-text/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0320",
        "title": "genitus.org1 — AI Software Factory von Genitus Inc.",
        "project": "genitus-org1",
        "category": "Genitus Inc. AI Software Ecosystem",
        "cluster": "Genitus Inc. AI Software Ecosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome",
          "Google Fonts"
        ],
        "tags": [
          "AI",
          "SaaS",
          "fintech",
          "software development",
          "CelestiaOS"
        ],
        "status": "prototype",
        "overview": "Die Webseite präsentiert Genitus Inc. als AI-Software-Fabrik, die sich auf die Entwicklung von enterprise-grade SaaS-Lösungen und das CelestiaOS-Ökosystem spezialisiert hat. Sie bietet eine Vielzahl von AI-Tools und Sicherheitslösungen für Finanzplattformen.",
        "elevator_pitch": "Genitus Inc. bietet fortschrittliche AI-Lösungen für Unternehmen im Finanzsektor.",
        "target_audience": "Unternehmen, die an AI-gestützten Softwarelösungen interessiert sind.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/genitus-org1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0321",
        "title": "glasmorph — Glassmorphism AI Chat",
        "project": "glasmorph",
        "category": "KI-Chat-Anwendungen",
        "cluster": "KI-Chat-Anwendungen",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "JavaScript"
        ],
        "tags": [
          "ai-chat",
          "glassmorphism",
          "ki-assistent",
          "bildgenerierung",
          "chat-historie"
        ],
        "status": "prototype",
        "overview": "Glassmorphism AI Chat ist eine moderne Webanwendung, die Nutzern ermöglicht, mit einer KI-Assistentin zu chatten, Bilder zu generieren und Dateien hochzuladen. Das Design nutzt den Glassmorphism-Stil für eine ansprechende Benutzeroberfläche.",
        "elevator_pitch": "Interaktive KI-Chat-Anwendung im modernen Glassmorphism-Design.",
        "target_audience": "Technikaffine Nutzer, die mit KI interagieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/glasmorph/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0322",
        "title": "gold-community — GoldShield AI & Trading Community",
        "project": "gold-community",
        "category": "GoldShield Trading Community",
        "cluster": "GoldShield Trading Community",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Font Awesome 6.4.0"
        ],
        "tags": [
          "AI-Trading",
          "GTM Playbook",
          "Investment-Produkte",
          "E-Mail-Marketing",
          "Trading-Community"
        ],
        "status": "prototype",
        "overview": "Die GoldShield AI & Trading Community bietet ein 90-Tage-GTM-Playbook zur Vermarktung von AI-Trading-Tools und Investment-Produkten, mit einem Fokus auf E-Mail-Abonnenten und Unternehmenspartnerschaften.",
        "elevator_pitch": "Eine umfassende Plattform für AI-Trading und Community-Engagement.",
        "target_audience": "Trader, Investoren und Unternehmen im Finanzsektor.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/gold-community/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0323",
        "title": "gpt-os1turbo10stream2basic — AI Software Factory für Entwickler",
        "project": "gpt-os1turbo10stream2basic",
        "category": "Genitus Inc./GPTurbo",
        "cluster": "Genitus Inc./GPTurbo",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.1.1",
          "Font Awesome 6.0.0-beta3",
          "Prism.js"
        ],
        "tags": [
          "AI Software Factory",
          "KI-Tools",
          "Softwareentwicklung",
          "GPTurbo"
        ],
        "status": "prototype",
        "overview": "Die Anwendung bietet eine Plattform für Entwickler und IT-Profis, um mit verschiedenen KI-gestützten Tools zu arbeiten, die speziell für die Softwareentwicklung konzipiert sind.",
        "elevator_pitch": "Eine umfassende AI-Software-Fabrik, die Entwicklern hilft, ihre Projekte effizienter zu gestalten.",
        "target_audience": "Entwickler, IT-Profis.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/gpt-os1turbo10stream2basic/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0324",
        "title": "grauermarktfdvagbo2 — DVAG Beratungstrainer",
        "project": "grauermarktfdvagbo2",
        "category": "DVAG Beratungstraining",
        "cluster": "DVAG Beratungstraining",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Font Awesome",
          "JavaScript"
        ],
        "tags": [
          "beratungstraining",
          "gesprächssimulator",
          "vermögensberatung",
          "interaktiv"
        ],
        "status": "prototype",
        "overview": "Die DVAG Beratungstrainer-App ist ein interaktiver Gesprächssimulator, der es Vermögensberatern ermöglicht, ihre Gesprächsführung und Bedarfsanalyse zu üben. Die App bietet verschiedene Szenarien und Rollen für ein realistisches Training.",
        "elevator_pitch": "Interaktives Training für Vermögensberater zur Verbesserung der Gesprächsführung.",
        "target_audience": "Vermögensberater und Beratungstrainer.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/grauermarktfdvagbo2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0325",
        "title": "grauermarktfdvagbot-20 — KI-gestützter Beratungstrainer",
        "project": "grauermarktfdvagbot-20",
        "category": "DVAG Beratungstrainer",
        "cluster": "DVAG Beratungstrainer",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Font Awesome",
          "JavaScript"
        ],
        "tags": [
          "beratungstrainer",
          "gesprächssimulator",
          "KI-gestützt",
          "CRM-Integration"
        ],
        "status": "prototype",
        "overview": "Eine interaktive Webanwendung, die Beratungstrainern hilft, Gesprächsführung, Bedarfsanalyse und Einwandbehandlung durch Simulationen zu üben. Nutzer können verschiedene Rollen und Szenarien wählen.",
        "elevator_pitch": "Ein innovatives Tool zur Verbesserung der Beratungskompetenzen durch realistische Simulationen.",
        "target_audience": "Beratungstrainer und Vertriebsmitarbeiter.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/grauermarktfdvagbot-20/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0326",
        "title": "grauermarktfiannzprompt4markov — AUTOBOT Chat (Markov-Prompt-Generator)",
        "project": "grauermarktfiannzprompt4markov",
        "category": "unabhaengig (Prompt-Generator-Prototyp)",
        "cluster": "unabhaengig (Prompt-Generator-Prototyp)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.1",
          "Vanilla JS",
          "Markov-Chain-Textgenerierung",
          "OpenAI API"
        ],
        "tags": [
          "prompt-engineering",
          "markov-chain",
          "openai",
          "chatbot",
          "api-key-exposed",
          "autobot"
        ],
        "status": "prototype",
        "overview": "Eine Seite, die aus vordefinierten Wortlisten (Kategorien wie \"frontend\", \"javascript\", \"prompt engineering\", \"AI\", \"RAG\", \"LLMOps\", \"AI safety\", \"projects\", \"technologies\") per Markov-Kette automatisch Text-Prompts generiert, diese optional automatisiert im Intervall an die OpenAI-Chat-API sendet und die Antworten in einem iframe-basierten Chatverlauf anzeigt. Nutzer koennen Markov-Order, Prompt-Laenge, Temperature, Antwortlaenge und Sende-Intervall einstellen sowie Konversationen/Snippets als Datei herunterladen.",
        "elevator_pitch": "Ein automatisierter \"Prompt-Roulette\"-Bot, der zufaellige, aber thematisch plausible KI-/Dev-Prompts generiert und sie im Loop an ein LLM schickt — nuetzlich zum Stresstesten/Brainstorming von Prompt-Ideen.",
        "target_audience": "Entwickler/Prompt-Engineers, die automatisiert viele Prompt-Varianten gegen ein Modell testen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/grauermarktfiannzprompt4markov/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0327",
        "title": "green10 — Green AI für nachhaltige Lösungen",
        "project": "green10",
        "category": "Domvs-Avrea/Green AI Solutions",
        "cluster": "Domvs-Avrea/Green AI Solutions",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "nachhaltige KI",
          "Umweltmanagement",
          "CO₂-Emissionen",
          "Smart-Grid",
          "Domvs Avrea"
        ],
        "status": "prototype",
        "overview": "Green AI ist eine Webapp von Domvs Avrea O.P.N GmbH, die Unternehmen und Gemeinden nachhaltige KI-Lösungen bietet. Die App umfasst Funktionen wie Umweltmanagement, CO₂-Emissionen-Tracking und Smart-Grid-Technologie.",
        "elevator_pitch": "Innovative KI-Lösungen zur Unterstützung von Umweltmanagement und CO₂-Tracking.",
        "target_audience": "Unternehmen und Gemeinden, die nachhaltige Praktiken implementieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/green10/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0328",
        "title": "index-claude-1 — Claude AI Development Studio",
        "project": "index-claude-1",
        "category": "Claude AI Tools",
        "cluster": "Claude AI Tools",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre CSS",
          "Font Awesome",
          "Ace Editor",
          "PDF.js"
        ],
        "tags": [
          "Claude AI",
          "PDF Analyse",
          "HTML Generator",
          "Entwicklerwerkzeug"
        ],
        "status": "prototype",
        "overview": "Die Anwendung ist ein Entwicklerwerkzeug, das die Interaktion mit der Claude-AI ermöglicht. Sie bietet Funktionen zur Analyse von PDFs und zur Generierung von HTML-Code.",
        "elevator_pitch": "Ein umfassendes Tool zur Interaktion mit Claude AI für Entwickler.",
        "target_audience": "Softwareentwickler und KI-Interessierte.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/index-claude-1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0329",
        "title": "infosys1prompts — Genitus AI Prompt Library",
        "project": "infosys1prompts",
        "category": "Genitus AI Prompt Library",
        "cluster": "Genitus AI Prompt Library",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2",
          "JavaScript"
        ],
        "tags": [
          "AI-Prompts",
          "Framework-Prompts",
          "Marketing-Prompts",
          "Sales-Prompts",
          "Prompt-Bibliothek"
        ],
        "status": "prototype",
        "overview": "Die Genitus Prompt Library ist eine Web-App, die eine Sammlung von AI-Prompts für verschiedene Anwendungsbereiche wie Frameworks, Marketing und Sales bereitstellt. Sie ermöglicht das Durchsuchen und Filtern von Prompts für Entwickler, Marketing-Spezialisten und Vertriebsmitarbeiter.",
        "elevator_pitch": "Eine umfassende Bibliothek von AI-Prompts zur Unterstützung von Entwicklern und Marketing-Profis.",
        "target_audience": "Entwickler, Marketing-Spezialisten, Vertriebsmitarbeiter.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosys1prompts/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0330",
        "title": "infosyscrm20ki — Orbitron CRM",
        "project": "infosyscrm20ki",
        "category": "Orbitron CRM",
        "cluster": "Orbitron CRM",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "PapaParse",
          "Marked.js",
          "Axios"
        ],
        "tags": [
          "CRM",
          "Kundenkontakte",
          "Aufgaben",
          "AI-Anrufe",
          "LocalStorage"
        ],
        "status": "prototype",
        "overview": "Orbitron CRM ist eine lokale Webanwendung, die es Nutzern ermöglicht, Kundenkontakte, Aufgaben und AI-gestützte Anrufe zu verwalten. Die Anwendung speichert Daten im LocalStorage und bietet eine benutzerfreundliche Oberfläche zur Verwaltung von Leads und Tasks.",
        "elevator_pitch": "Ein leistungsstarkes CRM-Tool zur effizienten Verwaltung von Kundenbeziehungen und Aufgaben.",
        "target_audience": "Kleine bis mittelgroße Unternehmen, die ihre Kundeninteraktionen optimieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosyscrm20ki/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0331",
        "title": "PUSHAorbi — infosysCRM30pusha27orbitron",
        "project": "infosyscrm30pusha27orbitron",
        "category": "N/A",
        "cluster": "N/A",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "AI",
          "Marketing",
          "Verkauf",
          "KI-Tools",
          "Content-Erstellung"
        ],
        "status": "prototype",
        "overview": "Die Webapp \"AI Sales Center\" bietet eine Sammlung von KI-gestützten Tools für Marketing- und Verkaufsaufgaben, einschließlich der Erstellung von Inhalten wie Video-Skripten, E-Mails und mehr. Es handelt sich um eine moderne, interaktive Anwendung mit einem ansprechenden Design.",
        "elevator_pitch": "Ein umfassendes KI-gestütztes Tool für Marketing- und Verkaufsprofis.",
        "target_audience": "Marketing- und Vertriebsteams.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosyscrm30pusha27orbitron/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0332",
        "title": "infosyscrm7 — Orbitron CRM",
        "project": "infosyscrm7",
        "category": "Domvs-Avrea/CRM-Systeme",
        "cluster": "Domvs-Avrea/CRM-Systeme",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Font Awesome",
          "LocalStorage"
        ],
        "tags": [
          "CRM",
          "Kundenkontakte",
          "Aufgabenverwaltung",
          "LocalStorage",
          "Webanwendung"
        ],
        "status": "prototype",
        "overview": "Orbitron CRM ist eine lokale Webanwendung, die Kundenkontakte und Aufgaben in einem Dashboard verwaltet. Sie speichert Daten im LocalStorage des Browsers und richtet sich an kleine Unternehmen oder Freiberufler.",
        "elevator_pitch": "Ein einfaches, lokal betriebenes CRM zur Verwaltung von Kundenkontakten und Aufgaben.",
        "target_audience": "Kleine Unternehmen und Freiberufler.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosyscrm7/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0333",
        "title": "infosysfinads1 — FinTech Chatbot (mit Werbeflaechen)",
        "project": "infosysfinads1",
        "category": "Domvs-Avrea-O.P.N-Chatbot-Familie",
        "cluster": "Domvs-Avrea-O.P.N-Chatbot-Familie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5",
          "Vanilla JS",
          "OpenAI API"
        ],
        "tags": [
          "chatbot",
          "fintech-marketing",
          "ads-slots",
          "api-key-exposed",
          "domvs-avrea"
        ],
        "status": "prototype",
        "overview": "Ein dreispaltiges Layout: links und rechts je eine Spalte mit Werbeflaechen (Bild-, Video-, Canvas- und SVG-Ad-Slots samt \"Advertise with Us\"-Buttons), in der Mitte ein Chatbot fuer \"Domvs Avrea O.P.N\" mit vorformulierten Gespraechsstartern zu Finanzthemen (Investmentstrategien, KI-Aktienanalyse, Hedge-Fund-Projekt, nachhaltige Entwicklung).",
        "elevator_pitch": "Ein FinTech-Chatbot, der gleichzeitig als Werbeflaechen-Vermarktungsseite dient — Content (Chat) und Monetarisierung (Ad-Slots) in einer Ansicht kombiniert.",
        "target_audience": "Doppelt: Endnutzer, die sich per Chat ueber \"Domvs Avrea O.P.N\"-Finanzthemen informieren wollen, UND potenzielle Werbekunden, die die sichtbaren Ad-Slots gegen Gebuehr belegen sollen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosysfinads1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0334",
        "title": "infosysgpt-os3 — CelestiaOS GPT Store",
        "project": "infosysgpt-os3",
        "category": "CelestiaOS GPT Store",
        "cluster": "CelestiaOS GPT Store",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Font Awesome",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "KI-Tools",
          "Produktivität",
          "Entwicklung",
          "Finanzen",
          "Kommunikation"
        ],
        "status": "prototype",
        "overview": "Die Seite fungiert als Katalog für KI-gestützte Tools und Anwendungen, die in verschiedenen Bereichen wie Produktivität, Entwicklung und Finanzen eingesetzt werden können.",
        "elevator_pitch": "Ein zentraler Ort für den Zugriff auf verschiedene KI-Tools.",
        "target_audience": "Entwickler, Unternehmen und Einzelpersonen, die KI-Anwendungen nutzen möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosysgpt-os3/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0335",
        "title": "infosyskurs16onsite3engl2kurs4 — AI-gestützter Webentwicklungskurs",
        "project": "infosyskurs16onsite3engl2kurs4",
        "category": "AI-Webinar-Kurs",
        "cluster": "AI-Webinar-Kurs",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN",
          "Font Awesome 6.4.0",
          "JavaScript"
        ],
        "tags": [
          "AI Webinar",
          "Web Development",
          "Online Course",
          "Coding Bootcamp"
        ],
        "status": "prototype",
        "overview": "Diese Webanwendung bietet einen interaktiven, AI-gestützten Kurs zur Webentwicklung mit Videos, Chatbot-Unterstützung und PDF-Materialien. Nutzer benötigen einen Zugangstoken, um auf die Inhalte zuzugreifen.",
        "elevator_pitch": "Interaktiver Kurs zur Webentwicklung mit KI-Unterstützung.",
        "target_audience": "Entwickler, die ihre Fähigkeiten im Webdesign und in der Programmierung erweitern möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/infosyskurs16onsite3engl2kurs4/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0336",
        "title": "kathbot31 — Katholischer Seelsorger Bot",
        "project": "kathbot31",
        "category": "Domvs-Avrea/Katholischer Seelsorger Bot",
        "cluster": "Domvs-Avrea/Katholischer Seelsorger Bot",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "katholisch",
          "chatbot",
          "gläubige",
          "glaubensfragen",
          "sakramente"
        ],
        "status": "prototype",
        "overview": "Der Katholische Seelsorger Bot ist eine Web-App, die Nutzern durch Fragen und Antworten zu verschiedenen katholischen Themen Unterstützung bietet. Die App behandelt Glaubensfragen, Sakramente, Kirchengeschichte und moralische Themen.",
        "elevator_pitch": "Ein interaktiver Bot, der Gläubigen hilft, Antworten auf ihre Fragen zu finden.",
        "target_audience": "Gläubige und Interessierte an katholischen Themen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/kathbot31/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0337",
        "title": "kathbottts — Katholischer Seelsorgebot",
        "project": "kathbottts",
        "category": "N/A",
        "cluster": "N/A",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "katholische seelsorge",
          "chatbot",
          "KI-unterstützung",
          "glaubensfragen"
        ],
        "status": "prototype",
        "overview": "Der Katholische Seelsorgebot ist eine Web-App, die Benutzern durch vordefinierte Themenbereiche und KI-Unterstützung hilft, spirituelle Fragen zu klären und seelsorgerliche Unterstützung zu erhalten.",
        "elevator_pitch": "Ein interaktiver Bot für spirituelle Unterstützung und Beratung.",
        "target_audience": "Menschen, die seelsorgerliche Hilfe suchen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/kathbottts/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0338",
        "title": "kathsafe6 — Katholischer Seelsorger Bot",
        "project": "kathsafe6",
        "category": "Domvs-Avrea/Katholische Seelsorge",
        "cluster": "Domvs-Avrea/Katholische Seelsorge",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "katholische_seelsorge",
          "chatbot",
          "interaktive_plattform"
        ],
        "status": "prototype",
        "overview": "Der Katholische Seelsorger Bot unterstützt Gläubige durch interaktive Fragen und Antworten zu Glaubensfragen, Sakramenten und moralischen Themen. Die App bietet eine Plattform für persönliche Seelsorge.",
        "elevator_pitch": "Ein interaktiver Bot zur Unterstützung bei Glaubensfragen.",
        "target_audience": "Gläubige, die Rat und Unterstützung suchen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/kathsafe6/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0339",
        "title": "KI-CHECK — ki-check-fragebogen",
        "project": "ki-check-fragebogen",
        "category": "Domvs-Avrea/KI-Check",
        "cluster": "Domvs-Avrea/KI-Check",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Google Fonts Outfit",
          "JetBrains Mono"
        ],
        "tags": [
          "ki-check",
          "ki-einsatz",
          "unternehmen",
          "automatisierung",
          "datennutzung"
        ],
        "status": "prototype",
        "overview": "Der KI-Check von Domvs Avrea O.P.N GmbH bewertet den aktuellen KI-Einsatz von Unternehmen und hilft bei der Auswahl passender Tools. Die Seite enthält statische Fragen, die zur Beurteilung des KI-Readiness beitragen.",
        "elevator_pitch": "Ein interaktives Tool zur Bewertung des KI-Einsatzes in Unternehmen.",
        "target_audience": "Unternehmen, die ihre KI-Strategie verbessern möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/ki-check-fragebogen/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0340",
        "title": "kidz3guide4 — KI für Kinder: Ein Elternratgeber",
        "project": "kidz3guide4",
        "category": "Domvs-Avrea/Kinder und KI",
        "cluster": "Domvs-Avrea/Kinder und KI",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Google Fonts"
        ],
        "tags": [
          "kinder",
          "ki",
          "montessori",
          "elternratgeber",
          "digitale bildung"
        ],
        "status": "prototype",
        "overview": "Ein kostenloser Guide, der Eltern einen Montessori-inspirierten Ansatz zur Einführung von KI in das Kinderzimmer bietet, mit konkreten Vorschlägen für verschiedene Altersstufen.",
        "elevator_pitch": "Ein umfassender Leitfaden für Eltern, um KI kindgerecht zu integrieren.",
        "target_audience": "Eltern, die digitale Bildung für ihre Kinder fördern möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/kidz3guide4/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0341",
        "title": "kundenpraesi-15min — 15-Minuten Kundenpräsentation",
        "project": "kundenpraesi-15min",
        "category": "Domvs-Avrea/Kundenpräsentation",
        "cluster": "Domvs-Avrea/Kundenpräsentation",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Font Awesome 6.5.1"
        ],
        "tags": [
          "präsentation",
          "vermögenssicherung",
          "hausrat",
          "haftpflicht",
          "e-bikes",
          "altersvorsorge"
        ],
        "status": "prototype",
        "overview": "Die Webapp bietet eine 15-minütige Präsentation, die verschiedene Vermögenssicherungen und Schutzoptionen für Hausrat, Haftpflicht, E-Bikes und Altersvorsorge vorstellt. Die Präsentation ist interaktiv und nutzt JavaScript zur Steuerung der Folien.",
        "elevator_pitch": "Eine schnelle und informative Präsentation für Kunden zu wichtigen Versicherungsthemen.",
        "target_audience": "Versicherungsnehmer und Interessierte an Vermögenssicherungen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/kundenpraesi-15min/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0342",
        "title": "latina-v — LATINA V Klausur Trainer",
        "project": "latina-v-klausur-trainer-ios-css-neu",
        "category": "Domvs-Avrea/LATINA-V",
        "cluster": "Domvs-Avrea/LATINA-V",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "latein",
          "klausur",
          "vokabeln",
          "grammatik",
          "spickzettel"
        ],
        "status": "prototype",
        "overview": "LATINA V ist ein interaktiver Klausur-Trainer für Latein, der Schülern hilft, sich auf Klausuren vorzubereiten, indem er Vokabeln, Grammatik und Satzanalysen bereitstellt.",
        "elevator_pitch": "Ein umfassender Trainer für Latein, der alle wichtigen Aspekte für die Klausur abdeckt.",
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        "rebuild_grade": "B",
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          "CSS",
          "JavaScript"
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          "kulturklassiker",
          "ki-analyse",
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        "cluster": "Interaktive Chat-Anwendungen",
        "tier": "2",
        "rebuild_grade": "B",
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          "Tailwind CSS",
          "JavaScript",
          "Particles.js"
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          "Sprachausgabe",
          "interaktive UI"
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        "catalog_type": "html_stack",
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        "rebuild_grade": "B",
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          "Bootstrap 5.3.2",
          "Bootstrap Icons",
          "CSS"
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          "beziehungen",
          "eifersucht",
          "konfliktloesung",
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        "status": "prototype",
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        "rebuild_grade": "B",
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          "Materialize CSS",
          "Google Fonts Roboto"
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          "text-to-audio",
          "financial-analysis",
          "voice-assistant"
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        "status": "prototype",
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        "catalog_type": "html_stack",
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        "rebuild_grade": "B",
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          "CSS",
          "JavaScript"
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          "AI-Agentur",
          "Datenanalyse",
          "US-Märkte",
          "EU-Märkte"
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          "CSS",
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          "automatisierte Beratung",
          "Rechtsinformationen",
          "Kanzlei",
          "DSGVO"
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        "status": "prototype",
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          "Tailwind CSS",
          "Chart.js"
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          "chess",
          "ai",
          "chess-app",
          "online-chess",
          "chess-engine"
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        "overview": "Die Mobile Chess App ermöglicht es Nutzern, gegen verschiedene KIs mit unterschiedlichen ELO-Werten Schach zu spielen. Die App bietet Funktionen wie das Zurücknehmen von Zügen, das Exportieren des Spielverlaufs und das Wechseln des Spielmodus.",
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          "human-vs-computer",
          "chess-app",
          "online-chess",
          "chess-moves",
          "PGN-export"
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          "wissenschaftliche Recherche",
          "Zitierverfolgung",
          "Claude AI"
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        "catalog_type": "html_stack",
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          "Beratungsdienste",
          "KI-Software"
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          "CelestiaOS",
          "GlobalFintech"
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        "overview": "Die Webseite präsentiert DOMVS AVREA O.P.N, eine führende AI-Technologie Holding-Gesellschaft, die innovative Geschäftslösungen in verschiedenen Branchen anbietet. Sie enthält visuelle Effekte und Animationen, um die Benutzererfahrung zu verbessern.",
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        "rebuild_grade": "B",
        "tech_stack": [
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          "Font Awesome 6",
          "Google Fonts Montserrat",
          "Oswald"
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        "tags": [
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          "ai-fitness",
          "workout",
          "personalisierte-workouts",
          "fitness-coach"
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        "status": "prototype",
        "overview": "GENITUS FITNESS ist eine moderne Fitnessstudio-Webapp, die Benutzern eine AI-gestützte Fitness-Erfahrung bietet. Sie ermöglicht den Zugang zu einer umfangreichen Übungsbibliothek, einem personalisierten Workout-Planer und einem AI-Fitness-Coach.",
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        "status": "prototype",
        "overview": "Canvas Hangman - Enhanced Edition ist ein interaktives Wortspiel, das auf einem HTML5-Canvas basiert und verschiedene Kategorien wie Programmierung, Technologie und Wissenschaft abdeckt. Es richtet sich an Programmierer und Technologiebegeisterte und fördert das Lernen durch spielerische Interaktion.",
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        "is_prompt": false,
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        "tech_stack": [
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          "CSS",
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        "tags": [
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          "Jobsuche",
          "Tech-Jobs",
          "Karriere",
          "Stellenangebote"
        ],
        "status": "prototype",
        "overview": "GENITUS ist eine fortschrittliche Job-Suchplattform, die speziell für AI-Engineer, Machine-Learning-Entwickler und andere Tech-Jobs entwickelt wurde. Sie bietet eine intelligente Jobsuche mit Filtermöglichkeiten und speichert gefundene Stellenangebote.",
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          "digitale Enzyklopädie",
          "KI-Assistent",
          "spirituelle Ressourcen"
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        "status": "prototype",
        "overview": "Das Katholisch-KI Dashboard ist eine zentrale Plattform, die Gläubige mit digitalen Enzyklopädien, KI-Assistenten und spirituellen Ressourcen unterstützt.",
        "elevator_pitch": "Eine umfassende Plattform für katholische KI-Tools.",
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          "textverarbeitung",
          "tabellenkalkulation",
          "html-editor",
          "notizen"
        ],
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        "overview": "Die AI Office Suite ist eine eigenständige Webanwendung, die eine vollständige Office-Suite mit Funktionen für Textverarbeitung, Tabellenkalkulation, HTML-Editor, Notizen, Ausgaben, Bilanz und Tagebuch bietet.",
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        "catalog_type": "html_stack",
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        "rebuild_grade": "B",
        "tech_stack": [
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          "CSS",
          "JavaScript"
        ],
        "tags": [
          "ai-courses",
          "programming",
          "language-processing",
          "design"
        ],
        "status": "prototype",
        "overview": "Die Plattform Genitus - Learning bietet fortschrittliche KI-Kurse an, die Themen wie Programmierung, Sprachverarbeitung und KI-Design abdecken. Sie richtet sich an Innovatoren, Kreative und Technologieführer.",
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        "target_audience": "Innovatoren, Kreative, Tech-Führer.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neurallern/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0360",
        "title": "neurallingua — AI Lingua Sprachlernplattform",
        "project": "neurallingua",
        "category": "Sprachlernplattform",
        "cluster": "Sprachlernplattform",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5",
          "Font Awesome 6.0.0",
          "html2canvas"
        ],
        "tags": [
          "sprachlernen",
          "vokabeltest",
          "sprachassistent",
          "spiel",
          "mehrsprachig"
        ],
        "status": "prototype",
        "overview": "AI Lingua ist eine interaktive Plattform zur Verbesserung der Sprachkenntnisse in mehreren Sprachen. Sie umfasst Vokabeltests, Sprachassistenten und Lernspiele, die durch KI unterstützt werden.",
        "elevator_pitch": "Eine innovative Plattform, die das Erlernen von Sprachen durch interaktive Elemente und KI unterstützt.",
        "target_audience": "Sprachlerner aller Niveaus, von Anfängern bis Fortgeschrittenen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neurallingua/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0361",
        "title": "neuralmatrix — Perplexity Matrix: KI-gestützte Websuche und Chat-Interface",
        "project": "neuralmatrix",
        "category": "KI-gestützte Webanwendungen",
        "cluster": "KI-gestützte Webanwendungen",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre.css",
          "Remix Icons"
        ],
        "tags": [
          "KI",
          "Websuche",
          "Chat-Interface",
          "Matrix-Design",
          "Perplexity AI"
        ],
        "status": "prototype",
        "overview": "Perplexity Matrix ist eine interaktive Web-App, die Nutzern ermöglicht, Fragen zu stellen und die Websuche durchzuführen. Sie verfügt über ein Matrix-Design und bietet Anpassungsoptionen für Animationen und API-Schlüsselverwaltung.",
        "elevator_pitch": "Eine innovative Plattform für KI-gestützte Websuche und Chat-Interaktion.",
        "target_audience": "Technikaffine Nutzer und Interessierte an KI-Technologien.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralmatrix/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0362",
        "title": "neuraloffice2 — KI-gestützte Office Suite",
        "project": "neuraloffice2",
        "category": "KI-Office Suite",
        "cluster": "KI-Office Suite",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "KI-Office",
          "Textverarbeitung",
          "Tabellenkalkulation",
          "Notizen",
          "Ausgabenverfolgung",
          "Tagebuch",
          "KI-Assistent"
        ],
        "status": "prototype",
        "overview": "Die AI Office Suite Pro ist eine umfassende Webanwendung, die Funktionen für Textverarbeitung, Tabellenkalkulation, Notizen, Ausgabenverfolgung und persönliche Tagebücher bietet. Sie integriert KI-gestützte Features wie Textgenerierung und Übersetzung.",
        "elevator_pitch": "Eine vielseitige Office Suite, die KI nutzt, um die Produktivität zu steigern.",
        "target_audience": "Berufstätige, Studierende und alle, die eine effiziente Büroanwendung suchen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuraloffice2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0363",
        "title": "neuralpersonal — Persönlicher Aktienanalyse-Chatbot",
        "project": "neuralpersonal",
        "category": "Domvs-Avrea/AI-Personal-Assistant",
        "cluster": "Domvs-Avrea/AI-Personal-Assistant",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Font Awesome",
          "JavaScript"
        ],
        "tags": [
          "chatbot",
          "aktienanalyse",
          "KI",
          "personal assistant",
          "finanzanalyse"
        ],
        "status": "prototype",
        "overview": "DOMVS AVREA O.P.N ist ein persönlicher Chatbot, der Echtzeit-Marktinformationen bietet und KI-gestützte Unterstützung für Aktienanalysen bereitstellt.",
        "elevator_pitch": "Ein intelligenter Chatbot für die Analyse von Aktien mit Echtzeitdaten.",
        "target_audience": "Investoren und Finanzanalysten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralpersonal/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0364",
        "title": "neuralpowerpoint — KI-gestützte Präsentationserstellung",
        "project": "neuralpowerpoint",
        "category": "Genitus Inc.",
        "cluster": "Genitus Inc.",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Mistral AI API"
        ],
        "tags": [
          "KI-Präsentationen",
          "AI-Slides",
          "Mistral AI",
          "Präsentationen erstellen"
        ],
        "status": "prototype",
        "overview": "Genitus Inc. AI Slides ist eine Web-App, die es Nutzern ermöglicht, Präsentationen mithilfe von KI zu erstellen. Sie bietet verschiedene Themen und Designs an und nutzt die Mistral AI API zur Inhaltserstellung.",
        "elevator_pitch": "Erstellen Sie beeindruckende Präsentationen mit KI-Unterstützung.",
        "target_audience": "Geschäftsleute, Studenten, Lehrer.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralpowerpoint/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0365",
        "title": "neuralrecorder — Genitus Inc. Recorder Suite",
        "project": "neuralrecorder",
        "category": "Genitus Inc. Recorder Suite",
        "cluster": "Genitus Inc. Recorder Suite",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "recording",
          "webcam",
          "screen",
          "webinar",
          "AI",
          "text-to-speech",
          "speech-to-text"
        ],
        "status": "prototype",
        "overview": "Die Genitus Inc. Recorder Suite ist eine professionelle Aufzeichnungssoftware, die Webcam-, Bildschirm- und Webinar-Aufnahmen ermöglicht und KI-gestützte Text-zu-Sprache sowie Sprach-zu-Text-Funktionen bietet.",
        "elevator_pitch": "Eine umfassende Lösung für Aufzeichnungen mit KI-Integration.",
        "target_audience": "Fachleute und Unternehmen, die Aufzeichnungen für Schulungen oder Präsentationen benötigen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralrecorder/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0366",
        "title": "neuralreplitindex1 — Genitus System Nexus",
        "project": "neuralreplitindex1",
        "category": "Genitus System Nexus",
        "cluster": "Genitus System Nexus",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Font Awesome",
          "Google Fonts"
        ],
        "tags": [
          "AI-Tools",
          "Produktivität",
          "Finanzen",
          "Bildung",
          "Kreativität"
        ],
        "status": "prototype",
        "overview": "Die Web-App \"Genitus System Nexus\" ist eine Sammlung von AI-gestützten Tools, die in verschiedenen Kategorien wie Produktivität, Finanzen und Kreativität organisiert sind. Sie bietet eine ansprechende Benutzeroberfläche mit dynamischen App-Karten.",
        "elevator_pitch": "Eine zentrale Anlaufstelle für verschiedene AI-gestützte Anwendungen zur Steigerung von Produktivität und Kreativität.",
        "target_audience": "Nutzer, die an AI-Tools interessiert sind.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralreplitindex1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0367",
        "title": "neuralscetchtocode — AI-gestütztes Design-Tool zur Umwandlung von Skizzen in HTML-Code",
        "project": "neuralscetchtocode",
        "category": "AI-Design-Tools",
        "cluster": "AI-Design-Tools",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "AI-Design-Tool",
          "Skizzen in Code",
          "HTML-Generator",
          "Webdesign",
          "KI-gestützte Entwicklung"
        ],
        "status": "prototype",
        "overview": "Sketch to Code ist ein AI-gestützter Design-Tool, das es Nutzern ermöglicht, handgezeichnete Skizzen in HTML-Code umzuwandeln. Die App bietet eine einfache Oberfläche zum Zeichnen und Generieren von Webseiten-Code.",
        "elevator_pitch": "Verwandeln Sie Ihre Skizzen in produktionsbereiten HTML-Code mit KI-Technologie.",
        "target_audience": "Webdesigner, Entwickler, Kreative.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralscetchtocode/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0368",
        "title": "neuralstore — GENITUS AI STORE",
        "project": "neuralstore",
        "category": "KI-Anwendungen",
        "cluster": "KI-Anwendungen",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Font Awesome 6.4.0",
          "Google Fonts Inter",
          "Orbitron"
        ],
        "tags": [
          "ki-apps",
          "produktivitaet",
          "kreativitaet",
          "finanz-tools",
          "entwicklungs-tools"
        ],
        "status": "prototype",
        "overview": "Der GENITUS AI STORE präsentiert eine Auswahl an hochwertigen KI-Anwendungen, die darauf abzielen, die Produktivität und Kreativität der Benutzer zu steigern. Die Seite bietet eine kuratierte Sammlung von Tools für verschiedene Anwendungsbereiche wie Finanzen und Entwicklung.",
        "elevator_pitch": "Entdecke leistungsstarke KI-Tools, die deine Produktivität und Kreativität fördern.",
        "target_audience": "Fachleute und Unternehmen, die an KI-Lösungen interessiert sind.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralstore/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0369",
        "title": "neuralsudoku — Sudoku Master",
        "project": "neuralsudoku",
        "category": "Sudoku-Lösungswerkzeuge",
        "cluster": "Sudoku-Lösungswerkzeuge",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS"
        ],
        "tags": [
          "sudoku",
          "rätsel",
          "lösung",
          "generierung",
          "hilfsfunktionen"
        ],
        "status": "prototype",
        "overview": "Sudoku Master ist eine Web-App zur Lösung von Sudoku-Rätseln mit verschiedenen Schwierigkeitsgraden. Sie bietet Funktionen zum Generieren von Rätseln, zur Eingabe von Zahlen, zur Nutzung von Notizen und zur Anzeige von Tipps.",
        "elevator_pitch": "Eine intelligente Lösung für Sudoku-Enthusiasten, die sowohl Rätsel generiert als auch Lösungen bereitstellt.",
        "target_audience": "Sudoku-Spieler und Rätsel-Liebhaber.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralsudoku/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0370",
        "title": "neuralsuno — KI-Musik Generator",
        "project": "neuralsuno",
        "category": "KI-Musik-Generator",
        "cluster": "KI-Musik-Generator",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "ki-musik",
          "lyrics-generator",
          "suno-api",
          "musikproduktion"
        ],
        "status": "prototype",
        "overview": "Suno Studio Pro ist eine Webapp zur Erstellung von Musik und Lyrics mit Hilfe von KI. Nutzer können Musik generieren, Lyrics erstellen und Projekte verwalten.",
        "elevator_pitch": "Eine innovative Plattform zur Erstellung von Musik und Texten durch KI.",
        "target_audience": "Musikproduzenten, Songwriter, Kreative.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralsuno/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0371",
        "title": "neuralvibe1 — Online-Kurs zur Webentwicklung mit AI-Unterstützung",
        "project": "neuralvibe1",
        "category": "Genitus Inc.",
        "cluster": "Genitus Inc.",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN"
        ],
        "tags": [
          "online-course",
          "AI-support",
          "career-change",
          "portfolio-projects"
        ],
        "status": "prototype",
        "overview": "Die Webseite bietet einen 10-stündigen Online-Kurs zur Webentwicklung, unterstützt durch AI, mit Portfolio-Projekten und einem Zertifikat. Es sind keine Programmierkenntnisse erforderlich, was die Zielgruppe erweitert.",
        "elevator_pitch": "Transformiere deine Karriere in wenigen Wochen mit einem AI-unterstützten Online-Kurs.",
        "target_audience": "Menschen, die in die Webentwicklung einsteigen möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralvibe1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0372",
        "title": "neuralvibewebinareng — Online-Kurs zur Erstellung der ersten Website mit KI-Unterstützung",
        "project": "neuralvibewebinareng",
        "category": "(nicht angegeben)",
        "cluster": "(nicht angegeben)",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "JavaScript"
        ],
        "tags": [
          "online-course",
          "ai-support",
          "web-development",
          "career",
          "beginner"
        ],
        "status": "prototype",
        "overview": "Die Webseite bietet einen 10-stündigen Online-Kurs, der es ermöglicht, die erste Website zu erstellen, ohne Programmierkenntnisse zu benötigen. Der Kurs verspricht eine Karrierechance innerhalb weniger Wochen.",
        "elevator_pitch": "Erstellen Sie Ihre erste Website mit KI-Hilfe in nur 10 Stunden.",
        "target_audience": "Programmieranfänger und Berufseinsteiger.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralvibewebinareng/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0373",
        "title": "neuralwiki — KI-gestützter Wikipedia-Generator",
        "project": "neuralwiki",
        "category": "KI-gestützte Wissensgenerierung",
        "cluster": "KI-gestützte Wissensgenerierung",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "WikiBot",
          "KI",
          "Wissensdatenbank",
          "Artikelgenerator"
        ],
        "status": "prototype",
        "overview": "NEURALwiki ist eine Webanwendung, die mithilfe von KI Wikipedia-Artikel zu verschiedenen Themen generiert. Nutzer können Themen suchen oder aus Kategorien wählen.",
        "elevator_pitch": "Generieren Sie mühelos Wikipedia-Artikel zu Ihren Interessensgebieten.",
        "target_audience": "Wissenssuchende, Studenten, Forscher.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralwiki/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0374",
        "title": "neuralzitate — Katholische Weisheits-KI zur Generierung von Zitaten",
        "project": "neuralzitate",
        "category": "Katholische Weisheits-KI",
        "cluster": "Katholische Weisheits-KI",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "keine JS-Funktionen"
        ],
        "tags": [
          "katholische Zitate",
          "KI",
          "Inspiration",
          "Weisheiten"
        ],
        "status": "prototype",
        "overview": "Die Anwendung generiert inspirierende katholische Zitate aus der Heiligen Schrift, Heiligen, Geschichte und Wissenschaft mithilfe von KI-Technologie.",
        "elevator_pitch": "Inspirierende Zitate für Gläubige und Interessierte an katholischer Weisheit.",
        "target_audience": "Katholische Gemeinschaft, Bildungsinstitutionen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/neuralzitate/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0375",
        "title": "nexus-ai-games — KI-gestützte Spiele-Plattform",
        "project": "nexus-ai-games",
        "category": "KI-gestützte Spiele-Plattform",
        "cluster": "KI-gestützte Spiele-Plattform",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome 6.4.0",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "ki-spiele",
          "online-spiele",
          "gaming-plattform",
          "sichere-authentifizierung"
        ],
        "status": "prototype",
        "overview": "NEXUS AI GAMES ist eine Plattform mit über 40 KI-gestützten Spielen, die in elf Kategorien unterteilt sind. Benutzer müssen sich authentifizieren, um auf die Spiele zugreifen zu können.",
        "elevator_pitch": "Eine umfassende Plattform für KI-gestützte Spiele, die ein sicheres und unterhaltsames Spielerlebnis bietet.",
        "target_audience": "Gaming-Enthusiasten und KI-Interessierte.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/nexus-ai-games/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0376",
        "title": "novedas1 — Genitus Inc. AI Consulting",
        "project": "novedas1",
        "category": "Genitus Inc.",
        "cluster": "Genitus Inc.",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Google Fonts Inter"
        ],
        "tags": [
          "AI Consulting",
          "AI Solutions",
          "Effizienzsteigerung",
          "Wachstum",
          "Unternehmen"
        ],
        "status": "prototype",
        "overview": "Die Webseite von Genitus Inc. bietet KI-Beratung und -Lösungen an, um Effizienz zu steigern und Wachstumspotenziale zu nutzen. Sie enthält eine ansprechende Benutzeroberfläche mit verschiedenen Sektionen, die Dienstleistungen und Lösungen präsentieren.",
        "elevator_pitch": "Revolutionieren Sie Ihr Unternehmen mit maßgeschneiderten KI-Lösungen.",
        "target_audience": "Unternehmen in den USA und Europa.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/novedas1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0377",
        "title": "orbitron-maps-2 — AI-gestützter Geospatial-Navigator",
        "project": "orbitron-maps-2",
        "category": "Geospatial Tools",
        "cluster": "Geospatial Tools",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "JWT-Authentifizierung"
        ],
        "tags": [
          "geospatial",
          "navigator",
          "AI",
          "kartendarstellungen",
          "JWT"
        ],
        "status": "prototype",
        "overview": "ORBITRON MAPS ist ein interaktiver Geospatial-Navigator, der verschiedene Kartendarstellungen bietet und eine Passwort-Authentifizierung erfordert. Die Anwendung richtet sich an Geospatial-Experten und Kartografen.",
        "elevator_pitch": "Ein AI-gestützter Navigator für präzise Geodaten und Kartendarstellungen.",
        "target_audience": "Geospatial-Experten, Kartografen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/orbitron-maps-2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0378",
        "title": "petzo11claude4 — KI-gestützte Code-Generierung",
        "project": "petzo11claude4",
        "category": "Domvs-Avrea/AI-Entwicklungswerkzeuge",
        "cluster": "Domvs-Avrea/AI-Entwicklungswerkzeuge",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Google Fonts"
        ],
        "tags": [
          "ai-code-generation",
          "developer-tools",
          "productivity",
          "error-fixing"
        ],
        "status": "prototype",
        "overview": "LeCode AI ist eine Webanwendung, die Entwicklern hilft, Code schneller zu generieren, Fehler zu beheben und neue Features zu erstellen. Die App richtet sich an Entwickler und Teams, die ihre Produktivität steigern möchten.",
        "elevator_pitch": "Transformiere deinen Entwicklungsworkflow mit KI-gestützter Code-Generierung.",
        "target_audience": "Entwickler und Software-Teams.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/petzo11claude4/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0379",
        "title": "petzo3 — CelestiaOS GPT Store",
        "project": "petzo3",
        "category": "CelestiaOS GPT Store",
        "cluster": "CelestiaOS GPT Store",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome",
          "Google Fonts"
        ],
        "tags": [
          "CelestiaOS",
          "GPT Store",
          "KI-Assistenten",
          "Web-App",
          "Mobile-Optimierung"
        ],
        "status": "prototype",
        "overview": "Die CelestiaOS GPT Store-App bietet eine Standalone-Version des CelestiaOS GPT Stores, die eine Sammlung von GPT-Bots anzeigt und ermöglicht, diese zu durchsuchen und zu verwenden.",
        "elevator_pitch": "Entdecken und nutzen Sie eine Vielzahl von GPT-Bots in einer benutzerfreundlichen Umgebung.",
        "target_audience": "Nutzer von KI-Assistenten und GPT-Technologie.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/petzo3/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0380",
        "title": "quest — Interaktive RPG-Dialoge und Quests",
        "project": "quest",
        "category": "Interaktive RPG-Tools",
        "cluster": "Interaktive RPG-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Semantic UI",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "RPG",
          "Dialoge",
          "Quests",
          "Abenteuer",
          "Interaktivität"
        ],
        "status": "prototype",
        "overview": "Die Webapp ermöglicht es Nutzern, in Rollenspielen mit einem Questgeber zu interagieren, Inventare hochzuladen und ihre Abenteuer fortzusetzen. Sie bietet eine interaktive Benutzeroberfläche für Dialoge.",
        "elevator_pitch": "Erlebe interaktive Abenteuer in einer RPG-Welt durch Dialoge und Quests.",
        "target_audience": "Rollenspiel-Enthusiasten und Spieler.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/quest/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0381",
        "title": "repos-agency-deutsch — AI Consulting & Solutions",
        "project": "repos-agency-deutsch",
        "category": "Genitus Inc. AI Consulting",
        "cluster": "Genitus Inc. AI Consulting",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Google Fonts",
          "keine JS-Logik"
        ],
        "tags": [
          "AI Consulting",
          "automatisierter Vertrieb",
          "Kundenerkennung",
          "Conversion-Rate"
        ],
        "status": "prototype",
        "overview": "Die Seite präsentiert Genitus Inc., ein Unternehmen, das AI-basierte Consulting- und Lösungsdienstleistungen anbietet, um Unternehmen bei der Automatisierung ihres Vertriebs und der Kundenerkennung zu unterstützen.",
        "elevator_pitch": "AI-gestützte Lösungen zur Vertriebsautomatisierung.",
        "target_audience": "Unternehmen, die ihre Vertriebsprozesse optimieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/repos-agency-deutsch/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0382",
        "title": "senior1 — KI-Club für Senioren",
        "project": "senior1",
        "category": "KI-Club für Senioren",
        "cluster": "KI-Club für Senioren",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome 6.4.0",
          "Google Fonts"
        ],
        "tags": [
          "ki-workshops",
          "senioren",
          "künstliche-intelligenz",
          "düsseldorf",
          "sprachassistenten"
        ],
        "status": "prototype",
        "overview": "Die Seite bietet Informationen über den KI-Club für Senioren in Düsseldorf, der Workshops zu Themen wie Sprachassistenten und Foto-Bearbeitung anbietet. Sie richtet sich an Menschen ab 60 Jahren und fördert den Umgang mit Künstlicher Intelligenz.",
        "elevator_pitch": "Geduldige KI-Workshops für Senioren, um den Umgang mit moderner Technologie zu erlernen.",
        "target_audience": "Senioren ab 60 Jahren.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/senior1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0383",
        "title": "server6-detectiv8 — NOIR DETECTIVE",
        "project": "server6-detectiv8",
        "category": "Domvs-Avrea/Detektiv-App",
        "cluster": "Domvs-Avrea/Detektiv-App",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Alpine.js",
          "Interact.js",
          "jsPDF",
          "html2canvas"
        ],
        "tags": [
          "detektiv",
          "kriminalfälle",
          "interaktive App",
          "minispiele",
          "musik"
        ],
        "status": "prototype",
        "overview": "NOIR DETECTIVE ist eine interaktive Webanwendung für Privatdetektive, die Kriminalfälle analysiert, Verdächtige verhört und Beweise verwaltet. Sie bietet auch Minispiele und eine Musikabspiel-Funktion.",
        "elevator_pitch": "Eine umfassende Lösung für Privatdetektive zur Fallanalyse und Beweishandhabung.",
        "target_audience": "Privatdetektive und Kriminalanalysten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/server6-detectiv8/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0384",
        "title": "servertestrapid1 — Multi-Service API Tester",
        "project": "servertestrapid1",
        "category": "API-Test-Tools",
        "cluster": "API-Test-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "API-Tester",
          "RAPIDAPI",
          "Jobs",
          "Yahoo Finance",
          "Google Search",
          "Web Scraper",
          "Amazon"
        ],
        "status": "prototype",
        "overview": "Die Webapp ermöglicht den Test von 12 verschiedenen RAPIDAPI-Endpunkten, darunter Jobs, Yahoo Finance, Google Search, Web Scraper und Amazon. Nutzer können verschiedene APIs testen und die Ergebnisse anzeigen lassen.",
        "elevator_pitch": "Ein vielseitiges Tool zum Testen von APIs in einer benutzerfreundlichen Oberfläche.",
        "target_audience": "Entwickler und Datenanalysten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/servertestrapid1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0385",
        "title": "slides-prep — Präsentationstool für Finanzlösungen",
        "project": "slides-prep",
        "category": "Domvs-Avrea/Advisor-Prep",
        "cluster": "Domvs-Avrea/Advisor-Prep",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN",
          "Font Awesome 6.5.1",
          "Google Fonts Orbitron",
          "Inter"
        ],
        "tags": [
          "presentation-tool",
          "finance-solutions",
          "portfolios",
          "target-audience"
        ],
        "status": "prototype",
        "overview": "Advisor Prep ist eine Webanwendung zur Präsentation von Finanzlösungen und Portfolios für Zielgruppen wie Ärzte, Anwälte, Unternehmer und Immobilieninvestoren. Die Anwendung nutzt interaktive Slides zur Darstellung der Inhalte.",
        "elevator_pitch": "Ein interaktives Tool zur Präsentation von maßgeschneiderten Finanzlösungen.",
        "target_audience": "Finanzberater, die ihre Angebote präsentieren möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/slides-prep/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0386",
        "title": "smart-chatbot-v4-final — Smart Chatbot v4",
        "project": "smart-chatbot-v4-final",
        "category": "Domvs-Avrea/Smart Chatbot",
        "cluster": "Domvs-Avrea/Smart Chatbot",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Font Awesome 6.0.0"
        ],
        "tags": [
          "chatbot",
          "KI",
          "FAQ",
          "Kundensupport",
          "hybrid"
        ],
        "status": "prototype",
        "overview": "Smart Chatbot v4 ist eine Web-App, die Kundenfragen mithilfe einer Kombination aus FAQ-Datenbank und KI-Antworten beantwortet. Die App bietet verschiedene Modi für FAQ-basierte Antworten, reine KI-Antworten und eine hybride Kombination.",
        "elevator_pitch": "Ein intelligenter Chatbot, der Kundenanfragen effizient beantwortet.",
        "target_audience": "Unternehmen, die automatisierten Kundensupport anbieten möchten.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/smart-chatbot-v4-final/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0387",
        "title": "story — StoryTeller Bot Chat",
        "project": "story",
        "category": "Interaktive Geschichten",
        "cluster": "Interaktive Geschichten",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "DaisyUI"
        ],
        "tags": [
          "interaktive geschichten",
          "storyteller",
          "bot chat",
          "geschichten erstellen",
          "geschichten erkunden",
          "geschichten teilen"
        ],
        "status": "prototype",
        "overview": "Der StoryTeller Bot Chat ist eine interaktive Web-App, die es Benutzern ermöglicht, ihre eigenen Geschichten zu erstellen und zu erkunden. Die App bietet verschiedene Themen und Funktionen, um Geschichten zu schreiben und zu teilen.",
        "elevator_pitch": "Erstelle und erkunde interaktive Geschichten mit einem KI-gestützten Bot.",
        "target_audience": "Kreative Nutzer, Geschichtenerzähler und Lernende.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/story/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0388",
        "title": "systemisches-coaching-komplett (5) — Systemisches Coaching Kompendium",
        "project": "systemisches-coaching-komplett-5",
        "category": "Domvs-Avrea/Systemisches Coaching",
        "cluster": "Domvs-Avrea/Systemisches Coaching",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Google Fonts Crimson Pro",
          "IBM Plex Mono"
        ],
        "tags": [
          "systemisches coaching",
          "coaching-theorie",
          "coaching-methoden",
          "fallstudien"
        ],
        "status": "prototype",
        "overview": "Das Systemische Coaching-Kompendium bietet eine umfassende Theorie und Praxisanleitung für systemisches Coaching, einschließlich Grundlagen, Methoden und Fallstudien. Es ist als interaktive Ressource konzipiert, die durch eine Navigation unterstützt wird.",
        "elevator_pitch": "Ein umfassendes Kompendium für systemisches Coaching, das Theorie und Praxis vereint.",
        "target_audience": "Coaches, Therapeuten, Interessierte an systemischem Coaching.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/systemisches-coaching-komplett-5/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0389",
        "title": "turbosafe2 — KI-Assistent Web-App",
        "project": "turbosafe2",
        "category": "Genitus Inc./KI-Assistent",
        "cluster": "Genitus Inc./KI-Assistent",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.1.1",
          "Font Awesome 6.0.0",
          "Google Fonts Orbitron",
          "Prism.js"
        ],
        "tags": [
          "KI-Assistent",
          "OpenAI",
          "Mistral",
          "Chat",
          "Bildgenerierung"
        ],
        "status": "prototype",
        "overview": "TURBOsafe2 ist eine Web-App von Genitus Inc., die als KI-Assistent fungiert. Sie integriert OpenAI und Mistral und bietet Funktionen wie Chat, Code-Formatierung und Bildgenerierung.",
        "elevator_pitch": "Ein schneller KI-Assistent für verschiedene Anwendungsfälle.",
        "target_audience": "Entwickler und Nutzer, die KI-gestützte Tools benötigen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/turbosafe2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0390",
        "title": "turbosafe3white — GPTurbo KI-Assistent",
        "project": "turbosafe3white",
        "category": "Genitus Inc./GPTurbo",
        "cluster": "Genitus Inc./GPTurbo",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.1.1",
          "Font Awesome 6.0.0",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "ki-assistent",
          "openai",
          "chat",
          "bildgenerierung",
          "web-app"
        ],
        "status": "prototype",
        "overview": "GPTurbo ist eine Web-App von Genitus Inc., die als schnelle KI-Assistentin dient. Sie integriert OpenAI und Mistral und bietet Funktionen wie Chat, Code-Formatierung und Bildgenerierung.",
        "elevator_pitch": "Ein schneller KI-Assistent für verschiedene Aufgaben.",
        "target_audience": "Entwickler, Kreative, Technikbegeisterte.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/turbosafe3white/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0391",
        "title": "turbosafebasic — KI-Chatbot-Interface",
        "project": "turbosafebasic",
        "category": "Domus-Avrea/Chatbot-Interface",
        "cluster": "Domus-Avrea/Chatbot-Interface",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.1.1",
          "Font Awesome 6.0.0"
        ],
        "tags": [
          "chatbot",
          "KI",
          "Marktanalyse",
          "medizinische Beratung"
        ],
        "status": "prototype",
        "overview": "Das Projekt ist ein Web-Chatbot-Interface, das Benutzern ermöglicht, mit einem KI-Chatbot zu interagieren und verschiedene Funktionen wie Code-Formatierung, Marktanalyse und medizinische Beratung zu nutzen.",
        "elevator_pitch": "Interaktive Plattform für KI-gestützte Unterstützung in verschiedenen Bereichen.",
        "target_audience": "Entwickler, Investoren, medizinisches Fachpersonal.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/turbosafebasic/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0392",
        "title": "turbosafecowboys — Genitus Inc. GPTurbo AI Software Factory",
        "project": "turbosafecowboys",
        "category": "Genitus Inc. AI-Tools",
        "cluster": "Genitus Inc. AI-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.1.1",
          "Font Awesome 6.0.0",
          "Prism.js"
        ],
        "tags": [
          "AI-Software",
          "KI-Plattform",
          "CelestiaOS",
          "Softwareentwicklung"
        ],
        "status": "prototype",
        "overview": "Die Seite präsentiert Genitus Inc. GPTurbo, eine AI-Software-Fabrik, die über 41 AI-Tools bietet und auf CelestiaOS basiert. Sie ermöglicht die Erstellung und Verwaltung von AI-gestützten Softwarelösungen.",
        "elevator_pitch": "Eine umfassende Plattform für die Entwicklung von AI-gestützten Softwarelösungen.",
        "target_audience": "Entwickler und Unternehmen, die AI-Tools benötigen.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/turbosafecowboys/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0393",
        "title": "tweet1 — KI-gestützter Tweet-Ersteller",
        "project": "tweet1",
        "category": "Social Media Tools",
        "cluster": "Social Media Tools",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "tweet-creator",
          "social-media",
          "ai",
          "viral-tweets",
          "tweet-optimization"
        ],
        "status": "prototype",
        "overview": "Eine interaktive Web-App, die Nutzern hilft, virale Tweets zu erstellen, indem sie Themen oder Ideen eingeben und die KI optimierte Tweets generiert.",
        "elevator_pitch": "Erstellen Sie mit Leichtigkeit ansprechende Tweets, die viral gehen können.",
        "target_audience": "Social Media Nutzer, Marketing-Profis.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/tweet1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0394",
        "title": "wiki22 — Fintech Encyclopedia",
        "project": "wiki22",
        "category": "Domvs-Avrea/Fintech-Enzyklopädie",
        "cluster": "Domvs-Avrea/Fintech-Enzyklopädie",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.0",
          "Font Awesome 6.4.0"
        ],
        "tags": [
          "fintech",
          "encyclopedia",
          "artikel",
          "übersetzen",
          "technologie"
        ],
        "status": "prototype",
        "overview": "Die Fintech Encyclopedia ist eine Web-App, die auf Anfrage Artikel zu verschiedenen Themen der Fintech-Branche generiert. Nutzer können nach Themen suchen und die Artikel in verschiedene Sprachen übersetzen.",
        "elevator_pitch": "Eine umfassende Enzyklopädie für die Fintech-Branche, die Artikel auf Anfrage bereitstellt.",
        "target_audience": "Fachleute und Interessierte im Bereich Finanzen und Technologie.",
        "replit_md_path": "HTML-MD-EXPORT/04-ai-agent-tools/wiki22/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0395",
        "title": "advanced-vibe-engineering — Fortgeschrittene Vibe-Engineering-Techniken",
        "project": "advanced-vibe-engineering",
        "category": "Domvs-Avrea/Advanced Vibe Engineering",
        "cluster": "Domvs-Avrea/Advanced Vibe Engineering",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript"
        ],
        "tags": [
          "softwareentwicklung",
          "systemarchitektur",
          "micro-frontends",
          "event-driven",
          "typescript"
        ],
        "status": "prototype",
        "overview": "Das Projekt \"Advanced Vibe Engineering\" bietet fortgeschrittene Muster und Techniken für Profis in der Softwareentwicklung, mit einem Fokus auf Systemarchitektur, Micro-Frontends und Event-Driven-Architekturen.",
        "elevator_pitch": "Ein umfassendes Ressourcenzentrum für moderne Softwareentwicklung.",
        "target_audience": "Softwareentwickler und Architekten.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/advanced-vibe-engineering/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0396",
        "title": "autobot10-steuermehrwert3prmopts7 — Ultimate Prompt Engineering Toolkit",
        "project": "autobot10-steuermehrwert3prmopts7",
        "category": "Domvs-Avrea/AI-Toolkit",
        "cluster": "Domvs-Avrea/AI-Toolkit",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "SaaS",
          "Monetarisierung",
          "Backend-Entwicklung",
          "AI",
          "LLMs"
        ],
        "status": "prototype",
        "overview": "Die Web-App bietet eine Sammlung von Ressourcen und Tools für die Entwicklung und Monetarisierung von SaaS-Anwendungen, einschließlich Backend-Entwicklung, AI & LLMs, Frontend-Entwicklung und Payment Gateways.",
        "elevator_pitch": "Ein umfassendes Toolkit für Entwickler zur Monetarisierung von SaaS-Anwendungen.",
        "target_audience": "Softwareentwickler und Unternehmer im SaaS-Bereich.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/autobot10-steuermehrwert3prmopts7/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0397",
        "title": "axel50 — Spreadsheet Data Calculator",
        "project": "axel50",
        "category": "Domvs-Avrea/Spreadsheet-Tools",
        "cluster": "Domvs-Avrea/Spreadsheet-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre.css"
        ],
        "tags": [
          "tabellenkalkulation",
          "datenanalyse",
          "statistik",
          "webapp"
        ],
        "status": "prototype",
        "overview": "Eine Webanwendung zur Berechnung von Summe, Durchschnitt, Minimum und Maximum in Tabellendaten. Ideal für Nutzer, die einfache statistische Berechnungen durchführen möchten.",
        "elevator_pitch": "Ein benutzerfreundlicher Spreadsheet-Datenrechner für schnelle statistische Analysen.",
        "target_audience": "Nutzer, die einfache Datenanalysen benötigen.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/axel50/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0398",
        "title": "english-test-10 — ZP10 Englisch Prüfungs-App",
        "project": "english-test-10",
        "category": "ZP10 English Prüfungs-App",
        "cluster": "ZP10 English Prüfungs-App",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Google Fonts"
        ],
        "tags": [
          "Englisch-Prüfung",
          "Gymnasiasten",
          "Lernen",
          "NRW"
        ],
        "status": "prototype",
        "overview": "Die ZP10 Englisch-App unterstützt Gymnasiasten in NRW bei der Vorbereitung auf Englisch-Prüfungen mit Lerninhalten zu Lesen, Grammatik, Wortschatz, Schreiben, Mediation, Übersetzung und Listening.",
        "elevator_pitch": "Eine umfassende Lernplattform für Englisch-Prüfungen.",
        "target_audience": "Gymnasiasten in Nordrhein-Westfalen.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/english-test-10/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0399",
        "title": "gitarre-lernen-verbessert (7) — Interaktive Gitarren-Lernplattform",
        "project": "gitarre-lernen-verbessert-7",
        "category": "Gitarren-Lernplattform",
        "cluster": "Gitarren-Lernplattform",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.0",
          "Google Fonts Bebas Neue",
          "Archivo",
          "Permanent Marker"
        ],
        "tags": [
          "gitarre lernen",
          "gitarrenakkorde",
          "gitarrenrhythmen",
          "online lernen"
        ],
        "status": "prototype",
        "overview": "Interaktive Plattform, die Schritt für Schritt Gitarrenakkorde, Rhythmen und Songs erklärt und übt. Die Seite nutzt Bootstrap für das Layout und bietet eine ansprechende Benutzeroberfläche.",
        "elevator_pitch": "Eine umfassende Lernplattform für Gitarrenanfänger.",
        "target_audience": "Anfänger, die Gitarre lernen möchten.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/gitarre-lernen-verbessert-7/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0400",
        "title": "grauermarktfdvag-landing-dev — Developer Documentation für Genitus DVAG BeratungsAI Pro",
        "project": "grauermarktfdvag-landing-dev",
        "category": "Genitus DVAG",
        "cluster": "Genitus DVAG",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Font Awesome"
        ],
        "tags": [
          "developer-documentation",
          "KI-App",
          "Genitus DVAG",
          "Tailwind CSS"
        ],
        "status": "prototype",
        "overview": "Die Seite bietet technische Details zur KI-generierten BeratungsAI Pro-App von Genitus DVAG, einschließlich Architektur, Sicherheit und Bereitstellung. Sie enthält interaktive Elemente zur Navigation durch verschiedene Dokumentationstabs.",
        "elevator_pitch": "Umfassende Entwicklerdokumentation für die BeratungsAI Pro-App.",
        "target_audience": "Entwickler und technische Anwender.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/grauermarktfdvag-landing-dev/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0401",
        "title": "html-pro — AI HTML Studio",
        "project": "html-pro",
        "category": "Domvs-Avrea/HTML-Editor",
        "cluster": "Domvs-Avrea/HTML-Editor",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript",
          "Ace Editor",
          "Font Awesome",
          "Highlight.js"
        ],
        "tags": [
          "html-editor",
          "web-development",
          "developer-tools",
          "live-preview"
        ],
        "status": "prototype",
        "overview": "AI HTML Studio ist ein professioneller HTML-Editor mit Echtzeit-Vorschau, Auto-Save-Funktion und Tastaturkürzeln für Entwickler. Die Anwendung bietet eine benutzerfreundliche Oberfläche zur Bearbeitung von HTML-Code.",
        "elevator_pitch": "Ein leistungsstarker HTML-Editor für Webentwickler.",
        "target_audience": "Webentwickler, Programmierer, Studenten.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/html-pro/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0402",
        "title": "ide-free-tier — Kostenloser Online-Code-Editor mit Echtzeit-Vorschau",
        "project": "ide-free-tier",
        "category": "Domvs-Avrea/AI-Entwicklungswerkzeuge",
        "cluster": "Domvs-Avrea/AI-Entwicklungswerkzeuge",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Ace Editor",
          "Font Awesome"
        ],
        "tags": [
          "online-code-editor",
          "html-editor",
          "live-preview",
          "web-development"
        ],
        "status": "prototype",
        "overview": "AI HTML Studio ist ein kostenloser Online-Code-Editor, der Echtzeit-Vorschau für HTML, CSS und JavaScript bietet. Ideal für Webentwickler, Designer und Anfänger, um ihre Projekte direkt im Browser zu erstellen und zu testen.",
        "elevator_pitch": "Ein benutzerfreundlicher Online-Code-Editor mit sofortiger Vorschau.",
        "target_audience": "Webentwickler, Designer, Lernende.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/ide-free-tier/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0403",
        "title": "infosys1university1 — Universities API Test",
        "project": "infosys1university1",
        "category": "unabhaengig (API-Test-Snippet)",
        "cluster": "unabhaengig (API-Test-Snippet)",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Tailwind CDN",
          "Vanilla JS",
          "Hipolabs Universities API"
        ],
        "tags": [
          "api-example",
          "universities",
          "no-finance",
          "dev-tool",
          "learning"
        ],
        "status": "prototype",
        "overview": "Minimalistisches Ein-Seiten-Tool: Land eingeben oder aus Dropdown waehlen (Germany, USA, UK, France, Japan, Brazil, Canada, Australia, India), Klick auf \"Suchen\" ruft die oeffentliche `universities.hipolabs.com/search`-API auf und listet gefundene Universitaeten mit Name, Land und Website-Link auf.",
        "elevator_pitch": "Ein Zwei-Minuten-API-Testskript, das zeigt, wie man eine kostenlose oeffentliche REST-API (Hipolabs Universities) ohne Key konsumiert.",
        "target_audience": "Entwickler/Lernende, die ein einfaches Fetch-API-Beispiel als Vorlage brauchen.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/infosys1university1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0404",
        "title": "infosysjson20lightword12crud12 — Genitus Inc. Universal AI Editor",
        "project": "infosysjson20lightword12crud12",
        "category": "Genitus Inc. Universal AI Editor",
        "cluster": "Genitus Inc. Universal AI Editor",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2",
          "Quill",
          "Mammoth.js",
          "JSZip",
          "PapaParse",
          "PDF.js"
        ],
        "tags": [
          "document-editing",
          "AI-editor",
          "universal-editor",
          "Quill"
        ],
        "status": "prototype",
        "overview": "Der Genitus Inc. Universal AI Editor ist ein Web-Tool, das die Bearbeitung und Generierung von Dokumenten in verschiedenen Formaten wie DOCX, TXT, CSV, PDF und JSON ermöglicht. Es nutzt KI zur Inhaltserstellung und bietet eine benutzerfreundliche Oberfläche.",
        "elevator_pitch": "Ein vielseitiger Editor für die einfache Erstellung und Bearbeitung von Dokumenten mit KI-Unterstützung.",
        "target_audience": "Entwickler, Content-Ersteller, Unternehmen.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/infosysjson20lightword12crud12/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0405",
        "title": "infosysjson7 — Universal Data Viewer",
        "project": "infosysjson7",
        "category": "Genitus Inc. Universal Data Viewer",
        "cluster": "Genitus Inc. Universal Data Viewer",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2",
          "PapaParse",
          "PDF.js"
        ],
        "tags": [
          "data-viewer",
          "json",
          "csv",
          "pdf",
          "data-management"
        ],
        "status": "prototype",
        "overview": "Die Genitus Inc. Universal Data Viewer-App ermöglicht das Hochladen und Anzeigen von Daten in verschiedenen Formaten (JSON, CSV, PDF, TXT) mit der Möglichkeit, die Daten lokal zu speichern und zwischen verschiedenen Ansichten (Karten oder Tabellen) zu wechseln.",
        "elevator_pitch": "Ein vielseitiges Tool zur Datenvisualisierung und -verwaltung.",
        "target_audience": "Entwickler, Datenanalysten, alle, die mit Daten arbeiten.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/infosysjson7/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0406",
        "title": "infosyskurs15 — Online-Kurs zur Webentwicklung mit KI",
        "project": "infosyskurs15",
        "category": "Domvs-Avrea/Kursangebote",
        "cluster": "Domvs-Avrea/Kursangebote",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "JavaScript"
        ],
        "tags": [
          "online-kurs",
          "webentwicklung",
          "html",
          "css",
          "javascript",
          "ki-unterstützung"
        ],
        "status": "prototype",
        "overview": "Der Kurs bietet eine Einführung in HTML, CSS und JavaScript mit KI-Unterstützung und richtet sich an Arbeitsuchende und Quereinsteiger. Er umfasst Portfolio-Projekte und ein Zertifikat.",
        "elevator_pitch": "Werde Webentwickler mit unserem 10-stündigen Online-Kurs.",
        "target_audience": "Arbeitsuchende, Quereinsteiger, Selbstständige.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/infosyskurs15/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0407",
        "title": "infosyskurs15amerge — Exposé für KI-Webinar und Tagesseminar",
        "project": "infosyskurs15amerge",
        "category": "Domvs-Avrea/KI-Webinar",
        "cluster": "Domvs-Avrea/KI-Webinar",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "KI-Webinar",
          "Tagesseminar",
          "Webentwicklung",
          "HTML",
          "CSS",
          "JavaScript"
        ],
        "status": "live",
        "overview": "Die Webseite präsentiert ein Exposé für ein KI-Webinar (10 Stunden online) und ein Tagesseminar (6 Stunden Präsenz) zur Webentwicklung mit HTML, CSS und JavaScript. Die Zielgruppe sind Jobcenter, Arbeitsagenturen und Firmen.",
        "elevator_pitch": "Ein umfassendes Bildungsangebot zur Webentwicklung mit KI-Unterstützung.",
        "target_audience": "Jobcenter, Arbeitsagenturen, Firmen.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/infosyskurs15amerge/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0408",
        "title": "lecode-1 — NextGen AI Development Studio",
        "project": "lecode-1",
        "category": "Domvs-Avrea/LeCode Fusion",
        "cluster": "Domvs-Avrea/LeCode Fusion",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre.css",
          "Font Awesome",
          "Ace Editor",
          "Prism.js"
        ],
        "tags": [
          "ki-entwicklung",
          "html-editor",
          "lecode",
          "entwickler-tools"
        ],
        "status": "prototype",
        "overview": "LeCode Fusion ist eine Web-App zur Entwicklung von KI-gestützten Anwendungen, die zwei KI-Modelle (Mistral und Claude) integriert. Sie ermöglicht das Hochladen von Medien, das Schreiben und Bearbeiten von Code sowie die Interaktion mit KI-Modellen.",
        "elevator_pitch": "Eine Plattform für Entwickler zur Erstellung und Bearbeitung von KI-Anwendungen.",
        "target_audience": "Entwickler und KI-Enthusiasten.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/lecode-1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0409",
        "title": "leide — AI HTML Studio",
        "project": "leide",
        "category": "Domvs-Avrea/LeIDE",
        "cluster": "Domvs-Avrea/LeIDE",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Ace Editor",
          "Font Awesome",
          "Highlight.js"
        ],
        "tags": [
          "html-editor",
          "web-development",
          "ai-support",
          "web-design"
        ],
        "status": "prototype",
        "overview": "LeIDE ist ein professioneller HTML-Editor, der Entwicklern und Webdesignern hilft, HTML-Code zu erstellen, zu bearbeiten und zu verwalten. Die Anwendung bietet eine Vielzahl von Funktionen zur Unterstützung der Webentwicklung.",
        "elevator_pitch": "Ein leistungsstarker HTML-Editor, der KI-gestützte Funktionen bietet.",
        "target_audience": "Webentwickler und Designer.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/leide/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0410",
        "title": "neural-chess-ki-power-jwtmarkov1 — Enhanced JWT Token Generator with Markov Labels",
        "project": "neural-chess-ki-power-jwtmarkov1",
        "category": "JWT-Token-Generator-Familie",
        "cluster": "JWT-Token-Generator-Familie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Web Crypto (HMAC-SHA256)",
          "Markov-Chain-Namensgenerator"
        ],
        "tags": [
          "dev-tool",
          "jwt",
          "auth",
          "token-generator",
          "security-demo"
        ],
        "status": "prototype",
        "overview": "Formular-basiertes Ein-Datei-Tool (759 Zeilen): Nutzer gibt ein JWT-Secret ein, klickt \"Generate JWT Token\", das Tool baut Header/Payload/Signatur eines JWT zusammen (inkl. eines von der `EnhancedMarkovLabelGenerator`-Klasse erzeugten \"Session-Labels\") und zeigt Token sowie dessen dekodierte Bestandteile (Header/Payload/Signature) und einen Gültigkeits-Status an.",
        "elevator_pitch": "Ein Lern-/Debug-Tool, um JWT-Struktur (Header.Payload.Signature) live nachzuvollziehen — mit einem verspielten Zusatz-Feature, das jedem generierten Token einen Markov-generierten, aussprechbaren Codenamen gibt.",
        "target_audience": "Entwickler, die JWT-Mechanik verstehen/testen wollen, ohne ein externes Tool wie jwt.io zu nutzen.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/neural-chess-ki-power-jwtmarkov1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0411",
        "title": "neural-chess-ki-power-jwtmarkov2 — Orbitron JWT Token Generator",
        "project": "neural-chess-ki-power-jwtmarkov2",
        "category": "JWT-Token-Generator-Familie",
        "cluster": "JWT-Token-Generator-Familie",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Google Fonts Orbitron+Roboto Mono",
          "Web Crypto"
        ],
        "tags": [
          "dev-tool",
          "jwt",
          "auth",
          "token-generator",
          "security-demo",
          "visualizer"
        ],
        "status": "prototype",
        "overview": "Erweiterte Variante von `neural-chess-ki-power-jwtmarkov1` (2297 Zeilen statt 759): gleiches Grundprinzip (Secret eingeben → JWT generieren), aber mit deutlich reichhaltigerem UI — Token-Visualizer mit farbcodierten Teilen (Header/Payload/Signature als `.token-part`), Token-Historie (`.token-history`), Token-Stärke-Anzeige (`.token-strength`) und Feature-Grid. Neon-Cyberpunk-Optik mit gepunktetem Hintergrundmuster.",
        "elevator_pitch": "Die \"Deluxe\"-Version des JWT-Generators — mit visueller Aufschlüsselung der drei Token-Teile, Verlaufshistorie generierter Tokens und einer Stärke-Bewertung des gewählten Secrets.",
        "target_audience": "Entwickler/Lernende, die JWT-Struktur nicht nur generieren, sondern auch visuell nachvollziehen und mehrere Versuche vergleichen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/neural-chess-ki-power-jwtmarkov2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0412",
        "title": "neuralword — AI Office Suite für Textverarbeitung",
        "project": "neuralword",
        "category": "AI Office Suite",
        "cluster": "AI Office Suite",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "text-processing",
          "templates",
          "download-options",
          "word-processor",
          "spreadsheet"
        ],
        "status": "prototype",
        "overview": "Die AI Office Suite ist eine eigenständige Webanwendung, die Funktionen zur Textverarbeitung, Tabellenverwaltung und Vorlagenerstellung bietet. Nutzer können Dokumente erstellen, formatieren und in verschiedenen Formaten herunterladen.",
        "elevator_pitch": "Eine umfassende Webanwendung für Textverarbeitung mit vielfältigen Funktionen.",
        "target_audience": "Studenten, Fachkräfte und alle, die Dokumente erstellen müssen.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/neuralword/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0413",
        "title": "petzoCLAUDEexplorer4 — Webanwendung für Projektmanagement",
        "project": "petzoclaudeexplorer4",
        "category": "Domvs-Avrea/Projektmanagement-Tools",
        "cluster": "Domvs-Avrea/Projektmanagement-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Prism.js"
        ],
        "tags": [
          "RAG",
          "CRUD",
          "Projektmanagement",
          "Mistral AI",
          "Webanwendung"
        ],
        "status": "prototype",
        "overview": "Die Anwendung ermöglicht die Verwaltung von Projekten mit RAG (Retrieval Augmented Generation) und bietet CRUD-Operationen, die mit der Mistral AI API integriert sind.",
        "elevator_pitch": "Eine innovative Webanwendung zur effizienten Verwaltung von Projekten.",
        "target_audience": "Projektmanager und Entwickler.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/petzoclaudeexplorer4/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0414",
        "title": "replit-batch — Neural Codex Dashboard",
        "project": "replit-batch",
        "category": "Domvs-Avrea/Neural Codex",
        "cluster": "Domvs-Avrea/Neural Codex",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Spectre CSS"
        ],
        "tags": [
          "replit",
          "dashboard",
          "projektstatistiken",
          "learning"
        ],
        "status": "prototype",
        "overview": "Das Neural Codex Dashboard bietet eine organisierte Übersicht über Replit-Projekte mit Statistiken und Kategorien. Es verwendet eine ansprechende Benutzeroberfläche mit Spectre CSS.",
        "elevator_pitch": "Ein Dashboard zur Verwaltung und Übersicht von Replit-Projekten.",
        "target_audience": "Entwickler und Lernende, die Replit nutzen.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/replit-batch/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0415",
        "title": "substitue-3 — Lernapp Gymnasium NRW",
        "project": "substitue-3",
        "category": "Lernplattformen",
        "cluster": "Lernplattformen",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "lernapp",
          "gymnasium",
          "nrw",
          "ki-gestuetzte plattform",
          "tests",
          "klassenarbeiten"
        ],
        "status": "prototype",
        "overview": "Die Lernapp Gymnasium NRW - Obitron Neural Style bietet eine KI-gestützte Plattform mit Lernstoff, Tests und Klassenarbeiten für verschiedene Fächer und Klassenstufen.",
        "elevator_pitch": "Eine innovative Lernplattform für Gymnasiasten in NRW.",
        "target_audience": "Schüler, Lehrer und Bildungseinrichtungen.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/substitue-3/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0416",
        "title": "TexasONE — TRANSLATOR11-test-texas",
        "project": "translator11-test-texas",
        "category": "TI-AI Terminal Calculator",
        "cluster": "TI-AI Terminal Calculator",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "mathematics",
          "finance",
          "statistics",
          "API",
          "webapp"
        ],
        "status": "prototype",
        "overview": "Die TI-AI Terminal Calculator Webapp bietet fortgeschrittene mathematische Berechnungen und Finanzfunktionen. Sie ist als API konzipiert und ermöglicht grundlegende Rechenoperationen sowie statistische Analysen.",
        "elevator_pitch": "Ein leistungsstarker Rechner für Mathematik und Finanzen, der als API genutzt werden kann.",
        "target_audience": "Entwickler und Finanzanalysten.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/translator11-test-texas/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0417",
        "title": "ultimate-vibe-coding-guide — Der ultimative Leitfaden für modernes Webdesign",
        "project": "ultimate-vibe-coding-guide",
        "category": "Webentwicklung",
        "cluster": "Webentwicklung",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript"
        ],
        "tags": [
          "webentwicklung",
          "html5",
          "javascript",
          "ai-assisted-development",
          "modern-webdesign"
        ],
        "status": "prototype",
        "overview": "Der Ultimate Vibe Coding Guide bietet eine umfassende Einführung in moderne Webentwicklung mit Fokus auf HTML5, JavaScript und KI-unterstütztem Entwickeln. Die Seite ist ansprechend gestaltet und enthält interaktive Elemente zur Navigation durch verschiedene Sektionen.",
        "elevator_pitch": "Ein umfassender Leitfaden für Webentwickler, die moderne Techniken erlernen möchten.",
        "target_audience": "Webentwickler, Studenten, Technikinteressierte.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/ultimate-vibe-coding-guide/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0418",
        "title": "versicherungsmathematik (3) — Einführung in die Versicherungsmathematik",
        "project": "versicherungsmathematik-3",
        "category": "Versicherungsmathematik",
        "cluster": "Versicherungsmathematik",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2",
          "Google Fonts"
        ],
        "tags": [
          "versicherungsmathematik",
          "statistik",
          "risikomanagement",
          "kalkulation",
          "solvenz II"
        ],
        "status": "prototype",
        "overview": "Die Webseite bietet eine umfassende Einführung in die Grundlagen der Versicherungsmathematik und Statistik, einschließlich Risikomanagement, Kalkulation und Solvenz II.",
        "elevator_pitch": "Eine informative Ressource für Studierende und Fachleute in der Versicherungsmathematik.",
        "target_audience": "Studierende, Versicherungsexperten.",
        "replit_md_path": "HTML-MD-EXPORT/05-dev-docs-learning/versicherungsmathematik-3/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0419",
        "title": "iss5 — Satellite Tracker",
        "project": "iss5",
        "category": "Satellitenverfolgung",
        "cluster": "Satellitenverfolgung",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript",
          "Three.js"
        ],
        "tags": [
          "satellitenverfolgung",
          "ISS",
          "Starlink",
          "Echtzeitdaten",
          "Weltkarte"
        ],
        "status": "prototype",
        "overview": "Mobile optimierte Web-App zur Echtzeitverfolgung von Satelliten wie der ISS und der Starlink-Konstellation. Sie zeigt Satellitenpositionen, Bahnen und eine Weltkarte an.",
        "elevator_pitch": "Verfolgen Sie Satelliten in Echtzeit und erhalten Sie präzise Informationen über ihre Positionen.",
        "target_audience": "Raumfahrtenthusiasten, Wissenschaftler, Bildungseinrichtungen.",
        "replit_md_path": "HTML-MD-EXPORT/06-news-data-feeds/iss5/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0420",
        "title": "mamasafe1-basic-temperature5 — Open-Meteo Wetterdaten-App",
        "project": "mamasafe1-basic-temperature5",
        "category": "Wetter-Apps",
        "cluster": "Wetter-Apps",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Open-Meteo API"
        ],
        "tags": [
          "wettervorhersage",
          "temperatur",
          "wind",
          "niederschlag",
          "open-meteo"
        ],
        "status": "live",
        "overview": "Die Open-Meteo Weather-to-Chart App zeigt Wetterdaten für ausgewählte deutsche Städte an, einschließlich Temperatur, Windgeschwindigkeit und Niederschlag. Sie nutzt Open-Meteo APIs für Geocoding und Wettervorhersagen.",
        "elevator_pitch": "Eine benutzerfreundliche App zur Anzeige von Wetterdaten in Echtzeit.",
        "target_audience": "Personen, die aktuelle Wetterinformationen benötigen.",
        "replit_md_path": "HTML-MD-EXPORT/06-news-data-feeds/mamasafe1-basic-temperature5/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0421",
        "title": "meteo1 — Open-Meteo: Weather-to-Chart (Enterprise Edition)",
        "project": "meteo1",
        "category": "Wetter-Datenfeeds",
        "cluster": "Wetter-Datenfeeds",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Chart-Rendering",
          "Open-Meteo API",
          "Open-Meteo Geocoding API"
        ],
        "tags": [
          "weather",
          "chart",
          "open-meteo",
          "geocoding",
          "no-api-key",
          "data-feed"
        ],
        "status": "production-ready",
        "overview": "Ein Wetter-zu-Diagramm-Tool (\"Enterprise Edition\" laut Titel), das Wetterdaten der kostenlosen Open-Meteo-API abruft, per Ortssuche (Geocoding) einen Standort aufloest und die Daten als Chart visualisiert.",
        "elevator_pitch": "Ein schlankes Wetter-Charting-Tool ganz ohne API-Key — nutzt die kostenlose, oeffentliche Open-Meteo-API statt kostenpflichtiger Wetterdienste.",
        "target_audience": "Nutzer, die Wetterverlaeufe fuer einen Ort visuell statt in Tabellenform sehen wollen; als generisches Utility auch in andere Genitus/BLUEHOST-Projekte einbettbar.",
        "replit_md_path": "HTML-MD-EXPORT/06-news-data-feeds/meteo1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0422",
        "title": "meteo1-maps3 — Radar Overlay (RainViewer + Leaflet, fixed)",
        "project": "meteo1-maps3",
        "category": "Wetter-Datenfeeds",
        "cluster": "Wetter-Datenfeeds",
        "tier": "3",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Leaflet.js",
          "RainViewer API",
          "Open-Meteo Geocoding API"
        ],
        "tags": [
          "weather",
          "radar",
          "leaflet",
          "rainviewer",
          "no-api-key",
          "data-feed"
        ],
        "status": "production-ready",
        "overview": "Ein kompaktes Regenradar-Tool (nur 7,3 KB — die kleinste reale Datei im urspruenglichen `07-travel-guides`-Batch): legt eine Live-Regenradar-Ueberlagerung von RainViewer auf eine Leaflet-Karte, mit Ortssuche ueber Open-Meteo-Geocoding. Der Titelzusatz \"(fixed)\" deutet auf eine bereits behobene fruehere Fehlerversion hin.",
        "elevator_pitch": "Ein Live-Regenradar auf Kartenbasis, komplett kostenlos ohne API-Key.",
        "target_audience": "Nutzer, die kurzfristig pruefen wollen, ob/wann Regen an einem Ort eintrifft.",
        "replit_md_path": "HTML-MD-EXPORT/06-news-data-feeds/meteo1-maps3/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0423",
        "title": "neuralwetter — Wetter Dashboard mit KI-Assistent",
        "project": "neuralwetter",
        "category": "Wetter-Tools",
        "cluster": "Wetter-Tools",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript",
          "OpenAI API"
        ],
        "tags": [
          "wetter",
          "wettervorhersage",
          "dashboard",
          "openai",
          "wetter-assistent"
        ],
        "status": "prototype",
        "overview": "Das Wetter Dashboard bietet eine farbenfrohe und aktuelle Wetterübersicht für verschiedene Standorte, inklusive eines Wetter-Assistenten, der auf OpenAI basiert.",
        "elevator_pitch": "Ein interaktives Wetter-Dashboard mit KI-Unterstützung für Echtzeit-Wetterdaten.",
        "target_audience": "Nutzer, die aktuelle Wetterinformationen und Vorhersagen benötigen.",
        "replit_md_path": "HTML-MD-EXPORT/06-news-data-feeds/neuralwetter/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0424",
        "title": "adwoto-tourguide-complete-guide — AdWoTo Tourguide: Komplettuebersicht & Finanzrechner",
        "project": "adwoto-tourguide-complete-guide",
        "category": "Reisefuehrer",
        "cluster": "Reisefuehrer",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "statische Datenstruktur"
        ],
        "tags": [
          "travel",
          "tourguide",
          "finance-calculator",
          "tips",
          "gig-economy"
        ],
        "status": "production-ready",
        "overview": "Ein Nachschlagewerk/Rechner fuer (vermutlich freiberufliche) Stadtfuehrer/Guides: kombiniert eine Komplettuebersicht ueber den Job mit einem Finanzrechner, der Trinkgeld-relevante Faktoren wie Wetter, Gruppengroesse und Performance beruecksichtigt (\"Gutes Wetter = bessere Stimmung = mehr Trinkgeld\"; \"Internationale, groessere Gruppen (15+), Top-Performance, gutes Wetter\" als Einflussfaktoren).",
        "elevator_pitch": "Ein Tool speziell fuer Tourguides selbst (nicht fuer Touristen) — hilft abzuschaetzen, wie sich Wetter, Gruppengroesse und eigene Leistung auf das Trinkgeld-Einkommen auswirken.",
        "target_audience": "Freiberufliche/Gig-Economy-Stadtfuehrer, die ihr variables Trinkgeld-Einkommen besser einschaetzen wollen.",
        "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/adwoto-tourguide-complete-guide/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0425",
        "title": "brewery-explorer — Brewery Explorer",
        "project": "brewery-explorer",
        "category": "Reisefuehrer",
        "cluster": "Reisefuehrer",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Leaflet.js",
          "OpenStreetMap",
          "Open Brewery DB API",
          "Nominatim Geocoding"
        ],
        "tags": [
          "travel",
          "breweries",
          "geo",
          "leaflet",
          "infinite-scroll",
          "skills-showcase",
          "localstorage-cache"
        ],
        "status": "prototype",
        "overview": "Findet Breweries in der Naehe per GPS oder Stadtsuche, zeigt sie auf einer Leaflet/OpenStreetMap-Karte an und laedt weitere Ergebnisse per Infinite Scroll nach. Nutzt LocalStorage-Caching (15 Min. TTL) um wiederholte API-Calls zu sparen. Laut eigenem \"Demonstrierte Skills\"-Abschnitt im Code eher ein Portfolio-/Skills-Showcase als eine produktreife App.",
        "elevator_pitch": "Ein GPS-basierter Brauerei-Finder, der zeigt, wie man Geolocation, Kartenintegration, externe APIs und Infinite Scroll ohne Framework sauber kombiniert.",
        "target_audience": "Bier-Touristen/Craft-Beer-Fans als Endnutzer; primaer aber ein Code-Sample fuer den Autor selbst (Skills-Demo).",
        "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/brewery-explorer/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0426",
        "title": "croatia-adria-guide — Croatia Adria Guide",
        "project": "croatia-adria-guide",
        "category": "Reisefuehrer",
        "cluster": "Reisefuehrer",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Leaflet.js",
          "OpenStreetMap/CartoDB Tiles",
          "Wikimedia Images"
        ],
        "tags": [
          "travel",
          "croatia",
          "leaflet",
          "filterable-map",
          "unesco",
          "static",
          "region-guide"
        ],
        "status": "production-ready",
        "overview": "Interaktiver Kroatien-Reisefuehrer mit Leaflet-Karte, filterbar nach Region (Istrien bis Sueddalmatien) und Typ (Strand/Architektur/Natur/Ort), mit Geheimtipp-Markierung. Enthaelt ca. 30 recherchierte Orte mit Bildern, UNESCO-Kennzeichnung und praktischen Reiseinfos (Waehrung, Schengen, Faehren, Bura-Wind).",
        "elevator_pitch": "Ein kuratierter, filterbarer Kroatien-Guide mit ~30 handverlesenen Orten statt endlosem Scrollen durch generische Reiseblogs.",
        "target_audience": "Reisende, die Kroatien (Istrien bis Sueddalmatien) individuell erkunden wollen, mit Fokus auf abseits gelegene \"Geheimtipps\".",
        "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/croatia-adria-guide/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0427",
        "title": "dubrovnik-roadtrip-navigator — Dubrovnik Roadtrip Navigator",
        "project": "dubrovnik-roadtrip-navigator",
        "category": "Reisefuehrer",
        "cluster": "Reisefuehrer",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "Leaflet.js",
          "OSRM Routing API",
          "html2canvas",
          "Font Awesome",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "travel",
          "roadtrip",
          "routing",
          "leaflet",
          "dark-light-theme",
          "png-export",
          "croatia"
        ],
        "status": "production-ready",
        "overview": "Interaktive Leaflet-Karte fuer eine Roadtrip-Route Duesseldorf → Dubrovnik mit festen Stopps (Sehenswuerdigkeiten, Straende, Uebernachtungen), E-Ladestationen- und Nachtfahrt-Gefahren-Overlays, Live-Routenberechnung ueber OSRM sowie PNG-Export und Light/Dark-Theme.",
        "elevator_pitch": "Eine fix-und-fertig geplante Roadtrip-Karte fuer eine konkrete Strecke — inklusive Ladestationen fuer E-Autos und Sicherheitswarnungen fuer Nachtfahrten, nicht nur eine generische Routenplaner-App.",
        "target_audience": "Der Autor/die Familie selbst fuer eine reale, geplante Reise Duesseldorf–Dubrovnik (vermutlich Anlass fuer `dusseldorf-tour-guide-english` und `croatia-adria-guide` im selben Ordner).",
        "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/dubrovnik-roadtrip-navigator/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0428",
        "title": "dusseldorf-tour-guide-english — Duesseldorf Old Town Tour-Guide (English Script Engine)",
        "project": "dusseldorf-tour-guide-english",
        "category": "Reisefuehrer",
        "cluster": "Reisefuehrer",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla JS",
          "statisches Datenarray"
        ],
        "tags": [
          "travel",
          "dusseldorf",
          "tour-script",
          "walking-tour",
          "fortuna-theme",
          "no-backend"
        ],
        "status": "production-ready",
        "overview": "Stationsbasiertes englischsprachiges Skript fuer eine Stadtfuehrung durch die Duesseldorfer Altstadt im Fortuna-Duesseldorf-Look (Rot/Weiss-Vereinsfarben), mit Regieanweisungen und humorvollen historischen Anekdoten zu jeder Station (Carschhaus, Killepitsch, Uerige, Rheinturm etc.). Der Browser-Tab-Titel (\"🔴 F95 TOUR-ENGINE: DÜSSELDORF OLD TOWN\") deutet auf einen Fortuna-Duesseldorf-Fan-Bezug (Vereinskuerzel F95) hin.",
        "elevator_pitch": "Ein humorvolles, als Skript aufbereitetes Tour-Erlebnis fuer die Duesseldorfer Altstadt — kein reiner Faktenkatalog, sondern mit \"Regieanweisungen\" fuer den Guide selbst geschrieben.",
        "target_audience": "Ein selbst durchfuehrender Stadtfuehrer (Freund/Familie als Gruppe), englischsprachige Gaeste in Duesseldorf, Fortuna-Duesseldorf-Fans.",
        "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/dusseldorf-tour-guide-english/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0429",
        "title": "MAPland — GAMES3-chess8-mapland",
        "project": "games3-chess8-mapland",
        "category": "Domvs-Avrea/Map-Navigator",
        "cluster": "Domvs-Avrea/Map-Navigator",
        "tier": "2",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Font Awesome"
        ],
        "tags": [
          "pilgrimage",
          "sacred sites",
          "mapping",
          "travel"
        ],
        "status": "prototype",
        "overview": "Die Orbitron Map Navigator-App ermöglicht die Navigation durch historische Pilgerrouten, Entdeckung sakraler Stätten und spirituelle Reisen mit fortschrittlicher Kartentechnologie und religiösem Inhalt.",
        "elevator_pitch": "Entdecken Sie historische Pilgerstätten und erleben Sie spirituelle Reisen mit innovativer Kartentechnologie.",
        "target_audience": "Reisende, Pilger, spirituell Interessierte.",
        "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/games3-chess8-mapland/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0430",
        "title": "holland1 — Niederländisch für Deutsche: Kompletter Guide",
        "project": "holland1",
        "category": "Domvs-Avrea/Niederländisch-Guide",
        "cluster": "Domvs-Avrea/Niederländisch-Guide",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS"
        ],
        "tags": [
          "niederländisch",
          "reise",
          "sprachführer",
          "interaktive übungen"
        ],
        "status": "prototype",
        "overview": "Umfassender interaktiver Guide für Deutsche, die Niederländisch lernen möchten. Beinhaltet Aussprache, praktische Phrasen, Verkehrsinformationen und Notfälle.",
        "elevator_pitch": "Ein interaktiver Guide für Deutsche, um die niederländische Sprache zu meistern.",
        "target_audience": "Reisende und Urlauber in den Niederlanden.",
        "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/holland1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0431",
        "title": "sanchez930europilger-mapbox12 — EuroPilger-App",
        "project": "sanchez930europilger-mapbox12",
        "category": "EuroPilger",
        "cluster": "EuroPilger",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Mapbox GL JS",
          "Font Awesome 6.4.0"
        ],
        "tags": [
          "pilgerwege",
          "wanderwege",
          "radwege",
          "interaktive karten",
          "reiseplanung"
        ],
        "status": "prototype",
        "overview": "Die EuroPilger-App ermöglicht die Erkundung europäischer Pilger-, Wander- und Radwege mit interaktiven Karten und detaillierten Informationen zu Routen, Städten und Sehenswürdigkeiten.",
        "elevator_pitch": "Entdecken Sie die besten Pilger- und Wanderwege in Europa mit interaktiven Karten.",
        "target_audience": "Reisende, Wanderer, Pilger.",
        "replit_md_path": "HTML-MD-EXPORT/07-travel-guides/sanchez930europilger-mapbox12/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0432",
        "title": "club-album — Champions League Sammelalbum",
        "project": "club-album",
        "category": "Domvs-Avrea/Champions-League-Sammelalbum",
        "cluster": "Domvs-Avrea/Champions-League-Sammelalbum",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3"
        ],
        "tags": [
          "champions-league",
          "fußball",
          "sammelalbum",
          "interaktiv",
          "statistik"
        ],
        "status": "prototype",
        "overview": "Interaktive Web-App zum Sammeln und Entdecken von Legenden aus der Champions League Geschichte, mit detaillierten Statistiken und Highlights. Die App bietet eine ansprechende Benutzeroberfläche mit interaktiven Elementen.",
        "elevator_pitch": "Entdecken Sie die Legenden der Champions League in einem ansprechenden Sammelalbum.",
        "target_audience": "Fußballfans und Sammler.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/club-album/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0433",
        "title": "comic28 — EXCELSIOR! AI Comic Studio Pro",
        "project": "comic28",
        "category": "Domvs-Avrea/Comic-Generator",
        "cluster": "Domvs-Avrea/Comic-Generator",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5.3.2",
          "Tailwind CSS",
          "Google Fonts"
        ],
        "tags": [
          "comic-generator",
          "ai-tools",
          "storytelling",
          "webapp"
        ],
        "status": "prototype",
        "overview": "EXCELSIOR! AI Comic Studio Pro ist eine Webapp, die es Benutzern ermöglicht, mit Hilfe von KI generierte Comics zu erstellen. Sie bietet verschiedene Vorlagen und Anpassungsmöglichkeiten für die Erstellung von Comic-Geschichten.",
        "elevator_pitch": "Erstellen Sie Ihre eigenen Comics mit KI-Unterstützung in wenigen Minuten.",
        "target_audience": "Comic-Enthusiasten, Künstler, Geschichtenerzähler.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/comic28/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0434",
        "title": "de-beauvoir1 — Das Geschenk der Freiheit",
        "project": "de-beauvoir1",
        "category": "Domvs-Avrea/Literarische Werke",
        "cluster": "Domvs-Avrea/Literarische Werke",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5",
          "Font Awesome 6.5.1",
          "Google Fonts Crimson Pro",
          "Montserrat"
        ],
        "tags": [
          "roman",
          "identität",
          "frauen",
          "freiheit",
          "literatur"
        ],
        "status": "live",
        "overview": "Die Webseite präsentiert den Roman \"Das Geschenk der Freiheit\", der sich mit den Themen Identität und Freiheit von Frauen auseinandersetzt. Es handelt sich um eine literarische Darstellung, die in einem ansprechenden Design umgesetzt ist.",
        "elevator_pitch": "Ein fesselnder Roman über die Herausforderungen von Frauen in der Gesellschaft.",
        "target_audience": "Leserinnen und Leser, die sich für feministische Literatur und Identitätsfragen interessieren.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/de-beauvoir1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0435",
        "title": "galaxy-mobile — Interaktive 3D-Galaxie-Visualisierung",
        "project": "galaxy-mobile",
        "category": "Domvs-Avrea/Galaxy Explorer",
        "cluster": "Domvs-Avrea/Galaxy Explorer",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Three.js"
        ],
        "tags": [
          "3D-Visualisierung",
          "Astronomie",
          "Interaktiv",
          "Milchstraße"
        ],
        "status": "prototype",
        "overview": "Galaxy Explorer v3.1 ist eine interaktive Anwendung, die es Nutzern ermöglicht, die Milchstraße in Echtzeit zu erkunden. Die App richtet sich an Astronomen und Hobby-Astronomen.",
        "elevator_pitch": "Erleben Sie die Milchstraße in 3D und entdecken Sie Sterne und Schwarze Löcher.",
        "target_audience": "Astronomie-Enthusiasten und Lernende.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/galaxy-mobile/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0436",
        "title": "genitus-rpg-basic — Arcadia Real Game RPG",
        "project": "genitus-rpg-basic",
        "category": "Arcadia Real Game RPG",
        "cluster": "Arcadia Real Game RPG",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Font Awesome",
          "Google Fonts"
        ],
        "tags": [
          "rollenspiel",
          "mittelalter",
          "abenteuer",
          "interaktive geschichte",
          "fantasy"
        ],
        "status": "prototype",
        "overview": "Arcadia Real Game RPG ist ein interaktives Rollenspiel, das mittelalterliche Abenteuer in Echtzeit simuliert. Spieler können Charaktere steuern, Würfel werfen und Münzspiele durchführen, um das Schicksal zu beeinflussen.",
        "elevator_pitch": "Erlebe ein spannendes mittelalterliches Abenteuer in einem interaktiven Rollenspiel.",
        "target_audience": "Rollenspiel-Enthusiasten und Fantasy-Fans.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/genitus-rpg-basic/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0437",
        "title": "globus-mobile — Interaktive 3D-Visualisierung der Erde",
        "project": "globus-mobile",
        "category": "Domvs-Avrea/Globus-Projekt",
        "cluster": "Domvs-Avrea/Globus-Projekt",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Three.js",
          "D3.js"
        ],
        "tags": [
          "3D-Visualisierung",
          "interaktive Erde",
          "Sonnensystem",
          "Astronomie"
        ],
        "status": "prototype",
        "overview": "Die Anwendung bietet eine interaktive 3D-Visualisierung der Erde, die Städte, Länder und astronomische Objekte darstellt. Sie nutzt moderne Webtechnologien wie Three.js und D3.js für die Darstellung.",
        "elevator_pitch": "Entdecken Sie die Erde und das Sonnensystem in einer interaktiven 3D-Umgebung.",
        "target_audience": "Bildungsinstitutionen, Astronomie-Enthusiasten, Technikinteressierte.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/globus-mobile/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0438",
        "title": "karate1 — 2D Karate Kampfsimulator",
        "project": "karate1",
        "category": "Domvs-Avrea/Kampfsport-Simulator",
        "cluster": "Domvs-Avrea/Kampfsport-Simulator",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript"
        ],
        "tags": [
          "karate",
          "kampfsimulator",
          "2D-spiel",
          "action-game"
        ],
        "status": "prototype",
        "overview": "Ein 2D-Karate-Kampfsimulator, in dem Spieler gegen eine KI-gesteuerte Gegnerin antreten. Die Steuerung erfolgt über Tastenbefehle, um verschiedene Angriffe und Bewegungen auszuführen.",
        "elevator_pitch": "Erlebe spannende Karatekämpfe in einem actiongeladenen 2D-Simulator.",
        "target_audience": "Gaming-Enthusiasten und Kampfspiel-Fans.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/karate1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0439",
        "title": "mobile-chess-1v1-eval (1) — Mobile Chess App für 1vs1-Spiele",
        "project": "mobile-chess-1v1-eval-1",
        "category": "Schach-Apps",
        "cluster": "Schach-Apps",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Chart.js",
          "Stockfish.js"
        ],
        "tags": [
          "chess",
          "mobile-app",
          "AI",
          "1v1",
          "online-chess"
        ],
        "status": "live",
        "overview": "Die Mobile Chess App ermöglicht 1vs1-Schachspiele gegen verschiedene KI-Gegner und bietet verschiedene Spielmodi. Sie ist speziell für mobile Geräte optimiert und bietet eine ansprechende Benutzeroberfläche.",
        "elevator_pitch": "Spiele Schach gegen verschiedene KIs auf deinem mobilen Gerät.",
        "target_audience": "Schachspieler und -interessierte, die mobile Spiele bevorzugen.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/mobile-chess-1v1-eval-1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0440",
        "title": "mourinho1 — Football Academy Pro - Mourinho Method",
        "project": "mourinho1",
        "category": "Football Academy Pro",
        "cluster": "Football Academy Pro",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 5",
          "Chart.js",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "fußballtraining",
          "mourinho-methode",
          "trainingsplan",
          "spielerentwicklung",
          "fußballakademie"
        ],
        "status": "prototype",
        "overview": "Die Webapp bietet Trainingspläne, Übungen, Spielerlisten, Schulnoten und Fortschrittsstatistiken für Fußballtrainer, die die Mourinho-Methoden nutzen möchten.",
        "elevator_pitch": "Eine umfassende Plattform für Fußballtrainer zur Anwendung der Mourinho-Methoden.",
        "target_audience": "Fußballtrainer und -akademien.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/mourinho1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0441",
        "title": "neural-bumper — 2D Bomberman-ähnliches Spiel",
        "project": "neural-bumper",
        "category": "Domvs-Avrea/Gaming-Portfolio",
        "cluster": "Domvs-Avrea/Gaming-Portfolio",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "spiel",
          "bomberman",
          "html5",
          "canvas",
          "gegner-ki"
        ],
        "status": "prototype",
        "overview": "Ein 2D-Spiel, inspiriert von Bomberman, das auf einer HTML5-Canvas basiert. Der Spieler steuert einen Charakter, um Gegner zu besiegen und Hindernisse zu zerstören, um Punkte zu sammeln.",
        "elevator_pitch": "Ein spannendes und herausforderndes Spiel, das strategisches Denken und Geschicklichkeit erfordert.",
        "target_audience": "Spieler, die Spaß an klassischen Arcade-Spielen haben.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neural-bumper/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0442",
        "title": "neural-donkey — NEURAL-KONG Plattformspiel",
        "project": "neural-donkey",
        "category": "Domvs-Avrea/Neural-Kong-Spiel",
        "cluster": "Domvs-Avrea/Neural-Kong-Spiel",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "JavaScript",
          "CSS"
        ],
        "tags": [
          "neural-kong",
          "plattformspiel",
          "arcade",
          "action"
        ],
        "status": "prototype",
        "overview": "NEURAL-KONG ist ein 2D-Plattformspiel, in dem der Spieler einen Charakter steuert, um Hindernissen auszuweichen und Punkte zu sammeln. Das Spiel nutzt HTML5 und JavaScript für die Interaktivität.",
        "elevator_pitch": "Ein spannendes Plattformspiel, das Geschicklichkeit und Reaktionsvermögen erfordert.",
        "target_audience": "Spieler, die Arcade- und Plattformspiele mögen.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neural-donkey/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0443",
        "title": "neuralblackjack — Professionelle Blackjack-App für Casinospieler",
        "project": "neuralblackjack",
        "category": "Blackjack-Tools",
        "cluster": "Blackjack-Tools",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "blackjack",
          "casino",
          "kartenzählen",
          "spielstrategie"
        ],
        "status": "prototype",
        "overview": "Die Anwendung bietet eine interaktive Blackjack-Spielumgebung, die Kartenzählen und Basisspielstrategien unterstützt. Ideal für Casinospieler, die ihre Fähigkeiten verbessern möchten.",
        "elevator_pitch": "Eine professionelle Blackjack-App, die Spielern hilft, strategische Entscheidungen zu treffen.",
        "target_audience": "Casinospieler und Blackjack-Enthusiasten.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralblackjack/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0444",
        "title": "neuralcasino1 — Genitus Casino",
        "project": "neuralcasino1",
        "category": "AI-Casino-Plattformen",
        "cluster": "AI-Casino-Plattformen",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Google Fonts"
        ],
        "tags": [
          "AI-Casino",
          "Online-Casino",
          "Blackjack",
          "Poker",
          "Roulette",
          "Spielstatistiken"
        ],
        "status": "prototype",
        "overview": "Genitus Casino ist eine AI-gestützte Casino-App, die eine Auswahl an Spielen wie Blackjack, Poker und Roulette bietet. Nutzer können ihre Spielstatistiken verfolgen und genießen einen Gewinnsatz von 73,2%.",
        "elevator_pitch": "Erleben Sie die Raffinesse des AI-gestützten Spielens in einer Casino-Atmosphäre.",
        "target_audience": "Glücksspiel-Enthusiasten und Casino-Spieler.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralcasino1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0445",
        "title": "neuralmole — Arcade Whack-a-Mole Spiel",
        "project": "neuralmole",
        "category": "Arcade-Spiele",
        "cluster": "Arcade-Spiele",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript"
        ],
        "tags": [
          "whack-a-mole",
          "arcade-game",
          "online-game",
          "entertainment"
        ],
        "status": "prototype",
        "overview": "\"Arcade Whack-a-Mole\" ist ein interaktives Spiel, bei dem Spieler versuchen, Mäusebilder in einer bestimmten Zeit zu treffen. Es bietet eine einfache, aber unterhaltsame Spielmechanik für alle Altersgruppen.",
        "elevator_pitch": "Ein unterhaltsames Arcade-Spiel, das Geschicklichkeit und Reaktionsschnelligkeit testet.",
        "target_audience": "Spieler jeden Alters, die Spaß an einfachen, interaktiven Spielen haben.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralmole/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0446",
        "title": "neuralnexus — Plattform für KI-gestützte Spiele",
        "project": "neuralnexus",
        "category": "NexusAI Gaming",
        "cluster": "NexusAI Gaming",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "Google Fonts"
        ],
        "tags": [
          "AI-Spiele",
          "adaptives Gaming",
          "Community-Spiele",
          "Online-Spiele"
        ],
        "status": "prototype",
        "overview": "Die Seite bietet eine Sammlung von AI-gestützten Spielen, die sich an die Spielweise des Nutzers anpassen. Sie enthält Community-Statistiken und eine Entwicklungs-Roadmap.",
        "elevator_pitch": "Entdecken Sie die Zukunft des Spielens mit KI-gestützten Spielen.",
        "target_audience": "Gamer und Technikbegeisterte.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralnexus/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0447",
        "title": "neuralpokemon2 — Pokémon Kartenspiel für zwei Spieler",
        "project": "neuralpokemon2",
        "category": "Pokémon Kartenspiel",
        "cluster": "Pokémon Kartenspiel",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "JavaScript",
          "Google Fonts",
          "Font Awesome"
        ],
        "tags": [
          "Pokémon",
          "Kartenspiel",
          "Taktik",
          "Online-Spiel"
        ],
        "status": "prototype",
        "overview": "Ein strategisches Pokémon-Kartenspiel für zwei Spieler, bei dem Pokémon-Karten mit verschiedenen Attributen verglichen werden. Die App lädt Pokémon-Daten und bietet taktische Entscheidungen.",
        "elevator_pitch": "Ein spannendes und strategisches Kartenspiel für Pokémon-Fans.",
        "target_audience": "Pokémon-Enthusiasten und Kartenspieler.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralpokemon2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0448",
        "title": "neuralroulette — AI Roulette Casino",
        "project": "neuralroulette",
        "category": "AI-Spiele",
        "cluster": "AI-Spiele",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS CDN",
          "Three.js"
        ],
        "tags": [
          "roulette",
          "casino",
          "virtuelles Spiel",
          "AI",
          "Glücksspiel"
        ],
        "status": "prototype",
        "overview": "Die AI Roulette Casino-App ist ein eigenständiges Roulette-Spiel, das es Nutzern ermöglicht, virtuell Roulette zu spielen, ohne eine Online-Verbindung zu benötigen. Die Benutzeroberfläche ist einfach und ermöglicht das Setzen von Wetten und das Drehen des Rouletterads.",
        "elevator_pitch": "Ein unterhaltsames, virtuelles Roulette-Erlebnis für Casino-Fans.",
        "target_audience": "Glücksspiel-Enthusiasten und Casino-Spieler.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralroulette/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0449",
        "title": "neuralspace — C64 Space Adventure",
        "project": "neuralspace",
        "category": "Retro-Spiele",
        "cluster": "Retro-Spiele",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "JavaScript"
        ],
        "tags": [
          "C64",
          "Retro-Spiel",
          "Browser-Spiel",
          "Arcade",
          "Nostalgie"
        ],
        "status": "prototype",
        "overview": "C64 Space Adventure ist ein nostalgisches Browser-Spiel, das Spieler in die Rolle eines Raumschiff-Piloten versetzt, der durch den Weltraum navigiert, Hindernisse vermeidet und Gegner bekämpft.",
        "elevator_pitch": "Ein unterhaltsames Retro-Spiel, das die Nostalgie der Commodore 64 Ära aufgreift.",
        "target_audience": "Retro-Spieler und Fans von Arcade-Spielen.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/neuralspace/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0450",
        "title": "nexusai_gaming_hub_updated (3) — NexusAI Gaming Hub",
        "project": "nexusai-gaming-hub-updated-3",
        "category": "NexusAI Gaming Hub",
        "cluster": "NexusAI Gaming Hub",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS3",
          "Google Fonts"
        ],
        "tags": [
          "AI-Spiele",
          "interaktive Spiele",
          "adaptives Gaming",
          "futuristisches Gaming"
        ],
        "status": "live",
        "overview": "Der NexusAI Gaming Hub bietet AI-gestützte Spiele wie 'Noir Detective' und 'Neural Chess', die sich an die Spielweise der Nutzer anpassen. Die Seite ist für Fans von interaktiven und intelligenten Spielen konzipiert.",
        "elevator_pitch": "Entdecken Sie die Zukunft des Spielens mit AI-gestützten, adaptiven Spielen.",
        "target_audience": "Spieler, die innovative und interaktive Spielerlebnisse suchen.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/nexusai-gaming-hub-updated-3/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0451",
        "title": "sanchez930-games-os — NEXUS OS Game Center",
        "project": "sanchez930-games-os",
        "category": "NEXUS OS Game Center",
        "cluster": "NEXUS OS Game Center",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS",
          "Font Awesome 6.0.0",
          "Google Fonts Orbitron"
        ],
        "tags": [
          "spiele",
          "action",
          "puzzle",
          "wortspiele",
          "kartenspiele",
          "sportspiele",
          "KI-gestuetzte spiele"
        ],
        "status": "prototype",
        "overview": "NEXUS OS - Game Center ist eine Webapp, die verschiedene Spielkategorien wie Action, Puzzle, Wortspiele, Kartenspiele und Sportspiele bündelt. Sie richtet sich an Spieler aller Altersgruppen und bietet sowohl klassische als auch KI-gestützte Spiele.",
        "elevator_pitch": "Ein zentrales Spielcenter für verschiedene Spielkategorien.",
        "target_audience": "Spieler aller Altersgruppen.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/sanchez930-games-os/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0452",
        "title": "solar-mobile — Interaktive 3D-Visualisierung des Sonnensystems",
        "project": "solar-mobile",
        "category": "N/A",
        "cluster": "N/A",
        "tier": "2",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Tailwind CSS",
          "Three.js"
        ],
        "tags": [
          "3D-Visualisierung",
          "Sonnensystem",
          "Bildung",
          "interaktiv",
          "Astronomie"
        ],
        "status": "prototype",
        "overview": "Die Anwendung bietet eine interaktive 3D-Darstellung des Sonnensystems mit realistischen Bewegungen der Planeten, ideal für Schüler und Astronomie-Enthusiasten.",
        "elevator_pitch": "Entdecken Sie das Sonnensystem in einer interaktiven 3D-Umgebung.",
        "target_audience": "Schüler, Lehrer, Astronomie-Enthusiasten.",
        "replit_md_path": "HTML-MD-EXPORT/09-media-entertainment/solar-mobile/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0453",
        "title": "manscripts-final-complete — Kommunikationsskripte für Männer in Beziehungen",
        "project": "manscripts-final-complete",
        "category": "Beziehungskommunikation",
        "cluster": "Beziehungskommunikation",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "CSS"
        ],
        "tags": [
          "beziehungskommunikation",
          "männer",
          "partnerschaft",
          "konfliktlösung",
          "ehekommunikation",
          "beziehungstipps"
        ],
        "status": "prototype",
        "overview": "MANscripts bietet praktische Kommunikationsskripte und Strategien für Männer in Beziehungen, um Konflikte zu lösen und bessere Partnerschaften aufzubauen. Die Seite enthält realistische Szenarien und bewährte Dialogtechniken.",
        "elevator_pitch": "Praktische Hilfe für Männer, um ihre Kommunikationsfähigkeiten in Beziehungen zu verbessern.",
        "target_audience": "Männer in Beziehungen, die Konflikte lösen möchten.",
        "replit_md_path": "HTML-MD-EXPORT/10-business-personal-docs/manscripts-final-complete/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0454",
        "title": "genitus-trading-login2 — Zahlungserfolg & Zugangstoken-Seite",
        "project": "genitus-trading-login2",
        "category": "Genitus/Le-MARCHÉ-Oekosystem",
        "cluster": "Genitus/Le-MARCHÉ-Oekosystem",
        "tier": "3",
        "rebuild_grade": "C",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Clipboard API"
        ],
        "tags": [
          "paywall",
          "token-gate",
          "stripe-followup",
          "micro-page",
          "genitus"
        ],
        "status": "prototype",
        "overview": "Sehr kurze (152 Zeilen) Standalone-Seite mit dunklem Card-Design: Häkchen-Icon, Titel \"Zahlung erfolgreich!\", ein fest im HTML eingebetteter Zugangstoken-String, ein \"Token kopieren\"-Button (Clipboard API mit Fallback über `document.execCommand('copy')`) und ein \"Weiter\"-Button, der zu `https://genitus-trading.replit.app/` weiterleitet.",
        "elevator_pitch": "Die Bestätigungs-/Übergabeseite zwischen Bezahlvorgang und eigentlicher Trading-App — reine Funktionsseite, kein eigenständiges Produkt.",
        "target_audience": "Käufer, die soeben einen Zugangstoken für `genitus-trading` erworben haben.",
        "replit_md_path": "HTML-MD-EXPORT/12-hub-portals/genitus-trading-login2/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0455",
        "title": "genitus-travel — Genitus Inc. AI-Plattform (App-Portal)",
        "project": "genitus-travel",
        "category": "Genitus-Oekosystem",
        "cluster": "Genitus-Oekosystem",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Iframe-Embedding",
          "Stripe Payment Links"
        ],
        "tags": [
          "hub-portal",
          "paywall",
          "stripe",
          "iframe-container",
          "genitus",
          "multi-app-shell"
        ],
        "status": "production-ready",
        "overview": "Ein Stripe-monetarisiertes Login-Portal fuer \"Genitus Inc.\": Nutzer geben einen Zugangs-Token ein (gekauft via Stripe-Payment-Link) oder nutzen einen eingeschraenkten Gastmodus. Nach Login zeigt eine schmale Sidebar drei Genitus-Apps als Icon-Liste (genLINGUA/\"AI Vocab\", genTRANSL/\"AI Translator\", genTRAVEL/\"AI Travel Guide\"), von denen die ausgewaehlte per Iframe im Hauptbereich eingebettet wird — in dieser Datei-Variante ist \"AI Travel Guide\" (`genitus-travel.replit.app`) voreingestellt aktiv.",
        "elevator_pitch": "Ein White-Label-App-Portal, das mehrere eigenstaendige Genitus-Apps unter einer bezahlpflichtigen Oberflaeche buendelt — Zugang per Stripe-Kauf eines Tokens statt klassischem Abo-System.",
        "target_audience": "Endnutzer, die Zugang zu den Genitus-KI-Tools (Vokabeltrainer, Uebersetzer, Reisefuehrer) kaufen wollen; Genitus selbst als Distributions-Shell fuer das eigene App-Portfolio.",
        "replit_md_path": "HTML-MD-EXPORT/12-hub-portals/genitus-travel/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0456",
        "title": "investmentstore — AI APP STORE (Domusaurea Desktop-Shell)",
        "project": "investmentstore",
        "category": "Domusaurea Desktop-Shell-Familie",
        "cluster": "Domusaurea Desktop-Shell-Familie",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Bootstrap 4.5 CDN",
          "Framework7",
          "Google Fonts Roboto Mono",
          "Vanilla JS"
        ],
        "tags": [
          "hub-portal",
          "desktop-launcher",
          "taskbar",
          "start-menu",
          "catalog-shell",
          "domusaurea"
        ],
        "status": "production-ready",
        "overview": "Desktop-Shell (390 Zeilen) im Stil eines Betriebssystem-Desktops: Vollbild-Hintergrundbild (`babybounce500.github.io/icon/55.webp`), unten fixierte Taskbar mit \"☰ Start\"-Button und aufklappbarem Start-Menü, in der Fläche zahlreiche Desktop-Icons (`.desktop-icon`) mit Icon-Bild + Label, die auf einzelne domusaurea.tech-Apps verlinken.",
        "elevator_pitch": "\"Ein Desktop für alle deine Finanz-Apps\" — eine Windows-artige Startoberfläche statt einer klassischen Linkliste, wirkt wie ein eigenes Betriebssystem für das domusaurea.tech-Ökosystem.",
        "target_audience": "Endnutzer, die zentral auf das komplette App-Portfolio (Buchhaltung, Bilanz, NFT-Orderbuch, Optionen, Futures, CFD, Investment, Fintech-Bots) zugreifen sollen.",
        "replit_md_path": "HTML-MD-EXPORT/12-hub-portals/investmentstore/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0457",
        "title": "markov-index-final — MARKOV STACK // Master Index",
        "project": "markov-index-final",
        "category": "Markov Stack Hub",
        "cluster": "Markov Stack Hub",
        "tier": "1",
        "rebuild_grade": "B",
        "tech_stack": [
          "HTML5",
          "Vanilla CSS/JS",
          "Google Fonts Orbitron+Fira Code"
        ],
        "tags": [
          "hub-portal",
          "markov-chain",
          "multi-domain-index",
          "nlp",
          "security",
          "trading"
        ],
        "status": "prototype",
        "overview": "Umfangreiche Hub-Seite (1420 Zeilen) im selben Light/Dark-Design-System wie `lemarche-index`/`neural-command`: filterbare Kartenliste (Filter-Buttons 🎨 Creative / 📈 Trading / 🔐 Security) für den kompletten \"Markov Stack\" — von Char-Level-Textgeneratoren über MCMC/HMM-Demos bis zu zwei Trading-Terminals (Intraday Markov, Intraday Shannon, siehe auch `iso-joe-micro-hour-terminal-shannon` in diesem Batch).",
        "elevator_pitch": "Ein kuratiertes Schaufenster aller Markov-Ketten-Experimente eines Entwicklers/Teams — von kreativen Text-Mutationen bis zu quantitativen Trading-Signalen, vereint unter einem gemeinsamen technischen Prinzip (Markov-Ketten) statt einem gemeinsamen Anwendungsfeld.",
        "target_audience": "Technisch interessiertes Publikum (Entwickler, Nerds), das die Bandbreite der Markov-Kette als Konzept demonstriert bekommen soll — weniger ein klassisches Fintech-Publikum.",
        "replit_md_path": "HTML-MD-EXPORT/12-hub-portals/markov-index-final/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0458",
        "title": "goldshield-ai-le-marche-ai-investor-pitch1 — Investor Pitch (PDF, Deutsch)",
        "project": "goldshield-ai-le-marche-ai-investor-pitch1",
        "category": "unbekannt",
        "cluster": "unbekannt",
        "tier": "3",
        "rebuild_grade": "N/A",
        "tech_stack": [
          "unbekannt — nur Remote-Redirect auf PDF"
        ],
        "tags": [
          "redirect-stub",
          "unresolved",
          "no-local-source",
          "pdf",
          "investor-pitch"
        ],
        "status": "external-stub",
        "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Ziel ist keine HTML-App, sondern ein **PDF-Dokument**: `https://domusaurea.tech/GoldShield AI & Le MARCHÉ AI – Investor Pitch1.pdf`. Original-Label im Desktop-Katalog: \"PITCHdt\" (vermutlich \"Pitch Deutsch\").",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/goldshield-ai-le-marche-ai-investor-pitch1/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0459",
        "title": "goldshield-ai-le-marche-ai-investor-pitchenglish — Investor Pitch (PDF, Englisch)",
        "project": "goldshield-ai-le-marche-ai-investor-pitchenglish",
        "category": "unbekannt",
        "cluster": "unbekannt",
        "tier": "3",
        "rebuild_grade": "N/A",
        "tech_stack": [
          "unbekannt — nur Remote-Redirect auf PDF"
        ],
        "tags": [
          "redirect-stub",
          "unresolved",
          "no-local-source",
          "pdf",
          "investor-pitch"
        ],
        "status": "external-stub",
        "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Ziel ist ein **PDF-Dokument**: `https://domusaurea.tech/GoldShield AI & Le MARCHÉ AI – Investor Pitchenglish.pdf`. Original-Label im Desktop-Katalog: \"PITCHeng\".",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/goldshield-ai-le-marche-ai-investor-pitchenglish/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0460",
        "title": "investment-dvag-audio — invest (investment-dvag-audio.wav)",
        "project": "investment-dvag-audio",
        "category": "unbekannt (vermutlich DVAG-Investment-Audio-Serie)",
        "cluster": "unbekannt (vermutlich DVAG-Investment-Audio-Serie)",
        "tier": "3",
        "rebuild_grade": "N/A",
        "tech_stack": [
          "unbekannt — nur Remote-Redirect"
        ],
        "tags": [
          "redirect-stub",
          "unresolved",
          "no-local-source",
          "audio-file"
        ],
        "status": "external-stub",
        "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Original-Label im Desktop-Katalog: \"invest\". Original-Ziel: `https://domusaurea.tech/investment-dvag-audio.wav` — bereits am `.wav`-Suffix erkennbar, dass das Ziel selbst keine HTML-App, sondern eine Audiodatei ist (vermutlich eine gesprochene Investment-Erklaerung/Pitch-Aufnahme im DVAG-Kontext).",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/investment-dvag-audio/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0461",
        "title": "le-marche — LE-MARCHE (LE-MARCHE.png)",
        "project": "le-marche",
        "category": "unbekannt",
        "cluster": "unbekannt",
        "tier": "3",
        "rebuild_grade": "N/A",
        "tech_stack": [
          "unbekannt — nur Remote-Redirect"
        ],
        "tags": [
          "redirect-stub",
          "unresolved",
          "no-local-source"
        ],
        "status": "external-stub",
        "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Original-Label im Desktop-Katalog: \"LE-MARCHE\". Original-Ziel: `https://domusaurea.tech/LE-MARCHE.png`.",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/le-marche/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0462",
        "title": "wiresprachelexi11 — reiseführer (WIREspracheLEXI11)",
        "project": "wiresprachelexi11",
        "category": "unbekannt",
        "cluster": "unbekannt",
        "tier": "3",
        "rebuild_grade": "N/A",
        "tech_stack": [
          "unbekannt — nur Remote-Redirect"
        ],
        "tags": [
          "redirect-stub",
          "unresolved",
          "no-local-source"
        ],
        "status": "external-stub",
        "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Original-Label im Desktop-Katalog: \"reiseführer\". Original-Ziel: `https://domusaurea.tech/WIREspracheLEXI11.html`.",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/wiresprachelexi11/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "html_stack",
        "record_id": "new-html-stack:0463",
        "title": "wiresprachelexi5 — reisemini (WIREspracheLEXI5)",
        "project": "wiresprachelexi5",
        "category": "unbekannt",
        "cluster": "unbekannt",
        "tier": "3",
        "rebuild_grade": "N/A",
        "tech_stack": [
          "unbekannt — nur Remote-Redirect"
        ],
        "tags": [
          "redirect-stub",
          "unresolved",
          "no-local-source"
        ],
        "status": "external-stub",
        "overview": "Reiner Redirect-Stub (`<meta http-equiv=\"refresh\">`) ohne lokal auffindbaren Quellcode. Original-Label im Desktop-Katalog: \"reisemini\". Original-Ziel: `https://domusaurea.tech/WIREspracheLEXI5.html`.",
        "elevator_pitch": "",
        "target_audience": "",
        "replit_md_path": "HTML-MD-EXPORT/99-uncategorized/wiresprachelexi5/project.md",
        "source": "new-html-stack.json",
        "source_path": "new-html-stack.json",
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": true
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-101",
        "title": "erstelle einen Multi-Model-AI-Chat-Hub Provider-Switch",
        "prompt_number": 101,
        "prompt": "erstelle einen Multi-Model-AI-Chat-Hub Provider-Switch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Modell-Umschalter GPT-4o/Claude/Mistral/Gemini mit Live-Kostenanzeige pro 1K Tokens, Streaming-Antworten mit Typewriter-Effekt, Konversations-Threads mit Umbenennen/Archivieren, System-Prompt-Editor mit Presets, Token-Verbrauchs-Chart pro Session (ApexCharts Area), Konversations-Export Markdown/JSON, Wissensdatenbank-Upload PDF/TXT mit Chunk-Preview (D3.js Baumdiagramm), Antwort-Vergleich Side-by-Side zwei Modelle gleichzeitig, Rate-Limit-Warnanzeige, Prompt-Bibliothek mit Kategorien, Dark/Light Mode, GSAP Message-Bubble-Animationen - USE CASE: Entwickler vergleichen Modell-Antworten und Kosten vor Produktiv-Einsatz, Power-User verwalten mehrere parallele Recherche-Threads mit Wissensbasis. WICHTIG: nutzt ausschließlich einen serverseitigen Proxy-Endpunkt für API-Calls, niemals Provider-Keys im Client-Code (siehe SECURITY-FINDINGS.md im Stack für Negativ-Beispiele).",
        "overview": "erstelle einen Multi-Model-AI-Chat-Hub Provider-Switch",
        "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
        "category_number": 1,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Entwickler vergleichen Modell-Antworten und Kosten vor Produktiv-Einsatz, Power-User verwalten mehrere parallele Recherche-Threads mit Wissensbasis. WICHTIG: nutzt ausschließlich einen serverseitigen Proxy-Endpunkt für API-Calls, niemals Provider-Keys im Client-Code (siehe SECURITY-FINDINGS.md im Stack für Negativ-Beispiele).",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-102",
        "title": "entwickle eine AI-Code-Pair-Programming-Workbench",
        "prompt_number": 102,
        "prompt": "entwickle eine AI-Code-Pair-Programming-Workbench - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Split-View Editor+Chat mit Syntax-Highlighting (CodeMirror-Style), Diff-Viewer vor/nach KI-Vorschlag farbcodiert, Snippet-Bibliothek mit Tag-Suche, Sprachauswahl JS/Python/HTML/SQL, Inline-Erklärungs-Popover pro Codezeile, Test-Ausführungs-Mock mit Pass/Fail-Anzeige, Refactoring-Vorschläge als Kartenliste, Commit-Message-Generator aus Diff, Code-Komplexitäts-Score-Anzeige (ApexCharts Radial), Session-History mit Wiederherstellen, Keyboard-Shortcuts-Cheatsheet Overlay, GSAP Diff-Highlight-Animationen - USE CASE: Entwickler nutzen die App als Sandbox für KI-unterstütztes Pairing ohne IDE-Installation, Teams dokumentieren KI-Vorschläge nachvollziehbar für Code-Reviews.",
        "overview": "entwickle eine AI-Code-Pair-Programming-Workbench",
        "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
        "category_number": 1,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Entwickler nutzen die App als Sandbox für KI-unterstütztes Pairing ohne IDE-Installation, Teams dokumentieren KI-Vorschläge nachvollziehbar für Code-Reviews.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-103",
        "title": "programmiere ein Prompt-Engineering-Batch-Generator-Studio",
        "prompt_number": 103,
        "prompt": "programmiere ein Prompt-Engineering-Batch-Generator-Studio - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Prompt-Template-Editor mit Variablen-Platzhaltern {{variable}}, CSV-Import für Batch-Variablen mit Vorschau-Tabelle, Batch-Queue-Manager mit Fortschrittsbalken pro Job, Kosten-Schätzer vor Ausführung nach Modell/Tokenanzahl (ApexCharts Balken), Ergebnis-Diff zwischen Prompt-Varianten A/B-Test, Export aller Ergebnisse als CSV/JSON, Retry-Logik-Visualizer bei Fehlern, Template-Versionierung mit Rollback, Rate-Limit-Scheduler Verzögerung zwischen Calls, Duplikat-Erkennung ähnlicher Prompts (D3.js Ähnlichkeits-Cluster), GSAP Queue-Progress-Animationen - USE CASE: Content-Teams generieren hunderte Produktbeschreibungen aus einer Vorlage batch-weise, QA-Teams testen Prompt-Varianten systematisch vor Rollout.",
        "overview": "programmiere ein Prompt-Engineering-Batch-Generator-Studio",
        "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
        "category_number": 1,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Content-Teams generieren hunderte Produktbeschreibungen aus einer Vorlage batch-weise, QA-Teams testen Prompt-Varianten systematisch vor Rollout.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-104",
        "title": "baue einen Retrieval-Augmented-Chatbot-Builder mit Wissensdatenbank",
        "prompt_number": 104,
        "prompt": "baue einen Retrieval-Augmented-Chatbot-Builder mit Wissensdatenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokumenten-Upload-Zone mit Chunking-Strategie-Auswahl Größe/Overlap, Chunk-Preview-Liste durchsuchbar, Embedding-Fortschritt-Visualizer (ApexCharts Progress), Ähnlichkeitssuche-Tester mit Top-K-Ergebnissen und Score, Citation-Anzeige im Chat mit Quellenverweis-Badges, Wissensbasis-Statistiken Dokumente/Chunks/Größe (D3.js Donut), Reindexierungs-Button bei Dokumentänderung, Antwort-Grounding-Score wie viel aus Kontext vs Modell-Wissen, Konflikt-Erkennung widersprüchliche Quellen, Mehrsprachigkeits-Support Auto-Detect, Export Wissensbasis als JSON, GSAP Chunk-Highlight-Animationen - USE CASE: Support-Teams bauen firmeninternes Q&A-System über eigene Dokumentation, Berater erstellen kundenspezifische Wissens-Chatbots ohne Backend-Entwicklung.",
        "overview": "baue einen Retrieval-Augmented-Chatbot-Builder mit Wissensdatenbank",
        "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
        "category_number": 1,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Support-Teams bauen firmeninternes Q&A-System über eigene Dokumentation, Berater erstellen kundenspezifische Wissens-Chatbots ohne Backend-Entwicklung.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-105",
        "title": "erstelle ein AI-Voice-Assistant-Interface Mockup",
        "prompt_number": 105,
        "prompt": "erstelle ein AI-Voice-Assistant-Interface Mockup - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mikrofon-Aktivitäts-Visualizer Waveform Live (D3.js Canvas), Speech-to-Text-Transkript-Anzeige mit Zwischenspeicherung, Text-to-Speech-Playback-Steuerung Geschwindigkeit/Stimme, Wakeword-Simulation mit Trigger-Historie, Konversations-Verlauf als Chat-Bubbles mit Audio-Replay-Button, Intent-Erkennungs-Debug-Panel zeigt erkannte Absicht, Befehls-Bibliothek häufige Sprachbefehle als Karten, Latenz-Anzeige Antwortzeit (ApexCharts Sparkline), Offline-Fallback-Hinweis, Mehrsprachigkeit Umschalter DE/EN, Barrierefreiheits-Modus große Schrift, GSAP Waveform-Puls-Animationen - USE CASE: Produktteams demonstrieren Voice-UI-Konzepte ohne echte Spracherkennungs-Integration, Entwickler testen Konversationsabläufe visuell vor Backend-Anbindung.",
        "overview": "erstelle ein AI-Voice-Assistant-Interface Mockup",
        "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
        "category_number": 1,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Produktteams demonstrieren Voice-UI-Konzepte ohne echte Spracherkennungs-Integration, Entwickler testen Konversationsabläufe visuell vor Backend-Anbindung.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-106",
        "title": "entwickle ein Multi-Agent-Orchestrator-Dashboard",
        "prompt_number": 106,
        "prompt": "entwickle ein Multi-Agent-Orchestrator-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Agenten-Rollen-Übersicht Planner/Researcher/Coder/Reviewer als Karten, Task-Queue-Visualizer mit Status Pending/Running/Done/Failed (D3.js Kanban), Agent-zu-Agent-Kommunikations-Log chronologisch, Function-Calling-Protokoll mit Input/Output pro Aufruf, Abhängigkeits-Graph zwischen Tasks (D3.js Force-Directed), Kosten- & Latenz-Aggregation pro Agent (ApexCharts Stacked Bar), Fehler-Eskalations-Anzeige bei Agent-Blockade, Manuelle Eingriffs-Möglichkeit Task pausieren/überspringen, Ausführungs-Timeline Gantt-Ansicht, Agent-Konfigurations-Editor Rolle/System-Prompt/Tools, Export vollständiger Run-Protokolle, GSAP Task-Status-Übergangs-Animationen - USE CASE: Entwickler debuggen komplexe Multi-Agent-Workflows visuell statt in Log-Dateien, Teams zeigen Stakeholdern nachvollziehbar wie ein Agenten-System zu einem Ergebnis kam.",
        "overview": "entwickle ein Multi-Agent-Orchestrator-Dashboard",
        "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
        "category_number": 1,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Entwickler debuggen komplexe Multi-Agent-Workflows visuell statt in Log-Dateien, Teams zeigen Stakeholdern nachvollziehbar wie ein Agenten-System zu einem Ergebnis kam.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-107",
        "title": "programmiere einen AI-Übersetzer & Sprachlern-Assistenten",
        "prompt_number": 107,
        "prompt": "programmiere einen AI-Übersetzer & Sprachlern-Assistenten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sofort-Übersetzung Multi-Language mit Aussprache-Audio-Button, Vokabeltrainer mit Spaced-Repetition-Algorithmus SRS, Flashcard-Stapel nach Themen, Fortschritts-Statistik gelernte/fällige Wörter (ApexCharts Kalender-Heatmap), Satzbau-Analyse mit Grammatik-Hervorhebung, Konjugations-/Deklinations-Tabellen-Generator, Hör-Verstehen-Modus mit Lückentext, Aussprache-Bewertung Mock-Score, Lernstreak-Tracker mit Gamification-Badges, Themen-Wortschatzlisten Reise/Business/Alltag, Offline-Wortschatz-Cache, GSAP Karten-Flip-Animationen - USE CASE: Sprachlerner üben täglich mit personalisiertem Wiederholungssystem, Reisende nutzen die App als Offline-Phrasebuch mit Ausspracheunterstützung.",
        "overview": "programmiere einen AI-Übersetzer & Sprachlern-Assistenten",
        "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
        "category_number": 1,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Sprachlerner üben täglich mit personalisiertem Wiederholungssystem, Reisende nutzen die App als Offline-Phrasebuch mit Ausspracheunterstützung.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-108",
        "title": "baue einen KI-gestützten CRM-Copilot für Vertrieb",
        "prompt_number": 108,
        "prompt": "baue einen KI-gestützten CRM-Copilot für Vertrieb - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead-Scoring-Liste mit KI-Begründung pro Score (ApexCharts Balken), E-Mail-Entwurf-Generator basierend auf Kontakt-Historie, Meeting-Zusammenfassungs-Generator aus Notizen-Stichpunkten, Next-Best-Action-Vorschläge pro Kontakt, Einwand-Behandlungs-Bibliothek durchsuchbar, Vertriebs-Pipeline-Kanban mit Drag&Drop, Gesprächsleitfaden-Generator nach Kundentyp, Sentiment-Anzeige aus E-Mail-Verlauf, Follow-Up-Erinnerungs-Kalender, Deal-Wahrscheinlichkeits-Anzeige (D3.js Gauge), Team-Aktivitäts-Feed, GSAP Karten-Übergangs-Animationen - USE CASE: Vertriebsmitarbeiter priorisieren Leads datenbasiert statt nach Bauchgefühl, Sales-Teams standardisieren Kommunikation mit KI-Unterstützung ohne CRM-Systemwechsel.",
        "overview": "baue einen KI-gestützten CRM-Copilot für Vertrieb",
        "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
        "category_number": 1,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Vertriebsmitarbeiter priorisieren Leads datenbasiert statt nach Bauchgefühl, Sales-Teams standardisieren Kommunikation mit KI-Unterstützung ohne CRM-Systemwechsel.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-109",
        "title": "erstelle ein AI-Content-Moderation & Sicherheits-Dashboard",
        "prompt_number": 109,
        "prompt": "erstelle ein AI-Content-Moderation & Sicherheits-Dashboard - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Prompt-Injection-Detector-Log mit Risiko-Score pro Eingabe, Halluzinations-Warnsystem markiert unsichere Aussagen, Kosten-Monitor pro Modell/Team/Tag (ApexCharts Stacked Area), Rate-Limit-Verstoß-Historie, Content-Filter-Regeln-Editor Blocklist/Allowlist, Jailbreak-Versuch-Erkennungs-Log, PII-Erkennung in Nutzereingaben Warnhinweis, Audit-Trail aller Moderations-Entscheidungen, Modell-Vergleich Sicherheits-Score, Incident-Response-Checkliste bei Vorfall, Compliance-Export für Audits, GSAP Alert-Puls-Animationen - USE CASE: Plattform-Betreiber überwachen KI-Feature-Nutzung auf Missbrauch und Kosten, Compliance-Teams dokumentieren Sicherheitsmaßnahmen für Audits nachvollziehbar.",
        "overview": "erstelle ein AI-Content-Moderation & Sicherheits-Dashboard",
        "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
        "category_number": 1,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Plattform-Betreiber überwachen KI-Feature-Nutzung auf Missbrauch und Kosten, Compliance-Teams dokumentieren Sicherheitsmaßnahmen für Audits nachvollziehbar.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-110",
        "title": "entwickle einen Personal-AI-Knowledge-Assistant Second-Brain",
        "prompt_number": 110,
        "prompt": "entwickle einen Personal-AI-Knowledge-Assistant Second-Brain - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Notiz-Import Markdown/TXT mit Auto-Tagging via Keyword-Extraktion, Frage-Antwort-Interface über eigene Notizen mit Quellenverweis, Wissensgraph-Ansicht Verknüpfungen zwischen Notizen (D3.js Force-Directed Graph), Tägliche Review-Erinnerung wichtige Notizen, Volltextsuche mit Fuzzy-Matching, Themen-Cluster automatisch erkannt, Zeitleisten-Ansicht Notizen chronologisch, Backlink-Anzeige pro Notiz, Export als strukturiertes PDF, Duplikat-Erkennung ähnlicher Notizen, Lesezeit-Schätzung pro Sammlung, GSAP Graph-Node-Animationen - USE CASE: Wissensarbeiter bauen ein durchsuchbares persönliches Archiv aus Jahren an Notizen auf, Recherche-Teams finden Verbindungen zwischen Themen die sonst verborgen blieben. ## Kategorie 2: TRADING & QUANT-TERMINALS",
        "overview": "entwickle einen Personal-AI-Knowledge-Assistant Second-Brain",
        "category": "AI-AGENTEN, CHATBOTS & LLM-TOOLS",
        "category_number": 1,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Wissensarbeiter bauen ein durchsuchbares persönliches Archiv aus Jahren an Notizen auf, Recherche-Teams finden Verbindungen zwischen Themen die sonst verborgen blieben. ## Kategorie 2: TRADING & QUANT-TERMINALS",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-111",
        "title": "erstelle ein Multi-Timeframe-RSI-Momentum-Scanner-Terminal",
        "prompt_number": 111,
        "prompt": "erstelle ein Multi-Timeframe-RSI-Momentum-Scanner-Terminal - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: RSI-Berechnung 14/9/21-Perioden gleichzeitig über Timeframes 1H/4H/1D, Watchlist mit Live-Ampel überkauft/überverkauft/neutral, Divergenz-Erkennung Kurs vs RSI automatisch markiert (D3.js Overlay), Multi-Asset-Grid Aktien/Krypto/Forex parallel, Alert-Konfigurator Schwellenwert-basiert, Candlestick-Chart mit RSI-Subplot (ApexCharts Combo), Backtesting-Mini-Modul Trefferquote historisch, Export gefilterter Signale als CSV, Farbcodierte Heatmap-Übersicht Sektoren (D3.js Treemap), Positionsgrößen-Rechner integriert, GSAP Signal-Aufblink-Animationen - USE CASE: Trader scannen dutzende Assets gleichzeitig auf Einstiegssignale ohne mehrere Tabs, Einsteiger lernen RSI-Divergenzen visuell zu erkennen.",
        "overview": "erstelle ein Multi-Timeframe-RSI-Momentum-Scanner-Terminal",
        "category": "TRADING & QUANT-TERMINALS",
        "category_number": 2,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Trader scannen dutzende Assets gleichzeitig auf Einstiegssignale ohne mehrere Tabs, Einsteiger lernen RSI-Divergenzen visuell zu erkennen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-112",
        "title": "entwickle einen Markov-Chain-Kursprognose-Simulator",
        "prompt_number": 112,
        "prompt": "entwickle einen Markov-Chain-Kursprognose-Simulator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zustandsübergangs-Matrix-Editor Auf/Seitwärts/Ab-Wahrscheinlichkeiten, Monte-Carlo-Simulation 1000 Pfade (D3.js Fächer-Diagramm), Historische Kalibrierung aus eingegebenen Kursdaten, Konfidenzintervall-Band um Median-Pfad (ApexCharts Range Area), Zustandsverweildauer-Analyse durchschnittliche Tage pro Regime, Regime-Wechsel-Wahrscheinlichkeits-Heatmap, Vergleich Simuliert vs Tatsächlich Backtesting-Ansicht, Sensitivitäts-Analyse bei Matrix-Änderung Live-Update, Export Simulationsergebnisse CSV, Wahrscheinlichkeits-Baum-Visualisierung 3 Schritte voraus (D3.js Tree), GSAP Pfad-Zeichnungs-Animationen - USE CASE: Quant-affine Trader visualisieren stochastische Kursmodelle statt reiner Chartanalyse, Lernende verstehen Markov-Ketten anhand echter Marktdaten praktisch.",
        "overview": "entwickle einen Markov-Chain-Kursprognose-Simulator",
        "category": "TRADING & QUANT-TERMINALS",
        "category_number": 2,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Quant-affine Trader visualisieren stochastische Kursmodelle statt reiner Chartanalyse, Lernende verstehen Markov-Ketten anhand echter Marktdaten praktisch.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-113",
        "title": "programmiere einen Options-Pricing & Griechen-Rechner Professional",
        "prompt_number": 113,
        "prompt": "programmiere einen Options-Pricing & Griechen-Rechner Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Black-Scholes-Rechner Call/Put mit allen Eingabeparametern, Griechen-Dashboard Delta/Gamma/Theta/Vega/Rho mit Erklär-Tooltips, Payoff-Diagramm bei Verfall (ApexCharts Line), Implizite-Volatilität-Solver aus Marktpreis, Volatility-Smile-Visualizer über Strikes (D3.js Kurve), Zeit-Zerfall-Simulator Theta über verbleibende Laufzeit, Strategie-Baukasten Straddle/Strangle/Spread mit kombiniertem Payoff, Sensitivitäts-Slider Live-Neuberechnung bei Parameter-Änderung, Break-Even-Punkt-Anzeige, Vergleich amerikanische vs europäische Optionen, Historische-Volatilität-Rechner aus Kursreihe, GSAP Payoff-Kurven-Animationen - USE CASE: Optionshändler kalkulieren Strategien vor Orderaufgabe ohne Broker-Tool, Studierende lernen Optionsbewertung anhand interaktiver Griechen-Visualisierung.",
        "overview": "programmiere einen Options-Pricing & Griechen-Rechner Professional",
        "category": "TRADING & QUANT-TERMINALS",
        "category_number": 2,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Optionshändler kalkulieren Strategien vor Orderaufgabe ohne Broker-Tool, Studierende lernen Optionsbewertung anhand interaktiver Griechen-Visualisierung.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-114",
        "title": "baue einen Breakout-Scanner mit Pivot-Punkten Multi-Asset",
        "prompt_number": 114,
        "prompt": "baue einen Breakout-Scanner mit Pivot-Punkten Multi-Asset - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pivot-Punkt-Berechnung Standard/Fibonacci/Camarilla, Support-/Resistance-Level-Overlay auf Chart (ApexCharts Annotations), Breakout-Alert bei Level-Durchbruch mit Volumen-Bestätigung, Multi-Asset-Watchlist DAX/Dow/Nasdaq/Krypto parallel, Konsolidierungs-Erkennung enge Range vor Ausbruch, False-Breakout-Filter Mindest-Volumen-Schwelle, Historische Trefferquote pro Level-Typ (ApexCharts Balken), Zeitzonen-Anzeige für internationale Märkte, Volumen-Profil-Overlay (D3.js), Screenshot-Export für Trading-Journal, Sound-Alert-Simulation bei Trigger, GSAP Level-Break-Highlight-Animationen - USE CASE: Daytrader überwachen mehrere Märkte auf Ausbruchssignale gleichzeitig, Swing-Trader planen Einstiege anhand historisch verlässlicher Pivot-Level.",
        "overview": "baue einen Breakout-Scanner mit Pivot-Punkten Multi-Asset",
        "category": "TRADING & QUANT-TERMINALS",
        "category_number": 2,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Daytrader überwachen mehrere Märkte auf Ausbruchssignale gleichzeitig, Swing-Trader planen Einstiege anhand historisch verlässlicher Pivot-Level.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-115",
        "title": "erstelle einen Crypto-Portfolio-Tracker mit Risiko-Heatmap",
        "prompt_number": 115,
        "prompt": "erstelle einen Crypto-Portfolio-Tracker mit Risiko-Heatmap - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Holdings-Verwaltung BTC/ETH/Altcoins mit manueller Preis-Eingabe (Mock statt Live-API), Allokations-Donut nach Coin und nach Kategorie L1/DeFi/Meme (ApexCharts), Korrelations-Heatmap zwischen Coins (D3.js), Volatilitäts-Ranking 30-Tage-Rolling, Drawdown-Analyse historisch größte Verluste, Rebalancing-Vorschlag bei Zielgewicht-Abweichung, Steuerlot-Tracker FIFO für Verkaufsreihenfolge, Angst-&-Gier-Index-Anzeige Mock-Gauge, Diversifikations-Score Gesamtportfolio, Wal-Bewegungs-Log Mock-Einträge große Transaktionen, Export Portfolio-Snapshot PDF, GSAP Preis-Änderungs-Puls-Animationen - USE CASE: Krypto-Anleger behalten Risikokonzentration über viele Coins hinweg im Blick, Berater zeigen Kunden anschaulich warum Diversifikation auch bei Krypto zählt.",
        "overview": "erstelle einen Crypto-Portfolio-Tracker mit Risiko-Heatmap",
        "category": "TRADING & QUANT-TERMINALS",
        "category_number": 2,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Krypto-Anleger behalten Risikokonzentration über viele Coins hinweg im Blick, Berater zeigen Kunden anschaulich warum Diversifikation auch bei Krypto zählt.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-116",
        "title": "entwickle ein Saisonalitäts-Analyse-Terminal Monats-Quartals-Pattern",
        "prompt_number": 116,
        "prompt": "entwickle ein Saisonalitäts-Analyse-Terminal Monats-Quartals-Pattern - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Monatliche Durchschnittsrendite-Heatmap über 20+ Jahre (D3.js Kalender-Heatmap), Bester/Schlechtester-Monat-Ranking pro Asset, Quartalsvergleich-Chart Multi-Year-Overlay (ApexCharts), Vorwahljahr-Effekt US-Wahlzyklus-Visualizer, Sell-in-May-Analyse historisch, Santa-Claus-Rally-Tracker Dezember-Pattern, Wochentags-Effekt-Analyse Montag vs Freitag Renditen, Feiertags-Volatilitäts-Muster, Statistische Signifikanz-Anzeige pro Pattern, Custom-Zeitraum-Vergleichs-Tool, Export Saisonalitäts-Report PDF, GSAP Kalender-Zell-Animationen - USE CASE: Trader timen Positionen anhand statistisch robuster saisonaler Muster, Content-Ersteller erklären Kunden Marktzyklen mit belastbaren historischen Daten.",
        "overview": "entwickle ein Saisonalitäts-Analyse-Terminal Monats-Quartals-Pattern",
        "category": "TRADING & QUANT-TERMINALS",
        "category_number": 2,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Trader timen Positionen anhand statistisch robuster saisonaler Muster, Content-Ersteller erklären Kunden Marktzyklen mit belastbaren historischen Daten.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-117",
        "title": "programmiere einen Positionsgrößen & Risikomanagement-Rechner Pro",
        "prompt_number": 117,
        "prompt": "programmiere einen Positionsgrößen & Risikomanagement-Rechner Pro - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Positionsgröße-Rechner aus Kontogröße/Risiko-Prozent/Stop-Distanz, Risk-of-Ruin-Simulator bei Verlustserie (D3.js Monte-Carlo), Kelly-Kriterium-Rechner mit Fractional-Kelly-Option, R-Multiple-Tracker pro Trade Historie, Drawdown-Recovery-Rechner wie viel Prozent Gewinn nötig, Portfolio-Heat-Anzeige Gesamtrisiko offener Positionen (ApexCharts Gauge), Korrelierte-Positionen-Warner ähnliche Assets gleichzeitig offen, Trade-Journal mit Tags Setup/Emotion, Win-Rate-vs-Payoff-Ratio-Matrix Break-Even-Linie, Max-Verlust-pro-Tag-Limiter mit Sperr-Hinweis, Export Trading-Journal CSV, GSAP Risiko-Ampel-Animationen - USE CASE: Trader diszipliniert konsistente Positionsgrößen statt willkürlicher Beträge, Prop-Trading-Aspiranten üben Risikomanagement-Regeln vor echtem Kapitaleinsatz.",
        "overview": "programmiere einen Positionsgrößen & Risikomanagement-Rechner Pro",
        "category": "TRADING & QUANT-TERMINALS",
        "category_number": 2,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Trader diszipliniert konsistente Positionsgrößen statt willkürlicher Beträge, Prop-Trading-Aspiranten üben Risikomanagement-Regeln vor echtem Kapitaleinsatz.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-118",
        "title": "baue einen ETF-Sparplan-Vergleichs-Terminal mit TER-Impact",
        "prompt_number": 118,
        "prompt": "baue einen ETF-Sparplan-Vergleichs-Terminal mit TER-Impact - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Datenbank-Filter nach TER/Fondsgröße/Replikationsmethode/Ausschüttung, Kostenvergleich-Rechner TER-Impact über 30 Jahre (ApexCharts Flächendiagramm), Tracking-Difference-Anzeige vs offizielle TER, Sparplan-Rechner mit dynamischer Raten-Erhöhung, Core-Satellite-Portfolio-Builder Drag&Drop, Steuerliche-Vorabpauschale-Rechner Deutschland, Sparplan-Ausführungstermine-Vergleich Broker-Simulator, Historische-Rendite-Vergleich mehrerer ETFs (D3.js Multi-Line), Ausschüttungskalender thesaurierend vs ausschüttend, Rebalancing-Frequenz-Impact-Simulator, Export Sparplan-Konfiguration PDF, GSAP Kosten-Vergleichs-Balken-Animationen - USE CASE: Selbstentscheider vergleichen ETFs objektiv statt nach Werbung, Berater zeigen Kunden den langfristigen Kosteneffekt kleiner TER-Unterschiede.",
        "overview": "baue einen ETF-Sparplan-Vergleichs-Terminal mit TER-Impact",
        "category": "TRADING & QUANT-TERMINALS",
        "category_number": 2,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Selbstentscheider vergleichen ETFs objektiv statt nach Werbung, Berater zeigen Kunden den langfristigen Kosteneffekt kleiner TER-Unterschiede.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-119",
        "title": "erstelle eine Forex-Korrelations-Matrix & Carry-Trade-Finder",
        "prompt_number": 119,
        "prompt": "erstelle eine Forex-Korrelations-Matrix & Carry-Trade-Finder - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Währungspaar-Korrelations-Matrix Heatmap 20+ Paare (D3.js), Carry-Trade-Finder Zinsdifferenz-Ranking zwischen Ländern, Risiko-Sentiment-Anzeige Risk-On/Risk-Off Mock-Indikator, Historische-Korrelations-Verschiebung über Zeit (ApexCharts Line), Diversifikations-Check bei Multi-Pair-Positionen, Rollover-Zins-Rechner pro Position, Volatilitäts-Vergleich Paar-Ranking, Wirtschaftskalender-Impact-Simulator hohe/mittlere/niedrige Relevanz, Session-Overlap-Anzeige Tokyo/London/New York, Pip-Wert-Rechner nach Lot-Größe, Export Korrelations-Report, GSAP Matrix-Zell-Hover-Animationen - USE CASE: Forex-Trader vermeiden ungewollte Klumpenrisiken durch korrelierte Positionen, Carry-Trade-Interessierte identifizieren Zinsdifferenz-Chancen systematisch.",
        "overview": "erstelle eine Forex-Korrelations-Matrix & Carry-Trade-Finder",
        "category": "TRADING & QUANT-TERMINALS",
        "category_number": 2,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Forex-Trader vermeiden ungewollte Klumpenrisiken durch korrelierte Positionen, Carry-Trade-Interessierte identifizieren Zinsdifferenz-Chancen systematisch.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-120",
        "title": "entwickle eine Backtesting-Sandbox für Trading-Strategien No-Code",
        "prompt_number": 120,
        "prompt": "entwickle eine Backtesting-Sandbox für Trading-Strategien No-Code - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelbaukasten Einstieg/Ausstieg per Dropdown ohne Code MA-Crossover/RSI-Schwelle/Breakout, Backtesting-Ausführung auf hochgeladenen CSV-Kursdaten, Equity-Curve-Chart mit Drawdown-Unterlegung (ApexCharts), Kennzahlen-Dashboard Sharpe/Sortino/Max-Drawdown/Profit-Factor, Trade-für-Trade-Liste mit Ein-/Ausstiegs-Markierung im Chart, Parameter-Optimierungs-Grid Heatmap bester Kombinationen (D3.js), Walk-Forward-Analyse-Mock robuste vs überoptimierte Strategien, Vergleich mehrerer Strategie-Varianten Side-by-Side, Monte-Carlo-Robustheitstest Trade-Reihenfolge zufällig, Export Backtest-Report PDF, Strategie-Bibliothek speichern/laden, GSAP Equity-Curve-Zeichnungs-Animationen - USE CASE: Angehende Systematik-Trader testen Ideen ohne Programmierkenntnisse, Trading-Coaches demonstrieren live warum Overfitting bei Optimierung ein Risiko ist. ## Kategorie 3: FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "overview": "entwickle eine Backtesting-Sandbox für Trading-Strategien No-Code",
        "category": "TRADING & QUANT-TERMINALS",
        "category_number": 2,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Angehende Systematik-Trader testen Ideen ohne Programmierkenntnisse, Trading-Coaches demonstrieren live warum Overfitting bei Optimierung ein Risiko ist. ## Kategorie 3: FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-121",
        "title": "erstelle einen Investor-Pitchdeck-Generator interaktiv",
        "prompt_number": 121,
        "prompt": "erstelle einen Investor-Pitchdeck-Generator interaktiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Slide-Editor mit vordefinierten Pitch-Struktur-Templates Problem/Lösung/Markt/Traction/Team/Ask, Finanz-Projektions-Chart 3-5-Jahres-Forecast (ApexCharts), Cap-Table-Mini-Visualizer, TAM-SAM-SOM-Kreisdiagramm (D3.js), Traction-Metriken-Dashboard MRR/Nutzer/Wachstum, Wettbewerbs-Positionierungs-Matrix 2x2, Team-Slide-Builder mit Foto-Platzhaltern, Präsentations-Modus Vollbild mit Tastatur-Navigation, Notizen-Ansicht für Presenter, Export als druckbares PDF, Versionshistorie mehrerer Pitch-Varianten, GSAP Slide-Übergangs-Animationen - USE CASE: Gründer bauen ein konsistentes Pitchdeck ohne Design-Tool-Kenntnisse, Berater erstellen Investoren-Unterlagen für Kunden mit einheitlichem Corporate Design.",
        "overview": "erstelle einen Investor-Pitchdeck-Generator interaktiv",
        "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "category_number": 3,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Gründer bauen ein konsistentes Pitchdeck ohne Design-Tool-Kenntnisse, Berater erstellen Investoren-Unterlagen für Kunden mit einheitlichem Corporate Design.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-122",
        "title": "entwickle einen Genussschein-/Zertifikat-Ausgabe-Konfigurator",
        "prompt_number": 122,
        "prompt": "entwickle einen Genussschein-/Zertifikat-Ausgabe-Konfigurator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeichnungsformular Betrag/Laufzeit/Zinssatz-Variante, Renditesimulation über Laufzeit (ApexCharts Flächendiagramm), Risikohinweise-Sektion mit Pflicht-Checkbox vor Fortfahren, Zeichnungsvolumen-Fortschrittsbalken Kampagnen-Ziel, Zins-vs-Laufzeit-Vergleichsmatrix mehrerer Varianten, Steuerliche-Behandlung-Erklär-Panel, Rückzahlungsplan-Visualisierung (D3.js Timeline), Zeichner-Übersicht anonymisiert Verteilung nach Betragsgröße, Dokumenten-Download Prospekt/Bedingungen, Zeichnungsbestätigung-PDF-Generator, Sekundärmarkt-Hinweis-Panel, GSAP Fortschritts-Animationen - USE CASE: Emittenten präsentieren Zeichnungsangebote mit klarer Risikokommunikation, Interessenten simulieren Rendite-Szenarien vor Zeichnung.",
        "overview": "entwickle einen Genussschein-/Zertifikat-Ausgabe-Konfigurator",
        "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "category_number": 3,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Emittenten präsentieren Zeichnungsangebote mit klarer Risikokommunikation, Interessenten simulieren Rendite-Szenarien vor Zeichnung.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-123",
        "title": "programmiere einen Case-Study-Showcase-Builder",
        "prompt_number": 123,
        "prompt": "programmiere einen Case-Study-Showcase-Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorher-Nachher-Vergleichs-Slider visuell, ROI-Kennzahlen-Karten mit Animations-Counter, Kunden-Testimonial-Karussell mit Sternebewertung, Zeitleiste Projektverlauf Meilensteine (D3.js), Ergebnis-Chart-Baukasten Umsatz/Effizienz/Zufriedenheit (ApexCharts), Branchen-Filter für Case-Study-Bibliothek, PDF-Export einzelner Case Studies, Ähnliche-Case-Studies-Empfehlung, Video-Testimonial-Platzhalter-Player, Vergleichstabelle mehrere Case Studies nebeneinander, Lead-Erfassungs-Formular am Ende, GSAP Zahlen-Hochzähl-Animationen - USE CASE: Agenturen präsentieren Kundenerfolge überzeugend im Sales-Prozess, Marketing-Teams pflegen eine durchsuchbare Case-Study-Bibliothek zentral.",
        "overview": "programmiere einen Case-Study-Showcase-Builder",
        "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "category_number": 3,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Agenturen präsentieren Kundenerfolge überzeugend im Sales-Prozess, Marketing-Teams pflegen eine durchsuchbare Case-Study-Bibliothek zentral.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-124",
        "title": "baue eine Business-Plan-Workbench mit Finanzmodell",
        "prompt_number": 124,
        "prompt": "baue eine Business-Plan-Workbench mit Finanzmodell - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierter Business-Plan-Editor nach Kapiteln, 3-Jahres-Finanzmodell Umsatz/Kosten/Gewinn editierbar (ApexCharts Combo-Chart), Break-Even-Rechner mit Visualisierung, Liquiditätsplan monatlich erste 12 Monate, Personalkosten-Planer mit Einstellungs-Zeitplan, Szenario-Vergleich Best/Base/Worst-Case (D3.js Fächer), SWOT-Analyse-Matrix interaktiv, Finanzierungsbedarf-Rechner mit Runway-Anzeige, Meilenstein-Roadmap-Timeline, Export vollständiger Businessplan als PDF, Kennzahlen-Ampel-Dashboard Gesundheitscheck, GSAP Chart-Aufbau-Animationen - USE CASE: Gründer entwickeln einen bankfähigen Businessplan mit belastbarem Finanzmodell, Berater begleiten Existenzgründer strukturiert durch die Planungsphase.",
        "overview": "baue eine Business-Plan-Workbench mit Finanzmodell",
        "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "category_number": 3,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Gründer entwickeln einen bankfähigen Businessplan mit belastbarem Finanzmodell, Berater begleiten Existenzgründer strukturiert durch die Planungsphase.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-125",
        "title": "erstelle einen Whitepaper-Compliance-Dokument-Viewer",
        "prompt_number": 125,
        "prompt": "erstelle einen Whitepaper-Compliance-Dokument-Viewer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktives Inhaltsverzeichnis mit Sprungmarken, Lesefortschritt-Anzeige Scrollbalken-Prozent, Glossar-Popover für Fachbegriffe bei Hover, Abschnitts-Zusammenfassungen einklappbar, Versionsvergleich zwei Dokumentversionen Diff-Ansicht, Zitier-Funktion Textstelle kopieren mit Quellenangabe, Suchfunktion Volltext mit Ergebnis-Hervorhebung, Lesezeit-Schätzung pro Abschnitt, Download-Optionen PDF/Markdown, Bestätigungs-Log gelesen-und-verstanden mit Zeitstempel, Mehrsprachigkeits-Umschalter, GSAP Abschnitts-Einblend-Animationen - USE CASE: Compliance-Teams stellen sicher dass Mitarbeiter Richtliniendokumente nachweislich gelesen haben, Rechtsabteilungen veröffentlichen komplexe Whitepaper zugänglich strukturiert.",
        "overview": "erstelle einen Whitepaper-Compliance-Dokument-Viewer",
        "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "category_number": 3,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Compliance-Teams stellen sicher dass Mitarbeiter Richtliniendokumente nachweislich gelesen haben, Rechtsabteilungen veröffentlichen komplexe Whitepaper zugänglich strukturiert.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-126",
        "title": "entwickle einen Kapitalstruktur & Cap-Table-Visualizer für Startups",
        "prompt_number": 126,
        "prompt": "entwickle einen Kapitalstruktur & Cap-Table-Visualizer für Startups - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Cap-Table-Editor Gründer/Investoren/ESOP-Anteile, Verwässerungs-Simulator bei neuer Finanzierungsrunde (ApexCharts Stacked Bar über Runden), Liquidation-Preference-Rechner bei Exit-Szenarien, Anteilsentwicklung-Timeline über Runden (D3.js Sankey), ESOP-Pool-Planer Größe und Vesting-Schedule, Exit-Szenario-Rechner Verteilung des Erlöses nach Stakeholder, Pro-Rata-Rechte-Tracker Investoren, Down-Round-Impact-Simulator, Option-Vesting-Cliff-Visualizer pro Mitarbeiter, Vergleich Pre-Money vs Post-Money-Bewertung, Export Cap-Table als Excel-kompatibles CSV, GSAP Anteils-Verschiebungs-Animationen - USE CASE: Gründer verstehen Verwässerungseffekte vor Finanzierungsrunden-Verhandlungen, Investoren prüfen Cap-Table-Historie und Liquidationspräferenzen vor Investment-Entscheidung.",
        "overview": "entwickle einen Kapitalstruktur & Cap-Table-Visualizer für Startups",
        "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "category_number": 3,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Gründer verstehen Verwässerungseffekte vor Finanzierungsrunden-Verhandlungen, Investoren prüfen Cap-Table-Historie und Liquidationspräferenzen vor Investment-Entscheidung.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-127",
        "title": "programmiere ein Quartals-Strategiebericht-Dashboard mit OKR-Tracking",
        "prompt_number": 127,
        "prompt": "programmiere ein Quartals-Strategiebericht-Dashboard mit OKR-Tracking - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: OKR-Baum Objectives mit verknüpften Key Results (D3.js Hierarchie), Fortschritts-Ampel pro Key Result rot/gelb/grün, Quartalsvergleich-Chart Zielerreichung über Zeit (ApexCharts), Team-Beitrags-Übersicht wer treibt welches Ergebnis, Check-in-Historie wöchentliche Updates pro OKR, Confidence-Score-Trend pro Objective, Strategiekarte-Visualisierung Verknüpfung Vision zu Zielen, Risiko-Flag-System bei Rückstand, Kommentar-Thread pro Key Result, Export Quartalsbericht als Präsentation, Retrospektive-Sektion gelernte Lektionen, GSAP Fortschrittsbalken-Animationen - USE CASE: Führungsteams verfolgen strategische Ziele quartalsweise transparent statt in Excel-Listen, Mitarbeiter sehen wie ihr Beitrag auf übergeordnete Unternehmensziele einzahlt.",
        "overview": "programmiere ein Quartals-Strategiebericht-Dashboard mit OKR-Tracking",
        "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "category_number": 3,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Führungsteams verfolgen strategische Ziele quartalsweise transparent statt in Excel-Listen, Mitarbeiter sehen wie ihr Beitrag auf übergeordnete Unternehmensziele einzahlt.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-128",
        "title": "baue einen Fund-Performance-Report-Generator",
        "prompt_number": 128,
        "prompt": "baue einen Fund-Performance-Report-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Renditevergleich Fonds vs Benchmark über Zeitraum (ApexCharts Line-Overlay), Risikokennzahlen-Tabelle Volatilität/Sharpe/Max-Drawdown, Sektor- und Länderallokation (D3.js Treemap), Attributions-Analyse Outperformance-Quellen, Top-10-Holdings-Tabelle mit Gewichtung, Peer-Group-Vergleich Ranking-Perzentil, Ausschüttungshistorie-Chart, Kostenkennzahlen TER/Transaktionskosten transparent, Zeitraum-Selektor 1J/3J/5J/Seit Auflage, Automatischer Kommentar-Textbaustein basierend auf Kennzahlen, PDF-Export Factsheet-Format, GSAP Kennzahlen-Counter-Animationen - USE CASE: Fondsmanager erstellen regelmäßige Performance-Reports für Anleger konsistent, Vertriebsteams nutzen Factsheets als Verkaufsunterlage mit aktuellen Kennzahlen.",
        "overview": "baue einen Fund-Performance-Report-Generator",
        "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "category_number": 3,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Fondsmanager erstellen regelmäßige Performance-Reports für Anleger konsistent, Vertriebsteams nutzen Factsheets als Verkaufsunterlage mit aktuellen Kennzahlen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-129",
        "title": "erstelle eine Due-Diligence-Checkliste & Datenraum-Simulator",
        "prompt_number": 129,
        "prompt": "erstelle eine Due-Diligence-Checkliste & Datenraum-Simulator - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorisierte DD-Checkliste Finanzen/Recht/Personal/IT/Markt mit Fortschrittsbalken, Dokumenten-Ablagestruktur-Mockup Ordnerbaum (D3.js), Red-Flag-Markierungs-System pro Punkt mit Kommentarfeld, Zugriffsprotokoll-Simulation wer hat was wann eingesehen, Fragen-Antworten-Log Q&A-Prozess strukturiert, Fortschritts-Dashboard Gesamtstatus über alle Kategorien (ApexCharts Radial), Risiko-Bewertungs-Matrix Impact vs Wahrscheinlichkeit, Verantwortlichkeiten-Zuweisung pro Checklistenpunkt, Termin-Tracker Deadline pro Workstream, Export Due-Diligence-Report Zusammenfassung, Vertraulichkeitsstufen-Kennzeichnung Dokumente, GSAP Checklisten-Abhak-Animationen - USE CASE: M&A-Teams strukturieren Due-Diligence-Prozesse nachvollziehbar für alle Beteiligten, Käufer und Verkäufer behalten Übersicht über offene Punkte im Transaktionsprozess.",
        "overview": "erstelle eine Due-Diligence-Checkliste & Datenraum-Simulator",
        "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "category_number": 3,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "M&A-Teams strukturieren Due-Diligence-Prozesse nachvollziehbar für alle Beteiligten, Käufer und Verkäufer behalten Übersicht über offene Punkte im Transaktionsprozess.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-130",
        "title": "entwickle einen Marketing-GTM-Playbook-Builder interaktiv",
        "prompt_number": 130,
        "prompt": "entwickle einen Marketing-GTM-Playbook-Builder interaktiv - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zielgruppen-Persona-Builder mit Steckbrief-Karten, Kanal-Strategie-Matrix Reichweite vs Kosten pro Kanal (D3.js Scatter), Content-Kalender-Planer Drag&Drop nach Wochen, Funnel-Visualisierung Awareness bis Conversion mit Konversionsraten (ApexCharts Funnel), Budget-Allokations-Rechner nach Kanal, Kampagnen-Timeline mit Meilensteinen, Messaging-Framework-Editor Value Proposition pro Segment, Wettbewerbs-Vergleichstabelle Positionierung, KPI-Zielvorgaben-Dashboard pro Kanal, Launch-Checkliste mit Verantwortlichkeiten, Export Playbook als Team-Handbuch PDF, GSAP Funnel-Fluss-Animationen - USE CASE: Marketing-Teams entwickeln einen strukturierten Go-To-Market-Plan für neue Produkte, Führungskräfte erhalten eine klare Übersicht über Kanal-Budget-Allokation vor Freigabe. ## Kategorie 4: DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "overview": "entwickle einen Marketing-GTM-Playbook-Builder interaktiv",
        "category": "FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE",
        "category_number": 3,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Marketing-Teams entwickeln einen strukturierten Go-To-Market-Plan für neue Produkte, Führungskräfte erhalten eine klare Übersicht über Kanal-Budget-Allokation vor Freigabe. ## Kategorie 4: DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-131",
        "title": "erstelle einen JWT-Decoder & Token-Debugger Pro",
        "prompt_number": 131,
        "prompt": "erstelle einen JWT-Decoder & Token-Debugger Pro - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Live-Decodierung Header/Payload/Signature farbcodiert, Signatur-Prüfung mit eingegebenem Secret HS256/RS256, Ablaufzeit-Countdown mit Warnfarbe bei baldigem Expiry, Claims-Editor zum Testen modifizierter Payloads, Token-Historie letzte 20 dekodierte Tokens, Algorithmus-Vergleichstabelle Sicherheitsempfehlungen, Base64URL-Encoder/Decoder-Zusatztool, Token-Größen-Analyse Header/Payload/Signature-Anteile (ApexCharts Donut), Bekannte-Schwachstellen-Warnhinweise alg-none-Angriff etc., Copy-to-Clipboard pro Sektion, Dunkles Entwickler-Theme, GSAP Decodier-Animationen - USE CASE: Backend-Entwickler debuggen Auth-Probleme ohne Token in unsichere Online-Tools einzufügen, Sicherheitsteams prüfen Token-Konfiguration auf bekannte Schwachstellen lokal.",
        "overview": "erstelle einen JWT-Decoder & Token-Debugger Pro",
        "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "category_number": 4,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Backend-Entwickler debuggen Auth-Probleme ohne Token in unsichere Online-Tools einzufügen, Sicherheitsteams prüfen Token-Konfiguration auf bekannte Schwachstellen lokal.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-132",
        "title": "entwickle eine API-Request-Sandbox REST-Client",
        "prompt_number": 132,
        "prompt": "entwickle eine API-Request-Sandbox REST-Client - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Request-Builder Methode/URL/Header/Body mit Syntax-Highlighting, Umgebungsvariablen-Verwaltung Dev/Staging/Prod, Response-Viewer formatiert JSON mit Kollabier-Funktion, Response-Zeit-Historie-Chart pro Endpoint (ApexCharts Sparkline), Request-Collections-Ordnerstruktur, Diff-Ansicht zwischen zwei Responses, Header-Bibliothek häufige Presets Auth/Content-Type, cURL-Export generiert Copy-Paste-Befehl, Status-Code-Verteilungs-Dashboard über Session (D3.js), Mock-Response-Modus für Offline-Entwicklung, Request-Verlauf durchsuchbar, GSAP Response-Einblend-Animationen - USE CASE: Entwickler testen APIs während der Entwicklung ohne externe Tools zu installieren, QA-Teams dokumentieren Request-Collections für Regressionstests.",
        "overview": "entwickle eine API-Request-Sandbox REST-Client",
        "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "category_number": 4,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Entwickler testen APIs während der Entwicklung ohne externe Tools zu installieren, QA-Teams dokumentieren Request-Collections für Regressionstests.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-133",
        "title": "programmiere einen interaktiven Coding-Kurs-Player mit Live-Editor",
        "prompt_number": 133,
        "prompt": "programmiere einen interaktiven Coding-Kurs-Player mit Live-Editor - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Lektion-Sidebar mit Fortschritts-Checkmarks, Live-Code-Editor mit sofortiger Ausführung im Browser, Test-Runner zeigt Pass/Fail pro Aufgabe farbcodiert, Hint-System gestaffelte Tipps bei Bedarf, Lösungs-Vergleich nach eigenem Versuch, XP-/Level-System mit Fortschrittsbalken (ApexCharts Radial), Lernpfad-Baum-Visualisierung Abhängigkeiten zwischen Lektionen (D3.js), Zeit-pro-Lektion-Tracking, Zertifikat-Generator bei Kursabschluss, Code-Playground frei zum Experimentieren, Diskussions-Notizen pro Lektion, GSAP Fortschritts-Level-Up-Animationen - USE CASE: Lernplattformen bieten praxisnahes Coding-Training mit sofortigem Feedback, Selbstlerner verfolgen ihren Fortschritt strukturiert durch einen Lernpfad.",
        "overview": "programmiere einen interaktiven Coding-Kurs-Player mit Live-Editor",
        "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "category_number": 4,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Lernplattformen bieten praxisnahes Coding-Training mit sofortigem Feedback, Selbstlerner verfolgen ihren Fortschritt strukturiert durch einen Lernpfad.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-134",
        "title": "baue einen Prüfungssimulator mit adaptivem Schwierigkeitsgrad",
        "prompt_number": 134,
        "prompt": "baue einen Prüfungssimulator mit adaptivem Schwierigkeitsgrad - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fragenkatalog nach Fach/Thema kategorisiert, Adaptive Schwierigkeits-Anpassung basierend auf Antwortverlauf, Timer pro Frage und Gesamtprüfung, Sofort-Feedback mit Erklärung bei falscher Antwort, Schwachstellen-Analyse nach Prüfung Themen-Heatmap (D3.js), Fortschritts-Chart über mehrere Prüfungsversuche (ApexCharts Line), Fragenpool-Statistik Schwierigkeitsverteilung, Simulierte-Prüfungsbedingungen-Modus ohne Pause, Falsch-beantwortete-Fragen-Wiederholungsmodus, Zertifikats-Vorbereitungs-Fortschrittsanzeige, Multiple-Choice und Freitext-Fragetypen, GSAP Antwort-Feedback-Animationen - USE CASE: Prüfungskandidaten bereiten sich realistisch auf IHK-/Sachkunde-Prüfungen vor, Bildungsanbieter identifizieren individuelle Wissenslücken zur gezielten Nachschulung.",
        "overview": "baue einen Prüfungssimulator mit adaptivem Schwierigkeitsgrad",
        "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "category_number": 4,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Prüfungskandidaten bereiten sich realistisch auf IHK-/Sachkunde-Prüfungen vor, Bildungsanbieter identifizieren individuelle Wissenslücken zur gezielten Nachschulung.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-135",
        "title": "erstelle ein Formel-Wissens-Nachschlagewerk mit LaTeX-Rendering",
        "prompt_number": 135,
        "prompt": "erstelle ein Formel-Wissens-Nachschlagewerk mit LaTeX-Rendering - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Formel-Datenbank kategorisiert Mathematik/Physik/Finanzen, LaTeX-Rendering für saubere Formel-Darstellung, Interaktiver Formel-Rechner Variablen eingeben Ergebnis live, Herleitungs-Schritte einklappbar pro Formel, Verwandte-Formeln-Verlinkung Graph-Ansicht (D3.js), Volltextsuche über Formelnamen und Anwendungsgebiete, Lesezeichen-Sammlung häufig genutzte Formeln, Beispielaufgaben pro Formel mit Lösungsweg, Einheiten-Umrechner-Zusatztool, Druckansicht Formelsammlung als PDF, Dunkles Lese-Theme augenschonend, GSAP Formel-Einblend-Animationen - USE CASE: Studierende nutzen die App als digitale Formelsammlung in Prüfungsvorbereitung, Praktiker schlagen Finanzformeln mit sofortiger Berechnungsmöglichkeit nach.",
        "overview": "erstelle ein Formel-Wissens-Nachschlagewerk mit LaTeX-Rendering",
        "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "category_number": 4,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Studierende nutzen die App als digitale Formelsammlung in Prüfungsvorbereitung, Praktiker schlagen Finanzformeln mit sofortiger Berechnungsmöglichkeit nach.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-136",
        "title": "entwickle einen interaktiven Vibe-Coding-Guide Schritt-für-Schritt",
        "prompt_number": 136,
        "prompt": "entwickle einen interaktiven Vibe-Coding-Guide Schritt-für-Schritt - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Workflow-Stepper Idee-zu-Spezifikation-zu-Code-zu-Prüfung-zu-Handoff, Prompt-Vorlagen-Bibliothek pro Schritt mit Copy-Button, Vorher-Nachher-Beispiele guter vs schlechter Prompts, Checklisten-Sidebar pro Phase, Best-Practice-Tipps als aufklappbare Karten, Fortschritts-Tracker eigenes Projekt durch die Phasen (ApexCharts Stepper), Häufige-Fehler-Galerie mit Erklärung, Interaktives Glossar KI-Coding-Begriffe, Zeitersparnis-Rechner geschätzt vs traditionelle Entwicklung, Community-Tipps-Sektion Platzhalter-Einträge, Export eigener Workflow-Notizen, GSAP Stepper-Übergangs-Animationen - USE CASE: Entwickler-Teams etablieren einen konsistenten KI-unterstützten Entwicklungs-Workflow, Onboarding neuer Teammitglieder in KI-gestützte Coding-Praktiken wird strukturiert.",
        "overview": "entwickle einen interaktiven Vibe-Coding-Guide Schritt-für-Schritt",
        "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "category_number": 4,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Entwickler-Teams etablieren einen konsistenten KI-unterstützten Entwicklungs-Workflow, Onboarding neuer Teammitglieder in KI-gestützte Coding-Praktiken wird strukturiert.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-137",
        "title": "programmiere einen Regex-Tester & Cheat-Sheet-Builder",
        "prompt_number": 137,
        "prompt": "programmiere einen Regex-Tester & Cheat-Sheet-Builder - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Live-Regex-Tester mit Highlight der Treffer im Testtext, Gruppen-Erfassungs-Anzeige nummeriert und benannt, Regex-Erklärung-Panel zerlegt Pattern in verständliche Teile, Häufige-Patterns-Bibliothek E-Mail/URL/Telefonnummer copy-paste, Flags-Umschalter global/case-insensitive/multiline live, Ersetzungs-Vorschau mit Capture-Group-Referenzen, Performance-Warnung bei potenziell langsamem Pattern catastrophic backtracking, Eigene-Patterns-Sammlung speichern mit Namen, Sprachvergleich Syntax-Unterschiede JS/Python/PHP, Test-Fälle-Batch mehrere Testtexte gleichzeitig, Export Cheat-Sheet als PDF, GSAP Treffer-Highlight-Animationen - USE CASE: Entwickler entwickeln und testen komplexe Regex-Patterns visuell statt durch Trial-and-Error im Code, Teams bauen eine gemeinsame Pattern-Bibliothek für wiederkehrende Validierungen.",
        "overview": "programmiere einen Regex-Tester & Cheat-Sheet-Builder",
        "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "category_number": 4,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Entwickler entwickeln und testen komplexe Regex-Patterns visuell statt durch Trial-and-Error im Code, Teams bauen eine gemeinsame Pattern-Bibliothek für wiederkehrende Validierungen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-138",
        "title": "baue einen Embedding-Vektorsuche-Playground",
        "prompt_number": 138,
        "prompt": "baue einen Embedding-Vektorsuche-Playground - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Text-Eingabe-Liste zum Vergleichen mehrerer Sätze, Cosine-Similarity-Matrix zwischen allen Eingaben (D3.js Heatmap), 2D-Projektions-Visualisierung Embeddings-Cluster (D3.js Scatter mit Mock-Dimensionsreduktion), Nächste-Nachbarn-Suche Top-K-Ergebnisse mit Score, Chunking-Strategie-Vergleich Satz vs Absatz vs Fixed-Size, Ähnlichkeits-Schwellenwert-Slider Live-Filterung, Vektordimensions-Erklär-Panel, Batch-Import Textliste aus Datei, Cluster-Erkennung automatisch gruppiert ähnliche Texte, Export Similarity-Matrix als CSV, Farbcodierte Ähnlichkeits-Legende, GSAP Cluster-Bildungs-Animationen - USE CASE: Entwickler verstehen Embedding-basierte Suche visuell bevor sie RAG-Systeme bauen, Data-Scientists testen Chunking-Strategien vor Produktiv-Einsatz.",
        "overview": "baue einen Embedding-Vektorsuche-Playground",
        "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "category_number": 4,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Entwickler verstehen Embedding-basierte Suche visuell bevor sie RAG-Systeme bauen, Data-Scientists testen Chunking-Strategien vor Produktiv-Einsatz.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-139",
        "title": "erstelle einen Git-Workflow-Simulator Branch-Visualizer",
        "prompt_number": 139,
        "prompt": "erstelle einen Git-Workflow-Simulator Branch-Visualizer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktiver Branch-Graph-Visualizer Commits als Knoten (D3.js), Simulierte Git-Befehle Branch/Merge/Rebase mit visueller Auswirkung, Merge-Konflikt-Trainer künstliche Konflikte lösen im Editor, Commit-Historie-Zeitleiste mit Nachrichten, Branching-Strategie-Vorlagen GitFlow/Trunk-Based als Diagramm, Befehls-Cheat-Sheet kontextsensitiv zur aktuellen Situation, Undo-Redo für Simulationsschritte, Szenario-Bibliothek häufige Git-Probleme zum Üben, Fortschritts-Tracker abgeschlossene Übungen, Erklär-Tooltips bei jedem simulierten Befehl, Export Diagramm als Bild, GSAP Branch-Erstellungs-Animationen - USE CASE: Einsteiger lernen Git-Konzepte gefahrlos ohne echtes Repository zu riskieren, Teams üben Merge-Konflikt-Auflösung in einer sicheren Sandbox vor echten Projekten.",
        "overview": "erstelle einen Git-Workflow-Simulator Branch-Visualizer",
        "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "category_number": 4,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Einsteiger lernen Git-Konzepte gefahrlos ohne echtes Repository zu riskieren, Teams üben Merge-Konflikt-Auflösung in einer sicheren Sandbox vor echten Projekten.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-140",
        "title": "entwickle einen Docs-Doctor Dokumentations-Qualitäts-Scanner",
        "prompt_number": 140,
        "prompt": "entwickle einen Docs-Doctor Dokumentations-Qualitäts-Scanner - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Markdown-Upload-Analyse Lesbarkeits-Score Flesch-Kincaid-artig, Struktur-Check fehlende Überschriften-Ebenen oder Abschnitte, Lücken-Finder erwähnte aber nicht erklärte Begriffe, Link-Validitäts-Check interne Anker vorhanden, Konsistenz-Prüfung Terminologie einheitlich verwendet, Vollständigkeits-Checkliste Standard-Abschnitte vorhanden Installation/Nutzung/API, Wortwiederholungs-Analyse Stil-Verbesserung, Qualitäts-Score-Verlauf bei mehreren Scans über Zeit (ApexCharts Line), Vergleich mehrerer Dokumente Ranking (D3.js Balken), Verbesserungsvorschläge priorisiert nach Impact, Export Analyse-Report PDF, GSAP Score-Reveal-Animationen - USE CASE: Entwickler-Teams verbessern README- und API-Dokumentation systematisch vor Release, Technical Writer identifizieren Qualitätslücken über viele Dokumente hinweg schnell. ## Kategorie 5: NEWS, DATENFEEDS & OSINT",
        "overview": "entwickle einen Docs-Doctor Dokumentations-Qualitäts-Scanner",
        "category": "DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES",
        "category_number": 4,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Entwickler-Teams verbessern README- und API-Dokumentation systematisch vor Release, Technical Writer identifizieren Qualitätslücken über viele Dokumente hinweg schnell. ## Kategorie 5: NEWS, DATENFEEDS & OSINT",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-141",
        "title": "erstelle einen Multi-Source-News-Aggregator mit Sentiment-Ampel",
        "prompt_number": 141,
        "prompt": "erstelle einen Multi-Source-News-Aggregator mit Sentiment-Ampel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: News-Feed-Grid nach Quelle/Kategorie filterbar, Sentiment-Ampel pro Artikel positiv/neutral/negativ Mock-Klassifikation, Themen-Cluster-Ansicht verwandte Artikel gruppiert, Sentiment-Verlauf über Zeit pro Thema (ApexCharts Line), Lesezeit-Schätzung pro Artikel, Wichtigkeits-Score-Ranking Top-Meldungen hervorgehoben, Eigene-Themen-Watchlist mit Push-ähnlicher Hervorhebung, Quellen-Vertrauenswürdigkeits-Kennzeichnung, Artikel-Speicher-Funktion Später-Lesen-Liste, Volltext-Suche über gespeicherte Artikel, Export Tages-Briefing als PDF-Zusammenfassung, GSAP Feed-Einblend-Animationen - USE CASE: Analysten überblicken relevante Nachrichten zu Beobachtungsthemen ohne viele Seiten zu besuchen, Kommunikationsteams verfolgen Sentiment-Entwicklung zu Unternehmensthemen.",
        "overview": "erstelle einen Multi-Source-News-Aggregator mit Sentiment-Ampel",
        "category": "NEWS, DATENFEEDS & OSINT",
        "category_number": 5,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Analysten überblicken relevante Nachrichten zu Beobachtungsthemen ohne viele Seiten zu besuchen, Kommunikationsteams verfolgen Sentiment-Entwicklung zu Unternehmensthemen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-142",
        "title": "entwickle eine OSINT-Recherche-Matrix Verknüpfungs-Graph",
        "prompt_number": 142,
        "prompt": "entwickle eine OSINT-Recherche-Matrix Verknüpfungs-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entitäten-Erfassung Personen/Firmen/Orte als Knoten anlegen, Beziehungs-Graph zwischen Entitäten (D3.js Force-Directed), Zeitleisten-Ansicht bekannter Ereignisse pro Entität, Quellen-Dokumentation pro Verknüpfung mit Link, Notiz-Anhänge pro Knoten, Suchfunktion über alle erfassten Entitäten, Export Graph als Bild für Berichte, Verdachtsgrad-Kennzeichnung pro Verbindung bestätigt/vermutet, Cluster-Erkennung eng verbundener Gruppen, Zeitstempel-Historie wann Info hinzugefügt wurde, Vertraulichkeitsstufen-Markierung, GSAP Graph-Aufbau-Animationen - USE CASE: Investigative Recherche-Teams visualisieren komplexe Beziehungsnetzwerke aus öffentlich verfügbaren Quellen, Compliance-Abteilungen dokumentieren Zusammenhänge bei Sanktionsprüfungen nachvollziehbar.",
        "overview": "entwickle eine OSINT-Recherche-Matrix Verknüpfungs-Graph",
        "category": "NEWS, DATENFEEDS & OSINT",
        "category_number": 5,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Investigative Recherche-Teams visualisieren komplexe Beziehungsnetzwerke aus öffentlich verfügbaren Quellen, Compliance-Abteilungen dokumentieren Zusammenhänge bei Sanktionsprüfungen nachvollziehbar.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-143",
        "title": "programmiere einen Wetter-zu-Handelssignal-Korrelator",
        "prompt_number": 143,
        "prompt": "programmiere einen Wetter-zu-Handelssignal-Korrelator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wetterdaten-Eingabe Temperatur/Niederschlag pro Region, Rohstoffpreis-Overlay Agrarrohstoffe/Energie (ApexCharts Dual-Axis), Historische-Korrelations-Berechnung Wetter vs Preis, Saisonale-Muster-Erkennung Dürre/Frost-Perioden markiert, Regions-Karte betroffene Anbaugebiete (D3.js Choropleth Mock), Wetterextrem-Alert-Log historische Ereignisse mit Preisauswirkung, Vergleichs-Tool mehrere Rohstoffe gleichzeitig, Korrelations-Stärke-Anzeige mit Konfidenz, Prognose-Szenario bei angenommenem Wetterereignis, Export Analyse-Chart, Glossar Wetter-Fachbegriffe für Trader, GSAP Karten-Highlight-Animationen - USE CASE: Rohstoffhändler verstehen Wetterrisiken für Agrar- und Energiepreise strukturiert, Analysten erstellen Research-Notes mit historischer Evidenz zu Wetter-Preis-Zusammenhängen.",
        "overview": "programmiere einen Wetter-zu-Handelssignal-Korrelator",
        "category": "NEWS, DATENFEEDS & OSINT",
        "category_number": 5,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Rohstoffhändler verstehen Wetterrisiken für Agrar- und Energiepreise strukturiert, Analysten erstellen Research-Notes mit historischer Evidenz zu Wetter-Preis-Zusammenhängen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-144",
        "title": "baue ein Live-Wetter-Radar-Dashboard mit Warnstufen",
        "prompt_number": 144,
        "prompt": "baue ein Live-Wetter-Radar-Dashboard mit Warnstufen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regionale-Wetterkarte mit Radar-Overlay-Mockup, Warnstufen-Ampel-System nach Schweregrad, 7-Tage-Vorhersage-Karten mit Icons, Historische-Wetterdaten-Chart Temperaturverlauf (ApexCharts), Extremwetter-Wahrscheinlichkeits-Anzeige, Standort-Favoriten-Verwaltung mehrere Orte, Push-Warnung-Simulation bei Unwetter-Ankündigung, Aktivitäts-Empfehlung basierend auf Wetter Outdoor-geeignet Ja/Nein, Luftqualitäts-Index-Anzeige zusätzlich, Sonnenauf-/untergangszeiten-Rechner, Export Wetterbericht als Bild zum Teilen, GSAP Warnstufen-Puls-Animationen - USE CASE: Nutzer planen Aktivitäten anhand verlässlicher Kurz- und Mittelfrist-Prognosen, Einsatzplaner in Außendienstberufen prüfen Warnstufen vor Terminplanung.",
        "overview": "baue ein Live-Wetter-Radar-Dashboard mit Warnstufen",
        "category": "NEWS, DATENFEEDS & OSINT",
        "category_number": 5,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Nutzer planen Aktivitäten anhand verlässlicher Kurz- und Mittelfrist-Prognosen, Einsatzplaner in Außendienstberufen prüfen Warnstufen vor Terminplanung.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-145",
        "title": "erstelle einen Gesetzes-Regulatorik-Tracker mit Diff-Ansicht",
        "prompt_number": 145,
        "prompt": "erstelle einen Gesetzes-Regulatorik-Tracker mit Diff-Ansicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gesetzesänderungs-Feed nach Rechtsgebiet kategorisiert, Diff-Ansicht alte vs neue Gesetzesfassung farbcodiert, Relevanz-Filter nach Branche/Abteilung, Zeitleiste anstehender Inkrafttretungs-Termine (D3.js), Auswirkungs-Einschätzung Ampel-System pro Änderung, Kommentarfunktion interne Einschätzung pro Thema, Verantwortlichkeits-Zuweisung wer prüft welche Änderung, Volltextsuche über erfasste Regularien, Erinnerungs-Kalender vor Inkrafttreten, Compliance-Status-Dashboard umgesetzt/in Bearbeitung/offen (ApexCharts), Export Regulatorik-Report für Management, GSAP Diff-Highlight-Animationen - USE CASE: Compliance-Teams verfolgen relevante Gesetzesänderungen systematisch statt Newsletter zu durchforsten, Rechtsabteilungen dokumentieren Umsetzungsstatus für Audits nachvollziehbar.",
        "overview": "erstelle einen Gesetzes-Regulatorik-Tracker mit Diff-Ansicht",
        "category": "NEWS, DATENFEEDS & OSINT",
        "category_number": 5,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Compliance-Teams verfolgen relevante Gesetzesänderungen systematisch statt Newsletter zu durchforsten, Rechtsabteilungen dokumentieren Umsetzungsstatus für Audits nachvollziehbar.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-146",
        "title": "entwickle einen Feiertags & Handelskalender-Planer International",
        "prompt_number": 146,
        "prompt": "entwickle einen Feiertags & Handelskalender-Planer International - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mehrländer-Feiertagskalender mit Börsenöffnungszeiten, Handelsfreie-Tage-Übersicht nach Börse DAX/Dow/Nikkei, Überschneidungs-Finder Feiertage mehrerer Länder, Liquiditäts-Warnung an Tagen mit reduziertem Handel, Zeitzonen-Umrechner für internationale Meetings, Export Kalender als ICS-Datei, Jahresübersicht-Heatmap Handelstage vs Feiertage (D3.js Kalender), Individuelle-Ereignisse hinzufügen eigene Termine, Erinnerungs-Funktion vor wichtigen Terminen, Vergleich Handelstage-Anzahl pro Börse und Jahr (ApexCharts Balken), Brückentag-Planer-Hinweis, GSAP Kalender-Monatswechsel-Animationen - USE CASE: Internationale Trading-Teams planen Handelsaktivität um globale Feiertage herum, Reisebüros und Vertriebsteams koordinieren Termine über Zeitzonen und Feiertage hinweg.",
        "overview": "entwickle einen Feiertags & Handelskalender-Planer International",
        "category": "NEWS, DATENFEEDS & OSINT",
        "category_number": 5,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Internationale Trading-Teams planen Handelsaktivität um globale Feiertage herum, Reisebüros und Vertriebsteams koordinieren Termine über Zeitzonen und Feiertage hinweg.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-147",
        "title": "programmiere ein Space-Weather & NASA-Datenfeed-Dashboard",
        "prompt_number": 147,
        "prompt": "programmiere ein Space-Weather & NASA-Datenfeed-Dashboard - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sonnenaktivitäts-Anzeige Sonnenflecken-Index Mock-Daten, Geomagnetischer-Sturm-Warnstufen-Ampel, ISS-Position-Tracker-Mockup mit Umlaufbahn-Karte (D3.js), Erdnahe-Objekte-Liste NEO mit Größe/Distanz, Weltraumwetter-Auswirkungs-Erklärung GPS/Funk/Stromnetz, Historische-Sonnensturm-Ereignisse-Zeitleiste, Aurora-Sichtbarkeits-Wahrscheinlichkeits-Karte nach Breitengrad, Mond-Phasen-Kalender, Satelliten-Anzahl-Statistik nach Umlaufbahn-Typ (ApexCharts Donut), Bildungs-Glossar Weltraumwetter-Begriffe, Export Tagesreport, GSAP Orbit-Animationen - USE CASE: Weltraum-Enthusiasten verfolgen aktuelle Sonnenaktivität und Aurora-Chancen verständlich aufbereitet, Bildungseinrichtungen nutzen das Dashboard als anschauliches Lehrmittel für Astronomie.",
        "overview": "programmiere ein Space-Weather & NASA-Datenfeed-Dashboard",
        "category": "NEWS, DATENFEEDS & OSINT",
        "category_number": 5,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Weltraum-Enthusiasten verfolgen aktuelle Sonnenaktivität und Aurora-Chancen verständlich aufbereitet, Bildungseinrichtungen nutzen das Dashboard als anschauliches Lehrmittel für Astronomie.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-148",
        "title": "baue einen Finanznachrichten-Analyzer mit Kursreaktions-Overlay",
        "prompt_number": 148,
        "prompt": "baue einen Finanznachrichten-Analyzer mit Kursreaktions-Overlay - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Nachrichten-Feed mit Zeitstempel gekoppelt an Kurschart, Kursreaktion-Overlay zeigt Bewegung nach Meldung (ApexCharts Annotations), Kategorisierung Gewinnwarnung/Übernahme/Regulatorik/Makro, Historische-Ähnliche-Ereignisse-Finder Pattern-Matching Mock, Überraschungs-Score geplant vs unerwartet, Volumen-Spike-Korrelation mit Newsflow (D3.js), Sentiment-vs-Kursreaktion-Scatter-Plot, Watchlist-Integration nur relevante Assets, Nachrichten-Wichtigkeits-Filter Breaking/Normal, Zeitverzögerungs-Analyse wie schnell reagiert der Markt, Export Ereignis-Analyse-Report, GSAP Kursreaktions-Highlight-Animationen - USE CASE: Trader analysieren wie Kurse historisch auf ähnliche Nachrichten reagiert haben, Research-Analysten dokumentieren Event-Studies für interne Berichte.",
        "overview": "baue einen Finanznachrichten-Analyzer mit Kursreaktions-Overlay",
        "category": "NEWS, DATENFEEDS & OSINT",
        "category_number": 5,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Trader analysieren wie Kurse historisch auf ähnliche Nachrichten reagiert haben, Research-Analysten dokumentieren Event-Studies für interne Berichte.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-149",
        "title": "erstelle einen Social-Media-Trend-Radar Hashtag-Volumen",
        "prompt_number": 149,
        "prompt": "erstelle einen Social-Media-Trend-Radar Hashtag-Volumen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trend-Ranking-Liste nach Volumen und Wachstumsrate, Hashtag-Volumen-Verlauf-Chart über Zeit (ApexCharts Line), Themen-Cluster-Visualisierung verwandte Trends (D3.js), Geografische-Verteilung-Mock-Karte wo Trend stärkst, Sentiment-Verteilung pro Trend positiv/negativ/gemischt, Influencer-Beteiligungs-Indikator Mock, Trend-Lebenszyklus-Phase aufsteigend/Peak/abklingend, Wettbewerbs-Marken-Erwähnungs-Vergleich, Alert-Konfiguration bei Trend-Schwellenwert-Überschreitung, Export Trend-Report für Marketing-Team, Zeitzonen-adjustierte Aktivitäts-Heatmap, GSAP Trend-Aufstiegs-Animationen - USE CASE: Marketing-Teams erkennen relevante Trends frühzeitig für Content-Planung, Kommunikationsabteilungen überwachen Markenerwähnungen im Vergleich zum Wettbewerb.",
        "overview": "erstelle einen Social-Media-Trend-Radar Hashtag-Volumen",
        "category": "NEWS, DATENFEEDS & OSINT",
        "category_number": 5,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Marketing-Teams erkennen relevante Trends frühzeitig für Content-Planung, Kommunikationsabteilungen überwachen Markenerwähnungen im Vergleich zum Wettbewerb.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-150",
        "title": "entwickle ein Krisen-Ereignis-Frühwarnsystem-Dashboard",
        "prompt_number": 150,
        "prompt": "entwickle ein Krisen-Ereignis-Frühwarnsystem-Dashboard - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ereignis-Feed kategorisiert Geopolitik/Wirtschaft/Naturkatastrophen, Risiko-Score-Ampel pro Region (D3.js Choropleth Mock), Eskalations-Stufen-Anzeige beobachtet/erhöht/kritisch, Betroffenheits-Analyse eigene Standorte/Lieferketten markiert, Historische-Krisen-Vergleich ähnliche vergangene Ereignisse, Reaktionsplan-Checkliste pro Krisentyp, Kommunikations-Eskalationskette wer wird wann informiert, Zeitleiste Ereignisentwicklung (D3.js), Impact-Schätzung finanziell/operational (ApexCharts Gauge), Lessons-Learned-Dokumentation nach Ereignis, Export Krisenreport für Management, GSAP Eskalations-Alarm-Animationen - USE CASE: Risikomanagement-Teams erkennen aufkommende Krisen frühzeitig und koordinieren Reaktionen strukturiert, Führungskräfte erhalten kompakte Impact-Einschätzungen für schnelle Entscheidungen. ## Kategorie 6: REISE-, WETTER- & OUTDOOR-TOOLS",
        "overview": "entwickle ein Krisen-Ereignis-Frühwarnsystem-Dashboard",
        "category": "NEWS, DATENFEEDS & OSINT",
        "category_number": 5,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Risikomanagement-Teams erkennen aufkommende Krisen frühzeitig und koordinieren Reaktionen strukturiert, Führungskräfte erhalten kompakte Impact-Einschätzungen für schnelle Entscheidungen. ## Kategorie 6: REISE-, WETTER- & OUTDOOR-TOOLS",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-151",
        "title": "erstelle einen interaktiven Reiseführer-Baukasten mit Karte & Geheimtipp-Filter",
        "prompt_number": 151,
        "prompt": "erstelle einen interaktiven Reiseführer-Baukasten mit Karte & Geheimtipp-Filter - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Interaktive Karte mit kategorisierten Pins Strand/Kultur/Natur/Geheimtipp, Filter-Leiste Region und Kategorie kombinierbar, Orts-Detailkarten mit Bild/Beschreibung/UNESCO-Kennzeichnung, Praktische-Infos-Panel Währung/Sprache/Sicherheit, Routen-Vorschläge zwischen ausgewählten Orten, Eigene-Reiseliste zusammenstellen und exportieren, Bewertungs-/Notiz-Funktion pro Ort persönlich, Saisonale-Empfehlungen beste Reisezeit pro Ort, Offline-Karten-Hinweis für Vorab-Download, Entfernungsrechner zwischen Orten, Foto-Galerie pro Sehenswürdigkeit, GSAP Karten-Pin-Einblend-Animationen - USE CASE: Reisende planen individuelle Routen abseits ausgetretener Pfade mit verlässlichen Praxis-Infos, Reiseblogger bauen wiederverwendbare interaktive Guides für verschiedene Regionen.",
        "overview": "erstelle einen interaktiven Reiseführer-Baukasten mit Karte & Geheimtipp-Filter",
        "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
        "category_number": 6,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Reisende planen individuelle Routen abseits ausgetretener Pfade mit verlässlichen Praxis-Infos, Reiseblogger bauen wiederverwendbare interaktive Guides für verschiedene Regionen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-152",
        "title": "entwickle einen Roadtrip-Routenplaner mit Ladestationen & Gefahrenzonen",
        "prompt_number": 152,
        "prompt": "entwickle einen Roadtrip-Routenplaner mit Ladestationen & Gefahrenzonen - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Routenberechnung zwischen Wegpunkten mit mehreren Zwischenstopps, E-Ladestationen-Layer entlang der Strecke, Nachtfahrt-Gefahrenzonen-Overlay markiert, Tages-Etappen-Planer mit Fahrzeit-Schätzung, Übernachtungs-Vorschläge entlang der Route, Tankstellen-/Rastplatz-Layer, Wetter-entlang-der-Route-Anzeige pro Etappe, Höhenprofil-Chart der Strecke (ApexCharts Area), Reisekosten-Schätzung Sprit/Maut/Übernachtung, PNG-Export der geplanten Route, Mehrere-Tile-Layer-Optionen Satellit/Terrain/Standard, GSAP Routen-Zeichnungs-Animationen - USE CASE: Familien planen mehrtägige Autoreisen mit realistischer Etappenplanung, E-Auto-Fahrer stellen sicher dass Ladestationen entlang der gesamten Strecke verfügbar sind.",
        "overview": "entwickle einen Roadtrip-Routenplaner mit Ladestationen & Gefahrenzonen",
        "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
        "category_number": 6,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Familien planen mehrtägige Autoreisen mit realistischer Etappenplanung, E-Auto-Fahrer stellen sicher dass Ladestationen entlang der gesamten Strecke verfügbar sind.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-153",
        "title": "programmiere einen Reisebudget & Ausgaben-Tracker Multi-Währung",
        "prompt_number": 153,
        "prompt": "programmiere einen Reisebudget & Ausgaben-Tracker Multi-Währung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Budget-Kategorien Unterkunft/Essen/Transport/Aktivitäten mit Limits, Ausgaben-Erfassung mit automatischer Währungsumrechnung, Tagesbudget-vs-Ist-Vergleich (ApexCharts Balken), Reisekasse-Übersicht mehrere Währungen gleichzeitig, Ausgaben-Kategorien-Donut pro Reise, Splitting-Rechner Kosten unter Mitreisenden aufteilen, Kurshistorie-Chart der genutzten Währungen, Reisevergleich mehrere vergangene Reisen nebeneinander, Wechselkurs-Alarm bei günstigem Kurs, Beleg-Foto-Anhang pro Ausgabe, Export Reiseabrechnung als PDF, GSAP Budget-Balken-Animationen - USE CASE: Reisende behalten Ausgaben über mehrere Währungen hinweg im Blick ohne Excel, Gruppenreisen teilen gemeinsame Kosten fair und nachvollziehbar auf.",
        "overview": "programmiere einen Reisebudget & Ausgaben-Tracker Multi-Währung",
        "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
        "category_number": 6,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Reisende behalten Ausgaben über mehrere Währungen hinweg im Blick ohne Excel, Gruppenreisen teilen gemeinsame Kosten fair und nachvollziehbar auf.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-154",
        "title": "baue einen Guide-Trinkgeld & Einkommens-Kalkulator",
        "prompt_number": 154,
        "prompt": "baue einen Guide-Trinkgeld & Einkommens-Kalkulator - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Einflussfaktoren-Eingabe Wetter/Gruppengröße/Nationalitäten-Mix, Trinkgeld-Prognose basierend auf historischen Einträgen (ApexCharts Regression-Linie), Tour-Historie-Log mit tatsächlichem Trinkgeld pro Tour, Saisonale-Muster-Analyse beste/schlechteste Monate, Gruppengrößen-Schwellenwert-Analyse ab wann Trinkgeld steigt, Wetter-Korrelations-Anzeige, Einkommens-Ziel-Tracker monatlich, Vergleich verschiedener Tour-Typen Rentabilität, Statistik-Dashboard Durchschnitt/Median/Bestes-Ergebnis, Notizfeld pro Tour besondere Umstände, Export Einkommens-Übersicht für Steuerzwecke, GSAP Prognose-Update-Animationen - USE CASE: Freiberufliche Guides schätzen ihr variables Einkommen realistischer ein, Tour-Anbieter optimieren Gruppengrößen basierend auf historischer Trinkgeld-Datenanalyse.",
        "overview": "baue einen Guide-Trinkgeld & Einkommens-Kalkulator",
        "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
        "category_number": 6,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Freiberufliche Guides schätzen ihr variables Einkommen realistischer ein, Tour-Anbieter optimieren Gruppengrößen basierend auf historischer Trinkgeld-Datenanalyse.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-155",
        "title": "erstelle einen Packlisten-Generator nach Reiseziel & Klima",
        "prompt_number": 155,
        "prompt": "erstelle einen Packlisten-Generator nach Reiseziel & Klima - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Klimazone-basierte Vorschlagslisten Tropisch/Gemäßigt/Kalt/Wüste, Reisedauer-Anpassung Anzahl Kleidungsstücke skaliert, Aktivitäts-Module Wandern/Business/Strand als Zusatzkategorien, Abhak-Fortschritt mit Prozentanzeige (ApexCharts Radial), Gewichts-Rechner geschätztes Gepäckgewicht, Gepäckkategorien Handgepäck/Aufgabegepäck-Zuordnung, Wiederverwendbare-Vorlagen für wiederkehrende Reisetypen, Vergessens-Warnung häufig vergessene Gegenstände, Familienpackliste mehrere Personen gruppiert, Wetter-Integration Anpassung basierend auf Vorhersage, Export als druckbare Checkliste, GSAP Abhak-Animationen - USE CASE: Vielreisende erstellen schnell passgenaue Packlisten statt jedes Mal neu zu überlegen, Familien koordinieren Gepäck für mehrere Personen ohne etwas zu vergessen.",
        "overview": "erstelle einen Packlisten-Generator nach Reiseziel & Klima",
        "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
        "category_number": 6,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Vielreisende erstellen schnell passgenaue Packlisten statt jedes Mal neu zu überlegen, Familien koordinieren Gepäck für mehrere Personen ohne etwas zu vergessen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-156",
        "title": "entwickle einen Sehenswürdigkeiten-Sammler mit Karten-Timeline",
        "prompt_number": 156,
        "prompt": "entwickle einen Sehenswürdigkeiten-Sammler mit Karten-Timeline - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Besuchte-Orte-Karte mit Zeitstempel-Pins, Reise-Tagebuch-Einträge pro Ort mit Foto-Platzhalter, Zeitleisten-Ansicht chronologisch aller Reisen (D3.js), Länder-/Städte-Zähler-Statistik besucht, Fortschritts-Karte eingefärbte besuchte Länder (D3.js Choropleth), Reise-Jahresrückblick-Generator, Lieblingsorte-Ranking mit Bewertung, Teilen-Funktion-Mockup Reisebericht exportieren, Entfernungs-Gesamtstatistik zurückgelegte Kilometer, Foto-Sammlung pro Ort gruppiert, Notiz-Suchfunktion über alle Einträge, GSAP Pin-Sammlungs-Animationen - USE CASE: Vielreisende dokumentieren ihre Reisehistorie visuell ansprechend an einem Ort, Reise-Communities zeigen persönliche Entdeckungen strukturiert statt in losen Fotoalben.",
        "overview": "entwickle einen Sehenswürdigkeiten-Sammler mit Karten-Timeline",
        "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
        "category_number": 6,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Vielreisende dokumentieren ihre Reisehistorie visuell ansprechend an einem Ort, Reise-Communities zeigen persönliche Entdeckungen strukturiert statt in losen Fotoalben.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-157",
        "title": "baue einen Camping & Outdoor-Ausrüstungs-Planer mit Gewichts-Rechner",
        "prompt_number": 157,
        "prompt": "baue einen Camping & Outdoor-Ausrüstungs-Planer mit Gewichts-Rechner - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ausrüstungs-Kategorien Zelt/Schlafsack/Kochutensilien/Kleidung, Gewichts-Rechner Gesamtgepäck mit Warnung bei Überschreitung (ApexCharts Gauge), Packliste nach Tourdauer skaliert, Wetter-abhängige Ausrüstungs-Empfehlung, Verleih-vs-Kauf-Kostenvergleich, Ausrüstungs-Inventar eigene Gegenstände mit Zustand, Trekking-Route-Schwierigkeitsgrad-Anpassung Ausrüstungsbedarf, Proviant-Kalorienrechner pro Tag und Person, Packliste-Vorlagen nach Tourtyp Solo/Gruppe/Winter, Wartungs-Erinnerung Ausrüstung überprüfen vor Tour, Export Packliste mit Gewichtsangaben, GSAP Gewichts-Balken-Animationen - USE CASE: Wanderer und Camper packen gewichtsoptimiert ohne wichtige Ausrüstung zu vergessen, Outdoor-Anbieter beraten Kunden mit nachvollziehbaren Gewichts- und Bedarfsrechnungen.",
        "overview": "baue einen Camping & Outdoor-Ausrüstungs-Planer mit Gewichts-Rechner",
        "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
        "category_number": 6,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Wanderer und Camper packen gewichtsoptimiert ohne wichtige Ausrüstung zu vergessen, Outdoor-Anbieter beraten Kunden mit nachvollziehbaren Gewichts- und Bedarfsrechnungen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-158",
        "title": "erstelle eine öffentliche-Verkehrsmittel-Verbindungssuche mit Offline-Cache",
        "prompt_number": 158,
        "prompt": "erstelle eine öffentliche-Verkehrsmittel-Verbindungssuche mit Offline-Cache - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verbindungssuche zwischen zwei Orten mit Umstiegen, Fahrplan-Anzeige nach Verkehrsmittel Bus/Bahn/Tram gefiltert, Offline-Cache häufig genutzter Verbindungen, Verspätungs-Statistik historisch pro Linie (ApexCharts Balken), Ticketpreis-Schätzung nach Zonen, Barrierefreiheits-Kennzeichnung pro Verbindung, Alternative-Routen-Vorschläge bei Ausfall, Lieblingsverbindungen-Speicherfunktion, Karten-Ansicht der Route (D3.js oder Leaflet), Reisezeit-Vergleich verschiedener Abfahrtszeiten, Pünktlichkeits-Ranking der Linien, GSAP Verbindungs-Such-Animationen - USE CASE: Pendler und Reisende finden verlässliche Verbindungen auch ohne Internetzugang unterwegs, Tourist:innen in fremden Städten navigieren den ÖPNV ohne lokale App-Installation.",
        "overview": "erstelle eine öffentliche-Verkehrsmittel-Verbindungssuche mit Offline-Cache",
        "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
        "category_number": 6,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Pendler und Reisende finden verlässliche Verbindungen auch ohne Internetzugang unterwegs, Tourist:innen in fremden Städten navigieren den ÖPNV ohne lokale App-Installation.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-159",
        "title": "entwickle einen Auswanderungs-Umzugs-Kosten-Vergleichsrechner",
        "prompt_number": 159,
        "prompt": "entwickle einen Auswanderungs-Umzugs-Kosten-Vergleichsrechner - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Lebenshaltungskosten-Vergleich zwischen Ländern/Städten (ApexCharts Balken), Kategorien-Breakdown Miete/Lebensmittel/Gesundheit/Steuern, Kaufkraft-Index-Berechnung angepasst an Gehalt, Umzugskosten-Rechner Transport/Visa/Kaution, Steuersystem-Vergleich grobe Einschätzung, Gesundheitssystem-Kurzvergleich, Klimazonen-und-Lebensqualität-Vergleich, Sprachbarriere-Einschätzung, Zeitzonen-Unterschied-Anzeige zu Heimat, Community-Größe-Indikator Expats vor Ort Mock, Break-Even-Rechner ab wann Umzug sich lohnt, GSAP Vergleichs-Balken-Animationen - USE CASE: Auswanderungsinteressierte vergleichen potenzielle Zielländer objektiv vor der Entscheidung, Personalabteilungen kalkulieren Auslandsentsendungs-Budgets für Mitarbeiter transparent.",
        "overview": "entwickle einen Auswanderungs-Umzugs-Kosten-Vergleichsrechner",
        "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
        "category_number": 6,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Auswanderungsinteressierte vergleichen potenzielle Zielländer objektiv vor der Entscheidung, Personalabteilungen kalkulieren Auslandsentsendungs-Budgets für Mitarbeiter transparent.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-160",
        "title": "baue ein Reise-Tagebuch mit Karten-Pins & Foto-Timeline",
        "prompt_number": 160,
        "prompt": "baue ein Reise-Tagebuch mit Karten-Pins & Foto-Timeline - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Tagebucheinträge mit Datum/Ort/Text/Foto-Platzhalter, Karten-Ansicht aller Einträge als verbundene Route, Stimmungs-Tracking pro Eintrag Emoji-basiert, Zeitleisten-Ansicht chronologisch mit Vorschau (D3.js), Kapitel-Gruppierung nach Reiseabschnitt, Volltextsuche über alle Einträge, Statistik-Dashboard Anzahl Einträge/Orte/Fotos, Wetter-Notiz pro Tag automatisch-manuell, Export als zusammenhängendes Reisebuch PDF, Privatsphäre-Stufen pro Eintrag privat/teilbar, Highlight-Markierung besondere Momente, GSAP Timeline-Scroll-Animationen - USE CASE: Reisende halten Erlebnisse strukturiert fest statt verstreuter Notizen-App-Einträge, Langzeitreisende erstellen am Ende ein zusammenhängendes digitales Reisebuch zum Teilen. ## Kategorie 7: SPORT & SAMMLER-TOOLS",
        "overview": "baue ein Reise-Tagebuch mit Karten-Pins & Foto-Timeline",
        "category": "REISE-, WETTER- & OUTDOOR-TOOLS",
        "category_number": 6,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Reisende halten Erlebnisse strukturiert fest statt verstreuter Notizen-App-Einträge, Langzeitreisende erstellen am Ende ein zusammenhängendes digitales Reisebuch zum Teilen. ## Kategorie 7: SPORT & SAMMLER-TOOLS",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-161",
        "title": "erstelle ein Fantasy-Liga-Manager-Dashboard mit Live-Punkten",
        "prompt_number": 161,
        "prompt": "erstelle ein Fantasy-Liga-Manager-Dashboard mit Live-Punkten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kader-Aufstellung Drag&Drop nach Formation, Punkte-Berechnung pro Spieler nach Aktionen Tor/Assist/Karte, Liga-Tabelle mit allen Teilnehmern (ApexCharts Balken), Spieler-Formkurve letzte 5 Spiele (D3.js Sparkline), Transfer-Markt mit Budget-Verwaltung, Kapitäns-Wahl mit Punkte-Multiplikator, Spieltag-Historie eigene Punktentwicklung, Verletzungs-/Sperren-Warnung vor Kader-Sperre, Kopf-an-Kopf-Vergleich gegen Liga-Konkurrenten, Wochen-MVP-Auszeichnung automatisch, Export Saison-Zusammenfassung, GSAP Punkte-Update-Animationen - USE CASE: Fantasy-Liga-Teilnehmer verwalten ihr Team mit detaillierter Performance-Analyse, Liga-Organisatoren bieten Teilnehmern eine ansprechende zentrale Übersicht.",
        "overview": "erstelle ein Fantasy-Liga-Manager-Dashboard mit Live-Punkten",
        "category": "SPORT & SAMMLER-TOOLS",
        "category_number": 7,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Fantasy-Liga-Teilnehmer verwalten ihr Team mit detaillierter Performance-Analyse, Liga-Organisatoren bieten Teilnehmern eine ansprechende zentrale Übersicht.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-162",
        "title": "entwickle einen Sammelkarten-Portfolio-Tracker mit Wertentwicklung",
        "prompt_number": 162,
        "prompt": "entwickle einen Sammelkarten-Portfolio-Tracker mit Wertentwicklung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sammlung-Inventar mit Zustand-Bewertung Mint/Near-Mint/Played, Wertentwicklungs-Chart pro Karte manuell gepflegt (ApexCharts Line), Portfolio-Gesamtwert-Anzeige mit Verlauf, Seltenheits-Kategorisierung Common/Rare/Legendary, Wunschlisten-Verwaltung fehlende Karten, Sammlung-Vollständigkeits-Anzeige pro Set (ApexCharts Radial), Tausch-Vorschlags-Liste eigene Dubletten, Kategorie-Verteilung nach Set/Ära (D3.js Treemap), Zustandsverschlechterungs-Notizen über Zeit, Versicherungswert-Schätzung Gesamtsammlung, Export Sammlungsliste als Inventar-PDF, GSAP Wert-Update-Animationen - USE CASE: Sammler behalten Überblick über Portfoliowert und Vollständigkeit ihrer Sammlung, Käufer/Verkäufer dokumentieren Zustand und Wert für Versicherung oder Verkauf.",
        "overview": "entwickle einen Sammelkarten-Portfolio-Tracker mit Wertentwicklung",
        "category": "SPORT & SAMMLER-TOOLS",
        "category_number": 7,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Sammler behalten Überblick über Portfoliowert und Vollständigkeit ihrer Sammlung, Käufer/Verkäufer dokumentieren Zustand und Wert für Versicherung oder Verkauf.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-163",
        "title": "programmiere einen Trainingsplan-Builder mit Fortschritts-Charts",
        "prompt_number": 163,
        "prompt": "programmiere einen Trainingsplan-Builder mit Fortschritts-Charts - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainingsplan-Editor Übungen nach Muskelgruppe/Tag, Fortschritts-Tracking Gewicht/Wiederholungen pro Übung über Zeit (ApexCharts Line), Periodisierungs-Ansicht Aufbau/Erhaltung/Deload-Phasen, Ein-Wiederholungs-Maximum-Rechner geschätzt, Körpermaße-Tracker mit Verlaufsdiagramm, Trainingsvolumen-Analyse pro Woche (D3.js Stacked Bar), Übungsbibliothek mit Ausführungshinweisen, Ruhetag-Planer automatische Balance, Trainingsstreak-Tracker Motivation, Kalorien-/Makro-Schätzung pro Trainingstag, Export Trainingsplan als PDF, GSAP Fortschritts-Balken-Animationen - USE CASE: Freizeitsportler planen und verfolgen Trainingsfortschritt strukturiert ohne teure Fitness-App-Abos, Personal Trainer erstellen individuelle Trainingspläne für Klienten mit klarer Fortschrittsdokumentation.",
        "overview": "programmiere einen Trainingsplan-Builder mit Fortschritts-Charts",
        "category": "SPORT & SAMMLER-TOOLS",
        "category_number": 7,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Freizeitsportler planen und verfolgen Trainingsfortschritt strukturiert ohne teure Fitness-App-Abos, Personal Trainer erstellen individuelle Trainingspläne für Klienten mit klarer Fortschrittsdokumentation.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-164",
        "title": "baue ein Vereins-Team-Statistik-Vergleichs-Terminal",
        "prompt_number": 164,
        "prompt": "baue ein Vereins-Team-Statistik-Vergleichs-Terminal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Team-Vergleichs-Matrix Offensive/Defensive-Kennzahlen, Saisonverlauf-Chart Tabellenplatz über Spieltage (ApexCharts Line), Head-to-Head-Historie zwischen zwei Teams, Heim-vs-Auswärts-Performance-Split, Spieler-Statistik-Ranking innerhalb Team, Form-Tabelle letzte 5/10 Spiele, Torschützen-/Vorlagen-Liste mit Ranking, Radar-Chart Team-Stärken-Profil (D3.js), Verletzungs-Report-Übersicht Kader-Verfügbarkeit, Liga-weite-Vergleiche Durchschnittswerte, Export Statistik-Report, GSAP Ranking-Wechsel-Animationen - USE CASE: Fans analysieren Team-Performance tiefer als Standard-Tabellen bieten, Trainer-Teams bereiten Gegner-Analysen mit fundierten Statistiken vor.",
        "overview": "baue ein Vereins-Team-Statistik-Vergleichs-Terminal",
        "category": "SPORT & SAMMLER-TOOLS",
        "category_number": 7,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Fans analysieren Team-Performance tiefer als Standard-Tabellen bieten, Trainer-Teams bereiten Gegner-Analysen mit fundierten Statistiken vor.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-165",
        "title": "erstelle einen Ticket-Event-Verfügbarkeits-Tracker",
        "prompt_number": 165,
        "prompt": "erstelle einen Ticket-Event-Verfügbarkeits-Tracker - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Event-Kalender mit Verfügbarkeits-Status Ampel, Preis-Entwicklungs-Chart über Zeit bis Event (ApexCharts Line), Sitzplatz-Kategorie-Vergleich Preis-Leistung, Wunschzettel-Events mit Verfügbarkeits-Alarm, Venue-Karten-Ansicht Sitzplan-Mockup, Preisvergleich mehrerer Anbieter Mock, Event-Historie besuchte Veranstaltungen, Freunde-Gruppen-Koordination gemeinsamer Kauf-Mockup, Reise-Kombination Event plus Anreise/Unterkunft-Hinweis, Erinnerungs-Countdown bis Verkaufsstart, Export Event-Übersicht, GSAP Verfügbarkeits-Status-Animationen - USE CASE: Fans verpassen keinen Vorverkaufsstart begehrter Events durch zentrale Übersicht, Gruppen koordinieren gemeinsame Event-Besuche mit Budget- und Terminabgleich.",
        "overview": "erstelle einen Ticket-Event-Verfügbarkeits-Tracker",
        "category": "SPORT & SAMMLER-TOOLS",
        "category_number": 7,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Fans verpassen keinen Vorverkaufsstart begehrter Events durch zentrale Übersicht, Gruppen koordinieren gemeinsame Event-Besuche mit Budget- und Terminabgleich.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-166",
        "title": "entwickle ein Wett-Quoten-Vergleichs-Dashboard edukativ",
        "prompt_number": 166,
        "prompt": "entwickle ein Wett-Quoten-Vergleichs-Dashboard edukativ - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Quoten-Vergleichstabelle mehrerer Mock-Anbieter, Implizite-Wahrscheinlichkeit-Rechner aus Quote, Value-Bet-Finder Differenz eigene Einschätzung vs Quote, Bankroll-Management-Rechner Einheiten-basiert, Wett-Historie-Tracker mit ROI-Berechnung (ApexCharts Line), Value-Score-Ranking verschiedener Wetten, Verantwortungsvolles-Spielen-Hinweise und Limits prominent, Quoten-Bewegungs-Historie vor Event, Statistik-Vergleich beider Teams als Entscheidungshilfe, Simulierte-Wett-Slip ohne echtes Geld, Export Wett-Journal für eigene Analyse, GSAP Quoten-Änderungs-Animationen - USE CASE: Nutzer lernen Quoten- und Wahrscheinlichkeitsanalyse verantwortungsbewusst mit klaren Limit-Hinweisen, Bildungsprojekte zeigen mathematische Grundlagen hinter Wettquoten anschaulich. WICHTIG: durchgängig Responsible-Gaming-Hinweise, keine echten Zahlungsfunktionen.",
        "overview": "entwickle ein Wett-Quoten-Vergleichs-Dashboard edukativ",
        "category": "SPORT & SAMMLER-TOOLS",
        "category_number": 7,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Nutzer lernen Quoten- und Wahrscheinlichkeitsanalyse verantwortungsbewusst mit klaren Limit-Hinweisen, Bildungsprojekte zeigen mathematische Grundlagen hinter Wettquoten anschaulich. WICHTIG: durchgängig Responsible-Gaming-Hinweise, keine echten Zahlungsfunktionen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-167",
        "title": "baue einen Sportartikel-Sammlung-Katalog mit Zustands-Bewertung",
        "prompt_number": 167,
        "prompt": "baue einen Sportartikel-Sammlung-Katalog mit Zustands-Bewertung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Katalog-Inventar Trikots/Schuhe/Memorabilia mit Foto-Platzhalter, Zustands-Bewertungs-Skala mit Beschreibung, Echtheits-Dokumentation Zertifikat-Upload-Mockup, Wertschätzungs-Historie über Zeit (ApexCharts Line), Kategorie-Filter nach Sportart/Ära/Spieler, Versicherungswert-Gesamtübersicht, Ausstellungs-Planer welche Stücke wo aufbewahrt, Tausch-/Verkaufs-Interesse-Markierung, Herkunfts-Dokumentation Provenienz-Notizen, Zustandsverschlechterung-Warnung bei Lagerungsbedingungen, Export Sammlungskatalog PDF, GSAP Katalog-Karten-Animationen - USE CASE: Memorabilia-Sammler dokumentieren Echtheit und Wert ihrer Sammlung professionell, Versicherungen erhalten strukturierte Nachweise für Wertsachen-Policen.",
        "overview": "baue einen Sportartikel-Sammlung-Katalog mit Zustands-Bewertung",
        "category": "SPORT & SAMMLER-TOOLS",
        "category_number": 7,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Memorabilia-Sammler dokumentieren Echtheit und Wert ihrer Sammlung professionell, Versicherungen erhalten strukturierte Nachweise für Wertsachen-Policen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-168",
        "title": "erstelle einen Turnier-Bracket-Generator interaktiv",
        "prompt_number": 168,
        "prompt": "erstelle einen Turnier-Bracket-Generator interaktiv - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Automatische Bracket-Erstellung K.O.-System nach Teilnehmerzahl (D3.js Baumdiagramm), Gruppenphase-plus-K.O.-Hybrid-Modus, Ergebnis-Eintragung mit automatischem Weiterrücken, Setzlisten-Verwaltung nach Ranking, Live-Turnierbaum-Ansicht während Verlauf, Statistik-Dashboard Tore/Punkte pro Teilnehmer, Zeitplan-Generator mit Spielterminen, Freilos-Behandlung bei ungerader Teilnehmerzahl, Export Turnierbaum als Bild/PDF, Historische-Turniere-Archiv, Sieger-Ehrentafel, GSAP Bracket-Fortschritts-Animationen - USE CASE: Vereine und Hobby-Ligen organisieren Turniere ohne teure Turnier-Software, Event-Organisatoren visualisieren Turnierverlauf für Teilnehmer und Zuschauer live.",
        "overview": "erstelle einen Turnier-Bracket-Generator interaktiv",
        "category": "SPORT & SAMMLER-TOOLS",
        "category_number": 7,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Vereine und Hobby-Ligen organisieren Turniere ohne teure Turnier-Software, Event-Organisatoren visualisieren Turnierverlauf für Teilnehmer und Zuschauer live.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-169",
        "title": "entwickle einen Athleten-Karriere-Verlauf-Visualizer",
        "prompt_number": 169,
        "prompt": "entwickle einen Athleten-Karriere-Verlauf-Visualizer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karriere-Zeitleiste Vereine/Transfers/Meilensteine (D3.js Timeline), Leistungsentwicklung über Karriere Kennzahl pro Saison (ApexCharts Line), Vergleich mehrerer Athleten Side-by-Side, Verletzungshistorie-Übersicht mit Ausfallzeiten, Titel-/Auszeichnungs-Sammlung als Ehrentafel, Marktwert-Entwicklung-Mockup über Karriere, Vereins-Wechsel-Karte geografisch (D3.js), Statistik-Highlights beste Saison hervorgehoben, Altersvergleich Peak-Performance-Alter, Karriere-Phasen-Kennzeichnung Aufstieg/Prime/Ausklang, Export Karriere-Profil als PDF, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Sportjournalisten recherchieren Karriereverläufe visuell aufbereitet für Artikel, Scouting-Teams vergleichen Karriereentwicklungen mehrerer Talente strukturiert.",
        "overview": "entwickle einen Athleten-Karriere-Verlauf-Visualizer",
        "category": "SPORT & SAMMLER-TOOLS",
        "category_number": 7,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Sportjournalisten recherchieren Karriereverläufe visuell aufbereitet für Artikel, Scouting-Teams vergleichen Karriereentwicklungen mehrerer Talente strukturiert.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-170",
        "title": "baue eine Community-Sammler-Tausch-Börse Mockup",
        "prompt_number": 170,
        "prompt": "baue eine Community-Sammler-Tausch-Börse Mockup - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Angebots-/Gesuchs-Liste mit Foto-Platzhalter und Zustand, Matching-Algorithmus-Mockup passende Tauschpartner vorschlagen, Community-Profil mit Sammlungsschwerpunkt, Bewertungs-System für Tauschpartner nach Transaktion, Tausch-Verlauf-Historie abgeschlossene Trades, Kategorie-Browser nach Sammelgebiet, Wunschlisten-Abgleich automatische Benachrichtigung bei Treffer, Fairness-Rechner geschätzter Wertevergleich beider Seiten, Community-Statistik aktive Nutzer/Trades gesamt (ApexCharts), Nachrichtenfunktion-Mockup zwischen Tauschpartnern, Melde-Funktion bei Problemen, GSAP Match-Gefunden-Animationen - USE CASE: Sammler-Communities finden passende Tauschpartner für ihre Sammlung strukturiert, Vereine bieten Mitgliedern eine faire Plattform für Sammelobjekt-Tausch ohne Geldfluss. ## Kategorie 8: MEDIA, GAMES & ENTERTAINMENT",
        "overview": "baue eine Community-Sammler-Tausch-Börse Mockup",
        "category": "SPORT & SAMMLER-TOOLS",
        "category_number": 7,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Sammler-Communities finden passende Tauschpartner für ihre Sammlung strukturiert, Vereine bieten Mitgliedern eine faire Plattform für Sammelobjekt-Tausch ohne Geldfluss. ## Kategorie 8: MEDIA, GAMES & ENTERTAINMENT",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-171",
        "title": "erstelle einen interaktiven Roman-E-Book-Reader mit Kapitel-Navigation",
        "prompt_number": 171,
        "prompt": "erstelle einen interaktiven Roman-E-Book-Reader mit Kapitel-Navigation - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kapitel-Sidebar mit Lesefortschritt pro Kapitel, Schriftgröße-/Zeilenabstand-Regler live, Lesemodus Hell/Dunkel/Sepia, Lesezeichen-Funktion mit Notizen, Lesefortschritt-Gesamtanzeige Prozent und geschätzte Restzeit (ApexCharts Radial), Kapitel-Zusammenfassungen einklappbar, Text-Suche mit Ergebnis-Sprung, Zitat-Sammlung markierte Textstellen, Statistik-Dashboard Lesegeschwindigkeit/Sessions, Automatisches-Scroll-Modus einstellbare Geschwindigkeit, Export Notizen und Zitate, GSAP Seitenübergangs-Animationen - USE CASE: Autoren präsentieren ihre Werke in einem ansprechenden Eigen-Reader ohne Plattform-Abhängigkeit, Leser verfolgen Fortschritt und sammeln Lieblingszitate strukturiert.",
        "overview": "erstelle einen interaktiven Roman-E-Book-Reader mit Kapitel-Navigation",
        "category": "MEDIA, GAMES & ENTERTAINMENT",
        "category_number": 8,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Autoren präsentieren ihre Werke in einem ansprechenden Eigen-Reader ohne Plattform-Abhängigkeit, Leser verfolgen Fortschritt und sammeln Lieblingszitate strukturiert.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-172",
        "title": "entwickle einen Browser-Game-Arcade-Hub mit Highscore-System",
        "prompt_number": 172,
        "prompt": "entwickle einen Browser-Game-Arcade-Hub mit Highscore-System - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Spiele-Galerie-Grid mit Vorschaubildern und Kategorien, Highscore-Tabelle pro Spiel lokal gespeichert, Spieler-Profil mit Gesamt-Statistik über alle Spiele, Erfolge-/Achievement-System mit Freischalt-Bedingungen, Tages-Herausforderung ein Spiel mit Sonderregeln, Spielzeit-Tracker pro Spiel, Favoriten-Sammlung meistgespielte Spiele, Schwierigkeitsgrad-Auswahl pro Spiel, Tutorial-Overlay für Neueinsteiger pro Spiel, Sound-An-Aus-Umschalter global, Fortschritts-Dashboard Achievements gesamt (ApexCharts Radial), GSAP Spiel-Start-Übergangs-Animationen - USE CASE: Portale bündeln mehrere kleine Browser-Spiele mit einheitlichem Fortschritts-Tracking, Nutzer verfolgen persönliche Bestleistungen über eine wachsende Spielesammlung hinweg.",
        "overview": "entwickle einen Browser-Game-Arcade-Hub mit Highscore-System",
        "category": "MEDIA, GAMES & ENTERTAINMENT",
        "category_number": 8,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Portale bündeln mehrere kleine Browser-Spiele mit einheitlichem Fortschritts-Tracking, Nutzer verfolgen persönliche Bestleistungen über eine wachsende Spielesammlung hinweg.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-173",
        "title": "programmiere einen Schach-Trainer mit mehreren Engine-Stärken",
        "prompt_number": 173,
        "prompt": "programmiere einen Schach-Trainer mit mehreren Engine-Stärken - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schachbrett interaktiv mit Zug-Validierung, Engine-Stärke-Auswahl Anfänger bis Fortgeschritten, Eröffnungs-Datenbank mit Namen und Zugfolgen, Taktik-Trainer tägliche Rätsel mit Bewertungssystem (ApexCharts Elo-Verlauf), Partie-Analyse nach Spielende Fehler markiert, Zug-Historie mit Notation und Rücknahme-Funktion, Eröffnungs-Repertoire-Builder eigene Linien speichern, Endspiel-Übungs-Modus typische Stellungen, Zeitkontrolle-Optionen Blitz/Rapid/Klassisch, Spielstärke-Schätzung basierend auf Partien, Export Partie als PGN, GSAP Zug-Animationen auf dem Brett - USE CASE: Schachspieler trainieren gegen verschieden starke Gegner passend zum eigenen Niveau, Vereine bieten Mitgliedern taktisches Training mit nachvollziehbarem Fortschritt.",
        "overview": "programmiere einen Schach-Trainer mit mehreren Engine-Stärken",
        "category": "MEDIA, GAMES & ENTERTAINMENT",
        "category_number": 8,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Schachspieler trainieren gegen verschieden starke Gegner passend zum eigenen Niveau, Vereine bieten Mitgliedern taktisches Training mit nachvollziehbarem Fortschritt.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-174",
        "title": "baue einen Comic-Webtoon-Reader mit Panel-Zoom",
        "prompt_number": 174,
        "prompt": "baue einen Comic-Webtoon-Reader mit Panel-Zoom - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertikaler-Scroll-Lesemodus für Webtoons, Panel-für-Panel-Modus mit Zoom bei Tap, Kapitel-Übersicht mit Cover-Vorschau, Lesezeichen pro Kapitel und Panel-Position, Helligkeits-/Kontrast-Regler für Leseumgebung, Kommentar-Bereich-Mockup pro Kapitel, Serien-Bibliothek mit Fortsetzungs-Status abgeschlossen/laufend, Lese-Historie zuletzt gelesene Serien, Offline-Download-Kennzeichnung pro Kapitel, Vollbild-Lesemodus ohne Ablenkung, Auto-Scroll-Geschwindigkeitsregler, GSAP Panel-Übergangs-Animationen - USE CASE: Unabhängige Comic-Autoren veröffentlichen eigene Werke ohne Plattform-Provisionen, Leser genießen ein natives Lese-Erlebnis speziell für vertikale Comic-Formate.",
        "overview": "baue einen Comic-Webtoon-Reader mit Panel-Zoom",
        "category": "MEDIA, GAMES & ENTERTAINMENT",
        "category_number": 8,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Unabhängige Comic-Autoren veröffentlichen eigene Werke ohne Plattform-Provisionen, Leser genießen ein natives Lese-Erlebnis speziell für vertikale Comic-Formate.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-175",
        "title": "erstelle einen Musik-Playlist & Stimmungs-Visualizer",
        "prompt_number": 175,
        "prompt": "erstelle einen Musik-Playlist & Stimmungs-Visualizer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Playlist-Verwaltung mit Drag&Drop-Sortierung, Waveform-Visualisierung während Wiedergabe (D3.js Canvas), Stimmungs-Tagging pro Song energetisch/ruhig/melancholisch, Stimmungs-basierte-Playlist-Generierung automatisch, Hörhistorie-Statistik meistgehörte Songs/Genres (ApexCharts Balken), Beat-synchronisierte-Animationen GSAP zum Takt, Lyrics-Anzeige-Platzhalter synchronisiert, Genre-Verteilungs-Donut eigene Bibliothek, Höralbum-Fortschritt bei vollständigem Album, Cross-Fade-Einstellung zwischen Songs, Export Playlist als M3U, GSAP Album-Cover-Rotations-Animationen - USE CASE: Musikliebhaber organisieren ihre Sammlung nach Stimmung statt nur nach Genre, Content-Ersteller visualisieren Audio ansprechend für Präsentationen oder Streams.",
        "overview": "erstelle einen Musik-Playlist & Stimmungs-Visualizer",
        "category": "MEDIA, GAMES & ENTERTAINMENT",
        "category_number": 8,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Musikliebhaber organisieren ihre Sammlung nach Stimmung statt nur nach Genre, Content-Ersteller visualisieren Audio ansprechend für Präsentationen oder Streams.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-176",
        "title": "entwickle einen Quiz-Show-Baukasten mit Buzzer-Simulation",
        "prompt_number": 176,
        "prompt": "entwickle einen Quiz-Show-Baukasten mit Buzzer-Simulation - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fragen-Editor mit Kategorien und Punktwerten Jeopardy-Style, Buzzer-Simulation-Mockup wer zuerst klickt bekommt Zug, Punktestand-Anzeige Live pro Team/Spieler, Zeitlimit-Timer pro Frage mit visuellem Countdown, Fragenkatalog-Import/Export als JSON, Moderatoren-Ansicht separat von Spieler-Ansicht, Soundeffekte-Mockup richtig/falsch, Runden-Struktur Vorrunde/Finale konfigurierbar, Joker-System 50/50 oder Publikumsjoker-Mockup, Highscore-Liste vergangener Runden, Vollbild-Präsentations-Modus für Beamer, GSAP Punktestand-Update-Animationen - USE CASE: Lehrkräfte und Trainer gestalten interaktive Wissensabfragen für Gruppen unterhaltsam, Event-Organisatoren nutzen die App als Grundlage für Quiz-Abende ohne Zusatz-Hardware.",
        "overview": "entwickle einen Quiz-Show-Baukasten mit Buzzer-Simulation",
        "category": "MEDIA, GAMES & ENTERTAINMENT",
        "category_number": 8,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Lehrkräfte und Trainer gestalten interaktive Wissensabfragen für Gruppen unterhaltsam, Event-Organisatoren nutzen die App als Grundlage für Quiz-Abende ohne Zusatz-Hardware.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-177",
        "title": "programmiere eine Kurzgeschichten-Gedicht-Sammlung mit Stimmungs-Tagging",
        "prompt_number": 177,
        "prompt": "programmiere eine Kurzgeschichten-Gedicht-Sammlung mit Stimmungs-Tagging - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Text-Bibliothek kategorisiert nach Genre und Stimmung, Lese-Ansicht mit typografisch hochwertiger Darstellung, Stimmungs-Filter melancholisch/hoffnungsvoll/humorvoll, Autoren-Profile bei Sammel-Anthologien, Lieblings-Sammlung persönliche Favoriten, Zufalls-Text-Funktion Überraschung des Tages, Lesezeit-Anzeige pro Text, Text-Statistik Wortanzahl/Lesezeit-Verteilung (ApexCharts), Themen-Wolke häufige Motive (D3.js Word Cloud), Kommentar-/Reflexions-Notizfeld pro Text privat, Export einzelner Texte als PDF, GSAP Text-Einblend-Animationen - USE CASE: Autoren präsentieren eine kuratierte Sammlung ihrer Kurztexte ansprechend, Leser entdecken Texte passend zu ihrer aktuellen Stimmung gezielt.",
        "overview": "programmiere eine Kurzgeschichten-Gedicht-Sammlung mit Stimmungs-Tagging",
        "category": "MEDIA, GAMES & ENTERTAINMENT",
        "category_number": 8,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Autoren präsentieren eine kuratierte Sammlung ihrer Kurztexte ansprechend, Leser entdecken Texte passend zu ihrer aktuellen Stimmung gezielt.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-178",
        "title": "baue eine Retro-Arcade-Casino-Demo Play-Money",
        "prompt_number": 178,
        "prompt": "baue eine Retro-Arcade-Casino-Demo Play-Money - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Blackjack- und Roulette-Simulation mit virtueller Spielwährung, Deutliche Play-Money-Kennzeichnung durchgängig sichtbar, Responsible-Gaming-Hinweise und Selbsttest prominent verlinkt, Spielverlauf-Statistik Gewinn/Verlust-Kurve (ApexCharts Line) nur zu Demonstrationszwecken, Retro-Pixel-Art-Design-Ästhetik, Regel-Erklärungen für Einsteiger pro Spiel, Einsatzlimit-Simulator zeigt Wirkung von Limits, Wahrscheinlichkeits-Erklär-Panel Hausvorteil transparent dargestellt, Sound-Effekte-Mockup, Sitzungs-Zeit-Tracker mit Erinnerung Pause einzulegen, Kein-Echtgeld-Hinweis in jedem Screen, GSAP Karten-/Rad-Animationen - USE CASE: Bildungsprojekte erklären Casino-Spielmechaniken und Hausvorteil transparent ohne echtes Geld, Entwickler demonstrieren Spiel-UI-Konzepte in Portfolios verantwortungsbewusst gekennzeichnet.",
        "overview": "baue eine Retro-Arcade-Casino-Demo Play-Money",
        "category": "MEDIA, GAMES & ENTERTAINMENT",
        "category_number": 8,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Bildungsprojekte erklären Casino-Spielmechaniken und Hausvorteil transparent ohne echtes Geld, Entwickler demonstrieren Spiel-UI-Konzepte in Portfolios verantwortungsbewusst gekennzeichnet.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-179",
        "title": "erstelle einen Podcast-Hörbuch-Player mit Kapitel-Marken",
        "prompt_number": 179,
        "prompt": "erstelle einen Podcast-Hörbuch-Player mit Kapitel-Marken - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wiedergabe-Steuerung mit Kapitel-Sprungmarken, Geschwindigkeitsregler 0.5x bis 3x, Schlaf-Timer automatisches Stoppen, Wiedergabe-Historie mit Fortschritt pro Episode, Episoden-Bibliothek mit Cover und Beschreibung, Warteschlange-Verwaltung nächste Episoden, Transkript-Anzeige-Platzhalter synchron scrollend, Lesezeichen innerhalb einer Episode setzen, Hörstatistik Gesamtzeit/Episoden-Anzahl (ApexCharts), Offline-Download-Kennzeichnung, Cross-Device-Fortschritt-Sync-Mockup, GSAP Wiedergabe-Steuerungs-Animationen - USE CASE: Podcast-Produzenten bieten Hörern eine eigene Player-Erfahrung ohne Plattform-Abhängigkeit, Hörbuch-Verlage integrieren Kapitel-Navigation für lange Werke nutzerfreundlich.",
        "overview": "erstelle einen Podcast-Hörbuch-Player mit Kapitel-Marken",
        "category": "MEDIA, GAMES & ENTERTAINMENT",
        "category_number": 8,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Podcast-Produzenten bieten Hörern eine eigene Player-Erfahrung ohne Plattform-Abhängigkeit, Hörbuch-Verlage integrieren Kapitel-Navigation für lange Werke nutzerfreundlich.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-180",
        "title": "entwickle eine Fan-Community-Sammlung-Showcase digitales Sammelalbum",
        "prompt_number": 180,
        "prompt": "entwickle eine Fan-Community-Sammlung-Showcase digitales Sammelalbum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitales Sammelalbum mit Slot-Raster für Sticker/Karten, Fortschritts-Anzeige pro Kategorie und Gesamt (ApexCharts Radial), Sammel-Historie wann welches Item hinzugefügt, Doppelten-Marker für Tauschbörse, Community-Ranking vollständigste Sammlungen Mock, Themen-Alben mehrere parallele Sammlungen, Freischalt-Animationen bei neuem Item, Statistik-Dashboard Sammelrate über Zeit, Wunschliste fehlende Items hervorgehoben, Export Sammelstatus als Bild zum Teilen, Jubiläums-Sonderseiten für Meilensteine, GSAP Sticker-Enthüllungs-Animationen - USE CASE: Fan-Communities digitalisieren klassische Sammelalben-Erfahrung für Vereine oder Serien, Marken binden Fans durch spielerische Sammel-Mechaniken ohne Papier-Alben. ## Kategorie 9: BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "overview": "entwickle eine Fan-Community-Sammlung-Showcase digitales Sammelalbum",
        "category": "MEDIA, GAMES & ENTERTAINMENT",
        "category_number": 8,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Fan-Communities digitalisieren klassische Sammelalben-Erfahrung für Vereine oder Serien, Marken binden Fans durch spielerische Sammel-Mechaniken ohne Papier-Alben. ## Kategorie 9: BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-181",
        "title": "erstelle einen interaktiven Lebenslauf-Portfolio-Builder mit Export",
        "prompt_number": 181,
        "prompt": "erstelle einen interaktiven Lebenslauf-Portfolio-Builder mit Export - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sektions-Editor Werdegang/Ausbildung/Skills per Drag&Drop sortierbar, Mehrere-Vorlagen-Design-Auswahl klassisch/modern/kreativ, Skill-Level-Visualisierung Balken oder Sterne (ApexCharts), Live-Vorschau während Bearbeitung Split-Screen, Zeitleisten-Ansicht Karriereverlauf (D3.js), Mehrsprachigkeits-Umschalter DE/EN Lebenslauf, ATS-Freundlichkeits-Check einfache Struktur-Warnung, PDF-Export druckfertig, Foto-Upload-Platzhalter mit Zuschnitt, Referenzen-Sektion optional ein-/ausblendbar, Versionsverwaltung mehrere Lebenslauf-Varianten je Bewerbung, GSAP Sektions-Einblend-Animationen - USE CASE: Bewerber erstellen professionelle Lebensläufe ohne Word-Formatierungs-Frust, Karriereberater unterstützen Klienten mit einem wiederverwendbaren Tool für mehrere Bewerbungsvarianten.",
        "overview": "erstelle einen interaktiven Lebenslauf-Portfolio-Builder mit Export",
        "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "category_number": 9,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Bewerber erstellen professionelle Lebensläufe ohne Word-Formatierungs-Frust, Karriereberater unterstützen Klienten mit einem wiederverwendbaren Tool für mehrere Bewerbungsvarianten.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-182",
        "title": "entwickle einen Bewerbungs-Tracker mit Status-Pipeline Kanban",
        "prompt_number": 182,
        "prompt": "entwickle einen Bewerbungs-Tracker mit Status-Pipeline Kanban - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kanban-Board Beworben/Interview/Angebot/Abgelehnt Drag&Drop, Bewerbungs-Karten mit Firma/Position/Datum/Notizen, Erinnerungs-Funktion Follow-Up-Termine, Erfolgsquote-Dashboard Conversion pro Stage (ApexCharts Funnel), Gehaltsverhandlungs-Notizen pro Bewerbung, Kontaktperson-Verwaltung pro Firma, Dokumenten-Anhang Anschreiben/Lebenslauf-Version pro Bewerbung, Zeitstrahl-Ansicht aller Bewerbungsaktivitäten, Statistik nach Branche/Quelle woher Bewerbung kam, Interview-Vorbereitungs-Checkliste pro Termin, Export Bewerbungsübersicht als Report, GSAP Karten-Drag-Animationen - USE CASE: Jobsuchende behalten bei parallelen Bewerbungen den Überblick statt Excel-Chaos, Karriereberatungen zeigen Klienten transparent ihre Bewerbungs-Erfolgsquote nach Phase.",
        "overview": "entwickle einen Bewerbungs-Tracker mit Status-Pipeline Kanban",
        "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "category_number": 9,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Jobsuchende behalten bei parallelen Bewerbungen den Überblick statt Excel-Chaos, Karriereberatungen zeigen Klienten transparent ihre Bewerbungs-Erfolgsquote nach Phase.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-183",
        "title": "programmiere einen persönlichen Haushaltsbuch-Planer mit Kategorien-Analyse",
        "prompt_number": 183,
        "prompt": "programmiere einen persönlichen Haushaltsbuch-Planer mit Kategorien-Analyse - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Einnahmen-/Ausgaben-Erfassung mit Kategorien, Monatsvergleich-Chart über 12 Monate (ApexCharts Line), 50/30/20-Regel-Visualisierung, Wiederkehrende-Ausgaben-Verwaltung Abos/Miete automatisch, Sparquote-Tracker mit Zielvorgabe, Kategorien-Donut Ausgabenverteilung, Jahresrückblick-Generator automatisch, Budget-Warnung bei Kategorie-Überschreitung, CSV-Import von Kontoauszügen Mock-Format, Haushaltsbuch-Vergleich mehrere Jahre nebeneinander, Export Steuerrelevante-Ausgaben-Liste, GSAP Kategorien-Balken-Animationen - USE CASE: Privathaushalte gewinnen Kontrolle über Ausgaben ohne Banking-App-Abo, Paare führen ein gemeinsames transparentes Haushaltsbuch mit klarer Kategorienübersicht.",
        "overview": "programmiere einen persönlichen Haushaltsbuch-Planer mit Kategorien-Analyse",
        "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "category_number": 9,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Privathaushalte gewinnen Kontrolle über Ausgaben ohne Banking-App-Abo, Paare führen ein gemeinsames transparentes Haushaltsbuch mit klarer Kategorienübersicht.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-184",
        "title": "baue eine Zeugnis-Zertifikats-Sammlung digitaler Ordner mit Ablauf-Erinnerung",
        "prompt_number": 184,
        "prompt": "baue eine Zeugnis-Zertifikats-Sammlung digitaler Ordner mit Ablauf-Erinnerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokumenten-Kategorien Zeugnisse/Zertifikate/Lizenzen mit Upload-Platzhalter, Ablaufdatum-Tracking mit Warnfarbe bei Nähe zum Verfall, Erinnerungs-Kalender Weiterbildungspflichten, Kategorisierung nach Gültigkeitsbereich Fachbereich, Verlaufs-Historie erneuerte Zertifikate chronologisch, Volltextsuche über Dokumenttitel und Tags, Statistik-Dashboard gültig/bald-ablaufend/abgelaufen (ApexCharts Donut), Verknüpfung zu Anbieter für Erneuerung, Export Zertifikats-Übersicht für Bewerbungen, Sicherheits-Hinweis zur Verschlüsselung sensibler Dokumente, Mehrere-Personen-Verwaltung Familie, GSAP Ablauf-Warn-Animationen - USE CASE: Berufstätige mit Pflichtfortbildungen behalten Ablauffristen im Blick ohne Excel-Liste, Personalabteilungen dokumentieren Mitarbeiter-Qualifikationen strukturiert und fristgerecht.",
        "overview": "baue eine Zeugnis-Zertifikats-Sammlung digitaler Ordner mit Ablauf-Erinnerung",
        "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "category_number": 9,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Berufstätige mit Pflichtfortbildungen behalten Ablauffristen im Blick ohne Excel-Liste, Personalabteilungen dokumentieren Mitarbeiter-Qualifikationen strukturiert und fristgerecht.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-185",
        "title": "erstelle einen Karriereweg-Planer mit Gehalts-Benchmark",
        "prompt_number": 185,
        "prompt": "erstelle einen Karriereweg-Planer mit Gehalts-Benchmark - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karrierepfad-Visualisierung mögliche nächste Positionen (D3.js Baumdiagramm), Gehalts-Benchmark-Vergleich nach Position/Branche/Region (ApexCharts Balken), Skill-Gap-Analyse aktuelle vs Zielposition-Anforderungen, Weiterbildungs-Empfehlungen zur Erreichung des Ziels, Zeithorizont-Rechner geschätzte Jahre bis Zielposition, Netzwerk-Kontakte-Tracker relevante Personen pro Zielposition, Branchenwechsel-Impact-Simulator, Verhandlungs-Vorbereitung Gehaltsforderung-Rechner, Karriere-Meilenstein-Tracker erreichte Etappen, Vergleich mehrerer Karrierepfade Side-by-Side, Export Karriereplan als PDF, GSAP Pfad-Fortschritts-Animationen - USE CASE: Berufstätige planen langfristige Karriereschritte mit realistischen Gehaltserwartungen, Personalentwicklungs-Teams unterstützen Mitarbeiter mit strukturierten Entwicklungspfaden.",
        "overview": "erstelle einen Karriereweg-Planer mit Gehalts-Benchmark",
        "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "category_number": 9,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Berufstätige planen langfristige Karriereschritte mit realistischen Gehaltserwartungen, Personalentwicklungs-Teams unterstützen Mitarbeiter mit strukturierten Entwicklungspfaden.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-186",
        "title": "entwickle einen Vertrags-Dokumenten-Vault mit Ablauf-Kalender",
        "prompt_number": 186,
        "prompt": "entwickle einen Vertrags-Dokumenten-Vault mit Ablauf-Kalender - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertrags-Kategorien Miete/Versicherung/Abo/Arbeitsvertrag mit Upload-Platzhalter, Kündigungsfristen-Kalender mit automatischer Erinnerung, Vertragswert-Übersicht monatliche Gesamtbelastung (ApexCharts Donut), Verlängerungs-Status automatisch/manuell gekennzeichnet, Kündigungsfristen-Rechner rückwärts vom Ablaufdatum, Dokumenten-Volltextsuche über Vertragsnamen, Vertragspartner-Verwaltung mit Kontaktdaten, Preishistorie bei Vertragsänderungen, Sicherheits-Hinweis Verschlüsselung sensibler Dokumente, Export Vertragsübersicht als Excel-kompatibles CSV, Erinnerungs-Vorlaufzeit individuell einstellbar, GSAP Ablauf-Countdown-Animationen - USE CASE: Privatpersonen verpassen keine Kündigungsfristen mehr für Abos und Verträge, Kleinunternehmer behalten alle Geschäftsverträge mit Fristen zentral im Blick.",
        "overview": "entwickle einen Vertrags-Dokumenten-Vault mit Ablauf-Kalender",
        "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "category_number": 9,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Privatpersonen verpassen keine Kündigungsfristen mehr für Abos und Verträge, Kleinunternehmer behalten alle Geschäftsverträge mit Fristen zentral im Blick.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-187",
        "title": "baue einen Meeting-Notizen & Aufgaben-Tracker mit Team-Zuweisung",
        "prompt_number": 187,
        "prompt": "baue einen Meeting-Notizen & Aufgaben-Tracker mit Team-Zuweisung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Meeting-Vorlagen mit Agenda-Struktur, Live-Notizen-Editor während Meeting, Automatische-Aufgaben-Extraktion aus Notizen zu Todo-Liste, Verantwortlichkeits-Zuweisung pro Aufgabe mit Fälligkeitsdatum, Meeting-Historie durchsuchbar nach Thema, Follow-Up-Status-Tracking offene Punkte aus letztem Meeting, Anwesenheits-Liste pro Meeting, Entscheidungs-Log wichtige Beschlüsse hervorgehoben, Aufgaben-Fortschritts-Dashboard Team-weit (ApexCharts Kanban-Style), Wiederkehrende-Meeting-Vorlagen, Export Meeting-Protokoll als PDF, GSAP Aufgaben-Erstellungs-Animationen - USE CASE: Teams dokumentieren Meetings strukturiert statt in verstreuten Notiz-Apps, Projektleiter verfolgen aus Meetings entstandene Aufgaben lückenlos bis zur Erledigung.",
        "overview": "baue einen Meeting-Notizen & Aufgaben-Tracker mit Team-Zuweisung",
        "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "category_number": 9,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Teams dokumentieren Meetings strukturiert statt in verstreuten Notiz-Apps, Projektleiter verfolgen aus Meetings entstandene Aufgaben lückenlos bis zur Erledigung.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-188",
        "title": "erstelle einen Freelancer-Rechnungs & Angebots-Generator",
        "prompt_number": 188,
        "prompt": "erstelle einen Freelancer-Rechnungs & Angebots-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rechnungs-Editor mit Positionen/Mengen/Preisen automatischer Summenberechnung, Angebots-zu-Rechnung-Konvertierung, Kunden-Datenbank mit Kontaktdaten, Umsatzsteuer-Berechnung Kleinunternehmerregelung-Option, Zahlungsstatus-Tracking offen/bezahlt/überfällig, Umsatz-Dashboard nach Monat/Kunde (ApexCharts Balken), Mahnwesen-Vorlagen bei Zahlungsverzug, Wiederkehrende-Rechnungen für Abo-Kunden, Ausgaben-Erfassung für Gewinnermittlung, Steuervorauszahlungs-Schätzer, Export Rechnungen als PDF mit eigenem Branding, GSAP Rechnungs-Erstellungs-Animationen - USE CASE: Freiberufler erstellen professionelle Rechnungen ohne teure Buchhaltungssoftware, Kleinunternehmer behalten Umsatz und offene Forderungen übersichtlich im Blick.",
        "overview": "erstelle einen Freelancer-Rechnungs & Angebots-Generator",
        "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "category_number": 9,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Freiberufler erstellen professionelle Rechnungen ohne teure Buchhaltungssoftware, Kleinunternehmer behalten Umsatz und offene Forderungen übersichtlich im Blick.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-189",
        "title": "entwickle einen persönlichen OKR-Ziel-Tracker mit Reflexions-Journal",
        "prompt_number": 189,
        "prompt": "entwickle einen persönlichen OKR-Ziel-Tracker mit Reflexions-Journal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ziel-Hierarchie Jahres-/Quartals-/Wochenziele verknüpft (D3.js), Fortschritts-Tracking pro Key Result mit Prozentanzeige, Wöchentliches-Reflexions-Journal was lief gut/schlecht, Gewohnheits-Tracker tägliche Habits mit Streak-Anzeige (ApexCharts Kalender-Heatmap), Zielkategorien Beruf/Gesundheit/Beziehungen/Finanzen, Motivations-Zitate-Rotation, Rückblick-Generator Monats-/Jahresrückblick automatisch, Zielkonflikt-Erkennung wenn Ziele sich zeitlich überschneiden, Erinnerungs-System Check-in-Rhythmus wöchentlich, Fortschritts-Visualisierung Gesamtübersicht aller Ziele, Export Journal als PDF, GSAP Fortschritts-Ring-Animationen - USE CASE: Menschen mit Selbstoptimierungs-Anspruch verfolgen persönliche Ziele strukturiert wie in Unternehmen, Coaches nutzen das Tool als Vorlage für Klienten-Zielvereinbarungen.",
        "overview": "entwickle einen persönlichen OKR-Ziel-Tracker mit Reflexions-Journal",
        "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "category_number": 9,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Menschen mit Selbstoptimierungs-Anspruch verfolgen persönliche Ziele strukturiert wie in Unternehmen, Coaches nutzen das Tool als Vorlage für Klienten-Zielvereinbarungen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-190",
        "title": "baue ein Networking-Kontakt-CRM für Privatpersonen",
        "prompt_number": 190,
        "prompt": "baue ein Networking-Kontakt-CRM für Privatpersonen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kontakt-Datenbank mit Kategorien beruflich/privat/mentoren, Letzter-Kontakt-Tracker mit Erinnerung bei zu langer Funkstille, Beziehungs-Stärke-Score manuell oder aus Interaktionshäufigkeit, Notizen pro Kontakt Gesprächsthemen/Interessen, Netzwerk-Graph-Visualisierung Verbindungen zwischen Kontakten (D3.js), Ereignis-Log Treffen/Anrufe/Nachrichten chronologisch, Geburtstags-/Jubiläums-Erinnerungen, Gegenseitige-Gefallen-Tracker wer schuldet wem was, Tag-System für Interessen/Skills der Kontakte, Kontakt-Empfehlungs-Score wen sollte ich als nächstes kontaktieren, Export Kontaktliste als vCard-kompatibles CSV, GSAP Netzwerk-Graph-Animationen - USE CASE: Networking-affine Menschen pflegen Beziehungen bewusst statt sie einschlafen zu lassen, Selbständige verwalten ihr berufliches Netzwerk ohne teures CRM-Tool. ## Kategorie 10: MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "overview": "baue ein Networking-Kontakt-CRM für Privatpersonen",
        "category": "BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS",
        "category_number": 9,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Networking-affine Menschen pflegen Beziehungen bewusst statt sie einschlafen zu lassen, Selbständige verwalten ihr berufliches Netzwerk ohne teures CRM-Tool. ## Kategorie 10: MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-191",
        "title": "erstelle ein Personalisierbares Dashboard-Baukasten Drag&Drop-Widgets",
        "prompt_number": 191,
        "prompt": "erstelle ein Personalisierbares Dashboard-Baukasten Drag&Drop-Widgets - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Widget-Bibliothek Chart/Liste/Kalender/Notiz frei platzierbar, Drag&Drop-Grid-Layout mit Größenänderung, Widget-Konfiguration pro Instanz eigene Datenquelle-Mock, Mehrere-Dashboard-Profile für unterschiedliche Zwecke, Theme-Editor Farben/Schriftart anpassbar, Layout-Vorlagen vordefiniert für Schnellstart, Widget-Verbindungs-Logik ein Widget filtert ein anderes, Export/Import Dashboard-Konfiguration als JSON, Vollbild-Präsentations-Modus pro Dashboard, Auto-Refresh-Intervall pro Widget einstellbar, Responsive-Verhalten-Vorschau Mobile/Tablet/Desktop, GSAP Widget-Platzierungs-Animationen - USE CASE: Teams bauen sich individuelle Übersichts-Dashboards ohne Entwickler-Ressourcen, Power-User konsolidieren verschiedene Datenquellen in einer persönlichen Ansicht.",
        "overview": "erstelle ein Personalisierbares Dashboard-Baukasten Drag&Drop-Widgets",
        "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "category_number": 10,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Teams bauen sich individuelle Übersichts-Dashboards ohne Entwickler-Ressourcen, Power-User konsolidieren verschiedene Datenquellen in einer persönlichen Ansicht.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-192",
        "title": "entwickle einen Windows-Desktop-Style-App-Launcher mit Fenster-Management",
        "prompt_number": 192,
        "prompt": "entwickle einen Windows-Desktop-Style-App-Launcher mit Fenster-Management - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Desktop-Icon-Grid mit Kategorien-Ordnern, Taskleiste mit offenen Fenstern und Vorschau, Draggable-und-Resizable-Fenster mehrere gleichzeitig offen, Startmenü mit Suchfunktion über alle Apps, Fenster-Snap-Funktion an Bildschirmränder, Minimieren/Maximieren/Schließen pro Fenster, Desktop-Widgets Uhr/Wetter-Mockup, Rechtsklick-Kontextmenü auf Icons, Mehrere-virtuelle-Desktops-Umschalter, Fenster-Stapel-Verwaltung Z-Index korrekt, Anpassbares-Hintergrundbild, GSAP Fenster-Öffnen-Schließen-Animationen - USE CASE: Portale präsentieren viele Einzel-Apps in einer vertrauten Desktop-Metapher statt einer langen Linkliste, Interne Tool-Sammlungen wirken wie eine zusammenhängende Softwaresuite statt loser HTML-Dateien.",
        "overview": "entwickle einen Windows-Desktop-Style-App-Launcher mit Fenster-Management",
        "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "category_number": 10,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Portale präsentieren viele Einzel-Apps in einer vertrauten Desktop-Metapher statt einer langen Linkliste, Interne Tool-Sammlungen wirken wie eine zusammenhängende Softwaresuite statt loser HTML-Dateien.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-193",
        "title": "programmiere ein paywall-geschütztes Multi-App-Portal-Cockpit",
        "prompt_number": 193,
        "prompt": "programmiere ein paywall-geschütztes Multi-App-Portal-Cockpit - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Login-Screen mit Zugangscode-Eingabe UND deutlichem Hinweis dass echte Validierung serverseitig erfolgen muss, Gastmodus mit eingeschränktem Funktionsumfang, App-Sidebar mit Icon-Liste mehrerer eingebundener Tools, Iframe-Hauptbereich mit Lade-Status-Anzeige, Verbindungsstatus-Indikator pro eingebettete App, Nutzungsstatistik welche Apps wie oft geöffnet (ApexCharts Balken), Zugriffsstufen-Konzept Basic/Premium als UI-Mockup, Onboarding-Tour für Erstnutzer, Feedback-Formular pro App, Favoriten-Sortierung häufig genutzter Apps nach oben, Abmelde-Funktion mit Sitzungs-Timeout-Hinweis, GSAP Sidebar-Wechsel-Animationen - USE CASE: Anbieter bündeln mehrere kostenpflichtige Tools hinter einem gemeinsamen Zugang. WICHTIG: dieser Prompt ist ausdrücklich nur für die UI gedacht — echte Zahlungs-/Zugangsvalidierung gehört serverseitig, niemals als reiner Client-Check umgesetzt (siehe SECURITY-FINDINGS.md für ein Negativbeispiel aus dem eigenen Stack).",
        "overview": "programmiere ein paywall-geschütztes Multi-App-Portal-Cockpit",
        "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "category_number": 10,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Anbieter bündeln mehrere kostenpflichtige Tools hinter einem gemeinsamen Zugang. WICHTIG: dieser Prompt ist ausdrücklich nur für die UI gedacht — echte Zahlungs-/Zugangsvalidierung gehört serverseitig, niemals als reiner Client-Check umgesetzt (siehe SECURITY-FINDINGS.md für ein Negativbeispiel aus dem eigenen Stack).",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-194",
        "title": "baue eine zentrale Such & Quick-Link-Übersicht für Tool-Sammlungen",
        "prompt_number": 194,
        "prompt": "baue eine zentrale Such & Quick-Link-Übersicht für Tool-Sammlungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Live-Suchfeld filtert Kategorien und Einzeltools sofort, Kategorie-Kacheln mit Farbcodierung und Statistik-Badges, Kürzlich-genutzt-Verlauf, Meistgenutzt-Ranking basierend auf Klicks (ApexCharts Balken), Tag-basierte-Filterung zusätzlich zu Kategorien, Neu-hinzugefügt-Kennzeichnung für frische Einträge, Kaputte-Links-Warnindikator falls Ziel nicht erreichbar Mock, Vorschau-Tooltip bei Hover über Eintrag, Eigene-Sammlungen anlegen kuratierte Unterlisten, Keyboard-Navigation Pfeiltasten und Enter, Statistik-Dashboard Gesamtanzahl Tools pro Kategorie, GSAP Kachel-Such-Filter-Animationen - USE CASE: Große Archiv-Sammlungen mit hunderten Einzel-Apps werden durch Live-Suche statt endlosem Scrollen erschlossen, Teams finden intern gebaute Tools schnell wieder statt sie zu vergessen.",
        "overview": "baue eine zentrale Such & Quick-Link-Übersicht für Tool-Sammlungen",
        "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "category_number": 10,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Große Archiv-Sammlungen mit hunderten Einzel-Apps werden durch Live-Suche statt endlosem Scrollen erschlossen, Teams finden intern gebaute Tools schnell wieder statt sie zu vergessen.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-195",
        "title": "erstelle ein rollenbasiertes Team-Portal mit Berechtigungs-Stufen",
        "prompt_number": 195,
        "prompt": "erstelle ein rollenbasiertes Team-Portal mit Berechtigungs-Stufen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rollen-Auswahl-Mockup Guest/Member/Admin mit unterschiedlicher Sidebar, Berechtigungs-Matrix-Ansicht wer darf was (D3.js Tabelle), Admin-Bereich Nutzerverwaltung-Mockup, Aktivitäts-Log wer hat wann was geöffnet, Rollenwechsel-Simulator zum Testen verschiedener Ansichten, Zugriffs-angefragt-Workflow Mock Freigabe-Prozess, Team-Verzeichnis mit Rollen-Kennzeichnung, Benachrichtigungs-Center rollenspezifische Hinweise, Onboarding-Checkliste je nach Rolle unterschiedlich, Sicherheits-Hinweis-Panel Berechtigungskonzept erklärt, Export Berechtigungs-Übersicht für Dokumentation, GSAP Rollenwechsel-Übergangs-Animationen - USE CASE: Interne Tool-Portale demonstrieren ein rollenbasiertes Zugriffskonzept vor echter Backend-Implementierung, Teams dokumentieren Berechtigungsstrukturen visuell nachvollziehbar für Audits.",
        "overview": "erstelle ein rollenbasiertes Team-Portal mit Berechtigungs-Stufen",
        "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "category_number": 10,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Interne Tool-Portale demonstrieren ein rollenbasiertes Zugriffskonzept vor echter Backend-Implementierung, Teams dokumentieren Berechtigungsstrukturen visuell nachvollziehbar für Audits.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-196",
        "title": "entwickle ein Iframe-Aggregator-Cockpit für externe Web-Apps",
        "prompt_number": 196,
        "prompt": "entwickle ein Iframe-Aggregator-Cockpit für externe Web-Apps - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Tab-Iframe-Ansicht mehrere externe Tools gleichzeitig eingebettet, Tab-Leiste mit Favicon und Titel pro eingebetteter App, Split-Screen-Modus zwei Apps nebeneinander, Lade-Fehler-Erkennung mit Fallback-Hinweis bei blockiertem Embedding, Quick-Switch-Tastenkombination zwischen Tabs, Verlaufs-Liste zuletzt geöffneter externer Apps, Notiz-Overlay um Beobachtungen während Nutzung festzuhalten, Vollbild-Fokus-Modus einzelne App, Bookmark-Leiste favorisierte externe Tools, Verbindungsqualitäts-Indikator pro eingebetteter App Mock, Export Sitzungs-Notizen, GSAP Tab-Wechsel-Animationen - USE CASE: Nutzer bündeln verstreute externe Web-Tools in einer gemeinsamen Arbeitsoberfläche, Analysten vergleichen mehrere Datenquellen nebeneinander ohne Tab-Chaos im Browser.",
        "overview": "entwickle ein Iframe-Aggregator-Cockpit für externe Web-Apps",
        "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "category_number": 10,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Nutzer bündeln verstreute externe Web-Tools in einer gemeinsamen Arbeitsoberfläche, Analysten vergleichen mehrere Datenquellen nebeneinander ohne Tab-Chaos im Browser.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-197",
        "title": "baue eine Bookmark & Tool-Bibliothek mit Tag-basierter Suche",
        "prompt_number": 197,
        "prompt": "baue eine Bookmark & Tool-Bibliothek mit Tag-basierter Suche - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bookmark-Erfassung mit Titel/URL/Beschreibung/Tags, Tag-Cloud-Ansicht Größe nach Häufigkeit (D3.js), Multi-Tag-Filter kombinierbar UND/ODER-Logik, Ordner-Struktur zusätzlich zu Tags, Duplikat-Erkennung ähnliche URLs, Tote-Links-Checker-Mockup periodische Prüfung, Import aus Browser-Bookmark-Export-Datei, Nutzungsstatistik meistgeklickte Bookmarks (ApexCharts Balken), Team-Sharing-Mockup gemeinsame Bibliothek, Schnellzugriffs-Leiste Top-10-Favoriten, Suchverlauf für wiederkehrende Suchen, Export Bibliothek als HTML-Bookmark-Datei, GSAP Tag-Cloud-Animationen - USE CASE: Menschen mit hunderten Lesezeichen organisieren diese endlich durchsuchbar statt in unübersichtlichen Browser-Ordnern, Teams teilen eine kuratierte Tool- und Ressourcen-Bibliothek zentral.",
        "overview": "baue eine Bookmark & Tool-Bibliothek mit Tag-basierter Suche",
        "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "category_number": 10,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Menschen mit hunderten Lesezeichen organisieren diese endlich durchsuchbar statt in unübersichtlichen Browser-Ordnern, Teams teilen eine kuratierte Tool- und Ressourcen-Bibliothek zentral.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-198",
        "title": "erstelle ein Status & Health-Monitor-Dashboard für mehrere Sub-Apps",
        "prompt_number": 198,
        "prompt": "erstelle ein Status & Health-Monitor-Dashboard für mehrere Sub-Apps - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: App-Liste mit Status-Ampel online/langsam/offline Mock-Simulation, Uptime-Historie-Chart pro App letzte 30 Tage (ApexCharts Balken), Antwortzeit-Trend pro App (D3.js Sparkline), Incident-Log vergangene Ausfälle mit Dauer, Abhängigkeits-Graph welche App braucht welche andere (D3.js), Alert-Konfiguration-Mockup bei Statusänderung, Wartungsfenster-Ankündigungs-Banner, Gesamt-Gesundheits-Score aller Apps kombiniert (ApexCharts Gauge), Verantwortlichkeits-Zuweisung pro App wer ist zuständig, Statusseite-Ansicht öffentlich vs intern, Export Incident-Report, GSAP Status-Wechsel-Puls-Animationen - USE CASE: Betreiber großer HTML-App-Sammlungen behalten Überblick welche Tools funktionieren, Teams kommunizieren Ausfälle transparent an Nutzer über eine zentrale Statusseite.",
        "overview": "erstelle ein Status & Health-Monitor-Dashboard für mehrere Sub-Apps",
        "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "category_number": 10,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Betreiber großer HTML-App-Sammlungen behalten Überblick welche Tools funktionieren, Teams kommunizieren Ausfälle transparent an Nutzer über eine zentrale Statusseite.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-199",
        "title": "entwickle eine White-Label-Portal-Vorlage mit Theme-Switcher",
        "prompt_number": 199,
        "prompt": "entwickle eine White-Label-Portal-Vorlage mit Theme-Switcher - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Theme-Editor Primärfarbe/Logo/Schriftart live anpassbar, Vorschau-Modus Änderungen sofort sichtbar, Mehrere-Marken-Profile speichern und wechseln, Vordefinierte-Theme-Vorlagen als Startpunkt, Komponenten-Bibliothek Buttons/Karten/Formulare im gewählten Theme, Export Theme als CSS-Variablen-Datei, Kontrast-Check-Warnung bei schlechter Lesbarkeit automatisch, Dark-Mode-Variante pro Theme automatisch generiert, Responsive-Vorschau verschiedene Bildschirmgrößen, Versionshistorie Theme-Änderungen mit Rollback, Screenshot-Export für Freigabe-Prozesse, GSAP Theme-Wechsel-Übergangs-Animationen - USE CASE: Agenturen liefern White-Label-Portale für mehrere Kunden aus einer gemeinsamen Codebasis, Marken passen ein bestehendes Portal-Grundgerüst schnell an eigenes Corporate Design an.",
        "overview": "entwickle eine White-Label-Portal-Vorlage mit Theme-Switcher",
        "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "category_number": 10,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Agenturen liefern White-Label-Portale für mehrere Kunden aus einer gemeinsamen Codebasis, Marken passen ein bestehendes Portal-Grundgerüst schnell an eigenes Corporate Design an.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "stack-100-prompts:prompt-200",
        "title": "programmiere ein Onboarding-Tour-Guide-Overlay-System für Multi-App-Portale",
        "prompt_number": 200,
        "prompt": "programmiere ein Onboarding-Tour-Guide-Overlay-System für Multi-App-Portale - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schritt-für-Schritt-Tour-Overlay mit Spotlight-Effekt auf UI-Elemente, Tour-Editor um eigene Touren für verschiedene Nutzergruppen zu erstellen, Fortschritts-Anzeige Schritt X von Y, Überspringen-und-Später-Fortsetzen-Option, Kontextsensitive-Tooltips bei Erstbesuch einzelner Bereiche, Tour-Abschluss-Statistik wie viele Nutzer komplett durchlaufen (ApexCharts Funnel), Mehrere-Touren-Bibliothek je nach Feature-Bereich, Wiederholung-Anfordern-Button falls Nutzer Tour nochmal sehen will, Video-Platzhalter-Einbindung pro Schritt optional, Feedback-Frage am Tour-Ende war das hilfreich, Mehrsprachigkeit der Tour-Texte, GSAP Spotlight-Übergangs-Animationen - USE CASE: Neue Nutzer komplexer Multi-App-Portale finden sich durch geführte Touren schneller zurecht, Produktteams reduzieren Support-Anfragen durch proaktive In-App-Erklärungen. ## Hinweis Bewusst nicht abgedeckt: 11-data-exports-assets und 99-uncategorized aus dem HTML-MD-EXPORT-Katalog (zu klein/uneinheitlich für eine eigene 10er-Sektion). `batches.zip` (BIZ/CREA/CYBER/EDU/...-CSVs) ist ein separates KI-Bild-Generierungs-Batch, kein HTML-App-Batch — anderes Format, eigene Pipeline, hier nicht mitkonvertiert.",
        "overview": "programmiere ein Onboarding-Tour-Guide-Overlay-System für Multi-App-Portale",
        "category": "MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS",
        "category_number": 10,
        "cluster": "Cross-Sektor / Restlicher Stack",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "ai-agents",
          "trading",
          "dev-tools",
          "news",
          "travel",
          "sports",
          "media",
          "business",
          "portals"
        ],
        "use_case": "Neue Nutzer komplexer Multi-App-Portale finden sich durch geführte Touren schneller zurecht, Produktteams reduzieren Support-Anfragen durch proaktive In-App-Erklärungen. ## Hinweis Bewusst nicht abgedeckt: 11-data-exports-assets und 99-uncategorized aus dem HTML-MD-EXPORT-Katalog (zu klein/uneinheitlich für eine eigene 10er-Sektion). `batches.zip` (BIZ/CREA/CYBER/EDU/...-CSVs) ist ein separates KI-Bild-Generierungs-Batch, kein HTML-App-Batch — anderes Format, eigene Pipeline, hier nicht mitkonvertiert.",
        "source": "stack-100-prompts.md",
        "source_path": "stack-100-prompts.md",
        "library_title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-001",
        "title": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard",
        "prompt_number": 1,
        "prompt": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 360° Finanzübersicht mit Einnahmen/Ausgaben Sankey Diagram (D3.js), Vermögensaufbau Timeline 30 Jahre (ApexCharts Area Chart), Cashflow-Waterfall Monatlich (ApexCharts Waterfall), Schuldenabbau-Simulator mit Snowball vs Avalanche Vergleich, Notgroschen-Rechner 3-6 Monate Expenses, Asset Allocation Pie Chart mit Rebalancing Alerts, Steuerbelastung Visualizer progressive Steuersätze, Sparziel-Tracker mit Meilenstein-Badges, PDF-Export Finanzplan DVAG-Branding, Offline-Modus IndexedDB, Dark Mode, GSAP Page Transitions, Mobile Touch Gestures - USE CASE: DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus",
        "overview": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-002",
        "title": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced",
        "prompt_number": 2,
        "prompt": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budget-Kategorien Manager (Housing, Transport, Food, Insurance, Entertainment etc.), Ausgaben-Tracking mit Chart.js Donut Charts, 50/30/20 Rule Visualizer (Needs/Wants/Savings), Trendanalyse Monatlich/Jährlich (ApexCharts Line Charts), Budgetüberschreitungs-Alerts mit Push Notifications API, Vergleich zu Durchschnitt nach Haushaltsgröße und Region, Variable vs Fixed Expenses Breakdown, Saisonale Ausgaben-Muster Heatmap (D3.js), Einsparungspotenzial-Finder AI-basiert, CSV Import/Export, GSAP Animations, Responsive Mobile-First - USE CASE: Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights",
        "overview": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-003",
        "title": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard",
        "prompt_number": 3,
        "prompt": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multiple Income Streams Tracker (W2, Freelance, Dividends, Rental, Business), Income Diversification Score Calculator, Passive vs Active Income Ratio (ApexCharts Radial Bar), Income Growth Projection 10 Jahre (D3.js Multi-Line Chart), Einkommensstabilität-Analyse Volatility Index, Tax Impact Calculator per Income Stream, Side Hustle ROI Analyzer, Income Funnel Visualizer (D3.js Sankey), Monatliche Income Distribution Heatmap, Jahresvergleich Income Mix, GSAP Counter Animations, PWA Offline Support - USE CASE: Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency",
        "overview": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-004",
        "title": "baue ein DVAG Lebensstandard-Planer Retirement",
        "prompt_number": 4,
        "prompt": "baue ein DVAG Lebensstandard-Planer Retirement - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Retirement Lifestyle Calculator, Inflationsanpassung 2-3% jährlich automatisch, Healthcare Cost Projector im Alter, Travel & Leisure Budget Planner, Housing Downsizing Calculator, Longevity Risk Analyzer bis 100 Jahre, Social Security Timing Optimizer (früh vs spät), Renten-Lücken-Rechner mit Visualization (ApexCharts Gap Chart), Lifestyle Inflation Tracker, Bucket Strategy Planner (Short/Mid/Long Term), Geographic Arbitrage Calculator Umzug Low-Cost Areas, GSAP Timeline Scroll Animations - USE CASE: Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken",
        "overview": "baue ein DVAG Lebensstandard-Planer Retirement",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-005",
        "title": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation",
        "prompt_number": 5,
        "prompt": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Family Tree Visualizer mit Finanzzielen (D3.js Hierarchical Layout), Bildungsfinanzierung-Calculator pro Kind (College/Uni Costs), Generational Wealth Transfer Simulator, Erbschaftssteuer-Optimierer, Life Insurance Needs Calculator ganze Familie, Notfallplan Financial Emergency Kit, Income Loss Protection Analysis, Family Budget Consolidator alle Haushaltsmitgliber, Kids Financial Education Tracker Taschengeld & Sparen, Großeltern zu Enkel Transfer 529 Plans, GSAP Family Tree Animations, Collaborative Editing Multi-User - USE CASE: Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert",
        "overview": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-006",
        "title": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit",
        "prompt_number": 6,
        "prompt": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Nettovermögen-Tracker Assets minus Liabilities (ApexCharts Gauge), Asset Breakdown Real Estate/Stocks/Bonds/Cash/Crypto/Business (D3.js Treemap), Liability Details Mortgages/Student Loans/Credit Cards/Car Loans, Net Worth Timeline Historisch & Projektiert (ApexCharts Combo Chart), Debt-to-Asset Ratio Calculator, Liquidity Ratio Analyzer, Vermögensstruktur nach Risiko Low/Medium/High, Rebalancing Recommendations, Tax-Loss Harvesting Opportunities, Estate Value for Inheritance Planning, GSAP Number Counter Animations, Auto-Refresh Dashboard - USE CASE: Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit",
        "overview": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-007",
        "title": "programmiere einen DVAG Notfall-Finanzplan Generator",
        "prompt_number": 7,
        "prompt": "programmiere einen DVAG Notfall-Finanzplan Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Emergency Fund Size Calculator 3-6-12 Monate, Job Loss Income Replacement Simulator, Medical Emergency Cost Estimator, Home Repair Emergency Fund, Auto Breakdown Reserve, Legal Emergency Fund, Income Continuity Plan bei Ausfall, Expense Cutting Roadmap Prioritized (D3.js Flow Diagram), Insurance Coverage Gap Analysis, Quick Access Liquidity Checker, Emergency Contact Financial Info Vault, Scenario Planner What-If Analysis, GSAP Alert Animations, Print Emergency Plan PDF - USE CASE: Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan",
        "overview": "programmiere einen DVAG Notfall-Finanzplan Generator",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-008",
        "title": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder",
        "prompt_number": 8,
        "prompt": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FI Number Calculator 25x Annual Expenses, Current vs Target Networth Gap (ApexCharts Progress Bar), Savings Rate Optimizer 10% bis 70%, Years to FI Calculator mit Compound Interest, Coast FI Calculator wann genug investiert, Barista FI Teil-Retirement Planner, Lean vs Fat FI Lifestyle Chooser, Geographic Arbitrage Impact, Side Hustle Addition Impact, Investment Return Scenarios 5%/7%/10% (D3.js Monte Carlo), Withdrawal Strategy 4% Rule vs Variable, Sequence of Returns Risk Visualizer, GSAP Milestone Animations - USE CASE: Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien",
        "overview": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-009",
        "title": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime",
        "prompt_number": 9,
        "prompt": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lifetime Earnings Calculator Start bis Rente, Gehaltserhöhungs-Projektion 3-5% jährlich, Career Path Comparator Angestellt vs Selbständig vs Beamter, Bildungsinvestition ROI Calculator Master/PhD vs Direkt arbeiten, Job-Wechsel Timing Optimizer maximale Earnings, Branchenwechsel Financial Impact, Geographic Location Salary Adjuster, Remote Work Income Opportunities, Skill Premium Calculator zusätzliche Qualifikationen, Promotion Impact Visualizer, Gender Pay Gap Analyzer, Career Plateau Identifier, GSAP Career Timeline Animations - USE CASE: Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings",
        "overview": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-010",
        "title": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification",
        "prompt_number": 10,
        "prompt": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multi-Goal Tracker (Notfonds, Altersvorsorge, Eigenheim, Auto, Urlaub, Bildung), Goal Priority Ranker Eisenhower Matrix (D3.js Scatter Plot), Progress Bars mit Milestone Badges, Savings Velocity Meter wie schnell zum Ziel (ApexCharts Speedometer), Goal Interdependency Visualizer (D3.js Network Graph), Motivation Boosters Achievement System, Social Sharing Progress optional, Automatic Savings Allocator zu Goals, Goal Conflict Resolver bei Budget-Limits, Celebration Animations GSAP bei erreichten Meilensteinen, Timeline View alle Goals (D3.js Gantt), Retrospective Goal Analysis was funktioniert - USE CASE: Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking ## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS",
        "overview": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking ## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-011",
        "title": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional",
        "prompt_number": 11,
        "prompt": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Portfolio Holdings Table sortable/filterable, Asset Allocation Donut Chart Aktien/Anleihen/Immobilien/Cash/Alternative (ApexCharts), Sector Allocation Breakdown (D3.js Treemap), Geographic Diversification World Map (D3.js Geo), Performance Attribution Analysis, Risk Metrics Volatility/Sharpe/Sortino/Max Drawdown, Correlation Matrix Heatmap Assets (D3.js), Rebalancing Calculator mit Band-Width 5%, Tax-Aware Rebalancing, Portfolio Overlap Detector bei mehreren Depots, Factor Exposure Value/Growth/Momentum, Benchmark Comparison S&P500/MSCI World, GSAP Chart Transitions - USE CASE: Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap",
        "overview": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-012",
        "title": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced",
        "prompt_number": 12,
        "prompt": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Selektor nach Kriterien TER/Tracking Difference/Volumen/Replizierung, Core-Satellite Strategie Builder 70/30 bis 90/10, Sparrate-Calculator monatlich/quartalsweise, Compound Interest Simulator 30 Jahre (ApexCharts Area Chart), Rebalancing Frequency Optimizer jährlich vs quartalsweise, Tax-Optimized ETF Selection Thesaurierend vs Ausschüttend Deutschland, Ausschüttungsrendite-Tracker, Cost Comparison Broker-Gebühren TER Impact, Index-Wahl MSCI World vs FTSE All-World vs S&P500, Small Cap Value Tilt Calculator, Emerging Markets Allocation, Dividend ETF vs Growth ETF Comparison, GSAP Scroll Animations - USE CASE: Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau",
        "overview": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-013",
        "title": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional",
        "prompt_number": 13,
        "prompt": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dividend Aristocrats Screener 25+ Jahre Erhöhungen, Dividend Yield vs Growth Matrix (D3.js Scatter Plot), Payout Ratio Safety Analyzer, Dividend Growth Rate Calculator CAGR, Forward Dividend Income Projector 10 Jahre (ApexCharts), Dividend Calendar Zahlungstermine (D3.js Timeline), DRIP Reinvestment Impact Calculator, Sector Diversification Dividends, International Dividend Stocks Withholding Tax, Dividend Tax Treatment Deutschland Teilfreistellung, Dividend Safety Score Composite, Yield on Cost Tracker, Monthly Dividend Income Builder, GSAP Dividend Payment Animations - USE CASE: Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus",
        "overview": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-014",
        "title": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse",
        "prompt_number": 14,
        "prompt": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Crypto Holdings Tracker BTC/ETH/Altcoins mit Live-Preisen Mock-API, Portfolio Allocation Pie Chart (ApexCharts), Volatility Tracker 30-Day Rolling (ApexCharts Candlestick), Crypto Correlation Matrix (D3.js Heatmap), Bitcoin Dominance Indicator, DCA Dollar-Cost-Averaging Calculator, Tax-Loss Harvesting Crypto Deutschland, Cold Wallet Allocation Empfehlung, Crypto Risk Score Volatility-Based, Altcoin Exposure Warnings, Stablecoin Reserve Optimizer, Crypto Fear & Greed Index Display, Blockchain Transaction Visualizer (D3.js Network), GSAP Price Change Animations - USE CASE: Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization",
        "overview": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-015",
        "title": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional",
        "prompt_number": 15,
        "prompt": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bond Ladder Visualizer 1-30 Jahre Laufzeiten (D3.js Gantt), Yield-to-Maturity Calculator, Duration & Convexity Analyzer, Interest Rate Risk Simulator Rising/Falling Rates, Credit Rating Breakdown AAA bis Junk (ApexCharts Stacked Bar), Municipal Bonds Tax-Equivalent Yield, Corporate Bonds vs Government Bonds Spread, Inflation-Protected TIPS Calculator, Callable Bonds Risk Analyzer, Bond Allocation nach Alter Glide Path, Coupon Payment Calendar, Bond Fund vs Individual Bonds Comparison, GSAP Bond Maturity Animations - USE CASE: Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield",
        "overview": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-016",
        "title": "entwickle ein DVAG Alternative-Investments-Dashboard",
        "prompt_number": 16,
        "prompt": "entwickle ein DVAG Alternative-Investments-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alternative Assets Tracker Gold/Commodities/Art/Wine/Collectibles, Real Estate Crowdfunding Portfolio, Private Equity Holdings, Peer-to-Peer Lending Returns, Correlation zu Traditional Assets (D3.js Heatmap), Liquidity Risk Analyzer Lock-Up Periods, Alternative Investment Allocation 5-20% Portfolio, Inflation Hedge Calculator Gold/Commodities, Vintage Performance Tracker Wine Investment, NFT Portfolio Tracker optional, Hedge Fund Allocation, Venture Capital Exposure, GSAP Alternative Asset Animations - USE CASE: Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio",
        "overview": "entwickle ein DVAG Alternative-Investments-Dashboard",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-017",
        "title": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced",
        "prompt_number": 17,
        "prompt": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Factor Exposure Analyzer Value/Growth/Momentum/Quality/Low Volatility/Size, Faktor-Prämien Historical Returns (ApexCharts Multi-Line), Portfolio Factor Loading (D3.js Radar Chart), Factor Timing Indicators, Multi-Factor Portfolio Builder, Factor Correlation Matrix, Smart Beta ETF Selector, Factor Concentration Risk, Value Spread Indicator günstig vs teuer, Momentum Ranking System, Quality Score Composite, Size Premium Small vs Large Cap, GSAP Factor Visualization Animations - USE CASE: Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns",
        "overview": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-018",
        "title": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization",
        "prompt_number": 18,
        "prompt": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Target Allocation Comparison (ApexCharts Radar), Drift Analyzer wie weit von Target (D3.js Bar Chart Deviation), Rebalancing Trade Calculator minimale Trades, Tax-Lot Optimizer Highest Cost Basis zuerst, Wash Sale Rule Checker, Capital Gains Impact Estimator Short vs Long-Term, Rebalancing Frequency Optimizer, Threshold-Based Rebalancing 5%/10%/20% Bands, Cash Flow Rebalancing mit neuen Beiträgen, Asset Location Optimizer Taxable vs Tax-Deferred, Transaction Cost Minimizer, Rebalancing History Tracker, GSAP Trade Animations - USE CASE: Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing",
        "overview": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-019",
        "title": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced",
        "prompt_number": 19,
        "prompt": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: DCA vs Lump Sum Comparison Historisch (ApexCharts Line Chart), Monte Carlo Simulation 1000 Runs (D3.js Distribution), Volatility Impact auf DCA, DCA Schedule Optimizer monatlich/wöchentlich/täglich, Market Timing Failure Visualizer, Bear Market DCA Advantage, Psychological Benefit Score DCA, Automated Investment Plan Builder, Cost Basis Tracking, DCA Performance verschiedene Assets, Scenario Planner Bull/Bear/Sideways Market, Historical Backtest S&P500 40 Jahre, GSAP DCA Purchase Animations - USE CASE: Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren",
        "overview": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-020",
        "title": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical",
        "prompt_number": 20,
        "prompt": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historical Factor Performance 1930-2024 (ApexCharts Multi-Line), Value Premium Tracker HML High-Minus-Low, Size Premium SMB Small-Minus-Big, Momentum Premium UMD Up-Minus-Down, Quality Premium RMW Robust-Minus-Weak, Factor Drawdown Analysis, Factor Cyclicality Bull vs Bear Markets, Multi-Factor Portfolio Backtester, Sharpe Ratio Comparison Factors, Factor Regression Analyzer, Long Dry Spells Identifier Value Lost Decade, Factor Diversification Benefit, GSAP Historical Chart Animations - USE CASE: Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data ## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "overview": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data ## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-021",
        "title": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett",
        "prompt_number": 21,
        "prompt": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Human Life Value Calculator Einkommen kapitalisiert, DIME Method Debt/Income/Mortgage/Education, Needs-Based Analysis Family Income Replacement, Term Life vs Whole Life Comparison (ApexCharts Bar Chart), Laddering Strategy Visualizer 10/20/30 Jahre (D3.js Timeline), Premium Calculator Alter/Gesundheit/Betrag, Benefit Calculator Todesfall-Summe, Mortgage Protection Analyzer, Children Education Fund Bedarf, Final Expenses Bestattung, Income Replacement Duration bis Rente, Inflation Adjuster Kaufkraft, Coverage Gap Identifier Unterversicherung, GSAP Insurance Needs Animations - USE CASE: Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance",
        "overview": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-022",
        "title": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional",
        "prompt_number": 22,
        "prompt": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: BU-Renten-Bedarf Calculator 60-80% Nettoeinkommen, Versorgungslücken-Analyse gesetzlich vs privat, Berufsgruppen-Risiko-Bewertung (D3.js Risk Matrix), Leistungsdauer bis 67 Jahre, Dynamik-Option Inflation Protection, Prämien-Vergleich mit/ohne Dynamik (ApexCharts), Abstract vs Konkrete Verweisung Impact, Gesundheitsfragen-Simulator, Ausschlüsse & Einschränkungen Visualizer, Wartezeit & Karenzzeit Erklärer, BU-Rente steuerliche Behandlung, Nachversicherungsgarantie Wert-Rechner, GSAP Risk Animations - USE CASE: Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung",
        "overview": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-023",
        "title": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV",
        "prompt_number": 23,
        "prompt": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: PKV vs GKV Lifetime Cost Comparison (ApexCharts Line Chart), Einkommensschwelle Wechsel PKV 66.600€, Familienplanung Impact Kinder GKV kostenlos, Selbstbehalt-Optimizer 300€ bis 2000€, Beitragsrückerstattung Calculator, Altersrückstellungen PKV Visualizer, Beitragsentwicklung Prognose 40 Jahre, Leistungsvergleich Einzelzimmer/Chefarzt, Zusatzversicherungen Bedarf Zahn/Brille/Heilpraktiker, Auslandsreise-Krankenversicherung, Pflegepflichtversicherung, Wechsel-Szenarien zurück in GKV, GSAP Comparison Animations - USE CASE: Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung",
        "overview": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-024",
        "title": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden",
        "prompt_number": 24,
        "prompt": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassische Rentenversicherung vs Fondsgebundene Comparison, Garantiezins Impact 0.25% aktuell, Überschussbeteiligung Historical, Fondspolice Performance-Szenarien 4%/6%/8% (ApexCharts), Kosten-Transparenz Effektivkosten, Ablaufleistung Calculator, Lebenslange Rente vs Kapital-Option, Dynamik-Option bei Rentenpolicen, Hinterbliebenenschutz Rentengarantiezeit, Berufsunfähigkeits-Zusatzversicherung in Police, Steuerliche Behandlung Ertragsanteil, Riester/Rürup Integration möglich, GSAP Renten-Animations - USE CASE: Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz",
        "overview": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-025",
        "title": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool",
        "prompt_number": 25,
        "prompt": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rechtsschutz-Bereiche Checker Privat/Beruf/Verkehr/Wohnen/Steuer, Risiko-Assessment nach Lebenssituation (D3.js Risk Matrix), Selbstbeteiligung-Optimizer 150€ bis 500€, Deckungssummen-Empfehlung, Wartezeit-Erklärer 3 Monate, Leistungsausschlüsse Visualizer, Mediation-Option, Strafrechtsschutz Verkehr, Arbeitsrechtsschutz Kündigung, Mietrechtsschutz Vermieter/Mieter, Steuerrechtsschutz Finanzamt, Familienrechtsschutz, GSAP Rechtsbereich Animations - USE CASE: Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang",
        "overview": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-026",
        "title": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung",
        "prompt_number": 26,
        "prompt": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Hausrat-Wert-Ermittlung Pauschal 650€/m², Einzelbewertung Möbel/Elektronik/Schmuck/Kunst, Unterversicherung-Risiko Visualizer (ApexCharts Gauge), Versicherungssummen-Empfehlung, Wertsachen-Grenze 20% Standard, Fahrrad-Diebstahl Nachts draußen, Elementarschaden-Zusatz Hochwasser/Starkregen, Glasbruch-Versicherung, Grobe Fahrlässigkeit Mitversichert, Neuwert vs Zeitwert Erstattung, Hausrat im Ausland Urlaub, Prämien-Vergleich verschiedene Summen, GSAP Value Counter Animations - USE CASE: Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme",
        "overview": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-027",
        "title": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich",
        "prompt_number": 27,
        "prompt": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadenfreiheitsklasse-Tracker SF 0 bis SF 35, Selbstbeteiligung-Optimizer Vollkasko/Teilkasko (ApexCharts Break-Even), Rabatt-Maximizer Garage/Wenigfahrer/Partner, Schadenfreiheitsrabatt-Retter bei Schaden, Typklasse & Regionalklasse Info, Neuwert-Entschädigung GAP-Versicherung, Werkstattbindung Rabatt vs Flexibilität, Mallorca-Police Ausland, Fahrerschutz-Versicherung, Telematik-Tarife Score-Based, Versicherungswechsel-Timing Stichtag 30.11., Prämien-Entwicklung Projection (D3.js), GSAP Car Animations - USE CASE: Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl",
        "overview": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-028",
        "title": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten",
        "prompt_number": 28,
        "prompt": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflegegrad-Erklärer 1 bis 5, Pflegekosten-Rechner Heim vs Ambulant (ApexCharts Stacked Bar), Pflegelücke gesetzlich vs privat, Tagegeld-Bedarfsermittlung, Pflege-Bahr geförderte Versicherung, Dynamik-Option Leistungsanpassung, Wartezeit 5 Jahre Standard, Leistung bei Demenz, Assistance-Leistungen Organisation, Einmalzahlung bei Pflegefall, Pflege-Rente lebenslang, Angehörigen-Pflege Unterstützung, GSAP Pflege-Level Animations - USE CASE: Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt",
        "overview": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-029",
        "title": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool",
        "prompt_number": 29,
        "prompt": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Laddering Strategy Builder 3-5 Policen (D3.js Timeline), Bedarf-Reduktion über Zeit Hypothek abbezahlt/Kinder erwachsen, Premium-Optimizer gestaffelte Laufzeiten billiger, Coverage Amount pro Stufe Calculator, Term Length Optimizer 10/15/20/25/30 Jahre, Gesamt-Prämie Laddering vs Single Policy (ApexCharts), Return of Premium Option Kosten, Convertibility Option zu Whole Life, Contestability Period 2 Jahre, Suicide Clause, Medical Exam vs No-Exam Policies, Laddering Visualization interactive (D3.js), GSAP Ladder Animations - USE CASE: Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung",
        "overview": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-030",
        "title": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht",
        "prompt_number": 30,
        "prompt": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Versicherungen Übersicht Leben/BU/Kranken/Haftpflicht/Hausrat/Kfz/Rechtsschutz, Prämien-Summe monatlich/jährlich (ApexCharts Pie Chart Anteil), Coverage Gaps Identifier Unterversicherung, Overlap Detector Doppelversicherung, Versicherungs-Optimierungspotenzial, Policen-Ablauf Kalender wichtige Termine, Schadenfall-Melde-Assistent, Vertrags-Dokumente Vault, Beneficiary Management Begünstigte, Insurance Score Gesamtbewertung, Cost-Benefit Ratio Calculator, Versicherungs-Checkliste Lebensphase, GSAP Portfolio Animations - USE CASE: Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten ## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG",
        "overview": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten ## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-031",
        "title": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced",
        "prompt_number": 31,
        "prompt": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Annuitäten-Darlehen Calculator Zinssatz/Tilgung/Laufzeit, Tilgungsplan-Visualizer 30 Jahre Monat für Monat (D3.js), Forward-Darlehen Planer Zinsbindung 5/10/15/20 Jahre, Sondertilgungs-Impact Simulator jährlich 5%, Anschlussfinanzierungs-Rechner nach Zinsbindung, Eigenkapital-Optimizer 10% bis 30%, Nebenkosten-Rechner Notar/Grunderwerbsteuer/Makler, Haushaltsrechnung Belastungsgrenze 40% Netto, Förderkredit KfW-Darlehen Integration, Kaufpreis vs Miete Comparison 30 Jahre (ApexCharts), Wertsteigerung Immobilie Projection, GSAP Loan Amortization Animations - USE CASE: Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent",
        "overview": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-032",
        "title": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let",
        "prompt_number": 32,
        "prompt": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Mietrendite Calculator Jahresnettokaltmiete/Kaufpreis, Netto-Mietrendite nach Kosten Hausgeld/Instandhaltung/Verwaltung, Eigenkapitalrendite mit Fremdfinanzierung Leverage, Cashflow-Rechner monatlich (ApexCharts Waterfall), Cap Rate Calculator, Cash-on-Cash Return, Loan-to-Value Ratio, Vacancy Rate Impact 5-10%, Property Management Kosten, Maintenance Reserve 1% Kaufpreis jährlich, Property Tax Grundsteuer, Rental Income Growth 2% jährlich, GSAP Rendite Animations - USE CASE: Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten",
        "overview": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-033",
        "title": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert",
        "prompt_number": 33,
        "prompt": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichswertverfahren Rechner ähnliche Objekte, Ertragswertverfahren Vermietete Objekte Kapitalisierung, Sachwertverfahren Substanzwert, Lage-Bewertungs-Matrix Mikro/Makro-Lage (D3.js Heatmap), Ausstattungs-Score Standard/Gehoben/Luxus, Zustand-Bewertung Modernisierungsbedarf, Grundstücks-Bewertung Bodenrichtwert, Marktwert-Ermittlung nach WertV, Verkehrswert-Gutachten Simulator, Wertsteigerungspotenzial Prognose, Objektvergleich Side-by-Side bis 5 Immobilien, GSAP Valuation Animations - USE CASE: Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert",
        "overview": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-034",
        "title": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung",
        "prompt_number": 34,
        "prompt": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zinsbindungs-Strategie Chooser 5/10/15/20/25/30 Jahre, Variable vs Fixed Rate Comparison, Split-Strategie 50% fix + 50% variabel, Forward-Darlehen Timing Optimizer, Zinsentwicklungs-Szenarien steigend/fallend/konstant (ApexCharts), Restschuld-Entwicklung verschiedene Strategien (D3.js Multi-Line), Sondertilgungs-Rechte 5-10% jährlich, Volltilger-Darlehen Laufzeit-Reduktion, KfW-Förderkredite kombinieren, Bereitstellungszins-Vermeidung, Vorfälligkeitsentschädigung Calculator bei Kündigung, GSAP Strategy Comparison Animations - USE CASE: Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz",
        "overview": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-035",
        "title": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI",
        "prompt_number": 35,
        "prompt": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: ROI Calculator Return on Investment Total, IRR Internal Rate of Return Calculation, NPV Net Present Value Discounted Cashflows, Payback Period Calculator, Equity Multiple Rechner, Total Return inkl. Wertsteigerung + Cashflow (ApexCharts), Tax Benefits Abschreibung AfA 2-3% jährlich, Leverage Impact 80% Fremdfinanzierung, Exit Strategy Analyzer Verkauf nach 10/15/20 Jahren, Market Appreciation verschiedene Szenarien 2-5%, Inflation Impact Real Returns, Opportunity Cost vs Aktien ETF Comparison, GSAP ROI Animations - USE CASE: Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits",
        "overview": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-036",
        "title": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator",
        "prompt_number": 36,
        "prompt": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kaufen vs Mieten 30-Jahre-Vergleich Total Cost (ApexCharts Line Chart), Opportunity Cost Calculator Eigenkapital in ETF investiert, Maintenance Cost Eigenheim 1% jährlich, Property Tax vs keine bei Miete, Transaction Costs Kauf/Verkauf Notar/Makler, Mobility Flexibility Score Miete höher, Forced Savings Eigenheim, Leverage Benefit Eigenkapital-Rendite, Home Equity Build-up (D3.js Area Chart), Rent vs Buy Break-Even Point, Market Scenarios Immobilienpreise steigen/fallen, Emotional Benefits Eigenheim, GSAP Comparison Animations - USE CASE: Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete",
        "overview": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-037",
        "title": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten",
        "prompt_number": 37,
        "prompt": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundstückskosten Budget, Baukosten Quadratmeterpreis 1500-3000€, Baunebenkosten 15-20% Architekt/Statiker/Bauantrag, Außenanlagen Garten/Einfahrt/Zaun, Eigenleistung-Kalkulator Muskelhypothek, Kostenpuffer 10-15% Unvorhergesehenes, Finanzierungskosten während Bauphase Bereitstellungszins, Förderung KfW 40/40+ Zuschüsse, Bauzeit-Planer Monate bis Fertigstellung (D3.js Gantt Chart), Zahlungsplan nach Baufortschritt, Abnahme-Kosten Gutachter, Innenausstattung Küche/Bäder, GSAP Budget Build-up Animations - USE CASE: Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung",
        "overview": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-038",
        "title": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property",
        "prompt_number": 38,
        "prompt": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Property Dashboard alle Immobilien (D3.js Map Locations), Portfolio Performance ROI/Cashflow gesamt, Loan-to-Value Ratio Portfolio, Diversifikation Score Geographic/Property Type, Total Equity Build-up alle Properties, Vacancy Rates Tracking, Maintenance Issues Tracker, Tenant Management pro Property, Rental Income Streams (ApexCharts Stacked Area), Property Appreciation Timeline, Debt Service Coverage Ratio, Portfolio Rebalancing Recommendations Verkauf/Kauf, GSAP Multi-Property Animations - USE CASE: Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral",
        "overview": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-039",
        "title": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung",
        "prompt_number": 39,
        "prompt": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Renovierungs-Maßnahmen ROI Küche/Bad/Dach/Fenster/Heizung, Cost vs Value Report verschiedene Projekte (ApexCharts Bar Chart), Wertsteigerung Percentage pro Maßnahme, Energy Efficiency Upgrades KfW-Förderung, Curb Appeal Projects Vorgarten/Fassade, Kitchen Remodel ROI 60-80%, Bathroom Remodel ROI 50-70%, Roof Replacement ROI, HVAC System Upgrade, Window Replacement Energy Savings, Prioritization Matrix Impact vs Cost (D3.js Scatter), Financing Options Modernisierungskredit, GSAP Renovation Animations - USE CASE: Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI",
        "overview": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-040",
        "title": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer",
        "prompt_number": 40,
        "prompt": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Refinancing Calculator neuer Zins vs aktuell, Break-Even Point Refinanzierung-Kosten vs Savings (ApexCharts), Vorfälligkeitsentschädigung Calculator bei vorzeitiger Ablösung, Cash-Out Refinancing Option Equity herausnehmen, Rate-and-Term Refinancing, Interest-Only to Principal-Interest Switch, ARM to Fixed Rate Conversion, Loan Term Reduction 30 zu 15 Jahre, Closing Costs Estimate Notar/Grundbuch, Monthly Payment Reduction (D3.js Comparison), Lifetime Interest Savings, Market Timing Zinsentwicklung, GSAP Refinancing Animations - USE CASE: Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung ## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM",
        "overview": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung ## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-041",
        "title": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management",
        "prompt_number": 41,
        "prompt": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kunden-Datenbank sortable/filterable/searchable, Contact Management Telefon/Email/Adresse, Kundenlebenszyklus-Status Interessent/Neukunde/Bestandskunde/Inaktiv (D3.js Funnel), Produktbesitz-Matrix Kunde x Produkte, Cross-Sell Opportunities Identifier, Nächste Kontakt-Termine Kalender, Geburtstags-Reminder, Vertragsablauf-Alerts, Notes & Communication History, Customer Lifetime Value Berechnung, Kundensegmentierung ABC-Analyse, Referral Tracking Empfehlungen, GSAP CRM Animations - USE CASE: DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up",
        "overview": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-042",
        "title": "entwickle einen DVAG Provisions-Tracker mit Forecasting",
        "prompt_number": 42,
        "prompt": "entwickle einen DVAG Provisions-Tracker mit Forecasting - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Provisions-Dashboard monatlich/quartalsweise/jährlich (ApexCharts Column Chart), Produktarten-Mix Lebensversicherung/BU/Fonds/Immobilien, Bestands-Provisionen vs Abschluss-Provisionen, Provisions-Forecast basierend auf Pipeline, Commission Structure Visualizer Staffelung nach Volumen, YTD Year-to-Date Tracking, Quota Attainment Prozent vom Ziel, Leaderboard Ranking im Team, Top Producers Analyse, Revenue per Client Calculation, Churn Rate Impact auf Bestandsprovisionen, Seasonal Patterns Heatmap (D3.js), GSAP Commission Counter Animations - USE CASE: DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix",
        "overview": "entwickle einen DVAG Provisions-Tracker mit Forecasting",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-043",
        "title": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling",
        "prompt_number": 43,
        "prompt": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kalender-Ansicht Tag/Woche/Monat, Termin-Buchung mit Kundenauswahl, Termin-Typen Erstgespräch/Beratung/Jahresgespräch/Vertragsabschluss, Zeitslot-Blocker für Admin-Zeit, Erinnerungs-System 24h/1h vor Termin, No-Show Tracking, Doppelbuchung-Prevention, Travel Time Calculator zwischen Terminen, Kundenwunsch-Zeitfenster, Meeting Notes Attachment, Follow-up Task Creation nach Termin, Google Calendar Sync Mock, GSAP Calendar Animations - USE CASE: DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung",
        "overview": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-044",
        "title": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter",
        "prompt_number": 44,
        "prompt": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sales Funnel Visualizer Leads/Qualifiziert/Proposal/Negotiation/Closed (D3.js Funnel Chart), Conversion Rates pro Stage, Deal Value in Pipeline Total, Weighted Pipeline Wahrscheinlichkeit × Wert, Average Sales Cycle Tage von Lead zu Close, Win Rate Calculator Abschlussquote, Lead Source Tracking Empfehlung/Kaltakquise/Event/Online, Pipeline Velocity wie schnell Deals durchlaufen, Lost Reasons Analysis warum verloren, Sales Activities Calls/Meetings/Proposals, Top Deals highlighting, Pipeline Health Score, GSAP Funnel Animations - USE CASE: DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline",
        "overview": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-045",
        "title": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage",
        "prompt_number": 45,
        "prompt": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dokumenten-Upload Verträge/Ausweise/Einkommensnachweise, Dokumenten-Kategorisierung Versicherung/Investment/Steuer/Immobilien, Verschlüsselung Mock Sicherheit, Versions-Kontrolle Dokumente, Ablaufdatum-Tracking Ausweisdokumente, OCR Mock Text-Extraktion, Volltextsuche in Dokumenten, Sharing-Links zeitlich begrenzt, Audit Trail wer hat wann zugegriffen, Storage Quota Visualizer (ApexCharts Gauge), Backup & Export Funktion, Compliance DSGVO-konform, GSAP Document Upload Animations - USE CASE: DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen",
        "overview": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-046",
        "title": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel",
        "prompt_number": 46,
        "prompt": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Communication Timeline alle Touchpoints Telefon/Email/SMS/WhatsApp/persönlich (D3.js Timeline), Kontakt-Frequenz Tracking, Last Contact Date Reminder, Communication Preferences Kunde bevorzugt Email/Telefon, Email Template Library, SMS Bulk-Versand Geburtstage, WhatsApp Business Integration Mock, Call Notes pro Gespräch, Email Open/Click Tracking Mock, Response Time Analyzer, Follow-up Reminder Engine, Communication Volume Heatmap (D3.js), GSAP Message Animations - USE CASE: DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle",
        "overview": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-047",
        "title": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance",
        "prompt_number": 47,
        "prompt": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Beratungsprotokoll-Generator nach §34f GewO, Compliance-Checkliste alle Pflichtangaben, Risikoklassen-Ermittlung Kunde, Geeignetheits-Prüfung Produkt vs Kunde Match, Beratungsnachweis-PDF automatisch, Dokumentationspflicht-Erfüller, Haftungsrisiko-Minimizer, Widerrufsbelehrung Generator, Produktinformationsblatt Attachment, Vergütung-Offenlegung Pflicht, Beratungsfehler-Vermeidung, Quality Score pro Beratung (ApexCharts Radar), GSAP Compliance Animations - USE CASE: DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation",
        "overview": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-048",
        "title": "baue ein DVAG Berater-Performance-Dashboard Analytics",
        "prompt_number": 48,
        "prompt": "baue ein DVAG Berater-Performance-Dashboard Analytics - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Dashboard Abschlüsse/Umsatz/Neukundenrate/Cross-Sell-Quote, Monatliche Performance Trends (ApexCharts Line Charts), Ziel vs Ist Comparison, Product Mix Analysis Diversifikation, Customer Acquisition Cost Calculator, Customer Lifetime Value, Retention Rate Bestandskunden, Referral Rate Empfehlungsquote, Activities Metrics Calls/Meetings/Proposals pro Woche, Time Management Analyse produktive vs administrative Zeit, Peer Comparison anonymisiert, Growth Rate YoY Year-over-Year, GSAP KPI Counter Animations - USE CASE: DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance",
        "overview": "baue ein DVAG Berater-Performance-Dashboard Analytics",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-049",
        "title": "erstelle ein DVAG Lead-Scoring-System Priorisierung",
        "prompt_number": 49,
        "prompt": "erstelle ein DVAG Lead-Scoring-System Priorisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead Scoring Model demografisch/verhaltensbezogen/firmografisch, Score Calculation 0-100 Punkte, Lead Grade A/B/C/D basierend auf Score (D3.js Scatter Plot Score vs Engagement), Behavioral Signals Website-Besuche/Email-Opens/Content-Downloads, Demographic Factors Alter/Einkommen/Familie, Firmographic Factors Branche/Unternehmensgröße bei B2B, Engagement Level Interaktionen, Buying Intent Signals, Negative Scoring Disqualifiers, Lead Source Quality Rating, Automated Lead Assignment basierend auf Score, Lead Nurturing Recommendations, GSAP Lead Score Animations - USE CASE: DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads",
        "overview": "erstelle ein DVAG Lead-Scoring-System Priorisierung",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-050",
        "title": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training",
        "prompt_number": 50,
        "prompt": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainings-Fortschritt Dashboard alle Kurse, Skill-Bewertung Radar Chart (ApexCharts) Produkte/Compliance/Sales/Soft Skills, Zertifikate Tracker IHK/Sachkundenachweise, Weiterbildungs-Pflicht 15h jährlich, Learning Path Visualizer vom Einstieg zum Senior Berater (D3.js Tree), Quiz-Scores Wissensüberprüfung, Video-Trainings Completed, Peer Learning Studiengruppen, Mentorship Program Match, Career Progression Timeline, Next Certification Reminder, CPE Continuing Professional Education Tracker, GSAP Learning Animations - USE CASE: DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team ## Kategorie 6: STEUER & RECHT TOOLS",
        "overview": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team ## Kategorie 6: STEUER & RECHT TOOLS",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-051",
        "title": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert",
        "prompt_number": 51,
        "prompt": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Netto-Rechner Lohnsteuer/Soli/Kirchensteuer, Steuerklassen 1-6 Auswahl, Progressionsvorbehalt Visualizer (ApexCharts Stacked Area), Grenzsteuersatz vs Durchschnittssteuersatz, Kalte Progression Impact Inflation, Abzugsfähige Kosten Werbungskosten/Sonderausgaben/außergewöhnliche Belastungen, Steuerfreibeträge Grundfreibetrag/Kinderfreibetrag/Sparerpauschbetrag, Solidaritätszuschlag 5.5% ab 2021 Grenze, Kirchensteuer 8-9% je Bundesland, Steuererstattung Calculator, Jahressteuererklärung Simulator, Tax Bracket Visualizer (D3.js), GSAP Tax Calculation Animations - USE CASE: Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge",
        "overview": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-052",
        "title": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer",
        "prompt_number": 52,
        "prompt": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Abgeltungsteuer 25% + Soli 5.5% = 26.375%, Sparerpauschbetrag 1000€ Single / 2000€ Married, Freistellungsauftrag Manager mehrere Banken, Günstigerprüfung wenn persönlicher Steuersatz < 25%, Teilfreistellung Aktienfonds 30% / Mischfonds 15% / Immobilienfonds 60%, Kirchensteuer auf Kapitalerträge, Quellensteuer Ausland anrechenbar, Verlustverrechnung Aktien/Sonstige, Verlustverrechnungstopf Carry-Forward, Zinsen/Dividenden/Kursgewinne separate Töpfe, Tax-Loss Harvesting Strategie, Steueroptimierung Thesaurierend vs Ausschüttend ETF (ApexCharts), GSAP Tax Optimization Animations - USE CASE: Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal",
        "overview": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-053",
        "title": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge",
        "prompt_number": 53,
        "prompt": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbschaftsteuer-Calculator nach Verwandtschaftsgrad, Freibeträge Ehepartner 500k / Kinder 400k / Enkel 200k / Geschwister 20k, Steuerklassen I/II/III unterschiedliche Sätze (ApexCharts Bar Chart), Stufentarif 7% bis 50%, Selbstgenutzte Immobilie steuerfrei Ehepartner/Kinder unter Bedingungen, 10-Jahres-Regel mehrfache Schenkungen, Nießbrauch-Rechner Wert-Minderung, Kettenschenkung Optimierung Eltern→Kinder→Enkel, Berliner Testament Steuernachteil, Günstigere Varianten Vermögen verteilen, Erbschaftsteuer-Optimierungs-Strategien (D3.js Flow), GSAP Inheritance Animations - USE CASE: Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung",
        "overview": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-054",
        "title": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie",
        "prompt_number": 54,
        "prompt": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schenkungsteuer identisch mit Erbschaftsteuer Freibeträge/Sätze, 10-Jahres-Frist-Tracker Freibeträge alle 10 Jahre erneut, Schenkungsplan-Optimizer Vermögensübertragung über 30 Jahre (D3.js Timeline), Kettenschenkung Eltern→Kinder→Enkel doppelte Freibeträge, Nießbrauch-Vorbehalt Schenkung mit Nutzungsrecht, Wohnrecht-Eintragung Immobilienschenkung, Rückforderungsvorbehalt wenn Beschenkter vorverstirbt, Schenkung unter Auflage Pflege im Alter, Gemischte Schenkung Teil entgeltlich, Taggenaue Berechnung 10-Jahres-Frist, Steuerersparnis-Visualizer Schenkung vs Erbe (ApexCharts), GSAP Gift Planning Animations - USE CASE: Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie",
        "overview": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-055",
        "title": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL",
        "prompt_number": 55,
        "prompt": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: VL-Betrag Arbeitgeber max 40€/Monat, Arbeitnehmersparzulage 20% auf Aktien-VL (max 400€ VL → 80€ Zulage), Einkommensgrenzen Ledige 40.000€ / Verheiratete 80.000€, VL-Anlagemöglichkeiten Bausparvertrag/Aktien-Fondssparplan/Banksparplan, Sperrfrist 7 Jahre, VL-Fondssparplan Rendite-Projektion (ApexCharts Line Chart), Arbeitgeberzuschuss + Sparzulage + Rendite = Total Benefit, VL vs selbst sparen Comparison, Steuerfreie Einzahlung des Arbeitgebers, Zulageantrag automatisch vs manuell, VL-Rechner verschiedene Szenarien (D3.js), GSAP VL Animations - USE CASE: Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat",
        "overview": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-056",
        "title": "entwickle einen DVAG Riester-Renten-Rechner Förderquote",
        "prompt_number": 56,
        "prompt": "entwickle einen DVAG Riester-Renten-Rechner Förderquote - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Riester-Zulagen Grundzulage 175€/Jahr + Kinderzulage 300€/Kind, Mindesteigenbeitrag 4% Bruttoeinkommen minus Zulagen, Sockelbeitrag 60€/Jahr Minimum, Steuerliche Förderung Sonderausgabenabzug max 2100€, Günstigerprüfung Zulage vs Steuervorteil, Förderquote Calculator Zulagen/Eigenbeitrag, Riester-Produktvergleich Versicherung/Fondssparplan/Banksparplan/Wohn-Riester, Zulagenantrag Permanent-Zulagenantrag, Schädliche Verwendung Auszahlung vor Rente, Nachgelagerte Besteuerung Rentenbezug, Riester vs ETF-Sparplan Vergleich (ApexCharts), GSAP Riester Animations - USE CASE: Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen",
        "overview": "entwickle einen DVAG Riester-Renten-Rechner Förderquote",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-057",
        "title": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige",
        "prompt_number": 57,
        "prompt": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rürup-Basisrente für Selbständige/Freiberufler, Steuerliche Absetzbarkeit 2024: 100% von max 27.566€ (Ledige) / 55.132€ (Verheiratete), Steuervorteil-Rechner nach persönlichem Steuersatz, Nachgelagerte Besteuerung in Rente, Rürup vs private Altersvorsorge Vergleich (ApexCharts), Kapitalwahlrecht nicht möglich nur lebenslange Rente, Hartz-IV-sicher Pfändungsschutz, Vererbung nicht möglich außer Hinterbliebenenrente, Zusatzbausteine BU/Hinterbliebenenabsicherung, Rürup-Produktvergleich Versicherung vs Fondssparplan, Rendite-Projektion (D3.js), GSAP Rürup Animations - USE CASE: Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis",
        "overview": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-058",
        "title": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV",
        "prompt_number": 58,
        "prompt": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: bAV-Durchführungswege Direktversicherung/Pensionskasse/Pensionsfonds/Direktzusage/Unterstützungskasse, Entgeltumwandlung Brutto zu bAV Steuer- und Sozialversicherungsfrei, Fördergrenze 2024: 8% BBG = 7.248€ sv-frei / 4% BBG darüber hinaus steuerfrei, Arbeitgeberzuschuss Pflicht 15% bei Sozialversicherungsersparnis, Steuerersparnis durch Bruttoumwandlung (ApexCharts Waterfall), Nachgelagerte Besteuerung + Krankenversicherung in Rente, Portabilität bei Arbeitgeberwechsel, Riester-Förderung zusätzlich möglich, bAV vs private Altersvorsorge Comparison, Unverfallbarkeit nach 3 Jahren, GSAP bAV Animations - USE CASE: Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung",
        "overview": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-059",
        "title": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung",
        "prompt_number": 59,
        "prompt": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Jahresendrallye Steueroptimierung November/Dezember, Sonderausgaben vorziehen Versicherungen/Spenden/Riester, Werbungskosten maximieren Arbeitszimmer/Fortbildung/Fachliteratur, Außergewöhnliche Belastungen Krankheitskosten/Pflegekosten, Handwerkerleistungen 20% abzugsfähig max 1200€, Haushaltsnahe Dienstleistungen 20% max 4000€, Verlustverrechnung realisieren Tax-Loss Harvesting, Abschreibungen Immobilien AfA, Investitionsabzugsbetrag Selbständige, Sonderabschreibung degressive AfA, Steueroptimierungs-Checkliste (D3.js Flow Diagram), Steuerersparnis-Potential Calculator (ApexCharts), GSAP Year-End Planning Animations - USE CASE: Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung",
        "overview": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-060",
        "title": "entwickle einen DVAG Steuererklärung-Assistent Deutschland",
        "prompt_number": 60,
        "prompt": "entwickle einen DVAG Steuererklärung-Assistent Deutschland - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Steuererklärung-Wizard Schritt-für-Schritt, Anlage N Einkünfte nichtselbständige Arbeit, Anlage KAP Kapitaleinkünfte, Anlage V Vermietung Verpachtung, Anlage AV Altersvorsorge Riester/Rürup, Werbungskosten-Pauschalen vs Einzelnachweis, Entfernungspauschale 30 Cent/km, Arbeitszimmer-Rechner, Verpflegungsmehraufwand Dienstreisen, Doppelte Haushaltsführung, Fortbildungskosten, Steuererstattung-Prognose (ApexCharts Gauge), ELSTER Mock-Export, Abgabefrist-Reminder 31.7., GSAP Form Fill Animations - USE CASE: Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung ## Kategorie 7: ALTERSVORSORGE & RENTE",
        "overview": "entwickle einen DVAG Steuererklärung-Assistent Deutschland",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung ## Kategorie 7: ALTERSVORSORGE & RENTE",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-061",
        "title": "erstelle ein DVAG Rentenlücken-Rechner Deutschland",
        "prompt_number": 61,
        "prompt": "erstelle ein DVAG Rentenlücken-Rechner Deutschland - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesetzliche Rente Estimator basierend auf Entgeltpunkten, Rentenniveau aktuell 48% sinkt auf 43%, Versorgungslücke Current Lifestyle vs Gesetzliche Rente (ApexCharts Gap Chart), 3-Schichten-System gesetzlich/betrieblich/privat Visualizer (D3.js Stacked Area), Inflationsbereinigung Kaufkraft im Alter, Lebenserwartung Calculator Durchschnitt + 10 Jahre Sicherheit, Zusätzlicher Kapitalbedarf bis Lebensende, Sparrate-Berechnung um Lücke zu schließen, Rentenbeginn-Optimizer 63/65/67/70 Jahre Abschläge/Zuschläge, Teilrente in Kombi mit Teilzeit, Steuer auf Rente Ertragsanteil 2040: 100%, GSAP Gap Visualization Animations - USE CASE: Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar",
        "overview": "erstelle ein DVAG Rentenlücken-Rechner Deutschland",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-062",
        "title": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt",
        "prompt_number": 62,
        "prompt": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schicht 1 Basisversorgung Gesetzliche Rente/Rürup, Schicht 2 Zusatzversorgung bAV/Riester, Schicht 3 Kapitalanlage private Renten/ETF/Immobilien, Gesamtrenten-Projektion alle Schichten (ApexCharts Stacked Column), Optimale Schichtung nach Steuersituation, Schicht-Priorisierung für verschiedene Berufsgruppen Angestellt/Beamte/Selbständig, Tax Treatment jeder Schicht in Anspar & Auszahlphase, Flexibilität Score Verfügbarkeit Kapital, Förderquoten-Vergleich Riester/Rürup/bAV, Diversifikation über Schichten (D3.js Sankey Flow), Asset Allocation Altersvorsorge, GSAP 3-Layer Animations - USE CASE: Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix",
        "overview": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-063",
        "title": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge",
        "prompt_number": 63,
        "prompt": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelaltersgrenze nach Geburtsjahrgang 65-67 Jahre, Früherer Rentenbeginn ab 63 mit Abschlägen 0.3% pro Monat, Rente mit 63 nach 45 Beitragsjahren ohne Abschlag, Späterer Rentenbeginn Zuschläge 0.5% pro Monat, Break-Even Analyse früh vs spät (ApexCharts Line Chart Crossover), Lebenserwartung Impact auf Break-Even, Gesundheitszustand-Faktor, Weiterarbeiten-Rentability neben Teilrente, Hinzuverdienst-Grenzen vor Regelaltersgrenze, Rentenbesteuerung unterschiedlich je Eintrittsalter, Optimaler Rentenbeginn Calculator (D3.js Decision Tree), GSAP Retirement Age Animations - USE CASE: Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit",
        "overview": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-064",
        "title": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal",
        "prompt_number": 64,
        "prompt": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 4% Rule Calculator Trinity Study, Variable Withdrawal Strategies Guyton-Klinger, Dynamic Spending Adjustments Market-Based, Withdrawal Rate Simulator 3%/4%/5% (ApexCharts Monte Carlo), Portfolio Longevity bis 95/100 Jahre, Sequence of Returns Risk Visualizer frühe Bear Markets (D3.js), Inflation-Adjusted Withdrawals 2-3%, Tax-Efficient Withdrawal Order Taxable/Tax-Deferred/Tax-Free, Required Minimum Distributions RMDs ab 73 Jahre, Social Security Timing Integration, Bucket Strategy Cash/Bonds/Stocks, Failure Rate Probability Portfolio Depletion, GSAP Withdrawal Animations - USE CASE: Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung",
        "overview": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-065",
        "title": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert",
        "prompt_number": 65,
        "prompt": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entgeltpunkte-Berechnung Brutto/Durchschnitt, Rentenwert aktuell 39.32€ (West) / 39.32€ (Ost) seit 2024, Rentenformel Entgeltpunkte × Zugangsfaktor × Rentenartfaktor × Rentenwert, Versicherungsverlauf Simulation Jahre, Durchschnittsentwicklung Gehälter, Rentenhöhe-Projektion (ApexCharts Column Chart), Rentenanpassung 1-2% jährlich, Mütterrente Kindererziehungszeiten, Erwerbsminderungsrente, Hinterbliebenenrente Witwen/Waisen, Rentenauskunft Checker, Deutsche Rentenversicherung Info-Integration, GSAP Pension Calculation Animations - USE CASE: Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt",
        "overview": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-066",
        "title": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit",
        "prompt_number": 66,
        "prompt": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Altersvorsorge-Produkte Matrix ETF/Riester/Rürup/bAV/private Rente/Immobilien, Rendite vs Sicherheit Scatter Plot (D3.js), Liquidität vs Rendite Trade-Off, Steuerliche Förderung Ranking, Kosten-Transparenz TER/Effektivkosten, Flexibilität Score Verfügbarkeit, Diversifikation über Produkttypen, Alters-Glide-Path 100-Alter Aktienquote, Rebalancing verschiedene Produkte, Risk-Adjusted Return Sharpe Ratio, Altersvorsorge-Empfehlung basierend auf Profil (ApexCharts Radar), GSAP Product Mix Animations - USE CASE: Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen",
        "overview": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-067",
        "title": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International",
        "prompt_number": 67,
        "prompt": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sozialversicherungsabkommen Deutschland mit Ländern, Rentenansprüche mehrere Länder kombinieren, EU-Koordinierung Rentenansprüche, Pension Totalization Agreements USA/Canada/Australia, Versorgungslücke bei Auslandsaufenthalten, Private International Pension Solutions, Currency Risk Renten in anderer Währung, Tax Treatment Cross-Border Pensions DBA Doppelbesteuerungsabkommen, Gesetzliche Rente Export-Fähigkeit, Expat Retirement Strategies, Ländervergleich Rentensysteme (D3.js World Map), GSAP International Pension Animations - USE CASE: Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung",
        "overview": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-068",
        "title": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil",
        "prompt_number": 68,
        "prompt": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentenbesteuerung Gesetzliche Rente Besteuerungsanteil 2024: 83% steigt auf 100% bis 2040, Rentenfreibetrag einmalige Festsetzung bei Rentenbeginn, Altersentlastungsbetrag für andere Einkünfte im Alter, Grundfreibetrag 2024: 11.604€, Krankenversicherung Rentner KVdR, Pflegeversicherung Rentner, Steuerpflicht-Checker Rente über Grundfreibetrag, Private Rentenversicherung Ertragsanteilsbesteuerung je nach Rentenbeginn-Alter, Riester-Rente nachgelagerte Vollversteuerung, Rürup-Rente nachgelagerte Vollversteuerung, Nettorentenrechner nach Steuern (ApexCharts Waterfall), GSAP Tax on Pension Animations - USE CASE: Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen",
        "overview": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-069",
        "title": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland",
        "prompt_number": 69,
        "prompt": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundsicherung im Alter Bedarf 2024 ca. 950€/Monat, Altersarmut-Schwelle 60% Median-Einkommen, Risikogruppen Mini-Jobber/Selbständige ohne Altersvorsorge/Alleinerziehende/Langzeitarbeitslose, Erwerbsbiografie-Lücken Impact, Teilzeit-Arbeit Rentenauswirkungen, Gender Pension Gap Frauen, Scheidung Impact Versorgungsausgleich, Gesundheitskosten im Alter, Pflegekosten-Risiko, Altersarmut-Wahrscheinlichkeit Calculator (ApexCharts Gauge), Präventions-Maßnahmen Altersvorsorge aufbauen, GSAP Poverty Risk Animations - USE CASE: Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen",
        "overview": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-070",
        "title": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare",
        "prompt_number": 70,
        "prompt": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentensplitting unter Ehegatten, Versorgungsausgleich bei Scheidung, Partner-Rente Hinterbliebenenversorgung, Witwenrente 55%/60% der Rente des Verstorbenen, Eigene Rente angerechnet auf Witwenrente, Freibetrag Witwenrente, Große vs Kleine Witwenrente, Rentenkürzung bei Wiederheirat, Splitting vs Witwenrente Comparison (ApexCharts), Erziehungszeiten Anrechnung, Rentenoptimierung Ehepaare Einzeln vs Gesamt, Tax Optimization Ehegatten-Splitting, GSAP Couple Pension Animations - USE CASE: Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien ## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "overview": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien ## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-071",
        "title": "erstelle ein DVAG Konzern-Performance-Dashboard Executive",
        "prompt_number": 71,
        "prompt": "erstelle ein DVAG Konzern-Performance-Dashboard Executive - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Overview Umsatz/Neugeschäft/Bestand/Mitarbeiter, Regional Performance Deutschland-Karte (D3.js Geo Choropleth), Top Regions Ranking, Produktmix-Analyse Leben/BU/Fonds/Immobilien (ApexCharts Stacked Column), YoY Growth Rate Year-over-Year, Monthly Trends Charts, Berater-Produktivität Durchschnitt, Customer Acquisition Cost, Customer Lifetime Value, Churn Rate Bestandskunden, Market Share Visualizer, Strategic Goals vs Actuals (D3.js Bullet Charts), GSAP Executive Dashboard Animations - USE CASE: DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance",
        "overview": "erstelle ein DVAG Konzern-Performance-Dashboard Executive",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-072",
        "title": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen",
        "prompt_number": 72,
        "prompt": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertriebs-Organisationen Hierarchie Visualizer (D3.js Org Chart), Team-Leaderboard Top Performers, Individual Performance Scorecards, Sales Targets vs Actuals, Commission Tracking pro Berater, Activity Metrics Calls/Meetings/Proposals, Conversion Rates Funnel, Cross-Sell Ratio, Retention Rate Team, Recruiting Success neue Berater, Training Completion Rate, Performance Distribution Histogram (ApexCharts), Team Collaboration Score, GSAP Team Performance Animations - USE CASE: Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse",
        "overview": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-073",
        "title": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking",
        "prompt_number": 73,
        "prompt": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Neugeschäft-Volumen Daily/Weekly/Monthly (ApexCharts Real-Time Line Chart), Produktarten-Split, Durchschnittliche Vertragssumme, Anzahl Abschlüsse, Top Berater Neugeschäft, Regional Distribution Neugeschäft (D3.js Map), Neugeschäft Forecast basierend auf Pipeline, Saisonalität-Analyse Heatmap, Campaign Performance Marketing-Kampagnen, Lead-to-Close Rate, Time-to-Close Average, New Business Quality Score, GSAP New Business Animations - USE CASE: DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg",
        "overview": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-074",
        "title": "baue ein DVAG Bestandsgeschäft-Analyzer Retention",
        "prompt_number": 74,
        "prompt": "baue ein DVAG Bestandsgeschäft-Analyzer Retention - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestandsvolumen Total nach Produktarten, Retention Rate jährlich (ApexCharts Line Chart), Churn Rate Kündigungen, Lapse Ratio Stornoquote, Premium Persistency Beitragstreue, Policy Persistency Vertragstreue, Storno-Gründe Analyse, At-Risk Customers Identifier Kündigungsrisiko, Bestandspflege-Aktivitäten, Cross-Sell Opportunities im Bestand, Policen-Erhöhungen Dynamik, Bestandsprovisionen Forecast, GSAP Retention Animations - USE CASE: DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification",
        "overview": "baue ein DVAG Bestandsgeschäft-Analyzer Retention",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-075",
        "title": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum",
        "prompt_number": 75,
        "prompt": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Recruiting Funnel Leads/Interviews/Offers/Hires (D3.js Funnel), Conversion Rate pro Stage, Source of Hires Referrals/Events/Online/Ads, Time-to-Hire Average, Quality of Hire Metrics erste 12 Monate Performance, Retention New Hires 1-Jahres-Quote, Onboarding Completion Rate, Recruiter Productivity, Cost per Hire, Headcount Growth Netto-Wachstum (ApexCharts), Regional Recruiting Performance, Diversity Metrics, GSAP Recruiting Funnel Animations - USE CASE: DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting",
        "overview": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-076",
        "title": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy",
        "prompt_number": 76,
        "prompt": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Training Completion Rates alle Programme, Skill Development Tracking pre/post Tests, Certification Success Rate IHK/Sachkunde, Training ROI Performance nach Training, Course Ratings Feedback, Training Hours pro Berater, Compliance Training Mandatory, Product Knowledge Scores, Sales Skills Assessment, Soft Skills Development, Learning Path Completion (D3.js Sankey), Training Cost per Berater, GSAP Training Progress Animations - USE CASE: DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback",
        "overview": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-077",
        "title": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS",
        "prompt_number": 77,
        "prompt": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Net Promoter Score NPS -100 bis +100, Customer Satisfaction Score CSAT, Customer Effort Score CES, Sentiment Analysis Reviews, Complaint Rate, Resolution Time Beschwerden, Survey Response Rate, NPS Trend über Zeit (ApexCharts Line Chart), NPS by Region/Product/Berater, Promoters vs Detractors Analysis, Feedback Themes Word Cloud (D3.js), Referral Rate aus Promoters, GSAP NPS Score Animations - USE CASE: DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse",
        "overview": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-078",
        "title": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring",
        "prompt_number": 78,
        "prompt": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Compliance-Rate Beratungsprotokolle 100% Ziel, Weiterbildungspflicht 15h erfüllt Berater-Quote, IHK-Zertifizierungen aktuell, Produktinformationsblätter vollständig, Datenschutz DSGVO Compliance, Geldwäsche-Prävention Schulungen, Beschwerdemanagement Response Times, Audit Findings offene vs geschlossene, Regulatory Changes Dashboard neue Gesetze (D3.js Timeline), Risk Score Compliance-Risiken (ApexCharts Gauge), Sanctions & Fines Tracking, GSAP Compliance Check Animations - USE CASE: DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation",
        "overview": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-079",
        "title": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio",
        "prompt_number": 79,
        "prompt": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Produktportfolio-Übersicht Leben/BU/Kranken/Fonds/Immobilien, Sales Volume pro Produkt (ApexCharts Treemap), Profitability Margin pro Produkt, Product Life Cycle Stage Introduction/Growth/Maturity/Decline, Market Share Wettbewerb, Customer Satisfaction pro Produkt, Cross-Sell Affinity Matrix (D3.js Heatmap), Product Cannibalization Analysis, Portfolio Balance Risk/Return, New Product Launch Performance, Underperforming Products Identifier, GSAP Product Performance Animations - USE CASE: DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen",
        "overview": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-080",
        "title": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb",
        "prompt_number": 80,
        "prompt": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Marktanteile DVAG vs Wettbewerb Allianz/AXA/Zurich/SwissLife (ApexCharts Pie Chart), Competitive Positioning Matrix (D3.js Scatter Plot), Pricing Comparison Prämien/TER, Product Feature Comparison, Customer Acquisition Trends Markt, Digital Transformation Index Wettbewerber, Social Media Sentiment Analysis, Market Growth Rate gesamt, Regulatory Changes Impact auf Wettbewerb, Competitive Threats & Opportunities, Market Share Trends Historical (ApexCharts Area Chart), GSAP Market Intelligence Animations - USE CASE: DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren ## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE",
        "overview": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren ## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-081",
        "title": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht",
        "prompt_number": 81,
        "prompt": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Verträge Übersicht Leben/BU/Kranken/Fonds/Immobilien, Vertragsstatus Aktiv/Ruhend/Gekündigt, Prämien-Übersicht monatlich/jährlich (ApexCharts Pie Chart), Versicherungssummen Total, Ablaufleistungen Projection, Vertrags-Details pro Police, Beitragsfreistellung Option, Policen-Erhöhung Nachversicherung, Vertragsänderungen Historie, Document Download Police/Jahresinformation, Schadenfall melden, Kontakt Berater Button, GSAP Portal Dashboard Animations - USE CASE: DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen",
        "overview": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-082",
        "title": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service",
        "prompt_number": 82,
        "prompt": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fondspolice-Guthaben aktuell, Fonds-Allocation Pie Chart (ApexCharts), Performance Charts 1/3/5/10 Jahre (D3.js Multi-Line), Einzahlungen vs Wertsteigerung, Cost Average Effect Visualization, Fondswechsel Self-Service Umschichtung, Dynamik-Option Beitragserhöhung, Zuzahlung einmalig, Kosten-Transparenz laufende Kosten, Ablaufleistung Projection (ApexCharts Area Chart), Steuerliche Behandlung Infos, Download Jahresbescheinigung, GSAP Fondspolice Animations - USE CASE: DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich",
        "overview": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-083",
        "title": "programmiere ein DVAG Schadensmeldung-Portal Digital",
        "prompt_number": 83,
        "prompt": "programmiere ein DVAG Schadensmeldung-Portal Digital - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadensmeldung-Formular Step-by-Step, Schadensart Auswahl Unfall/Krankheit/Kfz/Hausrat/Rechtsschutz, Upload Fotos/Belege/Gutachten, Schadennummer Tracking, Status-Verfolgung Eingegangen/Prüfung/Gutachten/Zahlung, Kommunikation mit Sachbearbeiter Chat, Zahlungsstatus Regulierung, Schadens-Historie alle vergangenen, Rückfragen-Management, Fristen-Reminder fehlende Unterlagen, Push Notifications Status-Updates, Durchschnittliche Bearbeitungszeit Info, GSAP Schadensmeldung Animations - USE CASE: DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess",
        "overview": "programmiere ein DVAG Schadensmeldung-Portal Digital",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-084",
        "title": "baue ein DVAG Dokumenten-Center Self-Service Download",
        "prompt_number": 84,
        "prompt": "baue ein DVAG Dokumenten-Center Self-Service Download - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Dokumente Übersicht Verträge/Jahresinformationen/Steuerbescheinigungen/Leistungsübersichten, Kategorisierung nach Dokumententyp, Zeitliche Sortierung, Suchfunktion Volltext, Download PDF einzeln/gesammelt, E-Signatur Vertragsänderungen, Postbox digitale Postbox statt Brief, Archivierung 10 Jahre gesetzlich, Upload eigene Dokumente Scans, Dokumenten-Sharing mit Berater, Neue Dokumente Notifications, Papierlos-Option, GSAP Document Download Animations - USE CASE: DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich",
        "overview": "baue ein DVAG Dokumenten-Center Self-Service Download",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-085",
        "title": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service",
        "prompt_number": 85,
        "prompt": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Beitragszahlungen Übersicht alle Verträge, Zahlungsrhythmus monatlich/quartalsweise/halbjährlich/jährlich, Bankverbindung ändern SEPA-Lastschrift, Zahlungshistorie, Zahlungsausfall-Alerts, Beitragsrückstände Mahnung, Ratenzahlung Rückstände, Beitragsanpassung Dynamik stoppen/aktivieren, Zahlungsmethode ändern Lastschrift/Überweisung, Beitragsfreistellung beantragen, Beitragszahlung aussetzen temporär, Rückforderung überzahlte Beiträge, GSAP Payment Management Animations - USE CASE: DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen",
        "overview": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-086",
        "title": "entwickle einen DVAG Termin-Buchung-Portal Self-Service",
        "prompt_number": 86,
        "prompt": "entwickle einen DVAG Termin-Buchung-Portal Self-Service - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Berater-Kalender Verfügbarkeit, Termin-Buchung Self-Service Datum/Uhrzeit, Terminart Beratung/Jahresgespräch/Vertragsabschluss, Video-Call vs Persönlich vs Telefon, Standort-Auswahl Geschäftsstelle/Kunde, Agenda-Setting Gesprächsthemen, Erinnerung 24h/1h vor Termin, Termin verschieben/absagen Self-Service, Berater-Profil Foto/Bio, Wartezeit-Info durchschnittlich, Meeting-Link Video-Call, Termin-Historie vergangene Gespräche, GSAP Booking Animations - USE CASE: DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand",
        "overview": "entwickle einen DVAG Termin-Buchung-Portal Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-087",
        "title": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service",
        "prompt_number": 87,
        "prompt": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Adresse ändern alle Verträge auf einmal, Telefonnummer ändern, E-Mail-Adresse ändern, Familienstand ändern Heirat/Scheidung, Namensänderung nach Heirat, Kontopfändung melden, Bezugsrechtsänderung Begünstigte, Kinder hinzufügen Geburt, Kinder entfernen Volljährigkeit, Arbeitgeber-Wechsel melden, Änderungs-Historie, Bestätigung E-Mail, Automatische Aktualisierung aller Verträge, GSAP Address Change Animations - USE CASE: DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates",
        "overview": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-088",
        "title": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service",
        "prompt_number": 88,
        "prompt": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestehende Policen Upload/Import, Bedarfsanalyse-Fragebogen Lebenssituation, Coverage Gap Analysis Unterversicherung (ApexCharts Gap Chart), Overlap Detection Doppelversicherung, Optimierungspotenzial Prämien sparen, Produktempfehlungen basierend auf Gaps, Lebensphasen-Check Anpassungsbedarf, Risiko-Score aktueller Schutz (D3.js Gauge), Vergleich zu Empfehlung Soll vs Ist, Beratungstermin vorschlagen bei Gaps, PDF-Report Police-Check Ergebnis, Jährlicher Police-Check Reminder, GSAP Policy Check Animations - USE CASE: DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check",
        "overview": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-089",
        "title": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service",
        "prompt_number": 89,
        "prompt": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FAQ-Kategorien Verträge/Schaden/Zahlung/Änderungen, Suchfunktion Freitext, Chatbot Mock Conversations häufige Fragen, Guided Navigation Decision Tree, Video-Tutorials How-To, Glossar Versicherungsbegriffe, Contact Escalation zu Berater bei komplexen Fragen, Kontaktformular, Telefon-Hotline Info, E-Mail Support, FAQ-Feedback hilfreich/nicht hilfreich, Popular Topics Trending, Chatbot-Analytics häufigste Fragen (ApexCharts), GSAP Chatbot Animations - USE CASE: DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot",
        "overview": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-090",
        "title": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service",
        "prompt_number": 90,
        "prompt": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budgetplaner Einnahmen/Ausgaben, Sparziel-Tracker Notgroschen/Urlaub/Auto, Rentenlücken-Rechner Self-Service, Immobilienfinanzierung-Rechner, Versicherungsbedarf-Calculator Leben/BU, Investment-Rechner ETF-Sparplan, Steuer-Rechner Brutto/Netto, Altersvorsorge-Planner 3 Schichten, Finanz-Ziele Priorisierung, Fortschritt-Tracking Goals, Beratungsempfehlung bei komplexen Zielen, PDF-Export Finanzplan, GSAP Financial Planning Animations - USE CASE: DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung ## Kategorie 10: TRAINING & ONBOARDING APPS",
        "overview": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung ## Kategorie 10: TRAINING & ONBOARDING APPS",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-091",
        "title": "erstelle ein DVAG Onboarding-Dashboard Neue Berater",
        "prompt_number": 91,
        "prompt": "erstelle ein DVAG Onboarding-Dashboard Neue Berater - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Onboarding-Progress Timeline 90 Tage (D3.js Gantt Chart), Pflicht-Trainings Checklist Produkte/Compliance/Sales/IT, Video-Kurse Completion Rate, Quiz-Scores Wissensüberprüfung, IHK-Prüfung Vorbereitung, Sachkundeprüfung §34f GewO, Mentorship Pairing, Buddy-System Support, First Sales Milestone 5 Abschlüsse, Certifications Earned Badges (ApexCharts Progress Bars), Manager Check-Ins Termine, Feedback Surveys, GSAP Onboarding Progress Animations - USE CASE: DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation",
        "overview": "erstelle ein DVAG Onboarding-Dashboard Neue Berater",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-092",
        "title": "entwickle einen DVAG Produkt-Training-Simulator Interactive",
        "prompt_number": 92,
        "prompt": "entwickle einen DVAG Produkt-Training-Simulator Interactive - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Produkt-Katalog alle DVAG-Produkte Leben/BU/Fonds/Immobilien, Interactive Product Explorer Features/Kosten/Zielgruppe, Vergleichs-Tool Produkte Side-by-Side, Sales Pitch Templates, Objection Handling Scenarios, Competitive Comparison Wettbewerb, Tarif-Rechner Integration, Produktwissen-Quiz pro Produkt, Zertifikate pro Produktkategorie, Best Practices Success Stories, Update-Notifications neue Produkte, Learning Path Produktspezialist (D3.js), GSAP Product Training Animations - USE CASE: DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator",
        "overview": "entwickle einen DVAG Produkt-Training-Simulator Interactive",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-093",
        "title": "programmiere ein DVAG Sales-Skills-Training Rollenspiele",
        "prompt_number": 93,
        "prompt": "programmiere ein DVAG Sales-Skills-Training Rollenspiele - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sales Methodology SPIN Selling/Challenger/Solution Selling, Rollenspiel-Szenarien Erstgespräch/Einwandbehandlung/Abschluss, Video-Recording Mock Pitches, Peer Feedback, Self-Assessment Rubrics, Sales Skills Radar Chart (ApexCharts) Rapport/Discovery/Presentation/Closing, Objection Library 50+ Einwände mit Antworten, Call Script Builder, Elevator Pitch Generator, Negotiation Tactics, Closing Techniques, Practice Score Tracking (D3.js), GSAP Sales Roleplay Animations - USE CASE: DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training",
        "overview": "programmiere ein DVAG Sales-Skills-Training Rollenspiele",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-094",
        "title": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen",
        "prompt_number": 94,
        "prompt": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflichtschulungen Geldwäsche/Datenschutz/Beratungsprotokoll/Produktinformationspflicht, E-Learning Modules Video+Text+Quiz, Compliance-Quiz Bestehen 80% minimum, Zertifikate Completion, Jährliche Auffrischung 15h Pflicht, Regulatory Updates neue Gesetze, Best Practices Dos and Don'ts, Case Studies Compliance-Verstöße, Audit Preparation, Compliance Score Dashboard (ApexCharts Gauge), Non-Compliance Consequences, Refresher Training Reminder, GSAP Compliance Training Animations - USE CASE: DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen",
        "overview": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-095",
        "title": "erstelle ein DVAG Soft-Skills-Academy Kommunikation",
        "prompt_number": 95,
        "prompt": "erstelle ein DVAG Soft-Skills-Academy Kommunikation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kommunikations-Training Active Listening/Empathy/Questioning, Konfliktmanagement Deeskalation, Verhandlungsführung Win-Win, Präsentations-Skills, Body Language Decoder, Emotional Intelligence Assessment (ApexCharts Radar), Storytelling für Sales, Rapport Building Techniques, Trust Establishment, Customer Psychology, Cultural Sensitivity, Difficult Conversations Handling, Soft Skills Score Tracking (D3.js), Practice Exercises, GSAP Soft Skills Animations - USE CASE: DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation",
        "overview": "erstelle ein DVAG Soft-Skills-Academy Kommunikation",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-096",
        "title": "entwickle einen DVAG Digital-Tools-Training IT-Skills",
        "prompt_number": 96,
        "prompt": "entwickle einen DVAG Digital-Tools-Training IT-Skills - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: CRM-System Training DVAG-Software, Kunden-Portal Nutzung, Dokumenten-Management System, Video-Call Tools Zoom/Teams, E-Signature Plattform, Tablet-Präsentationen iPad-Apps, Social Selling LinkedIn/Xing, Digital Marketing Basics, Cybersecurity Awareness Phishing, DSGVO Digital, Productivity Tools Kalender/To-Do, IT-Support FAQ, Digital Fluency Score (ApexCharts), GSAP Digital Tools Animations - USE CASE: DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen",
        "overview": "entwickle einen DVAG Digital-Tools-Training IT-Skills",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-097",
        "title": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde",
        "prompt_number": 97,
        "prompt": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: IHK-Prüfung §34f GewO Lernmaterialien, Prüfungsinhalte Versicherungsprodukte/Recht/Steuern/Beratungspflichten, Übungsfragen 1000+ Fragen, Mock-Exams Prüfungssimulation, Zeitlimit 120 Minuten, Score Tracking Fortschritt (ApexCharts Line Chart), Schwachstellen-Analyse welche Themen üben (D3.js Heatmap), Lernplan 8 Wochen strukturiert, Video-Lektionen, Prüfungsangst-Tipps, Success Rate Statistik, Zertifikat Mock bei Bestehen, GSAP Exam Prep Animations - USE CASE: DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung",
        "overview": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-098",
        "title": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning",
        "prompt_number": 98,
        "prompt": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mentor-Matching Senior mit Junior Berater, Mentorship Goals Setting, Meeting-Scheduler regelmäßige Check-Ins, Knowledge Sharing Best Practices, Career Development Roadmap, Skill Gap Identification, Learning Resources Empfehlungen, Feedback 360° Mentor/Mentee, Success Stories Mentorship Impact, Mentorship Program Analytics (ApexCharts), Peer Learning Groups Studiengruppen, Community Forum Q&A, GSAP Mentorship Animations - USE CASE: DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt",
        "overview": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-099",
        "title": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content",
        "prompt_number": 99,
        "prompt": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Micro-Lessons 5-10 Minuten Video/Text/Quiz, Daily Learning Habit 15min täglich, Mobile-First Design Learning on the Go, Push Notifications Daily Lesson, Topics Library 500+ Lessons Produkte/Sales/Compliance/Soft Skills, Gamification Points/Badges/Leaderboard, Spaced Repetition Algorithm optimale Wiederholung, Learning Streaks Consecutive Days, Social Learning Share Progress, Completion Rate Tracking (ApexCharts), Personalized Learning Path AI-basiert, Offline Download Lessons, GSAP Micro Learning Animations - USE CASE: DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition",
        "overview": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100-prompts:prompt-100",
        "title": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation",
        "prompt_number": 100,
        "prompt": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: 360° Feedback Self/Peers/Manager/Customers, Skill Assessment Radar Chart (ApexCharts) Produkte/Sales/Compliance/Soft Skills/Digital, Competency Framework DVAG-Standards, Performance Evaluation Quarterly, Development Plan basierend auf Gaps, Strength Finder Top Talents, Career Path Recommendation, Promotion Readiness Score, Skill Gap Prioritization, Training Recommendations personalisiert, Progress Tracking Over Time (D3.js Line Chart), Coaching Sessions Buchung, GSAP Assessment Animations - USE CASE: DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps ## Hinweis Quelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).",
        "overview": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps ## Hinweis Quelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).",
        "source": "dvag-100-prompts.md",
        "source_path": "dvag-100-prompts.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-601",
        "title": "erstelle eine Elektronik-Inventar-Datenbank mit Garantie-Tracking",
        "prompt_number": 601,
        "prompt": "erstelle eine Elektronik-Inventar-Datenbank mit Garantie-Tracking - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Geräte-Stammdaten Hersteller/Modell/Seriennummer/Kaufdatum/Kaufpreis, Garantie-Ablauf-Tracking mit Ampel-Warnung nahender Fristen, Raum-Zuordnung pro Gerät Wohnzimmer/Küche/Büro, Foto-Anhang pro Gerät als Beleg, Kaufbeleg-Upload-Mockup Rechnung verknüpft, Volltextsuche mit Filtern nach Kategorie/Raum/Hersteller, Sortierbare Tabellenansicht nach Kaufdatum/Wert/Garantie-Status, Verknüpfung zu Versicherungs-Datensätzen bei Diebstahl/Schaden, Duplikat-Erkennung bei Seriennummer-Eingabe, Datenvalidierung Pflichtfelder und Preisformat vor Speichern, Import/Export als CSV und JSON für Versicherungsmeldungen, Backup/Restore-Funktion gesamte Inventar-Datenbank, Gesamtwert-Dashboard nach Raum und Kategorie (ApexCharts Treemap), GSAP Karten-Einblend-Animationen bei neuen Einträgen - USE CASE: Haushalte dokumentieren den Wiederbeschaffungswert ihrer Elektronikgeräte lückenlos für den Schadensfall, Versicherungsnehmer liefern im Schadensfall sofort eine vollständige belegte Liste statt aus dem Gedächtnis zu rekonstruieren.",
        "overview": "erstelle eine Elektronik-Inventar-Datenbank mit Garantie-Tracking",
        "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Haushalte dokumentieren den Wiederbeschaffungswert ihrer Elektronikgeräte lückenlos für den Schadensfall, Versicherungsnehmer liefern im Schadensfall sofort eine vollständige belegte Liste statt aus dem Gedächtnis zu rekonstruieren.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-602",
        "title": "entwickle eine Möbel-Inventar-Datenbank mit Zustands-Historie",
        "prompt_number": 602,
        "prompt": "entwickle eine Möbel-Inventar-Datenbank mit Zustands-Historie - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Möbelstück-Stammdaten Hersteller/Material/Kaufdatum/Kaufpreis/Zustand, Zustands-Historie mit Fotos über Zeit, Raum-Grundriss-Zuordnung welches Möbel in welchem Zimmer, Reparatur-und-Pflege-Log pro Möbelstück, Volltextsuche mit Filtern nach Raum/Material/Zustand, Sortierbare Ansicht nach Wert/Alter/Zustand, Verknüpfung zu Kaufbelegen und Herstellergarantien, Duplikat-Erkennung bei ähnlichen Einträgen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Umzugsplanung, Backup/Restore gesamter Möbel-Datenbestand, Wertverlust-Simulation über Zeit (ApexCharts Line), Umzugs-Checkliste-Modus alle Möbel eines Raums, GSAP Raum-Wechsel-Animationen - USE CASE: Mieter und Eigentümer dokumentieren ihren Möbelbestand für Umzüge und Versicherungsfälle systematisch, die Zustands-Historie schafft Nachweise bei Streitigkeiten über Möbelschäden.",
        "overview": "entwickle eine Möbel-Inventar-Datenbank mit Zustands-Historie",
        "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Mieter und Eigentümer dokumentieren ihren Möbelbestand für Umzüge und Versicherungsfälle systematisch, die Zustands-Historie schafft Nachweise bei Streitigkeiten über Möbelschäden.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-603",
        "title": "programmiere eine Werkzeug- und Heimwerker-Inventar-Datenbank mit Garantie/Leihstatus",
        "prompt_number": 603,
        "prompt": "programmiere eine Werkzeug- und Heimwerker-Inventar-Datenbank mit Garantie/Leihstatus - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Werkzeug-Stammdaten Typ/Hersteller/Kaufdatum/Garantie-Ablauf, Leihstatus-Tracking wer hat welches Werkzeug gerade ausgeliehen, Standort-Zuordnung Werkstatt/Keller/Garage-Regal, Wartungs-Intervall-Erinnerung für Akkugeräte/Maschinen, Volltextsuche mit Filtern nach Kategorie/Standort/Verfügbarkeit, Sortierbare Ansicht nach Kaufdatum/Garantie-Status/Nutzungshäufigkeit, Verknüpfung zwischen Werkzeug und Projekten wofür verwendet, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON, Backup/Restore-Funktion, Nutzungsstatistik meistgenutzte Werkzeuge (ApexCharts Balken), Rückgabe-Erinnerung überfällige Leihgaben, GSAP Regal-Ansicht-Animationen - USE CASE: Heimwerker behalten trotz wachsender Werkzeugsammlung den Überblick über Standort und Garantiestatus, verliehene Werkzeuge an Nachbarn oder Familie werden nicht mehr vergessen.",
        "overview": "programmiere eine Werkzeug- und Heimwerker-Inventar-Datenbank mit Garantie/Leihstatus",
        "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Heimwerker behalten trotz wachsender Werkzeugsammlung den Überblick über Standort und Garantiestatus, verliehene Werkzeuge an Nachbarn oder Familie werden nicht mehr vergessen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-604",
        "title": "baue einen Münzsammlung-Katalog (Numismatik)",
        "prompt_number": 604,
        "prompt": "baue einen Münzsammlung-Katalog (Numismatik) - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Münz-Katalogdaten Prägejahr/Nominal/Land/Erhaltungsgrad/Material, Katalognummer-Verknüpfung Referenzwerke, Foto-Dokumentation Vorder-und-Rückseite pro Münze, Marktwert-Schätzung-Feld mit Verlaufs-Historie, Volltextsuche mit Filtern nach Land/Epoche/Erhaltungsgrad, Sortierbare Sammlung nach Wert/Jahr/Seltenheit, Verknüpfung zu Erwerbs-Belegen und Händlerkontakten, Duplikat-Erkennung gleiche Münze bereits erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Versicherungsnachweis, Backup/Restore gesamte Sammlung, Sammlungswert-Entwicklung über Zeit (ApexCharts Line), Wunschlisten-Modus fehlende Münzen einer Serie, GSAP Vitrinen-Ansicht-Animationen - USE CASE: Münzsammler katalogisieren ihre wachsende Sammlung strukturiert statt in Karteikarten oder Excel, der geschätzte Gesamtwert dient als Nachweis gegenüber der Hausratversicherung.",
        "overview": "baue einen Münzsammlung-Katalog (Numismatik)",
        "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Münzsammler katalogisieren ihre wachsende Sammlung strukturiert statt in Karteikarten oder Excel, der geschätzte Gesamtwert dient als Nachweis gegenüber der Hausratversicherung.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-605",
        "title": "erstelle einen Briefmarkensammlung-Katalog (Philatelie)",
        "prompt_number": 605,
        "prompt": "erstelle einen Briefmarkensammlung-Katalog (Philatelie) - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Briefmarken-Stammdaten Ausgabejahr/Land/Motiv/Zähnung/Erhaltungszustand, Album-Seiten-Zuordnung virtuelle Anordnung, Katalognummer-Referenz Michel/Yvert, Foto-Scan-Anhang pro Marke, Volltextsuche mit Filtern nach Land/Motiv/Jahr, Sortierbare Ansicht nach Wert/Seltenheit/Zustand, Verknüpfung zu Themenserien zusammengehörige Ausgaben, Duplikat-Erkennung beim Erfassen, Datenvalidierung Pflichtfelder und Jahresformat, Import/Export CSV/JSON, Backup/Restore-Funktion, Sammlungsstatistik nach Ländern und Epochen (ApexCharts Donut), Fehlbestands-Liste noch fehlende Marken einer Serie, GSAP Album-Blättern-Animationen - USE CASE: Philatelisten verwalten umfangreiche Sammlungen digital mit sofortigem Überblick über Lücken in Themenserien, die Album-Seiten-Zuordnung erleichtert die physische Neuordnung der realen Sammlung.",
        "overview": "erstelle einen Briefmarkensammlung-Katalog (Philatelie)",
        "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Philatelisten verwalten umfangreiche Sammlungen digital mit sofortigem Überblick über Lücken in Themenserien, die Album-Seiten-Zuordnung erleichtert die physische Neuordnung der realen Sammlung.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-606",
        "title": "entwickle eine Vinyl-Sammlung-Katalog-Datenbank",
        "prompt_number": 606,
        "prompt": "entwickle eine Vinyl-Sammlung-Katalog-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schallplatten-Stammdaten Interpret/Album/Pressjahr/Label/Zustand-Cover-und-Vinyl, Genre- und Stimmungs-Tags, Hörprotokoll wann zuletzt gespielt, Wert-Schätzung nach Presswerk und Seltenheit, Volltextsuche mit Filtern nach Interpret/Genre/Jahrzehnt, Sortierbare Regalansicht nach Label/Zustand/Wert, Verknüpfung zu Konzertbesuchen oder Erinnerungen pro Album, Duplikat-Erkennung bereits vorhandene Pressung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Versicherung, Backup/Restore gesamte Sammlung, Sammlungswert- und Genre-Verteilung (ApexCharts Treemap), Wunschliste noch fehlende Pressungen, GSAP Plattencover-Flip-Animationen - USE CASE: Vinyl-Sammler dokumentieren Presswerk-Details und Zustand für den Wiederverkaufswert präzise, Musikliebhaber erhalten einen visuellen Überblick über Jahrzehnte und Genres der eigenen Sammlung.",
        "overview": "entwickle eine Vinyl-Sammlung-Katalog-Datenbank",
        "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Vinyl-Sammler dokumentieren Presswerk-Details und Zustand für den Wiederverkaufswert präzise, Musikliebhaber erhalten einen visuellen Überblick über Jahrzehnte und Genres der eigenen Sammlung.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-607",
        "title": "programmiere eine Weinkeller-Datenbank mit Trinkreife-Tracking",
        "prompt_number": 607,
        "prompt": "programmiere eine Weinkeller-Datenbank mit Trinkreife-Tracking - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wein-Stammdaten Weingut/Jahrgang/Rebsorte/Region/Trinkreife-Fenster, Lagerort-Zuordnung Regal/Fach im Weinkeller, Trinkreife-Erinnerung optimales Trinkfenster mit Ampel, Verkostungsnotizen pro Flasche mit Bewertung, Volltextsuche mit Filtern nach Region/Rebsorte/Jahrgang, Sortierbare Ansicht nach Trinkreife/Wert/Lagerort, Verknüpfung zu Menü-Empfehlungen Speise-Wein-Pairing, Duplikat-Erkennung gleiche Flasche mehrfach erfasst, Datenvalidierung Pflichtfelder und Jahrgangs-Plausibilität, Import/Export CSV/JSON für Versicherungswert, Backup/Restore-Funktion, Bestandswert- und Trinkreife-Übersicht (ApexCharts Gauge), Nachkauf-Erinnerung bei Lieblingsweinen zur Neige, GSAP Regal-Fach-Animationen - USE CASE: Weinliebhaber behalten bei wachsendem Bestand den Überblick welche Flasche wann getrunken werden sollte, Sammler mit Investment-Weinen dokumentieren Lagerbedingungen und Wert für Versicherung und Wiederverkauf.",
        "overview": "programmiere eine Weinkeller-Datenbank mit Trinkreife-Tracking",
        "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Weinliebhaber behalten bei wachsendem Bestand den Überblick welche Flasche wann getrunken werden sollte, Sammler mit Investment-Weinen dokumentieren Lagerbedingungen und Wert für Versicherung und Wiederverkauf.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-608",
        "title": "baue einen generalisierten Sammelobjekte-Katalog Comics/Actionfiguren/Modellautos",
        "prompt_number": 608,
        "prompt": "baue einen generalisierten Sammelobjekte-Katalog Comics/Actionfiguren/Modellautos - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kategorie-übergreifende Sammelobjekt-Stammdaten Sammelkarten/Comics/Actionfiguren/Modellautos mit Zustandsgrad, Seltenheits-Klassifizierung pro Objekttyp, Foto-Dokumentation mehrere Ansichten pro Objekt, Erwerbs-Historie Kaufpreis und Quelle, Volltextsuche mit Filtern nach Kategorie/Serie/Zustand, Sortierbare Sammlung nach Wert/Seltenheit/Erwerbsdatum, Verknüpfung zwischen zusammengehörigen Sets und Serien, Duplikat-Erkennung beim Erfassen neuer Objekte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Sammlungswert-Entwicklung nach Kategorie (ApexCharts Balken), Vollständigkeits-Tracker fehlende Objekte einer Serie, GSAP Vitrinen-Karten-Animationen - USE CASE: Sammler verschiedenster Nischen von Comics bis Modellautos nutzen eine einzige flexible Datenbank statt spezialisierter Einzeltools, die Vollständigkeits-Anzeige motiviert zum gezielten Nachkauf fehlender Serienobjekte.",
        "overview": "baue einen generalisierten Sammelobjekte-Katalog Comics/Actionfiguren/Modellautos",
        "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Sammler verschiedenster Nischen von Comics bis Modellautos nutzen eine einzige flexible Datenbank statt spezialisierter Einzeltools, die Vollständigkeits-Anzeige motiviert zum gezielten Nachkauf fehlender Serienobjekte.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-609",
        "title": "erstelle ein Hausrat-Versicherungsregister für Vermögensgegenstände",
        "prompt_number": 609,
        "prompt": "erstelle ein Hausrat-Versicherungsregister für Vermögensgegenstände - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vermögensgegenstand-Stammdaten Kategorie/Anschaffungswert/Wiederbeschaffungswert/Kaufdatum, Verknüpfung zu Kaufbelegen und Fotos als Schadensnachweis, Raum-Zuordnung für Schadenslokalisierung, Versicherungspolicen-Zuordnung welcher Gegenstand über welche Police läuft, Volltextsuche mit Filtern nach Kategorie/Raum/Wertklasse, Sortierbare Ansicht nach Wert/Alter/Police, Verknüpfung zu Schadensfällen historisch gemeldete Vorfälle, Duplikat-Erkennung bei Mehrfacherfassung, Datenvalidierung Pflichtfelder und Wertformat vor Speichern, Import/Export CSV/JSON als Beleg für Versicherer, Backup/Restore-Funktion Gesamtregister, Gesamtwert-Dashboard nach Kategorie und Raum (ApexCharts Treemap), Unterversicherungs-Warnung bei Wertsprüngen, GSAP Dashboard-Update-Animationen - USE CASE: Haushalte erstellen ein versicherungstaugliches Vermögensregister das im Schadensfall sofort belastbare Nachweise liefert, die Unterversicherungs-Warnung hilft die Hausratversicherung rechtzeitig anzupassen.",
        "overview": "erstelle ein Hausrat-Versicherungsregister für Vermögensgegenstände",
        "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Haushalte erstellen ein versicherungstaugliches Vermögensregister das im Schadensfall sofort belastbare Nachweise liefert, die Unterversicherungs-Warnung hilft die Hausratversicherung rechtzeitig anzupassen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-610",
        "title": "entwickle eine Kunst- und Antiquitäten-Sammlung-Datenbank mit Provenienz",
        "prompt_number": 610,
        "prompt": "entwickle eine Kunst- und Antiquitäten-Sammlung-Datenbank mit Provenienz - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kunstobjekt-Stammdaten Künstler/Epoche/Technik/Maße/Erwerbsjahr, Provenienz-Dokumentation lückenlose Besitzerkette, Zertifikats-und-Echtheitsnachweis-Anhang, Zustandsberichte über Zeit mit Restaurierungs-Historie, Volltextsuche mit Filtern nach Künstler/Epoche/Wertklasse, Sortierbare Ansicht nach Wert/Erwerbsjahr/Zustand, Verknüpfung zu Ausstellungen wo Objekt gezeigt wurde, Duplikat-Erkennung bei Katalogisierung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Gutachten und Versicherung, Backup/Restore gesamte Sammlung, Wertentwicklung nach Künstler und Epoche (ApexCharts Line), Versicherungswert-Gutachten-Erinnerung bei Fälligkeit, GSAP Galerie-Ansicht-Animationen - USE CASE: Kunstsammler dokumentieren Provenienz und Zustand ihrer Objekte lückenlos für Wiederverkauf und Versicherung, die Ausstellungs-Verknüpfung schafft einen nachvollziehbaren kulturhistorischen Werdegang jedes Stücks. ## Kategorie 2: KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "overview": "entwickle eine Kunst- und Antiquitäten-Sammlung-Datenbank mit Provenienz",
        "category": "PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Kunstsammler dokumentieren Provenienz und Zustand ihrer Objekte lückenlos für Wiederverkauf und Versicherung, die Ausstellungs-Verknüpfung schafft einen nachvollziehbaren kulturhistorischen Werdegang jedes Stücks. ## Kategorie 2: KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-611",
        "title": "programmiere eine persönliche CRM-Kontaktdatenbank mit Beziehungs-Netzwerk",
        "prompt_number": 611,
        "prompt": "programmiere eine persönliche CRM-Kontaktdatenbank mit Beziehungs-Netzwerk - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kontakt-Stammdaten Name/Beziehungstyp/Kennenlern-Kontext/Kontaktdaten, Interaktions-Historie Anrufe/Treffen/Nachrichten chronologisch, Wiedervorlage-Erinnerung längere Zeit nicht gemeldet, Beziehungs-Netzwerk-Visualisierung wer kennt wen (D3.js Force-Graph), Volltextsuche mit Filtern nach Beziehungstyp/Tags/Ort, Sortierbare Ansicht nach letztem Kontakt/Wichtigkeit, Verknüpfung zwischen Kontakten und gemeinsamen Ereignissen, Duplikat-Erkennung ähnlicher Namen beim Anlegen, Datenvalidierung Pflichtfelder und E-Mail-Format, Import/Export CSV/vCard/JSON, Backup/Restore gesamte Kontaktdatenbank, Kontakthäufigkeits-Statistik pro Beziehungstyp (ApexCharts), Geburtstags-und-Jahrestags-Erinnerung, GSAP Netzwerk-Graph-Animationen - USE CASE: Privatpersonen pflegen ihr persönliches Beziehungsnetzwerk aktiv statt es dem Zufall zu überlassen, die Wiedervorlage-Erinnerung verhindert dass wichtige Kontakte über Jahre einschlafen.",
        "overview": "programmiere eine persönliche CRM-Kontaktdatenbank mit Beziehungs-Netzwerk",
        "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 2,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Privatpersonen pflegen ihr persönliches Beziehungsnetzwerk aktiv statt es dem Zufall zu überlassen, die Wiedervorlage-Erinnerung verhindert dass wichtige Kontakte über Jahre einschlafen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-612",
        "title": "baue eine Freelancer-Klienten-CRM-Datenbank",
        "prompt_number": 612,
        "prompt": "baue eine Freelancer-Klienten-CRM-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klienten-Stammdaten Firma/Ansprechpartner/Branche/Akquise-Quelle, Projekt-Historie pro Klient verknüpft, Angebots-und-Auftrags-Status-Tracking, Kommunikations-Log E-Mails/Calls/Meetings, Volltextsuche mit Filtern nach Branche/Status/Umsatzklasse, Sortierbare Ansicht nach Umsatz/letztem Kontakt/Status, Verknüpfung zu Rechnungen und offenen Posten, Duplikat-Erkennung bei Firmenname-Ähnlichkeit, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Steuerberater, Backup/Restore-Funktion, Umsatz-pro-Klient-Dashboard (ApexCharts Balken), Wiedervorlage-Erinnerung für Follow-ups, GSAP Klienten-Karten-Animationen - USE CASE: Freelancer verwalten ihre Kundenbeziehungen und Auftragshistorie zentral statt in verstreuten Notizen, das Umsatz-Dashboard zeigt sofort welche Klienten am wertvollsten sind.",
        "overview": "baue eine Freelancer-Klienten-CRM-Datenbank",
        "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 2,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Freelancer verwalten ihre Kundenbeziehungen und Auftragshistorie zentral statt in verstreuten Notizen, das Umsatz-Dashboard zeigt sofort welche Klienten am wertvollsten sind.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-613",
        "title": "erstelle eine Alumni-Netzwerk-Datenbank für Hochschulen",
        "prompt_number": 613,
        "prompt": "erstelle eine Alumni-Netzwerk-Datenbank für Hochschulen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Absolventen-Stammdaten Abschlussjahr/Studiengang/aktuelle-Position/Firma, Karriereweg-Historie pro Alumnus, Mentoring-Bereitschaft-Kennzeichnung wer hilft aktuellen Studierenden, Regionale-Gruppen-Zuordnung Standort-Cluster, Volltextsuche mit Filtern nach Jahrgang/Studiengang/Branche, Sortierbare Ansicht nach Abschlussjahr/Branche/Region, Verknüpfung zwischen Alumni und Veranstaltungen Teilnahme-Historie, Duplikat-Erkennung bei Neuanmeldung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Verbandsverwaltung, Backup/Restore gesamte Datenbank, Karriere-Verteilung nach Branchen (ApexCharts Sankey), Spendenbereitschafts-Tracking-Mockup, GSAP Netzwerk-Karten-Animationen - USE CASE: Ehemaligenvereine und Hochschulen pflegen den Kontakt zu Absolventen über Jahrzehnte strukturiert, aktuelle Studierende finden über die Mentoring-Kennzeichnung passende Ansprechpartner für den Berufseinstieg.",
        "overview": "erstelle eine Alumni-Netzwerk-Datenbank für Hochschulen",
        "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 2,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Ehemaligenvereine und Hochschulen pflegen den Kontakt zu Absolventen über Jahrzehnte strukturiert, aktuelle Studierende finden über die Mentoring-Kennzeichnung passende Ansprechpartner für den Berufseinstieg.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-614",
        "title": "entwickle eine Familie-und-Freunde-wichtige-Daten-Datenbank",
        "prompt_number": 614,
        "prompt": "entwickle eine Familie-und-Freunde-wichtige-Daten-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Personen-Stammdaten Name/Beziehung/Geburtstag/Jahrestag/Geschenk-Vorlieben, Wichtige-Termine-Kalenderansicht Geburtstage/Hochzeitstage/Gedenktage, Geschenkideen-Liste pro Person mit Budget, Erinnerungs-Vorlauf konfigurierbar Tage vor Termin, Volltextsuche mit Filtern nach Beziehungstyp/Monat, Sortierbare Ansicht nach nächstem Termin/Beziehung, Verknüpfung zwischen Personen gleicher Familie, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON/Kalenderformat, Backup/Restore-Funktion, Termine-pro-Monat-Übersicht (ApexCharts Balken), Geschenke-Budget-Tracking über das Jahr, GSAP Kalender-Monatswechsel-Animationen - USE CASE: Familien behalten trotz vieler wichtiger Termine den Überblick über Geburtstage und Jahrestage aller Angehörigen, die Geschenkideen-Liste verhindert Last-Minute-Stress vor jedem Anlass.",
        "overview": "entwickle eine Familie-und-Freunde-wichtige-Daten-Datenbank",
        "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 2,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Familien behalten trotz vieler wichtiger Termine den Überblick über Geburtstage und Jahrestage aller Angehörigen, die Geschenkideen-Liste verhindert Last-Minute-Stress vor jedem Anlass.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-615",
        "title": "programmiere einen professionellen Empfehlungsnetzwerk-Tracker",
        "prompt_number": 615,
        "prompt": "programmiere einen professionellen Empfehlungsnetzwerk-Tracker - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kontakt-Stammdaten Name/Fachgebiet/Vertrauensstufe/Empfehlungshistorie, Empfehlungs-Tracking wer hat wen an wen vermittelt, Netzwerk-Visualisierung Empfehlungsketten (D3.js Sankey), Gegenseitigkeits-Score wie oft wurde zurück-empfohlen, Volltextsuche mit Filtern nach Fachgebiet/Region/Vertrauensstufe, Sortierbare Ansicht nach Empfehlungsanzahl/letztem Kontakt, Verknüpfung zwischen Empfehlungen und resultierenden Aufträgen, Duplikat-Erkennung bei Kontaktanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamtes Netzwerk, Empfehlungs-Erfolgsquote-Dashboard (ApexCharts), Dankes-Erinnerung nach erfolgreicher Vermittlung, GSAP Empfehlungsketten-Animationen - USE CASE: Selbstständige und Berater pflegen ihr Netzwerk aus gegenseitigen Weiterempfehlungen systematisch statt informell im Kopf, die Erfolgsquote zeigt welche Netzwerkpartner tatsächlich werthaltige Aufträge vermitteln.",
        "overview": "programmiere einen professionellen Empfehlungsnetzwerk-Tracker",
        "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 2,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Selbstständige und Berater pflegen ihr Netzwerk aus gegenseitigen Weiterempfehlungen systematisch statt informell im Kopf, die Erfolgsquote zeigt welche Netzwerkpartner tatsächlich werthaltige Aufträge vermitteln.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-616",
        "title": "baue eine Networking-Visitenkarten-Datenbank mit Follow-up-Tracking",
        "prompt_number": 616,
        "prompt": "baue eine Networking-Visitenkarten-Datenbank mit Follow-up-Tracking - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Visitenkarten-Stammdaten Name/Firma/Position/Event-Kontext-Kennenlernen, Foto-Anhang gescannte Visitenkarte-Mockup, Follow-up-Status-Tracking kontaktiert/wartend/erledigt, Tag-System nach Branche/Interesse/Veranstaltung, Volltextsuche mit Filtern nach Event/Branche/Status, Sortierbare Ansicht nach Kennenlern-Datum/Follow-up-Status, Verknüpfung zu Veranstaltungen bei denen Kontakt entstand, Duplikat-Erkennung gleiche Person mehrfach gescannt, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/vCard/JSON, Backup/Restore-Funktion, Netzwerk-Wachstum-pro-Event-Statistik (ApexCharts), Erinnerung für ausstehende Follow-ups, GSAP Karten-Scan-Animationen - USE CASE: Vielbesucher von Konferenzen und Messen wandeln gesammelte Visitenkarten systematisch in gepflegte Kontakte um, das Follow-up-Tracking verhindert dass wertvolle neue Kontakte nach dem Event verpuffen.",
        "overview": "baue eine Networking-Visitenkarten-Datenbank mit Follow-up-Tracking",
        "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 2,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Vielbesucher von Konferenzen und Messen wandeln gesammelte Visitenkarten systematisch in gepflegte Kontakte um, das Follow-up-Tracking verhindert dass wertvolle neue Kontakte nach dem Event verpuffen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-617",
        "title": "erstelle eine Vermieter-Mieter-Verwaltungsdatenbank",
        "prompt_number": 617,
        "prompt": "erstelle eine Vermieter-Mieter-Verwaltungsdatenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mieter-Stammdaten Name/Einheit/Mietbeginn/Kontaktdaten, Mietvertrags-Verknüpfung pro Mieter mit Konditionen, Kommunikations-Log Anfragen/Mängelmeldungen, Zahlungshistorie-Übersicht pro Mieteinheit, Volltextsuche mit Filtern nach Einheit/Status/Mietdauer, Sortierbare Ansicht nach Mietbeginn/Einheit/offenen-Punkten, Verknüpfung zwischen Mietern und gemeldeten Mängeln, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON für Hausverwaltung, Backup/Restore gesamte Mieterdatenbank, Belegungs-und-Fluktuations-Statistik (ApexCharts), Vertragsverlängerungs-Erinnerung vor Fristablauf, GSAP Einheiten-Übersichts-Animationen - USE CASE: Privatvermieter mit mehreren Einheiten behalten Mietverhältnisse und Kommunikation zentral im Blick statt in verstreuten E-Mails, die Fluktuationsstatistik zeigt frühzeitig Handlungsbedarf bei häufigen Mieterwechseln.",
        "overview": "erstelle eine Vermieter-Mieter-Verwaltungsdatenbank",
        "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 2,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Privatvermieter mit mehreren Einheiten behalten Mietverhältnisse und Kommunikation zentral im Blick statt in verstreuten E-Mails, die Fluktuationsstatistik zeigt frühzeitig Handlungsbedarf bei häufigen Mieterwechseln.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-618",
        "title": "entwickle eine Nachbarschaftsnetzwerk-Datenbank für gegenseitige Hilfe",
        "prompt_number": 618,
        "prompt": "entwickle eine Nachbarschaftsnetzwerk-Datenbank für gegenseitige Hilfe - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Nachbar-Stammdaten Name/Adresse/Haushaltsgröße/Fähigkeiten-Angebot, Gegenseitige-Hilfe-Tracking wer hat wem wann geholfen, Ressourcen-Tausch-Verzeichnis Leihgaben zwischen Haushalten, Notfallkontakt-Kennzeichnung für Vertretungen im Urlaub, Volltextsuche mit Filtern nach Straße/Fähigkeit/Verfügbarkeit, Sortierbare Ansicht nach Adresse/letzter-Interaktion, Verknüpfung zwischen Hilfegesuchen und Helfern, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Aktivitäts-Statistik Hilfsnetzwerk (ApexCharts), Nachbarschaftsfest-Planungs-Verknüpfung, GSAP Nachbarschaftskarten-Animationen - USE CASE: Nachbarschaften organisieren gegenseitige Unterstützung und Ressourcentausch strukturiert statt über lose WhatsApp-Gruppen, die Notfallkontakt-Funktion schafft Sicherheit bei kurzfristiger Abwesenheit.",
        "overview": "entwickle eine Nachbarschaftsnetzwerk-Datenbank für gegenseitige Hilfe",
        "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 2,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Nachbarschaften organisieren gegenseitige Unterstützung und Ressourcentausch strukturiert statt über lose WhatsApp-Gruppen, die Notfallkontakt-Funktion schafft Sicherheit bei kurzfristiger Abwesenheit.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-619",
        "title": "programmiere einen Mentor-Mentee-Beziehungstracker",
        "prompt_number": 619,
        "prompt": "programmiere einen Mentor-Mentee-Beziehungstracker - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mentoring-Beziehungs-Stammdaten Mentor/Mentee/Start-Datum/Zielsetzung, Sitzungs-Protokoll-Log pro Treffen mit Themen, Fortschritts-Tracking vereinbarte Ziele erreicht/offen, Feedback-Formular nach jeder Sitzung, Volltextsuche mit Filtern nach Status/Themenbereich, Sortierbare Ansicht nach Startdatum/Fortschritt, Verknüpfung mehrerer Mentees zu einem Mentor, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Programmverwaltung, Backup/Restore gesamtes Programm, Fortschritts-Dashboard über alle Mentoring-Paare (ApexCharts Radar), Erinnerung für nächste vereinbarte Sitzung, GSAP Fortschritts-Animationen - USE CASE: Mentoring-Programme in Unternehmen oder Vereinen dokumentieren den Verlauf einzelner Mentoring-Beziehungen strukturiert, Programmverantwortliche erkennen anhand des Dashboards welche Paarungen zusätzliche Unterstützung brauchen.",
        "overview": "programmiere einen Mentor-Mentee-Beziehungstracker",
        "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 2,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Mentoring-Programme in Unternehmen oder Vereinen dokumentieren den Verlauf einzelner Mentoring-Beziehungen strukturiert, Programmverantwortliche erkennen anhand des Dashboards welche Paarungen zusätzliche Unterstützung brauchen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-620",
        "title": "baue eine Lieferanten-Beziehungsdatenbank für Kleinunternehmen",
        "prompt_number": 620,
        "prompt": "baue eine Lieferanten-Beziehungsdatenbank für Kleinunternehmen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lieferanten-Stammdaten Firma/Ansprechpartner/Produktkategorie/Zahlungsziel, Bestellhistorie pro Lieferant verknüpft, Zuverlässigkeits-Bewertung Lieferzeit-Einhaltung, Preisentwicklungs-Tracking pro Artikel über Zeit, Volltextsuche mit Filtern nach Kategorie/Bewertung/Region, Sortierbare Ansicht nach Bestellvolumen/Zuverlässigkeit, Verknüpfung zwischen Lieferanten und bestellten Artikeln, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Buchhaltung, Backup/Restore-Funktion, Lieferanten-Performance-Dashboard (ApexCharts), Vertragsverlängerungs-Erinnerung, GSAP Lieferanten-Karten-Animationen - USE CASE: Kleinunternehmen behalten bei wachsender Lieferantenzahl Zuverlässigkeit und Konditionen im Überblick, das Performance-Dashboard erleichtert die Entscheidung bei der nächsten Vertragsverhandlung. ## Kategorie 3: BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "overview": "baue eine Lieferanten-Beziehungsdatenbank für Kleinunternehmen",
        "category": "KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 2,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Kleinunternehmen behalten bei wachsender Lieferantenzahl Zuverlässigkeit und Konditionen im Überblick, das Performance-Dashboard erleichtert die Entscheidung bei der nächsten Vertragsverhandlung. ## Kategorie 3: BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-621",
        "title": "erstelle einen persönlichen Bücher-Bibliothekskatalog mit ISBN-Lookup-Mock",
        "prompt_number": 621,
        "prompt": "erstelle einen persönlichen Bücher-Bibliothekskatalog mit ISBN-Lookup-Mock - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buch-Stammdaten Titel/Autor/ISBN/Genre/Erscheinungsjahr, ISBN-Lookup-Mock automatisches Ausfüllen der Metadaten, Lesestatus-Tracking gelesen/aktuell-lesend/geplant, Bewertungs-und-Rezensions-Feld pro Buch, Volltextsuche mit Filtern nach Genre/Autor/Lesestatus, Sortierbare Ansicht nach Erscheinungsjahr/Bewertung/Autor, Verknüpfung zwischen Büchern derselben Reihe, Duplikat-Erkennung bei ISBN-Übereinstimmung, Datenvalidierung Pflichtfelder und ISBN-Format-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Bibliothek, Lesestatistik nach Genre und Jahr (ApexCharts Balken), Leseziel-Tracker Bücher pro Jahr, GSAP Bücherregal-Animationen - USE CASE: Vielleser katalogisieren ihre wachsende Bibliothek mit automatisiertem Metadaten-Abgleich statt manueller Eingabe, das Leseziel-Tracking motiviert zum regelmäßigen Weiterlesen über das Jahr.",
        "overview": "erstelle einen persönlichen Bücher-Bibliothekskatalog mit ISBN-Lookup-Mock",
        "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "category_number": 3,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Vielleser katalogisieren ihre wachsende Bibliothek mit automatisiertem Metadaten-Abgleich statt manueller Eingabe, das Leseziel-Tracking motiviert zum regelmäßigen Weiterlesen über das Jahr.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-622",
        "title": "entwickle einen Bücher-Verleih-Tracker für ausgeliehene Bücher",
        "prompt_number": 622,
        "prompt": "entwickle einen Bücher-Verleih-Tracker für ausgeliehene Bücher - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verleih-Stammdaten Buchtitel/Ausleiher/Ausleihdatum/vereinbartes-Rückgabedatum, Verknüpfung zum Bibliothekskatalog-Datensatz, Überfällig-Ampel bei verstrichener Rückgabefrist, Erinnerungs-Funktion an Ausleiher, Volltextsuche mit Filtern nach Status/Ausleiher/Buch, Sortierbare Ansicht nach Ausleihdatum/Überfälligkeit, Verknüpfung mehrerer Ausleihen desselben Kontakts, Duplikat-Erkennung gleiches Buch bereits verliehen, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON, Backup/Restore-Funktion, Verleih-Statistik meistverliehene Bücher (ApexCharts), Rückgabe-Historie pro Ausleiher Zuverlässigkeits-Score, GSAP Überfällig-Warnungs-Animationen - USE CASE: Buchbesitzer behalten den Überblick welches Buch bei welchem Freund gerade ausgeliehen ist, der Zuverlässigkeits-Score hilft künftig einzuschätzen wem man bedenkenlos etwas leiht.",
        "overview": "entwickle einen Bücher-Verleih-Tracker für ausgeliehene Bücher",
        "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "category_number": 3,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Buchbesitzer behalten den Überblick welches Buch bei welchem Freund gerade ausgeliehen ist, der Zuverlässigkeits-Score hilft künftig einzuschätzen wem man bedenkenlos etwas leiht.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-623",
        "title": "programmiere eine Film-Watch-Datenbank mit Sehgewohnheiten-Statistik",
        "prompt_number": 623,
        "prompt": "programmiere eine Film-Watch-Datenbank mit Sehgewohnheiten-Statistik - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Film-Stammdaten Titel/Regisseur/Jahr/Genre/Laufzeit, Watch-Status geplant/geschaut/abgebrochen, Bewertungs-und-Notizfeld pro Film, Streaming-Verfügbarkeits-Mockup wo aktuell verfügbar, Volltextsuche mit Filtern nach Genre/Jahr/Bewertung, Sortierbare Ansicht nach Watch-Datum/Bewertung/Genre, Verknüpfung zwischen Filmen und Schauspielern/Regisseuren, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Datenbank, Sehgewohnheiten-Statistik nach Genre und Jahrzehnt (ApexCharts Radar), Watchlist-Priorisierung, GSAP Filmplakat-Flip-Animationen - USE CASE: Filmliebhaber dokumentieren gesehene Filme mit eigener Bewertung statt sich auf externe Portale zu verlassen, die Genre-Statistik zeigt die eigenen Sehgewohnheiten über Jahre hinweg auf.",
        "overview": "programmiere eine Film-Watch-Datenbank mit Sehgewohnheiten-Statistik",
        "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "category_number": 3,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Filmliebhaber dokumentieren gesehene Filme mit eigener Bewertung statt sich auf externe Portale zu verlassen, die Genre-Statistik zeigt die eigenen Sehgewohnheiten über Jahre hinweg auf.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-624",
        "title": "baue eine Serien-Watch-Datenbank mit Fortschritts-Tracking",
        "prompt_number": 624,
        "prompt": "baue eine Serien-Watch-Datenbank mit Fortschritts-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Serien-Stammdaten Titel/Staffeln/Episoden/Genre/Streaming-Anbieter-Mockup, Fortschritts-Tracking zuletzt geschaute Episode pro Serie, Episoden-Bewertung einzeln möglich, Wartestatus-Kennzeichnung auf neue Staffel wartend, Volltextsuche mit Filtern nach Genre/Status/Anbieter, Sortierbare Ansicht nach Fortschritt/Bewertung/zuletzt-geschaut, Verknüpfung zwischen Serien desselben Universums Spin-offs, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Bingewatching-Statistik Episoden pro Woche (ApexCharts Line), Neue-Staffel-Erinnerung, GSAP Fortschrittsbalken-Animationen - USE CASE: Serienfans mit vielen parallel verfolgten Shows behalten den Überblick welche Episode als nächstes ansteht, die Bingewatching-Statistik macht das eigene Sehverhalten transparent nachvollziehbar.",
        "overview": "baue eine Serien-Watch-Datenbank mit Fortschritts-Tracking",
        "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "category_number": 3,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Serienfans mit vielen parallel verfolgten Shows behalten den Überblick welche Episode als nächstes ansteht, die Bingewatching-Statistik macht das eigene Sehverhalten transparent nachvollziehbar.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-625",
        "title": "erstelle einen Musiksammlung-Katalog physisch und digital",
        "prompt_number": 625,
        "prompt": "erstelle einen Musiksammlung-Katalog physisch und digital - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Album-Stammdaten Interpret/Album/Format-CD-Digital/Erscheinungsjahr/Genre, Track-Liste pro Album mit Lieblingssong-Kennzeichnung, Format-Übersicht physisch vs digital pro Album, Hörhäufigkeits-Tracking-Mockup, Volltextsuche mit Filtern nach Interpret/Genre/Format, Sortierbare Ansicht nach Erscheinungsjahr/Genre/Hörhäufigkeit, Verknüpfung zwischen Alben desselben Interpreten Diskografie, Duplikat-Erkennung gleiches Album mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Genre-und-Jahrzehnt-Verteilung (ApexCharts Treemap), Wunschliste noch fehlende Alben, GSAP Albumcover-Galerie-Animationen - USE CASE: Musiksammler mit gemischt physischer und digitaler Sammlung erhalten eine einheitliche Übersicht ihrer gesamten Diskografie, die Genre-Verteilung zeigt die musikalische Bandbreite der eigenen Sammlung.",
        "overview": "erstelle einen Musiksammlung-Katalog physisch und digital",
        "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "category_number": 3,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Musiksammler mit gemischt physischer und digitaler Sammlung erhalten eine einheitliche Übersicht ihrer gesamten Diskografie, die Genre-Verteilung zeigt die musikalische Bandbreite der eigenen Sammlung.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-626",
        "title": "entwickle eine Brettspiel-Sammlung-Datenbank mit Spielverlauf-Log",
        "prompt_number": 626,
        "prompt": "entwickle eine Brettspiel-Sammlung-Datenbank mit Spielverlauf-Log - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brettspiel-Stammdaten Titel/Verlag/Spieleranzahl/Spieldauer/Komplexitätsgrad, Spielverlauf-Log wer hat wann gegen wen gewonnen, Erweiterungs-Verknüpfung Grundspiel und Erweiterungen, Zustands-Dokumentation Vollständigkeit der Spielteile, Volltextsuche mit Filtern nach Spieleranzahl/Dauer/Genre, Sortierbare Ansicht nach Komplexität/Spielanzahl/Bewertung, Verknüpfung zwischen Grundspielen und deren Erweiterungen, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Spielhäufigkeits-und-Gewinnstatistik (ApexCharts Balken), Spieleabend-Vorschlag basierend auf Teilnehmerzahl, GSAP Spielschachtel-Regal-Animationen - USE CASE: Brettspiel-Enthusiasten mit großer Sammlung finden schnell ein passendes Spiel für die aktuelle Gruppengröße, die Gewinnstatistik sorgt für unterhaltsamen Gesprächsstoff an Spieleabenden.",
        "overview": "entwickle eine Brettspiel-Sammlung-Datenbank mit Spielverlauf-Log",
        "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "category_number": 3,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Brettspiel-Enthusiasten mit großer Sammlung finden schnell ein passendes Spiel für die aktuelle Gruppengröße, die Gewinnstatistik sorgt für unterhaltsamen Gesprächsstoff an Spieleabenden.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-627",
        "title": "programmiere eine Comic- und Manga-Sammlung-Datenbank",
        "prompt_number": 627,
        "prompt": "programmiere eine Comic- und Manga-Sammlung-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Comic-Stammdaten Titel/Ausgabe-Nummer/Verlag/Zeichner/Zustand, Serien-Verknüpfung fortlaufende Ausgaben einer Reihe, Sammelband-Zuordnung Einzelhefte zu Sammelband, Zustandsgrad-Dokumentation mit Fotos, Volltextsuche mit Filtern nach Serie/Verlag/Zustand, Sortierbare Ansicht nach Ausgabe-Nummer/Wert/Zustand, Verknüpfung zwischen Einzelheften und Sammelbänden, Duplikat-Erkennung gleiche Ausgabe mehrfach, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Sammlungslücken-Anzeige fehlende Ausgaben einer Serie, Wertentwicklung seltener Ausgaben (ApexCharts Line), GSAP Comic-Cover-Blätter-Animationen - USE CASE: Comic- und Manga-Sammler behalten bei fortlaufenden Serien den Überblick über fehlende Ausgaben, die Wertentwicklung seltener Erstausgaben unterstützt Kauf- und Verkaufsentscheidungen.",
        "overview": "programmiere eine Comic- und Manga-Sammlung-Datenbank",
        "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "category_number": 3,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Comic- und Manga-Sammler behalten bei fortlaufenden Serien den Überblick über fehlende Ausgaben, die Wertentwicklung seltener Erstausgaben unterstützt Kauf- und Verkaufsentscheidungen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-628",
        "title": "baue eine Videospiel-Sammlung-Datenbank mit Backlog-Statistik",
        "prompt_number": 628,
        "prompt": "baue eine Videospiel-Sammlung-Datenbank mit Backlog-Statistik - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Spiel-Stammdaten Titel/Plattform/Genre/Erscheinungsjahr/Vollständigkeit-OVP, Spielstatus durchgespielt/angefangen/ungespielt, Spielzeit-Tracking-Mockup Stunden investiert, Plattform-Zuordnung physisch/digital pro Konsole, Volltextsuche mit Filtern nach Plattform/Genre/Status, Sortierbare Ansicht nach Spielzeit/Bewertung/Erscheinungsjahr, Verknüpfung zwischen Spielen derselben Reihe, Duplikat-Erkennung gleicher Titel mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Backlog-Statistik ungespielte-vs-gespielte-Spiele (ApexCharts Donut), Wertsteigerung seltener Retro-Titel, GSAP Spielregal-Animationen - USE CASE: Gamer mit großem Backlog behalten den Überblick was noch gespielt werden will versus bereits abgeschlossen ist, Sammler von Retro-Spielen dokumentieren Vollständigkeit und Wert physischer Editionen.",
        "overview": "baue eine Videospiel-Sammlung-Datenbank mit Backlog-Statistik",
        "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "category_number": 3,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Gamer mit großem Backlog behalten den Überblick was noch gespielt werden will versus bereits abgeschlossen ist, Sammler von Retro-Spielen dokumentieren Vollständigkeit und Wert physischer Editionen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-629",
        "title": "erstelle eine Podcast-Bibliothek-Datenbank mit Hörfortschritt",
        "prompt_number": 629,
        "prompt": "erstelle eine Podcast-Bibliothek-Datenbank mit Hörfortschritt - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Podcast-Stammdaten Titel/Host/Kategorie/Episodenanzahl/Abo-Status, Episoden-Fortschritt gehört/ungehört pro Sendung, Lieblingsepisoden-Kennzeichnung mit Notizen, Veröffentlichungsrhythmus-Tracking wöchentlich/unregelmäßig, Volltextsuche mit Filtern nach Kategorie/Abo-Status/Sprache, Sortierbare Ansicht nach Episodenanzahl/zuletzt-gehört, Verknüpfung zwischen ähnlichen Podcasts derselben Kategorie, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Bibliothek, Hörzeit-Statistik nach Kategorie (ApexCharts Balken), Neue-Episode-Erinnerung, GSAP Episoden-Liste-Animationen - USE CASE: Podcast-Hörer mit vielen Abonnements behalten den Hörfortschritt über alle Sendungen zentral im Blick, die Hörzeit-Statistik zeigt welche Themengebiete tatsächlich am meisten Zeit beanspruchen.",
        "overview": "erstelle eine Podcast-Bibliothek-Datenbank mit Hörfortschritt",
        "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "category_number": 3,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Podcast-Hörer mit vielen Abonnements behalten den Hörfortschritt über alle Sendungen zentral im Blick, die Hörzeit-Statistik zeigt welche Themengebiete tatsächlich am meisten Zeit beanspruchen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-630",
        "title": "entwickle ein Zeitschriften-Abo-Archiv mit Ausgaben-Verwaltung",
        "prompt_number": 630,
        "prompt": "entwickle ein Zeitschriften-Abo-Archiv mit Ausgaben-Verwaltung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeitschriften-Stammdaten Titel/Verlag/Erscheinungsrhythmus/Abo-Laufzeit, Ausgaben-Archiv einzelne Hefte mit Erscheinungsdatum, Artikel-Highlights-Notizen pro Ausgabe, Abo-Kosten-Tracking über Zeit, Volltextsuche mit Filtern nach Titel/Kategorie/Jahr, Sortierbare Ansicht nach Erscheinungsdatum/Kategorie, Verknüpfung zwischen Ausgaben und aufbewahrten Artikeln, Duplikat-Erkennung gleiche Ausgabe mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Abo-Kosten-Entwicklung über Jahre (ApexCharts Line), Kündigungs-Erinnerung vor automatischer Verlängerung, GSAP Archiv-Regal-Animationen - USE CASE: Vielleser mehrerer Zeitschriften-Abos behalten Kosten und interessante Artikel über Jahre archiviert, die Kündigungs-Erinnerung verhindert unerwünschte automatische Verlängerungen ungenutzter Abos. ## Kategorie 4: REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "overview": "entwickle ein Zeitschriften-Abo-Archiv mit Ausgaben-Verwaltung",
        "category": "BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)",
        "category_number": 3,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Vielleser mehrerer Zeitschriften-Abos behalten Kosten und interessante Artikel über Jahre archiviert, die Kündigungs-Erinnerung verhindert unerwünschte automatische Verlängerungen ungenutzter Abos. ## Kategorie 4: REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-631",
        "title": "programmiere eine Rezept-Datenbank mit Zutaten-basierter Suche",
        "prompt_number": 631,
        "prompt": "programmiere eine Rezept-Datenbank mit Zutaten-basierter Suche - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten Titel/Zutatenliste/Zubereitungsschritte/Kochzeit/Portionen, Zutaten-basierte-Suche was kann ich mit vorhandenen Zutaten kochen, Kategorisierung nach Küche/Diät/Anlass, Bewertungs-und-Notizfeld nach dem Nachkochen, Volltextsuche mit Filtern nach Zutat/Kategorie/Zubereitungszeit, Sortierbare Ansicht nach Bewertung/Zubereitungszeit/Häufigkeit, Verknüpfung zwischen Rezepten und Zutaten-Datensätzen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Rezeptdatenbank, Meistgekochte-Rezepte-Statistik (ApexCharts Balken), Portionsgrößen-Umrechner, GSAP Rezeptkarten-Flip-Animationen - USE CASE: Hobbyköche mit wachsender Rezeptsammlung finden anhand vorhandener Zutaten sofort passende Gerichte, die Meistgekocht-Statistik zeigt welche Rezepte sich als Familienfavoriten etabliert haben.",
        "overview": "programmiere eine Rezept-Datenbank mit Zutaten-basierter Suche",
        "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "category_number": 4,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Hobbyköche mit wachsender Rezeptsammlung finden anhand vorhandener Zutaten sofort passende Gerichte, die Meistgekocht-Statistik zeigt welche Rezepte sich als Familienfavoriten etabliert haben.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-632",
        "title": "baue eine Essensplanungs-Datenbank verknüpft mit der Rezeptdatenbank",
        "prompt_number": 632,
        "prompt": "baue eine Essensplanungs-Datenbank verknüpft mit der Rezeptdatenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochenplan-Ansicht Frühstück/Mittag/Abend pro Tag, Verknüpfung jedes Planeintrags zu einem Rezept-Datensatz, Automatische-Einkaufsliste-Generierung aus geplanten Rezepten, Nährwert-Summe pro Tag aus verknüpften Rezepten, Volltextsuche mit Filtern nach Rezepttyp/Diät/Woche, Sortierbare Ansicht nach Datum/Mahlzeittyp, Verknüpfung zwischen Wochenplänen und Vorratsdatenbank, Duplikat-Erkennung doppelte Planung gleicher Slot, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Wochenplan-Abwechslungs-Statistik Rezept-Wiederholungsrate (ApexCharts), Resteverwertungs-Vorschlag, GSAP Wochenplan-Drag-Animationen - USE CASE: Familien planen ihre Mahlzeiten für die ganze Woche im Voraus und sparen durch die automatische Einkaufsliste Zeit im Supermarkt, die Verknüpfung zur Rezeptdatenbank verhindert eintönige Wiederholungen.",
        "overview": "baue eine Essensplanungs-Datenbank verknüpft mit der Rezeptdatenbank",
        "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "category_number": 4,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Familien planen ihre Mahlzeiten für die ganze Woche im Voraus und sparen durch die automatische Einkaufsliste Zeit im Supermarkt, die Verknüpfung zur Rezeptdatenbank verhindert eintönige Wiederholungen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-633",
        "title": "erstelle eine Vorrats-Datenbank mit Ablaufverfolgung gegen Lebensmittelverschwendung",
        "prompt_number": 633,
        "prompt": "erstelle eine Vorrats-Datenbank mit Ablaufverfolgung gegen Lebensmittelverschwendung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorrats-Stammdaten Artikel/Menge/Lagerort/Mindesthaltbarkeitsdatum, Ablauf-Ampel bald-ablaufend/abgelaufen mit Sortierung, Lagerort-Zuordnung Kühlschrank/Vorratskammer/Gefrierschrank, Verbrauchs-Historie wann wurde Artikel aufgebraucht, Volltextsuche mit Filtern nach Lagerort/Kategorie/Ablaufstatus, Sortierbare Ansicht nach Ablaufdatum/Menge/Lagerort, Verknüpfung zu Rezepten die den Artikel verwenden, Duplikat-Erkennung gleicher Artikel mehrfach erfasst mit Mengen-Zusammenführung, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Einkaufsliste, Backup/Restore gesamter Vorratsbestand, Lebensmittelverschwendungs-Statistik abgelaufene-vs-verbrauchte-Artikel (ApexCharts), Nachkauf-Erinnerung bei Mindestbestand, GSAP Ablauf-Warnungs-Animationen - USE CASE: Haushalte reduzieren Lebensmittelverschwendung durch rechtzeitige Ablauf-Warnungen und Rezeptvorschläge für bald ablaufende Zutaten, die Verschwendungsstatistik motiviert zu bewussterem Einkaufsverhalten.",
        "overview": "erstelle eine Vorrats-Datenbank mit Ablaufverfolgung gegen Lebensmittelverschwendung",
        "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "category_number": 4,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Haushalte reduzieren Lebensmittelverschwendung durch rechtzeitige Ablauf-Warnungen und Rezeptvorschläge für bald ablaufende Zutaten, die Verschwendungsstatistik motiviert zu bewussterem Einkaufsverhalten.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-634",
        "title": "entwickle eine Ernährungs-Log-Datenbank mit Makronährstoff-Tracking",
        "prompt_number": 634,
        "prompt": "entwickle eine Ernährungs-Log-Datenbank mit Makronährstoff-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mahlzeiten-Log-Stammdaten Datum/Mahlzeit/Lebensmittel/Menge/Kalorien, Nährwert-Datenbank verknüpft Kalorien/Protein/Fett/Kohlenhydrate pro Lebensmittel, Tages-und-Wochen-Nährwertbilanz, Zielwert-Vergleich persönliches Kalorienziel, Volltextsuche mit Filtern nach Lebensmittel/Datum/Mahlzeittyp, Sortierbare Ansicht nach Datum/Kalorienmenge, Verknüpfung zwischen Log-Einträgen und Rezeptdatenbank, Duplikat-Erkennung gleicher Eintrag am selben Tag, Datenvalidierung Pflichtfelder und Mengenformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore-Funktion, Nährwert-Trend über Wochen (ApexCharts Line), Makronährstoff-Verteilung (ApexCharts Donut), GSAP Tagesbilanz-Animationen - USE CASE: Ernährungsbewusste Nutzer dokumentieren ihre tägliche Nahrungsaufnahme strukturiert zur Erreichung persönlicher Ziele, der Trend über Wochen zeigt ob die Ernährungsumstellung tatsächlich greift.",
        "overview": "entwickle eine Ernährungs-Log-Datenbank mit Makronährstoff-Tracking",
        "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "category_number": 4,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Ernährungsbewusste Nutzer dokumentieren ihre tägliche Nahrungsaufnahme strukturiert zur Erreichung persönlicher Ziele, der Trend über Wochen zeigt ob die Ernährungsumstellung tatsächlich greift.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-635",
        "title": "programmiere eine Familienrezepte-Erbe-Datenbank über Generationen",
        "prompt_number": 635,
        "prompt": "programmiere eine Familienrezepte-Erbe-Datenbank über Generationen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten Titel/Herkunft-Familienmitglied/Generation/Anlass, Geschichten-Feld zur Herkunft und Bedeutung des Rezepts, Foto-Anhang handschriftliche Original-Rezeptkarten, Generationen-Verknüpfung wer hat Rezept an wen weitergegeben, Volltextsuche mit Filtern nach Familienzweig/Generation/Anlass, Sortierbare Ansicht nach Generation/Herkunftsperson, Verknüpfung zwischen Varianten desselben Grundrezepts über Generationen, Duplikat-Erkennung ähnlicher Rezepttitel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Familienkochbuch-Druck, Backup/Restore gesamtes Familienarchiv, Herkunfts-Verteilung nach Familienzweig (ApexCharts Treemap), Familienkochbuch-Export-Vorschau, GSAP Generationenkarten-Animationen - USE CASE: Familien bewahren überlieferte Rezepte samt ihrer Entstehungsgeschichte digital für kommende Generationen, das Familienkochbuch-Export-Feature ermöglicht ein gedrucktes Erbstück zu besonderen Anlässen.",
        "overview": "programmiere eine Familienrezepte-Erbe-Datenbank über Generationen",
        "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "category_number": 4,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Familien bewahren überlieferte Rezepte samt ihrer Entstehungsgeschichte digital für kommende Generationen, das Familienkochbuch-Export-Feature ermöglicht ein gedrucktes Erbstück zu besonderen Anlässen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-636",
        "title": "baue eine Restaurant-Favoriten-Reservierungs-Datenbank",
        "prompt_number": 636,
        "prompt": "baue eine Restaurant-Favoriten-Reservierungs-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Restaurant-Stammdaten Name/Küche/Preisklasse/Adresse-Mockup, Besuchs-Historie mit Datum und Anlass, Bewertungs-und-Notizfeld Lieblingsgerichte pro Restaurant, Reservierungs-Tracking-Mockup kommende Reservierungen, Volltextsuche mit Filtern nach Küche/Preisklasse/Bewertung, Sortierbare Ansicht nach Bewertung/letztem-Besuch/Preisklasse, Verknüpfung zwischen Besuchen und begleitenden Personen, Duplikat-Erkennung gleiches Restaurant mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Besuchshäufigkeits-Statistik nach Küche (ApexCharts), Wiederbesuchs-Erinnerung lange nicht besucht, GSAP Restaurant-Karten-Animationen - USE CASE: Genießer mit vielen Lieblingsrestaurants behalten Bewertungen und Lieblingsgerichte übersichtlich fest statt sich auf die Erinnerung zu verlassen, die Wiederbesuchs-Erinnerung bringt vergessene Favoriten zurück ins Bewusstsein.",
        "overview": "baue eine Restaurant-Favoriten-Reservierungs-Datenbank",
        "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "category_number": 4,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Genießer mit vielen Lieblingsrestaurants behalten Bewertungen und Lieblingsgerichte übersichtlich fest statt sich auf die Erinnerung zu verlassen, die Wiederbesuchs-Erinnerung bringt vergessene Favoriten zurück ins Bewusstsein.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-637",
        "title": "erstelle eine Allergen-Diät-Rezeptfilter-Datenbank für Familien",
        "prompt_number": 637,
        "prompt": "erstelle eine Allergen-Diät-Rezeptfilter-Datenbank für Familien - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten mit Allergen-Kennzeichnung Gluten/Laktose/Nüsse/Histamin, Diät-Kompatibilitäts-Tags Vegan/Vegetarisch/Low-Carb/FODMAP, Zutaten-Ersatz-Vorschläge bei Unverträglichkeit, Personen-Profile mit individuellen Unverträglichkeiten verknüpft zu passenden Rezepten, Volltextsuche mit Filtern nach Allergen-Ausschluss/Diät-Typ, Sortierbare Ansicht nach Verträglichkeit/Zubereitungszeit, Verknüpfung zwischen Rezepten und Personenprofilen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder und Allergen-Kennzeichnungs-Pflicht, Import/Export CSV/JSON, Backup/Restore gesamte Datenbank, Verträglichkeits-Abdeckung-Statistik pro Familienmitglied (ApexCharts), Notfall-Zutatenliste-Warnung, GSAP Allergen-Kennzeichnungs-Animationen - USE CASE: Familien mit mehreren unterschiedlichen Lebensmittelunverträglichkeiten finden sicher geeignete Rezepte für alle Mitglieder gleichzeitig, die Notfall-Warnung verhindert versehentliche Verwendung kritischer Allergene.",
        "overview": "erstelle eine Allergen-Diät-Rezeptfilter-Datenbank für Familien",
        "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "category_number": 4,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Familien mit mehreren unterschiedlichen Lebensmittelunverträglichkeiten finden sicher geeignete Rezepte für alle Mitglieder gleichzeitig, die Notfall-Warnung verhindert versehentliche Verwendung kritischer Allergene.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-638",
        "title": "entwickle eine Hausgebrautes-Fermentations-Rezeptdatenbank mit Batch-Log",
        "prompt_number": 638,
        "prompt": "entwickle eine Hausgebrautes-Fermentations-Rezeptdatenbank mit Batch-Log - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Braurezept-Stammdaten Bierstil/Zutaten/Gärtemperatur/Reifezeit, Batch-Tracking-Log pro Sud mit Messwerten Stammwürze/Alkoholgehalt, Fermentations-Zeitplan-Erinnerung Umfüll-und-Abfüll-Termine, Geschmacksbewertung-Historie pro Batch, Volltextsuche mit Filtern nach Bierstil/Zutat/Batch-Status, Sortierbare Ansicht nach Reifedatum/Bewertung/Batch-Nummer, Verknüpfung zwischen Rezept-Vorlage und tatsächlichen Batches, Duplikat-Erkennung ähnlicher Rezeptnamen, Datenvalidierung Pflichtfelder und Messwert-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamtes Braulogbuch, Batch-Erfolgsquote-Statistik über Zeit (ApexCharts Line), Zutaten-Vorrats-Verknüpfung, GSAP Gärverlauf-Animationen - USE CASE: Hobbybrauer dokumentieren jeden Sud mit exakten Messwerten für reproduzierbare Ergebnisse, die Erfolgsquoten-Statistik zeigt über die Zeit welche Rezeptanpassungen tatsächlich zu besseren Bieren führen.",
        "overview": "entwickle eine Hausgebrautes-Fermentations-Rezeptdatenbank mit Batch-Log",
        "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "category_number": 4,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Hobbybrauer dokumentieren jeden Sud mit exakten Messwerten für reproduzierbare Ergebnisse, die Erfolgsquoten-Statistik zeigt über die Zeit welche Rezeptanpassungen tatsächlich zu besseren Bieren führen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-639",
        "title": "programmiere eine Back-Rezeptdatenbank mit Mengen-Umrechner",
        "prompt_number": 639,
        "prompt": "programmiere eine Back-Rezeptdatenbank mit Mengen-Umrechner - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Back-Rezept-Stammdaten Kuchenart/Zutaten/Backzeit/Temperatur, Mengen-Umrechner Portionsgröße und Einheiten Gramm/Cup/Milliliter, Backtest-Historie mit Foto und Erfolgsbewertung, Zutatensubstitutions-Vorschläge bei fehlenden Zutaten, Volltextsuche mit Filtern nach Kuchenart/Anlass/Schwierigkeitsgrad, Sortierbare Ansicht nach Bewertung/Backzeit/Häufigkeit, Verknüpfung zwischen Grundrezepten und Variationen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder und Mengenformat, Import/Export CSV/JSON, Backup/Restore gesamte Rezeptdatenbank, Meistgebackene-Rezepte-Statistik nach Anlass (ApexCharts), Anlass-basierte-Vorschläge Geburtstag/Weihnachten, GSAP Backofen-Timer-Animationen - USE CASE: Hobbybäcker mit wachsender Rezeptsammlung rechnen Mengen zuverlässig für unterschiedliche Portionsgrößen um, die Anlass-basierten Vorschläge erleichtern die Auswahl des passenden Kuchens für jeden Termin.",
        "overview": "programmiere eine Back-Rezeptdatenbank mit Mengen-Umrechner",
        "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "category_number": 4,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Hobbybäcker mit wachsender Rezeptsammlung rechnen Mengen zuverlässig für unterschiedliche Portionsgrößen um, die Anlass-basierten Vorschläge erleichtern die Auswahl des passenden Kuchens für jeden Termin.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-640",
        "title": "baue eine Gewürz-und-Kräuter-Inventar-Datenbank verknüpft mit Rezepten",
        "prompt_number": 640,
        "prompt": "baue eine Gewürz-und-Kräuter-Inventar-Datenbank verknüpft mit Rezepten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gewürz-Stammdaten Name/Menge/Kaufdatum/Haltbarkeit/Herkunft, Aroma-Profil-Tags scharf/süß/erdig für Kombinationsvorschläge, Nachfüll-Erinnerung bei niedrigem Bestand, Verwendungs-Historie welche Rezepte nutzen welches Gewürz, Volltextsuche mit Filtern nach Kategorie/Haltbarkeitsstatus/Menge, Sortierbare Ansicht nach Haltbarkeit/Verwendungshäufigkeit, Verknüpfung zwischen Gewürzen und Rezeptdatenbank, Duplikat-Erkennung gleiches Gewürz mehrfach mit Mengen-Zusammenführung, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore-Funktion, Verwendungshäufigkeits-Statistik meistgenutzte-Gewürze (ApexCharts), Gewürzmischungs-Rezept-Generator, GSAP Gewürzregal-Animationen - USE CASE: Hobbyköche mit umfangreichem Gewürzregal behalten Frische und Nutzung jedes einzelnen Gewürzes im Blick, die Verwendungsstatistik hilft gezielt neue Rezepte für selten genutzte Gewürze zu finden. ## Kategorie 5: WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "overview": "baue eine Gewürz-und-Kräuter-Inventar-Datenbank verknüpft mit Rezepten",
        "category": "REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)",
        "category_number": 4,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Hobbyköche mit umfangreichem Gewürzregal behalten Frische und Nutzung jedes einzelnen Gewürzes im Blick, die Verwendungsstatistik hilft gezielt neue Rezepte für selten genutzte Gewürze zu finden. ## Kategorie 5: WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-641",
        "title": "erstelle eine persönliche Wissensdatenbank/Wiki mit Verlinkungs-Graph",
        "prompt_number": 641,
        "prompt": "erstelle eine persönliche Wissensdatenbank/Wiki mit Verlinkungs-Graph - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wissenseintrag-Stammdaten Titel/Kategorie/Inhalt/Tags/Quelle, Verlinkung zwischen zusammenhängenden Wiki-Seiten Wikilinks, Versionshistorie bei Bearbeitung von Einträgen, Wissens-Graph-Visualisierung Verknüpfungen zwischen Themen (D3.js Force-Graph), Volltextsuche mit Filtern nach Kategorie/Tag/Erstelldatum, Sortierbare Ansicht nach Zugriffshäufigkeit/Aktualität, Verknüpfung zwischen verwandten Einträgen, Duplikat-Erkennung ähnlicher Themen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export Markdown/CSV/JSON, Backup/Restore gesamtes Wiki, Wissensgebiet-Verteilung nach Kategorie (ApexCharts Treemap), Verwaiste-Seiten-Erkennung ohne Verlinkung, GSAP Graph-Navigations-Animationen - USE CASE: Wissensarbeiter bauen sich ein persönliches vernetztes Nachschlagewerk auf statt verstreuter Notizen in verschiedenen Tools, der Wissens-Graph macht unerwartete Zusammenhänge zwischen eigenen Notizen sichtbar.",
        "overview": "erstelle eine persönliche Wissensdatenbank/Wiki mit Verlinkungs-Graph",
        "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "category_number": 5,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Wissensarbeiter bauen sich ein persönliches vernetztes Nachschlagewerk auf statt verstreuter Notizen in verschiedenen Tools, der Wissens-Graph macht unerwartete Zusammenhänge zwischen eigenen Notizen sichtbar.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-642",
        "title": "entwickle eine Fachbegriff-Glossar-Datenbank pro Fachgebiet",
        "prompt_number": 642,
        "prompt": "entwickle eine Fachbegriff-Glossar-Datenbank pro Fachgebiet - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Begriff-Stammdaten Terminus/Definition/Fachgebiet/Quelle/Beispielsatz, Fachgebiets-Kategorisierung Medizin/Recht/Technik-konfigurierbar, Synonym-und-Abgrenzungs-Verknüpfung ähnliche Begriffe, Verständnis-Level-Kennzeichnung Grundlagen/Fortgeschritten, Volltextsuche mit Filtern nach Fachgebiet/Anfangsbuchstabe, Sortierbare Ansicht alphabetisch/nach-Fachgebiet, Verknüpfung zwischen verwandten Fachbegriffen, Duplikat-Erkennung ähnlicher Begriffe, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Weitergabe an Kollegen, Backup/Restore gesamtes Glossar, Begriffsverteilung nach Fachgebiet (ApexCharts Balken), Lernkarten-Modus zum Abfragen, GSAP Karteikarten-Umblätter-Animationen - USE CASE: Fachleute und Studierende bauen sich ein eigenes durchsuchbares Fachwörterbuch für ihr Spezialgebiet auf, der Lernkarten-Modus unterstützt aktiv das Einprägen komplexer Terminologie vor Prüfungen.",
        "overview": "entwickle eine Fachbegriff-Glossar-Datenbank pro Fachgebiet",
        "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "category_number": 5,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Fachleute und Studierende bauen sich ein eigenes durchsuchbares Fachwörterbuch für ihr Spezialgebiet auf, der Lernkarten-Modus unterstützt aktiv das Einprägen komplexer Terminologie vor Prüfungen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-643",
        "title": "programmiere eine Zitat-Sammlung-Datenbank mit Präsentations-Export",
        "prompt_number": 643,
        "prompt": "programmiere eine Zitat-Sammlung-Datenbank mit Präsentations-Export - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zitat-Stammdaten Text/Autor/Quelle/Kontext/Themengebiet, Themen-Tag-System Motivation/Führung/Kreativität, Persönliche-Bewertung-und-Verwendungszweck-Notiz, Zitat-des-Tages-Anzeige zufällig aus der Sammlung, Volltextsuche mit Filtern nach Autor/Thema/Sprache, Sortierbare Ansicht nach Autor/Hinzufügedatum/Beliebtheit, Verknüpfung zwischen Zitaten desselben Autors oder Themas, Duplikat-Erkennung ähnlicher Zitat-Texte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Präsentationsvorbereitung, Backup/Restore gesamte Sammlung, Themenverteilung-Statistik (ApexCharts Donut), Präsentations-Export-Vorschau formatierte Zitatkarten, GSAP Zitatkarten-Einblend-Animationen - USE CASE: Redner und Autoren sammeln inspirierende Zitate systematisch für spätere Reden und Texte statt sie beim Bedarf mühsam neu zu suchen, der Präsentations-Export liefert sofort einsatzbereite Folien-Vorlagen.",
        "overview": "programmiere eine Zitat-Sammlung-Datenbank mit Präsentations-Export",
        "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "category_number": 5,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Redner und Autoren sammeln inspirierende Zitate systematisch für spätere Reden und Texte statt sie beim Bedarf mühsam neu zu suchen, der Präsentations-Export liefert sofort einsatzbereite Folien-Vorlagen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-644",
        "title": "baue eine Forschungs-Zitier-Datenbank als Bibliographie-Manager",
        "prompt_number": 644,
        "prompt": "baue eine Forschungs-Zitier-Datenbank als Bibliographie-Manager - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Quellen-Stammdaten Autor/Titel/Jahr/Publikationsort/DOI-Mockup, Zitierstil-Generator APA/MLA/Chicago automatisch formatiert, Volltext-Notizen-und-Zitat-Sammlung pro Quelle, Projekt-Zuordnung welche Quellen für welche Arbeit verwendet, Volltextsuche mit Filtern nach Autor/Jahr/Projekt/Publikationstyp, Sortierbare Ansicht nach Jahr/Autor/Zitierhäufigkeit, Verknüpfung zwischen zitierenden und zitierten Quellen, Duplikat-Erkennung gleiche Publikation mehrfach erfasst, Datenvalidierung Pflichtfelder und DOI-Format, Import/Export BibTeX/CSV/JSON, Backup/Restore gesamte Literaturdatenbank, Quellen-Verteilung nach Publikationsjahr (ApexCharts Line), Literaturverzeichnis-Export für Abschlussarbeit, GSAP Quellenkarten-Animationen - USE CASE: Studierende und Forschende verwalten hunderte Quellen für ihre Abschlussarbeit strukturiert statt in unübersichtlichen Word-Dokumenten, der automatische Zitierstil-Generator spart bei jeder Quellenangabe wertvolle Zeit.",
        "overview": "baue eine Forschungs-Zitier-Datenbank als Bibliographie-Manager",
        "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "category_number": 5,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Studierende und Forschende verwalten hunderte Quellen für ihre Abschlussarbeit strukturiert statt in unübersichtlichen Word-Dokumenten, der automatische Zitierstil-Generator spart bei jeder Quellenangabe wertvolle Zeit.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-645",
        "title": "erstelle eine Lernkarten-Notizen-Datenbank je Schulfach mit Spaced-Repetition",
        "prompt_number": 645,
        "prompt": "erstelle eine Lernkarten-Notizen-Datenbank je Schulfach mit Spaced-Repetition - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karteikarten-Stammdaten Frage/Antwort/Fach/Schwierigkeitsgrad, Spaced-Repetition-Algorithmus-Mockup Wiederholungsintervalle nach Erfolg, Fach-Kategorisierung mit Unterthemen-Hierarchie, Lernfortschritts-Tracking pro Karte gewusst/nicht-gewusst-Historie, Volltextsuche mit Filtern nach Fach/Schwierigkeit/Lernstatus, Sortierbare Ansicht nach nächster-Wiederholung/Erfolgsquote, Verknüpfung zwischen Karten desselben Themenblocks, Duplikat-Erkennung ähnlicher Fragen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Karten-Austausch, Backup/Restore gesamter Kartensatz, Lernfortschritt-Statistik pro Fach (ApexCharts Radar), Prüfungsmodus zufällige Abfrage, GSAP Karten-Umdreh-Animationen - USE CASE: Schüler und Studierende bereiten sich mit einem selbst erstellten Karteikartensystem effizient auf Prüfungen vor, die Spaced-Repetition-Logik sorgt dafür dass schwierige Karten häufiger wiederholt werden.",
        "overview": "erstelle eine Lernkarten-Notizen-Datenbank je Schulfach mit Spaced-Repetition",
        "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "category_number": 5,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Schüler und Studierende bereiten sich mit einem selbst erstellten Karteikartensystem effizient auf Prüfungen vor, die Spaced-Repetition-Logik sorgt dafür dass schwierige Karten häufiger wiederholt werden.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-646",
        "title": "entwickle eine Notfallordner-Dokumentendatenbank für wichtige Verträge",
        "prompt_number": 646,
        "prompt": "entwickle eine Notfallordner-Dokumentendatenbank für wichtige Verträge - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokument-Stammdaten Kategorie-Versicherung/Verträge/Konten/Testament-Hinweis/Fälligkeit, Verknüpfung zu wichtigen Kontaktpersonen Notar/Bank/Versicherung, Zugriffsberechtigungs-Kennzeichnung wer im Ernstfall Zugriff haben soll, Fälligkeits-Erinnerung für Vertragsverlängerungen, Volltextsuche mit Filtern nach Kategorie/Fälligkeit, Sortierbare Ansicht nach Kategorie/Fälligkeitsdatum, Verknüpfung zwischen Dokumenten und zuständigen Ansprechpartnern, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Notfallordner-Druck, Backup/Restore gesamte Dokumentenübersicht, Vollständigkeits-Check-Dashboard fehlende Kategorien (ApexCharts Gauge), Notfallordner-Druckvorschau, GSAP Dokumentenmappe-Animationen, HINWEIS im Code: reines lokales Ordnungssystem ohne Speicherung sensibler Zugangsdaten selbst - USE CASE: Haushalte legen einen strukturierten Überblick wichtiger Verträge und Zuständigkeiten für den Ernstfall oder Erbfall an, Angehörige finden im Notfall sofort alle relevanten Ansprechpartner statt tagelang suchen zu müssen.",
        "overview": "entwickle eine Notfallordner-Dokumentendatenbank für wichtige Verträge",
        "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "category_number": 5,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Haushalte legen einen strukturierten Überblick wichtiger Verträge und Zuständigkeiten für den Ernstfall oder Erbfall an, Angehörige finden im Notfall sofort alle relevanten Ansprechpartner statt tagelang suchen zu müssen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-647",
        "title": "programmiere eine Vertragsvorlagen-Referenzdatenbank mit Klausel-Bibliothek",
        "prompt_number": 647,
        "prompt": "programmiere eine Vertragsvorlagen-Referenzdatenbank mit Klausel-Bibliothek - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vertragsvorlage-Stammdaten Typ/Verwendungszweck/Rechtsgebiet/letzte-Aktualisierung, Klausel-Bibliothek wiederverwendbare Textbausteine, Versions-Historie pro Vorlage bei Änderungen, Verwendungs-Tracking welche Vorlage wie oft genutzt, Volltextsuche mit Filtern nach Rechtsgebiet/Verwendungszweck, Sortierbare Ansicht nach Aktualität/Nutzungshäufigkeit, Verknüpfung zwischen Vorlagen und verwendeten Klauselbausteinen, Duplikat-Erkennung ähnlicher Vorlagen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Word-Mockup, Backup/Restore gesamte Vorlagenbibliothek, Nutzungsstatistik pro Vorlagentyp (ApexCharts Balken), Aktualisierungs-Erinnerung bei Rechtsänderungen, GSAP Vorlagen-Vorschau-Animationen - USE CASE: Kleinunternehmer und Freelancer greifen auf eine selbst gepflegte Bibliothek geprüfter Vertragsvorlagen zurück statt jedes Mal neu zu formulieren, die Versions-Historie dokumentiert nachvollziehbar welche Klauseln wann angepasst wurden.",
        "overview": "programmiere eine Vertragsvorlagen-Referenzdatenbank mit Klausel-Bibliothek",
        "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "category_number": 5,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Kleinunternehmer und Freelancer greifen auf eine selbst gepflegte Bibliothek geprüfter Vertragsvorlagen zurück statt jedes Mal neu zu formulieren, die Versions-Historie dokumentiert nachvollziehbar welche Klauseln wann angepasst wurden.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-648",
        "title": "baue eine historische Fakten-Zeitleisten-Referenzdatenbank",
        "prompt_number": 648,
        "prompt": "baue eine historische Fakten-Zeitleisten-Referenzdatenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ereignis-Stammdaten Datum/Titel/Beschreibung/Epoche/Region, Interaktive-Zeitleisten-Visualisierung chronologisch (D3.js Timeline), Themen-Verknüpfung zusammenhängende Ereignisse über Epochen, Quellen-Angabe pro Ereignis, Volltextsuche mit Filtern nach Epoche/Region/Thema, Sortierbare Ansicht chronologisch/nach-Region, Verknüpfung zwischen Ursache-und-Folge-Ereignissen, Duplikat-Erkennung ähnlicher Ereignisse, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore gesamte Faktendatenbank, Ereignisdichte nach Epoche (ApexCharts Balken), Vergleichsmodus parallele Ereignisse verschiedener Regionen, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Geschichtsinteressierte und Lehrkräfte bauen sich eine eigene strukturierte Faktensammlung für Unterricht oder Recherche auf, die interaktive Zeitleiste macht historische Zusammenhänge über Regionen hinweg anschaulich sichtbar.",
        "overview": "baue eine historische Fakten-Zeitleisten-Referenzdatenbank",
        "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "category_number": 5,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Geschichtsinteressierte und Lehrkräfte bauen sich eine eigene strukturierte Faktensammlung für Unterricht oder Recherche auf, die interaktive Zeitleiste macht historische Zusammenhänge über Regionen hinweg anschaulich sichtbar.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-649",
        "title": "erstelle eine Code-Snippet-Referenzdatenbank für Entwickler",
        "prompt_number": 649,
        "prompt": "erstelle eine Code-Snippet-Referenzdatenbank für Entwickler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Snippet-Stammdaten Titel/Programmiersprache/Code/Beschreibung/Anwendungsfall, Syntax-Highlighting pro Sprache, Tag-System Framework/Pattern/Problemtyp, Verwendungs-Historie welches Projekt nutzte welchen Snippet, Volltextsuche mit Filtern nach Sprache/Tag/Projekt, Sortierbare Ansicht nach Sprache/Erstelldatum/Nutzungshäufigkeit, Verknüpfung zwischen verwandten Snippets gleiches Pattern, Duplikat-Erkennung ähnlicher Code-Snippets, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Markdown, Backup/Restore gesamte Snippet-Bibliothek, Snippet-Verteilung nach Sprache (ApexCharts Donut), Schnellkopier-Funktion für Zwischenablage-Mockup, GSAP Code-Block-Einblend-Animationen - USE CASE: Entwickler bauen sich eine persönliche durchsuchbare Sammlung bewährter Code-Lösungen für wiederkehrende Probleme auf statt sie jedes Mal neu zu recherchieren, die Tag-Struktur beschleunigt das Wiederfinden über Projektgrenzen hinweg erheblich.",
        "overview": "erstelle eine Code-Snippet-Referenzdatenbank für Entwickler",
        "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "category_number": 5,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Entwickler bauen sich eine persönliche durchsuchbare Sammlung bewährter Code-Lösungen für wiederkehrende Probleme auf statt sie jedes Mal neu zu recherchieren, die Tag-Struktur beschleunigt das Wiederfinden über Projektgrenzen hinweg erheblich.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-650",
        "title": "entwickle eine Sprachvokabel-Datenbank als persönliches Wörterbuch",
        "prompt_number": 650,
        "prompt": "entwickle eine Sprachvokabel-Datenbank als persönliches Wörterbuch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vokabel-Stammdaten Wort/Übersetzung/Sprache/Wortart/Beispielsatz, Themen-Kategorisierung Reisen/Business/Alltag, Lernfortschritt-Tracking gelernt/in-Wiederholung/neu, Aussprache-Notiz-Feld phonetisch, Volltextsuche mit Filtern nach Sprache/Thema/Lernstatus, Sortierbare Ansicht nach Lernfortschritt/Thema/Alphabet, Verknüpfung zwischen Vokabeln derselben Wortfamilie, Duplikat-Erkennung gleiches Wort mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Lernkarten-Apps, Backup/Restore gesamtes Vokabelheft, Lernfortschritt-Statistik nach Sprache (ApexCharts Radar), Abfrage-Modus zum Selbsttest, GSAP Vokabelkarten-Animationen - USE CASE: Sprachlerner bauen sich ein persönliches digitales Vokabelheft über mehrere Zielsprachen hinweg auf statt loser Zettel, der Abfrage-Modus unterstützt eigenständiges Wiederholen jenseits einer festen Lern-App. ## Kategorie 6: PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "overview": "entwickle eine Sprachvokabel-Datenbank als persönliches Wörterbuch",
        "category": "WISSENS- & REFERENZDATENBANKEN (10 Prompts)",
        "category_number": 5,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Sprachlerner bauen sich ein persönliches digitales Vokabelheft über mehrere Zielsprachen hinweg auf statt loser Zettel, der Abfrage-Modus unterstützt eigenständiges Wiederholen jenseits einer festen Lern-App. ## Kategorie 6: PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-651",
        "title": "programmiere eine Ticket-Issue-Tracker-Datenbank nach Bugtracking-Muster",
        "prompt_number": 651,
        "prompt": "programmiere eine Ticket-Issue-Tracker-Datenbank nach Bugtracking-Muster - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ticket-Stammdaten Titel/Beschreibung/Priorität/Status/Zuständigkeit, Status-Workflow Offen/In-Bearbeitung/Review/Geschlossen, Kommentar-Verlauf pro Ticket chronologisch, Verknüpfung zwischen abhängigen Tickets Blocker-Beziehungen, Volltextsuche mit Filtern nach Status/Priorität/Zuständigkeit, Sortierbare Ansicht nach Priorität/Erstelldatum/Fälligkeit, Verknüpfung zu betroffenen Projekten oder Modulen, Duplikat-Erkennung ähnlicher Ticket-Titel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Ticket-Datenbank, Durchlaufzeit-Statistik pro Status (ApexCharts Balken), Burndown-Anzeige offene-vs-geschlossene-Tickets (ApexCharts Line), GSAP Status-Wechsel-Animationen - USE CASE: Kleine Teams verwalten Bugs und Feature-Anfragen strukturiert ohne teures externes Tool, die Durchlaufzeit-Statistik zeigt wo im Workflow Tickets typischerweise stecken bleiben.",
        "overview": "programmiere eine Ticket-Issue-Tracker-Datenbank nach Bugtracking-Muster",
        "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "category_number": 6,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Kleine Teams verwalten Bugs und Feature-Anfragen strukturiert ohne teures externes Tool, die Durchlaufzeit-Statistik zeigt wo im Workflow Tickets typischerweise stecken bleiben.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-652",
        "title": "baue eine Freelancer-Kundenprojekt-Datenbank mit Budget-Tracking",
        "prompt_number": 652,
        "prompt": "baue eine Freelancer-Kundenprojekt-Datenbank mit Budget-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Projekt-Stammdaten Kunde/Projekttitel/Budget/Deadline/Status, Meilenstein-Verwaltung pro Projekt mit Fälligkeit, Verknüpfung zu Kundendatensätzen aus dem CRM, Rechnungsstatus-Tracking pro Projektphase, Volltextsuche mit Filtern nach Kunde/Status/Deadline, Sortierbare Ansicht nach Deadline/Budget/Status, Verknüpfung zwischen Projekten und Zeiterfassungs-Einträgen, Duplikat-Erkennung ähnlicher Projekttitel, Datenvalidierung Pflichtfelder und Budget-Format, Import/Export CSV/JSON für Steuerberater, Backup/Restore gesamte Projektdatenbank, Auslastungs-und-Umsatz-Dashboard pro Monat (ApexCharts), Deadline-Erinnerung bei nahenden Terminen, GSAP Meilenstein-Fortschritts-Animationen - USE CASE: Freelancer behalten bei mehreren parallelen Kundenprojekten Budget und Fristen jederzeit im Blick, das Auslastungs-Dashboard hilft rechtzeitig zu erkennen wann neue Aufträge angenommen werden können.",
        "overview": "baue eine Freelancer-Kundenprojekt-Datenbank mit Budget-Tracking",
        "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "category_number": 6,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Freelancer behalten bei mehreren parallelen Kundenprojekten Budget und Fristen jederzeit im Blick, das Auslastungs-Dashboard hilft rechtzeitig zu erkennen wann neue Aufträge angenommen werden können.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-653",
        "title": "erstelle eine Zeiterfassungs-Datenbank verknüpft mit Projekten",
        "prompt_number": 653,
        "prompt": "erstelle eine Zeiterfassungs-Datenbank verknüpft mit Projekten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zeiteintrag-Stammdaten Projekt/Aufgabe/Startzeit/Endzeit/Beschreibung, Timer-Funktion Start-Stop für laufende Erfassung, Verknüpfung jedes Eintrags zu einem Projekt-Datensatz, Abrechenbarkeit-Kennzeichnung fakturierbar/intern, Volltextsuche mit Filtern nach Projekt/Zeitraum/Abrechenbarkeit, Sortierbare Ansicht nach Datum/Projekt/Dauer, Verknüpfung zwischen Zeiteinträgen und Rechnungen, Duplikat-Erkennung überlappende Zeiteinträge-Warnung, Datenvalidierung Pflichtfelder und Zeitformat-Plausibilität, Import/Export CSV/JSON für Rechnungsstellung, Backup/Restore gesamte Zeiterfassung, Zeitverteilung nach Projekt (ApexCharts Treemap), Wochenarbeitszeit-Trend (ApexCharts Line), GSAP Timer-Animationen - USE CASE: Freelancer und Berater dokumentieren abrechenbare Stunden präzise pro Projekt für korrekte Kundenrechnungen, die Zeitverteilungs-Statistik deckt auf welche Projekte überproportional viel unbezahlten Aufwand verursachen.",
        "overview": "erstelle eine Zeiterfassungs-Datenbank verknüpft mit Projekten",
        "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "category_number": 6,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Freelancer und Berater dokumentieren abrechenbare Stunden präzise pro Projekt für korrekte Kundenrechnungen, die Zeitverteilungs-Statistik deckt auf welche Projekte überproportional viel unbezahlten Aufwand verursachen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-654",
        "title": "entwickle eine Equipment-Checkout-Datenbank für gemeinsam genutzte Team-Ressourcen",
        "prompt_number": 654,
        "prompt": "entwickle eine Equipment-Checkout-Datenbank für gemeinsam genutzte Team-Ressourcen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Equipment-Stammdaten Gerätetyp/Seriennummer/Zustand/Standort, Checkout-Historie wer hat wann welches Gerät ausgeliehen, Verfügbarkeits-Status frei/ausgeliehen/in-Wartung, Reservierungs-Funktion für zukünftigen Bedarf, Volltextsuche mit Filtern nach Gerätetyp/Status/Standort, Sortierbare Ansicht nach Verfügbarkeit/letzter-Nutzung, Verknüpfung zwischen Geräten und ausleihenden Teammitgliedern, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Rückgabedatum-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamte Equipment-Datenbank, Auslastungsstatistik pro Gerät (ApexCharts Balken), Überfällige-Rückgabe-Warnung, GSAP Checkout-Status-Animationen - USE CASE: Teams mit gemeinsam genutzter Ausrüstung wie Kameras oder Laptops behalten jederzeit den Überblick wer was gerade nutzt, die Auslastungsstatistik zeigt ob zusätzliche Geräte angeschafft werden sollten.",
        "overview": "entwickle eine Equipment-Checkout-Datenbank für gemeinsam genutzte Team-Ressourcen",
        "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "category_number": 6,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Teams mit gemeinsam genutzter Ausrüstung wie Kameras oder Laptops behalten jederzeit den Überblick wer was gerade nutzt, die Auslastungsstatistik zeigt ob zusätzliche Geräte angeschafft werden sollten.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-655",
        "title": "programmiere eine Aufgaben-Datenbank mit Abhängigkeits-Graph",
        "prompt_number": 655,
        "prompt": "programmiere eine Aufgaben-Datenbank mit Abhängigkeits-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Aufgaben-Stammdaten Titel/Beschreibung/Fälligkeit/Priorität/Status, Abhängigkeits-Verknüpfung Aufgabe-B-kann-erst-nach-Aufgabe-A-starten, Abhängigkeits-Graph-Visualisierung (D3.js), Unteraufgaben-Hierarchie verschachtelte Checklisten, Volltextsuche mit Filtern nach Status/Priorität/Projekt, Sortierbare Ansicht nach Fälligkeit/Priorität/Abhängigkeitsstatus, Verknüpfung zwischen Aufgaben und übergeordneten Projekten, Duplikat-Erkennung ähnlicher Aufgabentitel, Datenvalidierung Pflichtfelder und zirkuläre-Abhängigkeits-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Aufgabendatenbank, Fortschritts-Dashboard offene-vs-erledigte-Aufgaben (ApexCharts Donut), Kritischer-Pfad-Anzeige blockierende Aufgaben zuerst, GSAP Abhängigkeits-Graph-Animationen - USE CASE: Projektteams mit komplexen Aufgabenabhängigkeiten erkennen sofort welche Aufgabe andere blockiert, die zirkuläre-Abhängigkeits-Prüfung verhindert unlösbare Planungsfehler von vornherein.",
        "overview": "programmiere eine Aufgaben-Datenbank mit Abhängigkeits-Graph",
        "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "category_number": 6,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Projektteams mit komplexen Aufgabenabhängigkeiten erkennen sofort welche Aufgabe andere blockiert, die zirkuläre-Abhängigkeits-Prüfung verhindert unlösbare Planungsfehler von vornherein.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-656",
        "title": "baue eine Meeting-Protokoll-Entscheidungs-Log-Datenbank",
        "prompt_number": 656,
        "prompt": "baue eine Meeting-Protokoll-Entscheidungs-Log-Datenbank - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Meeting-Stammdaten Titel/Datum/Teilnehmer/Agenda, Protokoll-Text pro Meeting mit Beschluss-Kennzeichnung, Aktionspunkt-Verknüpfung aus Meeting resultierende Aufgaben mit Verantwortlichkeit, Entscheidungs-Historie durchsuchbar über alle Meetings, Volltextsuche mit Filtern nach Teilnehmer/Zeitraum/Thema, Sortierbare Ansicht nach Datum/Anzahl-offener-Aktionspunkte, Verknüpfung zwischen Meetings derselben Projektserie, Duplikat-Erkennung ähnlicher Meeting-Titel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Markdown, Backup/Restore gesamtes Protokoll-Archiv, Aktionspunkt-Erledigungsquote-Statistik (ApexCharts), Follow-up-Erinnerung offene Aktionspunkte, GSAP Protokoll-Zeitleisten-Animationen - USE CASE: Teams behalten getroffene Entscheidungen und deren Umsetzung über viele Meetings hinweg nachvollziehbar, die Erledigungsquote zeigt ob Aktionspunkte aus Meetings tatsächlich konsequent abgearbeitet werden.",
        "overview": "baue eine Meeting-Protokoll-Entscheidungs-Log-Datenbank",
        "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "category_number": 6,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Teams behalten getroffene Entscheidungen und deren Umsetzung über viele Meetings hinweg nachvollziehbar, die Erledigungsquote zeigt ob Aktionspunkte aus Meetings tatsächlich konsequent abgearbeitet werden.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-657",
        "title": "erstelle eine Bug-Tracking-Datenbank für QA-Teams",
        "prompt_number": 657,
        "prompt": "erstelle eine Bug-Tracking-Datenbank für QA-Teams - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bug-Stammdaten Titel/Schweregrad/Reproduktionsschritte/betroffene-Version, Status-Workflow Gemeldet/Bestätigt/In-Bearbeitung/Verifiziert/Geschlossen, Verknüpfung zu betroffenen Features oder Modulen, Regressions-Kennzeichnung erneut aufgetretener Bug, Volltextsuche mit Filtern nach Schweregrad/Status/Modul, Sortierbare Ansicht nach Schweregrad/Meldedatum/Status, Verknüpfung zwischen ähnlichen oder verwandten Bugs, Duplikat-Erkennung ähnlicher Bug-Beschreibungen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Bug-Datenbank, Bug-Trend nach Schweregrad über Releases (ApexCharts Balken), Behebungszeit-Statistik pro Schweregrad, GSAP Status-Ampel-Animationen - USE CASE: QA-Teams dokumentieren gefundene Fehler strukturiert mit reproduzierbaren Schritten für Entwickler, die Behebungszeit-Statistik zeigt ob kritische Bugs tatsächlich priorisiert schneller geschlossen werden.",
        "overview": "erstelle eine Bug-Tracking-Datenbank für QA-Teams",
        "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "category_number": 6,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "QA-Teams dokumentieren gefundene Fehler strukturiert mit reproduzierbaren Schritten für Entwickler, die Behebungszeit-Statistik zeigt ob kritische Bugs tatsächlich priorisiert schneller geschlossen werden.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-658",
        "title": "entwickle eine Lieferantenvertrag-Datenbank verknüpft mit Projekten",
        "prompt_number": 658,
        "prompt": "entwickle eine Lieferantenvertrag-Datenbank verknüpft mit Projekten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertrags-Stammdaten Lieferant/Vertragsgegenstand/Laufzeit/Konditionen, Verknüpfung zu Projekten die den Vertrag nutzen, Kündigungsfristen-Erinnerung mit Vorlauf, Leistungsbewertung pro Vertragspartner über Zeit, Volltextsuche mit Filtern nach Lieferant/Status/Laufzeit, Sortierbare Ansicht nach Laufzeitende/Vertragswert, Verknüpfung zwischen Verträgen und zugehörigen Rechnungen, Duplikat-Erkennung ähnlicher Verträge, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Rechtsabteilung, Backup/Restore gesamte Vertragsdatenbank, Vertragswert-Verteilung nach Lieferant (ApexCharts Balken), Auto-Verlängerungs-Warnung, GSAP Vertrags-Ablauf-Animationen - USE CASE: Projektteams behalten bei vielen externen Dienstleistern Vertragslaufzeiten und Konditionen zentral im Blick, die Auto-Verlängerungs-Warnung verhindert ungewollte Fortsetzung nicht mehr benötigter Verträge.",
        "overview": "entwickle eine Lieferantenvertrag-Datenbank verknüpft mit Projekten",
        "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "category_number": 6,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Projektteams behalten bei vielen externen Dienstleistern Vertragslaufzeiten und Konditionen zentral im Blick, die Auto-Verlängerungs-Warnung verhindert ungewollte Fortsetzung nicht mehr benötigter Verträge.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-659",
        "title": "programmiere eine Ehrenamt-Freiwilligen-Management-Datenbank",
        "prompt_number": 659,
        "prompt": "programmiere eine Ehrenamt-Freiwilligen-Management-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Freiwilligen-Stammdaten Name/Fähigkeiten/Verfügbarkeit/Engagement-Bereich, Einsatz-Historie welche Projekte wann unterstützt, Stunden-Tracking geleistete Ehrenamtsstunden, Zertifikats-Generierung-Mockup für Nachweise, Volltextsuche mit Filtern nach Fähigkeit/Verfügbarkeit/Projekt, Sortierbare Ansicht nach Engagement-Stunden/letztem-Einsatz, Verknüpfung zwischen Freiwilligen und Projekten/Veranstaltungen, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Vereinsverwaltung, Backup/Restore gesamte Freiwilligendatenbank, Engagement-Stunden-Statistik nach Projekt (ApexCharts), Dankes-Erinnerung nach abgeschlossenem Einsatz, GSAP Einsatz-Karten-Animationen - USE CASE: Non-Profit-Organisationen koordinieren Freiwillige und deren Verfügbarkeit für verschiedene Projekte effizient, die Stunden-Statistik liefert belastbare Nachweise für Förderanträge und Jahresberichte.",
        "overview": "programmiere eine Ehrenamt-Freiwilligen-Management-Datenbank",
        "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "category_number": 6,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Non-Profit-Organisationen koordinieren Freiwillige und deren Verfügbarkeit für verschiedene Projekte effizient, die Stunden-Statistik liefert belastbare Nachweise für Förderanträge und Jahresberichte.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-660",
        "title": "baue eine Förderantrag-Zuschuss-Tracker-Datenbank für Vereine",
        "prompt_number": 660,
        "prompt": "baue eine Förderantrag-Zuschuss-Tracker-Datenbank für Vereine - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Förderantrag-Stammdaten Fördergeber/Projekttitel/Antragssumme/Status/Frist, Status-Workflow Vorbereitung/Eingereicht/Bewilligt/Abgelehnt, Verknüpfung zu unterstützten Projekten, Dokumenten-Checkliste pro Antrag erforderliche Unterlagen, Volltextsuche mit Filtern nach Fördergeber/Status/Frist, Sortierbare Ansicht nach Frist/Antragssumme/Status, Verknüpfung zwischen Anträgen und Verwendungsnachweisen, Duplikat-Erkennung ähnlicher Anträge, Datenvalidierung Pflichtfelder und Fristformat, Import/Export CSV/JSON, Backup/Restore gesamte Antragsdatenbank, Erfolgsquote-Statistik nach Fördergeber (ApexCharts), Fristablauf-Erinnerung, GSAP Status-Fortschritts-Animationen - USE CASE: Non-Profit-Organisationen und Vereine behalten bei mehreren parallelen Förderanträgen Fristen und Status im Blick, die Erfolgsquoten-Statistik zeigt welche Fördergeber sich für künftige Anträge besonders lohnen. ## Kategorie 7: ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "overview": "baue eine Förderantrag-Zuschuss-Tracker-Datenbank für Vereine",
        "category": "PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)",
        "category_number": 6,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Non-Profit-Organisationen und Vereine behalten bei mehreren parallelen Förderanträgen Fristen und Status im Blick, die Erfolgsquoten-Statistik zeigt welche Fördergeber sich für künftige Anträge besonders lohnen. ## Kategorie 7: ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-661",
        "title": "erstelle eine Unternehmens-IT-Asset-Datenbank für Laptops und Lizenzen",
        "prompt_number": 661,
        "prompt": "erstelle eine Unternehmens-IT-Asset-Datenbank für Laptops und Lizenzen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Asset-Stammdaten Gerätetyp/Seriennummer/Zuweisung-Mitarbeiter/Kaufdatum/Garantie-Ablauf, Zuweisungs-Historie welcher Mitarbeiter hatte welches Gerät wann, Lizenz-Verknüpfung installierte Software pro Gerät, Wartungs-und-Reparatur-Log pro Asset, Volltextsuche mit Filtern nach Gerätetyp/Status/Abteilung, Sortierbare Ansicht nach Garantie-Ablauf/Zuweisung/Alter, Verknüpfung zwischen Geräten und zugewiesenen Mitarbeitern, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Seriennummer-Format, Import/Export CSV/JSON für Inventur, Backup/Restore gesamte IT-Asset-Datenbank, Geräteverteilung nach Abteilung und Alter (ApexCharts Treemap), Garantie-Ablauf-Warnung, GSAP Geräte-Zuweisungs-Animationen - USE CASE: IT-Abteilungen behalten bei hunderten Laptops und Geräten Zuweisung und Garantiestatus zentral im Blick, die Garantie-Warnung verhindert kostspielige Reparaturen kurz nach Garantieablauf unbemerkt zu übersehen.",
        "overview": "erstelle eine Unternehmens-IT-Asset-Datenbank für Laptops und Lizenzen",
        "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "category_number": 7,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "IT-Abteilungen behalten bei hunderten Laptops und Geräten Zuweisung und Garantiestatus zentral im Blick, die Garantie-Warnung verhindert kostspielige Reparaturen kurz nach Garantieablauf unbemerkt zu übersehen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-662",
        "title": "entwickle eine Software-Lizenz-Tracker-Datenbank für Compliance-Audits",
        "prompt_number": 662,
        "prompt": "entwickle eine Software-Lizenz-Tracker-Datenbank für Compliance-Audits - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lizenz-Stammdaten Software/Lizenztyp/Anzahl-Sitze/Ablaufdatum/Kosten, Zuweisungs-Tracking welcher Nutzer belegt welchen Sitzplatz, Nutzungsauslastung-Anzeige belegte-vs-verfügbare-Lizenzen, Verlängerungs-Erinnerung mit Vorlaufzeit, Volltextsuche mit Filtern nach Software/Ablaufstatus/Abteilung, Sortierbare Ansicht nach Ablaufdatum/Auslastung/Kosten, Verknüpfung zwischen Lizenzen und IT-Asset-Datenbank, Duplikat-Erkennung gleiche Lizenz mehrfach erfasst, Datenvalidierung Pflichtfelder und Kostenformat, Import/Export CSV/JSON für Einkauf, Backup/Restore gesamte Lizenzdatenbank, Lizenzkosten-Entwicklung über Zeit (ApexCharts Line), Unnötige-Lizenz-Erkennung wenig genutzte Sitze, GSAP Auslastungs-Balken-Animationen - USE CASE: Unternehmen vermeiden durch systematisches Lizenz-Tracking teure Compliance-Verstöße bei Software-Audits, die Unnötige-Lizenz-Erkennung deckt ungenutzte Sitzplätze auf und spart wiederkehrende Kosten.",
        "overview": "entwickle eine Software-Lizenz-Tracker-Datenbank für Compliance-Audits",
        "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "category_number": 7,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Unternehmen vermeiden durch systematisches Lizenz-Tracking teure Compliance-Verstöße bei Software-Audits, die Unnötige-Lizenz-Erkennung deckt ungenutzte Sitzplätze auf und spart wiederkehrende Kosten.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-663",
        "title": "programmiere eine Fahrzeugflotten-Datenbank mit Wartungs-Log",
        "prompt_number": 663,
        "prompt": "programmiere eine Fahrzeugflotten-Datenbank mit Wartungs-Log - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Fahrzeug-Stammdaten Kennzeichen/Modell/Baujahr/Kilometerstand/nächster-TÜV, Fahrer-Zuweisungs-Historie wer fuhr wann welches Fahrzeug, Wartungs-und-Reparatur-Log pro Fahrzeug mit Kosten, Standort-Karte aktuelle-Fahrzeugpositionen-Mockup (Leaflet), Volltextsuche mit Filtern nach Modell/Status/Fahrer, Sortierbare Ansicht nach TÜV-Fälligkeit/Kilometerstand/Wartungsstatus, Verknüpfung zwischen Fahrzeugen und Fahrer-Datensätzen, Duplikat-Erkennung bei Kennzeichen, Datenvalidierung Pflichtfelder und Kennzeichen-Format, Import/Export CSV/JSON für Flottenversicherung, Backup/Restore gesamte Flottendatenbank, Betriebskosten-Statistik pro Fahrzeug (ApexCharts Balken), TÜV-und-Wartungs-Fälligkeits-Warnung, GSAP Flottenkarten-Animationen - USE CASE: Unternehmen mit eigenem Fuhrpark behalten Wartungstermine und Kosten pro Fahrzeug systematisch im Blick, die Fälligkeits-Warnung verhindert dass Fahrzeuge ohne gültigen TÜV im Einsatz sind.",
        "overview": "programmiere eine Fahrzeugflotten-Datenbank mit Wartungs-Log",
        "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "category_number": 7,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Unternehmen mit eigenem Fuhrpark behalten Wartungstermine und Kosten pro Fahrzeug systematisch im Blick, die Fälligkeits-Warnung verhindert dass Fahrzeuge ohne gültigen TÜV im Einsatz sind.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-664",
        "title": "baue eine Raum-Ressourcen-Buchungsdatenbank mit Konflikt-Erkennung",
        "prompt_number": 664,
        "prompt": "baue eine Raum-Ressourcen-Buchungsdatenbank mit Konflikt-Erkennung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Raum-Stammdaten Name/Kapazität/Ausstattung/Standort, Buchungs-Kalender pro Raum mit Zeitfenstern, Konflikt-Erkennung bei Doppelbuchung, Ausstattungs-Filter Beamer/Videokonferenz/Whiteboard, Volltextsuche mit Filtern nach Kapazität/Ausstattung/Verfügbarkeit, Sortierbare Ansicht nach Auslastung/Kapazität/Standort, Verknüpfung zwischen Buchungen und Mitarbeiter-/Team-Datensätzen, Duplikat-Erkennung überlappender Buchungen, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON/Kalenderformat, Backup/Restore gesamte Buchungsdatenbank, Raumauslastungs-Statistik pro Standort (ApexCharts Heatmap), No-Show-Erkennung nicht genutzte Buchungen, GSAP Kalender-Buchungs-Animationen - USE CASE: Unternehmen mit mehreren Besprechungsräumen vermeiden Doppelbuchungen durch automatische Konflikterkennung, die Auslastungsstatistik zeigt ob zusätzliche Räume benötigt oder ungenutzte Kapazitäten reduziert werden können.",
        "overview": "baue eine Raum-Ressourcen-Buchungsdatenbank mit Konflikt-Erkennung",
        "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "category_number": 7,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Unternehmen mit mehreren Besprechungsräumen vermeiden Doppelbuchungen durch automatische Konflikterkennung, die Auslastungsstatistik zeigt ob zusätzliche Räume benötigt oder ungenutzte Kapazitäten reduziert werden können.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-665",
        "title": "erstelle eine Server-Netzwerk-Inventar-Datenbank mit Topologie-Graph",
        "prompt_number": 665,
        "prompt": "erstelle eine Server-Netzwerk-Inventar-Datenbank mit Topologie-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Server-Stammdaten Hostname/IP-Adresse/Standort-Rack/Betriebssystem/Rolle, Netzwerktopologie-Visualisierung Verbindungen zwischen Servern (D3.js Netzwerkgraph), Wartungsfenster-Planung pro Server, Patch-Status-Tracking letztes-Update-pro-System, Volltextsuche mit Filtern nach Rolle/Standort/Patch-Status, Sortierbare Ansicht nach Patch-Alter/Standort/Rolle, Verknüpfung zwischen Servern und abhängigen Diensten, Duplikat-Erkennung bei IP-Adress-Konflikt, Datenvalidierung Pflichtfelder und IP-Format-Prüfung, Import/Export CSV/JSON für Netzwerkdokumentation, Backup/Restore gesamtes Inventar, Patch-Compliance-Dashboard (ApexCharts Gauge), Veraltete-Systeme-Warnung, GSAP Netzwerktopologie-Animationen - USE CASE: IT-Abteilungen dokumentieren ihre Serverlandschaft strukturiert für Audits und Notfallpläne, die Patch-Compliance-Anzeige deckt sofort auf welche Systeme dringend aktualisiert werden müssen.",
        "overview": "erstelle eine Server-Netzwerk-Inventar-Datenbank mit Topologie-Graph",
        "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "category_number": 7,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "IT-Abteilungen dokumentieren ihre Serverlandschaft strukturiert für Audits und Notfallpläne, die Patch-Compliance-Anzeige deckt sofort auf welche Systeme dringend aktualisiert werden müssen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-666",
        "title": "entwickle eine Firmenhandy-Mobile-Device-Datenbank mit Vertragskosten-Tracking",
        "prompt_number": 666,
        "prompt": "entwickle eine Firmenhandy-Mobile-Device-Datenbank mit Vertragskosten-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gerät-Stammdaten IMEI/Modell/Zuweisung-Mitarbeiter/Vertragslaufzeit, Zuweisungs-Historie Gerätewechsel-Nachverfolgung, Vertragskosten-Tracking pro Gerät und Tarif, Verlust-und-Diebstahl-Meldung-Workflow-Mockup, Volltextsuche mit Filtern nach Modell/Status/Abteilung, Sortierbare Ansicht nach Vertragsende/Kosten/Zuweisung, Verknüpfung zwischen Geräten und Mitarbeiter-Datensätzen, Duplikat-Erkennung bei IMEI, Datenvalidierung Pflichtfelder und IMEI-Format, Import/Export CSV/JSON, Backup/Restore gesamte Gerätedatenbank, Kostenverteilung nach Abteilung (ApexCharts Treemap), Vertragsverlängerungs-Erinnerung, GSAP Geräte-Zuweisungs-Animationen - USE CASE: Unternehmen mit vielen Firmenhandys behalten Vertragskosten und Zuweisungen abteilungsübergreifend im Blick, die Kostenverteilung erleichtert die interne Verrechnung an die jeweiligen Kostenstellen.",
        "overview": "entwickle eine Firmenhandy-Mobile-Device-Datenbank mit Vertragskosten-Tracking",
        "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "category_number": 7,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Unternehmen mit vielen Firmenhandys behalten Vertragskosten und Zuweisungen abteilungsübergreifend im Blick, die Kostenverteilung erleichtert die interne Verrechnung an die jeweiligen Kostenstellen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-667",
        "title": "programmiere eine Peripheriegeräte-Zubehör-Inventar-Datenbank",
        "prompt_number": 667,
        "prompt": "programmiere eine Peripheriegeräte-Zubehör-Inventar-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zubehör-Stammdaten Gerätetyp-Monitor-Tastatur-Headset/Zuweisung/Zustand/Kaufdatum, Ausleih-und-Rückgabe-Tracking bei Pool-Geräten, Zustandsdokumentation mit Fotos bei Rückgabe, Ersatzbeschaffungs-Bedarf-Liste bei Defekten, Volltextsuche mit Filtern nach Gerätetyp/Status/Zuweisung, Sortierbare Ansicht nach Zustand/Kaufdatum/Zuweisung, Verknüpfung zwischen Zubehör und Hauptgeräten der IT-Asset-Datenbank, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Bestandsstatistik nach Gerätetyp und Zustand (ApexCharts Balken), Nachbestellungs-Schwellenwert-Warnung, GSAP Lager-Bestands-Animationen - USE CASE: IT-Abteilungen behalten bei umfangreichem Zubehörlager wie Monitoren und Headsets den Überblick über Verfügbarkeit und Zustand, die Nachbestellungs-Warnung verhindert Engpässe bei Neueinstellungen.",
        "overview": "programmiere eine Peripheriegeräte-Zubehör-Inventar-Datenbank",
        "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "category_number": 7,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "IT-Abteilungen behalten bei umfangreichem Zubehörlager wie Monitoren und Headsets den Überblick über Verfügbarkeit und Zustand, die Nachbestellungs-Warnung verhindert Engpässe bei Neueinstellungen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-668",
        "title": "baue eine Domain-und-SSL-Zertifikat-Tracker-Datenbank",
        "prompt_number": 668,
        "prompt": "baue eine Domain-und-SSL-Zertifikat-Tracker-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Domain-Stammdaten Domainname/Registrar/Ablaufdatum/verantwortliches-Team, SSL-Zertifikat-Verknüpfung pro Domain mit Ablaufdatum, Auto-Renewal-Status-Kennzeichnung aktiviert/manuell, DNS-Konfigurations-Notizen pro Domain, Volltextsuche mit Filtern nach Registrar/Ablaufstatus/Team, Sortierbare Ansicht nach Ablaufdatum/Domain/Zuständigkeit, Verknüpfung zwischen Domains und zugehörigen Zertifikaten, Duplikat-Erkennung bei Domainname, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore gesamte Domain-Datenbank, Ablaufübersicht-Dashboard kommende-30-60-90-Tage (ApexCharts Gauge), Kritische-Ablauf-Warnung rot-markiert, GSAP Ablauf-Countdown-Animationen - USE CASE: Unternehmen mit vielen Domains und Zertifikaten vermeiden peinliche Ausfälle durch abgelaufene SSL-Zertifikate, die 30-60-90-Tage-Übersicht schafft rechtzeitigen Vorlauf für Verlängerungen.",
        "overview": "baue eine Domain-und-SSL-Zertifikat-Tracker-Datenbank",
        "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "category_number": 7,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Unternehmen mit vielen Domains und Zertifikaten vermeiden peinliche Ausfälle durch abgelaufene SSL-Zertifikate, die 30-60-90-Tage-Übersicht schafft rechtzeitigen Vorlauf für Verlängerungen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-669",
        "title": "erstelle eine Cloud-SaaS-Abo-Tracker-Datenbank für Kostenkontrolle",
        "prompt_number": 669,
        "prompt": "erstelle eine Cloud-SaaS-Abo-Tracker-Datenbank für Kostenkontrolle - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: SaaS-Tool-Stammdaten Name/Anbieter/Plan/Kosten-pro-Nutzer/Vertragslaufzeit, Nutzer-Zuweisung pro Tool mit Aktiv-Status, Kostenverteilung nach Abteilung und Tool, Kündigungsfristen-Erinnerung vor automatischer Verlängerung, Volltextsuche mit Filtern nach Anbieter/Abteilung/Ablaufstatus, Sortierbare Ansicht nach Kosten/Nutzeranzahl/Ablaufdatum, Verknüpfung zwischen Tools und zugewiesenen Mitarbeitern, Duplikat-Erkennung ähnlicher Tool-Namen redundante-Anschaffungen, Datenvalidierung Pflichtfelder und Kostenformat, Import/Export CSV/JSON für Controlling, Backup/Restore gesamte SaaS-Datenbank, Gesamtkosten-Entwicklung über Zeit (ApexCharts Line), Ungenutzte-Lizenzen-Erkennung, GSAP Kosten-Dashboard-Animationen - USE CASE: Unternehmen mit wachsender SaaS-Tool-Landschaft behalten die Kostenkontrolle über alle Abonnements zentral, die Erkennung redundanter Anschaffungen deckt doppelt bezahlte ähnliche Tools zwischen Abteilungen auf.",
        "overview": "erstelle eine Cloud-SaaS-Abo-Tracker-Datenbank für Kostenkontrolle",
        "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "category_number": 7,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Unternehmen mit wachsender SaaS-Tool-Landschaft behalten die Kostenkontrolle über alle Abonnements zentral, die Erkennung redundanter Anschaffungen deckt doppelt bezahlte ähnliche Tools zwischen Abteilungen auf.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-670",
        "title": "entwickle eine Zutrittskontroll-Schlüssel-Asset-Datenbank für Facility-Management",
        "prompt_number": 670,
        "prompt": "entwickle eine Zutrittskontroll-Schlüssel-Asset-Datenbank für Facility-Management - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schlüssel-Zugangskarten-Stammdaten Typ/Bereich/Ausgabe-an/Ausgabedatum, Rückgabe-Tracking bei Mitarbeiteraustritt mit Status offen/zurückgegeben, Bereichs-Zuordnung welcher Schlüssel öffnet welche Räume, Verlustmeldungs-Workflow mit Sperr-Status, Volltextsuche mit Filtern nach Bereich/Status/Mitarbeiter, Sortierbare Ansicht nach Ausgabedatum/Status/Bereich, Verknüpfung zwischen Schlüsseln und Mitarbeiter-Datensätzen, Duplikat-Erkennung bei Schlüsselnummer, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Sicherheitsaudit, Backup/Restore gesamte Zutrittsdatenbank, Offene-Rückgaben-Statistik nach Abteilung (ApexCharts), Austritts-Checklisten-Verknüpfung, GSAP Zutrittsstatus-Animationen - USE CASE: Facility-Management behält bei physischen Zutrittsmitteln den Überblick wer wohin Zugang hat, die Austritts-Checklisten-Verknüpfung stellt sicher dass ausscheidende Mitarbeiter lückenlos alle Schlüssel zurückgeben. ## Kategorie 8: EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "overview": "entwickle eine Zutrittskontroll-Schlüssel-Asset-Datenbank für Facility-Management",
        "category": "ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)",
        "category_number": 7,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Facility-Management behält bei physischen Zutrittsmitteln den Überblick wer wohin Zugang hat, die Austritts-Checklisten-Verknüpfung stellt sicher dass ausscheidende Mitarbeiter lückenlos alle Schlüssel zurückgeben. ## Kategorie 8: EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-671",
        "title": "programmiere eine Terminbuchungs-Datenbank für Kleinunternehmen wie Friseursalons",
        "prompt_number": 671,
        "prompt": "programmiere eine Terminbuchungs-Datenbank für Kleinunternehmen wie Friseursalons - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Termin-Stammdaten Kunde/Dienstleistung/Datum-Uhrzeit/Mitarbeiter, Verfügbarkeits-Kalender pro Mitarbeiter mit Zeitslots, Konflikt-Erkennung bei Doppelbuchung, Erinnerungs-Funktion vor Termin an Kunden-Mockup, Volltextsuche mit Filtern nach Kunde/Dienstleistung/Mitarbeiter, Sortierbare Ansicht nach Datum/Mitarbeiter/Status, Verknüpfung zwischen Terminen und Kundendatensätzen, Duplikat-Erkennung überlappender Termine, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON/Kalenderformat, Backup/Restore gesamte Termindatenbank, Auslastungsstatistik pro Mitarbeiter und Wochentag (ApexCharts Heatmap), No-Show-Rate-Tracking, GSAP Kalender-Buchungs-Animationen - USE CASE: Friseursalons und Praxen mit mehreren Mitarbeitern verwalten Terminbuchungen zentral ohne Doppelbuchungen, die Auslastungsstatistik zeigt welche Wochentage zusätzliches Personal benötigen.",
        "overview": "programmiere eine Terminbuchungs-Datenbank für Kleinunternehmen wie Friseursalons",
        "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Friseursalons und Praxen mit mehreren Mitarbeitern verwalten Terminbuchungen zentral ohne Doppelbuchungen, die Auslastungsstatistik zeigt welche Wochentage zusätzliches Personal benötigen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-672",
        "title": "baue eine Event-Gästeliste-Datenbank mit RSVP-Tracking",
        "prompt_number": 672,
        "prompt": "baue eine Event-Gästeliste-Datenbank mit RSVP-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gast-Stammdaten Name/Kategorie/Begleitung/Ernährungshinweise, RSVP-Status-Tracking zugesagt/abgesagt/ausstehend, Tischplanungs-Zuordnung pro Gast, Einladungsversand-Historie-Mockup, Volltextsuche mit Filtern nach RSVP-Status/Kategorie/Tisch, Sortierbare Ansicht nach Nachname/RSVP-Status/Tisch, Verknüpfung zwischen Gästen und Begleitpersonen, Duplikat-Erkennung ähnlicher Namen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Caterer, Backup/Restore gesamte Gästeliste, RSVP-Rücklaufquote-Statistik (ApexCharts Donut), Erinnerungs-Funktion bei ausstehender Antwort, GSAP Gästeliste-Update-Animationen - USE CASE: Veranstalter größerer Feiern wie Hochzeiten behalten Zusagen und Ernährungshinweise aller Gäste übersichtlich im Blick, die Rücklaufquote hilft rechtzeitig bei ausstehenden Antworten nachzufassen.",
        "overview": "baue eine Event-Gästeliste-Datenbank mit RSVP-Tracking",
        "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Veranstalter größerer Feiern wie Hochzeiten behalten Zusagen und Ernährungshinweise aller Gäste übersichtlich im Blick, die Rücklaufquote hilft rechtzeitig bei ausstehenden Antworten nachzufassen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-673",
        "title": "erstelle eine Veranstaltungsort-Raumreservierungs-Datenbank",
        "prompt_number": 673,
        "prompt": "erstelle eine Veranstaltungsort-Raumreservierungs-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Veranstaltungsort-Stammdaten Name/Kapazität/Ausstattung/Mietpreis, Reservierungs-Kalender mit Zeitfenstern und Buchendem, Konflikt-Erkennung bei Doppelbuchung, Anzahlungs-und-Vertragsstatus-Tracking pro Reservierung, Volltextsuche mit Filtern nach Kapazität/Verfügbarkeit/Ausstattung, Sortierbare Ansicht nach Datum/Auslastung/Mietpreis, Verknüpfung zwischen Reservierungen und Kunden-/Veranstalter-Datensätzen, Duplikat-Erkennung überlappender Reservierungen, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamte Reservierungsdatenbank, Auslastungsstatistik nach Saison und Wochentag (ApexCharts Heatmap), Stornierungsquote-Tracking, GSAP Belegungskalender-Animationen - USE CASE: Betreiber von Veranstaltungsräumen vermeiden Doppelbuchungen durch systematische Kalenderverwaltung, die Saisonauslastung hilft bei der Preisgestaltung für Nebensaison-Rabatte.",
        "overview": "erstelle eine Veranstaltungsort-Raumreservierungs-Datenbank",
        "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Betreiber von Veranstaltungsräumen vermeiden Doppelbuchungen durch systematische Kalenderverwaltung, die Saisonauslastung hilft bei der Preisgestaltung für Nebensaison-Rabatte.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-674",
        "title": "entwickle eine Kurs-und-Workshop-Anmeldungs-Datenbank mit Warteliste",
        "prompt_number": 674,
        "prompt": "entwickle eine Kurs-und-Workshop-Anmeldungs-Datenbank mit Warteliste - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurs-Stammdaten Titel/Termin/Kursleiter/max-Teilnehmerzahl, Teilnehmer-Anmeldungs-Liste pro Kurs mit Warteliste bei Überbuchung, Bezahlstatus-Tracking pro Teilnehmer, Anwesenheits-Tracking pro Kurstermin, Volltextsuche mit Filtern nach Kurs/Status/Bezahlstatus, Sortierbare Ansicht nach Anmeldedatum/Kurs/Auslastung, Verknüpfung zwischen Teilnehmern und mehreren gebuchten Kursen, Duplikat-Erkennung Mehrfachanmeldung derselben Person, Datenvalidierung Pflichtfelder und Kapazitätsprüfung vor Anmeldung, Import/Export CSV/JSON für Teilnehmerlisten, Backup/Restore gesamte Kursdatenbank, Auslastungsstatistik pro Kurs (ApexCharts Balken), Warteliste-Nachrück-Benachrichtigung, GSAP Anmeldeformular-Animationen - USE CASE: Volkshochschulen und private Kursanbieter verwalten Anmeldungen und Wartelisten für begrenzte Kursplätze effizient, die Auslastungsstatistik zeigt welche Kursthemen besonders gefragt sind für die Programmplanung.",
        "overview": "entwickle eine Kurs-und-Workshop-Anmeldungs-Datenbank mit Warteliste",
        "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Volkshochschulen und private Kursanbieter verwalten Anmeldungen und Wartelisten für begrenzte Kursplätze effizient, die Auslastungsstatistik zeigt welche Kursthemen besonders gefragt sind für die Programmplanung.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-675",
        "title": "programmiere eine Hochzeitsplanung-Dienstleister-und-Gäste-Datenbank",
        "prompt_number": 675,
        "prompt": "programmiere eine Hochzeitsplanung-Dienstleister-und-Gäste-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dienstleister-Stammdaten Kategorie-Catering-Fotograf-Location/Kontakt/Vertragsstatus/Budget, Gäste-Verknüpfung separate Gästeliste mit RSVP-Status, Budget-Tracking geplant-vs-tatsächlich pro Kategorie, Zeitplan-Checkliste Aufgaben bis zur Hochzeit mit Fälligkeit, Volltextsuche mit Filtern nach Kategorie/Status/Budget, Sortierbare Ansicht nach Fälligkeit/Budget/Status, Verknüpfung zwischen Dienstleistern und Vertragsdokumenten, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Budgetformat, Import/Export CSV/JSON, Backup/Restore gesamte Planungsdatenbank, Budget-Verteilung nach Kategorie (ApexCharts Treemap), Countdown-Fälligkeits-Warnung offener Aufgaben, GSAP Checklisten-Fortschritts-Animationen - USE CASE: Brautpaare behalten bei der Hochzeitsplanung Dutzende Dienstleister und Budget-Posten gleichzeitig im Blick, die Budget-Verteilung zeigt frühzeitig ob einzelne Kategorien den Rahmen sprengen.",
        "overview": "programmiere eine Hochzeitsplanung-Dienstleister-und-Gäste-Datenbank",
        "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Brautpaare behalten bei der Hochzeitsplanung Dutzende Dienstleister und Budget-Posten gleichzeitig im Blick, die Budget-Verteilung zeigt frühzeitig ob einzelne Kategorien den Rahmen sprengen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-676",
        "title": "baue eine Konferenz-Sprecher-und-Sessions-Datenbank ohne Zeitkonflikte",
        "prompt_number": 676,
        "prompt": "baue eine Konferenz-Sprecher-und-Sessions-Datenbank ohne Zeitkonflikte - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprecher-Stammdaten Name/Thema/Biografie/Kontakt/Vertragsstatus, Session-Stammdaten Titel/Zeitslot/Raum/Track-Zuordnung, Verknüpfung zwischen Sprechern und ihren Sessions, Konflikt-Erkennung bei Zeitslot-Überschneidung im selben Raum, Volltextsuche mit Filtern nach Track/Sprecher/Zeitslot, Sortierbare Ansicht nach Zeitslot/Track/Raum, Verknüpfung zwischen Sessions und Teilnehmer-Anmeldungen, Duplikat-Erkennung ähnlicher Session-Titel, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON für Programmheft-Druck, Backup/Restore gesamtes Konferenzprogramm, Track-Auslastungsstatistik nach Beliebtheit (ApexCharts Balken), Sprecher-Bestätigungsstatus-Übersicht, GSAP Programmplan-Animationen - USE CASE: Konferenzveranstalter koordinieren Dutzende Sprecher und parallele Sessions ohne Raum- oder Zeitkonflikte, die Track-Auslastungsstatistik unterstützt die Planung künftiger Konferenzen nach Teilnehmerinteresse.",
        "overview": "baue eine Konferenz-Sprecher-und-Sessions-Datenbank ohne Zeitkonflikte",
        "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Konferenzveranstalter koordinieren Dutzende Sprecher und parallele Sessions ohne Raum- oder Zeitkonflikte, die Track-Auslastungsstatistik unterstützt die Planung künftiger Konferenzen nach Teilnehmerinteresse.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-677",
        "title": "erstelle eine Sportliga-Turnier-Terminplanungs-Datenbank mit Tabellenberechnung",
        "prompt_number": 677,
        "prompt": "erstelle eine Sportliga-Turnier-Terminplanungs-Datenbank mit Tabellenberechnung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Team-Stammdaten Name/Liga/Kontaktperson/Spielstärke, Spielplan-Generierung mit Terminen und Austragungsort, Ergebnis-Erfassung pro Spiel mit Tabellenberechnung, Schiedsrichter-Zuweisung pro Spiel, Volltextsuche mit Filtern nach Liga/Team/Spieltag, Sortierbare Ansicht nach Spieltag/Tabellenplatz/Team, Verknüpfung zwischen Spielen und beteiligten Teams, Duplikat-Erkennung überlappender Spielansetzungen am selben Ort, Datenvalidierung Pflichtfelder und Terminüberschneidungs-Prüfung, Import/Export CSV/JSON für Liga-Verband, Backup/Restore gesamte Turnierdatenbank, Tabellen-und-Formstatistik pro Team (ApexCharts Balken), Spielausfall-Nachhol-Terminvorschlag, GSAP Tabellen-Update-Animationen - USE CASE: Amateur-Sportligen organisieren Spielpläne und Tabellen für mehrere Teams strukturiert ohne Terminüberschneidungen, die Formstatistik liefert Vereinen und Fans spannende Einblicke in die Saisonentwicklung.",
        "overview": "erstelle eine Sportliga-Turnier-Terminplanungs-Datenbank mit Tabellenberechnung",
        "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Amateur-Sportligen organisieren Spielpläne und Tabellen für mehrere Teams strukturiert ohne Terminüberschneidungen, die Formstatistik liefert Vereinen und Fans spannende Einblicke in die Saisonentwicklung.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-678",
        "title": "entwickle eine Vereinshaus-Aktivitätsbuchungs-Datenbank für Gemeindezentren",
        "prompt_number": 678,
        "prompt": "entwickle eine Vereinshaus-Aktivitätsbuchungs-Datenbank für Gemeindezentren - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aktivitäts-Stammdaten Kursname/Zeitfenster/Betreuer/max-Teilnehmer, Mitglieder-Buchungs-Tracking wer nimmt an welcher Aktivität teil, Raumzuordnung pro Aktivität mit Konflikt-Erkennung, Beitrags-Status-Verknüpfung Mitgliedschaft aktiv-vorausgesetzt, Volltextsuche mit Filtern nach Aktivität/Zeitfenster/Verfügbarkeit, Sortierbare Ansicht nach Auslastung/Zeitfenster/Beliebtheit, Verknüpfung zwischen Aktivitäten und Mitglieder-Datensätzen, Duplikat-Erkennung Mehrfachbuchung, Datenvalidierung Pflichtfelder und Kapazitätsprüfung, Import/Export CSV/JSON, Backup/Restore gesamte Aktivitätsdatenbank, Teilnahmestatistik pro Aktivität und Monat (ApexCharts), Warteliste-Nachrück-Funktion, GSAP Belegungsplan-Animationen - USE CASE: Gemeindezentren und Vereine mit vielfältigem Kursangebot verwalten Teilnehmerbuchungen und Raumbelegung zentral, die Teilnahmestatistik zeigt welche Angebote ausgebaut oder eingestellt werden sollten.",
        "overview": "entwickle eine Vereinshaus-Aktivitätsbuchungs-Datenbank für Gemeindezentren",
        "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Gemeindezentren und Vereine mit vielfältigem Kursangebot verwalten Teilnehmerbuchungen und Raumbelegung zentral, die Teilnahmestatistik zeigt welche Angebote ausgebaut oder eingestellt werden sollten.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-679",
        "title": "programmiere eine Verleih-Equipment-Buchungs-Datenbank für Partyverleih",
        "prompt_number": 679,
        "prompt": "programmiere eine Verleih-Equipment-Buchungs-Datenbank für Partyverleih - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Verleihartikel-Stammdaten Artikel-Partyzelt-Tische-Stühle/Menge/Zustand, Buchungs-Kalender pro Artikel mit Verfügbarkeitsprüfung, Kunden-Verknüpfung wer hat wann was gebucht, Kaution-und-Zustandsprotokoll bei Rückgabe, Volltextsuche mit Filtern nach Artikel/Zeitraum/Verfügbarkeit, Sortierbare Ansicht nach Buchungsdatum/Artikel/Kunde, Verknüpfung zwischen Buchungen und Kundendatensätzen, Duplikat-Erkennung überbuchter Artikel im selben Zeitraum, Datenvalidierung Pflichtfelder und Verfügbarkeitsprüfung vor Bestätigung, Import/Export CSV/JSON für Rechnungsstellung, Backup/Restore gesamte Verleihdatenbank, Auslastungsstatistik pro Artikel und Saison (ApexCharts Heatmap), Beschädigungs-Historie pro Artikel, GSAP Verfügbarkeitskalender-Animationen - USE CASE: Partyverleih-Betriebe vermeiden durch die Verfügbarkeitsprüfung Doppelbuchungen begrenzter Ausrüstung wie Zelte, die Saisonauslastung unterstützt die Investitionsentscheidung für zusätzliche Bestände vor der Hochsaison.",
        "overview": "programmiere eine Verleih-Equipment-Buchungs-Datenbank für Partyverleih",
        "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Partyverleih-Betriebe vermeiden durch die Verfügbarkeitsprüfung Doppelbuchungen begrenzter Ausrüstung wie Zelte, die Saisonauslastung unterstützt die Investitionsentscheidung für zusätzliche Bestände vor der Hochsaison.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-680",
        "title": "baue eine Ehrenamtliche-Schichtplanungs-Datenbank für Events und Festivals",
        "prompt_number": 680,
        "prompt": "baue eine Ehrenamtliche-Schichtplanungs-Datenbank für Events und Festivals - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schicht-Stammdaten Event/Zeitfenster/benötigte-Rolle/Anzahl-Helfer, Freiwilligen-Zuweisung pro Schicht mit Verfügbarkeitsabgleich, Rollen-Qualifikation-Kennzeichnung Ersthelfer/Kassierer/Aufbau, Erinnerungs-Funktion vor zugewiesener Schicht, Volltextsuche mit Filtern nach Event/Rolle/Verfügbarkeit, Sortierbare Ansicht nach Zeitfenster/Besetzungsgrad, Verknüpfung zwischen Schichten und Freiwilligen-Datensätzen, Duplikat-Erkennung überlappender Schichtzuweisungen derselben Person, Datenvalidierung Pflichtfelder und Zeitüberschneidungs-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Schichtplanung, Besetzungsgrad-Dashboard pro Event (ApexCharts Gauge), Unterbesetzte-Schichten-Warnung, GSAP Schichtplan-Animationen - USE CASE: Vereine und Festivalorganisatoren koordinieren Dutzende freiwillige Helfer über mehrere Schichten hinweg konfliktfrei, die Unterbesetzt-Warnung ermöglicht rechtzeitiges Nachrekrutieren vor kritischen Lücken im Ablauf. ## Kategorie 9: GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "overview": "baue eine Ehrenamtliche-Schichtplanungs-Datenbank für Events und Festivals",
        "category": "EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Vereine und Festivalorganisatoren koordinieren Dutzende freiwillige Helfer über mehrere Schichten hinweg konfliktfrei, die Unterbesetzt-Warnung ermöglicht rechtzeitiges Nachrekrutieren vor kritischen Lücken im Ablauf. ## Kategorie 9: GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-681",
        "title": "erstelle eine persönliche Gesundheitsakte-Datenbank für Medikamente und Termine",
        "prompt_number": 681,
        "prompt": "erstelle eine persönliche Gesundheitsakte-Datenbank für Medikamente und Termine - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gesundheits-Stammdaten Medikamente/Allergien/Vorerkrankungen/Arzttermine, Medikationsplan mit Dosierung und Einnahmezeit, Arzttermin-Historie mit Befund-Notizen, Impfstatus-Übersicht mit Auffrischungs-Erinnerung, Volltextsuche mit Filtern nach Kategorie/Zeitraum/Arzt, Sortierbare Ansicht nach Termin/Medikament/Wichtigkeit, Verknüpfung zwischen Diagnosen und verordneten Medikamenten, Duplikat-Erkennung bei Medikamenteneingabe, Datenvalidierung Pflichtfelder und Dosierungsformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamte Gesundheitsakte verschlüsselt-Mockup, Medikamenten-Übersicht-Dashboard aktueller-Plan (ApexCharts), Notfall-Kurzübersicht Allergien-und-Blutgruppe, GSAP Termin-Erinnerungs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Daten verbleiben ausschließlich lokal im Browser via IndexedDB, keine Server-Übertragung - USE CASE: Patienten mit mehreren Erkrankungen und Medikamenten behalten den Überblick für den nächsten Arztbesuch, die Notfall-Kurzübersicht kann im Ernstfall entscheidende Informationen schnell verfügbar machen. WICHTIG: Demo-Anwendung ausschließlich zur lokalen Selbstorganisation, keine Übertragung sensibler Gesundheitsdaten auf einen Server, ersetzt keine ärztliche Dokumentation.",
        "overview": "erstelle eine persönliche Gesundheitsakte-Datenbank für Medikamente und Termine",
        "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "category_number": 9,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Patienten mit mehreren Erkrankungen und Medikamenten behalten den Überblick für den nächsten Arztbesuch, die Notfall-Kurzübersicht kann im Ernstfall entscheidende Informationen schnell verfügbar machen. WICHTIG: Demo-Anwendung ausschließlich zur lokalen Selbstorganisation, keine Übertragung sensibler Gesundheitsdaten auf einen Server, ersetzt keine ärztliche Dokumentation.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-682",
        "title": "entwickle eine Fitness-Log-Datenbank für Workouts und Körpermaße",
        "prompt_number": 682,
        "prompt": "entwickle eine Fitness-Log-Datenbank für Workouts und Körpermaße - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Trainings-Stammdaten Datum/Übung/Sätze/Wiederholungen/Gewicht, Körpermaße-Tracking Gewicht/Umfänge über Zeit, Trainingsplan-Verknüpfung Übungen einem Plan zugeordnet, Persönliche-Bestleistungen-Tracking pro Übung, Volltextsuche mit Filtern nach Übung/Zeitraum/Trainingsplan, Sortierbare Ansicht nach Datum/Übung/Fortschritt, Verknüpfung zwischen Trainingseinheiten und Trainingsplänen, Duplikat-Erkennung doppelter Einträge am selben Tag, Datenvalidierung Pflichtfelder und Gewichtsformat, Import/Export CSV/JSON, Backup/Restore gesamtes Trainingslog, Kraftzuwachs-Trend pro Übung (ApexCharts Line), Körpermaße-Entwicklung (ApexCharts), GSAP Fortschritts-Balken-Animationen - USE CASE: Fitness-Enthusiasten dokumentieren Trainingsfortschritt und Körpermaße über Monate hinweg strukturiert, die Bestleistungs-Anzeige motiviert zum kontinuierlichen Überbieten der eigenen Rekorde.",
        "overview": "entwickle eine Fitness-Log-Datenbank für Workouts und Körpermaße",
        "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "category_number": 9,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Fitness-Enthusiasten dokumentieren Trainingsfortschritt und Körpermaße über Monate hinweg strukturiert, die Bestleistungs-Anzeige motiviert zum kontinuierlichen Überbieten der eigenen Rekorde.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-683",
        "title": "programmiere eine Haustier-Gesundheitsakte-Datenbank mit Impfhistorie",
        "prompt_number": 683,
        "prompt": "programmiere eine Haustier-Gesundheitsakte-Datenbank mit Impfhistorie - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Haustier-Stammdaten Name/Rasse/Geburtsdatum/Gewicht, Impf-und-Behandlungshistorie mit Tierarzt-Terminen, Medikationsplan bei chronischen Erkrankungen, Gewichtsverlauf-Tracking über Zeit, Volltextsuche mit Filtern nach Behandlungsart/Zeitraum/Tierarzt, Sortierbare Ansicht nach Termin/Behandlung/Haustier, Verknüpfung zwischen mehreren Haustieren desselben Haushalts, Duplikat-Erkennung bei Terminanlage, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Tierarztwechsel, Backup/Restore gesamte Haustier-Gesundheitsdatenbank, Gewichtsentwicklung pro Haustier (ApexCharts Line), Impf-Auffrischungs-Erinnerung, GSAP Terminplan-Animationen, PRIVATSPHÄRE-HINWEIS im Code: Daten verbleiben lokal im Browser, keine Übertragung an Dritte oder Tierarztpraxen ohne expliziten manuellen Export - USE CASE: Haustierbesitzer mit mehreren Tieren oder chronisch kranken Haustieren behalten Impf-und Behandlungstermine lückenlos im Blick, der Export erleichtert den reibungslosen Wechsel zu einer neuen Tierarztpraxis. WICHTIG: lokal gespeicherte Demo-Anwendung, kein Ersatz für tierärztliche Dokumentation.",
        "overview": "programmiere eine Haustier-Gesundheitsakte-Datenbank mit Impfhistorie",
        "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "category_number": 9,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Haustierbesitzer mit mehreren Tieren oder chronisch kranken Haustieren behalten Impf-und Behandlungstermine lückenlos im Blick, der Export erleichtert den reibungslosen Wechsel zu einer neuen Tierarztpraxis. WICHTIG: lokal gespeicherte Demo-Anwendung, kein Ersatz für tierärztliche Dokumentation.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-684",
        "title": "baue eine Symptom-Tracking-Datenbank für chronisches Krankheitsmanagement",
        "prompt_number": 684,
        "prompt": "baue eine Symptom-Tracking-Datenbank für chronisches Krankheitsmanagement - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Symptom-Log-Stammdaten Datum/Symptom/Intensität/Auslöser-Vermutung, Trigger-Korrelations-Analyse mögliche Zusammenhänge Ernährung/Wetter/Stress (D3.js), Medikamenteneinnahme-Verknüpfung mit Symptomverlauf, Verlaufsbericht-Export für Arztbesuche, Volltextsuche mit Filtern nach Symptom/Intensität/Zeitraum, Sortierbare Ansicht nach Datum/Intensität/Symptomtyp, Verknüpfung zwischen Symptomen und vermuteten Auslösern, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Intensitätsskala-Format, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamtes Symptomtagebuch verschlüsselt-Mockup, Symptomhäufigkeits-Trend über Monate (ApexCharts Line), Gute-und-schlechte-Tage-Kalenderübersicht, GSAP Trend-Animationen, PRIVATSPHÄRE-HINWEIS im Code: hochsensible Gesundheitsdaten verbleiben ausschließlich lokal im Browser, keine Cloud-Synchronisation in dieser Demo-Version - USE CASE: Menschen mit chronischen Erkrankungen wie Migräne oder Reizdarm erkennen durch systematisches Tracking wiederkehrende Auslösemuster, der Verlaufsbericht liefert dem behandelnden Arzt objektive Daten statt subjektiver Erinnerung. WICHTIG: dient der persönlichen Mustererkennung, ersetzt keine ärztliche Diagnose.",
        "overview": "baue eine Symptom-Tracking-Datenbank für chronisches Krankheitsmanagement",
        "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "category_number": 9,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Menschen mit chronischen Erkrankungen wie Migräne oder Reizdarm erkennen durch systematisches Tracking wiederkehrende Auslösemuster, der Verlaufsbericht liefert dem behandelnden Arzt objektive Daten statt subjektiver Erinnerung. WICHTIG: dient der persönlichen Mustererkennung, ersetzt keine ärztliche Diagnose.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-685",
        "title": "erstelle eine Medikamenten-Einnahme-Adhärenz-Datenbank mit Erinnerungsfunktion",
        "prompt_number": 685,
        "prompt": "erstelle eine Medikamenten-Einnahme-Adhärenz-Datenbank mit Erinnerungsfunktion - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Medikamenten-Stammdaten Name/Dosierung/Einnahmezeitpunkt/verordnender-Arzt, Einnahme-Bestätigungs-Log genommen/vergessen pro Zeitpunkt, Wechselwirkungs-Hinweis-Mockup bei mehreren gleichzeitigen Medikamenten, Nachfüll-Erinnerung bei sinkendem Vorrat, Volltextsuche mit Filtern nach Medikament/Zeitraum/Adhärenz-Status, Sortierbare Ansicht nach Einnahmezeit/Adhärenzquote, Verknüpfung zwischen Medikamenten und verordnenden Ärzten, Duplikat-Erkennung bei Medikamenteneingabe, Datenvalidierung Pflichtfelder und Dosierungsformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamten Medikationsplan, Adhärenzquote-Statistik über Zeit (ApexCharts Gauge), Vergessene-Einnahmen-Muster-Erkennung nach Wochentag, GSAP Einnahme-Erinnerungs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Medikationsdaten bleiben lokal auf dem Gerät gespeichert, kein Cloud-Abgleich - USE CASE: Patienten mit komplexen Medikationsplänen behalten die Übersicht und verbessern nachweislich ihre Therapietreue, pflegende Angehörige nutzen die Adhärenzquote um rechtzeitig gegenzusteuern. WICHTIG: reine Erinnerungs- und Dokumentationshilfe, kein Medizinprodukt, ersetzt keine ärztliche Beratung zu Wechselwirkungen.",
        "overview": "erstelle eine Medikamenten-Einnahme-Adhärenz-Datenbank mit Erinnerungsfunktion",
        "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "category_number": 9,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Patienten mit komplexen Medikationsplänen behalten die Übersicht und verbessern nachweislich ihre Therapietreue, pflegende Angehörige nutzen die Adhärenzquote um rechtzeitig gegenzusteuern. WICHTIG: reine Erinnerungs- und Dokumentationshilfe, kein Medizinprodukt, ersetzt keine ärztliche Beratung zu Wechselwirkungen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-686",
        "title": "entwickle eine Schlaf-Tracking-Datenbank mit Muster- und Störfaktor-Analyse",
        "prompt_number": 686,
        "prompt": "entwickle eine Schlaf-Tracking-Datenbank mit Muster- und Störfaktor-Analyse - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schlaf-Log-Stammdaten Datum/Einschlafzeit/Aufwachzeit/Schlafqualität-Bewertung, Störfaktoren-Erfassung Koffein/Bildschirmzeit/Stress, Schlafphasen-Schätzung-Mockup Tief-Leicht-REM, Wochentag-Muster-Erkennung Wochenende-vs-Wochentag, Volltextsuche mit Filtern nach Zeitraum/Qualität/Störfaktor, Sortierbare Ansicht nach Datum/Schlafdauer/Qualität, Verknüpfung zwischen Schlafqualität und erfassten Störfaktoren, Duplikat-Erkennung mehrfacher Einträge derselben Nacht, Datenvalidierung Pflichtfelder und Zeitformat-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamtes Schlaftagebuch, Schlafdauer-Trend über Wochen (ApexCharts Line), Korrelations-Heatmap Störfaktor-vs-Qualität (D3.js), GSAP Schlafzyklus-Animationen, PRIVATSPHÄRE-HINWEIS im Code: sämtliche Schlafdaten verbleiben lokal im Browser-Speicher ohne Server-Anbindung - USE CASE: Menschen mit Schlafproblemen identifizieren durch systematisches Tracking eigene Muster und Störfaktoren, die Korrelations-Heatmap macht sichtbar welche Gewohnheiten die Schlafqualität tatsächlich beeinflussen.",
        "overview": "entwickle eine Schlaf-Tracking-Datenbank mit Muster- und Störfaktor-Analyse",
        "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "category_number": 9,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Menschen mit Schlafproblemen identifizieren durch systematisches Tracking eigene Muster und Störfaktoren, die Korrelations-Heatmap macht sichtbar welche Gewohnheiten die Schlafqualität tatsächlich beeinflussen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-687",
        "title": "programmiere ein Stimmungstagebuch als mentale-Gesundheit-Datenbank",
        "prompt_number": 687,
        "prompt": "programmiere ein Stimmungstagebuch als mentale-Gesundheit-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Stimmungs-Log-Stammdaten Datum/Stimmungsskala/Auslöser/Notizen, Aktivitäts-Verknüpfung welche Tätigkeiten mit welcher Stimmung korrelieren, Trigger-Kategorisierung Arbeit/Beziehung/Gesundheit/Schlaf, Therapiesitzungs-Verknüpfung-Mockup falls in Behandlung, Volltextsuche mit Filtern nach Zeitraum/Stimmungslevel/Trigger, Sortierbare Ansicht nach Datum/Stimmungslevel, Verknüpfung zwischen Stimmungseinträgen und identifizierten Triggern, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Skalenformat, Import/Export CSV/JSON für Therapiegespräche, Backup/Restore gesamtes Stimmungstagebuch verschlüsselt-Mockup, Stimmungsverlauf über Monate (ApexCharts Line), Trigger-Häufigkeits-Analyse (ApexCharts Donut), GSAP sanfte Übergangs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: höchst sensible Daten verbleiben ausschließlich lokal auf dem Gerät, keinerlei Cloud-Synchronisation oder Analyse durch Dritte - USE CASE: Menschen in therapeutischer Begleitung dokumentieren Stimmungsverläufe zwischen Sitzungen für konstruktivere Gespräche mit ihrem Therapeuten, die Trigger-Analyse hilft eigenständig wiederkehrende Belastungsmuster zu erkennen. WICHTIG: kein Ersatz für professionelle psychologische oder psychiatrische Behandlung, bei akuten Krisen bitte an Fachpersonal oder Notdienste wenden.",
        "overview": "programmiere ein Stimmungstagebuch als mentale-Gesundheit-Datenbank",
        "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "category_number": 9,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Menschen in therapeutischer Begleitung dokumentieren Stimmungsverläufe zwischen Sitzungen für konstruktivere Gespräche mit ihrem Therapeuten, die Trigger-Analyse hilft eigenständig wiederkehrende Belastungsmuster zu erkennen. WICHTIG: kein Ersatz für professionelle psychologische oder psychiatrische Behandlung, bei akuten Krisen bitte an Fachpersonal oder Notdienste wenden.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-688",
        "title": "baue einen Schwangerschaftskalender als Gesundheitsdatenbank",
        "prompt_number": 688,
        "prompt": "baue einen Schwangerschaftskalender als Gesundheitsdatenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schwangerschafts-Stammdaten Errechneter-Termin/aktuelle-Woche/Gewichtszunahme, Vorsorgetermin-Historie mit Untersuchungsergebnissen, Symptom-Tagebuch pro Schwangerschaftswoche, Meilenstein-Tracking Ultraschalltermine/Screenings, Volltextsuche mit Filtern nach Woche/Termin-Typ, Sortierbare Ansicht nach Datum/Schwangerschaftswoche, Verknüpfung zwischen Vorsorgeterminen und Untersuchungsergebnissen, Duplikat-Erkennung bei Termineingabe, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Mutterpass-Ergänzung, Backup/Restore gesamten Schwangerschaftskalender, Gewichtszunahme-Verlauf nach Woche (ApexCharts Line), Countdown-bis-Errechneter-Termin, GSAP Wochenfortschritts-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Daten bleiben lokal im Browser gespeichert, kein Ersatz für den offiziellen Mutterpass - USE CASE: Schwangere behalten Vorsorgetermine und Körperveränderungen über die gesamte Schwangerschaft strukturiert im Blick, der Countdown und die Meilenstein-Übersicht schaffen Orientierung durch die einzelnen Schwangerschaftswochen. WICHTIG: ergänzt, ersetzt aber nicht den offiziellen Mutterpass, alle medizinischen Entscheidungen gehören in ärztliche Hände.",
        "overview": "baue einen Schwangerschaftskalender als Gesundheitsdatenbank",
        "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "category_number": 9,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Schwangere behalten Vorsorgetermine und Körperveränderungen über die gesamte Schwangerschaft strukturiert im Blick, der Countdown und die Meilenstein-Übersicht schaffen Orientierung durch die einzelnen Schwangerschaftswochen. WICHTIG: ergänzt, ersetzt aber nicht den offiziellen Mutterpass, alle medizinischen Entscheidungen gehören in ärztliche Hände.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-689",
        "title": "erstelle eine Physiotherapie-Reha-Übungslog-Datenbank",
        "prompt_number": 689,
        "prompt": "erstelle eine Physiotherapie-Reha-Übungslog-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übungs-Stammdaten Name/Zielbereich/Wiederholungen/Sätze/verordnet-von, Reha-Fortschritts-Tracking Schmerzskala und Beweglichkeit über Zeit, Übungsplan-Verknüpfung vom Physiotherapeuten vorgegeben, Terminverlauf Physiotherapie-Sitzungen, Volltextsuche mit Filtern nach Zielbereich/Zeitraum/Übungsplan, Sortierbare Ansicht nach Datum/Schmerzlevel/Fortschritt, Verknüpfung zwischen Übungen und verordnetem Behandlungsplan, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Skalenformat, Import/Export CSV/JSON für Physiotherapeuten, Backup/Restore gesamtes Reha-Logbuch, Schmerz-und-Beweglichkeits-Trend (ApexCharts Line), Übungstreue-Statistik geplant-vs-durchgeführt (ApexCharts Gauge), GSAP Fortschritts-Animationen, PRIVATSPHÄRE-HINWEIS im Code: Gesundheitsdaten verbleiben ausschließlich lokal im Browser ohne Server-Übertragung - USE CASE: Patienten in physiotherapeutischer Behandlung dokumentieren häusliche Übungen und Fortschritt zwischen den Terminen, der Trend aus Schmerz- und Beweglichkeitswerten liefert dem Therapeuten objektive Anhaltspunkte für die Plananpassung. WICHTIG: Dokumentationshilfe, kein Ersatz für die fachliche Beurteilung durch den behandelnden Physiotherapeuten.",
        "overview": "erstelle eine Physiotherapie-Reha-Übungslog-Datenbank",
        "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "category_number": 9,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Patienten in physiotherapeutischer Behandlung dokumentieren häusliche Übungen und Fortschritt zwischen den Terminen, der Trend aus Schmerz- und Beweglichkeitswerten liefert dem Therapeuten objektive Anhaltspunkte für die Plananpassung. WICHTIG: Dokumentationshilfe, kein Ersatz für die fachliche Beurteilung durch den behandelnden Physiotherapeuten.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-690",
        "title": "entwickle eine Familien-Krankengeschichte-Datenbank für erbliche Erkrankungen",
        "prompt_number": 690,
        "prompt": "entwickle eine Familien-Krankengeschichte-Datenbank für erbliche Erkrankungen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Familienmitglied-Stammdaten Name/Verwandtschaftsgrad/bekannte-Erkrankungen/Diagnosealter, Stammbaum-Verknüpfung erbliche Muster über Generationen (D3.js Baumdiagramm), Erkrankungs-Kategorisierung Herz-Kreislauf/Krebs/Stoffwechsel/genetisch, Risikofaktor-Übersicht basierend auf Familienhäufung, Volltextsuche mit Filtern nach Erkrankung/Verwandtschaftsgrad, Sortierbare Ansicht nach Diagnosealter/Erkrankungstyp, Verknüpfung zwischen Familienmitgliedern und ihren Erkrankungen, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Arztgespräche zur Familienanamnese, Backup/Restore gesamte Familienkrankengeschichte verschlüsselt-Mockup, Erkrankungshäufigkeit nach Familienzweig (ApexCharts Treemap), Generationsübergreifende-Muster-Anzeige, GSAP Stammbaum-Animationen, PRIVATSPHÄRE-HINWEIS im Code: hochsensible genetische und gesundheitsbezogene Familiendaten verbleiben ausschließlich lokal, keine Übertragung an genetische Beratungsstellen ohne expliziten manuellen Export - USE CASE: Familien mit gehäuft auftretenden Erkrankungen dokumentieren die Familienanamnese strukturiert für Arztgespräche und genetische Beratung, das Stammbaum-Diagramm macht erbliche Risikomuster über Generationen auf einen Blick erkennbar. WICHTIG: Hilfsmittel zur Gesprächsvorbereitung, ersetzt keine humangenetische Beratung, alle Daten bleiben lokal ohne Cloud-Anbindung. ## Kategorie 10: GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "overview": "entwickle eine Familien-Krankengeschichte-Datenbank für erbliche Erkrankungen",
        "category": "GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)",
        "category_number": 9,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Familien mit gehäuft auftretenden Erkrankungen dokumentieren die Familienanamnese strukturiert für Arztgespräche und genetische Beratung, das Stammbaum-Diagramm macht erbliche Risikomuster über Generationen auf einen Blick erkennbar. WICHTIG: Hilfsmittel zur Gesprächsvorbereitung, ersetzt keine humangenetische Beratung, alle Daten bleiben lokal ohne Cloud-Anbindung. ## Kategorie 10: GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-691",
        "title": "programmiere eine Familienstammbaum-Genealogie-Datenbank mit Beziehungs-Verknüpfung",
        "prompt_number": 691,
        "prompt": "programmiere eine Familienstammbaum-Genealogie-Datenbank mit Beziehungs-Verknüpfung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Personen-Stammdaten Name/Geburtsdatum/Sterbedatum/Geburtsort, Beziehungs-Verknüpfung Eltern-Kind-Ehepartner-Geschwister, Interaktiver-Stammbaum-Visualisierung mehrere Generationen (D3.js Baumdiagramm), Foto-und-Dokumenten-Anhang pro Person, Volltextsuche mit Filtern nach Nachname/Generation/Geburtsort, Sortierbare Ansicht nach Geburtsjahr/Generation/Familienzweig, Verknüpfung zwischen Personen und historischen Dokumenten, Duplikat-Erkennung ähnlicher Personen bei Neuanlage, Datenvalidierung Pflichtfelder und Datums-Plausibilität Geburt-vor-Tod, Import/Export GEDCOM-Mockup/CSV/JSON, Backup/Restore gesamter Stammbaum, Generationen-Verteilung und Familienzweig-Größe (ApexCharts Balken), Lücken-Erkennung fehlende Angaben in der Ahnenreihe, GSAP Stammbaum-Zoom-Animationen - USE CASE: Familienforscher bauen über Jahre einen detaillierten digitalen Stammbaum mit Belegen auf statt in Papierakten, die Lücken-Erkennung zeigt systematisch wo noch weitere Archivrecherche nötig ist.",
        "overview": "programmiere eine Familienstammbaum-Genealogie-Datenbank mit Beziehungs-Verknüpfung",
        "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "category_number": 10,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Familienforscher bauen über Jahre einen detaillierten digitalen Stammbaum mit Belegen auf statt in Papierakten, die Lücken-Erkennung zeigt systematisch wo noch weitere Archivrecherche nötig ist.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-692",
        "title": "baue ein historisches Dokumentenarchiv mit Metadaten-Tagging",
        "prompt_number": 692,
        "prompt": "baue ein historisches Dokumentenarchiv mit Metadaten-Tagging - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokument-Stammdaten Titel/Entstehungsjahr/Dokumenttyp/Urheber/Zustand, Metadaten-Tagging-System Thema/Region/beteiligte-Personen, Digitalisierungs-Status-Tracking gescannt/transkribiert/archiviert, Verknüpfung zu erwähnten Personen oder Orten, Volltextsuche mit Filtern nach Dokumenttyp/Jahr/Tag, Sortierbare Ansicht nach Entstehungsjahr/Digitalisierungsstatus, Verknüpfung zwischen zusammengehörigen Dokumenten derselben Akte, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Archivverwaltung, Backup/Restore gesamtes Archiv, Bestandsübersicht nach Dokumenttyp und Jahrzehnt (ApexCharts Treemap), Restaurierungsbedarf-Warnung bei schlechtem Zustand, GSAP Archivregal-Animationen - USE CASE: Archive und Heimatvereine katalogisieren historische Dokumente mit durchsuchbaren Metadaten statt physischer Karteikästen, die Restaurierungsbedarf-Warnung priorisiert welche empfindlichen Bestände zuerst konserviert werden müssen.",
        "overview": "baue ein historisches Dokumentenarchiv mit Metadaten-Tagging",
        "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "category_number": 10,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Archive und Heimatvereine katalogisieren historische Dokumente mit durchsuchbaren Metadaten statt physischer Karteikästen, die Restaurierungsbedarf-Warnung priorisiert welche empfindlichen Bestände zuerst konserviert werden müssen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-693",
        "title": "erstelle eine Foto-Archiv-Datenbank mit Tagging und Datierung",
        "prompt_number": 693,
        "prompt": "erstelle eine Foto-Archiv-Datenbank mit Tagging und Datierung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Foto-Stammdaten Aufnahmedatum-geschätzt/Ort/abgebildete-Personen/Fotograf, Datierungs-Schätzungs-Feld bei unsicherem Aufnahmedatum mit Konfidenz-Angabe, Personen-Tagging-System mehrere Personen pro Foto verknüpft, Themen-Alben-Zuordnung thematische Sammlungen, Volltextsuche mit Filtern nach Zeitraum/Ort/getaggter-Person, Sortierbare Ansicht nach Datum/Ort/Album, Verknüpfung zwischen Fotos und Personen-Datensätzen aus dem Stammbaum, Duplikat-Erkennung ähnlicher Fotos bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON mit Metadaten, Backup/Restore gesamtes Fotoarchiv, Foto-Verteilung nach Jahrzehnt und Ort (ApexCharts Balken), Unbestimmte-Personen-Liste noch zu identifizierende Personen, GSAP Fotoalbum-Blättern-Animationen - USE CASE: Familien digitalisieren und ordnen alte Fotosammlungen mit Personen- und Ortsangaben bevor Wissen über die Abgebildeten verloren geht, die Verknüpfung zum Stammbaum macht Fotos für künftige Generationen dauerhaft zuordenbar.",
        "overview": "erstelle eine Foto-Archiv-Datenbank mit Tagging und Datierung",
        "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "category_number": 10,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Familien digitalisieren und ordnen alte Fotosammlungen mit Personen- und Ortsangaben bevor Wissen über die Abgebildeten verloren geht, die Verknüpfung zum Stammbaum macht Fotos für künftige Generationen dauerhaft zuordenbar.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-694",
        "title": "entwickle ein Heimatverein-Lokalgeschichte-Archiv",
        "prompt_number": 694,
        "prompt": "entwickle ein Heimatverein-Lokalgeschichte-Archiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Archiv-Eintrag-Stammdaten Titel/Zeitraum/Kategorie-Gebäude-Ereignis-Person/Quelle, Orts-Verknüpfung historische Gebäude und Straßenzüge mit heutiger Lage, Zeitzeugen-Interview-Verknüpfung falls vorhanden, Bild-und-Dokumenten-Anhang pro Eintrag, Volltextsuche mit Filtern nach Kategorie/Zeitraum/Ort, Sortierbare Ansicht nach Zeitraum/Kategorie/Relevanz, Verknüpfung zwischen Einträgen zu übergreifenden Themen Ortsgeschichte, Duplikat-Erkennung ähnlicher Einträge, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Vereinspublikationen, Backup/Restore gesamtes Ortsarchiv, Themenverteilung nach Kategorie und Jahrzehnt (ApexCharts Treemap), Fehlende-Dokumentation-Erkennung Lücken in der Ortschronik, GSAP Zeitleisten-Animationen - USE CASE: Heimat- und Geschichtsvereine bewahren lokale Ereignisse und Bauwerke digital für kommende Generationen, die Lücken-Erkennung zeigt welche Zeiträume der Ortschronik noch weiterer Recherche bedürfen.",
        "overview": "entwickle ein Heimatverein-Lokalgeschichte-Archiv",
        "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "category_number": 10,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Heimat- und Geschichtsvereine bewahren lokale Ereignisse und Bauwerke digital für kommende Generationen, die Lücken-Erkennung zeigt welche Zeiträume der Ortschronik noch weiterer Recherche bedürfen.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-695",
        "title": "programmiere ein Zeitzeugen-Interview-Transkript-Archiv durchsuchbar",
        "prompt_number": 695,
        "prompt": "programmiere ein Zeitzeugen-Interview-Transkript-Archiv durchsuchbar - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interview-Stammdaten Zeitzeuge/Aufnahmedatum/Themengebiet/Interviewer, Transkript-Text-Feld durchsuchbar mit Zeitstempel-Markierung, Themen-Tagging pro Textabschnitt für gezielte Recherche, Einverständniserklärungs-Status-Tracking-Mockup für Veröffentlichung, Volltextsuche im Transkript-Volltext mit Filtern nach Thema/Zeitzeuge, Sortierbare Ansicht nach Aufnahmedatum/Themengebiet, Verknüpfung zwischen Interviews zum selben historischen Ereignis, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Text für Publikationen, Backup/Restore gesamtes Interviewarchiv, Themenverteilung über alle Interviews (ApexCharts Donut), Veröffentlichungsstatus-Übersicht freigegeben-vs-gesperrt, GSAP Transkript-Scroll-Animationen - USE CASE: Geschichtsprojekte und Archive bewahren mündliche Überlieferungen von Zeitzeugen mit durchsuchbaren Transkripten für die historische Forschung, die Themen-Tagging-Struktur ermöglicht gezieltes Auffinden relevanter Passagen über viele Interviews hinweg.",
        "overview": "programmiere ein Zeitzeugen-Interview-Transkript-Archiv durchsuchbar",
        "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "category_number": 10,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Geschichtsprojekte und Archive bewahren mündliche Überlieferungen von Zeitzeugen mit durchsuchbaren Transkripten für die historische Forschung, die Themen-Tagging-Struktur ermöglicht gezieltes Auffinden relevanter Passagen über viele Interviews hinweg.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-696",
        "title": "baue eine Familien-Erbstück-Provenienz-Datenbank mit Besitzerketten",
        "prompt_number": 696,
        "prompt": "baue eine Familien-Erbstück-Provenienz-Datenbank mit Besitzerketten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbstück-Stammdaten Objekt/Herkunftsperson/Entstehungsjahr-geschätzt/Zustand, Besitzerketten-Verknüpfung wer besaß das Stück in welcher Generation, Geschichten-und-Bedeutung-Feld zur Familienerzählung, Foto-Dokumentation mit Detailaufnahmen, Volltextsuche mit Filtern nach Objekttyp/Generation/Familienzweig, Sortierbare Ansicht nach Entstehungsjahr/Generation, Verknüpfung zwischen Erbstücken und Personen im Stammbaum, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Nachlassplanung, Backup/Restore gesamte Erbstück-Datenbank, Objektverteilung nach Kategorie und Generation (ApexCharts Treemap), Weitergabe-Planung wer soll Stück künftig erben, GSAP Vitrinen-Ansicht-Animationen - USE CASE: Familien dokumentieren die Herkunft und Bedeutung von Erbstücken bevor die Geschichten dahinter mit der älteren Generation verloren gehen, die Weitergabe-Planung unterstützt eine einvernehmliche Nachlassregelung wertvoller Familienstücke.",
        "overview": "baue eine Familien-Erbstück-Provenienz-Datenbank mit Besitzerketten",
        "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "category_number": 10,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Familien dokumentieren die Herkunft und Bedeutung von Erbstücken bevor die Geschichten dahinter mit der älteren Generation verloren gehen, die Weitergabe-Planung unterstützt eine einvernehmliche Nachlassregelung wertvoller Familienstücke.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-697",
        "title": "erstelle eine Auswanderer-Ahnen-Migrationsdatenbank mit Kartenrouten",
        "prompt_number": 697,
        "prompt": "erstelle eine Auswanderer-Ahnen-Migrationsdatenbank mit Kartenrouten - HTML - TECH: Bulma+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Migrations-Stammdaten Person/Herkunftsort/Zielort/Auswanderungsjahr/Beweggrund, Reiseroute-Visualisierung auf Karte (Leaflet), Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Dokumenten-Anhang Passagierlisten-Einbürgerungsunterlagen-Mockup, Volltextsuche mit Filtern nach Herkunftsland/Zielland/Zeitraum, Sortierbare Ansicht nach Auswanderungsjahr/Herkunftsort, Verknüpfung zwischen mehreren Familienmitgliedern derselben Migrationswelle, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder und Jahresformat, Import/Export CSV/JSON für Ahnenforschungs-Austausch, Backup/Restore gesamte Migrationsdatenbank, Migrationsrouten-Statistik nach Jahrzehnt (ApexCharts Balken), Zielort-Häufigkeits-Karte, GSAP Kartenrouten-Animationen - USE CASE: Ahnenforscher dokumentieren die Auswanderungsgeschichte ihrer Familie mit Routen und Beweggründen nachvollziehbar, die Kartenvisualisierung macht historische Migrationsmuster ganzer Familienzweige über Kontinente hinweg sichtbar.",
        "overview": "erstelle eine Auswanderer-Ahnen-Migrationsdatenbank mit Kartenrouten",
        "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "category_number": 10,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Ahnenforscher dokumentieren die Auswanderungsgeschichte ihrer Familie mit Routen und Beweggründen nachvollziehbar, die Kartenvisualisierung macht historische Migrationsmuster ganzer Familienzweige über Kontinente hinweg sichtbar.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-698",
        "title": "entwickle eine Kriegsgedenk-Militärakten-Genealogie-Datenbank",
        "prompt_number": 698,
        "prompt": "entwickle eine Kriegsgedenk-Militärakten-Genealogie-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Militärakten-Stammdaten Person/Einheit/Dienstzeitraum/Einsatzort, Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Auszeichnungs-und-Verwundungs-Dokumentation, Dokumenten-Anhang Wehrpass-Feldpostbriefe-Mockup, Volltextsuche mit Filtern nach Einheit/Zeitraum/Einsatzort, Sortierbare Ansicht nach Dienstzeitraum/Einheit, Verknüpfung zwischen Familienmitgliedern die in derselben Einheit dienten, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Militärarchiv-Recherche, Backup/Restore gesamte Militärakten-Datenbank, Einsatzort-Verteilung über Zeit (ApexCharts Balken), Gedenktag-Erinnerung für Familienmitglieder, GSAP Gedenk-Zeitleisten-Animationen - USE CASE: Familienforscher dokumentieren den Kriegsdienst früherer Generationen respektvoll mit belegten Quellen, die Verknüpfung zum Stammbaum bewahrt diese Erinnerungen dauerhaft für nachfolgende Generationen als Teil der Familiengeschichte.",
        "overview": "entwickle eine Kriegsgedenk-Militärakten-Genealogie-Datenbank",
        "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "category_number": 10,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Familienforscher dokumentieren den Kriegsdienst früherer Generationen respektvoll mit belegten Quellen, die Verknüpfung zum Stammbaum bewahrt diese Erinnerungen dauerhaft für nachfolgende Generationen als Teil der Familiengeschichte.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-699",
        "title": "programmiere ein Friedhofs-Grabstätten-Verzeichnis mit Kartenverortung",
        "prompt_number": 699,
        "prompt": "programmiere ein Friedhofs-Grabstätten-Verzeichnis mit Kartenverortung - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Grabstätten-Stammdaten Verstorbener/Geburtsdatum/Sterbedatum/Grabnummer-Lage, Friedhofsplan-Verortung auf interaktiver Karte (Leaflet), Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Grabpflege-Status-Tracking gepflegt/verwaist/Auflösung-droht, Volltextsuche mit Filtern nach Nachname/Zeitraum/Friedhof, Sortierbare Ansicht nach Sterbedatum/Grabnummer, Verknüpfung zwischen Grabstätten derselben Familie Familiengrab, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder und Datums-Plausibilität, Import/Export CSV/JSON für Heimatvereins-Dokumentation, Backup/Restore gesamtes Grabstätten-Verzeichnis, Belegungsstatistik nach Zeitraum (ApexCharts Balken), Auflösungsfrist-Warnung bei drohendem Nutzungsende, GSAP Friedhofsplan-Animationen - USE CASE: Familienforscher und Heimatvereine dokumentieren Grabstätten samt Lage bevor Gräber im Zuge von Nutzungsfristen aufgelöst werden, die Auflösungsfrist-Warnung ermöglicht rechtzeitige Umbettung oder Dokumentation bedeutender historischer Gräber.",
        "overview": "programmiere ein Friedhofs-Grabstätten-Verzeichnis mit Kartenverortung",
        "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "category_number": 10,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Familienforscher und Heimatvereine dokumentieren Grabstätten samt Lage bevor Gräber im Zuge von Nutzungsfristen aufgelöst werden, die Auflösungsfrist-Warnung ermöglicht rechtzeitige Umbettung oder Dokumentation bedeutender historischer Gräber.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "100-database:prompt-700",
        "title": "baue ein historisches Zeitungsausschnitt-Archiv für Lokalgeschichte",
        "prompt_number": 700,
        "prompt": "baue ein historisches Zeitungsausschnitt-Archiv für Lokalgeschichte - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeitungsausschnitt-Stammdaten Titel/Erscheinungsdatum/Zeitung/Thema, Volltext-Abschrift-Feld für durchsuchbare Inhalte, Erwähnte-Personen-und-Orte-Tagging, Scan-Anhang des Originalausschnitts, Volltextsuche im Abschrift-Text mit Filtern nach Zeitung/Zeitraum/Thema, Sortierbare Ansicht nach Erscheinungsdatum/Thema, Verknüpfung zwischen Ausschnitten zum selben Ereignis oder derselben Person, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Heimatvereins-Publikationen, Backup/Restore gesamtes Zeitungsarchiv, Themenverteilung nach Jahrzehnt (ApexCharts Treemap), Verknüpfung zu Personen im Familienstammbaum bei Namensnennung, GSAP Zeitungsausschnitt-Scroll-Animationen - USE CASE: Heimatvereine und Familienforscher bewahren historische Zeitungsberichte über lokale Ereignisse und erwähnte Personen durchsuchbar auf, die Verknüpfung zum Familienstammbaum verbindet trockene Archivdaten mit den persönlichen Geschichten realer Vorfahren. === ENDE - 100 DATENBANK-APP HTML5-PROMPTS ALLER ART (BATCH 7) === ## Hinweis Batch 7 ist im Unterschied zu den bisherigen Batches 1-3, 5 (die jeweils eine Branche/einen Sektor bzw. eine Markenwelt durchgehen) winkel-basiert (\"angle-based\") aufgebaut: die Anwendungsklasse \"Datenbank-App\" selbst bildet die Klammer, und die 10 Kategorien wandern durch 10 unterschiedliche reale Datendomänen statt durch 10 Branchen desselben Sektors. Da der gesamte Stack konsequent Frontend-Only HTML5-Apps ohne Anwendungsserver produziert, gibt es in diesem Batch keine \"verschiedenen Datenbank-Technologien\" im klassischen Sinn (kein MySQL/PostgreSQL/MongoDB-Vergleich) — stattdessen ist \"Datenbank\" hier durchgängig als IndexedDB bzw. LocalStorage im Browser zu verstehen, die als vollwertige client-seitige Persistenzschicht mit strukturierten Datensätzen, Relationen zwischen Datensatz-Typen, Suche/Filter/Sortierung, Import/Export, Duplikat-Erkennung, Datenvalidierung und Backup/Restore fungiert. Die zehn Domänen (persönliche Inventare, Kontakte, Bibliotheken/Medien, Rezepte/Ernährung, Wissen/Referenz, Projekte/Aufgaben, IT-Assets, Events/Buchungen, Gesundheit/Fitness, Genealogie/Archiv) wurden bewusst so gewählt, dass sie sich gegenseitig nicht überschneiden und jeweils die typischen Muster einer Datenbank-Anwendung — Stammdaten, Relationen, Suche, Validierung, Reporting — an einem konkreten, alltagsnahen Anwendungsfall zeigen. In Kategorie 9 (Gesundheits- & Fitness-Datenbanken, #681-690) tragen alle gesundheitsbezogenen Prompts zusätzlich einen expliziten Privatsphäre-Hinweis, der klarstellt dass sensible Gesundheitsdaten in diesen Demo-Apps ausschließlich lokal im Browser verbleiben und keine Server-Übertragung stattfindet — eine bewusste Ergänzung angesichts der Sensibilität dieser Datenkategorie auch in einer reinen Frontend-Demo. --- ## Appendix: Archive-Tool-Promptliste Diese fünf Prompts gehören zur übergreifenden Archive- und Tool-Planung. Sie sind bewusst als eigener Appendix markiert und nicht Teil der 100 Datenbank-App-Prompts `#601–#700`. ### Priorität 1 — Public Release Gate Entwickle ein Public Release Gate für den letzten Schritt vor der Veröffentlichung eines Archive-Builds. Es prüft Raw-Source-Leaks, Credential-Muster, private URLs, unsanitized HTML, externe und kaputte Links, fehlende Quellen, Snapshot-Konsistenz, Corpus-Zählungen, Duplicate-Gruppen, Accessibility-Grundchecks, CSP-Status und den Browser-Smoke-Test. Das Ergebnis soll klar zwischen `PUBLIC RELEASE: BLOCKED`, Warnungen und bestandenen Checks unterscheiden. ### Priorität 2 — Snapshot Diff Explorer Entwickle einen Snapshot Diff Explorer, der zwei Archive-Builds vergleicht. Sichtbar werden neue, entfernte und geänderte Projekte, Frontmatter-Änderungen, Sicherheitsbefunde, neue oder entfernte Embeddings, Duplicate-Gruppen und veränderte Readiness-Grade. Jeder Unterschied erhält Source- und Snapshot-Referenzen, damit das statische Archiv nachvollziehbar versioniert bleibt. ### Priorität 3 — Project Compare Lab Entwickle ein Project Compare Lab für zwei bis vier ausgewählte Projekte. Die Vergleichsansicht zeigt Status, Rebuild Grade, Tech Stack, Zielgruppe, Feature-Scope, Security Findings, Dependencies, Documentation Coverage, RAG Similarity, Source Confidence und Provenance nebeneinander. Das Tool soll Unterschiede erklären und nicht nur Rohfelder in Tabellenform darstellen. ### Priorität 4 — RAG Evaluation Lab Entwickle ein RAG Evaluation Lab mit 20–50 Golden Queries und erwarteten Source-IDs. Es misst Recall@K, Precision@K, MRR, Citation Validity, Unsupported-Claim-Rate sowie den Vergleich zwischen lexical, semantic und hybrid retrieval. Zusätzlich soll es Snapshot-zu-Snapshot-Regressionsvergleiche und eine klare Kennzeichnung für Halluzinations- oder Redaction-Cases liefern. Beispiel: ```text Query: \"Stripe subscription checkout\" Expected sources: 3 Found in top 8: 3 Recall@8: 100% Citation validity: 100% ``` ### Priorität 5 — Unified Archive Workbench Entwickle eine gemeinsame Archive Workbench für lokale Projekte, HTML-Analysen, Ebooks, Kataloge, Prompt-Ideen, Root-Dateien und RAG-Vektoren. Die Workbench bietet getrennte Provenance-Filter und die Modi Browse, Exact search, Hybrid search, Semantic search, Compare und Build handoff. Prompt-Ideen und Katalogdaten bleiben dabei sichtbar getrennt von lokaler Projekt-Evidence.",
        "overview": "baue ein historisches Zeitungsausschnitt-Archiv für Lokalgeschichte",
        "category": "GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)",
        "category_number": 10,
        "cluster": "Datenbank-Apps aller Art",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "datenbank",
          "crud",
          "indexeddb",
          "localstorage",
          "sammlungen",
          "inventar"
        ],
        "use_case": "Heimatvereine und Familienforscher bewahren historische Zeitungsberichte über lokale Ereignisse und erwähnte Personen durchsuchbar auf, die Verknüpfung zum Familienstammbaum verbindet trockene Archivdaten mit den persönlichen Geschichten realer Vorfahren. === ENDE - 100 DATENBANK-APP HTML5-PROMPTS ALLER ART (BATCH 7) === ## Hinweis Batch 7 ist im Unterschied zu den bisherigen Batches 1-3, 5 (die jeweils eine Branche/einen Sektor bzw. eine Markenwelt durchgehen) winkel-basiert (\"angle-based\") aufgebaut: die Anwendungsklasse \"Datenbank-App\" selbst bildet die Klammer, und die 10 Kategorien wandern durch 10 unterschiedliche reale Datendomänen statt durch 10 Branchen desselben Sektors. Da der gesamte Stack konsequent Frontend-Only HTML5-Apps ohne Anwendungsserver produziert, gibt es in diesem Batch keine \"verschiedenen Datenbank-Technologien\" im klassischen Sinn (kein MySQL/PostgreSQL/MongoDB-Vergleich) — stattdessen ist \"Datenbank\" hier durchgängig als IndexedDB bzw. LocalStorage im Browser zu verstehen, die als vollwertige client-seitige Persistenzschicht mit strukturierten Datensätzen, Relationen zwischen Datensatz-Typen, Suche/Filter/Sortierung, Import/Export, Duplikat-Erkennung, Datenvalidierung und Backup/Restore fungiert. Die zehn Domänen (persönliche Inventare, Kontakte, Bibliotheken/Medien, Rezepte/Ernährung, Wissen/Referenz, Projekte/Aufgaben, IT-Assets, Events/Buchungen, Gesundheit/Fitness, Genealogie/Archiv) wurden bewusst so gewählt, dass sie sich gegenseitig nicht überschneiden und jeweils die typischen Muster einer Datenbank-Anwendung — Stammdaten, Relationen, Suche, Validierung, Reporting — an einem konkreten, alltagsnahen Anwendungsfall zeigen. In Kategorie 9 (Gesundheits- & Fitness-Datenbanken, #681-690) tragen alle gesundheitsbezogenen Prompts zusätzlich einen expliziten Privatsphäre-Hinweis, der klarstellt dass sensible Gesundheitsdaten in diesen Demo-Apps ausschließlich lokal im Browser verbleiben und keine Server-Übertragung stattfindet — eine bewusste Ergänzung angesichts der Sensibilität dieser Datenkategorie auch in einer reinen Frontend-Demo. --- ## Appendix: Archive-Tool-Promptliste Diese fünf Prompts gehören zur übergreifenden Archive- und Tool-Planung. Sie sind bewusst als eigener Appendix markiert und nicht Teil der 100 Datenbank-App-Prompts `#601–#700`. ### Priorität 1 — Public Release Gate Entwickle ein Public Release Gate für den letzten Schritt vor der Veröffentlichung eines Archive-Builds. Es prüft Raw-Source-Leaks, Credential-Muster, private URLs, unsanitized HTML, externe und kaputte Links, fehlende Quellen, Snapshot-Konsistenz, Corpus-Zählungen, Duplicate-Gruppen, Accessibility-Grundchecks, CSP-Status und den Browser-Smoke-Test. Das Ergebnis soll klar zwischen `PUBLIC RELEASE: BLOCKED`, Warnungen und bestandenen Checks unterscheiden. ### Priorität 2 — Snapshot Diff Explorer Entwickle einen Snapshot Diff Explorer, der zwei Archive-Builds vergleicht. Sichtbar werden neue, entfernte und geänderte Projekte, Frontmatter-Änderungen, Sicherheitsbefunde, neue oder entfernte Embeddings, Duplicate-Gruppen und veränderte Readiness-Grade. Jeder Unterschied erhält Source- und Snapshot-Referenzen, damit das statische Archiv nachvollziehbar versioniert bleibt. ### Priorität 3 — Project Compare Lab Entwickle ein Project Compare Lab für zwei bis vier ausgewählte Projekte. Die Vergleichsansicht zeigt Status, Rebuild Grade, Tech Stack, Zielgruppe, Feature-Scope, Security Findings, Dependencies, Documentation Coverage, RAG Similarity, Source Confidence und Provenance nebeneinander. Das Tool soll Unterschiede erklären und nicht nur Rohfelder in Tabellenform darstellen. ### Priorität 4 — RAG Evaluation Lab Entwickle ein RAG Evaluation Lab mit 20–50 Golden Queries und erwarteten Source-IDs. Es misst Recall@K, Precision@K, MRR, Citation Validity, Unsupported-Claim-Rate sowie den Vergleich zwischen lexical, semantic und hybrid retrieval. Zusätzlich soll es Snapshot-zu-Snapshot-Regressionsvergleiche und eine klare Kennzeichnung für Halluzinations- oder Redaction-Cases liefern. Beispiel: ```text Query: \"Stripe subscription checkout\" Expected sources: 3 Found in top 8: 3 Recall@8: 100% Citation validity: 100% ``` ### Priorität 5 — Unified Archive Workbench Entwickle eine gemeinsame Archive Workbench für lokale Projekte, HTML-Analysen, Ebooks, Kataloge, Prompt-Ideen, Root-Dateien und RAG-Vektoren. Die Workbench bietet getrennte Provenance-Filter und die Modi Browse, Exact search, Hybrid search, Semantic search, Compare und Build handoff. Prompt-Ideen und Katalogdaten bleiben dabei sichtbar getrennt von lokaler Projekt-Evidence.",
        "source": "100-database.md",
        "source_path": "100-database.md",
        "library_title": "100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-001",
        "title": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard",
        "prompt_number": 1,
        "prompt": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 360° Finanzübersicht mit Einnahmen/Ausgaben Sankey Diagram (D3.js), Vermögensaufbau Timeline 30 Jahre (ApexCharts Area Chart), Cashflow-Waterfall Monatlich (ApexCharts Waterfall), Schuldenabbau-Simulator mit Snowball vs Avalanche Vergleich, Notgroschen-Rechner 3-6 Monate Expenses, Asset Allocation Pie Chart mit Rebalancing Alerts, Steuerbelastung Visualizer progressive Steuersätze, Sparziel-Tracker mit Meilenstein-Badges, PDF-Export Finanzplan DVAG-Branding, Offline-Modus IndexedDB, Dark Mode, GSAP Page Transitions, Mobile Touch Gestures - USE CASE: DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus",
        "overview": "erstelle ein DVAG Kundenfinanzplanungs-Dashboard",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-002",
        "title": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced",
        "prompt_number": 2,
        "prompt": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budget-Kategorien Manager (Housing, Transport, Food, Insurance, Entertainment etc.), Ausgaben-Tracking mit Chart.js Donut Charts, 50/30/20 Rule Visualizer (Needs/Wants/Savings), Trendanalyse Monatlich/Jährlich (ApexCharts Line Charts), Budgetüberschreitungs-Alerts mit Push Notifications API, Vergleich zu Durchschnitt nach Haushaltsgröße und Region, Variable vs Fixed Expenses Breakdown, Saisonale Ausgaben-Muster Heatmap (D3.js), Einsparungspotenzial-Finder AI-basiert, CSV Import/Export, GSAP Animations, Responsive Mobile-First - USE CASE: Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights",
        "overview": "entwickle einen DVAG Haushaltsbudget-Analyzer Advanced",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-003",
        "title": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard",
        "prompt_number": 3,
        "prompt": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multiple Income Streams Tracker (W2, Freelance, Dividends, Rental, Business), Income Diversification Score Calculator, Passive vs Active Income Ratio (ApexCharts Radial Bar), Income Growth Projection 10 Jahre (D3.js Multi-Line Chart), Einkommensstabilität-Analyse Volatility Index, Tax Impact Calculator per Income Stream, Side Hustle ROI Analyzer, Income Funnel Visualizer (D3.js Sankey), Monatliche Income Distribution Heatmap, Jahresvergleich Income Mix, GSAP Counter Animations, PWA Offline Support - USE CASE: Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency",
        "overview": "programmiere ein DVAG Einkommensströme-Visualizer Dashboard",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-004",
        "title": "baue ein DVAG Lebensstandard-Planer Retirement",
        "prompt_number": 4,
        "prompt": "baue ein DVAG Lebensstandard-Planer Retirement - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Retirement Lifestyle Calculator, Inflationsanpassung 2-3% jährlich automatisch, Healthcare Cost Projector im Alter, Travel & Leisure Budget Planner, Housing Downsizing Calculator, Longevity Risk Analyzer bis 100 Jahre, Social Security Timing Optimizer (früh vs spät), Renten-Lücken-Rechner mit Visualization (ApexCharts Gap Chart), Lifestyle Inflation Tracker, Bucket Strategy Planner (Short/Mid/Long Term), Geographic Arbitrage Calculator Umzug Low-Cost Areas, GSAP Timeline Scroll Animations - USE CASE: Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken",
        "overview": "baue ein DVAG Lebensstandard-Planer Retirement",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-005",
        "title": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation",
        "prompt_number": 5,
        "prompt": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Family Tree Visualizer mit Finanzzielen (D3.js Hierarchical Layout), Bildungsfinanzierung-Calculator pro Kind (College/Uni Costs), Generational Wealth Transfer Simulator, Erbschaftssteuer-Optimierer, Life Insurance Needs Calculator ganze Familie, Notfallplan Financial Emergency Kit, Income Loss Protection Analysis, Family Budget Consolidator alle Haushaltsmitgliber, Kids Financial Education Tracker Taschengeld & Sparen, Großeltern zu Enkel Transfer 529 Plans, GSAP Family Tree Animations, Collaborative Editing Multi-User - USE CASE: Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert",
        "overview": "erstelle einen DVAG Familien-Finanzplaner Multi-Generation",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-006",
        "title": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit",
        "prompt_number": 6,
        "prompt": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Nettovermögen-Tracker Assets minus Liabilities (ApexCharts Gauge), Asset Breakdown Real Estate/Stocks/Bonds/Cash/Crypto/Business (D3.js Treemap), Liability Details Mortgages/Student Loans/Credit Cards/Car Loans, Net Worth Timeline Historisch & Projektiert (ApexCharts Combo Chart), Debt-to-Asset Ratio Calculator, Liquidity Ratio Analyzer, Vermögensstruktur nach Risiko Low/Medium/High, Rebalancing Recommendations, Tax-Loss Harvesting Opportunities, Estate Value for Inheritance Planning, GSAP Number Counter Animations, Auto-Refresh Dashboard - USE CASE: Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit",
        "overview": "entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-007",
        "title": "programmiere einen DVAG Notfall-Finanzplan Generator",
        "prompt_number": 7,
        "prompt": "programmiere einen DVAG Notfall-Finanzplan Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Emergency Fund Size Calculator 3-6-12 Monate, Job Loss Income Replacement Simulator, Medical Emergency Cost Estimator, Home Repair Emergency Fund, Auto Breakdown Reserve, Legal Emergency Fund, Income Continuity Plan bei Ausfall, Expense Cutting Roadmap Prioritized (D3.js Flow Diagram), Insurance Coverage Gap Analysis, Quick Access Liquidity Checker, Emergency Contact Financial Info Vault, Scenario Planner What-If Analysis, GSAP Alert Animations, Print Emergency Plan PDF - USE CASE: Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan",
        "overview": "programmiere einen DVAG Notfall-Finanzplan Generator",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-008",
        "title": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder",
        "prompt_number": 8,
        "prompt": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FI Number Calculator 25x Annual Expenses, Current vs Target Networth Gap (ApexCharts Progress Bar), Savings Rate Optimizer 10% bis 70%, Years to FI Calculator mit Compound Interest, Coast FI Calculator wann genug investiert, Barista FI Teil-Retirement Planner, Lean vs Fat FI Lifestyle Chooser, Geographic Arbitrage Impact, Side Hustle Addition Impact, Investment Return Scenarios 5%/7%/10% (D3.js Monte Carlo), Withdrawal Strategy 4% Rule vs Variable, Sequence of Returns Risk Visualizer, GSAP Milestone Animations - USE CASE: Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien",
        "overview": "baue ein DVAG Finanzielle-Freiheit-Roadmap Builder",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-009",
        "title": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime",
        "prompt_number": 9,
        "prompt": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lifetime Earnings Calculator Start bis Rente, Gehaltserhöhungs-Projektion 3-5% jährlich, Career Path Comparator Angestellt vs Selbständig vs Beamter, Bildungsinvestition ROI Calculator Master/PhD vs Direkt arbeiten, Job-Wechsel Timing Optimizer maximale Earnings, Branchenwechsel Financial Impact, Geographic Location Salary Adjuster, Remote Work Income Opportunities, Skill Premium Calculator zusätzliche Qualifikationen, Promotion Impact Visualizer, Gender Pay Gap Analyzer, Career Plateau Identifier, GSAP Career Timeline Animations - USE CASE: Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings",
        "overview": "erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-010",
        "title": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification",
        "prompt_number": 10,
        "prompt": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multi-Goal Tracker (Notfonds, Altersvorsorge, Eigenheim, Auto, Urlaub, Bildung), Goal Priority Ranker Eisenhower Matrix (D3.js Scatter Plot), Progress Bars mit Milestone Badges, Savings Velocity Meter wie schnell zum Ziel (ApexCharts Speedometer), Goal Interdependency Visualizer (D3.js Network Graph), Motivation Boosters Achievement System, Social Sharing Progress optional, Automatic Savings Allocator zu Goals, Goal Conflict Resolver bei Budget-Limits, Celebration Animations GSAP bei erreichten Meilensteinen, Timeline View alle Goals (D3.js Gantt), Retrospective Goal Analysis was funktioniert - USE CASE: Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking ## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS",
        "overview": "entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification",
        "category": "FINANZPLANUNG & BERATUNGSTOOLS",
        "category_number": 1,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking ## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-011",
        "title": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional",
        "prompt_number": 11,
        "prompt": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Portfolio Holdings Table sortable/filterable, Asset Allocation Donut Chart Aktien/Anleihen/Immobilien/Cash/Alternative (ApexCharts), Sector Allocation Breakdown (D3.js Treemap), Geographic Diversification World Map (D3.js Geo), Performance Attribution Analysis, Risk Metrics Volatility/Sharpe/Sortino/Max Drawdown, Correlation Matrix Heatmap Assets (D3.js), Rebalancing Calculator mit Band-Width 5%, Tax-Aware Rebalancing, Portfolio Overlap Detector bei mehreren Depots, Factor Exposure Value/Growth/Momentum, Benchmark Comparison S&P500/MSCI World, GSAP Chart Transitions - USE CASE: Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap",
        "overview": "erstelle ein DVAG Portfolio-Analyzer Advanced Professional",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-012",
        "title": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced",
        "prompt_number": 12,
        "prompt": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Selektor nach Kriterien TER/Tracking Difference/Volumen/Replizierung, Core-Satellite Strategie Builder 70/30 bis 90/10, Sparrate-Calculator monatlich/quartalsweise, Compound Interest Simulator 30 Jahre (ApexCharts Area Chart), Rebalancing Frequency Optimizer jährlich vs quartalsweise, Tax-Optimized ETF Selection Thesaurierend vs Ausschüttend Deutschland, Ausschüttungsrendite-Tracker, Cost Comparison Broker-Gebühren TER Impact, Index-Wahl MSCI World vs FTSE All-World vs S&P500, Small Cap Value Tilt Calculator, Emerging Markets Allocation, Dividend ETF vs Growth ETF Comparison, GSAP Scroll Animations - USE CASE: Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau",
        "overview": "entwickle einen DVAG ETF-Sparplan-Optimizer Advanced",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-013",
        "title": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional",
        "prompt_number": 13,
        "prompt": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dividend Aristocrats Screener 25+ Jahre Erhöhungen, Dividend Yield vs Growth Matrix (D3.js Scatter Plot), Payout Ratio Safety Analyzer, Dividend Growth Rate Calculator CAGR, Forward Dividend Income Projector 10 Jahre (ApexCharts), Dividend Calendar Zahlungstermine (D3.js Timeline), DRIP Reinvestment Impact Calculator, Sector Diversification Dividends, International Dividend Stocks Withholding Tax, Dividend Tax Treatment Deutschland Teilfreistellung, Dividend Safety Score Composite, Yield on Cost Tracker, Monthly Dividend Income Builder, GSAP Dividend Payment Animations - USE CASE: Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus",
        "overview": "programmiere ein DVAG Dividenden-Portfolio-Builder Professional",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-014",
        "title": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse",
        "prompt_number": 14,
        "prompt": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Crypto Holdings Tracker BTC/ETH/Altcoins mit Live-Preisen Mock-API, Portfolio Allocation Pie Chart (ApexCharts), Volatility Tracker 30-Day Rolling (ApexCharts Candlestick), Crypto Correlation Matrix (D3.js Heatmap), Bitcoin Dominance Indicator, DCA Dollar-Cost-Averaging Calculator, Tax-Loss Harvesting Crypto Deutschland, Cold Wallet Allocation Empfehlung, Crypto Risk Score Volatility-Based, Altcoin Exposure Warnings, Stablecoin Reserve Optimizer, Crypto Fear & Greed Index Display, Blockchain Transaction Visualizer (D3.js Network), GSAP Price Change Animations - USE CASE: Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization",
        "overview": "baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-015",
        "title": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional",
        "prompt_number": 15,
        "prompt": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bond Ladder Visualizer 1-30 Jahre Laufzeiten (D3.js Gantt), Yield-to-Maturity Calculator, Duration & Convexity Analyzer, Interest Rate Risk Simulator Rising/Falling Rates, Credit Rating Breakdown AAA bis Junk (ApexCharts Stacked Bar), Municipal Bonds Tax-Equivalent Yield, Corporate Bonds vs Government Bonds Spread, Inflation-Protected TIPS Calculator, Callable Bonds Risk Analyzer, Bond Allocation nach Alter Glide Path, Coupon Payment Calendar, Bond Fund vs Individual Bonds Comparison, GSAP Bond Maturity Animations - USE CASE: Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield",
        "overview": "erstelle einen DVAG Anleihen-Portfolio-Manager Professional",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-016",
        "title": "entwickle ein DVAG Alternative-Investments-Dashboard",
        "prompt_number": 16,
        "prompt": "entwickle ein DVAG Alternative-Investments-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alternative Assets Tracker Gold/Commodities/Art/Wine/Collectibles, Real Estate Crowdfunding Portfolio, Private Equity Holdings, Peer-to-Peer Lending Returns, Correlation zu Traditional Assets (D3.js Heatmap), Liquidity Risk Analyzer Lock-Up Periods, Alternative Investment Allocation 5-20% Portfolio, Inflation Hedge Calculator Gold/Commodities, Vintage Performance Tracker Wine Investment, NFT Portfolio Tracker optional, Hedge Fund Allocation, Venture Capital Exposure, GSAP Alternative Asset Animations - USE CASE: Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio",
        "overview": "entwickle ein DVAG Alternative-Investments-Dashboard",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-017",
        "title": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced",
        "prompt_number": 17,
        "prompt": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Factor Exposure Analyzer Value/Growth/Momentum/Quality/Low Volatility/Size, Faktor-Prämien Historical Returns (ApexCharts Multi-Line), Portfolio Factor Loading (D3.js Radar Chart), Factor Timing Indicators, Multi-Factor Portfolio Builder, Factor Correlation Matrix, Smart Beta ETF Selector, Factor Concentration Risk, Value Spread Indicator günstig vs teuer, Momentum Ranking System, Quality Score Composite, Size Premium Small vs Large Cap, GSAP Factor Visualization Animations - USE CASE: Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns",
        "overview": "programmiere einen DVAG Faktor-Investing-Analyzer Advanced",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-018",
        "title": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization",
        "prompt_number": 18,
        "prompt": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Target Allocation Comparison (ApexCharts Radar), Drift Analyzer wie weit von Target (D3.js Bar Chart Deviation), Rebalancing Trade Calculator minimale Trades, Tax-Lot Optimizer Highest Cost Basis zuerst, Wash Sale Rule Checker, Capital Gains Impact Estimator Short vs Long-Term, Rebalancing Frequency Optimizer, Threshold-Based Rebalancing 5%/10%/20% Bands, Cash Flow Rebalancing mit neuen Beiträgen, Asset Location Optimizer Taxable vs Tax-Deferred, Transaction Cost Minimizer, Rebalancing History Tracker, GSAP Trade Animations - USE CASE: Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing",
        "overview": "baue ein DVAG Rebalancing-Planner mit Tax-Optimization",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-019",
        "title": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced",
        "prompt_number": 19,
        "prompt": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: DCA vs Lump Sum Comparison Historisch (ApexCharts Line Chart), Monte Carlo Simulation 1000 Runs (D3.js Distribution), Volatility Impact auf DCA, DCA Schedule Optimizer monatlich/wöchentlich/täglich, Market Timing Failure Visualizer, Bear Market DCA Advantage, Psychological Benefit Score DCA, Automated Investment Plan Builder, Cost Basis Tracking, DCA Performance verschiedene Assets, Scenario Planner Bull/Bear/Sideways Market, Historical Backtest S&P500 40 Jahre, GSAP DCA Purchase Animations - USE CASE: Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren",
        "overview": "erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-020",
        "title": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical",
        "prompt_number": 20,
        "prompt": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historical Factor Performance 1930-2024 (ApexCharts Multi-Line), Value Premium Tracker HML High-Minus-Low, Size Premium SMB Small-Minus-Big, Momentum Premium UMD Up-Minus-Down, Quality Premium RMW Robust-Minus-Weak, Factor Drawdown Analysis, Factor Cyclicality Bull vs Bear Markets, Multi-Factor Portfolio Backtester, Sharpe Ratio Comparison Factors, Factor Regression Analyzer, Long Dry Spells Identifier Value Lost Decade, Factor Diversification Benefit, GSAP Historical Chart Animations - USE CASE: Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data ## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "overview": "entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical",
        "category": "INVESTMENT & PORTFOLIO TOOLS",
        "category_number": 2,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data ## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-021",
        "title": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett",
        "prompt_number": 21,
        "prompt": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Human Life Value Calculator Einkommen kapitalisiert, DIME Method Debt/Income/Mortgage/Education, Needs-Based Analysis Family Income Replacement, Term Life vs Whole Life Comparison (ApexCharts Bar Chart), Laddering Strategy Visualizer 10/20/30 Jahre (D3.js Timeline), Premium Calculator Alter/Gesundheit/Betrag, Benefit Calculator Todesfall-Summe, Mortgage Protection Analyzer, Children Education Fund Bedarf, Final Expenses Bestattung, Income Replacement Duration bis Rente, Inflation Adjuster Kaufkraft, Coverage Gap Identifier Unterversicherung, GSAP Insurance Needs Animations - USE CASE: Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance",
        "overview": "erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-022",
        "title": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional",
        "prompt_number": 22,
        "prompt": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: BU-Renten-Bedarf Calculator 60-80% Nettoeinkommen, Versorgungslücken-Analyse gesetzlich vs privat, Berufsgruppen-Risiko-Bewertung (D3.js Risk Matrix), Leistungsdauer bis 67 Jahre, Dynamik-Option Inflation Protection, Prämien-Vergleich mit/ohne Dynamik (ApexCharts), Abstract vs Konkrete Verweisung Impact, Gesundheitsfragen-Simulator, Ausschlüsse & Einschränkungen Visualizer, Wartezeit & Karenzzeit Erklärer, BU-Rente steuerliche Behandlung, Nachversicherungsgarantie Wert-Rechner, GSAP Risk Animations - USE CASE: Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung",
        "overview": "entwickle einen DVAG Berufsunfähigkeits-Rechner Professional",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-023",
        "title": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV",
        "prompt_number": 23,
        "prompt": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: PKV vs GKV Lifetime Cost Comparison (ApexCharts Line Chart), Einkommensschwelle Wechsel PKV 66.600€, Familienplanung Impact Kinder GKV kostenlos, Selbstbehalt-Optimizer 300€ bis 2000€, Beitragsrückerstattung Calculator, Altersrückstellungen PKV Visualizer, Beitragsentwicklung Prognose 40 Jahre, Leistungsvergleich Einzelzimmer/Chefarzt, Zusatzversicherungen Bedarf Zahn/Brille/Heilpraktiker, Auslandsreise-Krankenversicherung, Pflegepflichtversicherung, Wechsel-Szenarien zurück in GKV, GSAP Comparison Animations - USE CASE: Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung",
        "overview": "programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-024",
        "title": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden",
        "prompt_number": 24,
        "prompt": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassische Rentenversicherung vs Fondsgebundene Comparison, Garantiezins Impact 0.25% aktuell, Überschussbeteiligung Historical, Fondspolice Performance-Szenarien 4%/6%/8% (ApexCharts), Kosten-Transparenz Effektivkosten, Ablaufleistung Calculator, Lebenslange Rente vs Kapital-Option, Dynamik-Option bei Rentenpolicen, Hinterbliebenenschutz Rentengarantiezeit, Berufsunfähigkeits-Zusatzversicherung in Police, Steuerliche Behandlung Ertragsanteil, Riester/Rürup Integration möglich, GSAP Renten-Animations - USE CASE: Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz",
        "overview": "baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-025",
        "title": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool",
        "prompt_number": 25,
        "prompt": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rechtsschutz-Bereiche Checker Privat/Beruf/Verkehr/Wohnen/Steuer, Risiko-Assessment nach Lebenssituation (D3.js Risk Matrix), Selbstbeteiligung-Optimizer 150€ bis 500€, Deckungssummen-Empfehlung, Wartezeit-Erklärer 3 Monate, Leistungsausschlüsse Visualizer, Mediation-Option, Strafrechtsschutz Verkehr, Arbeitsrechtsschutz Kündigung, Mietrechtsschutz Vermieter/Mieter, Steuerrechtsschutz Finanzamt, Familienrechtsschutz, GSAP Rechtsbereich Animations - USE CASE: Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang",
        "overview": "erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-026",
        "title": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung",
        "prompt_number": 26,
        "prompt": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Hausrat-Wert-Ermittlung Pauschal 650€/m², Einzelbewertung Möbel/Elektronik/Schmuck/Kunst, Unterversicherung-Risiko Visualizer (ApexCharts Gauge), Versicherungssummen-Empfehlung, Wertsachen-Grenze 20% Standard, Fahrrad-Diebstahl Nachts draußen, Elementarschaden-Zusatz Hochwasser/Starkregen, Glasbruch-Versicherung, Grobe Fahrlässigkeit Mitversichert, Neuwert vs Zeitwert Erstattung, Hausrat im Ausland Urlaub, Prämien-Vergleich verschiedene Summen, GSAP Value Counter Animations - USE CASE: Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme",
        "overview": "entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-027",
        "title": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich",
        "prompt_number": 27,
        "prompt": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadenfreiheitsklasse-Tracker SF 0 bis SF 35, Selbstbeteiligung-Optimizer Vollkasko/Teilkasko (ApexCharts Break-Even), Rabatt-Maximizer Garage/Wenigfahrer/Partner, Schadenfreiheitsrabatt-Retter bei Schaden, Typklasse & Regionalklasse Info, Neuwert-Entschädigung GAP-Versicherung, Werkstattbindung Rabatt vs Flexibilität, Mallorca-Police Ausland, Fahrerschutz-Versicherung, Telematik-Tarife Score-Based, Versicherungswechsel-Timing Stichtag 30.11., Prämien-Entwicklung Projection (D3.js), GSAP Car Animations - USE CASE: Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl",
        "overview": "programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-028",
        "title": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten",
        "prompt_number": 28,
        "prompt": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflegegrad-Erklärer 1 bis 5, Pflegekosten-Rechner Heim vs Ambulant (ApexCharts Stacked Bar), Pflegelücke gesetzlich vs privat, Tagegeld-Bedarfsermittlung, Pflege-Bahr geförderte Versicherung, Dynamik-Option Leistungsanpassung, Wartezeit 5 Jahre Standard, Leistung bei Demenz, Assistance-Leistungen Organisation, Einmalzahlung bei Pflegefall, Pflege-Rente lebenslang, Angehörigen-Pflege Unterstützung, GSAP Pflege-Level Animations - USE CASE: Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt",
        "overview": "baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-029",
        "title": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool",
        "prompt_number": 29,
        "prompt": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Laddering Strategy Builder 3-5 Policen (D3.js Timeline), Bedarf-Reduktion über Zeit Hypothek abbezahlt/Kinder erwachsen, Premium-Optimizer gestaffelte Laufzeiten billiger, Coverage Amount pro Stufe Calculator, Term Length Optimizer 10/15/20/25/30 Jahre, Gesamt-Prämie Laddering vs Single Policy (ApexCharts), Return of Premium Option Kosten, Convertibility Option zu Whole Life, Contestability Period 2 Jahre, Suicide Clause, Medical Exam vs No-Exam Policies, Laddering Visualization interactive (D3.js), GSAP Ladder Animations - USE CASE: Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung",
        "overview": "erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-030",
        "title": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht",
        "prompt_number": 30,
        "prompt": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Versicherungen Übersicht Leben/BU/Kranken/Haftpflicht/Hausrat/Kfz/Rechtsschutz, Prämien-Summe monatlich/jährlich (ApexCharts Pie Chart Anteil), Coverage Gaps Identifier Unterversicherung, Overlap Detector Doppelversicherung, Versicherungs-Optimierungspotenzial, Policen-Ablauf Kalender wichtige Termine, Schadenfall-Melde-Assistent, Vertrags-Dokumente Vault, Beneficiary Management Begünstigte, Insurance Score Gesamtbewertung, Cost-Benefit Ratio Calculator, Versicherungs-Checkliste Lebensphase, GSAP Portfolio Animations - USE CASE: Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten ## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG",
        "overview": "entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht",
        "category": "VERSICHERUNGS-APPS & BEDARFSANALYSE",
        "category_number": 3,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten ## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-031",
        "title": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced",
        "prompt_number": 31,
        "prompt": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Annuitäten-Darlehen Calculator Zinssatz/Tilgung/Laufzeit, Tilgungsplan-Visualizer 30 Jahre Monat für Monat (D3.js), Forward-Darlehen Planer Zinsbindung 5/10/15/20 Jahre, Sondertilgungs-Impact Simulator jährlich 5%, Anschlussfinanzierungs-Rechner nach Zinsbindung, Eigenkapital-Optimizer 10% bis 30%, Nebenkosten-Rechner Notar/Grunderwerbsteuer/Makler, Haushaltsrechnung Belastungsgrenze 40% Netto, Förderkredit KfW-Darlehen Integration, Kaufpreis vs Miete Comparison 30 Jahre (ApexCharts), Wertsteigerung Immobilie Projection, GSAP Loan Amortization Animations - USE CASE: Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent",
        "overview": "erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-032",
        "title": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let",
        "prompt_number": 32,
        "prompt": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Mietrendite Calculator Jahresnettokaltmiete/Kaufpreis, Netto-Mietrendite nach Kosten Hausgeld/Instandhaltung/Verwaltung, Eigenkapitalrendite mit Fremdfinanzierung Leverage, Cashflow-Rechner monatlich (ApexCharts Waterfall), Cap Rate Calculator, Cash-on-Cash Return, Loan-to-Value Ratio, Vacancy Rate Impact 5-10%, Property Management Kosten, Maintenance Reserve 1% Kaufpreis jährlich, Property Tax Grundsteuer, Rental Income Growth 2% jährlich, GSAP Rendite Animations - USE CASE: Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten",
        "overview": "entwickle einen DVAG Mietrendite-Calculator Buy-to-Let",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-033",
        "title": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert",
        "prompt_number": 33,
        "prompt": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichswertverfahren Rechner ähnliche Objekte, Ertragswertverfahren Vermietete Objekte Kapitalisierung, Sachwertverfahren Substanzwert, Lage-Bewertungs-Matrix Mikro/Makro-Lage (D3.js Heatmap), Ausstattungs-Score Standard/Gehoben/Luxus, Zustand-Bewertung Modernisierungsbedarf, Grundstücks-Bewertung Bodenrichtwert, Marktwert-Ermittlung nach WertV, Verkehrswert-Gutachten Simulator, Wertsteigerungspotenzial Prognose, Objektvergleich Side-by-Side bis 5 Immobilien, GSAP Valuation Animations - USE CASE: Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert",
        "overview": "programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-034",
        "title": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung",
        "prompt_number": 34,
        "prompt": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zinsbindungs-Strategie Chooser 5/10/15/20/25/30 Jahre, Variable vs Fixed Rate Comparison, Split-Strategie 50% fix + 50% variabel, Forward-Darlehen Timing Optimizer, Zinsentwicklungs-Szenarien steigend/fallend/konstant (ApexCharts), Restschuld-Entwicklung verschiedene Strategien (D3.js Multi-Line), Sondertilgungs-Rechte 5-10% jährlich, Volltilger-Darlehen Laufzeit-Reduktion, KfW-Förderkredite kombinieren, Bereitstellungszins-Vermeidung, Vorfälligkeitsentschädigung Calculator bei Kündigung, GSAP Strategy Comparison Animations - USE CASE: Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz",
        "overview": "baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-035",
        "title": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI",
        "prompt_number": 35,
        "prompt": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: ROI Calculator Return on Investment Total, IRR Internal Rate of Return Calculation, NPV Net Present Value Discounted Cashflows, Payback Period Calculator, Equity Multiple Rechner, Total Return inkl. Wertsteigerung + Cashflow (ApexCharts), Tax Benefits Abschreibung AfA 2-3% jährlich, Leverage Impact 80% Fremdfinanzierung, Exit Strategy Analyzer Verkauf nach 10/15/20 Jahren, Market Appreciation verschiedene Szenarien 2-5%, Inflation Impact Real Returns, Opportunity Cost vs Aktien ETF Comparison, GSAP ROI Animations - USE CASE: Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits",
        "overview": "erstelle ein DVAG Immobilien-Investment-Analyzer ROI",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-036",
        "title": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator",
        "prompt_number": 36,
        "prompt": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kaufen vs Mieten 30-Jahre-Vergleich Total Cost (ApexCharts Line Chart), Opportunity Cost Calculator Eigenkapital in ETF investiert, Maintenance Cost Eigenheim 1% jährlich, Property Tax vs keine bei Miete, Transaction Costs Kauf/Verkauf Notar/Makler, Mobility Flexibility Score Miete höher, Forced Savings Eigenheim, Leverage Benefit Eigenkapital-Rendite, Home Equity Build-up (D3.js Area Chart), Rent vs Buy Break-Even Point, Market Scenarios Immobilienpreise steigen/fallen, Emotional Benefits Eigenheim, GSAP Comparison Animations - USE CASE: Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete",
        "overview": "entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-037",
        "title": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten",
        "prompt_number": 37,
        "prompt": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundstückskosten Budget, Baukosten Quadratmeterpreis 1500-3000€, Baunebenkosten 15-20% Architekt/Statiker/Bauantrag, Außenanlagen Garten/Einfahrt/Zaun, Eigenleistung-Kalkulator Muskelhypothek, Kostenpuffer 10-15% Unvorhergesehenes, Finanzierungskosten während Bauphase Bereitstellungszins, Förderung KfW 40/40+ Zuschüsse, Bauzeit-Planer Monate bis Fertigstellung (D3.js Gantt Chart), Zahlungsplan nach Baufortschritt, Abnahme-Kosten Gutachter, Innenausstattung Küche/Bäder, GSAP Budget Build-up Animations - USE CASE: Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung",
        "overview": "programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-038",
        "title": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property",
        "prompt_number": 38,
        "prompt": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Property Dashboard alle Immobilien (D3.js Map Locations), Portfolio Performance ROI/Cashflow gesamt, Loan-to-Value Ratio Portfolio, Diversifikation Score Geographic/Property Type, Total Equity Build-up alle Properties, Vacancy Rates Tracking, Maintenance Issues Tracker, Tenant Management pro Property, Rental Income Streams (ApexCharts Stacked Area), Property Appreciation Timeline, Debt Service Coverage Ratio, Portfolio Rebalancing Recommendations Verkauf/Kauf, GSAP Multi-Property Animations - USE CASE: Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral",
        "overview": "baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-039",
        "title": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung",
        "prompt_number": 39,
        "prompt": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Renovierungs-Maßnahmen ROI Küche/Bad/Dach/Fenster/Heizung, Cost vs Value Report verschiedene Projekte (ApexCharts Bar Chart), Wertsteigerung Percentage pro Maßnahme, Energy Efficiency Upgrades KfW-Förderung, Curb Appeal Projects Vorgarten/Fassade, Kitchen Remodel ROI 60-80%, Bathroom Remodel ROI 50-70%, Roof Replacement ROI, HVAC System Upgrade, Window Replacement Energy Savings, Prioritization Matrix Impact vs Cost (D3.js Scatter), Financing Options Modernisierungskredit, GSAP Renovation Animations - USE CASE: Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI",
        "overview": "erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-040",
        "title": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer",
        "prompt_number": 40,
        "prompt": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Refinancing Calculator neuer Zins vs aktuell, Break-Even Point Refinanzierung-Kosten vs Savings (ApexCharts), Vorfälligkeitsentschädigung Calculator bei vorzeitiger Ablösung, Cash-Out Refinancing Option Equity herausnehmen, Rate-and-Term Refinancing, Interest-Only to Principal-Interest Switch, ARM to Fixed Rate Conversion, Loan Term Reduction 30 zu 15 Jahre, Closing Costs Estimate Notar/Grundbuch, Monthly Payment Reduction (D3.js Comparison), Lifetime Interest Savings, Market Timing Zinsentwicklung, GSAP Refinancing Animations - USE CASE: Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung ## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM",
        "overview": "entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer",
        "category": "IMMOBILIEN-TOOLS & FINANZIERUNG",
        "category_number": 4,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung ## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-041",
        "title": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management",
        "prompt_number": 41,
        "prompt": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kunden-Datenbank sortable/filterable/searchable, Contact Management Telefon/Email/Adresse, Kundenlebenszyklus-Status Interessent/Neukunde/Bestandskunde/Inaktiv (D3.js Funnel), Produktbesitz-Matrix Kunde x Produkte, Cross-Sell Opportunities Identifier, Nächste Kontakt-Termine Kalender, Geburtstags-Reminder, Vertragsablauf-Alerts, Notes & Communication History, Customer Lifetime Value Berechnung, Kundensegmentierung ABC-Analyse, Referral Tracking Empfehlungen, GSAP CRM Animations - USE CASE: DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up",
        "overview": "erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-042",
        "title": "entwickle einen DVAG Provisions-Tracker mit Forecasting",
        "prompt_number": 42,
        "prompt": "entwickle einen DVAG Provisions-Tracker mit Forecasting - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Provisions-Dashboard monatlich/quartalsweise/jährlich (ApexCharts Column Chart), Produktarten-Mix Lebensversicherung/BU/Fonds/Immobilien, Bestands-Provisionen vs Abschluss-Provisionen, Provisions-Forecast basierend auf Pipeline, Commission Structure Visualizer Staffelung nach Volumen, YTD Year-to-Date Tracking, Quota Attainment Prozent vom Ziel, Leaderboard Ranking im Team, Top Producers Analyse, Revenue per Client Calculation, Churn Rate Impact auf Bestandsprovisionen, Seasonal Patterns Heatmap (D3.js), GSAP Commission Counter Animations - USE CASE: DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix",
        "overview": "entwickle einen DVAG Provisions-Tracker mit Forecasting",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-043",
        "title": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling",
        "prompt_number": 43,
        "prompt": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kalender-Ansicht Tag/Woche/Monat, Termin-Buchung mit Kundenauswahl, Termin-Typen Erstgespräch/Beratung/Jahresgespräch/Vertragsabschluss, Zeitslot-Blocker für Admin-Zeit, Erinnerungs-System 24h/1h vor Termin, No-Show Tracking, Doppelbuchung-Prevention, Travel Time Calculator zwischen Terminen, Kundenwunsch-Zeitfenster, Meeting Notes Attachment, Follow-up Task Creation nach Termin, Google Calendar Sync Mock, GSAP Calendar Animations - USE CASE: DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung",
        "overview": "programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-044",
        "title": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter",
        "prompt_number": 44,
        "prompt": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sales Funnel Visualizer Leads/Qualifiziert/Proposal/Negotiation/Closed (D3.js Funnel Chart), Conversion Rates pro Stage, Deal Value in Pipeline Total, Weighted Pipeline Wahrscheinlichkeit × Wert, Average Sales Cycle Tage von Lead zu Close, Win Rate Calculator Abschlussquote, Lead Source Tracking Empfehlung/Kaltakquise/Event/Online, Pipeline Velocity wie schnell Deals durchlaufen, Lost Reasons Analysis warum verloren, Sales Activities Calls/Meetings/Proposals, Top Deals highlighting, Pipeline Health Score, GSAP Funnel Animations - USE CASE: DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline",
        "overview": "baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-045",
        "title": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage",
        "prompt_number": 45,
        "prompt": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dokumenten-Upload Verträge/Ausweise/Einkommensnachweise, Dokumenten-Kategorisierung Versicherung/Investment/Steuer/Immobilien, Verschlüsselung Mock Sicherheit, Versions-Kontrolle Dokumente, Ablaufdatum-Tracking Ausweisdokumente, OCR Mock Text-Extraktion, Volltextsuche in Dokumenten, Sharing-Links zeitlich begrenzt, Audit Trail wer hat wann zugegriffen, Storage Quota Visualizer (ApexCharts Gauge), Backup & Export Funktion, Compliance DSGVO-konform, GSAP Document Upload Animations - USE CASE: DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen",
        "overview": "erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-046",
        "title": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel",
        "prompt_number": 46,
        "prompt": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Communication Timeline alle Touchpoints Telefon/Email/SMS/WhatsApp/persönlich (D3.js Timeline), Kontakt-Frequenz Tracking, Last Contact Date Reminder, Communication Preferences Kunde bevorzugt Email/Telefon, Email Template Library, SMS Bulk-Versand Geburtstage, WhatsApp Business Integration Mock, Call Notes pro Gespräch, Email Open/Click Tracking Mock, Response Time Analyzer, Follow-up Reminder Engine, Communication Volume Heatmap (D3.js), GSAP Message Animations - USE CASE: DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle",
        "overview": "entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-047",
        "title": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance",
        "prompt_number": 47,
        "prompt": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Beratungsprotokoll-Generator nach §34f GewO, Compliance-Checkliste alle Pflichtangaben, Risikoklassen-Ermittlung Kunde, Geeignetheits-Prüfung Produkt vs Kunde Match, Beratungsnachweis-PDF automatisch, Dokumentationspflicht-Erfüller, Haftungsrisiko-Minimizer, Widerrufsbelehrung Generator, Produktinformationsblatt Attachment, Vergütung-Offenlegung Pflicht, Beratungsfehler-Vermeidung, Quality Score pro Beratung (ApexCharts Radar), GSAP Compliance Animations - USE CASE: DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation",
        "overview": "programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-048",
        "title": "baue ein DVAG Berater-Performance-Dashboard Analytics",
        "prompt_number": 48,
        "prompt": "baue ein DVAG Berater-Performance-Dashboard Analytics - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Dashboard Abschlüsse/Umsatz/Neukundenrate/Cross-Sell-Quote, Monatliche Performance Trends (ApexCharts Line Charts), Ziel vs Ist Comparison, Product Mix Analysis Diversifikation, Customer Acquisition Cost Calculator, Customer Lifetime Value, Retention Rate Bestandskunden, Referral Rate Empfehlungsquote, Activities Metrics Calls/Meetings/Proposals pro Woche, Time Management Analyse produktive vs administrative Zeit, Peer Comparison anonymisiert, Growth Rate YoY Year-over-Year, GSAP KPI Counter Animations - USE CASE: DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance",
        "overview": "baue ein DVAG Berater-Performance-Dashboard Analytics",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-049",
        "title": "erstelle ein DVAG Lead-Scoring-System Priorisierung",
        "prompt_number": 49,
        "prompt": "erstelle ein DVAG Lead-Scoring-System Priorisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead Scoring Model demografisch/verhaltensbezogen/firmografisch, Score Calculation 0-100 Punkte, Lead Grade A/B/C/D basierend auf Score (D3.js Scatter Plot Score vs Engagement), Behavioral Signals Website-Besuche/Email-Opens/Content-Downloads, Demographic Factors Alter/Einkommen/Familie, Firmographic Factors Branche/Unternehmensgröße bei B2B, Engagement Level Interaktionen, Buying Intent Signals, Negative Scoring Disqualifiers, Lead Source Quality Rating, Automated Lead Assignment basierend auf Score, Lead Nurturing Recommendations, GSAP Lead Score Animations - USE CASE: DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads",
        "overview": "erstelle ein DVAG Lead-Scoring-System Priorisierung",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-050",
        "title": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training",
        "prompt_number": 50,
        "prompt": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainings-Fortschritt Dashboard alle Kurse, Skill-Bewertung Radar Chart (ApexCharts) Produkte/Compliance/Sales/Soft Skills, Zertifikate Tracker IHK/Sachkundenachweise, Weiterbildungs-Pflicht 15h jährlich, Learning Path Visualizer vom Einstieg zum Senior Berater (D3.js Tree), Quiz-Scores Wissensüberprüfung, Video-Trainings Completed, Peer Learning Studiengruppen, Mentorship Program Match, Career Progression Timeline, Next Certification Reminder, CPE Continuing Professional Education Tracker, GSAP Learning Animations - USE CASE: DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team ## Kategorie 6: STEUER & RECHT TOOLS",
        "overview": "entwickle einen DVAG Berater-Academy-Progress-Tracker Training",
        "category": "BERATER-PRODUKTIVITÄT & CRM",
        "category_number": 5,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team ## Kategorie 6: STEUER & RECHT TOOLS",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-051",
        "title": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert",
        "prompt_number": 51,
        "prompt": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Netto-Rechner Lohnsteuer/Soli/Kirchensteuer, Steuerklassen 1-6 Auswahl, Progressionsvorbehalt Visualizer (ApexCharts Stacked Area), Grenzsteuersatz vs Durchschnittssteuersatz, Kalte Progression Impact Inflation, Abzugsfähige Kosten Werbungskosten/Sonderausgaben/außergewöhnliche Belastungen, Steuerfreibeträge Grundfreibetrag/Kinderfreibetrag/Sparerpauschbetrag, Solidaritätszuschlag 5.5% ab 2021 Grenze, Kirchensteuer 8-9% je Bundesland, Steuererstattung Calculator, Jahressteuererklärung Simulator, Tax Bracket Visualizer (D3.js), GSAP Tax Calculation Animations - USE CASE: Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge",
        "overview": "erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-052",
        "title": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer",
        "prompt_number": 52,
        "prompt": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Abgeltungsteuer 25% + Soli 5.5% = 26.375%, Sparerpauschbetrag 1000€ Single / 2000€ Married, Freistellungsauftrag Manager mehrere Banken, Günstigerprüfung wenn persönlicher Steuersatz < 25%, Teilfreistellung Aktienfonds 30% / Mischfonds 15% / Immobilienfonds 60%, Kirchensteuer auf Kapitalerträge, Quellensteuer Ausland anrechenbar, Verlustverrechnung Aktien/Sonstige, Verlustverrechnungstopf Carry-Forward, Zinsen/Dividenden/Kursgewinne separate Töpfe, Tax-Loss Harvesting Strategie, Steueroptimierung Thesaurierend vs Ausschüttend ETF (ApexCharts), GSAP Tax Optimization Animations - USE CASE: Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal",
        "overview": "entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-053",
        "title": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge",
        "prompt_number": 53,
        "prompt": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbschaftsteuer-Calculator nach Verwandtschaftsgrad, Freibeträge Ehepartner 500k / Kinder 400k / Enkel 200k / Geschwister 20k, Steuerklassen I/II/III unterschiedliche Sätze (ApexCharts Bar Chart), Stufentarif 7% bis 50%, Selbstgenutzte Immobilie steuerfrei Ehepartner/Kinder unter Bedingungen, 10-Jahres-Regel mehrfache Schenkungen, Nießbrauch-Rechner Wert-Minderung, Kettenschenkung Optimierung Eltern→Kinder→Enkel, Berliner Testament Steuernachteil, Günstigere Varianten Vermögen verteilen, Erbschaftsteuer-Optimierungs-Strategien (D3.js Flow), GSAP Inheritance Animations - USE CASE: Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung",
        "overview": "programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-054",
        "title": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie",
        "prompt_number": 54,
        "prompt": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schenkungsteuer identisch mit Erbschaftsteuer Freibeträge/Sätze, 10-Jahres-Frist-Tracker Freibeträge alle 10 Jahre erneut, Schenkungsplan-Optimizer Vermögensübertragung über 30 Jahre (D3.js Timeline), Kettenschenkung Eltern→Kinder→Enkel doppelte Freibeträge, Nießbrauch-Vorbehalt Schenkung mit Nutzungsrecht, Wohnrecht-Eintragung Immobilienschenkung, Rückforderungsvorbehalt wenn Beschenkter vorverstirbt, Schenkung unter Auflage Pflege im Alter, Gemischte Schenkung Teil entgeltlich, Taggenaue Berechnung 10-Jahres-Frist, Steuerersparnis-Visualizer Schenkung vs Erbe (ApexCharts), GSAP Gift Planning Animations - USE CASE: Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie",
        "overview": "baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-055",
        "title": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL",
        "prompt_number": 55,
        "prompt": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: VL-Betrag Arbeitgeber max 40€/Monat, Arbeitnehmersparzulage 20% auf Aktien-VL (max 400€ VL → 80€ Zulage), Einkommensgrenzen Ledige 40.000€ / Verheiratete 80.000€, VL-Anlagemöglichkeiten Bausparvertrag/Aktien-Fondssparplan/Banksparplan, Sperrfrist 7 Jahre, VL-Fondssparplan Rendite-Projektion (ApexCharts Line Chart), Arbeitgeberzuschuss + Sparzulage + Rendite = Total Benefit, VL vs selbst sparen Comparison, Steuerfreie Einzahlung des Arbeitgebers, Zulageantrag automatisch vs manuell, VL-Rechner verschiedene Szenarien (D3.js), GSAP VL Animations - USE CASE: Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat",
        "overview": "erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-056",
        "title": "entwickle einen DVAG Riester-Renten-Rechner Förderquote",
        "prompt_number": 56,
        "prompt": "entwickle einen DVAG Riester-Renten-Rechner Förderquote - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Riester-Zulagen Grundzulage 175€/Jahr + Kinderzulage 300€/Kind, Mindesteigenbeitrag 4% Bruttoeinkommen minus Zulagen, Sockelbeitrag 60€/Jahr Minimum, Steuerliche Förderung Sonderausgabenabzug max 2100€, Günstigerprüfung Zulage vs Steuervorteil, Förderquote Calculator Zulagen/Eigenbeitrag, Riester-Produktvergleich Versicherung/Fondssparplan/Banksparplan/Wohn-Riester, Zulagenantrag Permanent-Zulagenantrag, Schädliche Verwendung Auszahlung vor Rente, Nachgelagerte Besteuerung Rentenbezug, Riester vs ETF-Sparplan Vergleich (ApexCharts), GSAP Riester Animations - USE CASE: Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen",
        "overview": "entwickle einen DVAG Riester-Renten-Rechner Förderquote",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-057",
        "title": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige",
        "prompt_number": 57,
        "prompt": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rürup-Basisrente für Selbständige/Freiberufler, Steuerliche Absetzbarkeit 2024: 100% von max 27.566€ (Ledige) / 55.132€ (Verheiratete), Steuervorteil-Rechner nach persönlichem Steuersatz, Nachgelagerte Besteuerung in Rente, Rürup vs private Altersvorsorge Vergleich (ApexCharts), Kapitalwahlrecht nicht möglich nur lebenslange Rente, Hartz-IV-sicher Pfändungsschutz, Vererbung nicht möglich außer Hinterbliebenenrente, Zusatzbausteine BU/Hinterbliebenenabsicherung, Rürup-Produktvergleich Versicherung vs Fondssparplan, Rendite-Projektion (D3.js), GSAP Rürup Animations - USE CASE: Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis",
        "overview": "programmiere ein DVAG Rürup-Renten-Rechner Selbständige",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-058",
        "title": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV",
        "prompt_number": 58,
        "prompt": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: bAV-Durchführungswege Direktversicherung/Pensionskasse/Pensionsfonds/Direktzusage/Unterstützungskasse, Entgeltumwandlung Brutto zu bAV Steuer- und Sozialversicherungsfrei, Fördergrenze 2024: 8% BBG = 7.248€ sv-frei / 4% BBG darüber hinaus steuerfrei, Arbeitgeberzuschuss Pflicht 15% bei Sozialversicherungsersparnis, Steuerersparnis durch Bruttoumwandlung (ApexCharts Waterfall), Nachgelagerte Besteuerung + Krankenversicherung in Rente, Portabilität bei Arbeitgeberwechsel, Riester-Förderung zusätzlich möglich, bAV vs private Altersvorsorge Comparison, Unverfallbarkeit nach 3 Jahren, GSAP bAV Animations - USE CASE: Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung",
        "overview": "baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-059",
        "title": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung",
        "prompt_number": 59,
        "prompt": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Jahresendrallye Steueroptimierung November/Dezember, Sonderausgaben vorziehen Versicherungen/Spenden/Riester, Werbungskosten maximieren Arbeitszimmer/Fortbildung/Fachliteratur, Außergewöhnliche Belastungen Krankheitskosten/Pflegekosten, Handwerkerleistungen 20% abzugsfähig max 1200€, Haushaltsnahe Dienstleistungen 20% max 4000€, Verlustverrechnung realisieren Tax-Loss Harvesting, Abschreibungen Immobilien AfA, Investitionsabzugsbetrag Selbständige, Sonderabschreibung degressive AfA, Steueroptimierungs-Checkliste (D3.js Flow Diagram), Steuerersparnis-Potential Calculator (ApexCharts), GSAP Year-End Planning Animations - USE CASE: Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung",
        "overview": "erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-060",
        "title": "entwickle einen DVAG Steuererklärung-Assistent Deutschland",
        "prompt_number": 60,
        "prompt": "entwickle einen DVAG Steuererklärung-Assistent Deutschland - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Steuererklärung-Wizard Schritt-für-Schritt, Anlage N Einkünfte nichtselbständige Arbeit, Anlage KAP Kapitaleinkünfte, Anlage V Vermietung Verpachtung, Anlage AV Altersvorsorge Riester/Rürup, Werbungskosten-Pauschalen vs Einzelnachweis, Entfernungspauschale 30 Cent/km, Arbeitszimmer-Rechner, Verpflegungsmehraufwand Dienstreisen, Doppelte Haushaltsführung, Fortbildungskosten, Steuererstattung-Prognose (ApexCharts Gauge), ELSTER Mock-Export, Abgabefrist-Reminder 31.7., GSAP Form Fill Animations - USE CASE: Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung ## Kategorie 7: ALTERSVORSORGE & RENTE",
        "overview": "entwickle einen DVAG Steuererklärung-Assistent Deutschland",
        "category": "STEUER & RECHT TOOLS",
        "category_number": 6,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung ## Kategorie 7: ALTERSVORSORGE & RENTE",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-061",
        "title": "erstelle ein DVAG Rentenlücken-Rechner Deutschland",
        "prompt_number": 61,
        "prompt": "erstelle ein DVAG Rentenlücken-Rechner Deutschland - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesetzliche Rente Estimator basierend auf Entgeltpunkten, Rentenniveau aktuell 48% sinkt auf 43%, Versorgungslücke Current Lifestyle vs Gesetzliche Rente (ApexCharts Gap Chart), 3-Schichten-System gesetzlich/betrieblich/privat Visualizer (D3.js Stacked Area), Inflationsbereinigung Kaufkraft im Alter, Lebenserwartung Calculator Durchschnitt + 10 Jahre Sicherheit, Zusätzlicher Kapitalbedarf bis Lebensende, Sparrate-Berechnung um Lücke zu schließen, Rentenbeginn-Optimizer 63/65/67/70 Jahre Abschläge/Zuschläge, Teilrente in Kombi mit Teilzeit, Steuer auf Rente Ertragsanteil 2040: 100%, GSAP Gap Visualization Animations - USE CASE: Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar",
        "overview": "erstelle ein DVAG Rentenlücken-Rechner Deutschland",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-062",
        "title": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt",
        "prompt_number": 62,
        "prompt": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schicht 1 Basisversorgung Gesetzliche Rente/Rürup, Schicht 2 Zusatzversorgung bAV/Riester, Schicht 3 Kapitalanlage private Renten/ETF/Immobilien, Gesamtrenten-Projektion alle Schichten (ApexCharts Stacked Column), Optimale Schichtung nach Steuersituation, Schicht-Priorisierung für verschiedene Berufsgruppen Angestellt/Beamte/Selbständig, Tax Treatment jeder Schicht in Anspar & Auszahlphase, Flexibilität Score Verfügbarkeit Kapital, Förderquoten-Vergleich Riester/Rürup/bAV, Diversifikation über Schichten (D3.js Sankey Flow), Asset Allocation Altersvorsorge, GSAP 3-Layer Animations - USE CASE: Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix",
        "overview": "entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-063",
        "title": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge",
        "prompt_number": 63,
        "prompt": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelaltersgrenze nach Geburtsjahrgang 65-67 Jahre, Früherer Rentenbeginn ab 63 mit Abschlägen 0.3% pro Monat, Rente mit 63 nach 45 Beitragsjahren ohne Abschlag, Späterer Rentenbeginn Zuschläge 0.5% pro Monat, Break-Even Analyse früh vs spät (ApexCharts Line Chart Crossover), Lebenserwartung Impact auf Break-Even, Gesundheitszustand-Faktor, Weiterarbeiten-Rentability neben Teilrente, Hinzuverdienst-Grenzen vor Regelaltersgrenze, Rentenbesteuerung unterschiedlich je Eintrittsalter, Optimaler Rentenbeginn Calculator (D3.js Decision Tree), GSAP Retirement Age Animations - USE CASE: Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit",
        "overview": "programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-064",
        "title": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal",
        "prompt_number": 64,
        "prompt": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 4% Rule Calculator Trinity Study, Variable Withdrawal Strategies Guyton-Klinger, Dynamic Spending Adjustments Market-Based, Withdrawal Rate Simulator 3%/4%/5% (ApexCharts Monte Carlo), Portfolio Longevity bis 95/100 Jahre, Sequence of Returns Risk Visualizer frühe Bear Markets (D3.js), Inflation-Adjusted Withdrawals 2-3%, Tax-Efficient Withdrawal Order Taxable/Tax-Deferred/Tax-Free, Required Minimum Distributions RMDs ab 73 Jahre, Social Security Timing Integration, Bucket Strategy Cash/Bonds/Stocks, Failure Rate Probability Portfolio Depletion, GSAP Withdrawal Animations - USE CASE: Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung",
        "overview": "baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-065",
        "title": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert",
        "prompt_number": 65,
        "prompt": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entgeltpunkte-Berechnung Brutto/Durchschnitt, Rentenwert aktuell 39.32€ (West) / 39.32€ (Ost) seit 2024, Rentenformel Entgeltpunkte × Zugangsfaktor × Rentenartfaktor × Rentenwert, Versicherungsverlauf Simulation Jahre, Durchschnittsentwicklung Gehälter, Rentenhöhe-Projektion (ApexCharts Column Chart), Rentenanpassung 1-2% jährlich, Mütterrente Kindererziehungszeiten, Erwerbsminderungsrente, Hinterbliebenenrente Witwen/Waisen, Rentenauskunft Checker, Deutsche Rentenversicherung Info-Integration, GSAP Pension Calculation Animations - USE CASE: Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt",
        "overview": "erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-066",
        "title": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit",
        "prompt_number": 66,
        "prompt": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Altersvorsorge-Produkte Matrix ETF/Riester/Rürup/bAV/private Rente/Immobilien, Rendite vs Sicherheit Scatter Plot (D3.js), Liquidität vs Rendite Trade-Off, Steuerliche Förderung Ranking, Kosten-Transparenz TER/Effektivkosten, Flexibilität Score Verfügbarkeit, Diversifikation über Produkttypen, Alters-Glide-Path 100-Alter Aktienquote, Rebalancing verschiedene Produkte, Risk-Adjusted Return Sharpe Ratio, Altersvorsorge-Empfehlung basierend auf Profil (ApexCharts Radar), GSAP Product Mix Animations - USE CASE: Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen",
        "overview": "entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-067",
        "title": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International",
        "prompt_number": 67,
        "prompt": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sozialversicherungsabkommen Deutschland mit Ländern, Rentenansprüche mehrere Länder kombinieren, EU-Koordinierung Rentenansprüche, Pension Totalization Agreements USA/Canada/Australia, Versorgungslücke bei Auslandsaufenthalten, Private International Pension Solutions, Currency Risk Renten in anderer Währung, Tax Treatment Cross-Border Pensions DBA Doppelbesteuerungsabkommen, Gesetzliche Rente Export-Fähigkeit, Expat Retirement Strategies, Ländervergleich Rentensysteme (D3.js World Map), GSAP International Pension Animations - USE CASE: Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung",
        "overview": "programmiere ein DVAG Pension-Gap-Analyzer Expatriates International",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-068",
        "title": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil",
        "prompt_number": 68,
        "prompt": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentenbesteuerung Gesetzliche Rente Besteuerungsanteil 2024: 83% steigt auf 100% bis 2040, Rentenfreibetrag einmalige Festsetzung bei Rentenbeginn, Altersentlastungsbetrag für andere Einkünfte im Alter, Grundfreibetrag 2024: 11.604€, Krankenversicherung Rentner KVdR, Pflegeversicherung Rentner, Steuerpflicht-Checker Rente über Grundfreibetrag, Private Rentenversicherung Ertragsanteilsbesteuerung je nach Rentenbeginn-Alter, Riester-Rente nachgelagerte Vollversteuerung, Rürup-Rente nachgelagerte Vollversteuerung, Nettorentenrechner nach Steuern (ApexCharts Waterfall), GSAP Tax on Pension Animations - USE CASE: Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen",
        "overview": "baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-069",
        "title": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland",
        "prompt_number": 69,
        "prompt": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundsicherung im Alter Bedarf 2024 ca. 950€/Monat, Altersarmut-Schwelle 60% Median-Einkommen, Risikogruppen Mini-Jobber/Selbständige ohne Altersvorsorge/Alleinerziehende/Langzeitarbeitslose, Erwerbsbiografie-Lücken Impact, Teilzeit-Arbeit Rentenauswirkungen, Gender Pension Gap Frauen, Scheidung Impact Versorgungsausgleich, Gesundheitskosten im Alter, Pflegekosten-Risiko, Altersarmut-Wahrscheinlichkeit Calculator (ApexCharts Gauge), Präventions-Maßnahmen Altersvorsorge aufbauen, GSAP Poverty Risk Animations - USE CASE: Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen",
        "overview": "erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-070",
        "title": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare",
        "prompt_number": 70,
        "prompt": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentensplitting unter Ehegatten, Versorgungsausgleich bei Scheidung, Partner-Rente Hinterbliebenenversorgung, Witwenrente 55%/60% der Rente des Verstorbenen, Eigene Rente angerechnet auf Witwenrente, Freibetrag Witwenrente, Große vs Kleine Witwenrente, Rentenkürzung bei Wiederheirat, Splitting vs Witwenrente Comparison (ApexCharts), Erziehungszeiten Anrechnung, Rentenoptimierung Ehepaare Einzeln vs Gesamt, Tax Optimization Ehegatten-Splitting, GSAP Couple Pension Animations - USE CASE: Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien ## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "overview": "entwickle einen DVAG Renten-Splitting-Rechner Ehepaare",
        "category": "ALTERSVORSORGE & RENTE",
        "category_number": 7,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien ## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-071",
        "title": "erstelle ein DVAG Konzern-Performance-Dashboard Executive",
        "prompt_number": 71,
        "prompt": "erstelle ein DVAG Konzern-Performance-Dashboard Executive - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Overview Umsatz/Neugeschäft/Bestand/Mitarbeiter, Regional Performance Deutschland-Karte (D3.js Geo Choropleth), Top Regions Ranking, Produktmix-Analyse Leben/BU/Fonds/Immobilien (ApexCharts Stacked Column), YoY Growth Rate Year-over-Year, Monthly Trends Charts, Berater-Produktivität Durchschnitt, Customer Acquisition Cost, Customer Lifetime Value, Churn Rate Bestandskunden, Market Share Visualizer, Strategic Goals vs Actuals (D3.js Bullet Charts), GSAP Executive Dashboard Animations - USE CASE: DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance",
        "overview": "erstelle ein DVAG Konzern-Performance-Dashboard Executive",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-072",
        "title": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen",
        "prompt_number": 72,
        "prompt": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertriebs-Organisationen Hierarchie Visualizer (D3.js Org Chart), Team-Leaderboard Top Performers, Individual Performance Scorecards, Sales Targets vs Actuals, Commission Tracking pro Berater, Activity Metrics Calls/Meetings/Proposals, Conversion Rates Funnel, Cross-Sell Ratio, Retention Rate Team, Recruiting Success neue Berater, Training Completion Rate, Performance Distribution Histogram (ApexCharts), Team Collaboration Score, GSAP Team Performance Animations - USE CASE: Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse",
        "overview": "entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-073",
        "title": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking",
        "prompt_number": 73,
        "prompt": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Neugeschäft-Volumen Daily/Weekly/Monthly (ApexCharts Real-Time Line Chart), Produktarten-Split, Durchschnittliche Vertragssumme, Anzahl Abschlüsse, Top Berater Neugeschäft, Regional Distribution Neugeschäft (D3.js Map), Neugeschäft Forecast basierend auf Pipeline, Saisonalität-Analyse Heatmap, Campaign Performance Marketing-Kampagnen, Lead-to-Close Rate, Time-to-Close Average, New Business Quality Score, GSAP New Business Animations - USE CASE: DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg",
        "overview": "programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-074",
        "title": "baue ein DVAG Bestandsgeschäft-Analyzer Retention",
        "prompt_number": 74,
        "prompt": "baue ein DVAG Bestandsgeschäft-Analyzer Retention - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestandsvolumen Total nach Produktarten, Retention Rate jährlich (ApexCharts Line Chart), Churn Rate Kündigungen, Lapse Ratio Stornoquote, Premium Persistency Beitragstreue, Policy Persistency Vertragstreue, Storno-Gründe Analyse, At-Risk Customers Identifier Kündigungsrisiko, Bestandspflege-Aktivitäten, Cross-Sell Opportunities im Bestand, Policen-Erhöhungen Dynamik, Bestandsprovisionen Forecast, GSAP Retention Animations - USE CASE: DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification",
        "overview": "baue ein DVAG Bestandsgeschäft-Analyzer Retention",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-075",
        "title": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum",
        "prompt_number": 75,
        "prompt": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Recruiting Funnel Leads/Interviews/Offers/Hires (D3.js Funnel), Conversion Rate pro Stage, Source of Hires Referrals/Events/Online/Ads, Time-to-Hire Average, Quality of Hire Metrics erste 12 Monate Performance, Retention New Hires 1-Jahres-Quote, Onboarding Completion Rate, Recruiter Productivity, Cost per Hire, Headcount Growth Netto-Wachstum (ApexCharts), Regional Recruiting Performance, Diversity Metrics, GSAP Recruiting Funnel Animations - USE CASE: DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting",
        "overview": "erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-076",
        "title": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy",
        "prompt_number": 76,
        "prompt": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Training Completion Rates alle Programme, Skill Development Tracking pre/post Tests, Certification Success Rate IHK/Sachkunde, Training ROI Performance nach Training, Course Ratings Feedback, Training Hours pro Berater, Compliance Training Mandatory, Product Knowledge Scores, Sales Skills Assessment, Soft Skills Development, Learning Path Completion (D3.js Sankey), Training Cost per Berater, GSAP Training Progress Animations - USE CASE: DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback",
        "overview": "entwickle einen DVAG Training-Effectiveness-Dashboard Academy",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-077",
        "title": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS",
        "prompt_number": 77,
        "prompt": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Net Promoter Score NPS -100 bis +100, Customer Satisfaction Score CSAT, Customer Effort Score CES, Sentiment Analysis Reviews, Complaint Rate, Resolution Time Beschwerden, Survey Response Rate, NPS Trend über Zeit (ApexCharts Line Chart), NPS by Region/Product/Berater, Promoters vs Detractors Analysis, Feedback Themes Word Cloud (D3.js), Referral Rate aus Promoters, GSAP NPS Score Animations - USE CASE: DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse",
        "overview": "programmiere ein DVAG Customer-Satisfaction-Dashboard NPS",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-078",
        "title": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring",
        "prompt_number": 78,
        "prompt": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Compliance-Rate Beratungsprotokolle 100% Ziel, Weiterbildungspflicht 15h erfüllt Berater-Quote, IHK-Zertifizierungen aktuell, Produktinformationsblätter vollständig, Datenschutz DSGVO Compliance, Geldwäsche-Prävention Schulungen, Beschwerdemanagement Response Times, Audit Findings offene vs geschlossene, Regulatory Changes Dashboard neue Gesetze (D3.js Timeline), Risk Score Compliance-Risiken (ApexCharts Gauge), Sanctions & Fines Tracking, GSAP Compliance Check Animations - USE CASE: DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation",
        "overview": "baue ein DVAG Compliance-Dashboard Regulatory Monitoring",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-079",
        "title": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio",
        "prompt_number": 79,
        "prompt": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Produktportfolio-Übersicht Leben/BU/Kranken/Fonds/Immobilien, Sales Volume pro Produkt (ApexCharts Treemap), Profitability Margin pro Produkt, Product Life Cycle Stage Introduction/Growth/Maturity/Decline, Market Share Wettbewerb, Customer Satisfaction pro Produkt, Cross-Sell Affinity Matrix (D3.js Heatmap), Product Cannibalization Analysis, Portfolio Balance Risk/Return, New Product Launch Performance, Underperforming Products Identifier, GSAP Product Performance Animations - USE CASE: DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen",
        "overview": "erstelle ein DVAG Produkt-Performance-Dashboard Portfolio",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-080",
        "title": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb",
        "prompt_number": 80,
        "prompt": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Marktanteile DVAG vs Wettbewerb Allianz/AXA/Zurich/SwissLife (ApexCharts Pie Chart), Competitive Positioning Matrix (D3.js Scatter Plot), Pricing Comparison Prämien/TER, Product Feature Comparison, Customer Acquisition Trends Markt, Digital Transformation Index Wettbewerber, Social Media Sentiment Analysis, Market Growth Rate gesamt, Regulatory Changes Impact auf Wettbewerb, Competitive Threats & Opportunities, Market Share Trends Historical (ApexCharts Area Chart), GSAP Market Intelligence Animations - USE CASE: DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren ## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE",
        "overview": "entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb",
        "category": "KONZERN-DASHBOARDS DVAG MANAGEMENT",
        "category_number": 8,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren ## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-081",
        "title": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht",
        "prompt_number": 81,
        "prompt": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Verträge Übersicht Leben/BU/Kranken/Fonds/Immobilien, Vertragsstatus Aktiv/Ruhend/Gekündigt, Prämien-Übersicht monatlich/jährlich (ApexCharts Pie Chart), Versicherungssummen Total, Ablaufleistungen Projection, Vertrags-Details pro Police, Beitragsfreistellung Option, Policen-Erhöhung Nachversicherung, Vertragsänderungen Historie, Document Download Police/Jahresinformation, Schadenfall melden, Kontakt Berater Button, GSAP Portal Dashboard Animations - USE CASE: DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen",
        "overview": "erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-082",
        "title": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service",
        "prompt_number": 82,
        "prompt": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fondspolice-Guthaben aktuell, Fonds-Allocation Pie Chart (ApexCharts), Performance Charts 1/3/5/10 Jahre (D3.js Multi-Line), Einzahlungen vs Wertsteigerung, Cost Average Effect Visualization, Fondswechsel Self-Service Umschichtung, Dynamik-Option Beitragserhöhung, Zuzahlung einmalig, Kosten-Transparenz laufende Kosten, Ablaufleistung Projection (ApexCharts Area Chart), Steuerliche Behandlung Infos, Download Jahresbescheinigung, GSAP Fondspolice Animations - USE CASE: DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich",
        "overview": "entwickle einen DVAG Fondspolice-Tracker Performance Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-083",
        "title": "programmiere ein DVAG Schadensmeldung-Portal Digital",
        "prompt_number": 83,
        "prompt": "programmiere ein DVAG Schadensmeldung-Portal Digital - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadensmeldung-Formular Step-by-Step, Schadensart Auswahl Unfall/Krankheit/Kfz/Hausrat/Rechtsschutz, Upload Fotos/Belege/Gutachten, Schadennummer Tracking, Status-Verfolgung Eingegangen/Prüfung/Gutachten/Zahlung, Kommunikation mit Sachbearbeiter Chat, Zahlungsstatus Regulierung, Schadens-Historie alle vergangenen, Rückfragen-Management, Fristen-Reminder fehlende Unterlagen, Push Notifications Status-Updates, Durchschnittliche Bearbeitungszeit Info, GSAP Schadensmeldung Animations - USE CASE: DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess",
        "overview": "programmiere ein DVAG Schadensmeldung-Portal Digital",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-084",
        "title": "baue ein DVAG Dokumenten-Center Self-Service Download",
        "prompt_number": 84,
        "prompt": "baue ein DVAG Dokumenten-Center Self-Service Download - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Dokumente Übersicht Verträge/Jahresinformationen/Steuerbescheinigungen/Leistungsübersichten, Kategorisierung nach Dokumententyp, Zeitliche Sortierung, Suchfunktion Volltext, Download PDF einzeln/gesammelt, E-Signatur Vertragsänderungen, Postbox digitale Postbox statt Brief, Archivierung 10 Jahre gesetzlich, Upload eigene Dokumente Scans, Dokumenten-Sharing mit Berater, Neue Dokumente Notifications, Papierlos-Option, GSAP Document Download Animations - USE CASE: DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich",
        "overview": "baue ein DVAG Dokumenten-Center Self-Service Download",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-085",
        "title": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service",
        "prompt_number": 85,
        "prompt": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Beitragszahlungen Übersicht alle Verträge, Zahlungsrhythmus monatlich/quartalsweise/halbjährlich/jährlich, Bankverbindung ändern SEPA-Lastschrift, Zahlungshistorie, Zahlungsausfall-Alerts, Beitragsrückstände Mahnung, Ratenzahlung Rückstände, Beitragsanpassung Dynamik stoppen/aktivieren, Zahlungsmethode ändern Lastschrift/Überweisung, Beitragsfreistellung beantragen, Beitragszahlung aussetzen temporär, Rückforderung überzahlte Beiträge, GSAP Payment Management Animations - USE CASE: DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen",
        "overview": "erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-086",
        "title": "entwickle einen DVAG Termin-Buchung-Portal Self-Service",
        "prompt_number": 86,
        "prompt": "entwickle einen DVAG Termin-Buchung-Portal Self-Service - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Berater-Kalender Verfügbarkeit, Termin-Buchung Self-Service Datum/Uhrzeit, Terminart Beratung/Jahresgespräch/Vertragsabschluss, Video-Call vs Persönlich vs Telefon, Standort-Auswahl Geschäftsstelle/Kunde, Agenda-Setting Gesprächsthemen, Erinnerung 24h/1h vor Termin, Termin verschieben/absagen Self-Service, Berater-Profil Foto/Bio, Wartezeit-Info durchschnittlich, Meeting-Link Video-Call, Termin-Historie vergangene Gespräche, GSAP Booking Animations - USE CASE: DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand",
        "overview": "entwickle einen DVAG Termin-Buchung-Portal Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-087",
        "title": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service",
        "prompt_number": 87,
        "prompt": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Adresse ändern alle Verträge auf einmal, Telefonnummer ändern, E-Mail-Adresse ändern, Familienstand ändern Heirat/Scheidung, Namensänderung nach Heirat, Kontopfändung melden, Bezugsrechtsänderung Begünstigte, Kinder hinzufügen Geburt, Kinder entfernen Volljährigkeit, Arbeitgeber-Wechsel melden, Änderungs-Historie, Bestätigung E-Mail, Automatische Aktualisierung aller Verträge, GSAP Address Change Animations - USE CASE: DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates",
        "overview": "programmiere ein DVAG Adress-Änderungs-Portal Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-088",
        "title": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service",
        "prompt_number": 88,
        "prompt": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestehende Policen Upload/Import, Bedarfsanalyse-Fragebogen Lebenssituation, Coverage Gap Analysis Unterversicherung (ApexCharts Gap Chart), Overlap Detection Doppelversicherung, Optimierungspotenzial Prämien sparen, Produktempfehlungen basierend auf Gaps, Lebensphasen-Check Anpassungsbedarf, Risiko-Score aktueller Schutz (D3.js Gauge), Vergleich zu Empfehlung Soll vs Ist, Beratungstermin vorschlagen bei Gaps, PDF-Report Police-Check Ergebnis, Jährlicher Police-Check Reminder, GSAP Policy Check Animations - USE CASE: DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check",
        "overview": "baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-089",
        "title": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service",
        "prompt_number": 89,
        "prompt": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FAQ-Kategorien Verträge/Schaden/Zahlung/Änderungen, Suchfunktion Freitext, Chatbot Mock Conversations häufige Fragen, Guided Navigation Decision Tree, Video-Tutorials How-To, Glossar Versicherungsbegriffe, Contact Escalation zu Berater bei komplexen Fragen, Kontaktformular, Telefon-Hotline Info, E-Mail Support, FAQ-Feedback hilfreich/nicht hilfreich, Popular Topics Trending, Chatbot-Analytics häufigste Fragen (ApexCharts), GSAP Chatbot Animations - USE CASE: DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot",
        "overview": "erstelle ein DVAG FAQ & Chatbot-Portal Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-090",
        "title": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service",
        "prompt_number": 90,
        "prompt": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budgetplaner Einnahmen/Ausgaben, Sparziel-Tracker Notgroschen/Urlaub/Auto, Rentenlücken-Rechner Self-Service, Immobilienfinanzierung-Rechner, Versicherungsbedarf-Calculator Leben/BU, Investment-Rechner ETF-Sparplan, Steuer-Rechner Brutto/Netto, Altersvorsorge-Planner 3 Schichten, Finanz-Ziele Priorisierung, Fortschritt-Tracking Goals, Beratungsempfehlung bei komplexen Zielen, PDF-Export Finanzplan, GSAP Financial Planning Animations - USE CASE: DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung ## Kategorie 10: TRAINING & ONBOARDING APPS",
        "overview": "entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service",
        "category": "KUNDEN-SELF-SERVICE PORTALE",
        "category_number": 9,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung ## Kategorie 10: TRAINING & ONBOARDING APPS",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-091",
        "title": "erstelle ein DVAG Onboarding-Dashboard Neue Berater",
        "prompt_number": 91,
        "prompt": "erstelle ein DVAG Onboarding-Dashboard Neue Berater - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Onboarding-Progress Timeline 90 Tage (D3.js Gantt Chart), Pflicht-Trainings Checklist Produkte/Compliance/Sales/IT, Video-Kurse Completion Rate, Quiz-Scores Wissensüberprüfung, IHK-Prüfung Vorbereitung, Sachkundeprüfung §34f GewO, Mentorship Pairing, Buddy-System Support, First Sales Milestone 5 Abschlüsse, Certifications Earned Badges (ApexCharts Progress Bars), Manager Check-Ins Termine, Feedback Surveys, GSAP Onboarding Progress Animations - USE CASE: DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation",
        "overview": "erstelle ein DVAG Onboarding-Dashboard Neue Berater",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-092",
        "title": "entwickle einen DVAG Produkt-Training-Simulator Interactive",
        "prompt_number": 92,
        "prompt": "entwickle einen DVAG Produkt-Training-Simulator Interactive - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Produkt-Katalog alle DVAG-Produkte Leben/BU/Fonds/Immobilien, Interactive Product Explorer Features/Kosten/Zielgruppe, Vergleichs-Tool Produkte Side-by-Side, Sales Pitch Templates, Objection Handling Scenarios, Competitive Comparison Wettbewerb, Tarif-Rechner Integration, Produktwissen-Quiz pro Produkt, Zertifikate pro Produktkategorie, Best Practices Success Stories, Update-Notifications neue Produkte, Learning Path Produktspezialist (D3.js), GSAP Product Training Animations - USE CASE: DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator",
        "overview": "entwickle einen DVAG Produkt-Training-Simulator Interactive",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-093",
        "title": "programmiere ein DVAG Sales-Skills-Training Rollenspiele",
        "prompt_number": 93,
        "prompt": "programmiere ein DVAG Sales-Skills-Training Rollenspiele - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sales Methodology SPIN Selling/Challenger/Solution Selling, Rollenspiel-Szenarien Erstgespräch/Einwandbehandlung/Abschluss, Video-Recording Mock Pitches, Peer Feedback, Self-Assessment Rubrics, Sales Skills Radar Chart (ApexCharts) Rapport/Discovery/Presentation/Closing, Objection Library 50+ Einwände mit Antworten, Call Script Builder, Elevator Pitch Generator, Negotiation Tactics, Closing Techniques, Practice Score Tracking (D3.js), GSAP Sales Roleplay Animations - USE CASE: DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training",
        "overview": "programmiere ein DVAG Sales-Skills-Training Rollenspiele",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-094",
        "title": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen",
        "prompt_number": 94,
        "prompt": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflichtschulungen Geldwäsche/Datenschutz/Beratungsprotokoll/Produktinformationspflicht, E-Learning Modules Video+Text+Quiz, Compliance-Quiz Bestehen 80% minimum, Zertifikate Completion, Jährliche Auffrischung 15h Pflicht, Regulatory Updates neue Gesetze, Best Practices Dos and Don'ts, Case Studies Compliance-Verstöße, Audit Preparation, Compliance Score Dashboard (ApexCharts Gauge), Non-Compliance Consequences, Refresher Training Reminder, GSAP Compliance Training Animations - USE CASE: DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen",
        "overview": "baue ein DVAG Compliance-Training-Platform Pflichtschulungen",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-095",
        "title": "erstelle ein DVAG Soft-Skills-Academy Kommunikation",
        "prompt_number": 95,
        "prompt": "erstelle ein DVAG Soft-Skills-Academy Kommunikation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kommunikations-Training Active Listening/Empathy/Questioning, Konfliktmanagement Deeskalation, Verhandlungsführung Win-Win, Präsentations-Skills, Body Language Decoder, Emotional Intelligence Assessment (ApexCharts Radar), Storytelling für Sales, Rapport Building Techniques, Trust Establishment, Customer Psychology, Cultural Sensitivity, Difficult Conversations Handling, Soft Skills Score Tracking (D3.js), Practice Exercises, GSAP Soft Skills Animations - USE CASE: DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation",
        "overview": "erstelle ein DVAG Soft-Skills-Academy Kommunikation",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-096",
        "title": "entwickle einen DVAG Digital-Tools-Training IT-Skills",
        "prompt_number": 96,
        "prompt": "entwickle einen DVAG Digital-Tools-Training IT-Skills - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: CRM-System Training DVAG-Software, Kunden-Portal Nutzung, Dokumenten-Management System, Video-Call Tools Zoom/Teams, E-Signature Plattform, Tablet-Präsentationen iPad-Apps, Social Selling LinkedIn/Xing, Digital Marketing Basics, Cybersecurity Awareness Phishing, DSGVO Digital, Productivity Tools Kalender/To-Do, IT-Support FAQ, Digital Fluency Score (ApexCharts), GSAP Digital Tools Animations - USE CASE: DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen",
        "overview": "entwickle einen DVAG Digital-Tools-Training IT-Skills",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-097",
        "title": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde",
        "prompt_number": 97,
        "prompt": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: IHK-Prüfung §34f GewO Lernmaterialien, Prüfungsinhalte Versicherungsprodukte/Recht/Steuern/Beratungspflichten, Übungsfragen 1000+ Fragen, Mock-Exams Prüfungssimulation, Zeitlimit 120 Minuten, Score Tracking Fortschritt (ApexCharts Line Chart), Schwachstellen-Analyse welche Themen üben (D3.js Heatmap), Lernplan 8 Wochen strukturiert, Video-Lektionen, Prüfungsangst-Tipps, Success Rate Statistik, Zertifikat Mock bei Bestehen, GSAP Exam Prep Animations - USE CASE: DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung",
        "overview": "programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-098",
        "title": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning",
        "prompt_number": 98,
        "prompt": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mentor-Matching Senior mit Junior Berater, Mentorship Goals Setting, Meeting-Scheduler regelmäßige Check-Ins, Knowledge Sharing Best Practices, Career Development Roadmap, Skill Gap Identification, Learning Resources Empfehlungen, Feedback 360° Mentor/Mentee, Success Stories Mentorship Impact, Mentorship Program Analytics (ApexCharts), Peer Learning Groups Studiengruppen, Community Forum Q&A, GSAP Mentorship Animations - USE CASE: DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt",
        "overview": "baue ein DVAG Berater-Mentorship-Plattform Peer Learning",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-099",
        "title": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content",
        "prompt_number": 99,
        "prompt": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Micro-Lessons 5-10 Minuten Video/Text/Quiz, Daily Learning Habit 15min täglich, Mobile-First Design Learning on the Go, Push Notifications Daily Lesson, Topics Library 500+ Lessons Produkte/Sales/Compliance/Soft Skills, Gamification Points/Badges/Leaderboard, Spaced Repetition Algorithm optimale Wiederholung, Learning Streaks Consecutive Days, Social Learning Share Progress, Completion Rate Tracking (ApexCharts), Personalized Learning Path AI-basiert, Offline Download Lessons, GSAP Micro Learning Animations - USE CASE: DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition",
        "overview": "erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "dvag-100:prompt-100",
        "title": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation",
        "prompt_number": 100,
        "prompt": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: 360° Feedback Self/Peers/Manager/Customers, Skill Assessment Radar Chart (ApexCharts) Produkte/Sales/Compliance/Soft Skills/Digital, Competency Framework DVAG-Standards, Performance Evaluation Quarterly, Development Plan basierend auf Gaps, Strength Finder Top Talents, Career Path Recommendation, Promotion Readiness Score, Skill Gap Prioritization, Training Recommendations personalisiert, Progress Tracking Over Time (D3.js Line Chart), Coaching Sessions Buchung, GSAP Assessment Animations - USE CASE: DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps ## Hinweis Quelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).",
        "overview": "entwickle einen DVAG Skill-Assessment-Center 360° Evaluation",
        "category": "TRAINING & ONBOARDING APPS",
        "category_number": 10,
        "cluster": "DVAG / Finanzberatung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "dvag",
          "finance",
          "insurance",
          "crm",
          "tax",
          "retirement"
        ],
        "use_case": "DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps ## Hinweis Quelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "library_title": "100 DVAG Komplexe HTML5 App-Prompts",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "ebooks.100:prompt-501",
        "title": "\"Die Sterbetafel\" — GENRE: Wirtschaftsthriller — ZIELGRUPPE: Erwachsene Thriller-Leser mit Finanz-/Versicherungsinteresse — KONZEPT: Eine Ak",
        "prompt_number": 501,
        "prompt": "\"Die Sterbetafel\" — GENRE: Wirtschaftsthriller — ZIELGRUPPE: Erwachsene Thriller-Leser mit Finanz-/Versicherungsinteresse — KONZEPT: Eine Aktuarin bei einer Kölner Rückversicherung entdeckt, dass firmeninterne Sterblichkeitsprognosen für einen Krankenversicherer manipuliert wurden, um Prämien hochzutreiben. Sie gerät zwischen Konzern-Compliance und einem Whistleblower-Netzwerk. — STRUKTUR: 34 Kapitel, ~85.000 Wörter, Drei-Akt-Struktur mit Cliffhanger-Kapitelenden, Epilog mit Zeitsprung 2 Jahre — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W-Innenteil, ca. 320 Seiten.",
        "overview": "\"Die Sterbetafel\" — GENRE: Wirtschaftsthriller — ZIELGRUPPE: Erwachsene Thriller-Leser mit Finanz-/Versicherungsinteresse — KONZEPT: Eine Aktuarin bei einer Kölner Rückversicherung entdeckt, dass firmeninterne Sterblichkeitsprognosen für einen Krankenversicherer manipuliert wurden, um Prämien hochzutreiben. Sie gerät zwischen Konzern-Compliance und einem Whistleblower-Netzwerk. — STRUKTUR: 34 Kapitel, ~85.000 Wörter, Drei-Akt-Struktur mit Cliffhanger-Kapitelenden, Epilog mit Zeitsprung 2 Jahre — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W-Innenteil, ca. 320 Seiten.",
        "category": "BELLETRISTIK & ROMANE",
        "category_number": 1,
        "cluster": "eBook / KDP Print-on-Demand",
        "tech_stack": [],
        "tags": [
          "prompts",
          "kdp",
          "ebook",
          "print-on-demand",
          "css",
          "book-design"
        ],
        "use_case": "",
        "source": "ebooks.100.md",
        "source_path": "ebooks.100.md",
        "library_title": "100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "ebooks.100:prompt-502",
        "title": "\"Falschgeld\" — GENRE: Historischer Roman — ZIELGRUPPE: Leser historischer Romane mit Wirtschaftsgeschichte-Interesse — KONZEPT: Berlin 1923,",
        "prompt_number": 502,
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        "prompt_number": 599,
        "prompt": "\"Kreuzworträtsel-Sammlung: Finanzbegriffe\" — GENRE: Rätselbuch (Themen-Nische) — ZIELGRUPPE: Finanzinteressierte Rätsel-Fans — KONZEPT: Themen-Kreuzworträtselheft ausschließlich mit Finanz- und Börsenbegriffen als Lösungswörter — Crossover aus Rätselbuch und Finanzbildung, passend zum bestehenden Kostolany-Publikum. — STRUKTUR: 60 Kreuzworträtsel unterschiedlicher Größe, Lösungsteil am Ende, kurzes Finanzglossar als Bonus — CSS-TEMPLATE: eigenständiges Rätselraster-Layout (CSS Grid mit nummerierten Zellen), keine Basis-Vorlage passend — KDP-FORMAT: 8,5×11in, S/W, ca. 140 Seiten.",
        "overview": "\"Kreuzworträtsel-Sammlung: Finanzbegriffe\" — GENRE: Rätselbuch (Themen-Nische) — ZIELGRUPPE: Finanzinteressierte Rätsel-Fans — KONZEPT: Themen-Kreuzworträtselheft ausschließlich mit Finanz- und Börsenbegriffen als Lösungswörter — Crossover aus Rätselbuch und Finanzbildung, passend zum bestehenden Kostolany-Publikum. — STRUKTUR: 60 Kreuzworträtsel unterschiedlicher Größe, Lösungsteil am Ende, kurzes Finanzglossar als Bonus — CSS-TEMPLATE: eigenständiges Rätselraster-Layout (CSS Grid mit nummerierten Zellen), keine Basis-Vorlage passend — KDP-FORMAT: 8,5×11in, S/W, ca. 140 Seiten.",
        "category": "NISCHEN/SPEZIAL-KDP-KONZEPTE",
        "category_number": 10,
        "cluster": "eBook / KDP Print-on-Demand",
        "tech_stack": [],
        "tags": [
          "prompts",
          "kdp",
          "ebook",
          "print-on-demand",
          "css",
          "book-design"
        ],
        "use_case": "",
        "source": "ebooks.100.md",
        "source_path": "ebooks.100.md",
        "library_title": "100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "ebooks.100:prompt-600",
        "title": "\"Der Wochenplaner für Wechselmodell-Familien\" — GENRE: Low-Content-Planer (Familien-Nische) — ZIELGRUPPE: Getrennt erziehende Eltern im Wech",
        "prompt_number": 600,
        "prompt": "\"Der Wochenplaner für Wechselmodell-Familien\" — GENRE: Low-Content-Planer (Familien-Nische) — ZIELGRUPPE: Getrennt erziehende Eltern im Wechselmodell — KONZEPT: Spezialisierter Familienplaner mit synchronisierbaren Doppelwochen-Ansichten und Übergabe-Checklisten (Schulsachen, Medikamente) pro Wechsel. — STRUKTUR: 26 Doppelwochen-Spreads (ein Jahr), Übergabe-Checkliste pro Wechsel, Kontaktdaten-Seite (Kinderarzt, Schule) am Anfang — CSS-TEMPLATE: RATGEBER-SELFHELP als Basis für Erklärseiten, Kalenderraster-Layout eigenständig (zwei synchron laufende Wochenspalten) — KDP-FORMAT: 8,5×11in, S/W, ca. 80 Seiten. === ENDE === ## Hinweis **CSS-Paginierungsgrenze (wiederholt für die Produktionspraxis):** Alle fünf CSS-Templates in Part A liefern ausschließlich Typografie, Umbrüche und die Trim-Box für `print-version.html`. Fortlaufende Seitenzahlen und wechselnde lebende Kolumnentitel — beides für ein professionelles KDP-Print-Interieur erwartet — lassen sich mit reinem CSS im aktuellen Headless-Chrome-Rendering-Schritt der Produktionspipeline **nicht** zuverlässig erzeugen. Wer diese Buchprojekte tatsächlich in den Druck bringt, muss zusätzlich entweder (a) einen Paged.js-Rendering-Schritt vor der PDF-Erzeugung einplanen, oder (b) Seitenzahlen/Kolumnentitel nachträglich in das fertige PDF einfügen. Dies betrifft alle 100 Prompts in Part B gleichermaßen und ist kein Fehler der Templates, sondern eine Werkzeuggrenze von Headless Chrome als Rendering-Engine. **Abgrenzung zu bestehenden Titeln:** Alle 100 Konzepte in diesem Batch sind neu und wurden bewusst so entwickelt, dass sie sich nicht mit bereits produzierten Titeln überschneiden — insbesondere nicht mit \"Vom Obdachlosen zum Millionär\", \"Das Geschenk der Freiheit\", der \"CODE GENITOR\"-Trilogie, \"Die Kunst der Börsenspekulation\" (Kostolany), \"The LLM Atlas 2026\" und \"Das Zeitalter der Raumfahrt\". Wo thematische Nähe besteht (z. B. #533 zu \"LLM Atlas 2026\", #548 zu \"Das Zeitalter der Raumfahrt\", #568/#583/#588/#599 zum Kostolany-Themenfeld, #561/#566 zum \"Vom Obdachlosen zum Millionär\"-Themenfeld), wurde der jeweilige Prompt explizit auf einen eigenständigen Blickwinkel, eine andere Zielgruppe oder ein anderes Format zugeschnitten, um Doppelproduktion zu vermeiden.",
        "overview": "\"Der Wochenplaner für Wechselmodell-Familien\" — GENRE: Low-Content-Planer (Familien-Nische) — ZIELGRUPPE: Getrennt erziehende Eltern im Wechselmodell — KONZEPT: Spezialisierter Familienplaner mit synchronisierbaren Doppelwochen-Ansichten und Übergabe-Checklisten (Schulsachen, Medikamente) pro Wechsel. — STRUKTUR: 26 Doppelwochen-Spreads (ein Jahr), Übergabe-Checkliste pro Wechsel, Kontaktdaten-Seite (Kinderarzt, Schule) am Anfang — CSS-TEMPLATE: RATGEBER-SELFHELP als Basis für Erklärseiten, Kalenderraster-Layout eigenständig (zwei synchron laufende Wochenspalten) — KDP-FORMAT: 8,5×11in, S/W, ca. 80 Seiten. === ENDE === ## Hinweis **CSS-Paginierungsgrenze (wiederholt für die Produktionspraxis):** Alle fünf CSS-Templates in Part A liefern ausschließlich Typografie, Umbrüche und die Trim-Box für `print-version.html`. Fortlaufende Seitenzahlen und wechselnde lebende Kolumnentitel — beides für ein professionelles KDP-Print-Interieur erwartet — lassen sich mit reinem CSS im aktuellen Headless-Chrome-Rendering-Schritt der Produktionspipeline **nicht** zuverlässig erzeugen. Wer diese Buchprojekte tatsächlich in den Druck bringt, muss zusätzlich entweder (a) einen Paged.js-Rendering-Schritt vor der PDF-Erzeugung einplanen, oder (b) Seitenzahlen/Kolumnentitel nachträglich in das fertige PDF einfügen. Dies betrifft alle 100 Prompts in Part B gleichermaßen und ist kein Fehler der Templates, sondern eine Werkzeuggrenze von Headless Chrome als Rendering-Engine. **Abgrenzung zu bestehenden Titeln:** Alle 100 Konzepte in diesem Batch sind neu und wurden bewusst so entwickelt, dass sie sich nicht mit bereits produzierten Titeln überschneiden — insbesondere nicht mit \"Vom Obdachlosen zum Millionär\", \"Das Geschenk der Freiheit\", der \"CODE GENITOR\"-Trilogie, \"Die Kunst der Börsenspekulation\" (Kostolany), \"The LLM Atlas 2026\" und \"Das Zeitalter der Raumfahrt\". Wo thematische Nähe besteht (z. B. #533 zu \"LLM Atlas 2026\", #548 zu \"Das Zeitalter der Raumfahrt\", #568/#583/#588/#599 zum Kostolany-Themenfeld, #561/#566 zum \"Vom Obdachlosen zum Millionär\"-Themenfeld), wurde der jeweilige Prompt explizit auf einen eigenständigen Blickwinkel, eine andere Zielgruppe oder ein anderes Format zugeschnitten, um Doppelproduktion zu vermeiden.",
        "category": "NISCHEN/SPEZIAL-KDP-KONZEPTE",
        "category_number": 10,
        "cluster": "eBook / KDP Print-on-Demand",
        "tech_stack": [],
        "tags": [
          "prompts",
          "kdp",
          "ebook",
          "print-on-demand",
          "css",
          "book-design"
        ],
        "use_case": "",
        "source": "ebooks.100.md",
        "source_path": "ebooks.100.md",
        "library_title": "100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-301",
        "title": "erstelle eine interaktive Rosenkranz-App mit allen vier Gesätzen",
        "prompt_number": 301,
        "prompt": "erstelle eine interaktive Rosenkranz-App mit allen vier Gesätzen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Freudenreiche/Schmerzhafte/Glorreiche/Lichtreiche Geheimnisse mit automatischer Wochentags-Zuordnung nach traditionellem Kalender, Perlen-Zähler-Visualisierung mit Fortschrittsanzeige pro Gesätz, vollständige Gebetstexte Vaterunser/Ave Maria/Gloria Patri einblendbar, Meditations-Impuls pro Geheimnis mit Bibelstellen-Bezug, Audio-Vorlese-Mockup-Steuerung mit Geschwindigkeitsregler, Tages-Streak-Tracker für tägliches Beten (ApexCharts Kalender-Heatmap), Fatima-Zusatzgebet nach jedem Gesätz einblendbar, Rosenkranz-Historie mit Datum und gebeteten Geheimnissen, Mehrsprachigkeit Latein/Deutsch umschaltbar, Vollbild-Andachts-Modus ohne Ablenkung, Vibrations-/Ton-Feedback pro abgeschlossenem Gesätz, GSAP Perlen-Übergangs-Animationen - USE CASE: Gläubige beten den Rosenkranz strukturiert auch unterwegs ohne physische Kette, Katechese-Gruppen nutzen die App zur Einführung von Kindern und Neubekehrten in die traditionelle Gebetsform.",
        "overview": "erstelle eine interaktive Rosenkranz-App mit allen vier Gesätzen",
        "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige beten den Rosenkranz strukturiert auch unterwegs ohne physische Kette, Katechese-Gruppen nutzen die App zur Einführung von Kindern und Neubekehrten in die traditionelle Gebetsform.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-302",
        "title": "entwickle eine Angelus-Glocken-App mit Regina-Caeli-Umschaltung",
        "prompt_number": 302,
        "prompt": "entwickle eine Angelus-Glocken-App mit Regina-Caeli-Umschaltung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Automatische Erinnerung um 6/12/18 Uhr nach traditioneller Angelus-Zeit, vollständiger Angelus-Text mit dreifachem Ave Maria, automatische Umschaltung auf Regina Caeli während der Osterzeit von Ostern bis Pfingsten, Glockenschlag-Simulation dreimal drei Schläge plus neun, Kniebeuge-Erinnerung zur Inkarnations-Verse, persönliche Gebets-Statistik verpasste/gebetete Angelus (ApexCharts Balken), Angelus-Herkunfts-Erklärung historischer Hintergrund seit 14. Jahrhundert, Zeitzonen-Anpassung für Reisende, Stiller-Modus für Andachts-Räume, Wochenübersicht Gebetsdisziplin, Export Gebets-Historie, GSAP Glocken-Läute-Animationen - USE CASE: Gläubige halten die traditionelle dreimalige Tagesheiligung auch im hektischen Alltag ein, Ordensgemeinschaften und Gebetsgruppen synchronisieren ihre Angelus-Zeiten über die App.",
        "overview": "entwickle eine Angelus-Glocken-App mit Regina-Caeli-Umschaltung",
        "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige halten die traditionelle dreimalige Tagesheiligung auch im hektischen Alltag ein, Ordensgemeinschaften und Gebetsgruppen synchronisieren ihre Angelus-Zeiten über die App.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-303",
        "title": "programmiere eine Kreuzweg-Andachts-App mit 14 Stationen",
        "prompt_number": 303,
        "prompt": "programmiere eine Kreuzweg-Andachts-App mit 14 Stationen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle 14 klassischen Stationen von Verurteilung bis Grablegung mit Bildplatzhalter pro Station, franziskanische Meditationstexte pro Station einblendbar, Fortschritts-Leiste durch die Stationen mit Zeitschätzung, alternative 15. Station Auferstehung optional zuschaltbar, Fastenzeit-Modus mit täglicher Erinnerung besonders freitags, Gemeinschafts-Modus für gemeinsames Beten in der Kirche mit Vorbeter-Text, Gesätz-übergreifende Stille-Minuten-Timer pro Station, historische Herkunfts-Erklärung der Kreuzweg-Tradition seit den Franziskanern im Heiligen Land, persönliches Andachts-Tagebuch pro durchlaufenem Kreuzweg, Sprachumschaltung Latein/Deutsch für die Stationstitel, Offline-Verfügbarkeit für Kirchenräume ohne Netz, GSAP Stations-Übergangs-Animationen mit Kreuz-Motiv - USE CASE: Gläubige beten den Kreuzweg besonders in der Fastenzeit strukturiert nach, Pfarreien nutzen die App als Vorlage für gemeinschaftliche Karfreitags-Andachten in der Kirche.",
        "overview": "programmiere eine Kreuzweg-Andachts-App mit 14 Stationen",
        "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige beten den Kreuzweg besonders in der Fastenzeit strukturiert nach, Pfarreien nutzen die App als Vorlage für gemeinschaftliche Karfreitags-Andachten in der Kirche.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-304",
        "title": "baue ein Ignatianisches Gewissenserforschungs-Tool nach dem Examen",
        "prompt_number": 304,
        "prompt": "baue ein Ignatianisches Gewissenserforschungs-Tool nach dem Examen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fünf klassische Examen-Schritte Dankbarkeit/Bitte-um-Licht/Rückblick/Reue/Vorsatz geführt nacheinander, Tages-Rückblick-Journal mit Freitext pro Schritt, Tugend-und-Laster-Checkliste nach den sieben Hauptsünden strukturiert, wöchentliche Muster-Erkennung wiederkehrender Fehltritte (D3.js Häufigkeitsdiagramm), Beichtvorbereitungs-Export als druckbare Zusammenfassung, Ignatius-Zitate-Rotation zur Einstimmung, Stimmungs-Tracker vor und nach dem Examen, Erinnerungs-Funktion abends und mittags nach ignatianischer Tradition zweimal täglich, Vertraulichkeits-Hinweis alle Daten bleiben lokal, Fortschritts-Statistik regelmäßige Praxis über Wochen (ApexCharts Kalender-Heatmap), Anpassbare Gebetsformeln zu Beginn und Ende, GSAP Schritt-Übergangs-Animationen - USE CASE: Exerzitien-Teilnehmer üben die tägliche Gewissenserforschung nach ignatianischer Methode strukturiert ein, Beichtvorbereitung wird durch die gesammelten Muster über mehrere Wochen erleichtert.",
        "overview": "baue ein Ignatianisches Gewissenserforschungs-Tool nach dem Examen",
        "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Exerzitien-Teilnehmer üben die tägliche Gewissenserforschung nach ignatianischer Methode strukturiert ein, Beichtvorbereitung wird durch die gesammelten Muster über mehrere Wochen erleichtert.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-305",
        "title": "erstelle ein Gebetsanliegen-Tagebuch mit Erhörungs-Tracking",
        "prompt_number": 305,
        "prompt": "erstelle ein Gebetsanliegen-Tagebuch mit Erhörungs-Tracking - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Anliegen-Erfassung mit Kategorien Familie/Gesundheit/Beruf/Kirche/Verstorbene, Fürbitten-für-andere-Sektion getrennt von eigenen Anliegen, Status-Tracking Offen/Erhört/Anders-als-erwartet mit Datum, Dankgebets-Erinnerung bei markierter Erhörung, Verknüpfung mit passenden Fürsprechern Heilige nach Zuständigkeit, Wiederkehrende-Anliegen-Funktion für Dauergebete, Gebetsketten-Organisation mehrere Personen beten für dasselbe Anliegen, Anonymitäts-Option für sensible Anliegen, Jahresrückblick gebetete und erhörte Anliegen (ApexCharts Donut), Export als PDF für Gebetsgruppen, Verstorbenen-Gedenkliste mit Jahrestagen, GSAP Karten-Einblend-Animationen beim Hinzufügen - USE CASE: Gläubige halten ihre Fürbitten strukturiert fest statt sie zu vergessen, Gebetsgruppen und Pfarreien koordinieren gemeinsame Anliegenlisten über längere Zeiträume nachvollziehbar.",
        "overview": "erstelle ein Gebetsanliegen-Tagebuch mit Erhörungs-Tracking",
        "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige halten ihre Fürbitten strukturiert fest statt sie zu vergessen, Gebetsgruppen und Pfarreien koordinieren gemeinsame Anliegenlisten über längere Zeiträume nachvollziehbar.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-306",
        "title": "entwickle einen Novenen-Tracker für 9-tägige Andachten",
        "prompt_number": 306,
        "prompt": "entwickle einen Novenen-Tracker für 9-tägige Andachten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Novenen-Bibliothek zu verschiedenen Anlässen Heiliger-Geist-Novene vor Pfingsten/Herz-Jesu-Novene/Novene zur Gottesmutter, täglicher Fortschrittsbalken über die neun Tage, vollständiger Gebetstext pro Tag mit thematischem Tagesimpuls, Erinnerungs-Benachrichtigung zur gewählten Uhrzeit, Start-Datum-Rückrechnung bei Zielfest zum Beispiel Pfingsten, persönliche Notizen pro Novenen-Tag, Novenen-Historie abgeschlossene Andachten im Überblick (ApexCharts Zeitleiste), Unterbrechungs-Handling Nachholen bei verpasstem Tag, Gemeinschafts-Novene-Modus mehrere Personen zählen mit, eigene Novene erstellen mit individuellen Texten, Abschluss-Zeremonie-Bildschirm nach Tag neun, GSAP Tages-Freischalt-Animationen - USE CASE: Gläubige bereiten sich strukturiert auf große Feste wie Pfingsten oder Mariä Himmelfahrt mit einer Novene vor, Gebetsgemeinschaften synchronisieren gemeinsame neuntägige Andachten trotz räumlicher Trennung.",
        "overview": "entwickle einen Novenen-Tracker für 9-tägige Andachten",
        "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige bereiten sich strukturiert auf große Feste wie Pfingsten oder Mariä Himmelfahrt mit einer Novene vor, Gebetsgemeinschaften synchronisieren gemeinsame neuntägige Andachten trotz räumlicher Trennung.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-307",
        "title": "programmiere einen Stundengebet-Begleiter nach dem Vier-Wochen-Psalter",
        "prompt_number": 307,
        "prompt": "programmiere einen Stundengebet-Begleiter nach dem Vier-Wochen-Psalter - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Gebetszeiten Laudes/Terz/Sext/Non/Vesper/Komplet mit korrektem Tagesablauf, automatische Zuordnung zum Vier-Wochen-Psalter-Zyklus nach liturgischem Kalender, Tages-Hymnus und Psalmen mit Antiphonen passend zur Kirchenjahreszeit, Kurzlesung und Fürbitten pro Gebetszeit, Erinnerungs-Benachrichtigungen zu den klassischen Gebetszeiten, Fortschritts-Tracking regelmäßig gebetete Horen (ApexCharts Kalender-Heatmap), Sonn-und-Feiertags-Sonderpsalmen automatisch eingeblendet, Laien-vereinfachte-Kurzform als Alternative zum vollen Brevier, Lesezeichen letzte gebetete Hore, Gemeinschafts-Chor-Modus für gemeinsames Beten mit Vorsänger-Kennzeichnung, Offline-Psalter-Datenbank vollständig lokal, GSAP Horen-Wechsel-Animationen - USE CASE: Priester, Ordensleute und Laien beten das Stundengebet auch unterwegs korrekt nach dem aktuellen liturgischen Tag, Neueinsteiger lernen die Struktur des Breviers über die vereinfachte Kurzform kennen.",
        "overview": "programmiere einen Stundengebet-Begleiter nach dem Vier-Wochen-Psalter",
        "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Priester, Ordensleute und Laien beten das Stundengebet auch unterwegs korrekt nach dem aktuellen liturgischen Tag, Neueinsteiger lernen die Struktur des Breviers über die vereinfachte Kurzform kennen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-308",
        "title": "baue eine Herz-Jesu-Ersttage-Andacht mit den Zwölf Verheißungen",
        "prompt_number": 308,
        "prompt": "baue eine Herz-Jesu-Ersttage-Andacht mit den Zwölf Verheißungen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erste-Freitag-Tracker über neun aufeinanderfolgende Monate nach der Margareta-Maria-Alacoque-Tradition, vollständiger Text der Zwölf Verheißungen des Herzens Jesu mit Erläuterung, Erinnerungs-Benachrichtigung am ersten Freitag jeden Monats, Sühnegebet und Herz-Jesu-Litanei vollständig hinterlegt, Fortschritts-Visualisierung erfüllte Monate von neun (ApexCharts Radial), Beichte-und-Kommunion-Checkliste als Voraussetzung der Andacht, historische Einführung Vision von Paray-le-Monial 1673, Herz-Jesu-Fest-Countdown Freitag nach Fronleichnam, persönliches Andachts-Tagebuch pro Monat, Unterbrechungs-Warnung bei verpasstem Erstfreitag mit Neustart-Option, Erinnerung an Herz-Mariä-Sühnesamstage als Ergänzung, GSAP Herz-Symbol-Puls-Animationen - USE CASE: Gläubige praktizieren die traditionelle Neun-Erstfreitage-Andacht diszipliniert über neun Monate hinweg, die App dokumentiert den Fortschritt als Gedächtnisstütze bei einer Andacht die leicht durch einen verpassten Monat unterbrochen wird.",
        "overview": "baue eine Herz-Jesu-Ersttage-Andacht mit den Zwölf Verheißungen",
        "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige praktizieren die traditionelle Neun-Erstfreitage-Andacht diszipliniert über neun Monate hinweg, die App dokumentiert den Fortschritt als Gedächtnisstütze bei einer Andacht die leicht durch einen verpassten Monat unterbrochen wird.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-309",
        "title": "erstelle einen Maiandacht- und Rosenkranzmonat-Begleiter",
        "prompt_number": 309,
        "prompt": "erstelle einen Maiandacht- und Rosenkranzmonat-Begleiter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zwei Marienmonate Mai und Oktober mit jeweils eigenem Tagesimpuls-Kalender, Lauretanische Litanei vollständig mit allen Anrufungen, tägliche Marienandacht-Vorlage mit wechselnden Bibelstellen, Marienlieder-Sammlung mit Textanzeige nach Jahreszeit, historische Einführung Ursprung der Maiandacht im 19. Jahrhundert, Blumenschmuck-Symbolik-Erklärung zur Marienstatue, Gemeinschafts-Andachts-Modus für Pfarrgruppen mit Vorbeter-Rolle, Fortschritts-Tracker durchlaufene Andachtstage pro Monat (ApexCharts Kalender-Heatmap), Marienfeste-Übersicht innerhalb des Monats Mariä Heimsuchung/Rosenkranzfest, persönliche Gebetsanliegen-Verknüpfung an Maria, Vorlagen für Kinder-Maiandachten vereinfachte Sprache, GSAP Blüten-Einblend-Animationen - USE CASE: Pfarreien und Familien gestalten die traditionellen Marienmonate Mai und Oktober strukturiert mit täglich wechselnden Impulsen, Katecheten nutzen die kindgerechten Vorlagen für Maiandachten mit Erstkommunionkindern.",
        "overview": "erstelle einen Maiandacht- und Rosenkranzmonat-Begleiter",
        "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien und Familien gestalten die traditionellen Marienmonate Mai und Oktober strukturiert mit täglich wechselnden Impulsen, Katecheten nutzen die kindgerechten Vorlagen für Maiandachten mit Erstkommunionkindern.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-310",
        "title": "entwickle einen Timer für eucharistische Anbetung mit Taizé-Gesängen",
        "prompt_number": 310,
        "prompt": "entwickle einen Timer für eucharistische Anbetung mit Taizé-Gesängen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Anbetungsstunden-Timer mit sanfter Erinnerungsglocke nach ignatianischer Stille-Tradition, Taizé-Gesangstexte-Sammlung mit Wiederholungs-Struktur für meditatives Singen, stille-Anbetung-Modus ohne visuelle Ablenkung nur Kerzen-Animation, Anbetungsplan-Koordination für Gemeinden mit Zeitfenster-Anmeldung Ewige Anbetung, Schriftlesungs-Vorschläge zur Betrachtung während der Anbetung, persönliche Anbetungs-Historie über Wochen und Monate (ApexCharts Balken), Tabernakel-Symbolik-Erklärung für Erstteilnehmer, Anbetungs-Gebete Tantum Ergo und O Salutaris Hostia vollständig hinterlegt, Erinnerungs-Funktion für zugewiesene Wochenstunde, Vertretungs-Anfrage-Funktion bei Verhinderung, Gemeinschaftsübersicht wer betet wann Transparenz für Koordinatoren, GSAP Kerzenflammen-Animationen - USE CASE: Pfarreien mit Ewiger Anbetung organisieren die Stundenbesetzung zuverlässig und lückenlos, einzelne Gläubige vertiefen die eigene Anbetungszeit durch begleitende Taizé-Gesänge und Lesungsvorschläge. ## Kategorie 2: LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "overview": "entwickle einen Timer für eucharistische Anbetung mit Taizé-Gesängen",
        "category": "GEBETS-APPS & ANDACHTEN (10 Prompts)",
        "category_number": 1,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien mit Ewiger Anbetung organisieren die Stundenbesetzung zuverlässig und lückenlos, einzelne Gläubige vertiefen die eigene Anbetungszeit durch begleitende Taizé-Gesänge und Lesungsvorschläge. ## Kategorie 2: LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-311",
        "title": "erstelle ein Vergleichstool Tridentinische Messe versus Novus Ordo",
        "prompt_number": 311,
        "prompt": "erstelle ein Vergleichstool Tridentinische Messe versus Novus Ordo - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Side-by-Side-Ablaufvergleich beider Formen des Römischen Ritus von Stufengebet bis Schlusssegen, Unterschied Ad-Orientem versus Versus-Populum mit Erklärung, Confiteor-Vergleich einmal versus zweimal je nach Form, Kanon-Text-Gegenüberstellung Römischer Kanon in beiden Formen, Kirchenlatein-Original neben deutscher Übersetzung, historische Einordnung Missale von 1962 versus Missale von 1970 nach Summorum Pontificum, liturgische Gesten-Vergleichstabelle Kniebeugen und Verneigungen, Ministranten-Rollen-Unterschiede pro Form, Audioaussprache-Hinweise für lateinische Passagen, Glossar Fachbegriffe Orate-Fratres/Sanctus/Agnus-Dei verlinkt, persönlicher Notizbereich für liturgische Beobachtungen, GSAP Abschnitts-Vergleichs-Animationen - USE CASE: Gläubige die zwischen beiden Formen wechseln verstehen die strukturellen Unterschiede fundiert statt verunsichert zu sein, Katecheten erklären Interessierten die Kontinuität des Römischen Ritus anhand des direkten Vergleichs sachlich und ohne die eine Form gegen die andere auszuspielen.",
        "overview": "erstelle ein Vergleichstool Tridentinische Messe versus Novus Ordo",
        "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "category_number": 2,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige die zwischen beiden Formen wechseln verstehen die strukturellen Unterschiede fundiert statt verunsichert zu sein, Katecheten erklären Interessierten die Kontinuität des Römischen Ritus anhand des direkten Vergleichs sachlich und ohne die eine Form gegen die andere auszuspielen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-312",
        "title": "entwickle einen liturgischen Kalender mit beweglichen Festen",
        "prompt_number": 312,
        "prompt": "entwickle einen liturgischen Kalender mit beweglichen Festen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständiges Kirchenjahr Advent bis Christkönigssonntag mit korrekter Festrangordnung Hochfest/Fest/Gedenktag, automatische Osterdatum-Berechnung nach dem gregorianischen Computus mit Erklärung der Berechnung, bewegliche Feste automatisch abgeleitet Aschermittwoch/Christi-Himmelfahrt/Pfingsten/Fronleichnam, Lesejahr-Anzeige A/B/C und Wochentagslesejahr I/II, liturgische Farbe des Tages automatisch angezeigt, Eigenfeste-Verwaltung für Diözesan- und Ordenskalender zusätzlich zum Generalkalender, Countdown zu wichtigen Festen mit Vorbereitungshinweisen, Vergleich Julianischer versus Gregorianischer Festkalender für ostkirchlichen Kontext, Export als druckbarer Jahreskalender PDF, Suchfunktion nach bestimmten Heiligenfesten, Erinnerungs-Benachrichtigung Vortag wichtiger Feste, GSAP Kalenderblatt-Wechsel-Animationen - USE CASE: Pfarreien planen Gottesdienste und Predigten mit korrekter liturgischer Festrangordnung, Gläubige verstehen die Berechnung des beweglichen Osterfestes anhand der nachvollziehbaren Computus-Erklärung.",
        "overview": "entwickle einen liturgischen Kalender mit beweglichen Festen",
        "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "category_number": 2,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien planen Gottesdienste und Predigten mit korrekter liturgischer Festrangordnung, Gläubige verstehen die Berechnung des beweglichen Osterfestes anhand der nachvollziehbaren Computus-Erklärung.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-313",
        "title": "programmiere einen Paramentenfarben-Tagestracker",
        "prompt_number": 313,
        "prompt": "programmiere einen Paramentenfarben-Tagestracker - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle liturgische Farbe automatisch aus Kirchenjahr abgeleitet Grün-Violett-Weiß-Rot-Rosa, Bedeutungs-Erklärung pro Farbe Buße/Freude/Martyrium/Auferstehung, Rosa-Sonntage-Sonderfall Gaudete und Laetare mit historischer Erläuterung, Schwarz-Option für Requiem-Messen mit heutiger Gebräuchlichkeits-Einordnung, Jahresübersicht Farbverteilung über das Kirchenjahr (ApexCharts Donut), Sakristei-Checkliste welche Paramente für welchen Sonntag vorzubereiten sind, Ausnahme-Regeln Marienfeste in der Fastenzeit mit weißer statt violetter Farbe, Bildergalerie-Platzhalter typischer Paramente-Sets pro Farbe, Diözesan-Sonderregelungen-Feld für lokale Bräuche, Erinnerungs-Funktion für Sakristane am Vorabend, Regionale-Varianten-Hinweis zwischen Ritus-Familien, GSAP Farbwechsel-Animationen - USE CASE: Sakristane und Messdiener bereiten die korrekten Paramente ohne Nachschlagen im Direktorium vor, Katecheten erklären Erstkommunionkindern die Symbolik der liturgischen Farben anschaulich.",
        "overview": "programmiere einen Paramentenfarben-Tagestracker",
        "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "category_number": 2,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Sakristane und Messdiener bereiten die korrekten Paramente ohne Nachschlagen im Direktorium vor, Katecheten erklären Erstkommunionkindern die Symbolik der liturgischen Farben anschaulich.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-314",
        "title": "baue einen Ritenvergleich-Explorer der katholischen Kirchen sui iuris",
        "prompt_number": 314,
        "prompt": "baue einen Ritenvergleich-Explorer der katholischen Kirchen sui iuris - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fünf große Ritenfamilien Römisch/Byzantinisch/Armenisch/Syrisch/Koptisch mit Grundstruktur-Vergleich der jeweiligen Messfeier, Ikonostase-Erklärung für den byzantinischen Ritus mit Bildschema, Epiklese-Positions-Vergleich zwischen den Riten, Sprachen-Übersicht Kirchenslawisch/Klassisches-Armenisch/Syrisch/Koptisch neben der jeweiligen Landessprache, geografische Verbreitungskarte-Mockup der jeweiligen Kirche sui iuris, Kalender-Unterschiede Julianisch versus Gregorianisch je nach Kirche, Gewänder-Vergleichstabelle pro Ritus, historische Herkunfts-Erklärung gemeinsame Einheit mit Rom bei eigener liturgischer Tradition, Gesang-Charakteristika pro Ritus Byzantinischer-Oktoechos/Gregorianik, Fastenregeln-Vergleich zwischen den Riten, Glossar ritenspezifischer Fachbegriffe, GSAP Riten-Wechsel-Übergangs-Animationen - USE CASE: Studierende der Liturgiewissenschaft verschaffen sich einen fundierten Überblick über die Vielfalt der mit Rom unierten Ostkirchen, Gläubige lateinischen Ritus verstehen respektvoll die eigenständige liturgische Tradition ihrer Glaubensgeschwister anderer Kirchen sui iuris.",
        "overview": "baue einen Ritenvergleich-Explorer der katholischen Kirchen sui iuris",
        "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "category_number": 2,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Studierende der Liturgiewissenschaft verschaffen sich einen fundierten Überblick über die Vielfalt der mit Rom unierten Ostkirchen, Gläubige lateinischen Ritus verstehen respektvoll die eigenständige liturgische Tradition ihrer Glaubensgeschwister anderer Kirchen sui iuris.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-315",
        "title": "erstelle eine Ministranten-Ausbildungs-App mit Prüfungs-Modus",
        "prompt_number": 315,
        "prompt": "erstelle eine Ministranten-Ausbildungs-App mit Prüfungs-Modus - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Lernpfad vom Kerzenträger bis zum Leuchterdienst mit steigendem Schwierigkeitsgrad, interaktive Ablauf-Simulation der heiligen Messe mit korrekten Einsatzpunkten pro Dienst, Antworten-Trainer lateinische und deutsche Messantworten mit Aussprache-Hinweis, Thurifer-Sonderausbildung Weihrauchfass-Handhabung mit Schritt-für-Schritt-Anleitung, Gewänder-Kunde Talar/Rochett/Zingulum mit Bildzuordnung, Quiz-Modus vor der Ministranten-Aufnahme mit Zertifikat, Übungs-Checkliste für den ersten eigenständigen Dienst, Kalender-Integration eigene Dienstplan-Termine, Fortschritts-Abzeichen-System nach Dienstgraden (ApexCharts Radial), Häufige-Fehler-Galerie mit Korrektur-Hinweis, Video-Platzhalter für Bewegungsabläufe, GSAP Ablauf-Simulations-Animationen - USE CASE: Pfarreien schulen neue Ministranten strukturiert und einheitlich statt durch reine Einweisung vor Ort, Jugendliche bereiten sich eigenständig auf Prüfungen vor besonderen Diensten wie dem Thuriferar vor.",
        "overview": "erstelle eine Ministranten-Ausbildungs-App mit Prüfungs-Modus",
        "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "category_number": 2,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien schulen neue Ministranten strukturiert und einheitlich statt durch reine Einweisung vor Ort, Jugendliche bereiten sich eigenständig auf Prüfungen vor besonderen Diensten wie dem Thuriferar vor.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-316",
        "title": "entwickle eine Predigtnotizen-App für Priester und Diakone",
        "prompt_number": 316,
        "prompt": "entwickle eine Predigtnotizen-App für Priester und Diakone - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Predigtentwurf-Editor verknüpft mit der Perikope des jeweiligen Sonntags, Lesejahr-automatische-Vorbelegung der Tageslesungen, Predigtarchiv durchsuchbar nach Sonntag und Thema über mehrere Jahre, Wiederverwendungs-Hinweis frühere Predigt zu identischer Perikope im Vorjahreslesezyklus, Zitat- und Anekdoten-Sammlung thematisch kategorisiert, Predigtlänge-Timer zur Übungs-Vorbereitung, Kirchenväter-Kommentar-Verknüpfung zur jeweiligen Schriftstelle, persönliche Feedback-Notizen nach gehaltener Predigt, Themen-Häufigkeits-Analyse über die eigene Predigt-Historie (D3.js Wortwolke), Vorbereitungs-Checkliste Exegese/Auslegung/Lebensbezug/Gebet, Export als Manuskript zum Ausdrucken für den Ambo, GSAP Entwurfs-Editor-Animationen - USE CASE: Priester bereiten Predigten systematisch mit Zugriff auf das eigene Archiv vergangener Jahre vor, Diakone in Ausbildung dokumentieren ihre Predigtentwicklung nachvollziehbar für die geistliche Begleitung.",
        "overview": "entwickle eine Predigtnotizen-App für Priester und Diakone",
        "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "category_number": 2,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Priester bereiten Predigten systematisch mit Zugriff auf das eigene Archiv vergangener Jahre vor, Diakone in Ausbildung dokumentieren ihre Predigtentwicklung nachvollziehbar für die geistliche Begleitung.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-317",
        "title": "programmiere einen Karwoche-und-Triduum-Planer für Pfarreien",
        "prompt_number": 317,
        "prompt": "programmiere einen Karwoche-und-Triduum-Planer für Pfarreien - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiger Ablaufplan Palmsonntag bis Ostervigil mit allen liturgischen Sonderelementen, Palmsonntags-Prozessions-Checkliste mit Passionslesung-Rollenverteilung, Gründonnerstag-Fußwaschung-Organisationstool mit Teilnehmerliste, Karfreitags-Kreuzverehrung-Ablaufplan mit den Großen Fürbitten vollständig, Ostervigil-Neun-Lesungen-Planer mit Kürzungs-Optionen je nach Pfarrpraxis, Osterkerzen-Weihe-Ablauf mit Text der Exsultet-Vorbereitung, Ministranten-und-Lektoren-Einsatzplan über alle Triduum-Tage hinweg, Kirchenschmuck-Checkliste Entblößung des Altars Gründonnerstag bis Auferstehungsschmuck, Zeitplan-Koordination bei mehreren Kirchen einer Pfarreiengemeinschaft, historische Erklärung der Bedeutung jedes Triduum-Tages, Erinnerungs-Funktion für alle Mitwirkenden, GSAP Tages-Übergangs-Animationen - USE CASE: Pfarrbüros koordinieren die aufwendige Liturgie der Kar- und Ostertage mit vielen Mitwirkenden fehlerfrei, neue Pfarrer oder Kapläne verschaffen sich schnell Überblick über bewährte lokale Abläufe des Triduums.",
        "overview": "programmiere einen Karwoche-und-Triduum-Planer für Pfarreien",
        "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "category_number": 2,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarrbüros koordinieren die aufwendige Liturgie der Kar- und Ostertage mit vielen Mitwirkenden fehlerfrei, neue Pfarrer oder Kapläne verschaffen sich schnell Überblick über bewährte lokale Abläufe des Triduums.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-318",
        "title": "baue ein Perikopenordnung-Tool für die Lesejahre A B und C",
        "prompt_number": 318,
        "prompt": "baue ein Perikopenordnung-Tool für die Lesejahre A B und C - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständige Sonntagslesungen-Datenbank für alle drei Lesejahre mit Evangelien-Schwerpunkt Matthäus/Markus/Lukas, Werktagslesejahr I und II parallel abrufbar, automatische Berechnung welches Lesejahr im aktuellen Kirchenjahr gilt, Perikopen-Suchfunktion nach Bibelstelle rückwärts zum Sonntag, thematische Verknüpfung zwischen den drei Lesungen eines Sonntags Altes-Testament-Psalm-Evangelium, Vorschau kommender Sonntage für die Predigtvorbereitung, Vergleichsansicht gleicher Sonntag über die drei Lesejahre, Häufigkeits-Statistik welche biblischen Bücher wie oft vorkommen (ApexCharts Balken), Notizfeld pro Perikope für persönliche Auslegungsgedanken, Export Leseplan als PDF für den Ambo, Eigenfeste-Sonderlesungen-Ergänzung, GSAP Lesejahr-Wechsel-Animationen - USE CASE: Lektoren und Priester bereiten sich mit korrekt zugeordneten Lesungen für das jeweils aktuelle Lesejahr vor, Bibelkreise verfolgen die thematische Linie der Sonntagslesungen über den Dreijahreszyklus hinweg.",
        "overview": "baue ein Perikopenordnung-Tool für die Lesejahre A B und C",
        "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "category_number": 2,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Lektoren und Priester bereiten sich mit korrekt zugeordneten Lesungen für das jeweils aktuelle Lesejahr vor, Bibelkreise verfolgen die thematische Linie der Sonntagslesungen über den Dreijahreszyklus hinweg.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-319",
        "title": "erstelle ein Nachschlagewerk zum gregorianischen Messproprium",
        "prompt_number": 319,
        "prompt": "erstelle ein Nachschlagewerk zum gregorianischen Messproprium - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Proprium-Datenbank Introitus/Graduale/Alleluja/Offertorium/Communio pro Sonntag im Kirchenjahr, lateinischer Original-Notentext-Platzhalter mit deutscher Übersetzung, Modus-Zuordnung der acht Kirchentöne pro Gesang, historische Herkunfts-Angabe ältester belegter Gebrauch des jeweiligen Gesangs, Audio-Vorlese-Mockup zur Aussprache-Übung, Vergleich Gregorianisches-Proprium versus deutschsprachiges-Wechselgesang-Alternative, Suchfunktion nach Kirchenjahreszeit oder Anfangswort des Introitus, Kantoren-Übungsmodus mit Wiederholungs-Timer, Zusammenstellung eines vollständigen Proprium-Sets für einen bestimmten Sonntag druckbar, thematische Verknüpfung zwischen Introitus-Text und Tagesevangelium, Neumen-Bild-Platzhalter zur Notation, GSAP Notenzeile-Einblend-Animationen - USE CASE: Kirchenchöre und Scholae bereiten das gregorianische Proprium für den jeweiligen Sonntag korrekt zugeordnet vor, Liturgiewissenschafts-Studierende erschließen sich die historische Gesangstradition der Messe systematisch.",
        "overview": "erstelle ein Nachschlagewerk zum gregorianischen Messproprium",
        "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "category_number": 2,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Kirchenchöre und Scholae bereiten das gregorianische Proprium für den jeweiligen Sonntag korrekt zugeordnet vor, Liturgiewissenschafts-Studierende erschließen sich die historische Gesangstradition der Messe systematisch.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-320",
        "title": "entwickle ein Nachschlagewerk zu den Riten der Sakramentenspendung",
        "prompt_number": 320,
        "prompt": "entwickle ein Nachschlagewerk zu den Riten der Sakramentenspendung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ablaufschema aller sieben Sakramente mit korrekter liturgischer Reihenfolge Taufe/Firmung/Eucharistie/Beichte/Krankensalbung/Weihe/Ehe, vollständige Spendungsformeln im lateinischen Original mit deutscher Übersetzung, Materie-und-Form-Erklärung pro Sakrament nach scholastischer Sakramententheologie, Nottaufe-Kurzanleitung für Laien in Notfällen klar hervorgehoben, Trauungsritus-Varianten innerhalb und außerhalb der Messe, Krankensalbung-Ablauf mit den beiden Salbungsstellen Stirn und Hände, Diakon-versus-Priester-Kompetenzen-Übersicht je Sakrament, historische Entwicklung der Riten seit dem Zweiten Vatikanischen Konzil, Vorbereitungs-Checklisten für Spender vor jeder Sakramentenspendung, Glossar sakramententheologischer Fachbegriffe, Suchfunktion über alle Riten hinweg, GSAP Ritus-Ablauf-Animationen - USE CASE: Priester und Diakone bereiten Sakramentenspendungen mit korrekten Formeln und Abläufen zuverlässig vor, Theologiestudierende erschließen sich die sakramentale Praxis der Kirche strukturiert neben der theoretischen Sakramentenlehre. ## Kategorie 3: BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "overview": "entwickle ein Nachschlagewerk zu den Riten der Sakramentenspendung",
        "category": "LITURGIE & MESSORDNUNG TOOLS (10 Prompts)",
        "category_number": 2,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Priester und Diakone bereiten Sakramentenspendungen mit korrekten Formeln und Abläufen zuverlässig vor, Theologiestudierende erschließen sich die sakramentale Praxis der Kirche strukturiert neben der theoretischen Sakramentenlehre. ## Kategorie 3: BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-321",
        "title": "erstelle ein Bibel-Konkordanz- und Parallelstellen-Tool",
        "prompt_number": 321,
        "prompt": "erstelle ein Bibel-Konkordanz- und Parallelstellen-Tool - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Volltext-Konkordanz-Suche über alle Bücher mit Häufigkeits-Statistik pro Begriff (ApexCharts Balken), automatische Parallelstellen-Anzeige bei synoptischen Evangelien-Texten Matthäus-Markus-Lukas nebeneinander, thematische Stichwort-Cluster verwandte Begriffe wie Barmherzigkeit/Vergebung/Gnade, Zitat-Netz-Visualisierung Altes-Testament-Zitate im Neuen Testament (D3.js Graph), Buch-Kapitel-Vers-Sprung-Navigation direkt zur Stelle, Lesezeichen-Sammlung häufig genutzter Stellen, Vers-Vergleich innerhalb desselben Buches thematisch verwandte Abschnitte, Suchhistorie für wiederkehrende Recherchen, Exportfunktion gefundener Stellen als Zitatliste mit Quellenangabe, Häufigkeits-Heatmap welche Bücher am meisten zitiert werden (D3.js), Notizfeld pro gefundener Stelle, GSAP Treffer-Hervorhebungs-Animationen - USE CASE: Bibelkreisleiter bereiten thematische Studienabende mit belegten Parallelstellen fundiert vor, Prediger recherchieren schnell verwandte Schriftstellen zu einem Predigtthema ohne gedruckte Konkordanz.",
        "overview": "erstelle ein Bibel-Konkordanz- und Parallelstellen-Tool",
        "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "category_number": 3,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Bibelkreisleiter bereiten thematische Studienabende mit belegten Parallelstellen fundiert vor, Prediger recherchieren schnell verwandte Schriftstellen zu einem Predigtthema ohne gedruckte Konkordanz.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-322",
        "title": "entwickle ein Übersetzungsvergleichs-Tool für biblische Kernstellen",
        "prompt_number": 322,
        "prompt": "entwickle ein Übersetzungsvergleichs-Tool für biblische Kernstellen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Side-by-Side-Vergleich Einheitsübersetzung/Lutherbibel/Vulgata/Septuaginta-Bezug pro ausgewähltem Vers, Wort-für-Wort-Unterschiede farbcodiert hervorgehoben, historische Übersetzungs-Entstehungs-Erklärung pro Version, Fußnoten-Anzeige textkritischer Varianten, Übersetzungs-Philosophie-Erklärung wörtlich versus sinngemäß je Version, häufig verglichene Streitstellen-Bibliothek zum Beispiel Jesaja 7,14, Lesehilfe für die lateinische Vulgata mit Aussprache-Hinweis, persönliche Vergleichsnotizen pro Vers speicherbar, Statistik welche Verse am häufigsten verglichen werden (ApexCharts Balken), Export Vergleichstabelle als PDF für Bibelkreise, Suchfunktion über alle hinterlegten Versionen gleichzeitig, GSAP Versionswechsel-Übergangs-Animationen - USE CASE: Bibelkreise vertiefen ihr Verständnis durch den direkten Textvergleich verschiedener Übersetzungstraditionen, Theologiestudierende bereiten sich mit dem Vulgata-Bezug gezielt auf Exegese-Seminare vor.",
        "overview": "entwickle ein Übersetzungsvergleichs-Tool für biblische Kernstellen",
        "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "category_number": 3,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Bibelkreise vertiefen ihr Verständnis durch den direkten Textvergleich verschiedener Übersetzungstraditionen, Theologiestudierende bereiten sich mit dem Vulgata-Bezug gezielt auf Exegese-Seminare vor.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-323",
        "title": "programmiere einen Bibel-Leseplan-Tracker Ein Jahr durch die Bibel",
        "prompt_number": 323,
        "prompt": "programmiere einen Bibel-Leseplan-Tracker Ein Jahr durch die Bibel - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorgefertigter 365-Tage-Leseplan chronologisch oder nach biblischer Buchreihenfolge wählbar, tägliches Abhaken mit Fortschrittsbalken über das Jahr (ApexCharts Kalender-Heatmap), Nachhol-Funktion bei verpassten Tagen mit angepasstem Resttempo, thematische Alternative-Pläne Altes-Testament-in-90-Tagen oder Nur-die-Evangelien, tägliche Kurz-Reflexion-Notizfeld zum Gelesenen, Lesezeit-Schätzung pro Tagesabschnitt, Streak-Anzeige aufeinanderfolgende Lesetage, Wochenrückblick gelesene Kapitel und Bücher, Erinnerungs-Benachrichtigung zur gewählten Lesezeit, Gemeinschafts-Lesevergleich-Mockup mit Pfarrgruppe gleicher Leseplan, Jahresabschluss-Zertifikat bei vollständigem Durchlauf, GSAP Fortschritts-Buch-Animationen - USE CASE: Gläubige lesen die gesamte Bibel strukturiert innerhalb eines Jahres statt das Vorhaben nach Wochen abzubrechen, Pfarreien bieten den Leseplan als gemeinsames Jahresprojekt für Bibelkreise an.",
        "overview": "programmiere einen Bibel-Leseplan-Tracker Ein Jahr durch die Bibel",
        "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "category_number": 3,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige lesen die gesamte Bibel strukturiert innerhalb eines Jahres statt das Vorhaben nach Wochen abzubrechen, Pfarreien bieten den Leseplan als gemeinsames Jahresprojekt für Bibelkreise an.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-324",
        "title": "baue ein Exegese-Notizbuch für die persönliche Schriftstudie",
        "prompt_number": 324,
        "prompt": "baue ein Exegese-Notizbuch für die persönliche Schriftstudie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierter Notiz-Editor pro Perikope nach historisch-kritischer Methode Textkritik/Literarkritik/Formkritik/Auslegung, Verknüpfung mit Kommentarliteratur-Zitaten eigene Einträge, Ursprache-Notizfeld für griechische oder hebräische Schlüsselbegriffe, Kontext-Karte historischer und literarischer Zusammenhang der Stelle, Auslegungsgeschichte-Sektion wie die Stelle durch Kirchenväter und spätere Theologen verstanden wurde, Verknüpfung mehrerer Notizen zu thematischen Studienprojekten, Volltextsuche über alle eigenen Notizen, Exportfunktion einzelner Exegesen als strukturiertes Dokument, Lesezeichen-System für laufende Studienprojekte, Zeitaufwand-Tracking pro Studieneinheit, Quellenverzeichnis-Verwaltung genutzter Literatur, GSAP Notiz-Karten-Animationen - USE CASE: Theologiestudierende dokumentieren eigene Exegesen strukturiert für Seminararbeiten, ernsthafte Laien vertiefen ihr Schriftverständnis über einfaches Lesen hinaus mit einer nachvollziehbaren Methode.",
        "overview": "baue ein Exegese-Notizbuch für die persönliche Schriftstudie",
        "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "category_number": 3,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Theologiestudierende dokumentieren eigene Exegesen strukturiert für Seminararbeiten, ernsthafte Laien vertiefen ihr Schriftverständnis über einfaches Lesen hinaus mit einer nachvollziehbaren Methode.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-325",
        "title": "erstelle einen geführten Lectio-Divina-Guide in vier Schritten",
        "prompt_number": 325,
        "prompt": "erstelle einen geführten Lectio-Divina-Guide in vier Schritten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Führung durch die vier klassischen Schritte Lectio/Meditatio/Oratio/Contemplatio mit Zeittimer pro Phase, Tagesvers-Vorschlag oder freie Textwahl aus der Schrift, geführte Fragen pro Phase Was-steht-da/Was-bedeutet-es-für-mich/Wie-antworte-ich/Stille-Verweilen, Stille-Glocke zwischen den Phasen nach klösterlicher Tradition, persönliches Kontemplations-Tagebuch pro Sitzung, historische Einführung Ursprung in der benediktinischen Mönchstradition, Wiederholungs-Funktion denselben Text über mehrere Tage vertiefen, Fortschritts-Statistik regelmäßige Praxis (ApexCharts Kalender-Heatmap), Gruppen-Modus für gemeinsame Lectio-Divina-Abende mit geteilten Impulsen, Hintergrundgeräusch-Auswahl Stille oder sanfte Klangschale, Export der eigenen Einsichten als PDF, GSAP Phasen-Übergangs-Animationen mit sanftem Fade - USE CASE: Gläubige praktizieren die traditionelle betende Schriftlesung strukturiert statt unsicher wo sie beginnen sollen, Exerzitienhäuser und Gebetsgruppen nutzen den Guide als Vorlage für gemeinsame Lectio-Divina-Abende.",
        "overview": "erstelle einen geführten Lectio-Divina-Guide in vier Schritten",
        "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "category_number": 3,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige praktizieren die traditionelle betende Schriftlesung strukturiert statt unsicher wo sie beginnen sollen, Exerzitienhäuser und Gebetsgruppen nutzen den Guide als Vorlage für gemeinsame Lectio-Divina-Abende.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-326",
        "title": "entwickle einen biblischen Zeitleisten-Visualizer von Abraham bis zu den Aposteln",
        "prompt_number": 326,
        "prompt": "entwickle einen biblischen Zeitleisten-Visualizer von Abraham bis zu den Aposteln - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Interaktive Zeitleiste Patriarchenzeit/Königszeit/Exil/Zwischentestamentliche-Zeit/Neues-Testament (D3.js Timeline), Verknüpfung biblischer Ereignisse mit außerbiblischer Weltgeschichte zur Einordnung, Personen-Stammbaum-Ansicht Abraham-Isaak-Jakob und davidische Königslinie (D3.js Baum), Datierungs-Unsicherheiten transparent gekennzeichnet nach wissenschaftlichem Konsens, Klick-Navigation von Zeitleisten-Ereignis zur passenden Bibelstelle, thematische Filterung nur Propheten oder nur Könige anzeigen, Kartenverknüpfung geografischer Bezug zu Ereignissen, Zwischentestamentliche-Zeit-Erklärung Makkabäer und hellenistischer Einfluss, Paulusreisen-Zeitfenster innerhalb der Apostelgeschichte-Chronologie, Export Zeitleisten-Abschnitt als Bild für Unterricht, Suchfunktion nach Personen oder Ereignissen, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Katecheten vermitteln den historischen Gesamtzusammenhang der Heilsgeschichte anschaulich statt isolierter Einzelgeschichten, Bibelkreise verorten einzelne Bücher korrekt in der Abfolge der biblischen Geschichte.",
        "overview": "entwickle einen biblischen Zeitleisten-Visualizer von Abraham bis zu den Aposteln",
        "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "category_number": 3,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Katecheten vermitteln den historischen Gesamtzusammenhang der Heilsgeschichte anschaulich statt isolierter Einzelgeschichten, Bibelkreise verorten einzelne Bücher korrekt in der Abfolge der biblischen Geschichte.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-327",
        "title": "programmiere eine interaktive Landkarte der Paulusreisen",
        "prompt_number": 327,
        "prompt": "programmiere eine interaktive Landkarte der Paulusreisen - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Karte mit allen drei Missionsreisen des Paulus plus der Gefangenentransport-Reise nach Rom, Routenverlauf mit Zwischenstationen Antiochia/Ephesus/Korinth/Philippi anklickbar, Verknüpfung jeder Station mit der zugehörigen Apostelgeschichte-Textstelle, historische Distanz- und Reisezeit-Schätzung pro Etappe, Landverkehr-versus-Seeweg-Kennzeichnung der Routenabschnitte, Gemeinde-Gründungs-Markierung an den jeweiligen Stationen mit Verweis auf zugehörige Paulusbriefe, Zeitachsen-Schieberegler zur Nachverfolgung der Chronologie, Gefahren-und-Widerstände-Anmerkungen laut biblischem Bericht, thematische Ebenen ein-und-ausblendbar Reise-1/2/3/Gefangenschaft, Export der Karte als Bild für den Religionsunterricht, Vergleichsansicht antike versus heutige Ortsnamen, GSAP Routenverlauf-Zeichenanimationen - USE CASE: Religionslehrer veranschaulichen die Missionsreisen des Paulus geografisch statt nur textlich, Bibelkreise verorten die Paulusbriefe konkret am jeweiligen Ort ihrer Entstehung oder Adressierung.",
        "overview": "programmiere eine interaktive Landkarte der Paulusreisen",
        "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "category_number": 3,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Religionslehrer veranschaulichen die Missionsreisen des Paulus geografisch statt nur textlich, Bibelkreise verorten die Paulusbriefe konkret am jeweiligen Ort ihrer Entstehung oder Adressierung.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-328",
        "title": "baue ein Urtext-Wortstudien-Tool mit Strong-Nummern-System",
        "prompt_number": 328,
        "prompt": "baue ein Urtext-Wortstudien-Tool mit Strong-Nummern-System - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Griechische und hebräische Schlüsselbegriffe mit zugehöriger Strong-Nummer nachschlagbar, Wortstamm-Erklärung und grammatikalische Form pro Beleg, alle Vorkommen desselben Urtext-Begriffs im gesamten Kanon aufgelistet, Bedeutungsnuancen-Vergleich griechischer Begriffe wie Agape/Philia/Eros mit deutschen Übersetzungs-Alternativen, Transliterations-Anzeige für Lesende ohne Griechisch- oder Hebräischkenntnisse, Aussprache-Mockup-Audio pro Begriff, thematische Wortfelder verwandte Begriffe gruppiert (D3.js Cluster), Vergleich wie ein Urtext-Begriff in verschiedenen deutschen Übersetzungen wiedergegeben wird, persönliche Wortstudien-Sammlung speicherbar, Suchfunktion nach Strong-Nummer oder deutschem Begriff, Häufigkeits-Statistik pro Begriff über die Bibel (ApexCharts Balken), GSAP Wortkarten-Einblend-Animationen - USE CASE: Theologiestudierende vertiefen ihr Verständnis biblischer Kernbegriffe über die deutsche Übersetzung hinaus, Prediger untermauern Predigtaussagen mit fundierten Wortstudien zum griechischen oder hebräischen Original.",
        "overview": "baue ein Urtext-Wortstudien-Tool mit Strong-Nummern-System",
        "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "category_number": 3,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Theologiestudierende vertiefen ihr Verständnis biblischer Kernbegriffe über die deutsche Übersetzung hinaus, Prediger untermauern Predigtaussagen mit fundierten Wortstudien zum griechischen oder hebräischen Original.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-329",
        "title": "erstelle ein Psalmen-Gebetsbuch mit Tageszuordnung nach dem Stundengebet-Psalter",
        "prompt_number": 329,
        "prompt": "erstelle ein Psalmen-Gebetsbuch mit Tageszuordnung nach dem Stundengebet-Psalter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle 150 Psalmen mit Zuordnung zum jeweiligen Wochentag des Vier-Wochen-Psalters, Psalmengattungen-Kennzeichnung Klage/Lob/Danklied/Königspsalm mit Kurzerläuterung, Antiphonen-Vorschläge passend zur Kirchenjahreszeit pro Psalm, persönliches Lieblingspsalmen-Lesezeichen, Kontext-Erklärung historischer Entstehungshintergrund pro Psalm soweit bekannt, Vertonungs-Hinweis bekannte gregorianische oder mehrstimmige Vertonungen, Suchfunktion nach Thema Trost/Vertrauen/Bitte/Dank, tägliche Psalmen-Empfehlung passend zur persönlichen Lebenssituation, Vers-für-Vers-Meditations-Modus mit Pausenzeiten, Lesefortschritt durch alle 150 Psalmen (ApexCharts Kalender-Heatmap), Export einzelner Psalmen als Gebetskarte, GSAP Psalmvers-Einblend-Animationen - USE CASE: Gläubige beten die Psalmen strukturiert im Rhythmus des kirchlichen Stundengebets, Seelsorger empfehlen passende Psalmen gezielt nach der jeweiligen Lebenssituation eines Ratsuchenden.",
        "overview": "erstelle ein Psalmen-Gebetsbuch mit Tageszuordnung nach dem Stundengebet-Psalter",
        "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "category_number": 3,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige beten die Psalmen strukturiert im Rhythmus des kirchlichen Stundengebets, Seelsorger empfehlen passende Psalmen gezielt nach der jeweiligen Lebenssituation eines Ratsuchenden.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-330",
        "title": "entwickle einen Bibelvers-Memorierungs-Trainer mit Spaced Repetition",
        "prompt_number": 330,
        "prompt": "entwickle einen Bibelvers-Memorierungs-Trainer mit Spaced Repetition - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vers-Bibliothek nach Themen geordnet Trost/Glaube/Liebe/Weisheit mit vorgeschlagenen Kernversen, Spaced-Repetition-Algorithmus für optimale Wiederholungsintervalle, Lückentext-Übungsmodus zunehmend schwieriger werdend, Referenz-Zuordnungs-Übung Vers zu korrekter Bibelstelle zuordnen, tägliches Wiederholungs-Pensum mit Fortschrittsanzeige (ApexCharts Radial), eigene Verse zur persönlichen Sammlung hinzufügen, Memorier-Streak-Tracker aufeinanderfolgende Übungstage, Audio-Vorlese-Mockup zur Aussprache-Unterstützung, Gruppen-Wettbewerb-Mockup für Konfirmanden- oder Firmgruppen, Zertifikat bei abgeschlossenem Themenblock, Karteikarten-Ansicht mit Umdreh-Animation, GSAP Karten-Flip-Animationen - USE CASE: Konfirmanden und Erstkommunionkinder lernen zentrale Bibelverse nachhaltig statt nur kurzfristig für den Unterricht, Gläubige bauen sich über Jahre einen soliden Schatz auswendig gelernter Schriftworte für die persönliche Andacht auf. ## Kategorie 4: INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "overview": "entwickle einen Bibelvers-Memorierungs-Trainer mit Spaced Repetition",
        "category": "BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)",
        "category_number": 3,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Konfirmanden und Erstkommunionkinder lernen zentrale Bibelverse nachhaltig statt nur kurzfristig für den Unterricht, Gläubige bauen sich über Jahre einen soliden Schatz auswendig gelernter Schriftworte für die persönliche Andacht auf. ## Kategorie 4: INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-331",
        "title": "erstelle ein Vergleichsanalyse-Tool zu gemeinsamen Erzählungen in Koran und Bibel",
        "prompt_number": 331,
        "prompt": "erstelle ein Vergleichsanalyse-Tool zu gemeinsamen Erzählungen in Koran und Bibel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Thematische Gegenüberstellung gemeinsamer Gestalten Abraham/Ibrahim, Maria/Maryam, Jesus/Isa mit jeweiligem Quellentext nebeneinander, respektvolle Einordnung der jeweils eigenen theologischen Bedeutung ohne Wertung einer Tradition über die andere, Unterschiede-und-Gemeinsamkeiten-Matrix pro Erzählung sachlich dargestellt, historischer Kontext der Textentstehung beider Traditionen, Glossar arabischer und hebräischer Fachbegriffe mit Aussprache, Quellenangaben zu anerkannten islamischen und christlichen Kommentaren, Suchfunktion nach gemeinsamen Themen Schöpfung/Sintflut/Jüngstes-Gericht, Lernpfad für interessierte Laien beider Traditionen, Experten-Zitate-Sammlung aus offiziellen Dialogdokumenten, Feedback-Formular für theologische Korrekturhinweise, GSAP Text-Gegenüberstellungs-Animationen - USE CASE: Religionslehrer bereiten respektvollen interreligiösen Unterricht mit belegten Textvergleichen vor, am Dialog Interessierte beider Traditionen verstehen die eigene und die andere Glaubensüberlieferung fundierter statt oberflächlicher Klischees.",
        "overview": "erstelle ein Vergleichsanalyse-Tool zu gemeinsamen Erzählungen in Koran und Bibel",
        "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "category_number": 4,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Religionslehrer bereiten respektvollen interreligiösen Unterricht mit belegten Textvergleichen vor, am Dialog Interessierte beider Traditionen verstehen die eigene und die andere Glaubensüberlieferung fundierter statt oberflächlicher Klischees.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-332",
        "title": "entwickle einen Studienbegleiter zur Konzilserklärung Nostra Aetate",
        "prompt_number": 332,
        "prompt": "entwickle einen Studienbegleiter zur Konzilserklärung Nostra Aetate - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständiger Text der Erklärung von 1965 mit Absatz-für-Absatz-Kommentierung, historischer Entstehungskontext Zweites Vatikanisches Konzil und dessen Bedeutung, Kernaussagen-Zusammenfassung pro Religion Judentum/Islam/Hinduismus/Buddhismus, Rezeptionsgeschichte wie sich das christlich-jüdische Verhältnis seither entwickelt hat, Zeitleiste bedeutender interreligiöser Meilensteine nach 1965 (D3.js Timeline), Diskussionsfragen-Katalog für Studiengruppen, Vergleich zu vorkonziliaren Positionen zur Einordnung der Neuerung, Verknüpfung zu Folgedokumenten der Päpste zum interreligiösen Dialog, Zitat-Sammlung zentraler Sätze mit Quellenangabe, persönliches Studien-Tagebuch pro Kapitel, Quiz zum Textverständnis, GSAP Abschnitts-Einblend-Animationen - USE CASE: Theologiestudierende erarbeiten sich die Bedeutung von Nostra Aetate für das heutige interreligiöse Klima fundiert, Pfarrgemeinderäte bereiten Gesprächsabende zum jüdisch-christlichen Verhältnis auf Basis des offiziellen Konzilstextes vor.",
        "overview": "entwickle einen Studienbegleiter zur Konzilserklärung Nostra Aetate",
        "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "category_number": 4,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Theologiestudierende erarbeiten sich die Bedeutung von Nostra Aetate für das heutige interreligiöse Klima fundiert, Pfarrgemeinderäte bereiten Gesprächsabende zum jüdisch-christlichen Verhältnis auf Basis des offiziellen Konzilstextes vor.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-333",
        "title": "programmiere ein Weltreligionen-Vergleichs-Dashboard",
        "prompt_number": 333,
        "prompt": "programmiere ein Weltreligionen-Vergleichs-Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Vergleich der fünf großen Weltreligionen Christentum/Islam/Judentum/Hinduismus/Buddhismus nach einheitlichen Kategorien Gottesbild/Heilige-Schriften/Zentrale-Praxis/Ethik, neutrale sachliche Darstellungsweise ohne Wertung einer Tradition als überlegen, interaktive Matrix-Ansicht zum gezielten Zweiervergleich, Zeitleiste Entstehungszeitpunkt jeder Religion (D3.js Timeline), geografische Verbreitungs-Übersicht heute, Gemeinsamkeiten-Sektion goldene Regel und Nächstenliebe-Prinzip über alle Traditionen hinweg, Feiertage-Kalender-Vergleich der wichtigsten Feste je Religion, Glossar religionsspezifischer Fachbegriffe, Quellenverzeichnis anerkannter religionswissenschaftlicher Literatur pro Abschnitt, Lernpfad für Schule und Erwachsenenbildung, Feedback-Kanal für fachliche Korrekturen, GSAP Kategorie-Wechsel-Animationen - USE CASE: Religionslehrer vermitteln einen fundierten und respektvollen Überblick über die Weltreligionen im Unterricht, Teilnehmer an interreligiösen Dialogveranstaltungen bereiten sich mit belastbarem Grundwissen über die jeweils andere Tradition vor.",
        "overview": "programmiere ein Weltreligionen-Vergleichs-Dashboard",
        "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "category_number": 4,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Religionslehrer vermitteln einen fundierten und respektvollen Überblick über die Weltreligionen im Unterricht, Teilnehmer an interreligiösen Dialogveranstaltungen bereiten sich mit belastbarem Grundwissen über die jeweils andere Tradition vor.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-334",
        "title": "baue ein Vorbereitungs-Tool für interreligiöse Dialogtreffen",
        "prompt_number": 334,
        "prompt": "baue ein Vorbereitungs-Tool für interreligiöse Dialogtreffen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themen-Checkliste für ein anstehendes Dialogtreffen mit Vorschlägen zu respektvoller Gesprächsführung, Hintergrundwissen-Kompaktprofile der beteiligten Traditionen zur Vorbereitung, Häufige-Missverständnisse-Warnliste die im Dialog leicht zu Verletzungen führen können, Gesprächsleitfaden-Vorlagen für strukturierte Themenblöcke, Teilnehmer-Vorstellungsrunden-Vorlage mit Fragen zur eigenen Glaubenspraxis, Nachbereitungs-Protokoll-Vorlage für gemeinsame Erkenntnisse, Ressourcen-Bibliothek offizieller Dialogdokumente beider beteiligter Traditionen, Zeitplan-Baukasten für den Ablauf des Treffens, Konfliktvermeidungs-Hinweise bei sensiblen Themen, Feedback-Formular nach dem Treffen für die Teilnehmenden, Terminplanungs-Kalender für Folgetreffen, GSAP Ablauf-Checklisten-Animationen - USE CASE: Pfarreien und Moscheegemeinden bereiten gemeinsame Dialogabende strukturiert und respektvoll vor, Organisatoren interreligiöser Wochen vermeiden durch die Checklisten häufige Fettnäpfchen im Erstkontakt zwischen den Traditionen.",
        "overview": "baue ein Vorbereitungs-Tool für interreligiöse Dialogtreffen",
        "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "category_number": 4,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien und Moscheegemeinden bereiten gemeinsame Dialogabende strukturiert und respektvoll vor, Organisatoren interreligiöser Wochen vermeiden durch die Checklisten häufige Fettnäpfchen im Erstkontakt zwischen den Traditionen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-335",
        "title": "erstelle einen Gemeinsame-Werte-Finder über religiöse Traditionen hinweg",
        "prompt_number": 335,
        "prompt": "erstelle einen Gemeinsame-Werte-Finder über religiöse Traditionen hinweg - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Werte-Datenbank Nächstenliebe/Gastfreundschaft/Barmherzigkeit/Gerechtigkeit mit Belegstellen aus mehreren heiligen Schriften parallel, Goldene-Regel-Vergleich wortgetreu aus Bibel, Koran, Tora, buddhistischen und hinduistischen Schriften, Filterfunktion nach Wert oder nach Tradition, Kontext-Erklärung wie derselbe Wert innerhalb jeder Tradition praktisch gelebt wird, Übereinstimmungs-Visualisierung wie viele Traditionen einen bestimmten Wert teilen (D3.js Venn-artige Darstellung), Diskussionsimpulse für gemeinsame Sozialprojekte auf Basis geteilter Werte, Zitat-Sammlung religiöser Führungspersönlichkeiten zum interreligiösen Miteinander, Bildungsmaterial-Export für Schulklassen, Suchfunktion nach Stichwort über alle hinterlegten Traditionen, persönliche Reflexionsnotizen, GSAP Werte-Karten-Verbindungs-Animationen - USE CASE: Schulen und Jugendgruppen entdecken gemeinsam die ethischen Schnittmengen zwischen den Religionen ihrer Mitschüler, Sozialinitiativen mit interreligiöser Trägerschaft begründen ihre Zusammenarbeit mit den tatsächlichen gemeinsamen Grundlagen der beteiligten Traditionen.",
        "overview": "erstelle einen Gemeinsame-Werte-Finder über religiöse Traditionen hinweg",
        "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "category_number": 4,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Schulen und Jugendgruppen entdecken gemeinsam die ethischen Schnittmengen zwischen den Religionen ihrer Mitschüler, Sozialinitiativen mit interreligiöser Trägerschaft begründen ihre Zusammenarbeit mit den tatsächlichen gemeinsamen Grundlagen der beteiligten Traditionen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-336",
        "title": "entwickle eine Struktur-App für respektvolle Debatten über Glaubensfragen",
        "prompt_number": 336,
        "prompt": "entwickle eine Struktur-App für respektvolle Debatten über Glaubensfragen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Moderierter Gesprächsablauf mit festen Redezeiten und Rederunden pro Standpunkt, Regelwerk-Anzeige respektvolle Sprache und Verbot persönlicher Angriffe prominent eingeblendet, Themen-Vorschlags-Katalog kontroverser aber konstruktiv diskutierbarer Glaubensfragen, Standpunkt-Zusammenfassungs-Tool am Ende jeder Runde durch neutrale Formulierung, Zuhör-Bestätigungs-Funktion Teilnehmer bestätigt den anderen Standpunkt korrekt verstanden zu haben bevor er antwortet, Eskalations-Warnsystem bei zunehmend gereizter Wortwahl-Mockup, Protokoll-Export der geführten Debatte für Nachbereitung, Perspektivwechsel-Übung Teilnehmer formuliert kurz den gegnerischen Standpunkt, Fazit-Sektion gemeinsame Erkenntnisse statt Gewinner-Verlierer-Logik, Moderatoren-Leitfaden für Veranstalter, Bewertungs-Formular Gesprächsqualität statt Meinungssieg, GSAP Redezeit-Timer-Animationen - USE CASE: Universitätsgruppen und Gemeindekreise führen kontroverse Glaubensgespräche strukturiert ohne dass sie in gegenseitige Verletzung münden, Moderatoren interreligiöser Podien nutzen die Struktur als bewährten roten Faden.",
        "overview": "entwickle eine Struktur-App für respektvolle Debatten über Glaubensfragen",
        "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "category_number": 4,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Universitätsgruppen und Gemeindekreise führen kontroverse Glaubensgespräche strukturiert ohne dass sie in gegenseitige Verletzung münden, Moderatoren interreligiöser Podien nutzen die Struktur als bewährten roten Faden.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-337",
        "title": "programmiere einen Stammbaum-Explorer der abrahamitischen Religionen",
        "prompt_number": 337,
        "prompt": "programmiere einen Stammbaum-Explorer der abrahamitischen Religionen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gemeinsamer Stammbaum ausgehend von Abraham über Isaak und Ismael verzweigend zu Judentum-Christentum und Islam (D3.js Baumdiagramm), Klick-Erläuterung zu jeder Figur mit Bezug in allen drei Traditionen, theologische Bedeutungs-Unterschiede derselben Gestalt klar gekennzeichnet ohne eine Deutung als richtig oder falsch zu werten, Zeitleiste der drei Offenbarungstraditionen im historischen Verlauf, gemeinsame heilige Orte-Sektion Jerusalem und Hebron mit Bedeutung für alle drei Religionen, Glaubensbekenntnis-Kurzvergleich der drei Traditionen, Suchfunktion nach Personen des Stammbaums, Bildungsmaterial-Export für interreligiösen Unterricht, Quellenangaben zu Tora, Bibel und Koran pro Station, Diskussionsfragen zur gemeinsamen Wurzel bei unterschiedlicher Entfaltung, Feedback-Kanal für theologische Genauigkeit, GSAP Stammbaum-Verzweigungs-Animationen - USE CASE: Religionslehrer verdeutlichen Schülern die gemeinsame Wurzel der drei monotheistischen Weltreligionen visuell nachvollziehbar, interreligiöse Bildungshäuser nutzen den Explorer als Einstieg in vertiefende Dialogformate.",
        "overview": "programmiere einen Stammbaum-Explorer der abrahamitischen Religionen",
        "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "category_number": 4,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Religionslehrer verdeutlichen Schülern die gemeinsame Wurzel der drei monotheistischen Weltreligionen visuell nachvollziehbar, interreligiöse Bildungshäuser nutzen den Explorer als Einstieg in vertiefende Dialogformate.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-338",
        "title": "baue ein Studientool zum christlich-jüdischen Verhältnis nach Nostra Aetate",
        "prompt_number": 338,
        "prompt": "baue ein Studientool zum christlich-jüdischen Verhältnis nach Nostra Aetate - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historischer Überblick der Beziehungsentwicklung von den ersten Jahrhunderten bis zur Gegenwart mit besonderem Fokus auf die Zeit nach 1965, gemeinsame Schriftgrundlage-Sektion Altes Testament als Tanach in beiden Traditionen mit unterschiedlicher Auslegungstradition, Zeitleiste bedeutender Gesten der Annäherung Papstbesuche in Synagogen und deren Bedeutung, Glossar zentraler Begriffe des jüdisch-christlichen Dialogs, Zitat-Sammlung offizieller kirchlicher Dokumente zum Verhältnis zum Judentum, Diskussion der besonderen Erwählung Israels aus katholischer Sicht nach dem Konzil, Vergleich jüdischer und christlicher Feste mit gemeinsamen Wurzeln Pessach und Ostern, Lernpfad für Pfarrgemeinderäte zur Vorbereitung von Gedenktagen, Ressourcen zur Woche der Brüderlichkeit, persönliches Studien-Tagebuch, Quiz zum Textverständnis der behandelten Dokumente, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Pfarrgemeinderäte bereiten Gedenkveranstaltungen zum christlich-jüdischen Dialog theologisch fundiert vor, Studierende der Theologie vertiefen ihr Verständnis der offiziellen kirchlichen Position zum Judentum nach dem Konzil.",
        "overview": "baue ein Studientool zum christlich-jüdischen Verhältnis nach Nostra Aetate",
        "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "category_number": 4,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarrgemeinderäte bereiten Gedenkveranstaltungen zum christlich-jüdischen Dialog theologisch fundiert vor, Studierende der Theologie vertiefen ihr Verständnis der offiziellen kirchlichen Position zum Judentum nach dem Konzil.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-339",
        "title": "erstelle einen Kalender interreligiöser Gebetstage für den Frieden",
        "prompt_number": 339,
        "prompt": "erstelle einen Kalender interreligiöser Gebetstage für den Frieden - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Historische Dokumentation der Assisi-Gebetstreffen seit 1986 mit den beteiligten Religionsvertretern, Jahreskalender bedeutender interreligiöser Gedenk- und Gebetstage weltweit, Hintergrund-Erklärung zu jedem Treffen und dessen Bedeutung für den interreligiösen Dialog, Zitat-Sammlung der Schlussbotschaften vergangener Treffen, Weltgebetstag-Sektion mit Beteiligung verschiedener christlicher Konfessionen, lokale Veranstaltungs-Vorschläge für eigene interreligiöse Gebetsinitiativen, Teilnahme-Tracker eigene Teilnahme an solchen Veranstaltungen dokumentieren, Themen-Übersicht wofür in den jeweiligen Jahren gebetet wurde Frieden im Nahen Osten und andere Anliegen, Erinnerungs-Funktion für kommende Gedenktage, Bildergalerie-Platzhalter historischer Momente, Diskussionsfragen für Gemeindegruppen zur Bedeutung gemeinsamen Betens bei unterschiedlichem Gottesbild, GSAP Kalenderblatt-Animationen - USE CASE: Pfarreien und interreligiöse Initiativen orientieren sich an der Geschichte der Assisi-Treffen für eigene lokale Friedensgebete, Religionslehrer nutzen die dokumentierte Geschichte als Beispiel gelebten interreligiösen Miteinanders im Unterricht.",
        "overview": "erstelle einen Kalender interreligiöser Gebetstage für den Frieden",
        "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "category_number": 4,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien und interreligiöse Initiativen orientieren sich an der Geschichte der Assisi-Treffen für eigene lokale Friedensgebete, Religionslehrer nutzen die dokumentierte Geschichte als Beispiel gelebten interreligiösen Miteinanders im Unterricht.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-340",
        "title": "entwickle ein vergleichendes Studientool zur Eschatologie der Weltreligionen",
        "prompt_number": 340,
        "prompt": "entwickle ein vergleichendes Studientool zur Eschatologie der Weltreligionen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sachlicher Vergleich der Jenseitsvorstellungen Christentum-Auferstehung-des-Fleisches, Islam-Jüngstes-Gericht, jüdische Vorstellungen von Olam-ha-Ba, buddhistisches Nirvana, hinduistischer Kreislauf von Samsara und Moksha, Quellentexte-Zitate pro Tradition mit Originalbeleg, historische Entwicklung eschatologischer Vorstellungen innerhalb jeder Tradition über Jahrhunderte, Glossar eschatologischer Fachbegriffe aller behandelten Traditionen, Gemeinsamkeiten-Sektion Gerechtigkeit-nach-dem-Tod als verbindendes Element trotz unterschiedlicher Ausgestaltung, akademischer Tonfall mit Verweis auf religionswissenschaftliche Standardliteratur, Diskussionsfragen für ein Seminar zur vergleichenden Religionswissenschaft, Zeitleisten-Darstellung der Lehrentwicklung pro Tradition (D3.js), persönliche Notizen zur eigenen Auseinandersetzung mit den Vergleichen, Export als Seminararbeit-Grundlage, GSAP Konzept-Vergleichs-Animationen - USE CASE: Studierende der vergleichenden Religionswissenschaft erarbeiten sich einen fundierten Überblick über eschatologische Vorstellungen verschiedener Traditionen, Religionslehrer vermitteln den respektvollen akademischen Vergleich als Alternative zu vorschnellen Werturteilen über fremde Jenseitsvorstellungen. ## Kategorie 5: KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "overview": "entwickle ein vergleichendes Studientool zur Eschatologie der Weltreligionen",
        "category": "INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)",
        "category_number": 4,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Studierende der vergleichenden Religionswissenschaft erarbeiten sich einen fundierten Überblick über eschatologische Vorstellungen verschiedener Traditionen, Religionslehrer vermitteln den respektvollen akademischen Vergleich als Alternative zu vorschnellen Werturteilen über fremde Jenseitsvorstellungen. ## Kategorie 5: KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-341",
        "title": "erstelle einen Katechismus-Chatbot mit serverseitigem Proxy",
        "prompt_number": 341,
        "prompt": "erstelle einen Katechismus-Chatbot mit serverseitigem Proxy - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Konversationelles Frage-Antwort-Interface zum Katechismus der Katholischen Kirche mit Quellenverweis auf die jeweilige CCC-Randnummer, Themen-Schnellzugriff Glaubensbekenntnis/Sakramente/Leben-in-Christus/Gebet als vier Säulen, Streaming-Antworten mit Typewriter-Effekt, Konversations-Historie lokal gespeichert, Verwandte-Fragen-Vorschläge nach jeder Antwort, Zitier-Funktion Antwort mit CCC-Randnummer kopieren, Mehrsprachigkeits-Umschaltung, Feedback-Button war die Antwort theologisch korrekt und hilfreich, Eskalations-Hinweis bei komplexen moraltheologischen Fragen Verweis an einen Priester, Rate-Limit-Anzeige serverseitig verwalteter Anfragen, GSAP Chat-Bubble-Animationen - USE CASE: Katecheten nutzen den Chatbot zur schnellen Vorbereitung von Unterrichtseinheiten mit belegten Quellenangaben, Erwachsene in der Glaubensbildung stellen Fragen zum Katechismus in eigenen Worten statt im gedruckten Werk zu blättern. WICHTIG: alle Sprachmodell-Aufrufe laufen ausschließlich über einen serverseitigen Proxy-Endpunkt, niemals wird ein API-Key im Client-Code hinterlegt — dies behebt direkt den im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts mit hartcodiertem OpenAI-Key, so wie es kathsafe6 bereits korrekt über eine Proxy-Architektur löst.",
        "overview": "erstelle einen Katechismus-Chatbot mit serverseitigem Proxy",
        "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "category_number": 5,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Katecheten nutzen den Chatbot zur schnellen Vorbereitung von Unterrichtseinheiten mit belegten Quellenangaben, Erwachsene in der Glaubensbildung stellen Fragen zum Katechismus in eigenen Worten statt im gedruckten Werk zu blättern. WICHTIG: alle Sprachmodell-Aufrufe laufen ausschließlich über einen serverseitigen Proxy-Endpunkt, niemals wird ein API-Key im Client-Code hinterlegt — dies behebt direkt den im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts mit hartcodiertem OpenAI-Key, so wie es kathsafe6 bereits korrekt über eine Proxy-Architektur löst.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-342",
        "title": "entwickle einen Beichtvorbereitungs-Assistenten mit sicherer KI-Anbindung",
        "prompt_number": 342,
        "prompt": "entwickle einen Beichtvorbereitungs-Assistenten mit sicherer KI-Anbindung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Geführtes Gespräch zur Gewissenserforschung anhand der Zehn Gebote mit KI-gestützten vertiefenden Rückfragen, vollständige Vertraulichkeits-Erklärung alle Eingaben verlassen nur verschlüsselt den Server ohne dauerhafte Speicherung sensibler Inhalte, Themenblock-Auswahl nach Lebensbereichen Familie/Beruf/Ehrlichkeit/Keuschheit, Formulierungshilfe für die eigentliche Beichte am Ende des Gesprächs, historische Erklärung zum Bußsakrament eingebettet, Reue-Akt-Text in mehreren Fassungen zur Auswahl, Erinnerungs-Funktion für regelmäßige Beichte, keine Speicherung sensibler Beichtinhalte auf dem Server ausdrücklich dokumentiert, Abbruch-Funktion jederzeit ohne Datenspur, Feedback nach der Nutzung zur Verbesserung der Fragestellungen, GSAP sanfte Übergangs-Animationen ruhige Farbgestaltung - USE CASE: Gläubige bereiten sich vor einem selten gewordenen Beichtgang strukturiert und ohne Scham vor einem Menschen vor, Priester empfehlen die App Beichtkindern als Vorbereitungshilfe außerhalb des Beichtstuhls. WICHTIG: der KI-Zugriff erfolgt zwingend über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt als Lehre aus dem kathbot31/kathbottts-Sicherheitsfund im eigenen Archiv gezogen und wie bei kathsafe6 sauber umgesetzt.",
        "overview": "entwickle einen Beichtvorbereitungs-Assistenten mit sicherer KI-Anbindung",
        "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "category_number": 5,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige bereiten sich vor einem selten gewordenen Beichtgang strukturiert und ohne Scham vor einem Menschen vor, Priester empfehlen die App Beichtkindern als Vorbereitungshilfe außerhalb des Beichtstuhls. WICHTIG: der KI-Zugriff erfolgt zwingend über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt als Lehre aus dem kathbot31/kathbottts-Sicherheitsfund im eigenen Archiv gezogen und wie bei kathsafe6 sauber umgesetzt.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-343",
        "title": "programmiere einen Heiliger-des-Tages-Erklärbot mit Proxy-Architektur",
        "prompt_number": 343,
        "prompt": "programmiere einen Heiliger-des-Tages-Erklärbot mit Proxy-Architektur - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle Heiligen-Anzeige nach dem römischen Generalkalender mit KI-generierter vertiefender Erklärung zu Leben und Bedeutung, Nachfrage-Funktion im Chat weitere Details zu Wunder/Patronaten/Reliquien zu erfragen, Quellenangaben zu anerkannten Hagiographien in den Antworten, Patron-Suchfunktion welcher Heilige für welches Anliegen zuständig ist, historische Einordnung des Heiligen in seine Zeit, Bildergalerie-Platzhalter zu bekannten Darstellungen, Merktag-Funktion eigenen Namenspatron favorisieren mit Erinnerung, Vergleichs-Chat mehrere Heilige desselben Tages gegenüberstellen, Kinderfreundlicher-Erklärmodus vereinfachte Sprache umschaltbar, Feedback-Sternebewertung pro Erklärung, GSAP Heiligen-Karten-Einblend-Animationen - USE CASE: Familien erfahren beim Frühstück kindgerecht mehr über den Tagesheiligen und dessen Patronate, Katecheten nutzen den Bot zur schnellen Recherche für Namenstagsfeiern in der Gemeinde. WICHTIG: sämtliche KI-Anfragen laufen über einen serverseitigen Proxy-Endpunkt, ein API-Key wird niemals im Browser sichtbar — die direkte Konsequenz aus dem dokumentierten kathbot31/kathbottts-Fund, korrekt gelöst wie bereits bei kathsafe6.",
        "overview": "programmiere einen Heiliger-des-Tages-Erklärbot mit Proxy-Architektur",
        "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "category_number": 5,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Familien erfahren beim Frühstück kindgerecht mehr über den Tagesheiligen und dessen Patronate, Katecheten nutzen den Bot zur schnellen Recherche für Namenstagsfeiern in der Gemeinde. WICHTIG: sämtliche KI-Anfragen laufen über einen serverseitigen Proxy-Endpunkt, ein API-Key wird niemals im Browser sichtbar — die direkte Konsequenz aus dem dokumentierten kathbot31/kathbottts-Fund, korrekt gelöst wie bereits bei kathsafe6.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-344",
        "title": "baue einen theologischen Frage-Antwort-Bot zu moraltheologischen Themen",
        "prompt_number": 344,
        "prompt": "baue einen theologischen Frage-Antwort-Bot zu moraltheologischen Themen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface für Fragen zur katholischen Moraltheologie mit differenzierten, quellenbelegten Antworten, klare Kennzeichnung wann eine Frage über die KI-Kompetenz hinausgeht und ein persönliches Seelsorgegespräch empfohlen wird, Themenkategorien Sozialethik/Bioethik/Sexualmoral/Wirtschaftsethik strukturiert, Zitierfunktion mit Verweis auf Katechismus und lehramtliche Dokumente, Kontroversen-Kennzeichnung wo innerkirchlich unterschiedliche Auslegungstraditionen bestehen, Verwandte-Themen-Vorschläge nach jeder Antwort, Konversations-Historie durchsuchbar, Nutzungshinweis die App ersetzt kein persönliches Gespräch mit einem Priester prominent sichtbar, Feedback-Mechanismus bei fachlich fragwürdigen Antworten, Mehrsprachigkeit optional, GSAP Antwort-Streaming-Animationen - USE CASE: Studierende der Moraltheologie nutzen den Bot zur ersten Orientierung vor der Lektüre von Primärquellen, interessierte Laien erhalten differenzierte statt vereinfachte Antworten auf komplexe ethische Fragen. WICHTIG: der Bot ruft das Sprachmodell ausschließlich über einen serverseitigen Proxy auf, ein clientseitiger API-Key ist ausdrücklich verboten — dies ist die direkte, dokumentierte Lehre aus dem kathbot31/kathbottts-Sicherheitsfund, umgesetzt nach dem Vorbild von kathsafe6.",
        "overview": "baue einen theologischen Frage-Antwort-Bot zu moraltheologischen Themen",
        "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "category_number": 5,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Studierende der Moraltheologie nutzen den Bot zur ersten Orientierung vor der Lektüre von Primärquellen, interessierte Laien erhalten differenzierte statt vereinfachte Antworten auf komplexe ethische Fragen. WICHTIG: der Bot ruft das Sprachmodell ausschließlich über einen serverseitigen Proxy auf, ein clientseitiger API-Key ist ausdrücklich verboten — dies ist die direkte, dokumentierte Lehre aus dem kathbot31/kathbottts-Sicherheitsfund, umgesetzt nach dem Vorbild von kathsafe6.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-345",
        "title": "erstelle einen Bibelstellen-Erklärungs-Assistenten mit Proxy-gesicherter KI",
        "prompt_number": 345,
        "prompt": "erstelle einen Bibelstellen-Erklärungs-Assistenten mit Proxy-gesicherter KI - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe einer Bibelstelle mit KI-generierter Auslegung unter Einbezug patristischer Kommentare, Kontext-Erklärung historischer und literarischer Hintergrund der Stelle, Verweis-Funktion zu verwandten Stellen im Kanon, mehrere Auslegungstraditionen nebeneinander wörtlich/allegorisch/moralisch/anagogisch nach dem vierfachen Schriftsinn, Kirchenväter-Zitat-Einbindung Augustinus/Hieronymus/Chrysostomus zur jeweiligen Stelle, Nachfrage-Chat für vertiefende Fragen zur Auslegung, Quellenangaben transparent nachvollziehbar, Lesezeichen-Sammlung erklärter Stellen, Export der Erklärung als Studienunterlage, Feedback-Mechanismus bei theologischen Unstimmigkeiten, GSAP Erklärungs-Einblend-Animationen - USE CASE: Bibelkreisleiter bereiten Auslegungen mit Rückgriff auf die klassische vierfache Schriftauslegung vor, ernsthafte Laien vertiefen ihr Verständnis schwieriger Bibelstellen über oberflächliche Lesarten hinaus. WICHTIG: alle Anfragen an das Sprachmodell laufen über einen serverseitigen Proxy, niemals über einen im Frontend sichtbaren API-Key — konsequente Umsetzung der Lehre aus dem kathbot31/kathbottts-Fund, wie bereits bei kathsafe6 vorgemacht.",
        "overview": "erstelle einen Bibelstellen-Erklärungs-Assistenten mit Proxy-gesicherter KI",
        "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "category_number": 5,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Bibelkreisleiter bereiten Auslegungen mit Rückgriff auf die klassische vierfache Schriftauslegung vor, ernsthafte Laien vertiefen ihr Verständnis schwieriger Bibelstellen über oberflächliche Lesarten hinaus. WICHTIG: alle Anfragen an das Sprachmodell laufen über einen serverseitigen Proxy, niemals über einen im Frontend sichtbaren API-Key — konsequente Umsetzung der Lehre aus dem kathbot31/kathbottts-Fund, wie bereits bei kathsafe6 vorgemacht.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-346",
        "title": "entwickle einen KI-Gebetsvorschlags-Assistenten für persönliche Lebenslagen",
        "prompt_number": 346,
        "prompt": "entwickle einen KI-Gebetsvorschlags-Assistenten für persönliche Lebenslagen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Eingabe der eigenen Lebenssituation Trauer/Freude/Angst/Dankbarkeit mit KI-Vorschlag passender traditioneller Gebete statt KI-generierter Ersatzgebete, Bibliothek klassischer Gebete als bevorzugte Antwortquelle vor freier KI-Formulierung, transparente Kennzeichnung ob ein Gebetstext traditionell überliefert oder KI-unterstützt zusammengestellt wurde, Verweis auf passende Psalmen zur jeweiligen Stimmungslage, persönliche Gebets-Historie welche Vorschläge genutzt wurden, Feedback-Funktion ob der Vorschlag als hilfreich empfunden wurde, Fürsprecher-Empfehlung passender Heiliger je nach Anliegen, Erinnerungs-Funktion für wiederkehrende Anliegen, Mehrsprachigkeit für Gebetstexte, Offline-Fallback mit vorinstallierter Gebetsbibliothek ohne KI-Anbindung, GSAP sanfte Einblend-Animationen - USE CASE: Menschen in seelischer Not finden rasch ein passendes traditionelles Gebet statt einer unpersönlichen Standardantwort, Seelsorger empfehlen die App als niedrigschwelligen ersten Zugang zum Gebetsschatz der Kirche. WICHTIG: die KI-Komponente läuft ausschließlich über einen serverseitigen Proxy ohne jeglichen API-Key im Client, in direkter Konsequenz aus dem kathbot31/kathbottts-Fund und nach dem sicheren Vorbild von kathsafe6.",
        "overview": "entwickle einen KI-Gebetsvorschlags-Assistenten für persönliche Lebenslagen",
        "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "category_number": 5,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Menschen in seelischer Not finden rasch ein passendes traditionelles Gebet statt einer unpersönlichen Standardantwort, Seelsorger empfehlen die App als niedrigschwelligen ersten Zugang zum Gebetsschatz der Kirche. WICHTIG: die KI-Komponente läuft ausschließlich über einen serverseitigen Proxy ohne jeglichen API-Key im Client, in direkter Konsequenz aus dem kathbot31/kathbottts-Fund und nach dem sicheren Vorbild von kathsafe6.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-347",
        "title": "programmiere einen Apologetik-Trainings-Chatbot zum Einwände-Üben",
        "prompt_number": 347,
        "prompt": "programmiere einen Apologetik-Trainings-Chatbot zum Einwände-Üben - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Simulierte Gesprächspartner-Rolle die typische Einwände gegen den katholischen Glauben vorbringt zum Übungszwecke, Schwierigkeitsgrade von häufigen Alltagsfragen bis zu anspruchsvollen philosophischen Einwänden, Feedback zur eigenen Antwort mit Verweis auf fundierte apologetische Argumentationslinien, Themenbibliothek Gottesbeweise/Theodizee/historische-Jesus-Frage/Kirchengeschichte-Kritik, Punktesystem für überzeugend formulierte Antworten als Lernanreiz, Nachbesprechungs-Modus bessere Formulierung nach eigenem Versuch vorgeschlagen, respektvoller Ton auch bei scharfen Einwänden ausdrücklich vorgegeben, Fortschritts-Tracking geübte Themenbereiche (ApexCharts Radial), Quellen-Verweis zu anerkannter apologetischer Literatur nach jeder Übung, Export eigener Übungsantworten zur Wiederholung, GSAP Dialog-Wechsel-Animationen - USE CASE: Ehrenamtliche in der Glaubensvermittlung üben souveräne Antworten auf kritische Nachfragen vor echten Gesprächen, Religionslehrer bereiten Oberstufenschüler auf kontroverse Diskussionen über den Glauben vor. WICHTIG: der simulierte Gesprächspartner läuft technisch über einen serverseitigen Proxy zum Sprachmodell, ein API-Key im Frontend ist ausgeschlossen — genau die Lehre aus dem dokumentierten kathbot31/kathbottts-Fund, sicher umgesetzt wie bei kathsafe6.",
        "overview": "programmiere einen Apologetik-Trainings-Chatbot zum Einwände-Üben",
        "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "category_number": 5,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Ehrenamtliche in der Glaubensvermittlung üben souveräne Antworten auf kritische Nachfragen vor echten Gesprächen, Religionslehrer bereiten Oberstufenschüler auf kontroverse Diskussionen über den Glauben vor. WICHTIG: der simulierte Gesprächspartner läuft technisch über einen serverseitigen Proxy zum Sprachmodell, ein API-Key im Frontend ist ausgeschlossen — genau die Lehre aus dem dokumentierten kathbot31/kathbottts-Fund, sicher umgesetzt wie bei kathsafe6.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-348",
        "title": "baue einen Kirchenrecht-Frage-Bot zum Codex Iuris Canonici",
        "prompt_number": 348,
        "prompt": "baue einen Kirchenrecht-Frage-Bot zum Codex Iuris Canonici - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface zu Fragen des kirchlichen Rechts mit Verweis auf die jeweils einschlägigen Canones, Themenbereiche Ehe-und-Eherecht/Sakramentenrecht/Kirchliches-Strafrecht/Verfahrensrecht strukturiert, klare Kennzeichnung wann eine Frage anwaltliche beziehungsweise offizielle bischöfliche Klärung erfordert, Zitierfunktion mit korrekter Canon-Nummerierung, Verwandte-Canones-Vorschläge nach jeder Antwort, Fallbeispiel-Bibliothek anonymisierter typischer Anfragen zur Veranschaulichung, Glossar kirchenrechtlicher Fachbegriffe, Konversations-Export für die eigene Weiterbearbeitung mit einem Kirchenrechtler, Feedback-Mechanismus bei fachlichen Unstimmigkeiten, Mehrsprachigkeit für lateinische Fachtermini mit Übersetzung, GSAP Antwort-Streaming-Animationen - USE CASE: Pfarrsekretäre erhalten eine erste Orientierung zu kirchenrechtlichen Standardfragen etwa im Eheprozess, Kirchenrecht-Studierende nutzen den Bot zur Vertiefung mit korrekten Canon-Verweisen. WICHTIG: alle Sprachmodell-Aufrufe erfolgen über einen serverseitigen Proxy, niemals über einen im Client hinterlegten API-Key — die direkte technische Lehre aus dem kathbot31/kathbottts-Fund, sauber gelöst analog zu kathsafe6.",
        "overview": "baue einen Kirchenrecht-Frage-Bot zum Codex Iuris Canonici",
        "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "category_number": 5,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarrsekretäre erhalten eine erste Orientierung zu kirchenrechtlichen Standardfragen etwa im Eheprozess, Kirchenrecht-Studierende nutzen den Bot zur Vertiefung mit korrekten Canon-Verweisen. WICHTIG: alle Sprachmodell-Aufrufe erfolgen über einen serverseitigen Proxy, niemals über einen im Client hinterlegten API-Key — die direkte technische Lehre aus dem kathbot31/kathbottts-Fund, sauber gelöst analog zu kathsafe6.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-349",
        "title": "erstelle einen Familiengebets-KI-Assistenten zur gemeinsamen Andachtsplanung",
        "prompt_number": 349,
        "prompt": "erstelle einen Familiengebets-KI-Assistenten zur gemeinsamen Andachtsplanung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KI-gestützte Vorschläge für altersgerechte Familienandachten je nach Kinderalter und Kirchenjahreszeit, Themenbibliothek Adventskranz-Andacht/Tischgebet-Varianten/Abendgebet-für-Kinder als bevorzugte Quelle vor freier KI-Formulierung, Interaktive Erstellung eines individuellen Wochenplans für Familiengebet, Verweis auf altersgerechte Bibelgeschichten passend zum jeweiligen Sonntag, Feedback-Funktion der Kinder wie das Gebet ankam als Emoji-Bewertung, Erinnerungs-Funktion für die vereinbarte Gebetszeit, Vorlagen-Bibliothek für besondere Anlässe Geburtstag/Krankheit/Trauerfall in der Familie, Mehrsprachigkeits-Option für binationale Familien, Offline-Vorlagen-Fallback ohne KI-Anbindung verfügbar, Transparenz-Hinweis welche Inhalte KI-unterstützt und welche traditionell überliefert sind, GSAP kindgerechte verspielte Animationen - USE CASE: Familien gestalten das gemeinsame Gebet abwechslungsreich altersgerecht statt immer dieselbe Formel zu wiederholen, Pfarreien empfehlen die App jungen Familien zur Stärkung der häuslichen Glaubenspraxis. WICHTIG: die KI-Funktion läuft ausschließlich über einen serverseitigen Proxy, ein API-Key wird nie im Browser gespeichert — konsequent umgesetzt nach der Lehre aus dem kathbot31/kathbottts-Fund und dem sicheren Muster von kathsafe6.",
        "overview": "erstelle einen Familiengebets-KI-Assistenten zur gemeinsamen Andachtsplanung",
        "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "category_number": 5,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Familien gestalten das gemeinsame Gebet abwechslungsreich altersgerecht statt immer dieselbe Formel zu wiederholen, Pfarreien empfehlen die App jungen Familien zur Stärkung der häuslichen Glaubenspraxis. WICHTIG: die KI-Funktion läuft ausschließlich über einen serverseitigen Proxy, ein API-Key wird nie im Browser gespeichert — konsequent umgesetzt nach der Lehre aus dem kathbot31/kathbottts-Fund und dem sicheren Muster von kathsafe6.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-350",
        "title": "entwickle einen RCIA-Vorbereitungs-Chatbot für Taufbewerber",
        "prompt_number": 350,
        "prompt": "entwickle einen RCIA-Vorbereitungs-Chatbot für Taufbewerber - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface für Fragen von Katechumenen und Taufbewerbern zu Glaubensinhalten und dem Ablauf der Eingliederung, strukturierte Begleitung entlang der klassischen RCIA-Phasen Anfrage/Katechumenat/Erleuchtung/Mystagogie, persönlicher Fragen-Verlauf während der gesamten Vorbereitungszeit, Verweis auf passende Katechismus-Abschnitte zu gestellten Fragen, Terminübersicht der Riten während des Katechumenats Aufnahme/Skrutinien/Osternacht-Taufe, Austauschmöglichkeit mit dem eigenen Paten-Kontakt außerhalb der KI, Fortschritts-Tracking durch die Vorbereitungsphasen (ApexCharts Stepper), Feedback-Mechanismus bei unklaren oder fachlich fragwürdigen Antworten, klare Kennzeichnung dass die App die persönliche Begleitung durch Priester und Katecheten ergänzt statt ersetzt, GSAP Phasen-Fortschritts-Animationen - USE CASE: Erwachsene auf dem Weg zur Taufe oder vollen Aufnahme in die Kirche klären Verständnisfragen niedrigschwellig zwischen den Katechumenats-Treffen, Gemeindekatecheten entlasten die persönliche Begleitung durch eine gut dokumentierte KI-Ergänzung. WICHTIG: sämtliche KI-Aufrufe laufen über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt die Konsequenz aus dem im eigenen Bestand dokumentierten kathbot31/kathbottts-Sicherheitsfund, so wie es kathsafe6 bereits vorbildlich löst. ## Kategorie 6: HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "overview": "entwickle einen RCIA-Vorbereitungs-Chatbot für Taufbewerber",
        "category": "KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)",
        "category_number": 5,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Erwachsene auf dem Weg zur Taufe oder vollen Aufnahme in die Kirche klären Verständnisfragen niedrigschwellig zwischen den Katechumenats-Treffen, Gemeindekatecheten entlasten die persönliche Begleitung durch eine gut dokumentierte KI-Ergänzung. WICHTIG: sämtliche KI-Aufrufe laufen über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt die Konsequenz aus dem im eigenen Bestand dokumentierten kathbot31/kathbottts-Sicherheitsfund, so wie es kathsafe6 bereits vorbildlich löst. ## Kategorie 6: HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-351",
        "title": "erstelle einen Heiligen-Biografie-Explorer mit Patronats-Suche",
        "prompt_number": 351,
        "prompt": "erstelle einen Heiligen-Biografie-Explorer mit Patronats-Suche - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbare Heiligen-Datenbank mit Lebensdaten/Herkunft/Ordenszugehörigkeit, Patronats-Suchfunktion welcher Heilige für welchen Berufsstand oder welches Anliegen zuständig ist, Zeitepochen-Filter Urkirche/Mittelalter/Neuzeit/Moderne, Kanonisierungsprozess-Erklärung Seligsprechung versus Heiligsprechung mit Ablaufschema, Wunder-Dokumentation soweit offiziell anerkannt mit Quellenangabe, Ikonografie-Erklärung typische Attribute in der Kunstdarstellung, Verwandte-Heilige-Vorschläge gleicher Orden oder gleiches Jahrhundert, Namenstag-Kalender-Verknüpfung, Zitat-Sammlung überlieferter Aussprüche, Favoriten-Liste eigener Namenspatrone und Fürsprecher, Export Heiligen-Steckbrief als PDF, GSAP Biografie-Karten-Animationen - USE CASE: Gläubige finden gezielt einen passenden Fürsprecher für ein bestimmtes Lebensanliegen, Katecheten bereiten Namenstagsfeiern mit fundiertem biografischem Hintergrundwissen vor.",
        "overview": "erstelle einen Heiligen-Biografie-Explorer mit Patronats-Suche",
        "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "category_number": 6,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige finden gezielt einen passenden Fürsprecher für ein bestimmtes Lebensanliegen, Katecheten bereiten Namenstagsfeiern mit fundiertem biografischem Hintergrundwissen vor.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-352",
        "title": "entwickle eine Kirchengeschichte-Zeitleiste von der Urkirche bis heute",
        "prompt_number": 352,
        "prompt": "entwickle eine Kirchengeschichte-Zeitleiste von der Urkirche bis heute - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Interaktive Zeitleiste über zwei Jahrtausende mit Epochen-Einteilung Verfolgungszeit/Konstantinische-Wende/Mittelalter/Reformation/Moderne (D3.js Timeline), Klick-Vertiefung zu Schlüsselereignissen mit Quellenangabe, Konzilien-Markierungen entlang der Zeitleiste mit direkter Verlinkung, Päpste-Zuordnung welcher Papst zu welcher Epoche amtierte, Schisma-und-Einheits-Ereignisse Ost-West-Schisma-1054 und Reformation-1517 mit historischer Einordnung, Missions-Ausbreitungs-Karten-Verweis pro Epoche, Ordensgründungen entlang der Zeitleiste markiert, Verfolgungs-und-Martyrium-Perioden mit Zahlen soweit historisch belegt, Filterfunktion nach Region oder Themenschwerpunkt, Export einzelner Epochen als Unterrichtsmaterial, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Religionslehrer vermitteln die zweitausendjährige Kirchengeschichte anschaulich im Gesamtzusammenhang statt in isolierten Einzelstunden, Geschichtsinteressierte Laien verschaffen sich einen fundierten chronologischen Überblick.",
        "overview": "entwickle eine Kirchengeschichte-Zeitleiste von der Urkirche bis heute",
        "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "category_number": 6,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Religionslehrer vermitteln die zweitausendjährige Kirchengeschichte anschaulich im Gesamtzusammenhang statt in isolierten Einzelstunden, Geschichtsinteressierte Laien verschaffen sich einen fundierten chronologischen Überblick.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-353",
        "title": "programmiere einen Martyrologium-Kalender mit Tagesgedenken",
        "prompt_number": 353,
        "prompt": "programmiere einen Martyrologium-Kalender mit Tagesgedenken - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle Anzeige der im römischen Martyrologium verzeichneten Märtyrer und Heiligen des Tages, historischer Hintergrund zum Martyrium mit Ort und Umständen soweit überliefert, Verfolgungsperioden-Zuordnung Römische-Verfolgung/Reformationszeit/Moderne-Verfolgung, Filterfunktion nach Jahrhundert oder Region, Gedenktag-Erinnerungs-Funktion für persönlich bedeutsame Märtyrer, Zitat-Sammlung letzter überlieferter Worte soweit dokumentiert, Vergleichs-Statistik Anzahl verzeichneter Märtyrer pro Jahrhundert (ApexCharts Balken), Bildungsmaterial-Export für den Religionsunterricht, Verwandte-Märtyrer-Gruppen gemeinsam hingerichtete Gruppen zusammengefasst, moderne Märtyrer-Sektion mit Bezug auf das 20. und 21. Jahrhundert, Suchfunktion nach Namen oder Ort, GSAP Tagesgedenken-Einblend-Animationen - USE CASE: Pfarreien gestalten Gedenkgottesdienste mit historisch fundiertem Hintergrundwissen zu den Tagesmärtyrern, Geschichtsinteressierte erschließen sich systematisch die Verfolgungsgeschichte des Christentums über die Jahrhunderte.",
        "overview": "programmiere einen Martyrologium-Kalender mit Tagesgedenken",
        "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "category_number": 6,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien gestalten Gedenkgottesdienste mit historisch fundiertem Hintergrundwissen zu den Tagesmärtyrern, Geschichtsinteressierte erschließen sich systematisch die Verfolgungsgeschichte des Christentums über die Jahrhunderte.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-354",
        "title": "baue ein Geschichtsarchiv bedeutender Wallfahrtsorte",
        "prompt_number": 354,
        "prompt": "baue ein Geschichtsarchiv bedeutender Wallfahrtsorte - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historische Entstehungsgeschichte bedeutender Wallfahrtsorte Lourdes/Fatima/Santiago-de-Compostela/Altötting mit belegtem Erscheinungs- oder Gründungskontext, kirchliche Anerkennungsgeschichte des jeweiligen Ortes mit Datum, Wallfahrts-Entwicklung über die Jahrhunderte Besucherzahlen-Verlauf soweit dokumentiert (ApexCharts Line), architekturgeschichtliche Entwicklung der Wallfahrtskirche, bedeutende Papstbesuche am jeweiligen Ort chronologisch, Legenden-versus-historisch-belegte-Fakten transparent unterschieden, Reliquien-und-Gnadenbild-Beschreibung, Vergleichs-Ansicht mehrerer Wallfahrtsorte nebeneinander, Zitat-Sammlung bedeutender Wallfahrer-Berichte, Bildungsmaterial-Export, GSAP historische Zeitleisten-Animationen - USE CASE: Geschichtsinteressierte Pilger vertiefen ihr Verständnis für die historische Entwicklung eines Wallfahrtsortes vor dem eigenen Besuch, Reiseleiter kirchlicher Gruppenreisen bereiten fundierte historische Erläuterungen für Wallfahrtsgruppen vor.",
        "overview": "baue ein Geschichtsarchiv bedeutender Wallfahrtsorte",
        "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "category_number": 6,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Geschichtsinteressierte Pilger vertiefen ihr Verständnis für die historische Entwicklung eines Wallfahrtsortes vor dem eigenen Besuch, Reiseleiter kirchlicher Gruppenreisen bereiten fundierte historische Erläuterungen für Wallfahrtsgruppen vor.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-355",
        "title": "erstelle einen Konzilsgeschichte-Visualizer von Nicäa bis zum Zweiten Vatikanum",
        "prompt_number": 355,
        "prompt": "erstelle einen Konzilsgeschichte-Visualizer von Nicäa bis zum Zweiten Vatikanum - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Chronologische Übersicht aller 21 ökumenischen Konzilien mit Ort/Jahr/Hauptthema, Vertiefungs-Ansicht pro Konzil zentrale Beschlüsse und deren Bedeutung, Nicäa-325-Schwerpunkt Homousios-Formel und Trinitätslehre verständlich erklärt, Trient-Schwerpunkt Reaktion auf die Reformation mit zentralen Dekreten, Vatikanum-I-und-II-Vergleich Unfehlbarkeitsdogma und pastorale Öffnung gegenübergestellt, Teilnehmerzahlen-Entwicklung über die Jahrhunderte (ApexCharts Balken), Streitfragen-Sektion pro Konzil welche Positionen diskutiert und welche verworfen wurden, Rezeptionsgeschichte wie Konzilsbeschlüsse in der Kirche aufgenommen wurden, Glossar konziliarer Fachbegriffe Dogma/Kanon/Dekret, Quellenangaben zu den Originaltexten, GSAP Konzils-Zeitleisten-Animationen - USE CASE: Theologiestudierende erarbeiten sich einen strukturierten Überblick über die Konzilsgeschichte für Prüfungen, Katecheten erklären interessierten Laien die Entwicklung zentraler Glaubenslehren anhand der Konzilsgeschichte nachvollziehbar.",
        "overview": "erstelle einen Konzilsgeschichte-Visualizer von Nicäa bis zum Zweiten Vatikanum",
        "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "category_number": 6,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Theologiestudierende erarbeiten sich einen strukturierten Überblick über die Konzilsgeschichte für Prüfungen, Katecheten erklären interessierten Laien die Entwicklung zentraler Glaubenslehren anhand der Konzilsgeschichte nachvollziehbar.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-356",
        "title": "entwickle einen Ordensgeschichte-Tracker religiöser Gemeinschaften",
        "prompt_number": 356,
        "prompt": "entwickle einen Ordensgeschichte-Tracker religiöser Gemeinschaften - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Datenbank bedeutender Ordensgemeinschaften Benediktiner/Franziskaner/Dominikaner/Jesuiten mit Gründungsjahr und Gründergestalt, Ordensregel-Kurzvergleich Benediktinerregel-Ora-et-Labora versus franziskanisches Armutsideal versus jesuitische Exerzitien-Spiritualität, Ausbreitungs-Zeitleiste pro Orden über die Jahrhunderte, Reformbewegungen-innerhalb-der-Orden zum Beispiel Zisterzienser als Benediktiner-Reform, Charismen-Vergleich Kontemplation/Bildung/Mission/Predigt pro Ordensfamilie, bedeutende Ordensmitglieder-Verweis zu zugehörigen Heiligen, heutige Präsenz-Übersicht Mitgliederzahlen-Entwicklung soweit dokumentiert (ApexCharts Line), Kloster-Architektur-Merkmale pro Ordenstradition, Suchfunktion nach Orden oder Gründungsjahrhundert, Vergleichstabelle mehrerer Orden nebeneinander, GSAP Ordens-Zeitleisten-Animationen - USE CASE: Studierende der Kirchengeschichte verschaffen sich einen systematischen Überblick über die Vielfalt religiöser Gemeinschaften, an Ordensberufung Interessierte informieren sich fundiert über Charisma und Geschichte verschiedener Ordensfamilien.",
        "overview": "entwickle einen Ordensgeschichte-Tracker religiöser Gemeinschaften",
        "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "category_number": 6,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Studierende der Kirchengeschichte verschaffen sich einen systematischen Überblick über die Vielfalt religiöser Gemeinschaften, an Ordensberufung Interessierte informieren sich fundiert über Charisma und Geschichte verschiedener Ordensfamilien.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-357",
        "title": "programmiere einen Katakomben-und-Frühchristentum-Explorer",
        "prompt_number": 357,
        "prompt": "programmiere einen Katakomben-und-Frühchristentum-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übersicht bedeutender römischer Katakomben Calixtus/Domitilla/Priscilla mit historischem Entstehungskontext, frühchristliche Symbolik-Erklärung Fisch-Ichthys/Anker/Guter-Hirte mit Bedeutungshintergrund, Verfolgungsperioden-Zeitleiste unter verschiedenen römischen Kaisern, archäologische Fundstücke-Beschreibung Inschriften und Grabmalereien, Alltagsleben-der-Urkirche-Sektion Hausgemeinden und geheime Zusammenkünfte, Konstantinische-Wende-Erklärung Mailänder-Vereinbarung-313 und deren Folgen, Vergleich frühchristlicher versus späterer kirchlicher Kunst, Glossar frühchristlicher Fachbegriffe, virtuelle-Rundgang-Beschreibung Mockup durch eine Katakombe mit Stationen, Quellenangaben zu archäologischen und patristischen Belegen, GSAP Katakomben-Rundgang-Animationen - USE CASE: Geschichtsinteressierte erschließen sich anschaulich das Leben der Urkirche vor der Konstantinischen Wende, Pilger nach Rom bereiten den Besuch der Katakomben mit fundiertem historischem Hintergrundwissen vor.",
        "overview": "programmiere einen Katakomben-und-Frühchristentum-Explorer",
        "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "category_number": 6,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Geschichtsinteressierte erschließen sich anschaulich das Leben der Urkirche vor der Konstantinischen Wende, Pilger nach Rom bereiten den Besuch der Katakomben mit fundiertem historischem Hintergrundwissen vor.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-358",
        "title": "baue eine Päpste-Chronik mit vollständiger Zeitleiste",
        "prompt_number": 358,
        "prompt": "baue eine Päpste-Chronik mit vollständiger Zeitleiste - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Chronologische Liste aller Päpste von Petrus bis zur Gegenwart mit Pontifikatsdauer, Amtszeit-Statistik längste und kürzeste Pontifikate im Vergleich (ApexCharts Balken), historische Einordnung jedes Pontifikats in seine Epoche, Gegenpapst-Kennzeichnung Zeiten des Abendländischen Schismas transparent erklärt, thematische Filterung Reform-Päpste/Konzils-Päpste/Missions-Päpste, Enzykliken-Verweis zu bedeutenden Lehrschreiben pro Papst, Wahlverfahren-Erklärung Konklave-Ablauf mit historischer Entwicklung, Herkunfts-Statistik geografische Verteilung der Päpste über die Jahrhunderte, Suchfunktion nach Name oder Jahrhundert, Vergleichsansicht zweier Pontifikate nebeneinander, GSAP Papst-Portrait-Zeitleisten-Animationen - USE CASE: Geschichtsinteressierte verschaffen sich einen strukturierten Überblick über zweitausend Jahre Papstgeschichte, Religionslehrer nutzen die Chronik zur Veranschaulichung der ununterbrochenen apostolischen Sukzession im Unterricht.",
        "overview": "baue eine Päpste-Chronik mit vollständiger Zeitleiste",
        "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "category_number": 6,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Geschichtsinteressierte verschaffen sich einen strukturierten Überblick über zweitausend Jahre Papstgeschichte, Religionslehrer nutzen die Chronik zur Veranschaulichung der ununterbrochenen apostolischen Sukzession im Unterricht.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-359",
        "title": "erstelle ein Studientool zu den großen Kirchenvätern",
        "prompt_number": 359,
        "prompt": "erstelle ein Studientool zu den großen Kirchenvätern - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Profile bedeutender Kirchenväter Augustinus/Ambrosius/Hieronymus/Chrysostomus/Gregor-der-Große mit Lebensdaten und theologischem Schwerpunkt, Kernwerke-Übersicht pro Kirchenvater mit Kurzzusammenfassung, Zitat-Sammlung bekannter Aussprüche mit Quellenangabe, Ost-West-Kennzeichnung griechische versus lateinische Kirchenväter mit jeweiligem theologischem Akzent, Einfluss-Netzwerk-Visualisierung wer wen theologisch beeinflusst hat (D3.js Graph), Lehramtliche-Rezeption-Sektion wie Kirchenväter-Aussagen in spätere Konzilsentscheidungen einflossen, Lesehilfe-Auszüge aus Originalwerken mit Erläuterung, Vergleichstabelle theologischer Positionen zu zentralen Streitfragen, Suchfunktion nach Thema oder Kirchenvater, Studienplan-Vorschlag für eine systematische Kirchenväter-Lektüre, GSAP Portrait-Karten-Animationen - USE CASE: Theologiestudierende bereiten sich mit strukturiertem Grundwissen auf patristische Seminare vor, ernsthafte Laien vertiefen ihr Verständnis der frühen Kirche über die Lehre der Kirchenväter.",
        "overview": "erstelle ein Studientool zu den großen Kirchenvätern",
        "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "category_number": 6,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Theologiestudierende bereiten sich mit strukturiertem Grundwissen auf patristische Seminare vor, ernsthafte Laien vertiefen ihr Verständnis der frühen Kirche über die Lehre der Kirchenväter.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-360",
        "title": "entwickle ein Dokumentationsarchiv zu Reliquien und anerkannten Wundern",
        "prompt_number": 360,
        "prompt": "entwickle ein Dokumentationsarchiv zu Reliquien und anerkannten Wundern - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Übersicht bedeutender Reliquien mit Aufbewahrungsort und Echtheits-Diskussionsstand nach kirchlicher Prüfung, Erklärung der Reliquien-Kategorien Erster-Zweiter-Dritter-Grad nach kirchlichem Verständnis, Wunder-Dokumentation im Rahmen von Kanonisierungsprozessen mit dem Ablauf der medizinischen und theologischen Prüfung, bekannte eucharistische Wunder-Sektion mit historischem Prüfungsstand, kritische-und-respektvolle-Darstellung wissenschaftlich ungeklärter Phänomene ohne unseriöse Sensationalisierung, Zeitleiste bedeutender Kanonisierungsprozesse, Glossar der Fachbegriffe Translation/Kultstätte/Authentizitätsprüfung, Quellenangaben zu offiziellen kirchlichen Untersuchungsberichten, Suchfunktion nach Ort oder Heiligem, Bildungsmaterial-Export für interessierte Gruppen, GSAP Dokumentations-Karten-Animationen - USE CASE: Geschichtsinteressierte erschließen sich die kirchliche Prüfpraxis bei Reliquien und Wundern sachlich und differenziert, Wallfahrtsseelsorger nutzen die fundierte Dokumentation zur seriösen Beantwortung von Pilgerfragen vor Ort. ## Kategorie 7: KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "overview": "entwickle ein Dokumentationsarchiv zu Reliquien und anerkannten Wundern",
        "category": "HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)",
        "category_number": 6,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Geschichtsinteressierte erschließen sich die kirchliche Prüfpraxis bei Reliquien und Wundern sachlich und differenziert, Wallfahrtsseelsorger nutzen die fundierte Dokumentation zur seriösen Beantwortung von Pilgerfragen vor Ort. ## Kategorie 7: KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-361",
        "title": "erstelle ein Studientool zum Katechismus der Katholischen Kirche nach den vier Säulen",
        "prompt_number": 361,
        "prompt": "erstelle ein Studientool zum Katechismus der Katholischen Kirche nach den vier Säulen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Gliederung nach den vier Säulen Glaubensbekenntnis/Sakramente/Leben-in-Christus/Gebet mit Randnummern-Navigation, interaktives Inhaltsverzeichnis mit Sprungmarken zu jedem Abschnitt, Zusammenfassung-am-Kapitelende jeweils als kompakte Lernkarte, Querverweis-System zwischen thematisch verwandten Randnummern, persönlicher Lesefortschritt durch den gesamten Katechismus (ApexCharts Kalender-Heatmap), Quiz-Modus nach jedem Kapitel zur Selbstüberprüfung, Glossar-Popover für Fachbegriffe bei Hover, Suchfunktion Volltext mit Ergebnis-Hervorhebung, Randnummern-Lesezeichen für laufende Studienprojekte, Gruppen-Lesevergleich-Mockup für Katechismus-Kreise, Export eigener Notizen pro Abschnitt als PDF, GSAP Kapitel-Übergangs-Animationen - USE CASE: Erwachsene in der Glaubensbildung erarbeiten sich den Katechismus strukturiert statt unsystematisch zu blättern, Katechismus-Kreise in Pfarreien verfolgen gemeinsam den Lesefortschritt durch das gesamte Werk über mehrere Monate.",
        "overview": "erstelle ein Studientool zum Katechismus der Katholischen Kirche nach den vier Säulen",
        "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Erwachsene in der Glaubensbildung erarbeiten sich den Katechismus strukturiert statt unsystematisch zu blättern, Katechismus-Kreise in Pfarreien verfolgen gemeinsam den Lesefortschritt durch das gesamte Werk über mehrere Monate.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-362",
        "title": "entwickle ein scholastisches Summa-Glossar zu zentralen Begriffen der Theologie",
        "prompt_number": 362,
        "prompt": "entwickle ein scholastisches Summa-Glossar zu zentralen Begriffen der Theologie - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Glossar scholastischer Fachbegriffe Substanz/Akzidenz/Transsubstantiation/Analogia-Entis mit verständlicher Erklärung, Struktur-Nachbildung der Summa Theologiae Frage-Einwand-Sed-Contra-Antwort als Lernschema, thematische Verknüpfung zu den fünf Gottesbeweisen des Thomas von Aquin mit Kurzerläuterung jedes Weges, Vergleich scholastischer Begriffe mit heutigem Sprachgebrauch zur besseren Verständlichkeit, Quellenangaben zu den jeweiligen Quästionen der Summa, historische Einordnung der Scholastik im 13. Jahrhundert und ihres Verhältnisses zur aristotelischen Philosophie, Übungsaufgaben Begriff der passenden Definition zuordnen, Suchfunktion über alle Begriffe, Lernkarten-Modus mit Wiederholungsalgorithmus, Verwandte-Begriffe-Netzwerk-Visualisierung (D3.js Graph), GSAP Begriffs-Karten-Animationen - USE CASE: Theologiestudierende erschließen sich die scholastische Fachterminologie systematisch vor der Lektüre der Summa Theologiae im Original, Interessierte Laien nähern sich der thomistischen Philosophie über verständlich aufbereitete Grundbegriffe an.",
        "overview": "entwickle ein scholastisches Summa-Glossar zu zentralen Begriffen der Theologie",
        "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Theologiestudierende erschließen sich die scholastische Fachterminologie systematisch vor der Lektüre der Summa Theologiae im Original, Interessierte Laien nähern sich der thomistischen Philosophie über verständlich aufbereitete Grundbegriffe an.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-363",
        "title": "programmiere einen Firmvorbereitungs-Tracker für Jugendgruppen",
        "prompt_number": 363,
        "prompt": "programmiere einen Firmvorbereitungs-Tracker für Jugendgruppen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Vorbereitungsplan über mehrere Monate mit Themenblöcken Heiliger-Geist/Firmpatron/Sieben-Gaben-des-Geistes, Anwesenheits-Tracking der Gruppentreffen, sieben-Gaben-Erklärung Weisheit/Verstand/Rat/Stärke/Erkenntnis/Frömmigkeit/Gottesfurcht mit alltagsnahen Beispielen, Firmpatron-Auswahl-Hilfe mit Kurzbiografien zur Namensfindung, Sozialprojekt-Dokumentation verpflichtender Praxisanteil vor der Firmung, Elternabend-Terminverwaltung, persönliches Glaubens-Tagebuch während der Vorbereitungszeit, Firmspender-und-Termin-Übersicht, Fortschritts-Anzeige durch alle Vorbereitungsmodule (ApexCharts Stepper), Gruppenleiter-Materialbibliothek Vorlagen für Gruppenstunden, GSAP Modul-Freischalt-Animationen - USE CASE: Firmkatecheten koordinieren die mehrmonatige Vorbereitung mit klarer Struktur und Transparenz für Jugendliche und Eltern, Jugendliche dokumentieren die eigene Glaubensentwicklung während der Firmvorbereitung nachvollziehbar.",
        "overview": "programmiere einen Firmvorbereitungs-Tracker für Jugendgruppen",
        "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Firmkatecheten koordinieren die mehrmonatige Vorbereitung mit klarer Struktur und Transparenz für Jugendliche und Eltern, Jugendliche dokumentieren die eigene Glaubensentwicklung während der Firmvorbereitung nachvollziehbar.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-364",
        "title": "baue ein Erstkommunion-Vorbereitungs-Tool für Kinder und Katecheten",
        "prompt_number": 364,
        "prompt": "baue ein Erstkommunion-Vorbereitungs-Tool für Kinder und Katecheten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kindgerechter Lernpfad zur Eucharistie mit Bildern und einfacher Sprache, Themenblöcke Letztes-Abendmahl/Wandlung/Kommunionempfang altersgerecht erklärt, Malvorlagen-Platzhalter zu biblischen Szenen des Abendmahls, Eltern-Bereich mit Hintergrundinformationen zur Begleitung zuhause, Gruppentreffen-Kalender mit Themenübersicht, kleine Quizfragen nach jedem Themenblock mit Sternebelohnung, Erstbeichte-Vorbereitung als vorgeschalteter Themenblock kindgerecht erklärt, Fortschritts-Sticker-Sammlung durch die Vorbereitungszeit (ApexCharts Radial), Gebete-zum-Auswendiglernen kindgerecht mit Wiederholungsfunktion, Fest-Checkliste für den Tag der Erstkommunion, Erinnerungsalbum-Funktion Fotos und Erinnerungen Mockup-Platzhalter, GSAP kindgerechte verspielte Animationen - USE CASE: Katecheten gestalten die Erstkommunionvorbereitung altersgerecht und strukturiert über das gesamte Vorbereitungsjahr, Eltern begleiten die Glaubensentwicklung ihres Kindes zuhause mit den bereitgestellten Hintergrundinformationen.",
        "overview": "baue ein Erstkommunion-Vorbereitungs-Tool für Kinder und Katecheten",
        "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Katecheten gestalten die Erstkommunionvorbereitung altersgerecht und strukturiert über das gesamte Vorbereitungsjahr, Eltern begleiten die Glaubensentwicklung ihres Kindes zuhause mit den bereitgestellten Hintergrundinformationen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-365",
        "title": "erstelle ein RCIA-Vorbereitungs-Tracker für die Erwachsenentaufe",
        "prompt_number": 365,
        "prompt": "erstelle ein RCIA-Vorbereitungs-Tracker für die Erwachsenentaufe - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Abbildung der vier RCIA-Phasen Anfrage-Katechumenat-Erleuchtung-Mystagogie mit Zeitplan, Themen-Curriculum pro Phase Glaubensgrundlagen/Sakramentenlehre/Kirchenjahr, Riten-Kalender Aufnahme-in-den-Katechumenat/Wahl-Rite/Skrutinien/Taufe-in-der-Osternacht, Paten-Kontakt-Verwaltung pro Taufbewerber, persönliches Glaubens-Tagebuch während der gesamten Vorbereitungszeit, Fortschritts-Dashboard pro Teilnehmer für die begleitenden Katecheten (ApexCharts Stepper), Fragen-Sammlung für Rückfragen an Priester oder Katecheten, Mystagogie-Nachbereitung-Modul für die Zeit nach der Taufe, Gruppentreffen-Terminverwaltung, Zertifikat-Vorbereitung für die Feier der Sakramente, GSAP Phasen-Fortschritts-Animationen - USE CASE: Pfarreien mit RCIA-Programm koordinieren die mehrmonatige Erwachsenenkatechese strukturiert für mehrere Taufbewerber gleichzeitig, Katecheten dokumentieren den individuellen geistlichen Fortschritt jedes Teilnehmers nachvollziehbar.",
        "overview": "erstelle ein RCIA-Vorbereitungs-Tracker für die Erwachsenentaufe",
        "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien mit RCIA-Programm koordinieren die mehrmonatige Erwachsenenkatechese strukturiert für mehrere Taufbewerber gleichzeitig, Katecheten dokumentieren den individuellen geistlichen Fortschritt jedes Teilnehmers nachvollziehbar.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-366",
        "title": "entwickle eine Apologetik-Argumente-Bibliothek nach Themenfeldern",
        "prompt_number": 366,
        "prompt": "entwickle eine Apologetik-Argumente-Bibliothek nach Themenfeldern - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierte Argument-Sammlung zu häufigen Einwänden gegen den katholischen Glauben nach Themenfeldern Gottesbeweise/Bibel-und-Wissenschaft/Kirchengeschichte-Kritik/Sakramentenlehre, jeweils Einwand-Gegenargument-Quellenangabe-Format konsequent durchgehalten, historische Herkunft des jeweiligen Einwands zur Einordnung, Schwierigkeitsgrad-Kennzeichnung Alltagsgespräch versus akademische Diskussion, Verwandte-Argumente-Verknüpfung thematisch zusammenhängender Einwände, Zitat-Sammlung anerkannter Apologeten mit Quellenangabe, Suchfunktion über alle Argumente, persönliche Merkliste häufig gebrauchter Argumentationslinien, respektvoller-Ton-Leitfaden wie Einwände ohne Herabsetzung des Gegenübers beantwortet werden, Übungsmodus eigene Antwort formulieren vor Anzeige der Musterantwort, GSAP Argument-Karten-Animationen - USE CASE: Ehrenamtliche in der Glaubensvermittlung bereiten sich mit einer strukturierten Argumentbibliothek auf kritische Nachfragen vor, Religionslehrer nutzen die Sammlung zur Vorbereitung von Diskussionseinheiten im Oberstufenunterricht.",
        "overview": "entwickle eine Apologetik-Argumente-Bibliothek nach Themenfeldern",
        "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Ehrenamtliche in der Glaubensvermittlung bereiten sich mit einer strukturierten Argumentbibliothek auf kritische Nachfragen vor, Religionslehrer nutzen die Sammlung zur Vorbereitung von Diskussionseinheiten im Oberstufenunterricht.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-367",
        "title": "programmiere ein Moraltheologie-Fallstudien-Tool für Studiengruppen",
        "prompt_number": 367,
        "prompt": "programmiere ein Moraltheologie-Fallstudien-Tool für Studiengruppen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fallbeispiel-Bibliothek zu klassischen moraltheologischen Fragestellungen nach Themenfeldern Gewissensfreiheit/Soziallehre/Bioethik strukturiert, geführte Analyse-Methode nach den Prinzipien der katholischen Moraltheologie objektive-Handlung/subjektive-Umstände/Absicht, Diskussionsfragen pro Fallbeispiel für Gruppenarbeit, Verweis auf einschlägige Katechismus-Abschnitte und lehramtliche Dokumente zu jedem Fall, unterschiedliche-Positionen-innerhalb-der-Moraltheologie transparent dargestellt wo legitime Auslegungsspielräume bestehen, eigene Stellungnahme-Formular vor Anzeige der kirchlichen Position, Fortschritts-Tracking bearbeiteter Fallstudien, Export der Gruppendiskussion als Protokoll, Schwierigkeitsgrad-Filter nach Studiensemester, Quellenverzeichnis pro Fallstudie, GSAP Fallstudien-Karten-Animationen - USE CASE: Theologiestudierende üben die methodische Anwendung moraltheologischer Prinzipien an konkreten Fallbeispielen, Firm- und Ehevorbereitungsgruppen diskutieren ethische Grundfragen strukturiert anhand alltagsnaher Fälle.",
        "overview": "programmiere ein Moraltheologie-Fallstudien-Tool für Studiengruppen",
        "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Theologiestudierende üben die methodische Anwendung moraltheologischer Prinzipien an konkreten Fallbeispielen, Firm- und Ehevorbereitungsgruppen diskutieren ethische Grundfragen strukturiert anhand alltagsnaher Fälle.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-368",
        "title": "baue ein interaktives Erklärtool zur Sakramentenlehre",
        "prompt_number": 368,
        "prompt": "baue ein interaktives Erklärtool zur Sakramentenlehre - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle sieben Sakramente mit verständlicher Erklärung von Materie/Form/Wirkung nach katholischer Sakramententheologie, Einteilung nach Initiationssakramenten/Heilungssakramenten/Dienstsakramenten strukturiert dargestellt, Ex-opere-operato-Prinzip verständlich erklärt für interessierte Laien, Wiederholbarkeit-versus-Einmaligkeit-Erklärung mit dem theologischen Konzept des Charakter Sacramentalis, Vergleichstabelle der sieben Sakramente nach Wirkung und Spendevoraussetzung, historische Entwicklung der Siebenzahl der Sakramente bis zum Konzil von Trient, Quiz-Modus zur Selbstüberprüfung des Verständnisses, Glossar sakramententheologischer Fachbegriffe, Verweis auf passende Katechismus-Randnummern, persönliches Lerntagebuch, GSAP Sakraments-Karten-Animationen - USE CASE: Firmlinge und Taufbewerber verstehen die theologische Struktur der Sakramente über das reine Auswendiglernen hinaus, Katecheten nutzen das Tool zur verständlichen Erklärung komplexer sakramententheologischer Konzepte im Unterricht.",
        "overview": "baue ein interaktives Erklärtool zur Sakramentenlehre",
        "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Firmlinge und Taufbewerber verstehen die theologische Struktur der Sakramente über das reine Auswendiglernen hinaus, Katecheten nutzen das Tool zur verständlichen Erklärung komplexer sakramententheologischer Konzepte im Unterricht.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-369",
        "title": "erstelle einen Vokabeltrainer für Kirchenlatein",
        "prompt_number": 369,
        "prompt": "erstelle einen Vokabeltrainer für Kirchenlatein - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabel-Sammlung zentraler liturgischer und theologischer lateinischer Begriffe mit deutscher Übersetzung, Kategorisierung nach Messordnung/Sakramente/Gebete/Kirchenrecht, Spaced-Repetition-Algorithmus für nachhaltiges Lernen, Aussprache-Hinweis nach kirchlicher Latein-Aussprache-Tradition, ganze-Gebetstexte-Übungsmodus Vaterunser und Ave Maria im lateinischen Original mit Wort-für-Wort-Übersetzung, Deklinations-und-Konjugations-Übungen anhand liturgischer Beispielsätze, Fortschritts-Tracking gelernter Vokabeln (ApexCharts Kalender-Heatmap), Karteikarten-Modus mit Umdreh-Animation, Quiz-Modus mit Multiple-Choice und Freitext, Zertifikat bei abgeschlossenem Grundwortschatz, historische Einordnung warum Latein bis heute liturgische Bedeutung hat, GSAP Karten-Flip-Animationen - USE CASE: Ministranten und Kirchenmusiker lernen die lateinischen Grundbegriffe der Liturgie systematisch, Studierende der katholischen Theologie bereiten sich mit dem liturgischen Grundwortschatz auf das Latinum vor.",
        "overview": "erstelle einen Vokabeltrainer für Kirchenlatein",
        "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Ministranten und Kirchenmusiker lernen die lateinischen Grundbegriffe der Liturgie systematisch, Studierende der katholischen Theologie bereiten sich mit dem liturgischen Grundwortschatz auf das Latinum vor.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-370",
        "title": "entwickle einen Tugendlehre-Tracker für die täglichen Kardinal- und theologischen Tugenden",
        "prompt_number": 370,
        "prompt": "entwickle einen Tugendlehre-Tracker für die täglichen Kardinal- und theologischen Tugenden - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Die vier Kardinaltugenden Klugheit/Gerechtigkeit/Tapferkeit/Mäßigung und die drei theologischen Tugenden Glaube/Hoffnung/Liebe mit verständlicher Erklärung nach klassischer Tugendlehre, tägliche Selbstreflexion welche Tugend heute besonders gefordert war, Wochenrückblick Tugend-Praxis-Diagramm (ApexCharts Radar), thematische Vertiefung pro Tugend mit Bibelstellen-Bezug und Aussagen der Kirchenväter, Gegensatz-Laster-Erklärung zu jeder Tugend nach den Hauptsünden, Vorbild-Heilige pro Tugend als Fürsprecher-Vorschlag, persönliches Wachstums-Tagebuch über mehrere Monate, Erinnerungs-Funktion zur abendlichen Reflexion, Zitat-Rotation klassischer Tugendlehre-Texte von Aristoteles bis Thomas von Aquin, Vergleichsansicht eigene Entwicklung über Zeit, GSAP Tugend-Fortschritts-Animationen - USE CASE: Gläubige arbeiten strukturiert an der eigenen charakterlichen und geistlichen Reifung nach klassischer Tugendlehre, Exerzitienbegleiter nutzen den Tracker als Vorlage für die Reflexionsarbeit während einer Einkehrzeit. ## Kategorie 8: PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "overview": "entwickle einen Tugendlehre-Tracker für die täglichen Kardinal- und theologischen Tugenden",
        "category": "KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige arbeiten strukturiert an der eigenen charakterlichen und geistlichen Reifung nach klassischer Tugendlehre, Exerzitienbegleiter nutzen den Tracker als Vorlage für die Reflexionsarbeit während einer Einkehrzeit. ## Kategorie 8: PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-371",
        "title": "erstelle einen Jakobsweg-Planer für die 3500 Kilometer nach Santiago",
        "prompt_number": 371,
        "prompt": "erstelle einen Jakobsweg-Planer für die 3500 Kilometer nach Santiago - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Routenkarte mit den wichtigsten Jakobsweg-Varianten Camino-Francés/Camino-Portugués/Camino-del-Norte, Etappen-Planer mit Tagesstrecken und Höhenprofil (D3.js), Herbergsverzeichnis-Mockup entlang der Route mit Kapazitätsangabe, Tagesziel-Tracking mit tatsächlich zurückgelegter Distanz, Ausrüstungs-Checkliste speziell für Mehrwochen-Fußpilgerschaft, Pilgerpass-Digital-Ergänzung zur physischen Credencial, Budget-Rechner für Herbergen und Verpflegung über die gesamte Strecke, Etappen-Tagebuch mit Foto-Platzhalter und Reflexionsnotiz, spirituelle-Impulse-pro-Etappe passend zur zurückgelegten Kirche oder Kapelle, Notfallkontakte-und-Gesundheitsinfo-Sektion, Wettervorhersage-Platzhalter für die kommenden Etappen, GSAP Routenfortschritts-Animationen - USE CASE: Pilger planen eine mehrwöchige Fußwallfahrt von mehreren tausend Kilometern strukturiert und realistisch, Pilgerbegleiter und Pfarrgruppen koordinieren gemeinsame Camino-Reisen mit einheitlicher Etappenplanung.",
        "overview": "erstelle einen Jakobsweg-Planer für die 3500 Kilometer nach Santiago",
        "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "category_number": 8,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pilger planen eine mehrwöchige Fußwallfahrt von mehreren tausend Kilometern strukturiert und realistisch, Pilgerbegleiter und Pfarrgruppen koordinieren gemeinsame Camino-Reisen mit einheitlicher Etappenplanung.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-372",
        "title": "entwickle eine interaktive Karte bedeutender Wallfahrtsorte weltweit",
        "prompt_number": 372,
        "prompt": "entwickle eine interaktive Karte bedeutender Wallfahrtsorte weltweit - HTML - TECH: Materialize+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Leaflet-Weltkarte mit den bedeutendsten Marien- und Heiligenwallfahrtsorten Lourdes/Fatima/Guadalupe/Altötting/Loreto, Filterfunktion nach Marienerscheinungsort/Reliquienort/Apostelgrab, Detailinfo pro Ort Gründungsgeschichte/kirchliche Anerkennung/jährliche Pilgerzahl, Routenplanungs-Funktion mehrere Wallfahrtsorte einer Reise verbinden, persönliche Besuchsliste bereits besuchter und geplanter Orte, Ablasshinweise soweit kirchlich verbunden mit dem jeweiligen Ort, Fest-und-Wallfahrtssaison-Kalender pro Ort, Anreise-Hinweise-Mockup nächstgelegener Flughafen oder Bahnhof, Gebetsanliegen-Verknüpfung eigene Anliegen einem geplanten Wallfahrtsort zuordnen, Bildergalerie-Platzhalter pro Wallfahrtsort, Community-Erfahrungsberichte-Mockup anderer Pilger, GSAP Kartenmarker-Animationen - USE CASE: Pilger planen internationale Wallfahrtsreisen mit fundiertem Vorwissen zu den jeweiligen Orten, Reiseveranstalter kirchlicher Gruppenreisen nutzen die Karte zur übersichtlichen Routengestaltung mehrerer Wallfahrtsziele.",
        "overview": "entwickle eine interaktive Karte bedeutender Wallfahrtsorte weltweit",
        "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "category_number": 8,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pilger planen internationale Wallfahrtsreisen mit fundiertem Vorwissen zu den jeweiligen Orten, Reiseveranstalter kirchlicher Gruppenreisen nutzen die Karte zur übersichtlichen Routengestaltung mehrerer Wallfahrtsziele.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-373",
        "title": "programmiere ein Verzeichnis bedeutender Reliquien und Schreine",
        "prompt_number": 373,
        "prompt": "programmiere ein Verzeichnis bedeutender Reliquien und Schreine - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbare Datenbank bedeutender Reliquienschreine mit Aufbewahrungsort und zugehörigem Heiligen, Kategorisierung nach Reliquientyp Körperreliquie/Berührungsreliquie/Kreuzreliquie, historische Translations-Geschichte wie die Reliquie an ihren heutigen Ort gelangte, Öffnungszeiten-und-Zugänglichkeits-Hinweis-Mockup für Pilger, Wallfahrts-Etikette-Erklärung angemessenes Verhalten am Schrein, Verknüpfung zum zugehörigen Heiligen-Profil mit Lebensgeschichte, Fest-und-Verehrungstage-Kalender pro Reliquie, Kartenverweis geografische Lage des Schreins, persönliche Besuchsliste mit Notizfeld, Ähnliche-Schreine-Empfehlung gleicher Heiliger oder Region, Export Reiseliste geplanter Schrein-Besuche, GSAP Schrein-Detail-Animationen - USE CASE: Pilger recherchieren vor einer Reise gezielt erreichbare Reliquienschreine entlang der geplanten Route, Wallfahrtsseelsorger bereiten Gruppenreisen mit fundiertem Hintergrundwissen zu den besuchten Schreinen vor.",
        "overview": "programmiere ein Verzeichnis bedeutender Reliquien und Schreine",
        "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "category_number": 8,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pilger recherchieren vor einer Reise gezielt erreichbare Reliquienschreine entlang der geplanten Route, Wallfahrtsseelsorger bereiten Gruppenreisen mit fundiertem Hintergrundwissen zu den besuchten Schreinen vor.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-374",
        "title": "baue einen Budget-Planer für mehrwöchige Pilgerreisen",
        "prompt_number": 374,
        "prompt": "baue einen Budget-Planer für mehrwöchige Pilgerreisen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kostenkategorien-Planer Herberge/Verpflegung/Ausrüstung/Reisekosten mit Tagesbudget-Vorschlag, Vergleich unterschiedlicher Pilgerwege nach durchschnittlichen Tageskosten Jakobsweg versus Via-Francigena versus Heiliges-Land-Reise, Ausgaben-Tracking während der Reise mit Kategorien-Aufteilung (ApexCharts Donut), Sparziel-Rechner Wochen bis zur benötigten Reisesumme, Notfallreserve-Empfehlung als Prozentsatz des Gesamtbudgets, Währungsumrechner für internationale Pilgerreisen, Herbergstyp-Kostenvergleich Pilgerherberge versus Pension versus Kloster-Gästehaus, Fundraising-Sektion für Pilger die um Unterstützung ihrer Gemeinde bitten, Budget-Historie vergangener Pilgerreisen, Export Budgetplan als PDF, Gruppen-Kostenteilung-Rechner für gemeinsame Wallfahrten, GSAP Budget-Balken-Animationen - USE CASE: Pilger planen mehrwöchige Fußwallfahrten finanziell realistisch ohne böse Überraschungen unterwegs, Pfarreien mit Fundraising-Aktion für Jugendwallfahrten kalkulieren den tatsächlichen Bedarf transparent.",
        "overview": "baue einen Budget-Planer für mehrwöchige Pilgerreisen",
        "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "category_number": 8,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pilger planen mehrwöchige Fußwallfahrten finanziell realistisch ohne böse Überraschungen unterwegs, Pfarreien mit Fundraising-Aktion für Jugendwallfahrten kalkulieren den tatsächlichen Bedarf transparent.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-375",
        "title": "erstelle eine Packlisten-App speziell für Fußwallfahrten",
        "prompt_number": 375,
        "prompt": "erstelle eine Packlisten-App speziell für Fußwallfahrten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Spezialisierte Packlisten-Vorlagen nach Jahreszeit und Streckenlänge kurz-Wochenend-Wallfahrt versus mehrwöchiger Camino, Gewichts-Tracker pro Gepäckstück mit Gesamtgewichts-Warnung bei Überschreitung des empfohlenen Rucksackgewichts, Kategorien-Checkliste Kleidung/Fußpflege/Erste-Hilfe/geistliche-Ausrüstung, spirituelle-Reiseausrüstung-Sektion Taschenbibel/Rosenkranz/Pilgergebetbuch als eigene Kategorie, Wetterabhängige-Anpassungsvorschläge je nach Reisezeit, Erfahrungsberichte-Integration-Mockup was erfahrene Pilger tatsächlich mitnehmen würden, Mehrfachnutzungs-Prinzip-Tipps um Gepäck zu minimieren, persönliche Packliste speicherbar und für Folgereisen wiederverwendbar, Abhak-Funktion während des tatsächlichen Packens, Reisegruppen-Vergleich gemeinsame versus individuelle Ausrüstung, Vergessene-Gegenstände-Historie aus früheren Reisen lernen, GSAP Checklisten-Abhak-Animationen - USE CASE: Erstpilger vermeiden durch die geprüfte Packliste typische Anfängerfehler wie zu schweres Gepäck, erfahrene Pilger optimieren ihre Ausrüstung anhand der gesammelten Erfahrungswerte für die nächste Wallfahrt.",
        "overview": "erstelle eine Packlisten-App speziell für Fußwallfahrten",
        "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "category_number": 8,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Erstpilger vermeiden durch die geprüfte Packliste typische Anfängerfehler wie zu schweres Gepäck, erfahrene Pilger optimieren ihre Ausrüstung anhand der gesammelten Erfahrungswerte für die nächste Wallfahrt.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-376",
        "title": "entwickle ein Koordinationstool für Gruppenwallfahrten",
        "prompt_number": 376,
        "prompt": "entwickle ein Koordinationstool für Gruppenwallfahrten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Teilnehmerverwaltung mit Kontaktdaten und Notfallkontakten für die gesamte Pilgergruppe, gemeinsamer Reiseplan mit Etappen und Übernachtungsorten für alle sichtbar, Aufgabenverteilung Vorbeter/Kassenwart/Erste-Hilfe-Verantwortlicher innerhalb der Gruppe, Kommunikations-Ankündigungs-Bereich für kurzfristige Planänderungen, gemeinsame-Andachtszeiten-Planung Morgengebet und Abendsegen der Gruppe, Kostenteilungs-Rechner für gemeinsam gebuchte Unterkünfte, Teilnehmer-Gesundheitsinformationen vertraulich mit Zugriff nur für Verantwortliche, Foto-Tagebuch-Sammlung der ganzen Gruppe, Feedback-Sammlung nach der Reise für zukünftige Wallfahrten, Notfallplan-Dokumentation bei medizinischen Zwischenfällen, An-und-Abreise-Koordination bei individueller Anreise zum Startpunkt, GSAP Gruppen-Übersichts-Animationen - USE CASE: Pfarreien organisieren größere Gruppenwallfahrten mit vielen Teilnehmern übersichtlich und sicher, Wallfahrtsleiter behalten während der Reise den Überblick über alle organisatorischen Aspekte der Gruppe.",
        "overview": "entwickle ein Koordinationstool für Gruppenwallfahrten",
        "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "category_number": 8,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien organisieren größere Gruppenwallfahrten mit vielen Teilnehmern übersichtlich und sicher, Wallfahrtsleiter behalten während der Reise den Überblick über alle organisatorischen Aspekte der Gruppe.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-377",
        "title": "programmiere einen Basiliken-Tracker für die Rom-Pilgerfahrt",
        "prompt_number": 377,
        "prompt": "programmiere einen Basiliken-Tracker für die Rom-Pilgerfahrt - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Die vier päpstlichen Basiliken Sankt-Peter/Sankt-Paul-vor-den-Mauern/Sankt-Johannes-im-Lateran/Santa-Maria-Maggiore mit historischem Hintergrund, Heilige-Pforte-Erklärung und Jubeljahr-Tradition mit Ablasshinweisen, Besuchs-Tracking welche Basiliken bereits besucht mit Datum, weitere-bedeutende-Kirchen-Roms-Ergänzungsliste Santa-Maria-in-Trastevere und weitere, Katakomben-und-Reliquien-Verweis pro Basilika, Öffnungszeiten-und-Messzeiten-Hinweis-Mockup, historische-Baugeschichte-Zeitleiste pro Basilika von der Konstantinischen Gründung bis zum heutigen Bau, Ablauf-Erklärung für den Durchschreiten der Heiligen Pforte, persönliches Rom-Pilgertagebuch, Routenvorschlag zu Fuß zwischen den vier Basiliken, Gebetsanliegen-Notizfeld pro besuchter Basilika, GSAP Basiliken-Detail-Animationen - USE CASE: Rom-Pilger insbesondere in einem Heiligen Jahr verschaffen sich einen strukturierten Überblick über die vier päpstlichen Basiliken, Wallfahrtsgruppen planen den Basiliken-Rundgang mit fundiertem historischem und spirituellem Hintergrundwissen.",
        "overview": "programmiere einen Basiliken-Tracker für die Rom-Pilgerfahrt",
        "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "category_number": 8,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Rom-Pilger insbesondere in einem Heiligen Jahr verschaffen sich einen strukturierten Überblick über die vier päpstlichen Basiliken, Wallfahrtsgruppen planen den Basiliken-Rundgang mit fundiertem historischem und spirituellem Hintergrundwissen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-378",
        "title": "baue ein Reisetagebuch für Fatima- und Lourdes-Pilgerreisen",
        "prompt_number": 378,
        "prompt": "baue ein Reisetagebuch für Fatima- und Lourdes-Pilgerreisen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Getrennte Sektionen für beide Wallfahrtsorte mit jeweiliger Erscheinungsgeschichte 1917 in Fatima und 1858 in Lourdes, Tagesablauf-Vorlage für typische Pilgerprogramme Kerzenprozession-in-Fatima und Lourdes-Wasserbad-und-Grotte, persönliches Reisetagebuch mit Foto-Platzhalter pro Tag, Gebetsanliegen-Mitbring-Funktion Anliegen von zuhause mit an den Wallfahrtsort nehmen, historische-Seherkinder-Biografien Lucia-Francisco-Jacinta beziehungsweise Bernadette Soubirous, Reflexions-Impulse zur jeweiligen Botschaft der Erscheinungen im kirchlich anerkannten Rahmen, praktische-Hinweise Anreise/Unterkunft/Andachtszeiten-Mockup, Gebetstext-Sammlung Fatima-Gebet und Lourdes-Wallfahrtslied, Souvenir-und-Andenken-Checkliste für zuhause Gebliebene, Rückkehr-Reflexions-Seite geistliche Frucht der Reise festhalten, Export Reisetagebuch als PDF-Andenken, GSAP Tagebuch-Seiten-Animationen - USE CASE: Pilger nach Fatima oder Lourdes dokumentieren ihre spirituelle Reiseerfahrung strukturiert und respektvoll, Wallfahrtsgruppen bereiten sich mit fundiertem Wissen zur jeweiligen Erscheinungsgeschichte auf den Besuch vor.",
        "overview": "baue ein Reisetagebuch für Fatima- und Lourdes-Pilgerreisen",
        "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "category_number": 8,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pilger nach Fatima oder Lourdes dokumentieren ihre spirituelle Reiseerfahrung strukturiert und respektvoll, Wallfahrtsgruppen bereiten sich mit fundiertem Wissen zur jeweiligen Erscheinungsgeschichte auf den Besuch vor.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-379",
        "title": "erstelle einen Reiseplaner für das Heilige Land",
        "prompt_number": 379,
        "prompt": "erstelle einen Reiseplaner für das Heilige Land - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Karte der wichtigsten heiligen Stätten Bethlehem/Nazareth/Jerusalem/See-Genezareth mit biblischem Bezug pro Ort, Via-Dolorosa-Routenplan mit allen 14 Stationen des Kreuzwegs in Jerusalem, Tagesetappen-Vorschlag für eine typische zehn- bis vierzehntägige Reise, biblische-Textstelle-Verknüpfung pro besuchtem Ort direkt aus dem Neuen Testament, historisch-und-heutige-Situation-Erklärung politische Lage sensibel und sachlich dargestellt, interreligiöse-Bedeutung-Hinweis viele Orte sind auch für Judentum und Islam heilig mit respektvoller Erwähnung, Sicherheitshinweise-Mockup aktuelle Reisehinweise, geistliches-Reisetagebuch mit Reflexionsraum pro Station, Gruppenreise-versus-Individualreise-Planungshilfe, Budget-Grobkalkulation für die Region, Andenken-und-Souvenir-Checkliste, GSAP Routenverlauf-Animationen - USE CASE: Pilger ins Heilige Land bereiten eine biblisch fundierte Reiseroute mit direktem Textbezug zu jedem Ort vor, Reiseveranstalter kirchlicher Gruppen strukturieren komplexe mehrtägige Programme mit vielen heiligen Stätten übersichtlich.",
        "overview": "erstelle einen Reiseplaner für das Heilige Land",
        "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "category_number": 8,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pilger ins Heilige Land bereiten eine biblisch fundierte Reiseroute mit direktem Textbezug zu jedem Ort vor, Reiseveranstalter kirchlicher Gruppen strukturieren komplexe mehrtägige Programme mit vielen heiligen Stätten übersichtlich.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-380",
        "title": "entwickle einen digitalen Pilgerpass mit Stempel-Tracker",
        "prompt_number": 380,
        "prompt": "entwickle einen digitalen Pilgerpass mit Stempel-Tracker - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitale Ergänzung zur physischen Credencial mit Ort-und-Datum-Eintrag pro Etappenstempel, Fortschritts-Visualisierung zurückgelegte Kilometer bis Santiago oder zum jeweiligen Zielort (ApexCharts Radial), Mindestdistanz-Tracker zur Erlangung der Compostela-Urkunde 100 Kilometer zu Fuß oder 200 mit dem Fahrrad, Etappen-Historie mit Notizfeld pro Tagesstrecke, Foto-Anhang-Mockup pro Stempel als visuelles Erinnerungsstück, Herbergs-Bewertungs-Funktion für spätere Pilger als Empfehlung, Mehrfach-Pilgerreisen-Verwaltung getrennte Pässe für unterschiedliche Wege im Zeitverlauf, Gemeinschafts-Statistik-Mockup wie viele Pilger denselben Abschnitt gegangen sind, Exportfunktion des digitalen Passes als Andenken-PDF, Motivations-Meilenstein-Benachrichtigung bei erreichten Etappenzielen, Sprachumschaltung für internationale Nutzung, GSAP Stempel-Einschlag-Animationen - USE CASE: Jakobsweg-Pilger dokumentieren ihre Etappen zusätzlich zur physischen Credencial digital und übersichtlich, Wallfahrtsorganisationen nutzen das Konzept als Vorlage für digitale Nachweise bei anderen anerkannten Pilgerwegen. ## Kategorie 9: KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "overview": "entwickle einen digitalen Pilgerpass mit Stempel-Tracker",
        "category": "PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)",
        "category_number": 8,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Jakobsweg-Pilger dokumentieren ihre Etappen zusätzlich zur physischen Credencial digital und übersichtlich, Wallfahrtsorganisationen nutzen das Konzept als Vorlage für digitale Nachweise bei anderen anerkannten Pilgerwegen. ## Kategorie 9: KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-381",
        "title": "erstelle ein digitales Gesangbuch mit liedbezogener Suchfunktion",
        "prompt_number": 381,
        "prompt": "erstelle ein digitales Gesangbuch mit liedbezogener Suchfunktion - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Liederdatenbank nach dem Vorbild des Gotteslob mit Liednummer/Text/Strophenzahl, Suchfunktion nach Titel/Anfangszeile/liturgischem-Anlass, Kategorisierung Advent/Weihnachten/Fastenzeit/Ostern/Marienlieder/Kommunionlieder, Textanzeige mit Strophenweise-Scroll-Synchronisation, Noten-Platzhalter-Anzeige zur jeweiligen Melodie, Tonart-und-Vierstimmigkeits-Hinweis für Chor- und Orgelgebrauch, persönliche Liedmerkliste für kommende Gottesdienste, Liedvorschlags-Funktion passend zur liturgischen Lesung des Sonntags, Strophen-Auswahl-Funktion bei zu kürzenden Liedern für den Gottesdienst, Kirchenlieder-Geschichte-Kurzinfo zu bekannten Liedern und deren Entstehung, Offline-Verfügbarkeit für Kirchenräume ohne Netz, GSAP Strophen-Scroll-Animationen - USE CASE: Kirchenmusiker und Organisten wählen passende Lieder schnell und liturgisch korrekt zugeordnet aus, Gemeinden nutzen die digitale Version als Ergänzung zum gedruckten Gesangbuch bei größeren Veranstaltungen.",
        "overview": "erstelle ein digitales Gesangbuch mit liedbezogener Suchfunktion",
        "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "category_number": 9,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Kirchenmusiker und Organisten wählen passende Lieder schnell und liturgisch korrekt zugeordnet aus, Gemeinden nutzen die digitale Version als Ergänzung zum gedruckten Gesangbuch bei größeren Veranstaltungen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-382",
        "title": "entwickle eine App für die täglichen Messlesungen mit Kommentar",
        "prompt_number": 382,
        "prompt": "entwickle eine App für die täglichen Messlesungen mit Kommentar - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Tagesaktuelle erste-Lesung/Antwortpsalm/zweite-Lesung/Evangelium nach korrektem Lesejahr und Wochentagslesejahr, kurzer geistlicher Impuls pro Tag zu den Lesungen, Antwortpsalm-mit-Kehrvers zur Mitfeier vorbereitet, Vorlese-Übungsmodus für Lektoren mit Betonungshinweisen, wöchentliche-Vorausschau kommende Sonntagslesungen zur Predigtvorbereitung, persönliches Lese-Tagebuch mit täglicher Reflexionsnotiz, Erinnerungs-Benachrichtigung zur täglichen Schriftlesung, Archiv-Funktion vergangene Tageslesungen nachschlagen, Fest-und-Gedenktags-Sonderlesungen automatisch eingeblendet, Export der Tageslesung als druckbare Karte für den Ambo, Sprachumschaltung für mehrsprachige Gemeinden, GSAP Lesungs-Einblend-Animationen - USE CASE: Gläubige begleiten das tägliche Kirchenjahr mit den offiziellen Messlesungen auch ohne täglichen Gottesdienstbesuch, Lektoren üben den Vortrag der kommenden Lesungen mit den bereitgestellten Betonungshinweisen.",
        "overview": "entwickle eine App für die täglichen Messlesungen mit Kommentar",
        "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "category_number": 9,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige begleiten das tägliche Kirchenjahr mit den offiziellen Messlesungen auch ohne täglichen Gottesdienstbesuch, Lektoren üben den Vortrag der kommenden Lesungen mit den bereitgestellten Betonungshinweisen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-383",
        "title": "programmiere einen Chorproben-Planer für Kirchenchöre",
        "prompt_number": 383,
        "prompt": "programmiere einen Chorproben-Planer für Kirchenchöre - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Probenplan-Kalender mit Terminen und geplantem Repertoire pro Probe, Stimmgruppen-Verwaltung Sopran/Alt/Tenor/Bass mit Anwesenheitstracking, Repertoire-Bibliothek mit Schwierigkeitsgrad und liturgischem Einsatzanlass, Probeneinteilung-nach-Stimme separate Übungsabschnitte je Stimmgruppe, Auftritts-Kalender kommende Gottesdienste mit zugeordnetem Programm, Notenmaterial-Verwaltung-Mockup digitale Ablage nach Stück, Vertretungs-Anfrage-Funktion bei Verhinderung einzelner Sänger, Probenfortschritt-pro-Stück-Tracking bereit-für-Aufführung-Status (ApexCharts Radial), Neue-Mitglieder-Einarbeitungs-Checkliste, Feedback-Sammlung nach Proben zur Verbesserung, Erinnerungs-Benachrichtigung vor jeder Probe, GSAP Probenplan-Übersichts-Animationen - USE CASE: Kirchenchorleiter organisieren regelmäßige Proben mit klarer Repertoire-Zuordnung zu kommenden Gottesdiensten, Chormitglieder behalten den Überblick über Probentermine und den eigenen Einstudierungsstand.",
        "overview": "programmiere einen Chorproben-Planer für Kirchenchöre",
        "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "category_number": 9,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Kirchenchorleiter organisieren regelmäßige Proben mit klarer Repertoire-Zuordnung zu kommenden Gottesdiensten, Chormitglieder behalten den Überblick über Probentermine und den eigenen Einstudierungsstand.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-384",
        "title": "baue ein Lerntool für gregorianischen Choral mit Neumenkunde",
        "prompt_number": 384,
        "prompt": "baue ein Lerntool für gregorianischen Choral mit Neumenkunde - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Einführung in die Neumenschrift mit Erklärung der wichtigsten Zeichen Punctum/Virga/Podatus/Clivis, interaktive Übungen Neumen einer bekannten Melodie zuordnen, Kirchentonarten-Erklärung die acht Modi mit hörbarem Beispiel-Mockup, bekannte-Gesänge-Bibliothek Kyrie/Gloria/Sanctus/Agnus-Dei in verschiedenen gregorianischen Vertonungen, historische Einführung Ursprung im benediktinischen Mönchtum und die Reform durch Solesmes, Rhythmus-Prinzipien-Erklärung nach der klassischen Choral-Ictus-Lehre, Übungsmodus Melodieverlauf nach Neumen mitsingen mit Metronom-Mockup, Fortschritts-Tracking gelernter Gesänge (ApexCharts Radial), Vergleich gregorianischer versus mehrstimmiger Vertonung desselben Textes, Glossar choralspezifischer Fachbegriffe, GSAP Neumen-Einblend-Animationen - USE CASE: Kirchenmusiker und Scholae-Mitglieder erlernen die Grundlagen der Neumenschrift systematisch, Chorleiter nutzen das Tool zur Einführung neuer Sänger in die gregorianische Gesangstradition.",
        "overview": "baue ein Lerntool für gregorianischen Choral mit Neumenkunde",
        "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "category_number": 9,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Kirchenmusiker und Scholae-Mitglieder erlernen die Grundlagen der Neumenschrift systematisch, Chorleiter nutzen das Tool zur Einführung neuer Sänger in die gregorianische Gesangstradition.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-385",
        "title": "erstelle eine Feiertag-Erinnerungs-App für das komplette Kirchenjahr",
        "prompt_number": 385,
        "prompt": "erstelle eine Feiertag-Erinnerungs-App für das komplette Kirchenjahr - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiger Festkalender mit Hochfesten/Festen/gebotenen-Feiertagen automatisch aus dem Kirchenjahr abgeleitet, gestaffelte Vorab-Erinnerung eine Woche und einen Tag vor wichtigen Festen, regionale-Unterschiede-Berücksichtigung gebotene Feiertage variieren je nach Land und Diözese, Vorbereitungs-Impulse pro Fest liturgische und geistliche Hintergrundinformation, Familientraditionen-Vorschläge passend zum jeweiligen Fest, Fastentage-Kennzeichnung Aschermittwoch und Karfreitag besonders hervorgehoben, Namenstag-Integration eigene und Familien-Namenstage automatisch im Kalender, Export als iCal-kompatible Datei für persönliche Kalender-Apps, Feiertagsgeschichte-Kurzinfo zu jedem Fest, Kirchenjahr-Countdown-Widget bis zum nächsten wichtigen Fest, Mehrsprachigkeit für internationale Gemeinden, GSAP Festtags-Ankündigungs-Animationen - USE CASE: Gläubige verpassen keine wichtigen kirchlichen Feste mehr durch die gestaffelten Erinnerungen, Familien gestalten das Jahr bewusster nach dem Rhythmus des Kirchenjahres statt nur nach dem staatlichen Kalender.",
        "overview": "erstelle eine Feiertag-Erinnerungs-App für das komplette Kirchenjahr",
        "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "category_number": 9,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Gläubige verpassen keine wichtigen kirchlichen Feste mehr durch die gestaffelten Erinnerungen, Familien gestalten das Jahr bewusster nach dem Rhythmus des Kirchenjahres statt nur nach dem staatlichen Kalender.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-386",
        "title": "entwickle eine Repertoire-Verwaltung für Organisten",
        "prompt_number": 386,
        "prompt": "entwickle eine Repertoire-Verwaltung für Organisten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Orgelmusik-Datenbank nach liturgischem Anlass Präludium/Offertorium/Kommunion/Postludium kategorisiert, Komponisten-Register mit Werkverzeichnis-Nummern, Schwierigkeitsgrad-Einstufung für die eigene Übungsplanung, Registrierungs-Notizen pro Stück welche Orgelregister verwendet wurden, Einsatz-Historie wann welches Stück zuletzt gespielt wurde zur Abwechslung, liturgische-Passung-Vorschlag welches Stück zur Tageslesung oder Kirchenjahreszeit passt, Übe-Zeit-Tracking pro Stück bis zur Konzertreife, Notenmaterial-Verwaltung-Mockup digitale Ablage mit Fingersatz-Notizen, Vertretungs-Übergabe-Funktion Repertoire-Liste für einspringende Organisten, Festtags-Spezial-Repertoire für Hochfeste gesondert gekennzeichnet, Suchfunktion nach Anlass oder Komponist, GSAP Repertoire-Karten-Animationen - USE CASE: Organisten pflegen ihr Repertoire systematisch und wählen liturgisch passende Stücke ohne Wiederholung binnen kurzer Zeit, Vertretungsorganisten erhalten bei Einspringen eine fundierte Repertoire-Übersicht der Gemeinde.",
        "overview": "entwickle eine Repertoire-Verwaltung für Organisten",
        "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "category_number": 9,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Organisten pflegen ihr Repertoire systematisch und wählen liturgisch passende Stücke ohne Wiederholung binnen kurzer Zeit, Vertretungsorganisten erhalten bei Einspringen eine fundierte Repertoire-Übersicht der Gemeinde.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-387",
        "title": "programmiere eine Kirchenlieder-Datenbank mit Akkordsymbolen",
        "prompt_number": 387,
        "prompt": "programmiere eine Kirchenlieder-Datenbank mit Akkordsymbolen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Liedtext-mit-Akkordsymbolen-Anzeige für Gitarrenbegleitung bei modernen Gottesdienstformen, Transponier-Funktion Akkorde live in andere Tonart umrechnen, Kategorisierung nach Gottesdienstform klassische-Messe versus Jugendmesse versus Taizé-Andacht, Kapodaster-Empfehlung pro Lied und Sänger-Stimmlage, Strophen-und-Refrain-Struktur-Kennzeichnung, Neue-geistliche-Lieder-Sektion NGL zusätzlich zum klassischen Gesangbuch-Repertoire, persönliche Liedliste für kommende Gottesdienste zusammenstellbar, Schwierigkeitsgrad-Filter für Einsteiger-Gitarristen, Metronom-Tempo-Angabe pro Lied, Export als Liedblatt-PDF für die Band, Community-Beitrags-Mockup eigene Akkord-Sätze einreichen, GSAP Akkord-Wechsel-Hervorhebungs-Animationen - USE CASE: Bandmitglieder moderner Gottesdienstformen bereiten sich mit korrekten und transponierbaren Akkordsätzen vor, Jugendgottesdienst-Teams stellen passende Liedlisten für unterschiedliche Gottesdienstformen zusammen.",
        "overview": "programmiere eine Kirchenlieder-Datenbank mit Akkordsymbolen",
        "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "category_number": 9,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Bandmitglieder moderner Gottesdienstformen bereiten sich mit korrekten und transponierbaren Akkordsätzen vor, Jugendgottesdienst-Teams stellen passende Liedlisten für unterschiedliche Gottesdienstformen zusammen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-388",
        "title": "baue einen Adventskranz- und Kirchenjahr-Countdown",
        "prompt_number": 388,
        "prompt": "baue einen Adventskranz- und Kirchenjahr-Countdown - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Visueller Adventskranz mit vier Kerzen die entsprechend dem aktuellen Adventssonntag automatisch angezündet dargestellt werden, tägliche Adventsimpulse mit Bibelstelle und kurzer Besinnung, historische Erklärung der Adventskranz-Tradition seit Johann Hinrich Wichern, Weihnachts-Countdown mit theologischer Einordnung der Bedeutung des Wartens in der Heilsgeschichte, erweiterte-Kirchenjahr-Countdowns zu weiteren wichtigen Festen Ostern und Pfingsten, Familien-Adventskalender-Ergänzung mit geistlichen statt rein weltlichen Türchen-Inhalten, Rorate-Messen-Hinweis frühmorgendliche Adventsmessen mit Erklärung der Tradition, persönliches Adventstagebuch mit täglicher Notiz, Adventslieder-Verknüpfung passend zur Wochenimpuls, Kinderfreundlicher-Modus mit vereinfachter Sprache, GSAP Kerzenflammen-Anzünde-Animationen - USE CASE: Familien gestalten die Adventszeit bewusst als geistliche Vorbereitungszeit statt nur als Countdown zum Weihnachtsfest, Katecheten nutzen die App zur Vermittlung der Adventstradition an Kinder im Pfarreiunterricht.",
        "overview": "baue einen Adventskranz- und Kirchenjahr-Countdown",
        "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "category_number": 9,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Familien gestalten die Adventszeit bewusst als geistliche Vorbereitungszeit statt nur als Countdown zum Weihnachtsfest, Katecheten nutzen die App zur Vermittlung der Adventstradition an Kinder im Pfarreiunterricht.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-389",
        "title": "erstelle eine Sammlung liturgischer Abendgesänge zur Vesper",
        "prompt_number": 389,
        "prompt": "erstelle eine Sammlung liturgischer Abendgesänge zur Vesper - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Vesper-Gesänge mit Hymnus/Psalmen/Magnificat für jeden Wochentag nach dem Stundengebet-Psalter, Magnificat-Vertonungen-Bibliothek gregorianisch und mehrstimmig zur Auswahl, feierliche-Vesper-Modus für Hochfeste mit erweitertem Gesangsteil, Kerzenlicht-Andachts-Atmosphäre mit gedämpfter Bildschirmgestaltung, historische Einführung zur Bedeutung der Vesper im Tagesablauf klösterlicher Gemeinschaften, Gemeinschafts-Gesangs-Modus mit Vorsänger-Kennzeichnung für gemeinsame Feier, Text-und-Noten-Anzeige-Synchronisation, Kirchenjahreszeit-Anpassung der Antiphonen automatisch, persönliche Andachts-Historie regelmäßig gebetete Vespern (ApexCharts Kalender-Heatmap), Offline-Verfügbarkeit für Klosterräume und Kirchen ohne Netz, GSAP sanfte Abenddämmerungs-Animationen - USE CASE: Klostergemeinschaften und Vesper-Gruppen in Pfarreien feiern das Abendgebet mit vollständig hinterlegten Texten und Gesängen, Gläubige vertiefen die persönliche Abendandacht durch die traditionsreiche Form der Vesper.",
        "overview": "erstelle eine Sammlung liturgischer Abendgesänge zur Vesper",
        "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "category_number": 9,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Klostergemeinschaften und Vesper-Gruppen in Pfarreien feiern das Abendgebet mit vollständig hinterlegten Texten und Gesängen, Gläubige vertiefen die persönliche Abendandacht durch die traditionsreiche Form der Vesper.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-390",
        "title": "entwickle einen Kantorendienstplan mit Repertoire-Zuordnung",
        "prompt_number": 390,
        "prompt": "entwickle einen Kantorendienstplan mit Repertoire-Zuordnung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dienstplan-Kalender für Kantoren und Vorsänger über mehrere Gottesdienste hinweg, automatische Repertoire-Vorschläge passend zur jeweiligen Kirchenjahreszeit und den Tageslesungen, Verfügbarkeits-Abfrage-Funktion für eingetragene Kantoren, Vertretungs-Anfrage-Workflow bei Verhinderung mit Benachrichtigung an mögliche Vertretungen, Einsatz-Historie wer wann welches Repertoire gesungen hat zur besseren Verteilung, Übungsmaterial-Verweis pro zugewiesenem Dienst, Fairness-Statistik gleichmäßige Verteilung der Dienste über alle Kantoren (ApexCharts Balken), Sonderdienste-Kennzeichnung Hochfeste und Trauerfeiern gesondert vermerkt, Feedback-Sammlung nach jedem Dienst zur kontinuierlichen Verbesserung, Neue-Kantoren-Einarbeitungs-Checkliste, Export Dienstplan als druckbare Übersicht für die Sakristei, GSAP Dienstplan-Kalender-Animationen - USE CASE: Kirchenmusik-Verantwortliche koordinieren mehrere Kantoren über das Kirchenjahr gerecht und mit passendem Repertoire, Kantoren erhalten frühzeitig Klarheit über kommende Dienste samt vorbereitetem Übungsmaterial. ## Kategorie 10: GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "overview": "entwickle einen Kantorendienstplan mit Repertoire-Zuordnung",
        "category": "KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)",
        "category_number": 9,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Kirchenmusik-Verantwortliche koordinieren mehrere Kantoren über das Kirchenjahr gerecht und mit passendem Repertoire, Kantoren erhalten frühzeitig Klarheit über kommende Dienste samt vorbereitetem Übungsmaterial. ## Kategorie 10: GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-391",
        "title": "erstelle ein Pfarrei-Verwaltungstool für kleine Gemeindebüros",
        "prompt_number": 391,
        "prompt": "erstelle ein Pfarrei-Verwaltungstool für kleine Gemeindebüros - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrale Kontaktverwaltung für Gemeindemitglieder mit Sakramenten-Status Taufe/Erstkommunion/Firmung, Pfarrbüro-Aufgabenliste mit Fälligkeiten und Zuständigkeiten, Terminverwaltung für Kasualien Taufen/Trauungen/Beerdigungen mit Kalenderübersicht, Raumbelegungsplan für Pfarrsäle und Gemeinderäume, Dokumentenvorlagen-Bibliothek Taufschein/Firmbescheinigung-Mockup, Statistik-Dashboard Gemeindemitglieder-Entwicklung über Jahre (ApexCharts Line), Gremien-Übersicht Pfarrgemeinderat und Kirchenvorstand mit Mitgliederlisten, Kommunikations-Log wichtige Anfragen und deren Bearbeitungsstand, Jahresbericht-Generator für die Dekanatsebene, Kontaktverzeichnis externe Partner Caritas/Schulen/Kindergarten, GSAP Dashboard-Übersichts-Animationen - USE CASE: Pfarrsekretäre behalten in kleinen Gemeindebüros ohne teure Verwaltungssoftware den Überblick über alle laufenden Vorgänge, ehrenamtliche Gremienmitglieder erhalten transparenten Zugriff auf relevante Gemeindedaten für ihre Arbeit.",
        "overview": "erstelle ein Pfarrei-Verwaltungstool für kleine Gemeindebüros",
        "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "category_number": 10,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarrsekretäre behalten in kleinen Gemeindebüros ohne teure Verwaltungssoftware den Überblick über alle laufenden Vorgänge, ehrenamtliche Gremienmitglieder erhalten transparenten Zugriff auf relevante Gemeindedaten für ihre Arbeit.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-392",
        "title": "entwickle einen Dienstplan für Lektoren und Kommunionhelfer",
        "prompt_number": 392,
        "prompt": "entwickle einen Dienstplan für Lektoren und Kommunionhelfer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rotationsplan für Lektoren- und Kommunionhelfer-Dienste über mehrere Wochen mit fairer Verteilung, Verfügbarkeits-Abfrage-Formular für alle eingetragenen Ehrenamtlichen, automatische Vorschlags-Zuteilung basierend auf Verfügbarkeit und letztem Diensttermin, Vertretungs-Tausch-Börse Ehrenamtliche tauschen Dienste untereinander mit Bestätigung, Lesungs-Vorbereitungs-Verweis direkt zur zugeordneten Perikope des jeweiligen Sonntags, Erinnerungs-Benachrichtigung vor dem eigenen Dienst, Einarbeitungs-Checkliste für neue Lektoren und Kommunionhelfer, Fairness-Statistik Diensthäufigkeit pro Person über das Jahr (ApexCharts Balken), Mehrere-Gottesdienstorte-Verwaltung bei Pfarreiengemeinschaften mit mehreren Kirchen, Sonderdienste-Kennzeichnung Hochfeste erfordern mehr Kommunionhelfer, Export Dienstplan für Aushang in der Sakristei, GSAP Dienstplan-Zuteilungs-Animationen - USE CASE: Pfarrbüros koordinieren die ehrenamtlichen Liturgiedienste über mehrere Kirchen einer Pfarreiengemeinschaft gerecht, Lektoren und Kommunionhelfer sehen frühzeitig ihre kommenden Dienste samt passender Lesungsvorbereitung.",
        "overview": "entwickle einen Dienstplan für Lektoren und Kommunionhelfer",
        "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "category_number": 10,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarrbüros koordinieren die ehrenamtlichen Liturgiedienste über mehrere Kirchen einer Pfarreiengemeinschaft gerecht, Lektoren und Kommunionhelfer sehen frühzeitig ihre kommenden Dienste samt passender Lesungsvorbereitung.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-393",
        "title": "programmiere ein Kollekten- und Spendenverwaltungstool",
        "prompt_number": 393,
        "prompt": "programmiere ein Kollekten- und Spendenverwaltungstool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Erfassung der Sonntagskollekten mit Zweckbindung Caritas/Weltmission/Baurücklage, Jahresübersicht Kollekteneinnahmen nach Zweck (ApexCharts Stacked Bar), Spendenquittungs-Generator-Mockup für steuerliche Zwecke bei größeren Einzelspenden, Sonderkollekten-Kalender kirchlich vorgegebene Zwecke wie Misereor und Adveniat termingerecht, Transparenzbericht-Generator für die Gemeinde wohin die Kollekten geflossen sind, Spendenaktions-Tracker für konkrete Projekte mit Zielsumme und Fortschrittsbalken, Vergleich Vorjahreskollekten zur Trendbeobachtung (ApexCharts Line), Bargeld-Zähl-Protokoll-Vorlage für die Kollektenzählung nach dem Vier-Augen-Prinzip, Spender-Datenschutz-Hinweis prominent eingebettet, Export Jahresabschluss für die Bistumsverwaltung, Erinnerungs-Funktion für anstehende Sonderkollekten, GSAP Spendenbalken-Fortschritts-Animationen - USE CASE: Kirchenvorstände dokumentieren Kollekteneinnahmen transparent und nachvollziehbar für die Gemeinde, Pfarreien mit konkreten Bauprojekten verfolgen den Spendenfortschritt öffentlich einsehbar für alle Gemeindemitglieder.",
        "overview": "programmiere ein Kollekten- und Spendenverwaltungstool",
        "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "category_number": 10,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Kirchenvorstände dokumentieren Kollekteneinnahmen transparent und nachvollziehbar für die Gemeinde, Pfarreien mit konkreten Bauprojekten verfolgen den Spendenfortschritt öffentlich einsehbar für alle Gemeindemitglieder.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-394",
        "title": "baue einen Pfarrei-Veranstaltungskalender mit Anmeldefunktion",
        "prompt_number": 394,
        "prompt": "baue einen Pfarrei-Veranstaltungskalender mit Anmeldefunktion - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentraler Veranstaltungskalender für alle Gruppen der Pfarrei Jugendgruppe/Seniorenkreis/Chor/Bibelkreis, Anmeldefunktion mit Teilnehmerzahl-Begrenzung für Veranstaltungen mit Platzbedarf, Raumbelegungs-Abgleich um Terminkollisionen im Pfarrsaal zu vermeiden, Kategorien-Filter nach Zielgruppe Kinder/Jugend/Erwachsene/Senioren, wiederkehrende-Termine-Verwaltung wöchentliche Gruppenstunden automatisch eingetragen, Erinnerungs-Benachrichtigung vor angemeldeten Veranstaltungen, Absage-Funktion bei Verhinderung mit Nachrücker-Liste, Veranstaltungs-Feedback-Formular nach Durchführung, Export als Pfarrbrief-Terminübersicht, Öffentliche-versus-interne-Veranstaltungen-Kennzeichnung, Foto-Galerie-Mockup vergangener Veranstaltungen, GSAP Kalender-Ansichts-Animationen - USE CASE: Pfarreien mit vielen aktiven Gruppen vermeiden Terminkollisionen bei der Raumnutzung, Gemeindemitglieder finden und melden sich für passende Veranstaltungen zentral an statt in verstreuten Aushängen zu suchen.",
        "overview": "baue einen Pfarrei-Veranstaltungskalender mit Anmeldefunktion",
        "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "category_number": 10,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien mit vielen aktiven Gruppen vermeiden Terminkollisionen bei der Raumnutzung, Gemeindemitglieder finden und melden sich für passende Veranstaltungen zentral an statt in verstreuten Aushängen zu suchen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-395",
        "title": "erstelle ein digitales Sakramentenregister-Archiv",
        "prompt_number": 395,
        "prompt": "erstelle ein digitales Sakramentenregister-Archiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbares digitales Archiv der Tauf-Firmungs-und-Eheregister als Ergänzung zu den physischen Kirchenbüchern, strukturierte Erfassung Name/Datum/Spender/Paten-beziehungsweise-Trauzeugen pro Eintrag, Volltextsuche nach Namen für Bescheinigungsanfragen, Verknüpfung zwischen verwandten Einträgen Taufe und spätere Firmung derselben Person, Sicherheits-und-Datenschutz-Hinweis sensible Personendaten bleiben ausschließlich lokal und verschlüsselt, Bescheinigungs-Generator-Mockup zum Ausdrucken für Antragsteller, Statistik-Dashboard Sakramentenzahlen über die Jahre (ApexCharts Line), Zugriffsprotokoll wer hat wann welchen Eintrag eingesehen für Nachvollziehbarkeit, Import-Funktion-Mockup zur Digitalisierung alter handschriftlicher Kirchenbücher, Jubiläums-Erinnerung goldene und diamantene Hochzeiten automatisch erkannt, Archivierungs-Richtlinien-Dokumentation nach kirchenrechtlichen Vorgaben, GSAP Archiv-Such-Animationen - USE CASE: Pfarrbüros finden Sakramenteneinträge für Bescheinigungsanfragen schnell statt in Papierregistern zu blättern, Pfarreien digitalisieren historische Kirchenbücher schrittweise ohne die kirchenrechtlich vorgeschriebene physische Aufbewahrung zu ersetzen.",
        "overview": "erstelle ein digitales Sakramentenregister-Archiv",
        "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "category_number": 10,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarrbüros finden Sakramenteneinträge für Bescheinigungsanfragen schnell statt in Papierregistern zu blättern, Pfarreien digitalisieren historische Kirchenbücher schrittweise ohne die kirchenrechtlich vorgeschriebene physische Aufbewahrung zu ersetzen.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-396",
        "title": "entwickle ein Sitzungsverwaltungstool für den Pfarrgemeinderat",
        "prompt_number": 396,
        "prompt": "entwickle ein Sitzungsverwaltungstool für den Pfarrgemeinderat - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sitzungsplanung mit Tagesordnungspunkten und zugewiesenen Verantwortlichen, Protokoll-Editor mit Beschlussfassungen und Abstimmungsergebnissen, Mitgliederverzeichnis mit Amtszeit und Ausschusszugehörigkeit, Beschluss-Tracking offene versus umgesetzte Beschlüsse über mehrere Sitzungsperioden (ApexCharts Balken), Ausschuss-Verwaltung Liturgie-Caritas-Jugend-Finanzen mit eigenen Unterprotokollen, Wahlperioden-Übersicht und anstehende Neuwahltermine, Dokumenten-Ablage-Mockup Satzung und Geschäftsordnung des Gremiums, Vorlagen-Bibliothek für wiederkehrende Tagesordnungspunkte, Anwesenheits-Tracking pro Sitzung, Erinnerungs-Benachrichtigung vor Sitzungsterminen an alle Mitglieder, Export Protokolle als durchsuchbares Jahresarchiv, GSAP Sitzungsablauf-Animationen - USE CASE: Pfarrgemeinderäte dokumentieren ihre Sitzungen und Beschlüsse nachvollziehbar über mehrere Wahlperioden hinweg, neue Ratsmitglieder verschaffen sich durch das Archiv schnell Überblick über frühere Entscheidungen und deren Umsetzungsstand.",
        "overview": "entwickle ein Sitzungsverwaltungstool für den Pfarrgemeinderat",
        "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "category_number": 10,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarrgemeinderäte dokumentieren ihre Sitzungen und Beschlüsse nachvollziehbar über mehrere Wahlperioden hinweg, neue Ratsmitglieder verschaffen sich durch das Archiv schnell Überblick über frühere Entscheidungen und deren Umsetzungsstand.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-397",
        "title": "programmiere eine Rotations-App für den Ministrantendienstplan",
        "prompt_number": 397,
        "prompt": "programmiere eine Rotations-App für den Ministrantendienstplan - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dienstplan-Rotation für Ministranten über mehrere Wochen und Gottesdienstformen Sonntagsmesse/Werktagsmesse/Sonderfeiern, Verfügbarkeits-Abfrage für Ministranten und ihre Erziehungsberechtigten, faire-Verteilung-Algorithmus unter Berücksichtigung von Schule und Freizeitaktivitäten, Rollen-Zuweisung pro Dienst Kreuzträger/Kerzenträger/Thuriferar/Buchträger, Tausch-Börse für Ministranten bei Terminkonflikten mit Bestätigungspflicht der Eltern, Erinnerungs-Benachrichtigung am Vorabend des eigenen Dienstes, Einsatz-Statistik pro Ministrant über das Jahr zur gerechten Verteilung (ApexCharts Balken), Neue-Ministranten-Einarbeitungs-Kennzeichnung noch nicht für alle Rollen freigegeben, Geburtstags-und-Jubiläums-Erinnerung für langjährige Ministranten, Sonderdienste-Kennzeichnung Hochfeste und Kasualien mit höherem Bedarf, Export Dienstplan für Aushang in der Sakristei, GSAP Dienstplan-Rotations-Animationen - USE CASE: Küster und Ministrantenleiter koordinieren viele jugendliche Ministranten über wechselnde Verfügbarkeiten hinweg gerecht, Eltern und Ministranten sehen frühzeitig kommende Dienste und können rechtzeitig Vertretung organisieren.",
        "overview": "programmiere eine Rotations-App für den Ministrantendienstplan",
        "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "category_number": 10,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Küster und Ministrantenleiter koordinieren viele jugendliche Ministranten über wechselnde Verfügbarkeiten hinweg gerecht, Eltern und Ministranten sehen frühzeitig kommende Dienste und können rechtzeitig Vertretung organisieren.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-398",
        "title": "baue ein Redaktionstool für den Pfarrbrief",
        "prompt_number": 398,
        "prompt": "baue ein Redaktionstool für den Pfarrbrief - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Redaktionsplan mit Themen und Autoren-Zuweisung pro Ausgabe, Rubriken-Struktur Termine/Berichte/Predigtgedanken/Gruppenvorstellung konsistent über Ausgaben hinweg, Artikel-Entwurf-Editor mit Wortzahl-Anzeige für die Layoutplanung, Redaktionsschluss-Countdown pro Ausgabe mit Erinnerungen an Autoren, Bild-Platzhalter-Verwaltung mit Bildrechte-Checkliste, Terminkalender-Auszug automatisch aus dem Pfarrei-Veranstaltungskalender übernommen, Korrekturlese-Workflow mit Kommentarfunktion vor Drucklegung, Ausgaben-Archiv durchsuchbar für Rückblicke, Auflagen-und-Verteilungs-Tracking wie viele Exemplare an welche Verteilstellen, Leser-Feedback-Formular-Mockup, Vorlagen-Bibliothek für wiederkehrende Formate Adventsausgabe und Osterausgabe, GSAP Redaktionsplan-Animationen - USE CASE: Pfarrbrief-Redaktionsteams koordinieren mehrere ehrenamtliche Autoren mit klaren Fristen und Zuständigkeiten, Pfarreien mit regelmäßigem Pfarrbrief behalten den Überblick über Themenplanung über mehrere Ausgaben im Voraus.",
        "overview": "baue ein Redaktionstool für den Pfarrbrief",
        "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "category_number": 10,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarrbrief-Redaktionsteams koordinieren mehrere ehrenamtliche Autoren mit klaren Fristen und Zuständigkeiten, Pfarreien mit regelmäßigem Pfarrbrief behalten den Überblick über Themenplanung über mehrere Ausgaben im Voraus.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-399",
        "title": "erstelle ein Koordinationstool für Ehrenamtliche in der Pfarrei",
        "prompt_number": 399,
        "prompt": "erstelle ein Koordinationstool für Ehrenamtliche in der Pfarrei - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrales Verzeichnis aller Ehrenamtlichen mit Engagement-Bereich Liturgie/Caritas/Jugend/Verwaltung, Kompetenz-und-Interessen-Profil pro Ehrenamtlichem für passende Einsatzvorschläge, Neue-Ehrenamtliche-Onboarding-Checkliste mit Ansprechpartner-Zuordnung, Engagement-Historie wie lange und in welchen Bereichen jemand bereits tätig ist, Wertschätzungs-Erinnerung Dankschreiben oder Ehrenamtsfeier-Termine, Schulungsnachweis-Tracking verpflichtende Präventionsschulungen im Kinderschutz mit Ablaufdatum, offene-Engagement-Möglichkeiten-Übersicht wo aktuell Unterstützung gesucht wird, Stunden-Erfassung-Mockup freiwillig für den eigenen Überblick, Kommunikations-Verteiler nach Engagement-Bereich für gezielte Ankündigungen, Nachfolge-Planung frühzeitige Suche nach Nachfolgern für zentrale Rollen, Statistik-Dashboard Ehrenamts-Struktur der Pfarrei (ApexCharts Donut), GSAP Profil-Karten-Animationen - USE CASE: Pfarreien behalten den Überblick über ihre oft hunderte Ehrenamtlichen und deren jeweilige Schulungsstände, neue Freiwillige finden über die Interessens-Profile schneller einen zu ihnen passenden Engagement-Bereich.",
        "overview": "erstelle ein Koordinationstool für Ehrenamtliche in der Pfarrei",
        "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "category_number": 10,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien behalten den Überblick über ihre oft hunderte Ehrenamtlichen und deren jeweilige Schulungsstände, neue Freiwillige finden über die Interessens-Profile schneller einen zu ihnen passenden Engagement-Bereich.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "katholisch:prompt-400",
        "title": "entwickle eine Friedhofsverwaltung für die Pfarrei-eigene Begräbnisstätte",
        "prompt_number": 400,
        "prompt": "entwickle eine Friedhofsverwaltung für die Pfarrei-eigene Begräbnisstätte - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitales Grabregister mit Grabnummer/Belegungsstatus/Nutzungsrecht-Ablaufdatum, Lageplan-Visualisierung des Friedhofs mit anklickbaren Grabfeldern (D3.js), Nutzungsrecht-Verlängerungs-Erinnerung rechtzeitig vor Ablauf an die Angehörigen, Grabpflege-Verantwortlichkeits-Zuordnung wer ist für welches Grab zuständig, Gebühren-Übersicht Grabnutzungsgebühren und deren Zahlungsstatus, Bestattungstermin-Kalender mit Koordination von Priester/Küster/Bestatter, historische-Gräber-Kennzeichnung denkmalgeschützte oder besonders alte Grabstätten gesondert markiert, Allerseelen-Vorbereitungs-Checkliste jährliche Gräbersegnung organisieren, Freie-Grabstellen-Übersicht für Vorausplanungen von Gemeindemitgliedern, Angehörigen-Kontaktverwaltung pro Grabstelle, Export Friedhofsplan als PDF für die Verwaltung, GSAP Lageplan-Zoom-Animationen - USE CASE: Pfarreien mit eigenem Friedhof verwalten Belegung und Nutzungsrechte transparent statt in Papierakten, Angehörige erhalten rechtzeitige Erinnerung vor Ablauf des Nutzungsrechts eines Familiengrabes statt eine böse Überraschung zu erleben. === ENDE - 100 RELIGIÖS-SPIRITUELLE HTML5 APP-PROMPTS (BATCH 4) === ## Hinweis Quelle: erstellt für Batch 4 auf Basis realer Projektnamen aus dem eigenen HTML-MD-EXPORT-Archiv — ANGELUS, ROSENKRANZ und HTML-BACKUP (Kreuzweg-Andacht) für Kategorie 1, kath-ki, messandacht (tridentinische Messandacht) und liturgie-1 (Ritenvergleich) für Kategorie 2 und 14, kempis (De Imitatione Christi) als Vorbild für die Gebets- und Andachtsprompts, summa (scholastisches Glossar) direkt als Vorlage für #362, koran-bibel-erweiterte-analyse und nostra-aetate-analyse als Vorlage für Kategorie 4, sowie die Buchidee „orbitron-maps — 3.500 km zu Fuß\" als Vorlage für #371. Kategorie 5 zieht die direkte Sicherheitslehre aus dem im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts (hartcodierter, clientseitig sichtbarer OpenAI-Key) — jeder der zehn Prompts in dieser Kategorie verlangt ausdrücklich eine serverseitige Proxy-Architektur ohne clientseitigen API-Key, exakt so wie es kathsafe6 als sichere Variante bereits korrekt umgesetzt hat. Der Ton bleibt über alle 100 Prompts hinweg respektvoll und theologisch/liturgisch fundiert — als echtes Werkzeug für gläubige Nutzer und interreligiösen Dialog, nicht als Satire.",
        "overview": "entwickle eine Friedhofsverwaltung für die Pfarrei-eigene Begräbnisstätte",
        "category": "GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)",
        "category_number": 10,
        "cluster": "Religiös / Spirituell",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "katholisch",
          "spiritualitaet",
          "liturgie",
          "gebet",
          "interreligioes",
          "kirchengeschichte",
          "pilgerreise",
          "pfarrei"
        ],
        "use_case": "Pfarreien mit eigenem Friedhof verwalten Belegung und Nutzungsrechte transparent statt in Papierakten, Angehörige erhalten rechtzeitige Erinnerung vor Ablauf des Nutzungsrechts eines Familiengrabes statt eine böse Überraschung zu erleben. === ENDE - 100 RELIGIÖS-SPIRITUELLE HTML5 APP-PROMPTS (BATCH 4) === ## Hinweis Quelle: erstellt für Batch 4 auf Basis realer Projektnamen aus dem eigenen HTML-MD-EXPORT-Archiv — ANGELUS, ROSENKRANZ und HTML-BACKUP (Kreuzweg-Andacht) für Kategorie 1, kath-ki, messandacht (tridentinische Messandacht) und liturgie-1 (Ritenvergleich) für Kategorie 2 und 14, kempis (De Imitatione Christi) als Vorbild für die Gebets- und Andachtsprompts, summa (scholastisches Glossar) direkt als Vorlage für #362, koran-bibel-erweiterte-analyse und nostra-aetate-analyse als Vorlage für Kategorie 4, sowie die Buchidee „orbitron-maps — 3.500 km zu Fuß\" als Vorlage für #371. Kategorie 5 zieht die direkte Sicherheitslehre aus dem im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts (hartcodierter, clientseitig sichtbarer OpenAI-Key) — jeder der zehn Prompts in dieser Kategorie verlangt ausdrücklich eine serverseitige Proxy-Architektur ohne clientseitigen API-Key, exakt so wie es kathsafe6 als sichere Variante bereits korrekt umgesetzt hat. Der Ton bleibt über alle 100 Prompts hinweg respektvoll und theologisch/liturgisch fundiert — als echtes Werkzeug für gläubige Nutzer und interreligiösen Dialog, nicht als Satire.",
        "source": "katholisch.md",
        "source_path": "katholisch.md",
        "library_title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-401",
        "title": "erstelle einen Mathe-Übungstest-Generator Klasse 5-10 differenziert",
        "prompt_number": 401,
        "prompt": "erstelle einen Mathe-Übungstest-Generator Klasse 5-10 differenziert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenauswahl Bruchrechnung/Prozentrechnung/Gleichungen/Geometrie nach Klassenstufe, Schulform-Umschalter Gymnasium/Realschule/Gesamtschule mit angepasstem Anforderungsniveau, Aufgaben-Generator mit Zufallszahlen und Schwierigkeitsstufen leicht/mittel/schwer, Rechenweg-Anzeige einklappbar bei falscher Antwort, Zeitmessung pro Aufgabe und Gesamttest, Punktesystem mit Notenschlüssel-Umrechnung, Fehleranalyse nach Themenblock (ApexCharts Balken), Wiederholungsmodus nur falsch gelöste Aufgaben, Druckansicht als PDF-Arbeitsblatt für Offline-Übung, Fortschrittsverlauf über mehrere Testdurchläufe (D3.js Linie), Eltern-Ansicht ohne Klarnamen nur Pseudonym, GSAP Aufgaben-Einblend-Animationen - USE CASE: Schüler üben eigenständig für die nächste Klassenarbeit mit passgenauem Schwierigkeitsgrad, Nachhilfelehrer erstellen in Minuten differenzierte Übungssätze für Schüler unterschiedlicher Schulformen.",
        "overview": "erstelle einen Mathe-Übungstest-Generator Klasse 5-10 differenziert",
        "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
        "category_number": 1,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler üben eigenständig für die nächste Klassenarbeit mit passgenauem Schwierigkeitsgrad, Nachhilfelehrer erstellen in Minuten differenzierte Übungssätze für Schüler unterschiedlicher Schulformen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-402",
        "title": "entwickle einen Deutsch-Grammatik-und-Rechtschreibtest-Generator",
        "prompt_number": 402,
        "prompt": "entwickle einen Deutsch-Grammatik-und-Rechtschreibtest-Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenkatalog Zeitformen/Satzglieder/Groß-Kleinschreibung/Kommasetzung nach Klassenstufe 5-10, Lückentext-Generator mit automatischer Auswertung, Diktat-Modus mit Vorlese-Simulation und Fehlerhervorhebung, Fehlerklassifikation Rechtschreibung vs Grammatik vs Zeichensetzung (ApexCharts Donut), Regelerklärung bei Fehler mit Beispielsatz, Schwierigkeitsgrad-Anpassung nach Fehlerquote automatisch, Klassenarbeits-Simulation mit Zeitlimit, individuelle Fehlerkartei häufigster Fehlerwörter, Fortschritts-Heatmap über Wochen (D3.js Kalender), Export Testergebnis als Übersicht für Eltern, Offline-Nutzung ohne Internet, GSAP Korrektur-Feedback-Animationen - USE CASE: Grundschul- und Unterstufenschüler festigen Rechtschreibung und Grammatik gezielt vor Diktaten, Eltern erkennen anhand der Fehlerkartei welche Regeln noch nicht sitzen.",
        "overview": "entwickle einen Deutsch-Grammatik-und-Rechtschreibtest-Generator",
        "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
        "category_number": 1,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Grundschul- und Unterstufenschüler festigen Rechtschreibung und Grammatik gezielt vor Diktaten, Eltern erkennen anhand der Fehlerkartei welche Regeln noch nicht sitzen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-403",
        "title": "programmiere einen Englisch-Vocabulary-und-Grammar-Test-Generator",
        "prompt_number": 403,
        "prompt": "programmiere einen Englisch-Vocabulary-und-Grammar-Test-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themeneinheiten nach gängigen Lehrwerk-Kapiteln School/Family/Sports/Environment, Grammatik-Module Simple Past/Present Perfect/Conditional Sentences mit Erklär-Popover, Multiple-Choice und Lückentext-Aufgabentypen kombiniert, Aussprache-Hinweis-Karten zu Vokabeln, Klassenstufen-Filter 5-10 mit passendem Wortschatzumfang, Test-Auswertung mit Prozent- und Notenschlüssel-Anzeige, Fehlerschwerpunkt-Analyse Vokabular vs Grammatik (ApexCharts Balken), Wiederholungs-Set aus letzten Fehlern automatisch zusammengestellt, Zeitdruck-Modus wie in echter Klassenarbeit, Fortschrittsverlauf mehrerer Testtermine (D3.js Linie), Vokabelheft-Export als Liste, GSAP Test-Abschluss-Animationen - USE CASE: Schüler bereiten sich strukturiert auf Vokabeltests und Klassenarbeiten vor, Nachhilfelehrer identifizieren schnell ob Vokabular oder Grammatik der Schwachpunkt ist.",
        "overview": "programmiere einen Englisch-Vocabulary-und-Grammar-Test-Generator",
        "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
        "category_number": 1,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler bereiten sich strukturiert auf Vokabeltests und Klassenarbeiten vor, Nachhilfelehrer identifizieren schnell ob Vokabular oder Grammatik der Schwachpunkt ist.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-404",
        "title": "baue einen Latein-Übersetzungs-und-Grammatik-Klausurtrainer",
        "prompt_number": 404,
        "prompt": "baue einen Latein-Übersetzungs-und-Grammatik-Klausurtrainer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Textkorpus nach Lehrbuchlektionen mit steigendem Schwierigkeitsgrad, Übersetzungs-Editor mit Wort-für-Wort-Hilfe bei Bedarf einblendbar, Grammatik-Module AcI/Ablativus Absolutus/Konjunktiv im Nebensatz mit Beispielsätzen, Stammformen-Trainer zu unregelmäßigen Verben, Konstruktions-Erkennungs-Quiz markiere die Satzkonstruktion, Klausur-Simulation mit Zeitlimit und Wörterbuch-Sperre-Hinweis, Bewertungsraster nach Punktesystem wie in echten Lateinklausuren, Fehleranalyse grammatische Kategorien (ApexCharts Radar), Vokabel-Wiederholung aus bereits bearbeiteten Texten, Interpretations-Fragen zu Kulturkontext, Fortschritt pro Lektion (D3.js Balken), GSAP Text-Analyse-Animationen - USE CASE: Gymnasiasten bereiten sich gezielt auf Lateinklausuren mit Übersetzungsteil vor, Nachhilfelehrer üben mit Schülern die typischen Konstruktionen die in Klausuren am häufigsten abgefragt werden.",
        "overview": "baue einen Latein-Übersetzungs-und-Grammatik-Klausurtrainer",
        "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
        "category_number": 1,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Gymnasiasten bereiten sich gezielt auf Lateinklausuren mit Übersetzungsteil vor, Nachhilfelehrer üben mit Schülern die typischen Konstruktionen die in Klausuren am häufigsten abgefragt werden.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-405",
        "title": "erstelle einen Physik-Übungstest-Generator Mechanik-und-Elektrik",
        "prompt_number": 405,
        "prompt": "erstelle einen Physik-Übungstest-Generator Mechanik-und-Elektrik - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Kraft/Bewegung/Energie und Stromkreise/Widerstand nach Klassenstufe 7-10, Formel-Anwendungsaufgaben mit Variablen-Eingabe und automatischer Prüfung, Einheiten-Kontrolle warnt bei falscher Einheit, Diagramm-Ableseaufgaben v-t und s-t-Diagramme (ApexCharts), Schaltplan-Erkennungsfragen Reihen- und Parallelschaltung, Rechenweg-Anzeige Schritt für Schritt bei Bedarf, Klassenarbeits-Modus mit Formelsammlung-Sperre-Option, Fehleranalyse nach Themenblock (D3.js Radar), Schwierigkeitsgrad-Anpassung automatisch nach Erfolgsquote, Wiederholungsmodus schwacher Themen, Export Testergebnis-Übersicht, GSAP Diagramm-Einblend-Animationen - USE CASE: Realschüler und Gymnasiasten üben rechenintensive Physikaufgaben mit sofortiger Korrektur, Nachhilfelehrer erkennen ob mechanisches Verständnis oder reine Rechenfehler die Ursache für schlechte Noten sind.",
        "overview": "erstelle einen Physik-Übungstest-Generator Mechanik-und-Elektrik",
        "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
        "category_number": 1,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Realschüler und Gymnasiasten üben rechenintensive Physikaufgaben mit sofortiger Korrektur, Nachhilfelehrer erkennen ob mechanisches Verständnis oder reine Rechenfehler die Ursache für schlechte Noten sind.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-406",
        "title": "entwickle einen Chemie-Übungstest-Generator Stöchiometrie-und-Periodensystem",
        "prompt_number": 406,
        "prompt": "entwickle einen Chemie-Übungstest-Generator Stöchiometrie-und-Periodensystem - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenauswahl Atombau/Periodensystem/chemische Reaktionsgleichungen/Stöchiometrie nach Klassenstufe, Reaktionsgleichungen-Ausgleichs-Übung mit automatischer Prüfung der Koeffizienten, Molare-Masse-Rechenaufgaben mit Rechenweg, Periodensystem-Zuordnungsfragen Ordnungszahl/Gruppe/Periode, Stoffeigenschaften-Quiz sauer/basisch/neutral, Klassenarbeits-Simulation mit Zeitlimit, Fehleranalyse nach Themenbereich (ApexCharts Balken), Formelsammlung-Kurzreferenz einblendbar, Schwierigkeitsgrad-Stufen leicht bis Oberstufen-Niveau, Fortschrittsverlauf über Testtermine (D3.js Linie), Wiederholungsset aus Fehlern, GSAP Reaktionsgleichungs-Animationen - USE CASE: Schüler üben das Ausgleichen von Reaktionsgleichungen bis es automatisiert sitzt, Nachhilfelehrer bereiten gezielt auf die nächste Chemiearbeit zu Stöchiometrie vor.",
        "overview": "entwickle einen Chemie-Übungstest-Generator Stöchiometrie-und-Periodensystem",
        "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
        "category_number": 1,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler üben das Ausgleichen von Reaktionsgleichungen bis es automatisiert sitzt, Nachhilfelehrer bereiten gezielt auf die nächste Chemiearbeit zu Stöchiometrie vor.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-407",
        "title": "baue einen Biologie-Übungstest-Generator Zellbiologie-Genetik-Ökologie",
        "prompt_number": 407,
        "prompt": "baue einen Biologie-Übungstest-Generator Zellbiologie-Genetik-Ökologie - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Zellaufbau/Vererbungslehre/Ökosysteme nach Klassenstufe 7-10, Beschriftungsaufgaben zu Zell- und Organdiagrammen, Kreuzungsschema-Übungen Mendelsche Regeln mit automatischer Auswertung, Nahrungsketten-Zuordnungsfragen, Fachbegriff-Definitions-Quiz mit Multiple-Choice, Klassenarbeits-Modus mit Zeitlimit, Fehleranalyse nach Themenbereich (ApexCharts Radar), Bildmaterial-basierte Fragen mit Zoom-Funktion, Schwierigkeitsgrad-Anpassung automatisch, Fortschrittsverlauf über Schulhalbjahr (D3.js Linie), Wiederholungsmodus schwacher Themen, GSAP Diagramm-Beschriftungs-Animationen - USE CASE: Schüler festigen Fachbegriffe und Zusammenhänge vor Biologiearbeiten praxisnah, Eltern ohne Bio-Kenntnisse können den Fortschritt trotzdem anhand der Auswertung nachvollziehen.",
        "overview": "baue einen Biologie-Übungstest-Generator Zellbiologie-Genetik-Ökologie",
        "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
        "category_number": 1,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler festigen Fachbegriffe und Zusammenhänge vor Biologiearbeiten praxisnah, Eltern ohne Bio-Kenntnisse können den Fortschritt trotzdem anhand der Auswertung nachvollziehen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-408",
        "title": "programmiere eine 109-Übungstests-Bibliothek fürs Gymnasium NRW",
        "prompt_number": 408,
        "prompt": "programmiere eine 109-Übungstests-Bibliothek fürs Gymnasium NRW - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Testbibliothek mit 109 kategorisierten Übungstests über Mathe/Deutsch/Englisch nach NRW-Kernlehrplan Klasse 5-10, Fach- und Klassenstufen-Filter kombinierbar, Schulform-Kennzeichnung Gymnasium-spezifisches Anforderungsniveau, Zufalls-Test-Zusammenstellung aus dem Pool, Fortschritts-Dashboard über alle 109 Tests (ApexCharts Radial), Eltern-Handbuch-Sektion Erklärung der NRW-Notenstufen und Kernlehrplan-Kompetenzbereiche, Schwachstellen-Report nach Fach und Kompetenzbereich (D3.js Heatmap), Testtermin-Verwaltung wann welcher Test bearbeitet wurde, Druckansicht einzelner Tests als Arbeitsblatt, Lesezeichen-Funktion für Wiederholung, Suchfunktion über alle Testtitel, GSAP Test-Auswahl-Animationen - USE CASE: Eltern in NRW nutzen die Testbibliothek als strukturiertes Nachschlagewerk zur Vorbereitung auf Klassenarbeiten ihrer Kinder, Nachhilfelehrer sparen Vorbereitungszeit durch die fertige kategorisierte Testsammlung nach Kernlehrplan.",
        "overview": "programmiere eine 109-Übungstests-Bibliothek fürs Gymnasium NRW",
        "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
        "category_number": 1,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Eltern in NRW nutzen die Testbibliothek als strukturiertes Nachschlagewerk zur Vorbereitung auf Klassenarbeiten ihrer Kinder, Nachhilfelehrer sparen Vorbereitungszeit durch die fertige kategorisierte Testsammlung nach Kernlehrplan.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-409",
        "title": "erstelle einen ZP10-Simulator Zentrale-Prüfungen-Klasse-10-NRW",
        "prompt_number": 409,
        "prompt": "erstelle einen ZP10-Simulator Zentrale-Prüfungen-Klasse-10-NRW - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fachauswahl Mathematik/Deutsch/Englisch entsprechend den echten NRW-Zentralen-Prüfungen, Aufgabenformate wie im Original Grundkurs/Erweiterungskurs-Differenzierung, Zeitlimit exakt wie in der echten Prüfung, Musterlösungen mit Bewertungsschema nach Punkten, Bewertungsraster-Simulation Notenumrechnung aus Prüfungspunkten, Themenschwerpunkt-Statistik welche Themen historisch häufig geprüft wurden (ApexCharts Balken), Übungsklausuren aus Vorjahren-Struktur nachgebildet, Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Countdown-Anzeige bis zum echten Prüfungstermin, Stress-freier Übungsmodus ohne Zeitdruck als Alternative, Fortschritts-Historie über mehrere Simulationsdurchläufe, GSAP Prüfungsstart-Countdown-Animationen - USE CASE: Zehntklässler in NRW bereiten sich unter realistischen Bedingungen auf die Zentralen Prüfungen vor, Eltern verstehen anhand der Bewertungssimulation wie die Punkte in die Abschlussnote einfließen.",
        "overview": "erstelle einen ZP10-Simulator Zentrale-Prüfungen-Klasse-10-NRW",
        "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
        "category_number": 1,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Zehntklässler in NRW bereiten sich unter realistischen Bedingungen auf die Zentralen Prüfungen vor, Eltern verstehen anhand der Bewertungssimulation wie die Punkte in die Abschlussnote einfließen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-410",
        "title": "entwickle einen fächerübergreifenden Diagnosetest-Generator Einstufung",
        "prompt_number": 410,
        "prompt": "entwickle einen fächerübergreifenden Diagnosetest-Generator Einstufung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurzdiagnose über Mathe/Deutsch/Englisch-Grundkompetenzen bei Schulformwechsel oder Nachhilfebeginn, Adaptiver Fragenpfad wird bei richtigen Antworten schwerer bei falschen leichter, Kompetenzraster-Ergebnis nach Bildungsstandards (ApexCharts Radar), Klassenstufen-Einschätzung Ergebnis-basiert, Lückenidentifikation konkrete Themenbereiche mit Nachholbedarf, Empfehlungs-Report welche Übungstests aus der Bibliothek als nächstes sinnvoll sind, Zeitaufwand pro Fach ca. 15 Minuten, Eltern-verständliche Ergebnis-Zusammenfassung ohne Fachjargon, Vergleich zu Klassenstufen-Durchschnitt anonymisiert, Wiederholung der Diagnose nach mehreren Wochen zum Vergleich, Datenschutz-Hinweis nur Pseudonym keine Schulnamen-Pflicht, GSAP Ergebnis-Enthüllungs-Animationen - USE CASE: Eltern und Nachhilfelehrer verschaffen sich beim Erstkontakt schnell ein objektives Bild über den tatsächlichen Wissensstand eines Kindes, Schulformwechsler erkennen konkret welche Lücken vor dem Wechsel geschlossen werden sollten. ## Kategorie 2: VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "overview": "entwickle einen fächerübergreifenden Diagnosetest-Generator Einstufung",
        "category": "FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)",
        "category_number": 1,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Eltern und Nachhilfelehrer verschaffen sich beim Erstkontakt schnell ein objektives Bild über den tatsächlichen Wissensstand eines Kindes, Schulformwechsler erkennen konkret welche Lücken vor dem Wechsel geschlossen werden sollten. ## Kategorie 2: VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-411",
        "title": "erstelle einen Englisch-Vokabeltrainer Spaced-Repetition nach Lehrbuch-Einheiten",
        "prompt_number": 411,
        "prompt": "erstelle einen Englisch-Vokabeltrainer Spaced-Repetition nach Lehrbuch-Einheiten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelstapel gegliedert nach Lehrwerk-Units und Klassenstufe 5-10, Spaced-Repetition-Algorithmus SM-2-ähnlich mit automatischer Wiedervorlage, Karteikarten-Modus Vorderseite Deutsch/Englisch umschaltbar, Aussprache-Lautschrift-Hinweis pro Vokabel, Tages-Lernziel mit Streak-Zähler, Fälligkeits-Kalender-Heatmap wie viele Karten heute fällig sind (ApexCharts Kalender), Schreibmodus statt nur Erkennen zur Festigung, Themenwortschatz-Listen School/Home/Free-Time separat übbar, Fortschritts-Dashboard gelernte vs fällige Wörter (D3.js Balken), Offline-Nutzung als PWA ohne Internet, Export eigener schwieriger Wörter als Übungsliste, GSAP Karten-Flip-Animationen - USE CASE: Schüler bereiten sich täglich in kurzen Einheiten auf den nächsten Vokabeltest vor, das nach Lehrwerk-Units sortierte System spart Eltern und Nachhilfelehrern die manuelle Karteikarten-Erstellung.",
        "overview": "erstelle einen Englisch-Vokabeltrainer Spaced-Repetition nach Lehrbuch-Einheiten",
        "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "category_number": 2,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler bereiten sich täglich in kurzen Einheiten auf den nächsten Vokabeltest vor, das nach Lehrwerk-Units sortierte System spart Eltern und Nachhilfelehrern die manuelle Karteikarten-Erstellung.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-412",
        "title": "entwickle einen Französisch-Vokabel-und-Verbtrainer für die Sekundarstufe",
        "prompt_number": 412,
        "prompt": "entwickle einen Französisch-Vokabel-und-Verbtrainer für die Sekundarstufe - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vokabelthemen nach Lehrplan-Kapiteln Famille/École/Loisirs, Verbkonjugations-Trainer présent/passé composé/futur simple mit Endungs-Hervorhebung, Genus-Trainer le/la mit Merkhilfen, Aussprache-Hinweise für typische Fehlerlaute, Karteikasten-Leitner-System mit fünf Fächern, Fortschritts-Dashboard pro Zeitform (ApexCharts Radar), Fehlerkartei häufigster Konjugationsfehler, Diktier-Übung Hörverstehen kurzer Sätze, Themen-Quiz mit Zeitlimit wie in Vokabeltests, Lernstreak-Tracker mit Wochenübersicht, Offline-Modus als installierbare PWA, GSAP Konjugationstabellen-Animationen - USE CASE: Schüler der Sekundarstufe I festigen unregelmäßige Verbformen vor Vokabeltests systematisch, Nachhilfelehrer sehen anhand der Fehlerkartei sofort welche Zeitform noch unsicher ist.",
        "overview": "entwickle einen Französisch-Vokabel-und-Verbtrainer für die Sekundarstufe",
        "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "category_number": 2,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler der Sekundarstufe I festigen unregelmäßige Verbformen vor Vokabeltests systematisch, Nachhilfelehrer sehen anhand der Fehlerkartei sofort welche Zeitform noch unsicher ist.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-413",
        "title": "programmiere einen Latein-Vokabeltrainer mit Stammformen-und-Deklinationstabellen",
        "prompt_number": 413,
        "prompt": "programmiere einen Latein-Vokabeltrainer mit Stammformen-und-Deklinationstabellen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelstapel nach Lehrbuchlektionen mit lateinischem Grundwortschatz, Stammformen-Abfrage zu unregelmäßigen Verben mit allen vier Formen, Deklinationstabellen-Trainer a-, o-, konsonantische Deklination interaktiv ausfüllbar, Karteikasten-System mit Wiedervorlage nach Fehlerquote, Wortarterkennung-Quiz Substantiv/Verb/Adjektiv aus Kontext, Genus-Merkhilfen zu unregelmäßigen Substantiven, Fortschritts-Dashboard pro Lektion (ApexCharts Balken), Etymologie-Hinweise Herkunft moderner Fremdwörter zur Motivation, Klausur-Vokabelliste automatisch aus kommenden Lektionen zusammengestellt, Lernstreak mit Wochenübersicht, Offline-PWA-Nutzung, GSAP Deklinationstabellen-Animationen - USE CASE: Lateinschüler pauken Vokabeln und Stammformen effizient vor der nächsten Vokabelüberprüfung, das System bereitet gezielt auf den im Klausurtrainer benötigten Grundwortschatz vor.",
        "overview": "programmiere einen Latein-Vokabeltrainer mit Stammformen-und-Deklinationstabellen",
        "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "category_number": 2,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Lateinschüler pauken Vokabeln und Stammformen effizient vor der nächsten Vokabelüberprüfung, das System bereitet gezielt auf den im Klausurtrainer benötigten Grundwortschatz vor.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-414",
        "title": "baue eine 5-Sprachen-Grammatik-Kompakt-App Englisch-Französisch-Latein-Spanisch-Deutsch",
        "prompt_number": 414,
        "prompt": "baue eine 5-Sprachen-Grammatik-Kompakt-App Englisch-Französisch-Latein-Spanisch-Deutsch - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprachauswahl-Tabs mit kompakten Grammatikübersichten pro Sprache Zeiten/Fälle/Satzbau, Vergleichsansicht gleiche Grammatikkategorie über alle fünf Sprachen nebeneinander, Kurz-Drill pro Regel mit fünf Übungssätzen, Signalwort-Listen zur Zeitform-Erkennung je Sprache, Eselsbrücken-Sammlung zu schwierigen Regeln, Suchfunktion über alle Grammatikthemen sprachübergreifend, Lesezeichen-Funktion häufig nachgeschlagener Regeln, Fortschritts-Tracker welche Regeln als gefestigt markiert wurden (ApexCharts Radar über fünf Sprachen), Druckansicht als kompakte Merkkarte pro Regel, Offline-Nutzung als PWA im Ranzen ohne Internet, Dunkles augenschonendes Lese-Theme, GSAP Sprachwechsel-Übergangs-Animationen - USE CASE: Schüler mit mehreren Fremdsprachen gleichzeitig schlagen Grammatikregeln kompakt an einem Ort nach statt in fünf verschiedenen Heften zu blättern, die Vergleichsansicht hilft typische Verwechslungen zwischen den Sprachen zu vermeiden.",
        "overview": "baue eine 5-Sprachen-Grammatik-Kompakt-App Englisch-Französisch-Latein-Spanisch-Deutsch",
        "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "category_number": 2,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler mit mehreren Fremdsprachen gleichzeitig schlagen Grammatikregeln kompakt an einem Ort nach statt in fünf verschiedenen Heften zu blättern, die Vergleichsansicht hilft typische Verwechslungen zwischen den Sprachen zu vermeiden.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-415",
        "title": "erstelle einen Spanisch-Vokabeltrainer für das Wahlpflichtfach",
        "prompt_number": 415,
        "prompt": "erstelle einen Spanisch-Vokabeltrainer für das Wahlpflichtfach - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelthemen nach Lehrplan-Einheiten Familia/Colegio/Ciudad, Verbkonjugation presente/pretérito-Trainer mit Endungs-Farbcodierung, Ser-vs-Estar-Unterscheidungs-Übungen mit Erklärung, Karteikasten-Leitner-System, Aussprache-Hinweis zu Betonungsregeln, Fortschritts-Dashboard neue vs gefestigte Vokabeln (ApexCharts Donut), Themen-Quiz mit Zeitlimit, Fehlerkartei häufigster Fehler, Lernstreak-Tracker mit Kalenderansicht, Offline-Modus als PWA, Export Vokabelliste zum Ausdrucken, GSAP Karten-Flip-Animationen - USE CASE: Schüler im Wahlpflichtfach Spanisch bauen systematisch Grundwortschatz auf, Nachhilfelehrer nutzen die App als Ergänzung wenn Spanisch neu als drittes Fremdsprachenfach hinzukommt.",
        "overview": "erstelle einen Spanisch-Vokabeltrainer für das Wahlpflichtfach",
        "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "category_number": 2,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler im Wahlpflichtfach Spanisch bauen systematisch Grundwortschatz auf, Nachhilfelehrer nutzen die App als Ergänzung wenn Spanisch neu als drittes Fremdsprachenfach hinzukommt.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-416",
        "title": "entwickle einen kombinierten Unregelmäßige-Verben-Trainer Englisch-Französisch",
        "prompt_number": 416,
        "prompt": "entwickle einen kombinierten Unregelmäßige-Verben-Trainer Englisch-Französisch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verbliste unregelmäßiger Verben beider Sprachen mit allen Formen, Sprachumschalter Englisch/Französisch/gemischt zum Trainieren, Tipp-Modus Anfangsbuchstabe wird vorgegeben bei Bedarf, Zeitmess-Modus wie schnell werden 20 Verben korrekt genannt, Fehlerstatistik welche Verben am häufigsten falsch sind (ApexCharts Balken), Karteikasten-Wiederholung nach Leitner-Prinzip, Themen-Sets nach Häufigkeit im Schulalphabet sortiert, Highscore-Tracker eigene Bestzeiten, Lernstreak mit Wochenkalender, Offline-Nutzung als PWA, Export Verbliste als Merkzettel, GSAP Formen-Einblend-Animationen - USE CASE: Schüler mit zwei Fremdsprachen gleichzeitig trainieren die verwirrenden unregelmäßigen Verben beider Sprachen getrennt oder gemischt, der Zeitmess-Modus macht aus stumpfem Pauken ein motivierendes Eigenrennen.",
        "overview": "entwickle einen kombinierten Unregelmäßige-Verben-Trainer Englisch-Französisch",
        "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "category_number": 2,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler mit zwei Fremdsprachen gleichzeitig trainieren die verwirrenden unregelmäßigen Verben beider Sprachen getrennt oder gemischt, der Zeitmess-Modus macht aus stumpfem Pauken ein motivierendes Eigenrennen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-417",
        "title": "baue einen fächerübergreifenden Leitner-Karteikasten-Vokabeltrainer",
        "prompt_number": 417,
        "prompt": "baue einen fächerübergreifenden Leitner-Karteikasten-Vokabeltrainer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eigene Kartenstapel anlegen für jedes Fach und jede Fremdsprache, Fünf-Fächer-Leitner-System mit automatischer Wiedervorlage-Logik, Import eigener Vokabellisten als CSV, Karten-Editor mit Bild-Platzhalter und Beispielsatz, Fälligkeits-Übersicht wie viele Karten pro Fach heute anstehen (ApexCharts Balken), Statistik-Dashboard Erfolgsquote pro Fach (D3.js Radar), Lernstreak-Tracker über alle Stapel hinweg, Suchfunktion über alle eigenen Karten, Teilen-Funktion-Mockup eigene Stapel als Datei exportieren für Mitschüler, Offline-Nutzung als installierbare PWA, Erinnerungs-Hinweis bei fälligen Karten, GSAP Fach-Wechsel-Animationen - USE CASE: Schüler bauen sich ein individuelles fachübergreifendes Karteikasten-System für Vokabeln und Fachbegriffe auf, Nachhilfelehrer erstellen für jeden Schüler passgenaue Stapel statt physischer Karteikarten.",
        "overview": "baue einen fächerübergreifenden Leitner-Karteikasten-Vokabeltrainer",
        "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "category_number": 2,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler bauen sich ein individuelles fachübergreifendes Karteikasten-System für Vokabeln und Fachbegriffe auf, Nachhilfelehrer erstellen für jeden Schüler passgenaue Stapel statt physischer Karteikarten.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-418",
        "title": "programmiere einen Hörverstehen-und-Diktat-Trainer für Fremdsprachen",
        "prompt_number": 418,
        "prompt": "programmiere einen Hörverstehen-und-Diktat-Trainer für Fremdsprachen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprachauswahl Englisch/Französisch/Latein-Ausspracheübung, Text-to-Speech-Vorlesefunktion mit einstellbarer Geschwindigkeit, Diktier-Modus Schüler tippt Gehörtes mit automatischem Abgleich, Lückentext-Hörverstehen mit Mehrfachauswahl, Wiederholungs-Buttons einzelne Satzabschnitte erneut anhören, Fehleranalyse Rechtschreibung vs Verständnis (ApexCharts Donut), Schwierigkeitsstufen nach Sprechtempo, Themenauswahl passend zu Klassenstufe, Fortschritts-Historie über mehrere Sitzungen (D3.js Linie), Kopfhörer-Empfehlungs-Hinweis für konzentriertes Üben, Offline-Nutzung soweit Sprachausgabe lokal verfügbar, GSAP Audio-Wellenform-Animationen - USE CASE: Schüler üben Hörverstehen gezielt vor mündlichen Prüfungen und Hörverstehens-Klassenarbeiten, das Diktier-Format verbindet Hörtraining direkt mit Rechtschreibfestigung in der Fremdsprache.",
        "overview": "programmiere einen Hörverstehen-und-Diktat-Trainer für Fremdsprachen",
        "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "category_number": 2,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler üben Hörverstehen gezielt vor mündlichen Prüfungen und Hörverstehens-Klassenarbeiten, das Diktier-Format verbindet Hörtraining direkt mit Rechtschreibfestigung in der Fremdsprache.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-419",
        "title": "erstelle einen Deutsch-als-Zweitsprache-Vokabeltrainer für Schüler",
        "prompt_number": 419,
        "prompt": "erstelle einen Deutsch-als-Zweitsprache-Vokabeltrainer für Schüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundwortschatz-Stapel nach Alltagsthemen Schule/Familie/Einkaufen für DaZ-Anfänger, Bildkarten-Modus Wort mit Symbolbild statt nur Text, Einfache-Sprache-Erklärungen zu Artikeln der/die/das mit Farbcodierung, Alltagssätze-Bausteinkasten zum Üben einfacher Satzstrukturen, Aussprache-Hilfe mit Text-to-Speech, Karteikasten-Wiederholung nach Erfolgsquote, Fortschritts-Dashboard Wortschatzumfang über Zeit (ApexCharts Flächendiagramm), Elternhinweis-Sektion mehrsprachig DE/EN/weitere für Herkunftssprachen, Lernstreak-Tracker kindgerecht mit Symbolen statt Zahlen, Offline-Nutzung als PWA, Druckansicht Bildkarten für zuhause, GSAP Bildkarten-Einblend-Animationen - USE CASE: Schüler mit Migrationshintergrund bauen niedrigschwellig deutschen Grundwortschatz für den Schulalltag auf, Nachhilfelehrer in DaZ-Fördergruppen nutzen die Bildkarten als visuelle Einstiegshilfe ohne Vorkenntnisse vorauszusetzen.",
        "overview": "erstelle einen Deutsch-als-Zweitsprache-Vokabeltrainer für Schüler",
        "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "category_number": 2,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler mit Migrationshintergrund bauen niedrigschwellig deutschen Grundwortschatz für den Schulalltag auf, Nachhilfelehrer in DaZ-Fördergruppen nutzen die Bildkarten als visuelle Einstiegshilfe ohne Vorkenntnisse vorauszusetzen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-420",
        "title": "entwickle ein Klassenzimmer-Vokabel-Quiz im Team-Wettbewerbs-Modus",
        "prompt_number": 420,
        "prompt": "entwickle ein Klassenzimmer-Vokabel-Quiz im Team-Wettbewerbs-Modus - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Team-Einteilung mit Teamnamen statt Schülernamen zum Datenschutz, Buzzer-Simulation schnellste richtige Antwort gewinnt Punkte, Fragenkatalog aus aktuellem Vokabelstapel importierbar, Punktestand-Anzeige live als Ranglisten-Tafel (ApexCharts Balken), Rundenmodus mit steigendem Schwierigkeitsgrad, Joker-System ein Tipp pro Team und Runde, Zeitlimit pro Frage mit Countdown-Anzeige, Moderator-Ansicht für Lehrkraft mit Lösungsschlüssel, Rückblick-Statistik welche Themen am schlechtesten abschnitten (D3.js Balken), Exportierbare-Fragenlisten für nächste Runde, Beamer-taugliche Großansicht, GSAP Punktestand-Update-Animationen - USE CASE: Nachhilfelehrer und Lehrkräfte lockern Vokabelwiederholung durch einen spielerischen Klassenwettbewerb auf, das Teamformat motiviert auch zurückhaltendere Schüler ohne einzelne Kinder bloßzustellen. ## Kategorie 3: FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "overview": "entwickle ein Klassenzimmer-Vokabel-Quiz im Team-Wettbewerbs-Modus",
        "category": "VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)",
        "category_number": 2,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Nachhilfelehrer und Lehrkräfte lockern Vokabelwiederholung durch einen spielerischen Klassenwettbewerb auf, das Teamformat motiviert auch zurückhaltendere Schüler ohne einzelne Kinder bloßzustellen. ## Kategorie 3: FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-421",
        "title": "erstelle eine Mathe-Formelsammlung-to-go interaktiv für die Sekundarstufe",
        "prompt_number": 421,
        "prompt": "erstelle eine Mathe-Formelsammlung-to-go interaktiv für die Sekundarstufe - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Formel-Datenbank kategorisiert Algebra/Geometrie/Funktionen/Stochastik nach Klassenstufe 5-10, Interaktiver Formel-Rechner Variablen eingeben Ergebnis live berechnen, Herleitungs-Schritte einklappbar pro Formel, Beispielaufgabe mit vollständigem Lösungsweg pro Formel, Verwandte-Formeln-Verlinkung als Themen-Netz (D3.js Force-Directed), Volltextsuche über Formelnamen und Anwendungsfälle, Lesezeichen-Sammlung häufig genutzter Formeln, Geometrie-Visualizer Fläche/Umfang/Volumen mit anpassbaren Maßen (ApexCharts), Einheiten-Umrechner-Zusatztool, Druckansicht als kompakte Formelsammlung fürs Etui, Dunkles augenschonendes Lese-Theme, GSAP Formel-Einblend-Animationen - USE CASE: Schüler schlagen Formeln während der Hausaufgaben sofort mit Rechenbeispiel nach statt im Schulbuch zu blättern, in Klassenarbeiten mit erlaubter Formelsammlung dient die Druckansicht als zugelassenes Hilfsmittel.",
        "overview": "erstelle eine Mathe-Formelsammlung-to-go interaktiv für die Sekundarstufe",
        "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "category_number": 3,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler schlagen Formeln während der Hausaufgaben sofort mit Rechenbeispiel nach statt im Schulbuch zu blättern, in Klassenarbeiten mit erlaubter Formelsammlung dient die Druckansicht als zugelassenes Hilfsmittel.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-422",
        "title": "entwickle eine Physik-Formelsammlung mit Experiment-Bezug",
        "prompt_number": 422,
        "prompt": "entwickle eine Physik-Formelsammlung mit Experiment-Bezug - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Datenbank Mechanik/Elektrik/Optik/Wärmelehre nach Klassenstufe, Interaktiver Rechner mit Einheitenkontrolle bei Variableneingabe, Verweis auf typisches Schulexperiment pro Formel als Merkhilfe, Diagramm-Vorschau wie sich Größen zueinander verhalten (ApexCharts), Herleitungs-Schritte einklappbar, Einheiten-Umrechner SI-Einheiten und gebräuchliche Alternativen, Formel-Netz Zusammenhänge zwischen Größen (D3.js), Beispielaufgabe mit Lösungsweg pro Formel, Suchfunktion nach Größe oder Formelname, Lesezeichen für Klassenarbeits-relevante Formeln, Druckansicht als Merkblatt, GSAP Formel-Highlight-Animationen - USE CASE: Schüler verstehen Formeln nicht nur auswendig sondern über den Bezug zum Experiment aus dem Unterricht, Nachhilfelehrer nutzen die App als visuelle Gedächtnisstütze zwischen Theorie und Praxisversuch.",
        "overview": "entwickle eine Physik-Formelsammlung mit Experiment-Bezug",
        "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "category_number": 3,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler verstehen Formeln nicht nur auswendig sondern über den Bezug zum Experiment aus dem Unterricht, Nachhilfelehrer nutzen die App als visuelle Gedächtnisstütze zwischen Theorie und Praxisversuch.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-423",
        "title": "programmiere einen interaktiven Chemie-Periodensystem-Explorer",
        "prompt_number": 423,
        "prompt": "programmiere einen interaktiven Chemie-Periodensystem-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiges Periodensystem als interaktives Raster mit Farbcodierung nach Elementgruppen, Klick auf Element zeigt Steckbrief Ordnungszahl/Masse/Elektronenkonfiguration/Reaktionsfreudigkeit, Elektronenschalen-Visualisierung pro Element (D3.js), Trend-Anzeige Elektronegativität/Atomradius über Perioden und Gruppen (ApexCharts Heatmap), Vergleichsmodus zwei Elemente nebeneinander, Quiz-Modus Element anhand Eigenschaften erraten, Häufige-Verbindungen-Liste pro Element mit Alltagsbezug, Suchfunktion nach Name/Symbol/Ordnungszahl, Klassenstufen-Filter reduzierte Ansicht für Unterstufe, Lesezeichen wichtiger Elemente für Klassenarbeit, Druckansicht Periodensystem als Merkblatt, GSAP Element-Detail-Einblend-Animationen - USE CASE: Schüler erkunden das Periodensystem spielerisch statt es nur auswendig zu lernen, der Vergleichsmodus hilft typische Klassenarbeitsfragen zu Gruppentrends zu verstehen.",
        "overview": "programmiere einen interaktiven Chemie-Periodensystem-Explorer",
        "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "category_number": 3,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler erkunden das Periodensystem spielerisch statt es nur auswendig zu lernen, der Vergleichsmodus hilft typische Klassenarbeitsfragen zu Gruppentrends zu verstehen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-424",
        "title": "baue einen Geometrie-Formel-Visualizer Flächen-und-Volumen",
        "prompt_number": 424,
        "prompt": "baue einen Geometrie-Formel-Visualizer Flächen-und-Volumen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formsammlung Dreieck/Kreis/Trapez/Quader/Zylinder/Kegel/Kugel nach Klassenstufe, Interaktive Schieberegler für Maße mit Live-Neuberechnung von Fläche/Umfang/Volumen, Visuelle Darstellung der Form mit eingezeichneten Maßen (D3.js SVG), Herleitungs-Erklärung warum die Formel so aussieht mit Zerlegungs-Animation, Übungsaufgaben-Generator zur jeweiligen Form mit Lösungsweg, Einheiten-Umrechner cm/m/mm integriert, Vergleichsmodus zwei Formen nebeneinander, Formel-Merkzettel druckbar, Fortschritts-Tracker welche Formen bereits gefestigt sind (ApexCharts Radial), Suchfunktion nach Formname, Dunkles Lese-Theme, GSAP Form-Zerlegungs-Animationen - USE CASE: Schüler verstehen räumliches Vorstellungsvermögen durch die visuelle Herleitung statt reines Formel-Auswendiglernen, die Schieberegler machen sofort sichtbar wie sich Volumen bei Maßänderung verhält.",
        "overview": "baue einen Geometrie-Formel-Visualizer Flächen-und-Volumen",
        "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "category_number": 3,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler verstehen räumliches Vorstellungsvermögen durch die visuelle Herleitung statt reines Formel-Auswendiglernen, die Schieberegler machen sofort sichtbar wie sich Volumen bei Maßänderung verhält.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-425",
        "title": "erstelle einen Universal-Einheiten-Umrechner für den Schulalltag",
        "prompt_number": 425,
        "prompt": "erstelle einen Universal-Einheiten-Umrechner für den Schulalltag - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorien Länge/Fläche/Volumen/Masse/Zeit/Geschwindigkeit/Temperatur nach Lehrplan-Relevanz, Live-Umrechnung bei Eingabe ohne Bestätigungs-Klick, Häufige-Schulaufgaben-Vorlagen km/h in m/s und ähnliche typische Klassenarbeitsumrechnungen, Rechenweg-Anzeige Zwischenschritte der Umrechnung, Merkhilfen-Kärtchen zu Vorsätzen Kilo/Milli/Zenti, Favoriten-Funktion häufig genutzte Umrechnungen anheften, Verlaufshistorie letzte Umrechnungen, Vergleichstabelle SI-Einheiten und gebräuchliche Alternativen, Offline-Nutzung als PWA für unterwegs, Große Bedienelemente auch für jüngere Schüler geeignet, Druckansicht Umrechnungstabellen, GSAP Zahlen-Umrechnungs-Animationen - USE CASE: Schüler prüfen Hausaufgaben-Ergebnisse schnell auf Plausibilität ohne Taschenrechner-Umweg, die Rechenweg-Anzeige hilft die Umrechnungslogik tatsächlich zu verstehen statt nur ein Ergebnis abzulesen.",
        "overview": "erstelle einen Universal-Einheiten-Umrechner für den Schulalltag",
        "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "category_number": 3,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler prüfen Hausaufgaben-Ergebnisse schnell auf Plausibilität ohne Taschenrechner-Umweg, die Rechenweg-Anzeige hilft die Umrechnungslogik tatsächlich zu verstehen statt nur ein Ergebnis abzulesen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-426",
        "title": "entwickle eine Chemie-Formelsammlung mit Stöchiometrie-Rechner",
        "prompt_number": 426,
        "prompt": "entwickle eine Chemie-Formelsammlung mit Stöchiometrie-Rechner - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Datenbank Stoffmenge/Molare-Masse/Konzentration/Reaktionsgleichungen nach Klassenstufe, Interaktiver Stöchiometrie-Rechner Eingabe zweier Größen berechnet die dritte automatisch, Reaktionsgleichungs-Ausgleicher mit Schritt-für-Schritt-Erklärung, Molmassen-Tabelle verknüpft mit Periodensystem-Werten, Beispielaufgabe mit vollständigem Lösungsweg pro Formeltyp, Einheiten-Kontrolle warnt bei Einheitenfehlern, Formel-Netz Zusammenhänge (D3.js), Suchfunktion nach Formelname oder Größe, Lesezeichen klausurrelevanter Formeln, Druckansicht als Merkblatt, Dunkles Lese-Theme, GSAP Rechenschritt-Animationen - USE CASE: Oberstufenschüler lösen Stöchiometrie-Aufgaben nachvollziehbar statt nur das Endergebnis einzugeben, die verknüpfte Molmassen-Tabelle erspart den Griff zum separaten Periodensystem.",
        "overview": "entwickle eine Chemie-Formelsammlung mit Stöchiometrie-Rechner",
        "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "category_number": 3,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Oberstufenschüler lösen Stöchiometrie-Aufgaben nachvollziehbar statt nur das Endergebnis einzugeben, die verknüpfte Molmassen-Tabelle erspart den Griff zum separaten Periodensystem.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-427",
        "title": "baue ein Mathe-Nachschlagewerk Ableitungen-und-Integrale für die Oberstufe",
        "prompt_number": 427,
        "prompt": "baue ein Mathe-Nachschlagewerk Ableitungen-und-Integrale für die Oberstufe - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ableitungsregeln-Katalog Potenz/Produkt/Ketten/Quotientenregel mit Beispielen, Integrationsregeln-Katalog Grundintegrale und partielle Integration, Interaktiver Funktionsgraph zeigt Funktion und Ableitung parallel (ApexCharts/D3.js), Schritt-für-Schritt-Löser bei eingegebener Funktion Ableitung anzeigen, Kurvendiskussion-Checkliste Extrempunkte/Wendepunkte/Monotonie, Anwendungsaufgaben-Beispiele Extremwertprobleme mit Lösungsweg, Formel-Suche nach Funktionstyp, Übungsgenerator einfache Ableitungsaufgaben mit Sofort-Prüfung, Lesezeichen abiturrelevanter Regeln, Druckansicht als Abitur-Merkblatt, Dunkles Lese-Theme für Lernabende, GSAP Funktionsgraph-Zeichen-Animationen - USE CASE: Oberstufenschüler bereiten sich mit visualisierter Kurvendiskussion auf Analysis-Klausuren vor, die parallele Graph-Ansicht macht den Zusammenhang zwischen Funktion und Ableitung intuitiv verständlich.",
        "overview": "baue ein Mathe-Nachschlagewerk Ableitungen-und-Integrale für die Oberstufe",
        "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "category_number": 3,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Oberstufenschüler bereiten sich mit visualisierter Kurvendiskussion auf Analysis-Klausuren vor, die parallele Graph-Ansicht macht den Zusammenhang zwischen Funktion und Ableitung intuitiv verständlich.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-428",
        "title": "programmiere ein Physik-Nachschlagewerk Elektrizitätslehre-Rechner",
        "prompt_number": 428,
        "prompt": "programmiere ein Physik-Nachschlagewerk Elektrizitätslehre-Rechner - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Katalog Ohmsches-Gesetz/Leistung/Reihen-und-Parallelschaltung nach Klassenstufe, Interaktiver Schaltkreis-Rechner Widerstand/Spannung/Stromstärke gegenseitig berechenbar, Schaltplan-Visualisierung einfacher Stromkreise (D3.js SVG), Gesamtwiderstands-Rechner für mehrere Widerstände in Reihe oder parallel, Beispielaufgabe mit Lösungsweg pro Formeltyp, Einheiten-Kontrolle Ampere/Volt/Ohm, Formel-Netz Zusammenhänge zwischen elektrischen Größen (D3.js), Suchfunktion nach Formel oder Größe, Lesezeichen klassenarbeitsrelevanter Formeln, Druckansicht als Merkblatt, Dunkles Lese-Theme, GSAP Schaltkreis-Stromfluss-Animationen - USE CASE: Schüler berechnen Schaltkreis-Aufgaben nachvollziehbar mit visueller Schaltplan-Unterstützung, das Nachschlagewerk dient als schnelle Kontrolle bei Hausaufgaben zur Elektrizitätslehre.",
        "overview": "programmiere ein Physik-Nachschlagewerk Elektrizitätslehre-Rechner",
        "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "category_number": 3,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler berechnen Schaltkreis-Aufgaben nachvollziehbar mit visueller Schaltplan-Unterstützung, das Nachschlagewerk dient als schnelle Kontrolle bei Hausaufgaben zur Elektrizitätslehre.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-429",
        "title": "erstelle ein Biologie-Fachbegriffs-Lexikon interaktiv",
        "prompt_number": 429,
        "prompt": "erstelle ein Biologie-Fachbegriffs-Lexikon interaktiv - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbares Lexikon Fachbegriffe nach Themenbereich Zellbiologie/Genetik/Ökologie/Anatomie, Begriffs-Erklärung in einfacher Sprache mit Fachbegriff-Definition parallel, Verwandte-Begriffe-Verlinkung als Themen-Netz (D3.js Force-Directed), Bildkarten-Diagramme zu komplexen Prozessen Fotosynthese/Zellteilung, Quiz-Modus Begriff der Definition zuordnen, Klassenstufen-Filter reduzierter Wortschatz für Unterstufe, Lesezeichen für Klassenarbeits-relevante Begriffe, Fortschritts-Tracker gelernte Begriffe (ApexCharts Radial), Suchfunktion mit Autovervollständigung, Druckansicht als Glossar, Dunkles Lese-Theme, GSAP Begriffs-Netz-Animationen - USE CASE: Schüler schlagen unbekannte Fachbegriffe aus dem Biologieunterricht sofort verständlich nach, das Begriffs-Netz zeigt Zusammenhänge die im Schulbuch oft isoliert dargestellt werden.",
        "overview": "erstelle ein Biologie-Fachbegriffs-Lexikon interaktiv",
        "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "category_number": 3,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler schlagen unbekannte Fachbegriffe aus dem Biologieunterricht sofort verständlich nach, das Begriffs-Netz zeigt Zusammenhänge die im Schulbuch oft isoliert dargestellt werden.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-430",
        "title": "entwickle ein Mathe-Nachschlagewerk Dreisatz-und-Prozentrechnung für die Unterstufe",
        "prompt_number": 430,
        "prompt": "entwickle ein Mathe-Nachschlagewerk Dreisatz-und-Prozentrechnung für die Unterstufe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erklär-Sektionen proportionaler und umgekehrt proportionaler Dreisatz mit Alltagsbeispielen, Prozentrechnung-Grundformen Grundwert/Prozentsatz/Prozentwert interaktiv berechenbar, Schritt-für-Schritt-Rechenweg-Anzeige bei jeder Aufgabe, Alltagsbeispiele Rabatt/Zinsen/Mischungsverhältnis zur Veranschaulichung, Übungsgenerator mit Sofort-Prüfung nach Schwierigkeitsgrad, Fehleranalyse häufigster Rechenfehler (ApexCharts Balken), Visualisierung Kreisdiagramm für Prozentanteile (ApexCharts Donut), Merksätze-Kärtchen zu Signalwörtern in Textaufgaben, Fortschritts-Tracker über Übungseinheiten, Druckansicht als Merkblatt für Klassenarbeiten, Große kindgerechte Bedienelemente, GSAP Rechenschritt-Animationen - USE CASE: Schüler der 5. und 6. Klasse verstehen Dreisatz und Prozentrechnung über konkrete Alltagsbeispiele statt abstrakter Formeln, Eltern ohne Lehrerausbildung können mit den Erklär-Sektionen selbst beim Üben helfen. ## Kategorie 4: HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "overview": "entwickle ein Mathe-Nachschlagewerk Dreisatz-und-Prozentrechnung für die Unterstufe",
        "category": "FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)",
        "category_number": 3,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler der 5. und 6. Klasse verstehen Dreisatz und Prozentrechnung über konkrete Alltagsbeispiele statt abstrakter Formeln, Eltern ohne Lehrerausbildung können mit den Erklär-Sektionen selbst beim Üben helfen. ## Kategorie 4: HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-431",
        "title": "erstelle einen Hausaufgaben-Tracker für Schüler pro Fach",
        "prompt_number": 431,
        "prompt": "erstelle einen Hausaufgaben-Tracker für Schüler pro Fach - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fächerliste mit Farbcodierung und Aufgaben-Eintrag pro Fach, Fälligkeitsdatum mit Erinnerungs-Countdown, Aufgaben-Kategorien schriftlich/mündlich/Vorbereitung, Erledigt-Abhaken mit Fortschrittsbalken pro Tag, Wochenübersicht als Kalenderansicht, Zeitaufwand-Schätzung vs tatsächliche Zeit pro Aufgabe (ApexCharts Balken), Wiederkehrende-Aufgaben-Vorlage für Vokabellernen, Prioritäten-Kennzeichnung dringend/normal, Eltern-Ansicht erledigt/offen ohne Detaileinsicht in Inhalte, Statistik erledigte Aufgaben pro Fach über Wochen (D3.js Linie), Offline-Nutzung als installierbare PWA, GSAP Abhak-Animationen - USE CASE: Schüler behalten bei mehreren Fächern gleichzeitig den Überblick über offene Hausaufgaben, Eltern sehen auf einen Blick ob Aufgaben erledigt sind ohne in jedes Schulheft schauen zu müssen.",
        "overview": "erstelle einen Hausaufgaben-Tracker für Schüler pro Fach",
        "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "category_number": 4,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler behalten bei mehreren Fächern gleichzeitig den Überblick über offene Hausaufgaben, Eltern sehen auf einen Blick ob Aufgaben erledigt sind ohne in jedes Schulheft schauen zu müssen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-432",
        "title": "entwickle eine Stundenplan-App mit Fächerfarben für Schüler",
        "prompt_number": 432,
        "prompt": "entwickle eine Stundenplan-App mit Fächerfarben für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochenraster-Stundenplan mit frei wählbaren Fächerfarben, Raum- und Lehrer-Kürzel-Eintrag pro Stunde, Vertretungsplan-Hinweis-Eintrag manuell bei Änderungen, Fächer-übergreifende-Materialliste was muss mitgebracht werden, Tagesansicht für unterwegs mit nächster-Stunde-Anzeige, Statistik Unterrichtsstunden pro Fach pro Woche (ApexCharts Donut), AG-und-Nachmittagsangebote-Sektion separat eintragbar, Ferienkalender-Integration mit Countdown, Export Stundenplan als druckbare Übersicht, Wiederholungs-Vorlage für neues Schulhalbjahr, Offline-Nutzung als PWA, GSAP Stunden-Wechsel-Hervorhebungs-Animationen - USE CASE: Schüler behalten bei wechselnden Räumen und Vertretungsstunden den Überblick über den aktuellen Tag, die Materialliste verhindert vergessene Schulbücher am Morgen.",
        "overview": "entwickle eine Stundenplan-App mit Fächerfarben für Schüler",
        "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "category_number": 4,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler behalten bei wechselnden Räumen und Vertretungsstunden den Überblick über den aktuellen Tag, die Materialliste verhindert vergessene Schulbücher am Morgen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-433",
        "title": "programmiere einen Lernplan-Generator rund um Klausurtermine",
        "prompt_number": 433,
        "prompt": "programmiere einen Lernplan-Generator rund um Klausurtermine - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe kommender Klausurtermine mit Fach und Themenumfang, Automatische Rückwärtsplanung Lerneinheiten bis zum Prüfungstag, Spaced-Repetition-Prinzip Themen mehrfach mit Abstand wiederholen statt Bulimie-Lernen, Tages-Lernpaket-Vorschlag mit realistischem Zeitumfang, Kalenderansicht aller anstehenden Klausuren fächerübergreifend, Pufferzeiten-Einplanung für Krankheit oder Verzögerung, Fortschritts-Tracking gegen Plan-Soll (ApexCharts Balken), Überlastungs-Warnung bei zu vielen Klausuren in kurzer Zeit, Anpassungs-Funktion bei verschobenen Terminen, Motivations-Countdown pro Klausur, Export Lernplan als PDF fürs Kinderzimmer, GSAP Zeitleisten-Aufbau-Animationen - USE CASE: Schüler vermeiden Last-Minute-Stress durch frühzeitig verteilte Lerneinheiten statt Nacht-vor-der-Klausur-Pauken, Eltern erkennen anhand der Überlastungs-Warnung wenn zu viele Klausuren in einer Woche zusammenfallen.",
        "overview": "programmiere einen Lernplan-Generator rund um Klausurtermine",
        "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "category_number": 4,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler vermeiden Last-Minute-Stress durch frühzeitig verteilte Lerneinheiten statt Nacht-vor-der-Klausur-Pauken, Eltern erkennen anhand der Überlastungs-Warnung wenn zu viele Klausuren in einer Woche zusammenfallen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-434",
        "title": "baue ein Fach-Zeit-Balance-Dashboard für die Lernzeit-Verteilung",
        "prompt_number": 434,
        "prompt": "baue ein Fach-Zeit-Balance-Dashboard für die Lernzeit-Verteilung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeiterfassung pro Fach über Stoppuhr oder manuelle Eingabe, Wochenübersicht Lernzeit-Verteilung nach Fach (ApexCharts Stacked Bar), Soll-Ist-Vergleich geplante vs tatsächlich investierte Zeit, Vernachlässigte-Fächer-Warnung bei sehr ungleicher Verteilung, Notentrend-Verknüpfung zeigt ob mehr Zeit sich in besseren Noten niederschlägt (D3.js Streudiagramm), Pausenzeiten-Empfehlung nach Pomodoro-Prinzip eingebaut, Tagesrückblick was wurde heute gelernt, Wochenvergleich über mehrere Wochen (ApexCharts Linie), Ziel-Vorgabe Minuten pro Fach pro Woche, Motivations-Badges bei erreichten Zielen, Offline-Nutzung als PWA, GSAP Balken-Update-Animationen - USE CASE: Schüler erkennen objektiv ob ein schwaches Fach tatsächlich zu wenig Lernzeit bekommt, Eltern führen datenbasierte statt gefühlsbasierte Gespräche über die Zeitverteilung beim Lernen.",
        "overview": "baue ein Fach-Zeit-Balance-Dashboard für die Lernzeit-Verteilung",
        "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "category_number": 4,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler erkennen objektiv ob ein schwaches Fach tatsächlich zu wenig Lernzeit bekommt, Eltern führen datenbasierte statt gefühlsbasierte Gespräche über die Zeitverteilung beim Lernen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-435",
        "title": "erstelle einen Wochenrückblick-Lernorganizer für Schüler",
        "prompt_number": 435,
        "prompt": "erstelle einen Wochenrückblick-Lernorganizer für Schüler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wöchentliche Reflexions-Vorlage was lief gut/was war schwierig pro Fach, Erledigte-Aufgaben-Rückblick automatisch aus Hausaufgaben-Tracker übernommen, Notenverlauf-Eintrag mit Selbsteinschätzung vor der nächsten Arbeit, Stimmungs-Tracker einfache Symbol-Auswahl wie fühlte sich die Woche an, Ziel-Setzung für die kommende Woche pro Fach, Fortschritts-Vergleich über mehrere Wochen (ApexCharts Linie), Erfolgs-Sammlung kleine Erfolge werden gesammelt und sichtbar gemacht, Elternteilbare-Zusammenfassung optional freigebbar, Erinnerungs-Funktion sonntags Rückblick auszufüllen, Export Wochenrückblick als PDF, Kindgerechte Symbolsprache statt reiner Textfelder, GSAP Wochenkarten-Umblätter-Animationen - USE CASE: Schüler entwickeln durch regelmäßige Selbstreflexion ein besseres Gefühl für den eigenen Lernfortschritt, die Stimmungs-Tracking-Komponente hilft auch emotionale Belastung durch Schulstress früh sichtbar zu machen.",
        "overview": "erstelle einen Wochenrückblick-Lernorganizer für Schüler",
        "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "category_number": 4,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler entwickeln durch regelmäßige Selbstreflexion ein besseres Gefühl für den eigenen Lernfortschritt, die Stimmungs-Tracking-Komponente hilft auch emotionale Belastung durch Schulstress früh sichtbar zu machen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-436",
        "title": "entwickle einen Klausurenplan-Kalender mit Countdown-Anzeige",
        "prompt_number": 436,
        "prompt": "entwickle einen Klausurenplan-Kalender mit Countdown-Anzeige - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kalenderansicht aller Klausuren und Tests im Schulhalbjahr, Countdown-Kacheln pro anstehender Prüfung mit verbleibenden Tagen, Themen-Notiz-Feld pro Klausur was wird geprüft, Klausurdichte-Warnung bei mehreren Prüfungen in derselben Woche, Verknüpfung zum Lernplan-Generator für automatische Vorbereitung, Notenrückmeldung nach der Klausur zur Nachverfolgung (ApexCharts Linie), Fächerübergreifende Ansicht Ampel-Farben je nach Nähe des Termins, Halbjahres-Übersicht alle Klausurtermine auf einen Blick, Export als druckbarer Kalender fürs Zimmer, Erinnerungs-Push-Mockup einen Tag vorher, Feiertags-und-Ferien-Integration, GSAP Countdown-Ablauf-Animationen - USE CASE: Schüler verlieren bei vielen Fächern nicht den Überblick über anstehende Klassenarbeiten, die Klausurdichte-Warnung hilft frühzeitig zu erkennen wenn eine Woche besonders anstrengend wird.",
        "overview": "entwickle einen Klausurenplan-Kalender mit Countdown-Anzeige",
        "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "category_number": 4,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler verlieren bei vielen Fächern nicht den Überblick über anstehende Klassenarbeiten, die Klausurdichte-Warnung hilft frühzeitig zu erkennen wenn eine Woche besonders anstrengend wird.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-437",
        "title": "baue ein digitales Hausaufgabenheft mit Eltern-Einsicht",
        "prompt_number": 437,
        "prompt": "baue ein digitales Hausaufgabenheft mit Eltern-Einsicht - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tägliche Hausaufgaben-Einträge pro Fach wie im klassischen Hausaufgabenheft, Unterschrift-Simulation Eltern bestätigen digital Kenntnisnahme statt Papierunterschrift, Erledigt-Status mit Zeitstempel, Foto-Platzhalter-Hinweis bewusst ohne echten Foto-Upload zum Schutz der Privatsphäre, Wochenübersicht kompakt für schnellen Elternblick, Vergessene-Aufgaben-Historie zur Selbstreflexion, Statistik erledigte vs vergessene Aufgaben (ApexCharts Balken), Erinnerungsfunktion für wiederkehrende Aufgaben, Export als PDF für Elterngespräche, Mehrkind-Umschaltung getrennte Profile ohne Klarnamen nur Vornamen-Kürzel, Offline-Nutzung als PWA, GSAP Tagesabschluss-Animationen - USE CASE: Familien mit Grundschulkindern digitalisieren das klassische Hausaufgabenheft ohne die gewohnte Eltern-Kontrollfunktion zu verlieren, Lehrkräfte können bei Bedarf denselben Überblick über Erledigungsquoten nutzen.",
        "overview": "baue ein digitales Hausaufgabenheft mit Eltern-Einsicht",
        "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "category_number": 4,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Familien mit Grundschulkindern digitalisieren das klassische Hausaufgabenheft ohne die gewohnte Eltern-Kontrollfunktion zu verlieren, Lehrkräfte können bei Bedarf denselben Überblick über Erledigungsquoten nutzen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-438",
        "title": "programmiere einen Referats-und-Projektplaner für die Schule",
        "prompt_number": 438,
        "prompt": "programmiere einen Referats-und-Projektplaner für die Schule - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Projekt-Anlage mit Thema/Fach/Abgabetermin, Meilenstein-Planer Recherche/Gliederung/Ausarbeitung/Probevortrag mit Teilfristen, Quellen-Sammlung mit einfacher Zitationsvorlage, Foliengliederungs-Vorlage für Präsentationen, Fortschrittsbalken pro Meilenstein (ApexCharts Radial), Probevortrag-Timer mit Zeitlimit-Kontrolle, Feedback-Notizen nach Probevortrag von Eltern oder Nachhilfelehrer, Checkliste Materialien für den Vortragstag, Gruppenarbeit-Modus Aufgabenverteilung bei Partnerreferaten, Erinnerungs-Countdown bis zur Abgabe, Export Gliederung als PDF, GSAP Meilenstein-Fortschritts-Animationen - USE CASE: Schüler strukturieren größere Referate und Projektarbeiten in überschaubare Etappen statt alles kurz vorher zu erledigen, der Probevortrag-Timer hilft die vorgegebene Redezeit realistisch einzuschätzen.",
        "overview": "programmiere einen Referats-und-Projektplaner für die Schule",
        "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "category_number": 4,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler strukturieren größere Referate und Projektarbeiten in überschaubare Etappen statt alles kurz vorher zu erledigen, der Probevortrag-Timer hilft die vorgegebene Redezeit realistisch einzuschätzen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-439",
        "title": "erstelle einen Lernplan-Generator für Nachprüfung-und-Nachschreibetermin",
        "prompt_number": 439,
        "prompt": "erstelle einen Lernplan-Generator für Nachprüfung-und-Nachschreibetermin - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe des Nachschreibetermins und der verpassten Themenbereiche, Intensiv-Lernplan mit täglichen Etappen bis zum Termin, Prioritäten-Sortierung schwierigste Themen zuerst bei mehr Zeitpuffer, Verknüpfung zu passenden Übungstests aus der Testbibliothek, Stress-Reduktions-Hinweise bei besonders kurzer Vorbereitungszeit, Fortschritts-Tracking gegen Plan-Soll (ApexCharts Balken), Themen-Checkliste zum Abhaken, Elternhinweis-Sektion wie unterstützend statt zusätzlich Druck aufgebaut werden kann, Motivations-Countdown, Export Lernplan als PDF, Erinnerungsfunktion für Lerneinheiten, GSAP Zeitplan-Kompressions-Animationen - USE CASE: Schüler nach Krankheit oder verpasster Klassenarbeit organisieren die Nachholphase strukturiert statt überfordert zu sein, Nachhilfelehrer erstellen in kurzer Zeit einen realistischen Intensivplan für die verbleibenden Tage.",
        "overview": "erstelle einen Lernplan-Generator für Nachprüfung-und-Nachschreibetermin",
        "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "category_number": 4,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler nach Krankheit oder verpasster Klassenarbeit organisieren die Nachholphase strukturiert statt überfordert zu sein, Nachhilfelehrer erstellen in kurzer Zeit einen realistischen Intensivplan für die verbleibenden Tage.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-440",
        "title": "entwickle eine Multi-Fach-Prioritäten-Matrix für Schüler-Lernorganisation",
        "prompt_number": 440,
        "prompt": "entwickle eine Multi-Fach-Prioritäten-Matrix für Schüler-Lernorganisation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Eisenhower-Matrix-Prinzip angepasst für Schulaufgaben dringend/wichtig in vier Quadranten, Drag-and-Drop-Einordnung von Aufgaben in die Matrix, Automatische Vorsortierung nach Fälligkeitsdatum als Vorschlag, Tagesplan-Ableitung aus der Matrix was wird heute zuerst erledigt, Fächer-Farbcodierung innerhalb der Matrix, Wochenrückblick wie viele wichtige Aufgaben rechtzeitig erledigt wurden (ApexCharts Balken), Überforderungs-Warnung zu viele dringend-wichtige Aufgaben gleichzeitig, Erklär-Tutorial für Schüler was die Matrix bedeutet mit Beispielen, Erinnerungsfunktion für liegengebliebene wichtige Aufgaben, Export Tagesplan als Checkliste, Kindgerechte Vereinfachung für jüngere Nutzer, GSAP Quadranten-Verschiebungs-Animationen - USE CASE: Ältere Schüler lernen frühzeitig eine Priorisierungsmethode die auch später im Studium und Beruf nützlich bleibt, Nachhilfelehrer nutzen die Matrix um Schülern bei Prokrastination sichtbar zu machen was wirklich zuerst dran ist. ## Kategorie 5: PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "overview": "entwickle eine Multi-Fach-Prioritäten-Matrix für Schüler-Lernorganisation",
        "category": "HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)",
        "category_number": 4,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Ältere Schüler lernen frühzeitig eine Priorisierungsmethode die auch später im Studium und Beruf nützlich bleibt, Nachhilfelehrer nutzen die Matrix um Schülern bei Prokrastination sichtbar zu machen was wirklich zuerst dran ist. ## Kategorie 5: PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-441",
        "title": "erstelle eine Prüfungsangst-Atemübungs-App für vor der Klausur",
        "prompt_number": 441,
        "prompt": "erstelle eine Prüfungsangst-Atemübungs-App für vor der Klausur - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Geführte Atemübungen 4-7-8-Technik und Box-Breathing mit visueller Kreis-Animation, Countdown-Timer bis Klausurbeginn mit letzter-Minute-Beruhigungsübung, Kurzentspannungs-Sequenzen 2/5/10-Minuten wählbar je nach verfügbarer Zeit, Körperscan-Anleitung zur Anspannungs-Lockerung vor der Prüfung, Positive-Affirmationen-Karten alters- und situationsgerecht formuliert, Herzfrequenz-Beruhigungs-Visualisierung Mock ohne echte Sensorik, Stimmungs-Check vorher-nachher mit einfacher Skala, Verlaufsstatistik genutzte Übungen über Zeit (ApexCharts Balken), Offline-Nutzung ohne Internet direkt vor der Klausur im Klassenzimmer, Keine Datenerhebung außer lokal gespeicherter Stimmungswerte, Erinnerungsfunktion am Klausurtag, GSAP Atem-Kreis-Animationen - USE CASE: Schüler mit Prüfungsangst nutzen die App in den letzten Minuten vor einer Klausur zur akuten Beruhigung, Nachhilfelehrer empfehlen die Übungen als niedrigschwelligen Einstieg in Entspannungstechniken ohne therapeutischen Anspruch.",
        "overview": "erstelle eine Prüfungsangst-Atemübungs-App für vor der Klausur",
        "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "category_number": 5,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler mit Prüfungsangst nutzen die App in den letzten Minuten vor einer Klausur zur akuten Beruhigung, Nachhilfelehrer empfehlen die Übungen als niedrigschwelligen Einstieg in Entspannungstechniken ohne therapeutischen Anspruch.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-442",
        "title": "entwickle einen Pomodoro-Lerntimer speziell für Schüler",
        "prompt_number": 442,
        "prompt": "entwickle einen Pomodoro-Lerntimer speziell für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassisches Pomodoro-Prinzip 25-Minuten-Lernblöcke mit 5-Minuten-Pausen kindgerecht erklärt, Anpassbare Intervalllängen je nach Alter und Konzentrationsfähigkeit, Fach-Zuordnung pro Pomodoro-Block, Pausenaktivitäts-Vorschläge Bewegung statt Bildschirmzeit, Tagesstatistik abgeschlossene Lernblöcke pro Fach (ApexCharts Balken), Fokus-Modus blendet Ablenkungshinweise ein bei zu häufigem Abbrechen, Belohnungs-System kleine Erfolge nach X abgeschlossenen Blöcken, Wochenübersicht Lernblöcke im Verlauf (D3.js Kalender-Heatmap), Sanfter Ton statt schrillem Alarm zum Pausenende, Offline-Nutzung als PWA, Erklär-Tutorial für Eltern und Schüler zur Methode, GSAP Timer-Fortschritts-Animationen - USE CASE: Schüler mit Konzentrationsschwierigkeiten strukturieren Lernzeit in überschaubare Etappen statt endloser unstrukturierter Lernabende, die kindgerechte Erklärung macht die Methode auch für Grundschüler zugänglich.",
        "overview": "entwickle einen Pomodoro-Lerntimer speziell für Schüler",
        "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "category_number": 5,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler mit Konzentrationsschwierigkeiten strukturieren Lernzeit in überschaubare Etappen statt endloser unstrukturierter Lernabende, die kindgerechte Erklärung macht die Methode auch für Grundschüler zugänglich.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-443",
        "title": "programmiere einen Active-Recall-und-Spaced-Repetition-Coach",
        "prompt_number": 443,
        "prompt": "programmiere einen Active-Recall-und-Spaced-Repetition-Coach - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Erklär-Modul was Active Recall ist mit einfachen Schul-Beispielen, Selbsttest-Generator eigene Lernkarten statt reines Wiederlesen von Notizen, Spaced-Repetition-Kalender zeigt wann welches Thema wiederholt werden sollte, Vergleichs-Demo Wiederlesen vs aktives Abfragen mit simulierten Ergebnissen, Eigene-Themenkarten-Erstellung fächerübergreifend, Fälligkeits-Übersicht wie im Vokabeltrainer aber für beliebige Lerninhalte, Erfolgs-Statistik wie sich Erinnerungsquote über Wiederholungen verbessert (ApexCharts Linie), Lerntechnik-Bibliothek weitere Methoden kurz erklärt, Motivations-Hinweise warum Pauken am Vorabend weniger effektiv ist, Offline-Nutzung als PWA, Kindgerechte Sprache in Erklärungen, GSAP Erinnerungskurven-Animationen - USE CASE: Schüler lernen eine wissenschaftlich fundierte Lerntechnik kennen statt nur wiederholt Texte durchzulesen, Nachhilfelehrer vermitteln damit eine Methode die über die aktuelle Klassenarbeit hinaus für die gesamte Schulzeit nützlich bleibt.",
        "overview": "programmiere einen Active-Recall-und-Spaced-Repetition-Coach",
        "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "category_number": 5,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler lernen eine wissenschaftlich fundierte Lerntechnik kennen statt nur wiederholt Texte durchzulesen, Nachhilfelehrer vermitteln damit eine Methode die über die aktuelle Klassenarbeit hinaus für die gesamte Schulzeit nützlich bleibt.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-444",
        "title": "baue ein Mindmapping-Tool für Schüler zur Lernstoff-Visualisierung",
        "prompt_number": 444,
        "prompt": "baue ein Mindmapping-Tool für Schüler zur Lernstoff-Visualisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale-Themen-Erstellung mit frei verschiebbaren Ästen und Unterästen, Farbcodierung nach Fach oder Themenbereich, Bild-Symbol-Einfügung als Merkhilfe pro Ast, Vorlagen-Bibliothek fertige Mindmap-Strukturen für typische Schulthemen, Verknüpfungs-Linien zwischen entfernten Ästen für Querverbindungen, Export als Bild für Klausurvorbereitung zum Ausdrucken, Zoombare Ansicht bei großen Mindmaps (D3.js Zoom), Zusammenarbeits-Hinweis-Mockup für Gruppenarbeiten, Undo-Redo-Funktion, Automatisches Speichern während der Bearbeitung, Anfänger-Tutorial wie man eine gute Mindmap aufbaut, GSAP Ast-Erscheinungs-Animationen - USE CASE: Schüler strukturieren komplexe Themen wie Geschichtsepochen oder biologische Zusammenhänge visuell statt in linearen Textnotizen, das Werkzeug eignet sich besonders für visuelle Lerntypen die mit reinen Textzusammenfassungen wenig anfangen können.",
        "overview": "baue ein Mindmapping-Tool für Schüler zur Lernstoff-Visualisierung",
        "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "category_number": 5,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler strukturieren komplexe Themen wie Geschichtsepochen oder biologische Zusammenhänge visuell statt in linearen Textnotizen, das Werkzeug eignet sich besonders für visuelle Lerntypen die mit reinen Textzusammenfassungen wenig anfangen können.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-445",
        "title": "erstelle einen Motivations-Tracker mit Belohnungssystem für Lernziele",
        "prompt_number": 445,
        "prompt": "erstelle einen Motivations-Tracker mit Belohnungssystem für Lernziele - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eigene Lernziele definieren mit realistischem Zeitrahmen, Fortschritts-Balken pro Ziel mit Teilschritten, Sammel-Punkte-System für erledigte Lerneinheiten statt Geldwert-Belohnungen, Abzeichen-Galerie freischaltbare Symbole bei Meilensteinen, Streak-Anzeige aufeinanderfolgende Lerntage, Selbstgewählte-Belohnungen eintragbar z.B. Freizeitaktivität statt vorgegebener Konsum-Anreize, Wochenrückblick erreichte vs verpasste Ziele (ApexCharts Balken), Rückschlags-freundliche Sprache bei verpassten Zielen ohne Bestrafungslogik, Eltern-Einsicht optional zum gemeinsamen Feiern von Erfolgen, Erinnerungsfunktion für gesetzte Ziele, Altersgerechtes buntes aber nicht überreizendes Design, GSAP Abzeichen-Freischalt-Animationen - USE CASE: Schüler bleiben über längere Zeiträume wie ein ganzes Schulhalbjahr motiviert an selbstgesetzten Lernzielen dran, das punktebasierte statt geldbasierte System fördert intrinsische Motivation ohne Konsumdruck.",
        "overview": "erstelle einen Motivations-Tracker mit Belohnungssystem für Lernziele",
        "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "category_number": 5,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler bleiben über längere Zeiträume wie ein ganzes Schulhalbjahr motiviert an selbstgesetzten Lernzielen dran, das punktebasierte statt geldbasierte System fördert intrinsische Motivation ohne Konsumdruck.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-446",
        "title": "entwickle eine Entspannungs-und-Achtsamkeits-App vor Prüfungen",
        "prompt_number": 446,
        "prompt": "entwickle eine Entspannungs-und-Achtsamkeits-App vor Prüfungen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurze geführte Achtsamkeitsübungen 3-5 Minuten altersgerecht formuliert, Progressive-Muskelentspannung-Anleitung Schritt für Schritt, Visualisierungs-Übung sicherer-Ort-Vorstellung vor stressigen Situationen, Gedanken-Stopp-Technik-Anleitung bei Grübelschleifen vor der Klausur, Tages-Stimmungs-Tagebuch mit einfachen Emoji-Symbolen, Sanfte Hintergrundklänge-Auswahl Natur/Stille, Verlaufsstatistik genutzte Übungen und Stimmungstrend (ApexCharts Linie), Eltern-Info-Sektion Anzeichen von echtem Prüfungsangst-Leidensdruck erkennen mit Hinweis auf professionelle Hilfe, Keine Registrierung nötig komplett lokal gespeichert, Offline-Nutzung im Klassenzimmer, Ruhiges nicht-reizüberflutendes Design, GSAP sanfte Übergangs-Animationen - USE CASE: Schüler bauen mit kurzen täglichen Übungen allgemeine Stressresilienz auf statt nur akut vor der Klausur zu reagieren, die Eltern-Info-Sektion hilft ernsthafte Angstsymptome von normaler Prüfungsnervosität zu unterscheiden.",
        "overview": "entwickle eine Entspannungs-und-Achtsamkeits-App vor Prüfungen",
        "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "category_number": 5,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler bauen mit kurzen täglichen Übungen allgemeine Stressresilienz auf statt nur akut vor der Klausur zu reagieren, die Eltern-Info-Sektion hilft ernsthafte Angstsymptome von normaler Prüfungsnervosität zu unterscheiden.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-447",
        "title": "programmiere einen interaktiven Lerntechniken-Explainer für Schüler",
        "prompt_number": 447,
        "prompt": "programmiere einen interaktiven Lerntechniken-Explainer für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Methoden-Bibliothek Cornell-Methode/Loci-Methode/Karteikasten/Mindmapping/Pomodoro mit kurzen Erklärvideos-Platzhaltern, Interaktives Ausprobieren jeder Methode an einem Beispielthema direkt in der App, Eignungs-Test welche Methode passt zu meinem Lerntyp mit Auswertung, Vergleichstabelle Vor-und-Nachteile pro Methode, Schritt-für-Schritt-Anleitungen mit Beispielen aus echten Schulfächern, Erfolgsgeschichten-Sektion wie andere Schüler die Methode nutzen, Fortschritts-Tracker welche Methoden bereits ausprobiert wurden (ApexCharts Radial), Quiz zum Verständnis-Check nach jeder Methode, Empfehlungs-Kombination mehrere Methoden sinnvoll kombinieren, Druckversion Methoden-Spickzettel, GSAP Methoden-Karten-Umblätter-Animationen - USE CASE: Schüler entdecken durch praktisches Ausprobieren welche Lerntechnik tatsächlich zu ihnen passt statt nur davon zu hören, Nachhilfelehrer nutzen die App als strukturierte Einführung in Lernstrategien zu Beginn der Zusammenarbeit.",
        "overview": "programmiere einen interaktiven Lerntechniken-Explainer für Schüler",
        "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "category_number": 5,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler entdecken durch praktisches Ausprobieren welche Lerntechnik tatsächlich zu ihnen passt statt nur davon zu hören, Nachhilfelehrer nutzen die App als strukturierte Einführung in Lernstrategien zu Beginn der Zusammenarbeit.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-448",
        "title": "baue eine Prüfungssimulation mit Stressbewältigungs-Feedback",
        "prompt_number": 448,
        "prompt": "baue eine Prüfungssimulation mit Stressbewältigungs-Feedback - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Realistische Klausur-Simulation mit Zeitdruck und typischer Prüfungsatmosphäre-Beschreibung, Vor-der-Simulation-Atemübung zur Einstimmung, Stimmungs-Check vor und nach der Simulation, Selbsteinschätzungs-Fragebogen wie sicher fühlte sich der Schüler während der Bearbeitung, Verzögerungs-Erkennung bei welchen Aufgabentypen entsteht Stress-Zeitverlust, Nachbesprechungs-Modul was lief gut/was war stressig mit konkreten Tipps, Wiederholungs-Simulationen zum Vergleich der Stress-Entwicklung über Zeit (ApexCharts Linie), Ruhepausen-Simulation eingebaute kurze Verschnaufpause während längerer Tests, Positive-Verstärkung nach erfolgreicher Bewältigung, Elternhinweis nur bei wiederholt sehr hohem Stresslevel sichtbar, Keine echten Noten nur Übungscharakter betont, GSAP Simulations-Umgebungs-Animationen - USE CASE: Schüler mit ausgeprägter Prüfungsangst gewöhnen sich schrittweise an die Prüfungssituation in einem sicheren Rahmen, Nachhilfelehrer erkennen anhand der Verzögerungs-Erkennung welche Aufgabentypen besonders Stress auslösen.",
        "overview": "baue eine Prüfungssimulation mit Stressbewältigungs-Feedback",
        "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "category_number": 5,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler mit ausgeprägter Prüfungsangst gewöhnen sich schrittweise an die Prüfungssituation in einem sicheren Rahmen, Nachhilfelehrer erkennen anhand der Verzögerungs-Erkennung welche Aufgabentypen besonders Stress auslösen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-449",
        "title": "erstelle einen Konzentrations-Trainer mit Fokus-Übungen für Schüler",
        "prompt_number": 449,
        "prompt": "erstelle einen Konzentrations-Trainer mit Fokus-Übungen für Schüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze Konzentrationsspiele Zahlen-Merken/Muster-Erkennen/Reaktionstest altersgerecht, Trainingsplan mit steigender Schwierigkeit über mehrere Wochen, Ablenkungs-Simulation Übungen bewusst mit Störgeräuschen zum Fokus-Training, Fortschritts-Statistik Konzentrationsspanne über Zeit (ApexCharts Linie), Vergleich zu eigenen Bestwerten als Motivation statt Vergleich mit anderen Kindern, Kurze-Pausen-Empfehlung zwischen Übungseinheiten, Bildschirmzeit-Begrenzungs-Hinweis eingebaute Erinnerung nach 15 Minuten Pause zu machen, Eltern-Info-Sektion wie Konzentrationsfähigkeit sich altersgerecht entwickelt, Kindgerechtes farbenfrohes aber ruhiges Design, Offline-Nutzung als PWA, Keine Werbung und keine Suchtmechaniken bewusst vermieden, GSAP Übungs-Erfolgs-Animationen - USE CASE: Schüler mit Konzentrationsschwierigkeiten trainieren spielerisch ihre Fokusfähigkeit in kurzen sicheren Einheiten, das bewusste Vermeiden von Suchtmechaniken unterscheidet die App von kommerziellen Gehirnjogging-Apps mit Dauernutzungs-Anreiz.",
        "overview": "erstelle einen Konzentrations-Trainer mit Fokus-Übungen für Schüler",
        "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "category_number": 5,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler mit Konzentrationsschwierigkeiten trainieren spielerisch ihre Fokusfähigkeit in kurzen sicheren Einheiten, das bewusste Vermeiden von Suchtmechaniken unterscheidet die App von kommerziellen Gehirnjogging-Apps mit Dauernutzungs-Anreiz.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-450",
        "title": "entwickle einen Positive-Selbstgespräch-Coach vor Prüfungen für Schüler",
        "prompt_number": 450,
        "prompt": "entwickle einen Positive-Selbstgespräch-Coach vor Prüfungen für Schüler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bibliothek positiver alters- und situationsgerechter Affirmationen gegen negative Gedankenspiralen, Gedanken-Umformulierungs-Übung negativer Gedanke wird gemeinsam in konstruktiven Gedanken umgewandelt, Erfolgstagebuch vergangene gemeisterte Herausforderungen als Erinnerung an eigene Fähigkeiten, Tages-Mantra-Auswahl vor der Klausur, Kurzes Reflexions-Ritual nach jeder Prüfung unabhängig vom Ergebnis, Fortschritts-Sammlung gesammelter positiver Selbstgespräche über Zeit, Eltern-Leitfaden wie man Kinder unterstützend statt bewertend anspricht, Kindgerechte einfache Sprache ohne psychologischen Fachjargon, Keine Bewertung oder Vergleich mit anderen eingebaut, Offline-Nutzung ohne Internet direkt im Klassenzimmer, Ruhiges Design ohne Reizüberflutung, GSAP sanfte Text-Einblend-Animationen - USE CASE: Schüler mit negativem inneren Dialog vor Prüfungen lernen eine konstruktivere Selbstansprache, das Erfolgstagebuch macht sichtbar dass bereits viele Herausforderungen erfolgreich gemeistert wurden. ## Kategorie 6: ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "overview": "entwickle einen Positive-Selbstgespräch-Coach vor Prüfungen für Schüler",
        "category": "PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)",
        "category_number": 5,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler mit negativem inneren Dialog vor Prüfungen lernen eine konstruktivere Selbstansprache, das Erfolgstagebuch macht sichtbar dass bereits viele Herausforderungen erfolgreich gemeistert wurden. ## Kategorie 6: ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-451",
        "title": "erstelle ein Eltern-Fortschrittsdashboard zum Lernstand des Kindes",
        "prompt_number": 451,
        "prompt": "erstelle ein Eltern-Fortschrittsdashboard zum Lernstand des Kindes - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übersicht Notentrend pro Fach über das Schulhalbjahr (ApexCharts Linie), Lernzeit-Zusammenfassung aus Hausaufgaben- und Lernplan-Tracker automatisch übernommen, Stärken-und-Schwächen-Radar pro Fach (D3.js Radar), Bevorstehende-Klausuren-Übersicht mit Vorbereitungsstand, Erfolgs-Highlights positive Entwicklungen hervorgehoben statt nur Probleme, Wochenzusammenfassung als kurzer verständlicher Textbericht automatisch generiert, Vergleich zu eigenen Vorperioden nicht zu anderen Kindern, Gesprächsleitfaden-Vorschläge für konstruktive Elterngespräche, Datenschutz-Hinweis alle Daten bleiben lokal auf dem Familiengerät, Mehrkind-Umschaltung mit getrennten Profilen, Export als PDF für Elternabend, GSAP Dashboard-Aufbau-Animationen - USE CASE: Eltern verschaffen sich einen sachlichen Überblick über den Lernfortschritt ihres Kindes ohne täglich nachfragen zu müssen, die Erfolgs-Highlights helfen das Gespräch positiv statt nur problemorientiert zu führen.",
        "overview": "erstelle ein Eltern-Fortschrittsdashboard zum Lernstand des Kindes",
        "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "category_number": 6,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Eltern verschaffen sich einen sachlichen Überblick über den Lernfortschritt ihres Kindes ohne täglich nachfragen zu müssen, die Erfolgs-Highlights helfen das Gespräch positiv statt nur problemorientiert zu führen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-452",
        "title": "entwickle ein Eltern-Kind-Hausaufgaben-Check-Tool für gemeinsames Arbeiten",
        "prompt_number": 452,
        "prompt": "entwickle ein Eltern-Kind-Hausaufgaben-Check-Tool für gemeinsames Arbeiten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsame Checkliste Hausaufgaben durchgehen mit Ampel-Status pro Aufgabe, Verständnis-Check-Fragen die Eltern dem Kind stellen können ohne selbst Fachexperte zu sein, Erklär-Hinweise zu Fachbegriffen für Eltern die den Schulstoff nicht mehr präsent haben, Zeitschätzung wie lange die gemeinsame Kontrolle dauern sollte, Positive-Rückmeldungs-Vorlagen wie man Fehler konstruktiv anspricht, Fortschritts-Historie über Wochen wie oft gemeinsame Kontrolle stattfand (ApexCharts Balken), Selbstständigkeits-Tracker zunehmend eigenständige Erledigung als Ziel sichtbar machen, Erinnerungsfunktion für die gemeinsame Check-Zeit, Kindgerechte Ansicht parallel zur Eltern-Ansicht, Offline-Nutzung als PWA, GSAP Check-Abhak-Animationen - USE CASE: Eltern ohne Fachkenntnisse im jeweiligen Schulfach begleiten die Hausaufgabenkontrolle trotzdem strukturiert, der Selbstständigkeits-Tracker macht sichtbar wenn das Kind schrittweise weniger Begleitung braucht.",
        "overview": "entwickle ein Eltern-Kind-Hausaufgaben-Check-Tool für gemeinsames Arbeiten",
        "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "category_number": 6,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Eltern ohne Fachkenntnisse im jeweiligen Schulfach begleiten die Hausaufgabenkontrolle trotzdem strukturiert, der Selbstständigkeits-Tracker macht sichtbar wenn das Kind schrittweise weniger Begleitung braucht.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-453",
        "title": "programmiere ein Kommunikationslog zwischen Eltern und Nachhilfelehrer",
        "prompt_number": 453,
        "prompt": "programmiere ein Kommunikationslog zwischen Eltern und Nachhilfelehrer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Chronologischer Nachrichtenverlauf zu einzelnen Nachhilfestunden, Stundenbericht-Vorlage vom Nachhilfelehrer Thema/Fortschritt/nächste Schritte, Fragen-Sektion für Eltern zwischen den Stunden, Terminübersicht kommende Nachhilfestunden mit Bestätigungs-Status, Lernziel-Verlauf gemeinsam vereinbarte Ziele mit Fortschrittsstatus, Notenentwicklung-Verknüpfung zur Erfolgskontrolle (ApexCharts Linie), Zahlungsstatus-Übersicht für Transparenz bei Stundenpaketen, Feedback-Formular nach jeder Stunde beidseitig, Dateiaustausch-Bereich-Mockup für Übungsmaterial, Datenschutz-bewusst nur notwendige Informationen keine sensiblen Schulnoten-Details ohne Zustimmung, Erinnerungsfunktion für anstehende Termine, GSAP Nachrichtenverlauf-Einblend-Animationen - USE CASE: Eltern und Nachhilfelehrer halten Absprachen und Fortschritte nachvollziehbar fest statt sich auf mündliche Erinnerung zu verlassen, Transparenz über Lernziele und Zahlungsstatus vermeidet Missverständnisse über die Zusammenarbeit.",
        "overview": "programmiere ein Kommunikationslog zwischen Eltern und Nachhilfelehrer",
        "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "category_number": 6,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Eltern und Nachhilfelehrer halten Absprachen und Fortschritte nachvollziehbar fest statt sich auf mündliche Erinnerung zu verlassen, Transparenz über Lernziele und Zahlungsstatus vermeidet Missverständnisse über die Zusammenarbeit.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-454",
        "title": "baue ein altersgerechtes Belohnungssystem für erledigte Lernziele",
        "prompt_number": 454,
        "prompt": "baue ein altersgerechtes Belohnungssystem für erledigte Lernziele - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsam mit Eltern definierte Lernziele mit fairen erreichbaren Etappen, Sticker-und-Abzeichen-Sammlung statt monetärer Belohnung im Vordergrund, Punktekonto für erledigte Lerneinheiten das in selbstgewählte kleine Belohnungen eingetauscht werden kann, Familien-Belohnungs-Katalog gemeinsam erstellt Ausflug/Spielzeit/Wunschessen, Fortschritts-Anzeige kindgerecht mit Symbolen statt Zahlen für jüngere Kinder, Eltern-Kind-gemeinsame-Freigabe für Belohnungen als Ritual, Wochenrückblick als gemeinsames Familienritual, Verlaufsstatistik erreichte Ziele über Zeit (ApexCharts Balken), Fairness-Hinweise Belohnung an Anstrengung statt nur an Note koppeln, Keine Bestrafungs-Logik bei verpassten Zielen nur Ermutigung, Buntes aber nicht reizüberflutendes Design, GSAP Belohnungs-Freischalt-Animationen - USE CASE: Familien gestalten Motivation für Lernziele gemeinsam statt einseitig vorzugeben, die Kopplung an Anstrengung statt nur an Noten vermeidet Frustration bei Kindern die sich trotz Mühe schwertun.",
        "overview": "baue ein altersgerechtes Belohnungssystem für erledigte Lernziele",
        "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "category_number": 6,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Familien gestalten Motivation für Lernziele gemeinsam statt einseitig vorzugeben, die Kopplung an Anstrengung statt nur an Noten vermeidet Frustration bei Kindern die sich trotz Mühe schwertun.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-455",
        "title": "erstelle einen automatischen Eltern-Wochenbericht-Generator zum Lernfortschritt",
        "prompt_number": 455,
        "prompt": "erstelle einen automatischen Eltern-Wochenbericht-Generator zum Lernfortschritt - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Automatische Zusammenfassung aus Hausaufgaben-, Lernplan- und Übungstest-Daten der Woche, Verständliche Textform statt reiner Zahlen-Dashboards für Eltern ohne Zeit für Detailanalyse, Highlight-der-Woche größter Lernfortschritt automatisch hervorgehoben, Themen-Überblick was wurde diese Woche in welchem Fach bearbeitet, Empfehlungs-Sektion worauf nächste Woche der Fokus liegen könnte, Vergleich zur Vorwoche als kurze Trend-Anzeige (ApexCharts Sparkline), Anpassbare Berichtsfrequenz wöchentlich oder zweiwöchentlich, Versand-Mockup als druckbare Zusammenfassung statt echtem E-Mail-Versand, Datenschutz-Hinweis Bericht bleibt lokal im Familienkreis, Mehrkind-Berichte getrennt, Ton-Einstellung sachlich oder ermutigend wählbar, GSAP Bericht-Erstellungs-Animationen - USE CASE: Berufstätige Eltern erhalten ohne täglichen Nachfrage-Aufwand eine verständliche Wochenzusammenfassung, der automatisch hervorgehobene Fortschritt sorgt für positive statt nur mahnende Gesprächsanlässe.",
        "overview": "erstelle einen automatischen Eltern-Wochenbericht-Generator zum Lernfortschritt",
        "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "category_number": 6,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Berufstätige Eltern erhalten ohne täglichen Nachfrage-Aufwand eine verständliche Wochenzusammenfassung, der automatisch hervorgehobene Fortschritt sorgt für positive statt nur mahnende Gesprächsanlässe.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-456",
        "title": "entwickle einen Familien-Lernkalender zur gemeinsamen Planung",
        "prompt_number": 456,
        "prompt": "entwickle einen Familien-Lernkalender zur gemeinsamen Planung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsamer Kalender für Klausurtermine, Nachhilfestunden und Lerneinheiten aller Kinder der Familie, Farbcodierung pro Kind ohne Klarnamen nur Vornamen-Kürzel, Konfliktwarnung bei Terminüberschneidungen mehrerer Kinder, Familienzeit-Blöcke bewusst als Lernpausen markiert, Wochenübersicht wer hat wann welche Verpflichtung, Erinnerungsfunktion für anstehende Termine, Verknüpfung zu individuellen Lernplänen pro Kind, Export als Familienkalender zum Aushängen, Statistik Lernzeit-Verteilung zwischen Geschwistern nur zur eigenen Planungsübersicht ohne Vergleichs-Wertung, Offline-Nutzung als PWA, GSAP Kalender-Eintrags-Animationen - USE CASE: Familien mit mehreren schulpflichtigen Kindern koordinieren Nachhilfetermine und Klausurphasen ohne Terminchaos, die bewusst markierten Familienzeit-Blöcke verhindern dass Lernorganisation die gesamte Familienzeit dominiert.",
        "overview": "entwickle einen Familien-Lernkalender zur gemeinsamen Planung",
        "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "category_number": 6,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Familien mit mehreren schulpflichtigen Kindern koordinieren Nachhilfetermine und Klausurphasen ohne Terminchaos, die bewusst markierten Familienzeit-Blöcke verhindern dass Lernorganisation die gesamte Familienzeit dominiert.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-457",
        "title": "programmiere einen Eltern-Gesprächsleitfaden zur Elternsprechtag-Vorbereitung",
        "prompt_number": 457,
        "prompt": "programmiere einen Eltern-Gesprächsleitfaden zur Elternsprechtag-Vorbereitung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fragenkatalog nach Fach vorbereitbar für das Lehrergespräch, Notenverlauf-Zusammenfassung als Gesprächsgrundlage automatisch aus eigenen Daten erstellt, Beobachtungs-Notizfeld eigene Eindrücke vor dem Gespräch sammeln, Prioritäten-Sortierung welche Themen zuerst angesprochen werden sollen bei begrenzter Gesprächszeit, Nachbereitungs-Sektion Ergebnisse und Vereinbarungen aus dem Gespräch festhalten, Verlaufsübersicht vergangener Elterngespräche und deren Vereinbarungen, Erinnerungsfunktion für den Termin, Formulierungshilfen für schwierige Themen konstruktiv ansprechen, Checkliste Unterlagen die zum Gespräch mitgebracht werden sollten, Export Gesprächsnotizen als PDF, Mehrkind-Verwaltung getrennte Leitfäden, GSAP Fragenkatalog-Aufbau-Animationen - USE CASE: Eltern gehen strukturiert statt spontan in den kurzen Elternsprechtags-Termin und verpassen keine wichtige Frage, die Nachbereitungs-Sektion hilft getroffene Vereinbarungen tatsächlich nachzuverfolgen.",
        "overview": "programmiere einen Eltern-Gesprächsleitfaden zur Elternsprechtag-Vorbereitung",
        "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "category_number": 6,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Eltern gehen strukturiert statt spontan in den kurzen Elternsprechtags-Termin und verpassen keine wichtige Frage, die Nachbereitungs-Sektion hilft getroffene Vereinbarungen tatsächlich nachzuverfolgen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-458",
        "title": "baue eine Eltern-Kind-Lernvertrag-App zur digitalen Zielvereinbarung",
        "prompt_number": 458,
        "prompt": "baue eine Eltern-Kind-Lernvertrag-App zur digitalen Zielvereinbarung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsamer Editor für Lernziele und gegenseitige Verpflichtungen Eltern und Kind, Vorlagen-Bibliothek altersgerechte Beispiel-Vereinbarungen zu Bildschirmzeit/Hausaufgaben/Lernzeiten, Digitale Unterschrift-Simulation beider Seiten als symbolischer Akt, Fortschritts-Checkpoints regelmäßige gemeinsame Überprüfung vereinbart, Anpassungs-Historie wie sich der Vertrag über das Schuljahr verändert hat, Erinnerungsfunktion für vereinbarte Check-in-Termine, Fairness-Hinweise Vertrag sollte für beide Seiten Verpflichtungen enthalten nicht nur einseitig, Visualisierung eingehaltener vs verpasster Vereinbarungen (ApexCharts Donut), Konfliktlösungs-Leitfaden bei Uneinigkeit über Vertragspunkte, Export als unterschreibbares PDF für den Kühlschrank, Kindgerechte einfache Sprache in Vorlagen, GSAP Vertrags-Unterzeichnungs-Animationen - USE CASE: Familien vereinbaren Lernregeln transparent und für beide Seiten nachvollziehbar statt einseitiger Vorgaben, die beidseitige Verpflichtungsstruktur reduziert erfahrungsgemäß Konflikte um Hausaufgaben und Bildschirmzeit.",
        "overview": "baue eine Eltern-Kind-Lernvertrag-App zur digitalen Zielvereinbarung",
        "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "category_number": 6,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Familien vereinbaren Lernregeln transparent und für beide Seiten nachvollziehbar statt einseitiger Vorgaben, die beidseitige Verpflichtungsstruktur reduziert erfahrungsgemäß Konflikte um Hausaufgaben und Bildschirmzeit.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-459",
        "title": "erstelle eine Eltern-Coaching-Tipps-App zur Unterstützung ohne Druck",
        "prompt_number": 459,
        "prompt": "erstelle eine Eltern-Coaching-Tipps-App zur Unterstützung ohne Druck - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze alltagstaugliche Tipps-Sammlung nach Situation sortiert Motivationsprobleme/Prüfungsangst/Konzentrationsschwierigkeiten, Selbsttest wie unterstützend oder wie drucklastig ist die eigene Kommunikation mit dem Kind, Formulierungs-Beispiele hilfreiche vs kontraproduktive Sätze gegenübergestellt, Experten-Hintergrundwissen kindgerecht aufbereitet zu Entwicklungspsychologie und Lernmotivation, Reflexions-Tagebuch für Eltern eigene Erfahrungen und Fortschritte notieren, Community-Erfahrungsberichte-Mockup anderer Eltern anonymisiert, Wochentipp-Rotation neue Impulse regelmäßig, Warnzeichen-Sektion wann professionelle Unterstützung sinnvoll sein könnte, Fortschritts-Tracker eigene Anwendung der Tipps im Alltag, Suchfunktion nach Situation, GSAP Tipp-Karten-Einblend-Animationen - USE CASE: Eltern die unsicher sind wie sie unterstützen können ohne zusätzlichen Druck aufzubauen finden konkrete Formulierungshilfen, der Selbsttest macht das eigene Kommunikationsmuster mit dem Kind bewusster.",
        "overview": "erstelle eine Eltern-Coaching-Tipps-App zur Unterstützung ohne Druck",
        "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "category_number": 6,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Eltern die unsicher sind wie sie unterstützen können ohne zusätzlichen Druck aufzubauen finden konkrete Formulierungshilfen, der Selbsttest macht das eigene Kommunikationsmuster mit dem Kind bewusster.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-460",
        "title": "entwickle einen Zeugnis-und-Notenverlauf-Tracker für die Eltern-Ansicht",
        "prompt_number": 460,
        "prompt": "entwickle einen Zeugnis-und-Notenverlauf-Tracker für die Eltern-Ansicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Manuelle Noteneingabe pro Fach und Schuljahr, Notenverlauf-Chart über mehrere Schuljahre pro Fach (ApexCharts Linie), Zeugnis-Archiv-Übersicht Halbjahres- und Jahreszeugnisse chronologisch, Notenschnitt-Berechnung automatisch nach Schulform-Gewichtung, Trend-Erkennung Verbesserung oder Verschlechterung pro Fach farblich markiert, Fach-Vergleich innerhalb des Kindes welche Fächer stärker oder schwächer sind (D3.js Radar), Kommentar-Feld pro Zeugnis eigene Beobachtungen festhalten, Mehrkind-Verwaltung getrennte Profile ohne Vergleichsdruck zwischen Geschwistern, Zielnote-Eintrag pro Fach mit Fortschritts-Anzeige zur Zielerreichung, Export Notenübersicht als PDF, Datenschutz alle Daten ausschließlich lokal gespeichert, GSAP Notenverlaufs-Zeichen-Animationen - USE CASE: Eltern behalten die längerfristige Notenentwicklung ihres Kindes über mehrere Schuljahre im Blick statt nur einzelne Zeugnisse isoliert zu betrachten, die getrennte Geschwister-Verwaltung vermeidet dabei bewusst direkten Vergleichsdruck. ## Kategorie 7: NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "overview": "entwickle einen Zeugnis-und-Notenverlauf-Tracker für die Eltern-Ansicht",
        "category": "ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)",
        "category_number": 6,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Eltern behalten die längerfristige Notenentwicklung ihres Kindes über mehrere Schuljahre im Blick statt nur einzelne Zeugnisse isoliert zu betrachten, die getrennte Geschwister-Verwaltung vermeidet dabei bewusst direkten Vergleichsdruck. ## Kategorie 7: NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-461",
        "title": "erstelle eine Schülerkartei-Verwaltung für private Nachhilfelehrer",
        "prompt_number": 461,
        "prompt": "erstelle eine Schülerkartei-Verwaltung für private Nachhilfelehrer - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schülerprofile mit Fach/Klassenstufe/Schulform und minimalen notwendigen Kontaktdaten, Lernziel-Dokumentation pro Schüler mit Fortschrittsstatus, Stundenhistorie chronologisch pro Schüler, Themen-Verlauf was wurde in welcher Stunde behandelt, Stärken-Schwächen-Profil pro Schüler (D3.js Radar), Kontaktdaten-Verwaltung Eltern-Ansprechpartner getrennt von Schülerdaten, Auslastungs-Übersicht aktive vs pausierte Schüler, Erinnerungsfunktion für Vertragsverlängerungen oder Stundenpaket-Ende, Notizfeld vertrauliche Beobachtungen nur für den Nachhilfelehrer sichtbar, Such- und Filterfunktion nach Fach/Klassenstufe, Export Schülerübersicht als Tabelle, Datenschutz-Hinweis DSGVO-konforme minimale Datenspeicherung ausschließlich lokal, GSAP Profil-Karten-Animationen - USE CASE: Nachhilfelehrer mit vielen parallelen Schülern behalten Lernstand und Vereinbarungen pro Schüler übersichtlich fest, die datenschutzbewusste minimale Datenerhebung schützt sensible Informationen über Minderjährige konsequent.",
        "overview": "erstelle eine Schülerkartei-Verwaltung für private Nachhilfelehrer",
        "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Nachhilfelehrer mit vielen parallelen Schülern behalten Lernstand und Vereinbarungen pro Schüler übersichtlich fest, die datenschutzbewusste minimale Datenerhebung schützt sensible Informationen über Minderjährige konsequent.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-462",
        "title": "entwickle einen Terminplanungs-Kalender für Nachhilfestunden",
        "prompt_number": 462,
        "prompt": "entwickle einen Terminplanungs-Kalender für Nachhilfestunden - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochen- und Monatsansicht aller gebuchten Nachhilfetermine, Wiederkehrende-Termine-Vorlage für feste wöchentliche Stunden, Verfügbarkeits-Übersicht freie Zeitfenster für Neubuchungen, Farbcodierung pro Schüler oder Fach, Absage-und-Verschiebungs-Verwaltung mit Historie, Anfahrtszeiten-Puffer zwischen Terminen bei Hausbesuchen, Auslastungs-Statistik Stunden pro Woche im Verlauf (ApexCharts Balken), Erinnerungsfunktion für bevorstehende Termine, Doppelbuchungs-Warnung bei Terminkonflikten, Ferienzeiten-Markierung automatische Pausenerkennung, Export Wochenplan als druckbare Übersicht, GSAP Terminkarten-Animationen - USE CASE: Nachhilfelehrer mit vielen Einzel- und Gruppenterminen vermeiden Doppelbuchungen und Terminchaos, die Auslastungs-Statistik hilft realistisch einzuschätzen wie viele neue Schüler noch aufgenommen werden können.",
        "overview": "entwickle einen Terminplanungs-Kalender für Nachhilfestunden",
        "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Nachhilfelehrer mit vielen Einzel- und Gruppenterminen vermeiden Doppelbuchungen und Terminchaos, die Auslastungs-Statistik hilft realistisch einzuschätzen wie viele neue Schüler noch aufgenommen werden können.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-463",
        "title": "programmiere einen Rechnungsgenerator für Nachhilfestunden",
        "prompt_number": 463,
        "prompt": "programmiere einen Rechnungsgenerator für Nachhilfestunden - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Stundensatz-Konfiguration pro Schüler oder pauschal, Automatische Rechnungserstellung aus erfassten Nachhilfestunden im Zeitraum, Rechnungsvorlagen-Editor mit eigenem Namen und Kontaktdaten, Zahlungsstatus-Tracking bezahlt/offen/überfällig, Mahnwesen-Vorlage bei überfälligen Zahlungen freundlich formuliert, Einnahmen-Übersicht pro Monat und Jahr (ApexCharts Balken), Stundenpaket-Verwaltung Restguthaben pro Schüler, Steuerliche-Vorbereitung-Export Jahresübersicht für die Steuererklärung als Kleinunternehmer, Rechnungsarchiv durchsuchbar, Rabatt-und-Paket-Konfiguration Geschwisterrabatt oder Zehnerkarten, PDF-Export professionell formatiert, GSAP Rechnungserstellungs-Animationen - USE CASE: Selbstständige Nachhilfelehrer verwalten Abrechnung und Zahlungseingänge professionell statt handschriftlicher Notizen, die Jahresübersicht erleichtert die eigene Steuererklärung erheblich.",
        "overview": "programmiere einen Rechnungsgenerator für Nachhilfestunden",
        "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Selbstständige Nachhilfelehrer verwalten Abrechnung und Zahlungseingänge professionell statt handschriftlicher Notizen, die Jahresübersicht erleichtert die eigene Steuererklärung erheblich.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-464",
        "title": "baue ein Lernfortschritts-Notizen-Tool pro Schüler für Nachhilfelehrer",
        "prompt_number": 464,
        "prompt": "baue ein Lernfortschritts-Notizen-Tool pro Schüler für Nachhilfelehrer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierte Stundenprotokoll-Vorlage Thema/Beobachtung/Hausaufgabe/nächste-Schritte, Fortschritts-Bewertung pro Kompetenzbereich mit einfacher Skala, Verlaufsansicht aller Protokolle chronologisch pro Schüler, Themen-Abdeckungs-Übersicht was wurde im Lehrplan bereits behandelt (D3.js), Wiedervorlage-Markierung Themen die nochmal aufgegriffen werden sollten, Elternbericht-Export vereinfachte Version ohne interne Notizen für Weitergabe an Eltern, Notenentwicklung-Verknüpfung zur Erfolgskontrolle der Nachhilfe (ApexCharts Linie), Suchfunktion über alle Protokolle nach Thema, Vorlagen-Bibliothek für wiederkehrende Themenblöcke je Fach, Erinnerungsfunktion offene Wiedervorlage-Themen, Vertraulichkeits-Kennzeichnung private vs teilbare Notizen, GSAP Protokoll-Eintrag-Animationen - USE CASE: Nachhilfelehrer dokumentieren jede Stunde nachvollziehbar statt sich auf das Gedächtnis zu verlassen, der separate Elternbericht-Export ermöglicht Transparenz ohne private pädagogische Einschätzungen preiszugeben.",
        "overview": "baue ein Lernfortschritts-Notizen-Tool pro Schüler für Nachhilfelehrer",
        "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Nachhilfelehrer dokumentieren jede Stunde nachvollziehbar statt sich auf das Gedächtnis zu verlassen, der separate Elternbericht-Export ermöglicht Transparenz ohne private pädagogische Einschätzungen preiszugeben.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-465",
        "title": "erstelle eine Unterrichtsmaterial-Bibliothek nach Fach-und-Klassenstufe",
        "prompt_number": 465,
        "prompt": "erstelle eine Unterrichtsmaterial-Bibliothek nach Fach-und-Klassenstufe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorisierte Materialablage Fach/Klassenstufe/Schulform/Themenbereich, Vorlagen-Sammlung eigene Arbeitsblätter und Übungen wiederverwendbar, Verknüpfung zu passenden Übungstests aus der Testbibliothek, Tag-System für flexible Zusatz-Kategorisierung, Nutzungshäufigkeits-Statistik welche Materialien am häufigsten eingesetzt werden (ApexCharts Balken), Versionsverwaltung bei überarbeiteten Arbeitsblättern, Volltextsuche über Materialtitel und Themen, Favoriten-Sammlung bewährter Materialien, Materialpaket-Zusammenstellung für neue Schüler nach Schulform, Druckansicht direkt aus der Bibliothek, Freigabe-Kennzeichnung eigenes vs aus anderen Quellen übernommenes Material, GSAP Bibliotheks-Grid-Animationen - USE CASE: Nachhilfelehrer mit wachsendem Materialfundus finden passende Arbeitsblätter sofort statt in Ordnern zu suchen, neue Schüler erhalten durch die Materialpaket-Funktion schnell ein passendes Einstiegspaket nach Schulform.",
        "overview": "erstelle eine Unterrichtsmaterial-Bibliothek nach Fach-und-Klassenstufe",
        "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Nachhilfelehrer mit wachsendem Materialfundus finden passende Arbeitsblätter sofort statt in Ordnern zu suchen, neue Schüler erhalten durch die Materialpaket-Funktion schnell ein passendes Einstiegspaket nach Schulform.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-466",
        "title": "entwickle einen Nachhilfe-Preise-und-Pakete-Kalkulator",
        "prompt_number": 466,
        "prompt": "entwickle einen Nachhilfe-Preise-und-Pakete-Kalkulator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Preismodell-Konfigurator Einzelstunde/Zehnerkarte/Monatspauschale mit automatischer Ersparnis-Berechnung, Regionale-Preisvergleich-Referenz zur eigenen Preisfindung, Fach-und-Klassenstufen-abhängige-Staffelung Oberstufe-Abitur oft höherer Satz, Gruppenrabatt-Rechner bei Kleingruppen-Nachhilfe, Umsatzprognose bei verschiedenen Auslastungsszenarien (ApexCharts Balken), Deckungsbeitrags-Rechner nach Abzug von Fahrtkosten und Materialkosten, Angebots-Generator für neue Interessenten mit gewähltem Paket, Vergleichstabelle eigener Pakete für Website oder Aushang, Break-Even-Rechner wie viele Stunden pro Monat nötig sind, Saisonale-Nachfrage-Notiz Klausurphasen als umsatzstärkere Zeiten markieren, Export Preisliste als PDF, GSAP Paket-Vergleichs-Animationen - USE CASE: Angehende Nachhilfelehrer kalkulieren eine faire und wettbewerbsfähige Preisstruktur bevor sie neue Schüler akquirieren, etablierte Anbieter prüfen mit dem Deckungsbeitrags-Rechner ob sich Hausbesuche mit Fahrtaufwand noch lohnen.",
        "overview": "entwickle einen Nachhilfe-Preise-und-Pakete-Kalkulator",
        "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Angehende Nachhilfelehrer kalkulieren eine faire und wettbewerbsfähige Preisstruktur bevor sie neue Schüler akquirieren, etablierte Anbieter prüfen mit dem Deckungsbeitrags-Rechner ob sich Hausbesuche mit Fahrtaufwand noch lohnen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-467",
        "title": "programmiere ein Elternkommunikations-Center für Nachhilfelehrer",
        "prompt_number": 467,
        "prompt": "programmiere ein Elternkommunikations-Center für Nachhilfelehrer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrale Nachrichtenübersicht getrennt nach Familie statt Einzelchats verstreut, Vorlagen-Bibliothek für wiederkehrende Nachrichten Terminbestätigung/Absage/Fortschrittsupdate, Rundmail-Funktion-Mockup für organisatorische Ankündigungen an alle aktiven Familien, Antwort-Status-Tracking wer hat auf welche Nachricht reagiert, Terminanfragen-Verwaltung eingehende Anfragen mit Annehmen/Ablehnen, Kommunikationshistorie durchsuchbar pro Familie, Erinnerungsfunktion für unbeantwortete Anfragen, Feedback-Sammlung nach Probestunden strukturiert, Datenschutz-Hinweis Kommunikation ausschließlich mit Erziehungsberechtigten dokumentiert, Prioritäts-Kennzeichnung dringende Anfragen, Export Kommunikationsverlauf pro Familie, GSAP Nachrichtenzentrale-Animationen - USE CASE: Nachhilfelehrer mit vielen parallelen Familienkontakten verlieren keine offenen Anfragen mehr in verstreuten Chatverläufen, die Vorlagen-Bibliothek spart Zeit bei wiederkehrender organisatorischer Kommunikation.",
        "overview": "programmiere ein Elternkommunikations-Center für Nachhilfelehrer",
        "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Nachhilfelehrer mit vielen parallelen Familienkontakten verlieren keine offenen Anfragen mehr in verstreuten Chatverläufen, die Vorlagen-Bibliothek spart Zeit bei wiederkehrender organisatorischer Kommunikation.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-468",
        "title": "baue einen Gruppenunterricht-Planer für Nachhilfeinstitute",
        "prompt_number": 468,
        "prompt": "baue einen Gruppenunterricht-Planer für Nachhilfeinstitute - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gruppenzusammenstellung nach Fach/Klassenstufe/Leistungsniveau für passende Kleingruppen, Kapazitätsplanung maximale Gruppengröße pro Fach, Themenplan-Synchronisierung passend zum Schullehrplan der Gruppe, Individuelle-Fortschritts-Erfassung trotz Gruppenunterricht pro Schüler, Warteliste-Verwaltung bei ausgebuchten Gruppen, Terminfindungs-Tool welcher Termin passt für die meisten Gruppenmitglieder, Auslastungs-Dashboard über alle Gruppen (ApexCharts Balken), Umgruppierungs-Vorschlag bei stark unterschiedlichem Fortschritt innerhalb einer Gruppe, Elterninformation pro Gruppe getrennt vom Einzelunterricht, Materialverteilung an gesamte Gruppe gleichzeitig, Export Gruppenübersicht für Institutsleitung, GSAP Gruppen-Zuordnungs-Animationen - USE CASE: Nachhilfeinstitute mit mehreren parallelen Kleingruppen behalten trotz Gruppenformat den individuellen Fortschritt jedes Schülers im Blick, die Umgruppierungs-Vorschläge verhindern dass leistungsstärkere und schwächere Schüler dauerhaft in ungeeigneten Gruppen verbleiben.",
        "overview": "baue einen Gruppenunterricht-Planer für Nachhilfeinstitute",
        "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Nachhilfeinstitute mit mehreren parallelen Kleingruppen behalten trotz Gruppenformat den individuellen Fortschritt jedes Schülers im Blick, die Umgruppierungs-Vorschläge verhindern dass leistungsstärkere und schwächere Schüler dauerhaft in ungeeigneten Gruppen verbleiben.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-469",
        "title": "erstelle ein Probestunden-Buchungs-Tool für neue Nachhilfeschüler",
        "prompt_number": 469,
        "prompt": "erstelle ein Probestunden-Buchungs-Tool für neue Nachhilfeschüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buchungsformular für Erstkontakt mit Fach/Klassenstufe/Anliegen ohne unnötige Datenabfrage, Verfügbare-Termine-Kalender für Probestunden, Vorab-Fragebogen zur Einschätzung des aktuellen Wissensstands, Automatische Bestätigungs-Vorlage nach Buchung, Erinnerungsfunktion vor der Probestunde, Nachbereitungs-Formular Ergebnis der Probestunde und Einschätzung des Förderbedarfs, Umwandlungs-Tracking wie viele Probestunden zu regelmäßiger Nachhilfe führen (ApexCharts Balken), Feedback-Erfassung von Eltern nach der Probestunde, Absage-und-Verschiebungs-Verwaltung, Kapazitäts-Anzeige wie viele neue Schüler aktuell aufgenommen werden können, Datenschutz-Hinweis minimale Datenerhebung nur für die Terminorganisation nötig, GSAP Buchungsbestätigungs-Animationen - USE CASE: Nachhilfelehrer organisieren den Erstkontakt mit potenziellen neuen Schülern professionell und effizient, die Umwandlungs-Statistik zeigt wie erfolgreich Probestunden tatsächlich zu langfristiger Zusammenarbeit führen.",
        "overview": "erstelle ein Probestunden-Buchungs-Tool für neue Nachhilfeschüler",
        "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Nachhilfelehrer organisieren den Erstkontakt mit potenziellen neuen Schülern professionell und effizient, die Umwandlungs-Statistik zeigt wie erfolgreich Probestunden tatsächlich zu langfristiger Zusammenarbeit führen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-470",
        "title": "entwickle ein Nachhilfelehrer-Auslastungs-Dashboard Stunden-und-Einnahmen",
        "prompt_number": 470,
        "prompt": "entwickle ein Nachhilfelehrer-Auslastungs-Dashboard Stunden-und-Einnahmen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesamtübersicht wöchentliche und monatliche Unterrichtsstunden über alle Schüler, Einnahmen-Entwicklung im Zeitverlauf (ApexCharts Linie), Auslastungsgrad-Anzeige freie Kapazität vs ausgebucht, Fach-Verteilung welche Fächer den größten Anteil der Stunden ausmachen (D3.js Treemap), Stundensatz-Durchschnitt über alle Schüler und Pakete, Kündigungs-und-Neuzugangs-Tracking Fluktuation über Zeit, Saisonale-Muster-Erkennung Klausurphasen mit erhöhter Nachfrage, Arbeitszeit-Belastungs-Warnung bei zu vielen Wochenstunden, Ziel-Einnahmen-Vergleich Soll vs Ist, Export Jahresübersicht für die eigene Buchhaltung, Wochentag-Verteilung wann die meisten Stunden stattfinden, GSAP Dashboard-Kennzahlen-Animationen - USE CASE: Selbstständige Nachhilfelehrer verschaffen sich einen unternehmerischen Überblick über ihre gesamte Tätigkeit statt nur einzelne Schülerkarteien zu führen, die Arbeitszeit-Belastungs-Warnung hilft eine gesunde Auslastung ohne Selbstausbeutung zu halten. ## Kategorie 8: INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "overview": "entwickle ein Nachhilfelehrer-Auslastungs-Dashboard Stunden-und-Einnahmen",
        "category": "NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)",
        "category_number": 7,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Selbstständige Nachhilfelehrer verschaffen sich einen unternehmerischen Überblick über ihre gesamte Tätigkeit statt nur einzelne Schülerkarteien zu führen, die Arbeitszeit-Belastungs-Warnung hilft eine gesunde Auslastung ohne Selbstausbeutung zu halten. ## Kategorie 8: INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-471",
        "title": "erstelle einen sicheren Physik-Experiment-Simulator für Stromkreise",
        "prompt_number": 471,
        "prompt": "erstelle einen sicheren Physik-Experiment-Simulator für Stromkreise - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Virtueller Schaltkreis-Baukasten Batterie/Widerstand/Lampe/Schalter per Drag-and-Drop, Live-Simulation Stromfluss visualisiert bei geschlossenem Schaltkreis (D3.js Animation), Reihen-und-Parallelschaltung-Vergleich direkt nebeneinander aufbaubar, Messgeräte-Simulation virtuelles Amperemeter und Voltmeter einfügbar, Automatische Berechnung von Gesamtwiderstand und Stromstärke passend zum Aufbau, Fehler-Erkennung Kurzschluss-Warnung bei falschem Aufbau ungefährlich in der Simulation, Aufgaben-Modus vorgegebene Zielwerte durch richtigen Aufbau erreichen, Erklär-Popover zu jedem Bauteil, Speicherbare-eigene-Schaltkreise zum späteren Wiederholen, Vergleich zu Formelsammlung-Werten aus dem Physik-Nachschlagewerk, Explizit als reine Simulation gekennzeichnet kein echtes Laborexperiment, GSAP Stromfluss-Partikel-Animationen - USE CASE: Schüler ohne Zugang zu echtem Physik-Laborequipment üben Schaltkreis-Aufbau gefahrlos am Bildschirm, Nachhilfelehrer visualisieren abstrakte Stromkreis-Konzepte greifbar bevor der echte Schulversuch im Unterricht stattfindet.",
        "overview": "erstelle einen sicheren Physik-Experiment-Simulator für Stromkreise",
        "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler ohne Zugang zu echtem Physik-Laborequipment üben Schaltkreis-Aufbau gefahrlos am Bildschirm, Nachhilfelehrer visualisieren abstrakte Stromkreis-Konzepte greifbar bevor der echte Schulversuch im Unterricht stattfindet.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-472",
        "title": "entwickle einen sicheren Chemie-Reaktions-Simulator ohne echtes Labor",
        "prompt_number": 472,
        "prompt": "entwickle einen sicheren Chemie-Reaktions-Simulator ohne echtes Labor - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Reagenzglas-Baukasten Stoffe per Klick kombinieren, Reaktionsvisualisierung Farbwechsel/Gasentwicklung/Niederschlag animiert (D3.js), Reaktionsgleichung wird automatisch passend zur Simulation eingeblendet und ausgeglichen, Sicherheitshinweise-Sektion erklärt warum bestimmte Reaktionen nur im echten Unterricht unter Aufsicht durchgeführt werden, Aufgaben-Modus vorgegebenes Zielprodukt durch richtige Kombination erreichen, Stoffeigenschaften-Nachschlage-Popover pro verwendetem Stoff, Fehlversuch-Feedback ohne reale Gefahr bei falscher Kombination nur Hinweistext, Fortschritts-Tracker gemeisterte Reaktionstypen, Verknüpfung zur Chemie-Formelsammlung für Stöchiometrie-Nachrechnung, Explizit als reine Lernsimulation gekennzeichnet, Wiederholungsmodus für Klausurvorbereitung, GSAP Reaktions-Farbwechsel-Animationen - USE CASE: Schüler verstehen chemische Reaktionen visuell nachvollziehbar ohne die Risiken eines echten Experiments, die App ergänzt den schulischen Chemieunterricht als sicheres Wiederholungswerkzeug zuhause.",
        "overview": "entwickle einen sicheren Chemie-Reaktions-Simulator ohne echtes Labor",
        "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler verstehen chemische Reaktionen visuell nachvollziehbar ohne die Risiken eines echten Experiments, die App ergänzt den schulischen Chemieunterricht als sicheres Wiederholungswerkzeug zuhause.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-473",
        "title": "programmiere einen interaktiven Geschichts-Zeitstrahl-Explorer",
        "prompt_number": 473,
        "prompt": "programmiere einen interaktiven Geschichts-Zeitstrahl-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zoombarer Zeitstrahl von Antike bis Gegenwart nach Lehrplan-Epochen (D3.js Zeitachse), Epochen-Detailseiten mit zentralen Ereignissen und Ursache-Wirkungs-Zusammenhängen, Verknüpfungs-Ansicht Parallelereignisse in verschiedenen Regionen zur gleichen Zeit, Quellenausschnitte-Sammlung kurze historische Textquellen mit Einordnungshilfe, Zeitleisten-Quiz Ereignisse in richtige Reihenfolge bringen, Karten-Integration wie sich Grenzen über Epochen veränderten, Personen-Steckbriefe zu zentralen historischen Figuren, Themen-Filter Politik/Gesellschaft/Kultur separat einblendbar, Fortschritts-Tracker erkundete Epochen, Lesezeichen für klausurrelevante Ereignisse, Druckansicht als Zeitstrahl-Merkblatt, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Schüler verstehen historische Zusammenhänge über Epochen hinweg statt isolierter Einzelfakten, das PWA-Format eignet sich als digitale Erweiterung klassischer Geschichts-Nachhilfe wie bei den PWA-HISTORY-NACHHILFE-Projekten im eigenen Archiv.",
        "overview": "programmiere einen interaktiven Geschichts-Zeitstrahl-Explorer",
        "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler verstehen historische Zusammenhänge über Epochen hinweg statt isolierter Einzelfakten, das PWA-Format eignet sich als digitale Erweiterung klassischer Geschichts-Nachhilfe wie bei den PWA-HISTORY-NACHHILFE-Projekten im eigenen Archiv.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-474",
        "title": "baue ein Biologie-Diagramm-Beschriftungs-Tool für Zellen-und-Organe",
        "prompt_number": 474,
        "prompt": "baue ein Biologie-Diagramm-Beschriftungs-Tool für Zellen-und-Organe - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Diagramm-Bibliothek Tierzelle/Pflanzenzelle/menschliche-Organe nach Klassenstufe, Drag-and-Drop-Beschriftung Begriffe an richtige Stelle ziehen, Sofort-Feedback bei falscher Zuordnung mit Erklärung, Zoombare-Detailansicht komplexer Diagramme, Übungsmodus mit steigendem Schwierigkeitsgrad weniger Vorgaben, Zeitmess-Modus für Klausur-ähnliches Üben, Fortschritts-Statistik pro Diagrammtyp (ApexCharts Radial), Vergleichsansicht Tierzelle vs Pflanzenzelle nebeneinander, Fachbegriff-Verlinkung zum Biologie-Lexikon bei Unklarheiten, Eigene-Diagramme-Übung mit hochgeladenem Schulbuch-Diagramm-Platzhalter, Druckansicht unbeschrifteter Diagramme zum Selbstüben auf Papier, GSAP Beschriftungs-Einrast-Animationen - USE CASE: Schüler festigen die oft in Klassenarbeiten geforderte korrekte Beschriftung biologischer Diagramme praxisnah, der Zeitmess-Modus simuliert die reale Prüfungssituation solcher Beschriftungsaufgaben.",
        "overview": "baue ein Biologie-Diagramm-Beschriftungs-Tool für Zellen-und-Organe",
        "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler festigen die oft in Klassenarbeiten geforderte korrekte Beschriftung biologischer Diagramme praxisnah, der Zeitmess-Modus simuliert die reale Prüfungssituation solcher Beschriftungsaufgaben.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-475",
        "title": "erstelle ein Erdkunde-Kartenquiz für Länder-Hauptstädte-und-Flüsse",
        "prompt_number": 475,
        "prompt": "erstelle ein Erdkunde-Kartenquiz für Länder-Hauptstädte-und-Flüsse - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Interaktive Weltkarte mit klickbaren Ländern für Quizfragen, Themenmodule Hauptstädte/Flüsse/Gebirge/Kontinente nach Klassenstufe, Regionsfilter Europa/Deutschland-Bundesländer/Welt separat übbar, Blindkarten-Modus Länder ohne Beschriftung erkennen, Zeitmess-Modus für Wettbewerbscharakter, Fehleranalyse welche Regionen am schlechtesten abschneiden (ApexCharts Balken), Fortschritts-Fortschrittskarte bereits gemeisterte Regionen farblich markiert, Merkhilfen-Karten zu schwierig zu merkenden Ländern, Highscore-Tracker eigene Bestzeiten, Offline-Kartendaten für Nutzung ohne Internet, Druckansicht Blindkarten zum Selbstüben, GSAP Karten-Zoom-Animationen - USE CASE: Schüler festigen geografisches Grundwissen spielerisch statt stures Auswendiglernen von Ländernamen, das Bundesländer-Modul bereitet gezielt auf die in vielen Bundesländern früh gelehrte Deutschlandkunde vor.",
        "overview": "erstelle ein Erdkunde-Kartenquiz für Länder-Hauptstädte-und-Flüsse",
        "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler festigen geografisches Grundwissen spielerisch statt stures Auswendiglernen von Ländernamen, das Bundesländer-Modul bereitet gezielt auf die in vielen Bundesländern früh gelehrte Deutschlandkunde vor.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-476",
        "title": "entwickle einen Physik-Simulator für Mechanik Kräfte-und-Bewegung",
        "prompt_number": 476,
        "prompt": "entwickle einen Physik-Simulator für Mechanik Kräfte-und-Bewegung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Bewegungs-Baukasten Masse/Kraft/Reibung einstellbar mit Live-Simulation, Kraft-Vektor-Visualisierung an bewegtem Objekt (D3.js), v-t-und-s-t-Diagramm live während der Simulation gezeichnet (ApexCharts), Vergleichsmodus zwei Szenarien mit unterschiedlichen Parametern nebeneinander, Aufgaben-Modus vorgegebene Zielgeschwindigkeit durch richtige Krafteinstellung erreichen, Reibungs-Einfluss-Demonstration mit und ohne Reibung vergleichbar, Newtonsche-Gesetze-Erklär-Popover passend zur laufenden Simulation, Formelverknüpfung zur Physik-Formelsammlung, Fortschritts-Tracker gemeisterte Aufgabentypen, Explizit als Simulation ohne echtes Experiment gekennzeichnet, Zeitlupen-Funktion zur genauen Beobachtung, GSAP Bewegungspfad-Animationen - USE CASE: Schüler verstehen abstrakte Bewegungsgesetze durch direktes Ausprobieren verschiedener Parameter visuell, die parallele Diagrammzeichnung verbindet den beobachteten Bewegungsablauf unmittelbar mit der mathematischen Darstellung.",
        "overview": "entwickle einen Physik-Simulator für Mechanik Kräfte-und-Bewegung",
        "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler verstehen abstrakte Bewegungsgesetze durch direktes Ausprobieren verschiedener Parameter visuell, die parallele Diagrammzeichnung verbindet den beobachteten Bewegungsablauf unmittelbar mit der mathematischen Darstellung.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-477",
        "title": "programmiere einen Chemie-Periodensystem-Simulator für Elektronenkonfiguration",
        "prompt_number": 477,
        "prompt": "programmiere einen Chemie-Periodensystem-Simulator für Elektronenkonfiguration - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktives Atommodell-Bohr-Schema pro Element mit Elektronenschalen (D3.js), Aufbau-Prinzip-Simulator Elektronen werden schrittweise auf Schalen verteilt mit Erklärung, Vergleichsmodus zwei Elemente nebeneinander zur Veranschaulichung von Periodizität, Ionenbildungs-Simulation wie Atome durch Elektronenabgabe oder -aufnahme zu Ionen werden, Bindungstyp-Demonstration Ionenbindung vs Elektronenpaarbindung vereinfacht visualisiert, Aufgaben-Modus Elektronenkonfiguration eines vorgegebenen Elements korrekt aufbauen, Verknüpfung zum Periodensystem-Explorer für Zusatzinformationen, Fortschritts-Tracker gemeisterte Elemente, Erklär-Popover zu Fachbegriffen wie Valenzelektronen, Zeitlupen-Modus für komplexere Konfigurationen, GSAP Elektronen-Bewegungs-Animationen - USE CASE: Schüler der Oberstufe verstehen den Aufbau der Elektronenhülle und dessen Zusammenhang mit dem Periodensystem anschaulich, die Ionenbildungs-Simulation macht das sonst abstrakte Konzept der chemischen Bindung greifbar.",
        "overview": "programmiere einen Chemie-Periodensystem-Simulator für Elektronenkonfiguration",
        "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler der Oberstufe verstehen den Aufbau der Elektronenhülle und dessen Zusammenhang mit dem Periodensystem anschaulich, die Ionenbildungs-Simulation macht das sonst abstrakte Konzept der chemischen Bindung greifbar.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-478",
        "title": "baue einen Biologie-Genetik-Simulator für Mendelsche-Regeln",
        "prompt_number": 478,
        "prompt": "baue einen Biologie-Genetik-Simulator für Mendelsche-Regeln - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Kreuzungs-Baukasten Elterngenerationen mit wählbaren Merkmalen dominant/rezessiv, Automatische Kreuzungsschema-Erstellung Punnett-Quadrat live berechnet (D3.js), Wahrscheinlichkeits-Anzeige für Nachkommen-Merkmalsverteilung (ApexCharts Donut), Mehrgenerationen-Simulation F1 und F2-Generation nachvollziehbar, Erste-und-Zweite-Mendelsche-Regel-Erklärung passend zur laufenden Simulation, Aufgaben-Modus vorgegebenes Kreuzungsergebnis durch richtige Elternauswahl erreichen, Beispiel-Merkmale aus dem Schulunterricht Erbsenfarbe/Blütenform als Klassiker, Fortschritts-Tracker gemeisterte Kreuzungsaufgaben, Verknüpfung zum Biologie-Lexikon für Fachbegriffe, Druckansicht Kreuzungsschema als Übungsblatt, GSAP Kreuzungsschema-Aufbau-Animationen - USE CASE: Schüler verstehen Vererbungswahrscheinlichkeiten durch selbst durchgeführte Kreuzungen statt nur vorgerechnete Beispiele im Schulbuch nachzuvollziehen, die automatische Punnett-Quadrat-Berechnung hilft die Systematik hinter Mendels Regeln zu verinnerlichen.",
        "overview": "baue einen Biologie-Genetik-Simulator für Mendelsche-Regeln",
        "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler verstehen Vererbungswahrscheinlichkeiten durch selbst durchgeführte Kreuzungen statt nur vorgerechnete Beispiele im Schulbuch nachzuvollziehen, die automatische Punnett-Quadrat-Berechnung hilft die Systematik hinter Mendels Regeln zu verinnerlichen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-479",
        "title": "erstelle einen Geschichts-Quellenanalyse-Trainer interaktiv",
        "prompt_number": 479,
        "prompt": "erstelle einen Geschichts-Quellenanalyse-Trainer interaktiv - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Quellenbibliothek kurze historische Text- und Bildquellen nach Epoche kategorisiert, Schritt-für-Schritt-Anleitung Quellenanalyse Einordnung/Inhaltsangabe/Interpretation nach Schulstandard, Markier-Werkzeug wichtige Textstellen im Quellentext hervorheben, Leitfragen-Katalog passend zum Quellentyp Rede/Karikatur/Statistik, Musterlösungs-Vergleich nach eigenem Analyseversuch, Bewertungsraster-Simulation wie eine Lehrkraft die Analyse bepunkten würde, Übungsgenerator neue Quellen mit steigendem Schwierigkeitsgrad, Fortschritts-Tracker geübte Quellentypen (ApexCharts Radial), Fachbegriff-Glossar zu Quellenkritik-Begriffen, Klausur-Simulation mit Zeitlimit wie in echten Geschichtsklausuren, GSAP Textmarkierungs-Animationen - USE CASE: Oberstufenschüler üben die in Geschichtsklausuren zentrale Methodenkompetenz der Quellenanalyse strukturiert, das Bewertungsraster macht transparent wonach Lehrkräfte bei der Punktevergabe tatsächlich suchen.",
        "overview": "erstelle einen Geschichts-Quellenanalyse-Trainer interaktiv",
        "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Oberstufenschüler üben die in Geschichtsklausuren zentrale Methodenkompetenz der Quellenanalyse strukturiert, das Bewertungsraster macht transparent wonach Lehrkräfte bei der Punktevergabe tatsächlich suchen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-480",
        "title": "entwickle einen Erdkunde-Klimadiagramm-Explorer-und-Vergleichs-Tool",
        "prompt_number": 480,
        "prompt": "entwickle einen Erdkunde-Klimadiagramm-Explorer-und-Vergleichs-Tool - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Klimadiagramm-Bibliothek für Städte weltweit nach Klimazonen kategorisiert, Interaktive Karte zur Auswahl von Vergleichsstädten (Leaflet), Klimadiagramm-Generator Temperatur und Niederschlag pro Monat visualisiert (ApexCharts Combo), Klimazonen-Zuordnungs-Quiz Diagramm der richtigen Zone zuordnen, Vergleichsmodus zwei Klimadiagramme nebeneinander analysieren, Lesehilfe-Erklärung wie man ein Klimadiagramm interpretiert Schritt für Schritt, Vegetationszonen-Verknüpfung passend zur Klimazone, Aufgaben-Modus typische Klausurfragen zu vorgelegtem Klimadiagramm, Fortschritts-Tracker analysierte Klimazonen, Druckansicht Klimadiagramme als Übungsblatt, GSAP Diagramm-Zeichnungs-Animationen - USE CASE: Schüler lernen die in Erdkundeklausuren häufig geforderte Klimadiagramm-Analyse anhand echter Städtedaten praxisnah, der Vergleichsmodus verdeutlicht Unterschiede zwischen Klimazonen anschaulicher als reine Tabellenwerte im Schulbuch. ## Kategorie 9: ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "overview": "entwickle einen Erdkunde-Klimadiagramm-Explorer-und-Vergleichs-Tool",
        "category": "INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)",
        "category_number": 8,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "Leaflet",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Schüler lernen die in Erdkundeklausuren häufig geforderte Klimadiagramm-Analyse anhand echter Städtedaten praxisnah, der Vergleichsmodus verdeutlicht Unterschiede zwischen Klimazonen anschaulicher als reine Tabellenwerte im Schulbuch. ## Kategorie 9: ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-481",
        "title": "erstelle einen Abitur-Mathe-Vorbereitungs-Trainer für NRW",
        "prompt_number": 481,
        "prompt": "erstelle einen Abitur-Mathe-Vorbereitungs-Trainer für NRW - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Analysis/Analytische-Geometrie/Stochastik entsprechend dem NRW-Zentralabitur-Kernlehrplan, Grund-und-Leistungskurs-Umschaltung mit passendem Anforderungsniveau, Hilfsmittelfreier-und-Hilfsmittel-Teil-Simulation getrennt wie im echten Abitur, GTR-Nutzungs-Hinweise wann grafikfähiger Taschenrechner im Abitur erlaubt ist, Musteraufgaben im Stil vergangener Abiturprüfungen NRW, Bewertungsschema-Simulation Punkte-zu-Note-Umrechnung nach offiziellem Schlüssel, Themenschwerpunkt-Statistik welche Inhalte in den letzten Jahren häufig geprüft wurden (ApexCharts Balken), Schwachstellenanalyse nach Themenblock (D3.js Radar), Formelsammlung-Verknüpfung zum Mathe-Nachschlagewerk, Countdown bis zum Abiturtermin, Zeitmanagement-Simulation realistische Bearbeitungszeit pro Aufgabenteil, GSAP Themenblock-Fortschritts-Animationen - USE CASE: Abiturienten in NRW bereiten sich gezielt auf die Struktur und Themenschwerpunkte des Zentralabiturs vor, die Bewertungssimulation macht nachvollziehbar wie viele Punkte für eine bestimmte Abiturnote nötig sind.",
        "overview": "erstelle einen Abitur-Mathe-Vorbereitungs-Trainer für NRW",
        "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "category_number": 9,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Abiturienten in NRW bereiten sich gezielt auf die Struktur und Themenschwerpunkte des Zentralabiturs vor, die Bewertungssimulation macht nachvollziehbar wie viele Punkte für eine bestimmte Abiturnote nötig sind.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-482",
        "title": "entwickle einen Abitur-Deutsch-Vorbereitungs-Trainer für Bayern",
        "prompt_number": 482,
        "prompt": "entwickle einen Abitur-Deutsch-Vorbereitungs-Trainer für Bayern - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aufgabenformate Textanalyse/Erörterung/Interpretation nach bayerischem Lehrplan G9, Pflichtlektüren-Übersicht mit Kurzzusammenfassungen und zentralen Interpretationsansätzen, Schreibplan-Generator Gliederungshilfe vor dem eigentlichen Aufsatz, Musteraufsätze mit Bewertungskommentaren nach bayerischem Punkteschema, Rhetorische-Mittel-Nachschlagewerk mit Beispielen aus Pflichtlektüren, Zeitmanagement-Simulation für die reale Prüfungsdauer, Themenschwerpunkt-Historie vergangener Abiturthemen in Bayern, Selbstkorrektur-Checkliste vor Abgabe eines Übungsaufsatzes, Fortschritts-Tracker geübte Aufgabenformate (ApexCharts Radial), Wortschatz-Erweiterung anspruchsvolle Formulierungen für Interpretationen, GSAP Schreibplan-Aufbau-Animationen - USE CASE: Abiturienten in Bayern üben die spezifischen Aufgabenformate des dortigen Deutsch-Abiturs mit bayern-spezifischen Pflichtlektüren, der Schreibplan-Generator hilft unter Zeitdruck eine klare Aufsatzstruktur zu entwickeln.",
        "overview": "entwickle einen Abitur-Deutsch-Vorbereitungs-Trainer für Bayern",
        "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "category_number": 9,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Abiturienten in Bayern üben die spezifischen Aufgabenformate des dortigen Deutsch-Abiturs mit bayern-spezifischen Pflichtlektüren, der Schreibplan-Generator hilft unter Zeitdruck eine klare Aufsatzstruktur zu entwickeln.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-483",
        "title": "programmiere einen Mittlere-Reife-Vorbereitungs-Trainer für Bayern",
        "prompt_number": 483,
        "prompt": "programmiere einen Mittlere-Reife-Vorbereitungs-Trainer für Bayern - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fachauswahl Mathematik/Deutsch/Englisch entsprechend der bayerischen Quali-und-Mittlere-Reife-Prüfungsstruktur, Aufgabenformate wie in echten Abschlussprüfungen nachgebildet, Themenschwerpunkt-Übersicht der letzten Prüfungsjahrgänge (ApexCharts Balken), Bewertungsschema-Simulation Punkte-zu-Note nach bayerischem System, Übungsklausuren mit realistischem Zeitlimit, Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Formelsammlung-und-Nachschlage-Verknüpfung während der Übung, Countdown bis zur Prüfung, Motivations-Hinweise gerade für Schüler mit Prüfungsangst vor dem ersten großen Schulabschluss, Fortschritts-Historie über mehrere Übungsdurchläufe, Elterninformations-Sektion Ablauf und Bedeutung der Mittleren Reife erklärt, GSAP Prüfungssimulations-Animationen - USE CASE: Realschüler in Bayern bereiten sich strukturiert auf ihre erste zentrale Abschlussprüfung vor, Eltern ohne eigene Erfahrung mit dem bayerischen System verstehen durch die Info-Sektion den Ablauf und die Bedeutung der Prüfung besser.",
        "overview": "programmiere einen Mittlere-Reife-Vorbereitungs-Trainer für Bayern",
        "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "category_number": 9,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Realschüler in Bayern bereiten sich strukturiert auf ihre erste zentrale Abschlussprüfung vor, Eltern ohne eigene Erfahrung mit dem bayerischen System verstehen durch die Info-Sektion den Ablauf und die Bedeutung der Prüfung besser.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-484",
        "title": "baue einen Hauptschulabschluss-Vorbereitungs-Trainer Deutsch-und-Mathe",
        "prompt_number": 484,
        "prompt": "baue einen Hauptschulabschluss-Vorbereitungs-Trainer Deutsch-und-Mathe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Grundlagen-orientierte Übungsaufgaben angepasst an das Anforderungsniveau des Hauptschulabschlusses, Praxisnahe-Textaufgaben Alltags-und-Berufsbezug in Mathematik, Bewerbungsschreiben-und-Lebenslauf-Übungsmodul als Zusatzbaustein zur Berufsorientierung, Lesekompetenz-Training mit alltagsnahen Texten für den Deutsch-Teil, Einfache-verständliche-Erklärungen ohne komplizierten Fachjargon, Ermutigende-Rückmeldungen bei Fehlern statt entmutigender Bewertung, Fortschritts-Tracker mit kleinen erreichbaren Etappenzielen (ApexCharts Balken), Übungsklausuren mit realistischem Zeitlimit, Schwachstellenanalyse nach Themenbereich, Elternhinweise wie zuhause unterstützt werden kann ohne Überforderung, Offline-Nutzung als PWA, GSAP Etappen-Erfolgs-Animationen - USE CASE: Hauptschüler mit teils schwierigem Zugang zu klassischen Lernformaten bereiten sich mit alltagsnahen und ermutigenden Übungen auf ihren Abschluss vor, die kleinschrittige Erfolgsdarstellung fördert Durchhaltevermögen auch bei Schülern mit bisherigen Frustrationserfahrungen in der Schule.",
        "overview": "baue einen Hauptschulabschluss-Vorbereitungs-Trainer Deutsch-und-Mathe",
        "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "category_number": 9,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Hauptschüler mit teils schwierigem Zugang zu klassischen Lernformaten bereiten sich mit alltagsnahen und ermutigenden Übungen auf ihren Abschluss vor, die kleinschrittige Erfolgsdarstellung fördert Durchhaltevermögen auch bei Schülern mit bisherigen Frustrationserfahrungen in der Schule.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-485",
        "title": "erstelle einen Notenschnitt-Rechner für das Abitur NRW",
        "prompt_number": 485,
        "prompt": "erstelle einen Notenschnitt-Rechner für das Abitur NRW - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe aller Kursnoten der Qualifikationsphase Q1 und Q2 nach NRW-Punktesystem, Automatische Berechnung der Gesamtqualifikation nach offizieller Formel Block-1-und-Block-2, Abiturprüfungsnoten-Simulation Auswirkung verschiedener Prüfungsergebnisse auf die Endnote, Zielnoten-Rechner welche Prüfungsleistung für eine gewünschte Abiturdurchschnittsnote nötig ist, Visualisierung Notenzusammensetzung nach Anteilen (ApexCharts Donut), Warnhinweis bei Unterschreitung der Mindestpunktzahl-Kriterien, Vergleichsrechnung verschiedene Szenarien nebeneinander, Fach-Gewichtung-Erklärung Leistungskurse doppelt gewichtet transparent dargestellt, Verlaufs-Speicherung mehrerer Rechendurchläufe, Export Berechnung als PDF für die eigene Übersicht, Erklär-Tutorial zum komplexen NRW-Punktesystem für Schüler und Eltern, GSAP Notenberechnungs-Animationen - USE CASE: Abiturienten in NRW verstehen frühzeitig wie sich einzelne Klausurnoten konkret auf die Abiturdurchschnittsnote auswirken, der Zielnoten-Rechner zeigt realistisch welche Prüfungsleistung für ein angestrebtes Wunschergebnis noch erreicht werden muss.",
        "overview": "erstelle einen Notenschnitt-Rechner für das Abitur NRW",
        "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "category_number": 9,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Abiturienten in NRW verstehen frühzeitig wie sich einzelne Klausurnoten konkret auf die Abiturdurchschnittsnote auswirken, der Zielnoten-Rechner zeigt realistisch welche Prüfungsleistung für ein angestrebtes Wunschergebnis noch erreicht werden muss.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-486",
        "title": "entwickle einen Abitur-Altklausuren-Generator für Mathe-und-Physik",
        "prompt_number": 486,
        "prompt": "entwickle einen Abitur-Altklausuren-Generator für Mathe-und-Physik - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aufgabenpool im Stil vergangener Abiturklausuren nach Themenbereich kategorisiert, Zufalls-Zusammenstellung einer vollständigen Klausur aus dem Pool, Zeitlimit exakt wie in der echten Abiturprüfung, Musterlösungen mit vollständigem Lösungsweg und Punkteverteilung, Themenhäufigkeits-Statistik über mehrere Prüfungsjahrgänge (ApexCharts Balken), Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Bewertungsschema-Simulation Punkte-zu-Note, Fortschritts-Historie über mehrere Übungsklausuren, Formelsammlung-Verknüpfung während der Bearbeitung erlaubt wie im echten Abitur, Druckansicht als vollständige Übungsklausur, Wiederholungsmodus nur bisher schwach gelöste Themen, GSAP Klausur-Zusammenstellungs-Animationen - USE CASE: Abiturienten üben unter realistischen Bedingungen mit Aufgaben die sich strukturell an echten früheren Abiturklausuren orientieren, die Themenhäufigkeits-Statistik hilft die Lernzeit auf die erfahrungsgemäß am häufigsten geprüften Inhalte zu konzentrieren.",
        "overview": "entwickle einen Abitur-Altklausuren-Generator für Mathe-und-Physik",
        "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "category_number": 9,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Abiturienten üben unter realistischen Bedingungen mit Aufgaben die sich strukturell an echten früheren Abiturklausuren orientieren, die Themenhäufigkeits-Statistik hilft die Lernzeit auf die erfahrungsgemäß am häufigsten geprüften Inhalte zu konzentrieren.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-487",
        "title": "programmiere einen Abitur-Englisch-Vorbereitungs-Trainer Textproduktion-und-Hörverstehen",
        "prompt_number": 487,
        "prompt": "programmiere einen Abitur-Englisch-Vorbereitungs-Trainer Textproduktion-und-Hörverstehen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Aufgabenformate Comment/Analysis/Mediation nach gängigem Abitur-Anforderungsprofil, Textproduktions-Trainer mit Schreibplan-Gliederungshilfe vor dem eigentlichen Essay, Hörverstehen-Modul mit Audio-Wiedergabe und Verständnisfragen, Wortschatz-Bausteine für Analyse und Argumentation auf Abitur-Niveau, Musteraufsätze mit Bewertungskommentaren nach Punkteschema, Zeitmanagement-Simulation für die reale Prüfungsdauer, Themenschwerpunkte historisch behandelter Abiturthemen als Orientierung, Selbstkorrektur-Checkliste Grammatik und Struktur vor Abgabe, Fortschritts-Tracker geübte Aufgabenformate (ApexCharts Radial), Mediation-Übungen Deutsch-Englisch-Transferaufgaben, GSAP Essay-Struktur-Animationen - USE CASE: Abiturienten üben die anspruchsvollen Textproduktions- und Mediationsaufgaben des Englisch-Abiturs praxisnah, das separate Hörverstehen-Modul bereitet gezielt auf den oft unterschätzten Hörverstehensteil vor.",
        "overview": "programmiere einen Abitur-Englisch-Vorbereitungs-Trainer Textproduktion-und-Hörverstehen",
        "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "category_number": 9,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Abiturienten üben die anspruchsvollen Textproduktions- und Mediationsaufgaben des Englisch-Abiturs praxisnah, das separate Hörverstehen-Modul bereitet gezielt auf den oft unterschätzten Hörverstehensteil vor.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-488",
        "title": "baue einen Abitur-Latein-Vorbereitungs-Trainer Übersetzung-und-Interpretation",
        "prompt_number": 488,
        "prompt": "baue einen Abitur-Latein-Vorbereitungs-Trainer Übersetzung-und-Interpretation - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Textkorpus klassischer Abitur-Autoren Cicero/Ovid/Caesar mit steigendem Schwierigkeitsgrad, Übersetzungs-Editor mit Wort-für-Wort-Hilfe optional einblendbar, Interpretations-Leitfragen-Katalog passend zum Textabschnitt, Grammatik-Wiederholungs-Module zu Konstruktionen die im Abitur häufig vorkommen, Klausur-Simulation mit Zeitlimit und Punkteverteilung nach echtem Bewertungsschema, Stilmittel-Nachschlagewerk mit Beispielen aus den Prüfungsautoren, Vokabel-Wiederholung aus bereits bearbeiteten Prüfungstexten verknüpft mit dem Latein-Vokabeltrainer, Fortschritts-Historie über mehrere Übungstexte (ApexCharts Balken), Kulturhistorischer-Kontext zu jedem Autor kompakt erklärt, Countdown bis zur Abiturprüfung, GSAP Text-Interpretations-Animationen - USE CASE: Lateinschüler im Abitur üben mit Originaltexten der tatsächlich im Lehrplan verankerten Prüfungsautoren, die Verknüpfung zum Vokabeltrainer schließt gezielt Wortschatzlücken die bei Übersetzungen im Abitur häufig zu Punktabzug führen.",
        "overview": "baue einen Abitur-Latein-Vorbereitungs-Trainer Übersetzung-und-Interpretation",
        "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "category_number": 9,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Lateinschüler im Abitur üben mit Originaltexten der tatsächlich im Lehrplan verankerten Prüfungsautoren, die Verknüpfung zum Vokabeltrainer schließt gezielt Wortschatzlücken die bei Übersetzungen im Abitur häufig zu Punktabzug führen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-489",
        "title": "erstelle ein Bundesland-Vergleichs-Tool für Abitur-Anforderungen",
        "prompt_number": 489,
        "prompt": "erstelle ein Bundesland-Vergleichs-Tool für Abitur-Anforderungen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichsübersicht Abitur-Struktur nach Bundesland NRW/Bayern/Baden-Württemberg/weitere, Fach-und-Prüfungsformat-Unterschiede tabellarisch gegenübergestellt, Punktesystem-Vergleich wie sich Noten zwischen den Bundesländern unterscheiden, G8-vs-G9-Erklärung mit Auswirkung auf die Vorbereitungszeit, Umzugs-Ratgeber-Sektion was bei Schulwechsel zwischen Bundesländern während der Oberstufe zu beachten ist, Zentralabitur-vs-dezentrales-Abitur-Erklärung welche Bundesländer welches System nutzen, Themenschwerpunkt-Unterschiede pro Bundesland bei gleichem Fach, Interaktive Deutschlandkarte zur Auswahl des Bundeslands (D3.js), Quellenverweis-Hinweis auf offizielle Kultusministerkonferenz-Regelungen, Suchfunktion nach spezifischer Fragestellung, Export Vergleichsübersicht als PDF, GSAP Bundesland-Auswahl-Animationen - USE CASE: Familien die während der Oberstufe umziehen verstehen welche Unterschiede im Abitursystem des neuen Bundeslands auf ihr Kind zukommen, Nachhilfelehrer die bundeslandübergreifend unterrichten behalten die unterschiedlichen Anforderungsprofile im Blick.",
        "overview": "erstelle ein Bundesland-Vergleichs-Tool für Abitur-Anforderungen",
        "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "category_number": 9,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Familien die während der Oberstufe umziehen verstehen welche Unterschiede im Abitursystem des neuen Bundeslands auf ihr Kind zukommen, Nachhilfelehrer die bundeslandübergreifend unterrichten behalten die unterschiedlichen Anforderungsprofile im Blick.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-490",
        "title": "entwickle einen Abschlussprüfungs-Angst-und-Zeitmanagement-Coach für Abiturienten",
        "prompt_number": 490,
        "prompt": "entwickle einen Abschlussprüfungs-Angst-und-Zeitmanagement-Coach für Abiturienten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Countdown-Übersicht bis zu allen Abiturprüfungsterminen mit verbleibenden Vorbereitungstagen pro Fach, Realistischer-Lernplan-Generator unter Berücksichtigung mehrerer paralleler Abiturfächer, Prüfungsangst-Übungen speziell für die besondere Drucksituation des Abiturs, Zeitmanagement-Simulator wie die Bearbeitungszeit in echten Abiturklausuren typischerweise sinnvoll aufgeteilt wird, Erfahrungsberichte-Sektion-Mockup wie andere Abiturienten die Belastung bewältigt haben, Pausenrhythmus-Empfehlung während der intensiven Vorbereitungsphase, Stimmungs-Tracker über die gesamte Abiturzeit hinweg (ApexCharts Linie), Motivations-Erinnerungen an bereits erreichte Etappen der Schullaufbahn, Elterninfo-Sektion wie in dieser besonders belastenden Phase unterstützt werden kann, Notfall-Kontakt-Hinweis bei ernsthafter Überforderung professionelle Beratungsstellen, Offline-Nutzung ohne Internet, GSAP Countdown-und-Beruhigungs-Animationen - USE CASE: Abiturienten in der besonders belastenden Prüfungsphase mit mehreren Klausuren in kurzer Zeit organisieren Vorbereitung und mentale Balance gemeinsam, der Notfall-Kontakt-Hinweis stellt sicher dass bei echter Überforderung auf professionelle Hilfe statt nur auf die App verwiesen wird. ## Kategorie 10: GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "overview": "entwickle einen Abschlussprüfungs-Angst-und-Zeitmanagement-Coach für Abiturienten",
        "category": "ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)",
        "category_number": 9,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Abiturienten in der besonders belastenden Prüfungsphase mit mehreren Klausuren in kurzer Zeit organisieren Vorbereitung und mentale Balance gemeinsam, der Notfall-Kontakt-Hinweis stellt sicher dass bei echter Überforderung auf professionelle Hilfe statt nur auf die App verwiesen wird. ## Kategorie 10: GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-491",
        "title": "erstelle einen Einmaleins-Trainer im Spiel-Format für die Grundschule",
        "prompt_number": 491,
        "prompt": "erstelle einen Einmaleins-Trainer im Spiel-Format für die Grundschule - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Große kindgerechte Zahlen-Buttons statt kleiner Bedienelemente, Einmaleins-Reihen 1er bis 10er einzeln oder gemischt übbar, Spielfigur-Fortschritt läuft über einen bunten Lernpfad bei richtigen Antworten, Sofortiges freundliches Feedback mit Symbolen statt Textfehlermeldungen, Sternesammlung pro gemeisterter Einmaleins-Reihe, Zeitloser-Übungsmodus ohne Druck für unsichere Kinder, Wettrenn-Modus mit Zeitmessung für sicherere Kinder optional, Elternansicht Fortschritt pro Reihe (ApexCharts Balken), Wiederholungs-Erinnerung für noch unsichere Reihen, Bildschirmzeit-Hinweis eingebaute freundliche Erinnerung nach 15-20 Minuten eine Pause zu machen, Keine Werbung und keine In-App-Käufe, GSAP Spielfigur-Lauf-Animationen - USE CASE: Grundschulkinder üben das Einmaleins spielerisch ohne den Druck einer klassischen Abfrage-Situation, Eltern sehen anhand der Elternansicht objektiv welche Reihen noch mehr Übung brauchen.",
        "overview": "erstelle einen Einmaleins-Trainer im Spiel-Format für die Grundschule",
        "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "category_number": 10,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Grundschulkinder üben das Einmaleins spielerisch ohne den Druck einer klassischen Abfrage-Situation, Eltern sehen anhand der Elternansicht objektiv welche Reihen noch mehr Übung brauchen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-492",
        "title": "entwickle ein Rechtschreib-Spiel Diktat-Abenteuer für die Grundschule",
        "prompt_number": 492,
        "prompt": "entwickle ein Rechtschreib-Spiel Diktat-Abenteuer für die Grundschule - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Abenteuer-Rahmenhandlung kindgerechte Geschichte mit Rechtschreib-Aufgaben als Etappen, Wortlisten nach Klassenstufe 1-4 mit steigendem Schwierigkeitsgrad, Vorlese-Funktion Wörter werden deutlich vorgesprochen, Buchstabier-Hilfe bei besonders schwierigen Wörtern, Freundliches-Feedback bei Fehlern ohne entmutigende Sprache, Fortschritts-Karte durch die Abenteuerwelt visualisiert (D3.js), Sammelobjekte als Belohnung für gemeisterte Wortlisten, Elternansicht welche Wortgruppen noch Übung brauchen (ApexCharts Balken), Wiederholungsmodus für schwierige Wörter eingebettet in die Geschichte, Bildschirmzeit-bewusstes Design mit eingebauten Pausenerinnerungen, Große kindgerechte Schrift und Bedienelemente, GSAP Abenteuer-Szenenwechsel-Animationen - USE CASE: Grundschulkinder üben Rechtschreibung eingebettet in eine motivierende Geschichte statt trockener Diktat-Wiederholung, die freundliche Fehler-Rückmeldung baut keine Versagensängste vor Diktaten auf.",
        "overview": "entwickle ein Rechtschreib-Spiel Diktat-Abenteuer für die Grundschule",
        "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "category_number": 10,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Grundschulkinder üben Rechtschreibung eingebettet in eine motivierende Geschichte statt trockener Diktat-Wiederholung, die freundliche Fehler-Rückmeldung baut keine Versagensängste vor Diktaten auf.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-493",
        "title": "programmiere eine Lese-Abenteuer-App für Leseverständnis in der Grundschule",
        "prompt_number": 493,
        "prompt": "programmiere eine Lese-Abenteuer-App für Leseverständnis in der Grundschule - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze altersgerechte Geschichten mit großer Schrift und Bild-Illustration-Platzhaltern, Verständnisfragen nach jedem Kapitel mit Multiple-Choice kindgerecht formuliert, Vorlese-Funktion für noch unsichere Leser als Unterstützung, Lesetempo-Anpassung eigenes Tempo ohne Zeitdruck, Fortschritts-Bibliothek gelesene Geschichten als bunte Bücherregal-Ansicht, Wortschatz-Erklärungen bei Klick auf unbekannte Wörter, Belohnungs-System neue Geschichten werden nach Abschluss freigeschaltet, Elternansicht Leseverständnis-Entwicklung über Zeit (ApexCharts Linie), Themenvielfalt Abenteuer/Tiere/Freundschaft altersgerecht ausgewählt, Bildschirmzeit-bewusste Sitzungslänge mit sanfter Erinnerung, Keine Werbung und kein Kaufdruck, GSAP Buch-Aufschlag-Animationen - USE CASE: Grundschulkinder trainieren Leseverständnis mit motivierenden altersgerechten Geschichten statt reiner Lehrbuchtexte, die Vorlese-Funktion unterstützt gerade leseschwächere Kinder ohne sie vom eigenständigen Üben auszuschließen.",
        "overview": "programmiere eine Lese-Abenteuer-App für Leseverständnis in der Grundschule",
        "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "category_number": 10,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Grundschulkinder trainieren Leseverständnis mit motivierenden altersgerechten Geschichten statt reiner Lehrbuchtexte, die Vorlese-Funktion unterstützt gerade leseschwächere Kinder ohne sie vom eigenständigen Üben auszuschließen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-494",
        "title": "baue ein Zahlenraum-Rechenspiel für die Grundschule ZR-20-100-1000",
        "prompt_number": 494,
        "prompt": "baue ein Zahlenraum-Rechenspiel für die Grundschule ZR-20-100-1000 - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zahlenraum-Auswahl 20/100/1000 passend zur Klassenstufe, Rechenoperationen Plus/Minus/später Mal/Geteilt schrittweise freigeschaltet, Bunte-Rechenhilfen visuelle Zehnerstangen und Hunderterfeld zur Veranschaulichung (D3.js), Spielerische-Verpackung Rechenaufgaben als Teil eines bunten Sammelspiels, Sofortiges kindgerechtes Feedback mit Symbolen, Schwierigkeitsgrad-Anpassung automatisch nach Erfolgsquote, Fortschritts-Sterne pro Zahlenraum-Stufe, Elternansicht Rechenfehler-Muster erkennen z.B. Zehnerübergang-Schwierigkeiten (ApexCharts Balken), Übungszeit-Empfehlung kurze Einheiten statt langer Sitzungen, Bildschirmzeit-bewusste Sitzungsbegrenzung mit freundlicher Erinnerung, Große Zahlen-Buttons für kleine Kinderhände, GSAP Zahlen-Sammel-Animationen - USE CASE: Grundschulkinder festigen Kopfrechnen im jeweils relevanten Zahlenraum mit visueller Unterstützung durch Zehnerstangen, die Elternansicht macht spezifische Schwierigkeiten wie Zehnerübergänge sichtbar für gezielte zusätzliche Übung.",
        "overview": "baue ein Zahlenraum-Rechenspiel für die Grundschule ZR-20-100-1000",
        "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "category_number": 10,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Grundschulkinder festigen Kopfrechnen im jeweils relevanten Zahlenraum mit visueller Unterstützung durch Zehnerstangen, die Elternansicht macht spezifische Schwierigkeiten wie Zehnerübergänge sichtbar für gezielte zusätzliche Übung.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-495",
        "title": "erstelle eine Buchstaben-Lern-App für Erstklässler",
        "prompt_number": 495,
        "prompt": "erstelle eine Buchstaben-Lern-App für Erstklässler - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buchstaben-Einführung einzeln mit großformatiger Darstellung Groß-und-Kleinbuchstabe, Nachspur-Übung Buchstabenform mit dem Finger oder der Maus nachfahren, Lautzuordnung Buchstabe mit passendem Anlaut-Bild verknüpft, Einfache-Wort-Bildung erste kurze Wörter aus gelernten Buchstaben zusammensetzen, Fortschritts-Alphabet farbig markiert welche Buchstaben bereits gelernt wurden, Wiederholungsspiel bereits gelernte Buchstaben in Erinnerung halten, Elternansicht Lernfortschritt durchs Alphabet (ApexCharts Radial), Sehr einfache Bedienung nur Antippen keine komplexen Gesten nötig, Freundliche Sprachausgabe zur Unterstützung noch nicht lesender Kinder, Kurze Sitzungslänge kindgerecht mit automatischer Pausenerinnerung, Fröhliches aber ruhiges Farbdesign ohne Reizüberflutung, GSAP Buchstaben-Nachspur-Animationen - USE CASE: Erstklässler und Vorschulkinder lernen das Alphabet spielerisch mit Bild- und Lautunterstützung, die sehr einfache Bedienung macht die App auch für Kinder nutzbar die noch nicht selbstständig lesen können.",
        "overview": "erstelle eine Buchstaben-Lern-App für Erstklässler",
        "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "category_number": 10,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Erstklässler und Vorschulkinder lernen das Alphabet spielerisch mit Bild- und Lautunterstützung, die sehr einfache Bedienung macht die App auch für Kinder nutzbar die noch nicht selbstständig lesen können.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-496",
        "title": "entwickle ein Sachunterricht-Quiz-Abenteuer für die Grundschule",
        "prompt_number": 496,
        "prompt": "entwickle ein Sachunterricht-Quiz-Abenteuer für die Grundschule - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenwelten Tiere/Jahreszeiten/Verkehrssicherheit/Körper nach Sachunterricht-Lehrplan, Bild-basierte Quizfragen mit großen kindgerechten Illustrationen, Entdecker-Karte durch die verschiedenen Themenwelten (D3.js), Freundliches-Feedback mit ermutigenden Symbolen bei jeder Antwort, Sammelkarten-Belohnung zu gelernten Themen, Elternansicht Themen-Fortschritt (ApexCharts Radial), Wiederholungsspiel bereits behandelter Themen in neuer Reihenfolge, Vorlese-Funktion für noch nicht sicher lesende Kinder, Kurze Quiz-Runden von wenigen Minuten statt langer Sitzungen, Bildschirmzeit-bewusste automatische Pausenerinnerung, Keine Werbung und kein Kaufdruck im gesamten Spiel, GSAP Themenwelt-Übergangs-Animationen - USE CASE: Grundschulkinder festigen Sachunterrichts-Wissen aus dem Schulalltag spielerisch zuhause, die Themenwelten orientieren sich direkt an typischen Sachunterrichts-Einheiten und ergänzen damit den Unterricht sinnvoll statt ihn zu ersetzen.",
        "overview": "entwickle ein Sachunterricht-Quiz-Abenteuer für die Grundschule",
        "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "category_number": 10,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Tailwind",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Grundschulkinder festigen Sachunterrichts-Wissen aus dem Schulalltag spielerisch zuhause, die Themenwelten orientieren sich direkt an typischen Sachunterrichts-Einheiten und ergänzen damit den Unterricht sinnvoll statt ihn zu ersetzen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-497",
        "title": "programmiere ein Kopfrechnen-Duell-Spiel für die Unterstufe",
        "prompt_number": 497,
        "prompt": "programmiere ein Kopfrechnen-Duell-Spiel für die Unterstufe - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zwei-Spieler-Modus am selben Gerät für Geschwister oder Klassenkameraden ohne Klarnamen nur Spielernamen frei wählbar, Rechenoperationen nach Klassenstufe anpassbar Plus/Minus/Einmaleins/Geteilt, Zeitlimit pro Runde mit Countdown-Anzeige, Punktestand-Anzeige live während des Duells, Schwierigkeitsgrad-Synchronisierung beide Spieler bekommen gleich schwere Aufgaben für Fairness, Einzelspieler-Modus gegen die eigene Bestzeit als Alternative, Rundenstatistik wer wie viele Aufgaben richtig hatte (ApexCharts Balken), Fair-Play-Hinweise gegenseitige Ermutigung statt Bloßstellung bei Fehlern, Highscore-Liste eigene Bestzeiten über mehrere Sitzungen, Kindgerechtes fröhliches Design, GSAP Duell-Punktestand-Animationen - USE CASE: Geschwister oder Freunde üben Kopfrechnen gemeinsam in einem motivierenden aber fairen Wettbewerbsformat, der Einzelspieler-Modus bietet eine druckfreie Alternative für Kinder die sich nicht mit anderen messen möchten.",
        "overview": "programmiere ein Kopfrechnen-Duell-Spiel für die Unterstufe",
        "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "category_number": 10,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Materialize",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Geschwister oder Freunde üben Kopfrechnen gemeinsam in einem motivierenden aber fairen Wettbewerbsformat, der Einzelspieler-Modus bietet eine druckfreie Alternative für Kinder die sich nicht mit anderen messen möchten.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-498",
        "title": "baue ein Belohnungs-Abzeichen-System für Grundschul-Lernapps übergreifend",
        "prompt_number": 498,
        "prompt": "baue ein Belohnungs-Abzeichen-System für Grundschul-Lernapps übergreifend - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale Abzeichen-Galerie die Fortschritte aus verschiedenen Lernbereichen Mathe/Lesen/Schreiben/Sachunterricht zusammenführt, Freischalt-Bedingungen pro Abzeichen klar und kindgerecht erklärt, Fortschrittsbalken zum nächsten Abzeichen sichtbar als Motivation, Sammelalbum-Ansicht wie ein digitales Stickerheft, Eltern-Konfiguration welche Belohnungen mit welchen Abzeichen verknüpft sind, Wochenrückblick gesammelte Abzeichen der Woche als kleine Feier, Fairness-Prinzip Abzeichen für Anstrengung und Übung nicht nur für Bestleistung, Statistik-Ansicht für Eltern welche Bereiche am meisten geübt wurden (ApexCharts Balken), Keine Vergleichs-Rangliste mit anderen Kindern bewusst weggelassen, Buntes aber übersichtliches kindgerechtes Design, Offline-Nutzung als PWA, GSAP Abzeichen-Freischalt-Konfetti-Animationen - USE CASE: Familien mit mehreren genutzten Lern-Apps bündeln die Motivation in einem gemeinsamen Belohnungssystem statt verstreuter Einzel-Erfolge, das bewusste Weglassen von Vergleichs-Ranglisten schützt jüngere Kinder vor unnötigem Leistungsdruck.",
        "overview": "baue ein Belohnungs-Abzeichen-System für Grundschul-Lernapps übergreifend",
        "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "category_number": 10,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bulma",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Familien mit mehreren genutzten Lern-Apps bündeln die Motivation in einem gemeinsamen Belohnungssystem statt verstreuter Einzel-Erfolge, das bewusste Weglassen von Vergleichs-Ranglisten schützt jüngere Kinder vor unnötigem Leistungsdruck.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-499",
        "title": "erstelle ein Uhrzeit-Lernen-Spiel für die Grundschule",
        "prompt_number": 499,
        "prompt": "erstelle ein Uhrzeit-Lernen-Spiel für die Grundschule - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktive analoge Uhr mit verschiebbaren Zeigern zum Einstellen vorgegebener Uhrzeiten, Digital-zu-analog-Zuordnungsspiel beide Darstellungsformen verknüpfen, Alltagssituationen-Aufgaben Schulbeginn/Mittagessen/Schlafenszeit mit passender Uhrzeit verbinden, Schwierigkeitsstufen volle-Stunde/halbe-Stunde/Minutengenau nach Klassenstufe, Sofortiges freundliches Feedback bei richtiger oder falscher Einstellung, Fortschritts-Sterne pro gemeisterter Schwierigkeitsstufe, Elternansicht welche Uhrzeit-Konzepte noch unsicher sind (ApexCharts Balken), Wiederholungsspiel für noch nicht gefestigte Zeitangaben, Kurze Übungseinheiten mit eingebauter Pausenerinnerung, Große kindgerechte Bedienelemente für die Zeiger-Verschiebung, Fröhliches ruhiges Farbdesign, GSAP Uhrzeiger-Bewegungs-Animationen - USE CASE: Grundschulkinder lernen das oft schwierige Konzept der Uhrzeit anhand konkreter Alltagssituationen statt abstrakter Zifferblätter, die Verknüpfung von analoger und digitaler Darstellung schließt eine häufige Verständnislücke zwischen beiden Anzeigeformen.",
        "overview": "erstelle ein Uhrzeit-Lernen-Spiel für die Grundschule",
        "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "category_number": 10,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Skeleton",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "IndexedDB"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Grundschulkinder lernen das oft schwierige Konzept der Uhrzeit anhand konkreter Alltagssituationen statt abstrakter Zifferblätter, die Verknüpfung von analoger und digitaler Darstellung schließt eine häufige Verständnislücke zwischen beiden Anzeigeformen.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "prompt_library",
        "record_id": "school-100:prompt-500",
        "title": "entwickle ein Grundschul-Lern-Dashboard mit bewusster Bildschirmzeit-Kontrolle",
        "prompt_number": 500,
        "prompt": "entwickle ein Grundschul-Lern-Dashboard mit bewusster Bildschirmzeit-Kontrolle - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale Startseite die zu verschiedenen Grundschul-Lernspielen Einmaleins/Rechtschreibung/Lesen/Uhrzeit führt, Eltern-Zeitfenster-Konfiguration wann und wie lange die Lernapps am Tag genutzt werden dürfen, Sanfte Sitzungsende-Erinnerung statt abruptem Abbruch mit Countdown-Vorwarnung, Gesamtübersicht genutzter Lernzeit pro Bereich für Eltern (ApexCharts Balken), Ausgewogenheits-Hinweis wenn ein Bereich stark vernachlässigt wird, Kindgerechte-Symbol-Navigation ohne Lesekompetenz-Voraussetzung, Wochenrückblick als gemeinsames Eltern-Kind-Ritual, Keine Weiterleitung zu externen Inhalten oder Werbung komplett geschlossenes System, Datenschutz-Hinweis alle Daten bleiben ausschließlich lokal auf dem Familiengerät, Mehrkind-Profile mit getrennten Zeitfenstern und Fortschritten, Offline-Nutzung als installierbare PWA für den ganzen Lernspiele-Verbund, GSAP Dashboard-Kachel-Animationen - USE CASE: Eltern von Grundschulkindern behalten über ein zentrales Dashboard die Kontrolle über Bildschirmzeit und Lerninhalte statt einzelne Apps separat verwalten zu müssen, die geschlossene werbefreie Systemarchitektur schützt jüngere Kinder vor unerwünschten externen Inhalten. === ENDE === ## Hinweis Dieser Batch ist an reale wiederkehrende Projektmuster aus dem eigenen HTML-MD-EXPORT-Archiv angelehnt, insbesondere: NACHHILFE (enthält u.a. \"Formelsammlung to go\" und \"5-Sprachen-Grammatik kompakt\", Vorlage für Kategorie 2 und 3), joojo (\"109 Übungstests fürs Gymnasium NRW – Eltern-/Schülerhandbuch\", direkte Vorlage für #408 und den NRW-Fokus in Kategorie 1 und 9), latina-v-klausur-trainer-ios-css-neu (Latein-Klausurtrainer, Vorlage für #404 und #488), sowie PWA-HISTORY-NACHHILFE und pwa-history (Geschichts-Nachhilfe-PWAs, Vorlage für #473 und #479). Alle 100 Prompts sind zusätzlich an konkreten deutschen Lehrplan- und Prüfungsdetails geerdet (NRW-Zentralabitur/ZP10, bayerisches G9-Abitur und Quali/Mittlere Reife, gängige Lehrwerk-Strukturen in Fremdsprachen, Kernlehrplan-Kompetenzbereiche) und durchgängig datenschutzbewusst für eine minderjährige Zielgruppe konzipiert: keine Klarnamen-Pflicht, keine Fotos von Kindern, keine Werbung oder Kaufanreize in Grundschul-Apps, alle Daten lokal in LocalStorage/IndexedDB statt Cloud-Erhebung.",
        "overview": "entwickle ein Grundschul-Lern-Dashboard mit bewusster Bildschirmzeit-Kontrolle",
        "category": "GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)",
        "category_number": 10,
        "cluster": "Schule / Nachhilfe / Prüfungsvorbereitung",
        "tech_stack": [
          "Bootstrap5",
          "Alpine.js",
          "ApexCharts",
          "D3.js",
          "GSAP",
          "LocalStorage"
        ],
        "tags": [
          "prompts",
          "batch-generation",
          "html5",
          "frontend-only",
          "schule",
          "nachhilfe",
          "k12",
          "pruefungsvorbereitung",
          "abitur",
          "formelsammlung",
          "vokabeltrainer"
        ],
        "use_case": "Eltern von Grundschulkindern behalten über ein zentrales Dashboard die Kontrolle über Bildschirmzeit und Lerninhalte statt einzelne Apps separat verwalten zu müssen, die geschlossene werbefreie Systemarchitektur schützt jüngere Kinder vor unerwünschten externen Inhalten. === ENDE === ## Hinweis Dieser Batch ist an reale wiederkehrende Projektmuster aus dem eigenen HTML-MD-EXPORT-Archiv angelehnt, insbesondere: NACHHILFE (enthält u.a. \"Formelsammlung to go\" und \"5-Sprachen-Grammatik kompakt\", Vorlage für Kategorie 2 und 3), joojo (\"109 Übungstests fürs Gymnasium NRW – Eltern-/Schülerhandbuch\", direkte Vorlage für #408 und den NRW-Fokus in Kategorie 1 und 9), latina-v-klausur-trainer-ios-css-neu (Latein-Klausurtrainer, Vorlage für #404 und #488), sowie PWA-HISTORY-NACHHILFE und pwa-history (Geschichts-Nachhilfe-PWAs, Vorlage für #473 und #479). Alle 100 Prompts sind zusätzlich an konkreten deutschen Lehrplan- und Prüfungsdetails geerdet (NRW-Zentralabitur/ZP10, bayerisches G9-Abitur und Quali/Mittlere Reife, gängige Lehrwerk-Strukturen in Fremdsprachen, Kernlehrplan-Kompetenzbereiche) und durchgängig datenschutzbewusst für eine minderjährige Zielgruppe konzipiert: keine Klarnamen-Pflicht, keine Fotos von Kindern, keine Werbung oder Kaufanreize in Grundschul-Apps, alle Daten lokal in LocalStorage/IndexedDB statt Cloud-Erhebung.",
        "source": "school-100.md",
        "source_path": "school-100.md",
        "library_title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
        "is_local_project": false,
        "is_prompt": true,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "stack_snapshot",
        "record_id": "stack-snapshot:0020:faithfulanxiouscomputers",
        "title": "FaithfulAnxiousComputers",
        "project": "FaithfulAnxiousComputers",
        "category": "Snapshot · Draft",
        "cluster": "Replit Stack Snapshot",
        "status": "Draft",
        "published_url": "",
        "created_estimate": "2024-09-07",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": [],
        "overview": "Draft · archive=missing · created≈2024-09-07",
        "source": "replit-stack-komplett.txt",
        "source_path": "replit-stack-komplett-kuratiert.txt",
        "tags": [
          "stack-snapshot",
          "draft",
          "missing"
        ],
        "tech_stack": [],
        "is_snapshot_evidence": true,
        "is_root_file": false,
        "is_local_project": false,
        "is_prompt": false,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "stack_snapshot",
        "record_id": "stack-snapshot:0025:rustyessentialmoto",
        "title": "RustyEssentialMoto",
        "project": "RustyEssentialMoto",
        "category": "Snapshot · Draft",
        "cluster": "Replit Stack Snapshot",
        "status": "Draft",
        "published_url": "",
        "created_estimate": "2024-09-07",
        "archive_status": "missing",
        "match_kind": "none",
        "archive_matches": [],
        "overview": "Draft · archive=missing · created≈2024-09-07",
        "source": "replit-stack-komplett.txt",
        "source_path": "replit-stack-komplett-kuratiert.txt",
        "tags": [
          "stack-snapshot",
          "draft",
          "missing"
        ],
        "tech_stack": [],
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        "overview": "--- project: 100-database-apps-complex-prompts category: Prompt-Bibliothek cluster: Datenbank-Apps aller Art tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, datenbank, crud, indexeddb, localstorage, sammlungen, inventar] --- # 100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700) ## Overview Batch 7 der Prompt-Bibliothek ist im Gegensatz zu den bisherigen sektor-basierten Batches winkel-basiert (\"angle-based\"): statt eine Branche oder Markenwelt zu covern, nimmt dieser Batch die Anwendungsklasse \"Datenbank-App\" selbst als Linse und wandert damit durch zehn völlig unterschiedliche reale Datendomänen — von der privaten Sammlung über Kontakte, Bibliotheken, Rezepte, Wissen,",
        "content": "---\nproject: 100-database-apps-complex-prompts\ncategory: Prompt-Bibliothek\ncluster: Datenbank-Apps aller Art\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, datenbank, crud, indexeddb, localstorage, sammlungen, inventar]\n---\n\n# 100 Datenbank-App HTML5-Prompts aller Art (Batch 7, #601-#700)\n\n## Overview\nBatch 7 der Prompt-Bibliothek ist im Gegensatz zu den bisherigen sektor-basierten Batches winkel-basiert (\"angle-based\"): statt eine Branche oder Markenwelt zu covern, nimmt dieser Batch die Anwendungsklasse \"Datenbank-App\" selbst als Linse und wandert damit durch zehn völlig unterschiedliche reale Datendomänen — von der privaten Sammlung über Kontakte, Bibliotheken, Rezepte, Wissen, Projekte, IT-Assets, Events, Gesundheit bis zur Genealogie. Da der gesamte Stack Frontend-Only HTML5-Apps ohne Anwendungsserver produziert (keine Node/PHP/Python-Backends, keine echten SQL-Server), gilt hier konsequent die etablierte Projekt-Prämisse: \"Datenbank\" bedeutet in diesem Kontext IndexedDB bzw. LocalStorage als client-seitige Persistenzschicht direkt im Browser. Jede der 100 Apps ist ein waschechtes CRUD-/Katalog-/Record-Management-Tool mit den Kernmerkmalen einer echten Datenbank-Anwendung — strukturierte Datensätze mit festen Feldern, Volltextsuche/Filter/Sortierung, Verknüpfungen zwischen verschiedenen Datensatz-Typen (Relationen), Import/Export als CSV/JSON, Duplikat-Erkennung, Datenvalidierungsregeln und Backup/Restore-Funktionen — nur eben ohne echten Server im Hintergrund. Es gibt bewusst keine \"verschiedenen Datenbank-Technologien\" zu covern, da es keinen Server-Unterbau gibt; stattdessen variiert dieser Batch systematisch die Datendomäne, auf die dasselbe Datenbank-App-Muster angewendet wird.\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße, 2500+ Zeilen Code, 250+ Components, 8+ GSAP-Animationen, Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books, kein Server, keine echte Datenbank-Engine)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts + D3.js + GSAP + LocalStorage/IndexedDB\n- Jede App zeigt durchgängig echte Datenbank-App-Muster: strukturierte Records mit Pflichtfeldern, Suche/Filter/Sortierung, Verknüpfung zwischen Datensatz-Typen, Import/Export CSV/JSON, Duplikat-Erkennung, Datenvalidierung, Backup/Restore sowie mindestens eine Statistik-/Chart-Ansicht (ApexCharts/D3.js) statt einer reinen Tabelle\n\n## Kategorie 1: PERSÖNLICHE INVENTAR- & SAMMLUNGSDATENBANKEN (10 Prompts)\n\n1. **#601** — erstelle eine Elektronik-Inventar-Datenbank mit Garantie-Tracking - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Geräte-Stammdaten Hersteller/Modell/Seriennummer/Kaufdatum/Kaufpreis, Garantie-Ablauf-Tracking mit Ampel-Warnung nahender Fristen, Raum-Zuordnung pro Gerät Wohnzimmer/Küche/Büro, Foto-Anhang pro Gerät als Beleg, Kaufbeleg-Upload-Mockup Rechnung verknüpft, Volltextsuche mit Filtern nach Kategorie/Raum/Hersteller, Sortierbare Tabellenansicht nach Kaufdatum/Wert/Garantie-Status, Verknüpfung zu Versicherungs-Datensätzen bei Diebstahl/Schaden, Duplikat-Erkennung bei Seriennummer-Eingabe, Datenvalidierung Pflichtfelder und Preisformat vor Speichern, Import/Export als CSV und JSON für Versicherungsmeldungen, Backup/Restore-Funktion gesamte Inventar-Datenbank, Gesamtwert-Dashboard nach Raum und Kategorie (ApexCharts Treemap), GSAP Karten-Einblend-Animationen bei neuen Einträgen - USE CASE: Haushalte dokumentieren den Wiederbeschaffungswert ihrer Elektronikgeräte lückenlos für den Schadensfall, Versicherungsnehmer liefern im Schadensfall sofort eine vollständige belegte Liste statt aus dem Gedächtnis zu rekonstruieren.\n\n2. **#602** — entwickle eine Möbel-Inventar-Datenbank mit Zustands-Historie - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Möbelstück-Stammdaten Hersteller/Material/Kaufdatum/Kaufpreis/Zustand, Zustands-Historie mit Fotos über Zeit, Raum-Grundriss-Zuordnung welches Möbel in welchem Zimmer, Reparatur-und-Pflege-Log pro Möbelstück, Volltextsuche mit Filtern nach Raum/Material/Zustand, Sortierbare Ansicht nach Wert/Alter/Zustand, Verknüpfung zu Kaufbelegen und Herstellergarantien, Duplikat-Erkennung bei ähnlichen Einträgen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Umzugsplanung, Backup/Restore gesamter Möbel-Datenbestand, Wertverlust-Simulation über Zeit (ApexCharts Line), Umzugs-Checkliste-Modus alle Möbel eines Raums, GSAP Raum-Wechsel-Animationen - USE CASE: Mieter und Eigentümer dokumentieren ihren Möbelbestand für Umzüge und Versicherungsfälle systematisch, die Zustands-Historie schafft Nachweise bei Streitigkeiten über Möbelschäden.\n\n3. **#603** — programmiere eine Werkzeug- und Heimwerker-Inventar-Datenbank mit Garantie/Leihstatus - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Werkzeug-Stammdaten Typ/Hersteller/Kaufdatum/Garantie-Ablauf, Leihstatus-Tracking wer hat welches Werkzeug gerade ausgeliehen, Standort-Zuordnung Werkstatt/Keller/Garage-Regal, Wartungs-Intervall-Erinnerung für Akkugeräte/Maschinen, Volltextsuche mit Filtern nach Kategorie/Standort/Verfügbarkeit, Sortierbare Ansicht nach Kaufdatum/Garantie-Status/Nutzungshäufigkeit, Verknüpfung zwischen Werkzeug und Projekten wofür verwendet, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON, Backup/Restore-Funktion, Nutzungsstatistik meistgenutzte Werkzeuge (ApexCharts Balken), Rückgabe-Erinnerung überfällige Leihgaben, GSAP Regal-Ansicht-Animationen - USE CASE: Heimwerker behalten trotz wachsender Werkzeugsammlung den Überblick über Standort und Garantiestatus, verliehene Werkzeuge an Nachbarn oder Familie werden nicht mehr vergessen.\n\n4. **#604** — baue einen Münzsammlung-Katalog (Numismatik) - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Münz-Katalogdaten Prägejahr/Nominal/Land/Erhaltungsgrad/Material, Katalognummer-Verknüpfung Referenzwerke, Foto-Dokumentation Vorder-und-Rückseite pro Münze, Marktwert-Schätzung-Feld mit Verlaufs-Historie, Volltextsuche mit Filtern nach Land/Epoche/Erhaltungsgrad, Sortierbare Sammlung nach Wert/Jahr/Seltenheit, Verknüpfung zu Erwerbs-Belegen und Händlerkontakten, Duplikat-Erkennung gleiche Münze bereits erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Versicherungsnachweis, Backup/Restore gesamte Sammlung, Sammlungswert-Entwicklung über Zeit (ApexCharts Line), Wunschlisten-Modus fehlende Münzen einer Serie, GSAP Vitrinen-Ansicht-Animationen - USE CASE: Münzsammler katalogisieren ihre wachsende Sammlung strukturiert statt in Karteikarten oder Excel, der geschätzte Gesamtwert dient als Nachweis gegenüber der Hausratversicherung.\n\n5. **#605** — erstelle einen Briefmarkensammlung-Katalog (Philatelie) - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Briefmarken-Stammdaten Ausgabejahr/Land/Motiv/Zähnung/Erhaltungszustand, Album-Seiten-Zuordnung virtuelle Anordnung, Katalognummer-Referenz Michel/Yvert, Foto-Scan-Anhang pro Marke, Volltextsuche mit Filtern nach Land/Motiv/Jahr, Sortierbare Ansicht nach Wert/Seltenheit/Zustand, Verknüpfung zu Themenserien zusammengehörige Ausgaben, Duplikat-Erkennung beim Erfassen, Datenvalidierung Pflichtfelder und Jahresformat, Import/Export CSV/JSON, Backup/Restore-Funktion, Sammlungsstatistik nach Ländern und Epochen (ApexCharts Donut), Fehlbestands-Liste noch fehlende Marken einer Serie, GSAP Album-Blättern-Animationen - USE CASE: Philatelisten verwalten umfangreiche Sammlungen digital mit sofortigem Überblick über Lücken in Themenserien, die Album-Seiten-Zuordnung erleichtert die physische Neuordnung der realen Sammlung.\n\n6. **#606** — entwickle eine Vinyl-Sammlung-Katalog-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schallplatten-Stammdaten Interpret/Album/Pressjahr/Label/Zustand-Cover-und-Vinyl, Genre- und Stimmungs-Tags, Hörprotokoll wann zuletzt gespielt, Wert-Schätzung nach Presswerk und Seltenheit, Volltextsuche mit Filtern nach Interpret/Genre/Jahrzehnt, Sortierbare Regalansicht nach Label/Zustand/Wert, Verknüpfung zu Konzertbesuchen oder Erinnerungen pro Album, Duplikat-Erkennung bereits vorhandene Pressung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Versicherung, Backup/Restore gesamte Sammlung, Sammlungswert- und Genre-Verteilung (ApexCharts Treemap), Wunschliste noch fehlende Pressungen, GSAP Plattencover-Flip-Animationen - USE CASE: Vinyl-Sammler dokumentieren Presswerk-Details und Zustand für den Wiederverkaufswert präzise, Musikliebhaber erhalten einen visuellen Überblick über Jahrzehnte und Genres der eigenen Sammlung.\n\n7. **#607** — programmiere eine Weinkeller-Datenbank mit Trinkreife-Tracking - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wein-Stammdaten Weingut/Jahrgang/Rebsorte/Region/Trinkreife-Fenster, Lagerort-Zuordnung Regal/Fach im Weinkeller, Trinkreife-Erinnerung optimales Trinkfenster mit Ampel, Verkostungsnotizen pro Flasche mit Bewertung, Volltextsuche mit Filtern nach Region/Rebsorte/Jahrgang, Sortierbare Ansicht nach Trinkreife/Wert/Lagerort, Verknüpfung zu Menü-Empfehlungen Speise-Wein-Pairing, Duplikat-Erkennung gleiche Flasche mehrfach erfasst, Datenvalidierung Pflichtfelder und Jahrgangs-Plausibilität, Import/Export CSV/JSON für Versicherungswert, Backup/Restore-Funktion, Bestandswert- und Trinkreife-Übersicht (ApexCharts Gauge), Nachkauf-Erinnerung bei Lieblingsweinen zur Neige, GSAP Regal-Fach-Animationen - USE CASE: Weinliebhaber behalten bei wachsendem Bestand den Überblick welche Flasche wann getrunken werden sollte, Sammler mit Investment-Weinen dokumentieren Lagerbedingungen und Wert für Versicherung und Wiederverkauf.\n\n8. **#608** — baue einen generalisierten Sammelobjekte-Katalog Comics/Actionfiguren/Modellautos - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kategorie-übergreifende Sammelobjekt-Stammdaten Sammelkarten/Comics/Actionfiguren/Modellautos mit Zustandsgrad, Seltenheits-Klassifizierung pro Objekttyp, Foto-Dokumentation mehrere Ansichten pro Objekt, Erwerbs-Historie Kaufpreis und Quelle, Volltextsuche mit Filtern nach Kategorie/Serie/Zustand, Sortierbare Sammlung nach Wert/Seltenheit/Erwerbsdatum, Verknüpfung zwischen zusammengehörigen Sets und Serien, Duplikat-Erkennung beim Erfassen neuer Objekte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Sammlungswert-Entwicklung nach Kategorie (ApexCharts Balken), Vollständigkeits-Tracker fehlende Objekte einer Serie, GSAP Vitrinen-Karten-Animationen - USE CASE: Sammler verschiedenster Nischen von Comics bis Modellautos nutzen eine einzige flexible Datenbank statt spezialisierter Einzeltools, die Vollständigkeits-Anzeige motiviert zum gezielten Nachkauf fehlender Serienobjekte.\n\n9. **#609** — erstelle ein Hausrat-Versicherungsregister für Vermögensgegenstände - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vermögensgegenstand-Stammdaten Kategorie/Anschaffungswert/Wiederbeschaffungswert/Kaufdatum, Verknüpfung zu Kaufbelegen und Fotos als Schadensnachweis, Raum-Zuordnung für Schadenslokalisierung, Versicherungspolicen-Zuordnung welcher Gegenstand über welche Police läuft, Volltextsuche mit Filtern nach Kategorie/Raum/Wertklasse, Sortierbare Ansicht nach Wert/Alter/Police, Verknüpfung zu Schadensfällen historisch gemeldete Vorfälle, Duplikat-Erkennung bei Mehrfacherfassung, Datenvalidierung Pflichtfelder und Wertformat vor Speichern, Import/Export CSV/JSON als Beleg für Versicherer, Backup/Restore-Funktion Gesamtregister, Gesamtwert-Dashboard nach Kategorie und Raum (ApexCharts Treemap), Unterversicherungs-Warnung bei Wertsprüngen, GSAP Dashboard-Update-Animationen - USE CASE: Haushalte erstellen ein versicherungstaugliches Vermögensregister das im Schadensfall sofort belastbare Nachweise liefert, die Unterversicherungs-Warnung hilft die Hausratversicherung rechtzeitig anzupassen.\n\n10. **#610** — entwickle eine Kunst- und Antiquitäten-Sammlung-Datenbank mit Provenienz - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kunstobjekt-Stammdaten Künstler/Epoche/Technik/Maße/Erwerbsjahr, Provenienz-Dokumentation lückenlose Besitzerkette, Zertifikats-und-Echtheitsnachweis-Anhang, Zustandsberichte über Zeit mit Restaurierungs-Historie, Volltextsuche mit Filtern nach Künstler/Epoche/Wertklasse, Sortierbare Ansicht nach Wert/Erwerbsjahr/Zustand, Verknüpfung zu Ausstellungen wo Objekt gezeigt wurde, Duplikat-Erkennung bei Katalogisierung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Gutachten und Versicherung, Backup/Restore gesamte Sammlung, Wertentwicklung nach Künstler und Epoche (ApexCharts Line), Versicherungswert-Gutachten-Erinnerung bei Fälligkeit, GSAP Galerie-Ansicht-Animationen - USE CASE: Kunstsammler dokumentieren Provenienz und Zustand ihrer Objekte lückenlos für Wiederverkauf und Versicherung, die Ausstellungs-Verknüpfung schafft einen nachvollziehbaren kulturhistorischen Werdegang jedes Stücks.\n\n## Kategorie 2: KONTAKT- & BEZIEHUNGSDATENBANKEN (10 Prompts)\n\n11. **#611** — programmiere eine persönliche CRM-Kontaktdatenbank mit Beziehungs-Netzwerk - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kontakt-Stammdaten Name/Beziehungstyp/Kennenlern-Kontext/Kontaktdaten, Interaktions-Historie Anrufe/Treffen/Nachrichten chronologisch, Wiedervorlage-Erinnerung längere Zeit nicht gemeldet, Beziehungs-Netzwerk-Visualisierung wer kennt wen (D3.js Force-Graph), Volltextsuche mit Filtern nach Beziehungstyp/Tags/Ort, Sortierbare Ansicht nach letztem Kontakt/Wichtigkeit, Verknüpfung zwischen Kontakten und gemeinsamen Ereignissen, Duplikat-Erkennung ähnlicher Namen beim Anlegen, Datenvalidierung Pflichtfelder und E-Mail-Format, Import/Export CSV/vCard/JSON, Backup/Restore gesamte Kontaktdatenbank, Kontakthäufigkeits-Statistik pro Beziehungstyp (ApexCharts), Geburtstags-und-Jahrestags-Erinnerung, GSAP Netzwerk-Graph-Animationen - USE CASE: Privatpersonen pflegen ihr persönliches Beziehungsnetzwerk aktiv statt es dem Zufall zu überlassen, die Wiedervorlage-Erinnerung verhindert dass wichtige Kontakte über Jahre einschlafen.\n\n12. **#612** — baue eine Freelancer-Klienten-CRM-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klienten-Stammdaten Firma/Ansprechpartner/Branche/Akquise-Quelle, Projekt-Historie pro Klient verknüpft, Angebots-und-Auftrags-Status-Tracking, Kommunikations-Log E-Mails/Calls/Meetings, Volltextsuche mit Filtern nach Branche/Status/Umsatzklasse, Sortierbare Ansicht nach Umsatz/letztem Kontakt/Status, Verknüpfung zu Rechnungen und offenen Posten, Duplikat-Erkennung bei Firmenname-Ähnlichkeit, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Steuerberater, Backup/Restore-Funktion, Umsatz-pro-Klient-Dashboard (ApexCharts Balken), Wiedervorlage-Erinnerung für Follow-ups, GSAP Klienten-Karten-Animationen - USE CASE: Freelancer verwalten ihre Kundenbeziehungen und Auftragshistorie zentral statt in verstreuten Notizen, das Umsatz-Dashboard zeigt sofort welche Klienten am wertvollsten sind.\n\n13. **#613** — erstelle eine Alumni-Netzwerk-Datenbank für Hochschulen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Absolventen-Stammdaten Abschlussjahr/Studiengang/aktuelle-Position/Firma, Karriereweg-Historie pro Alumnus, Mentoring-Bereitschaft-Kennzeichnung wer hilft aktuellen Studierenden, Regionale-Gruppen-Zuordnung Standort-Cluster, Volltextsuche mit Filtern nach Jahrgang/Studiengang/Branche, Sortierbare Ansicht nach Abschlussjahr/Branche/Region, Verknüpfung zwischen Alumni und Veranstaltungen Teilnahme-Historie, Duplikat-Erkennung bei Neuanmeldung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Verbandsverwaltung, Backup/Restore gesamte Datenbank, Karriere-Verteilung nach Branchen (ApexCharts Sankey), Spendenbereitschafts-Tracking-Mockup, GSAP Netzwerk-Karten-Animationen - USE CASE: Ehemaligenvereine und Hochschulen pflegen den Kontakt zu Absolventen über Jahrzehnte strukturiert, aktuelle Studierende finden über die Mentoring-Kennzeichnung passende Ansprechpartner für den Berufseinstieg.\n\n14. **#614** — entwickle eine Familie-und-Freunde-wichtige-Daten-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Personen-Stammdaten Name/Beziehung/Geburtstag/Jahrestag/Geschenk-Vorlieben, Wichtige-Termine-Kalenderansicht Geburtstage/Hochzeitstage/Gedenktage, Geschenkideen-Liste pro Person mit Budget, Erinnerungs-Vorlauf konfigurierbar Tage vor Termin, Volltextsuche mit Filtern nach Beziehungstyp/Monat, Sortierbare Ansicht nach nächstem Termin/Beziehung, Verknüpfung zwischen Personen gleicher Familie, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON/Kalenderformat, Backup/Restore-Funktion, Termine-pro-Monat-Übersicht (ApexCharts Balken), Geschenke-Budget-Tracking über das Jahr, GSAP Kalender-Monatswechsel-Animationen - USE CASE: Familien behalten trotz vieler wichtiger Termine den Überblick über Geburtstage und Jahrestage aller Angehörigen, die Geschenkideen-Liste verhindert Last-Minute-Stress vor jedem Anlass.\n\n15. **#615** — programmiere einen professionellen Empfehlungsnetzwerk-Tracker - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kontakt-Stammdaten Name/Fachgebiet/Vertrauensstufe/Empfehlungshistorie, Empfehlungs-Tracking wer hat wen an wen vermittelt, Netzwerk-Visualisierung Empfehlungsketten (D3.js Sankey), Gegenseitigkeits-Score wie oft wurde zurück-empfohlen, Volltextsuche mit Filtern nach Fachgebiet/Region/Vertrauensstufe, Sortierbare Ansicht nach Empfehlungsanzahl/letztem Kontakt, Verknüpfung zwischen Empfehlungen und resultierenden Aufträgen, Duplikat-Erkennung bei Kontaktanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamtes Netzwerk, Empfehlungs-Erfolgsquote-Dashboard (ApexCharts), Dankes-Erinnerung nach erfolgreicher Vermittlung, GSAP Empfehlungsketten-Animationen - USE CASE: Selbstständige und Berater pflegen ihr Netzwerk aus gegenseitigen Weiterempfehlungen systematisch statt informell im Kopf, die Erfolgsquote zeigt welche Netzwerkpartner tatsächlich werthaltige Aufträge vermitteln.\n\n16. **#616** — baue eine Networking-Visitenkarten-Datenbank mit Follow-up-Tracking - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Visitenkarten-Stammdaten Name/Firma/Position/Event-Kontext-Kennenlernen, Foto-Anhang gescannte Visitenkarte-Mockup, Follow-up-Status-Tracking kontaktiert/wartend/erledigt, Tag-System nach Branche/Interesse/Veranstaltung, Volltextsuche mit Filtern nach Event/Branche/Status, Sortierbare Ansicht nach Kennenlern-Datum/Follow-up-Status, Verknüpfung zu Veranstaltungen bei denen Kontakt entstand, Duplikat-Erkennung gleiche Person mehrfach gescannt, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/vCard/JSON, Backup/Restore-Funktion, Netzwerk-Wachstum-pro-Event-Statistik (ApexCharts), Erinnerung für ausstehende Follow-ups, GSAP Karten-Scan-Animationen - USE CASE: Vielbesucher von Konferenzen und Messen wandeln gesammelte Visitenkarten systematisch in gepflegte Kontakte um, das Follow-up-Tracking verhindert dass wertvolle neue Kontakte nach dem Event verpuffen.\n\n17. **#617** — erstelle eine Vermieter-Mieter-Verwaltungsdatenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mieter-Stammdaten Name/Einheit/Mietbeginn/Kontaktdaten, Mietvertrags-Verknüpfung pro Mieter mit Konditionen, Kommunikations-Log Anfragen/Mängelmeldungen, Zahlungshistorie-Übersicht pro Mieteinheit, Volltextsuche mit Filtern nach Einheit/Status/Mietdauer, Sortierbare Ansicht nach Mietbeginn/Einheit/offenen-Punkten, Verknüpfung zwischen Mietern und gemeldeten Mängeln, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON für Hausverwaltung, Backup/Restore gesamte Mieterdatenbank, Belegungs-und-Fluktuations-Statistik (ApexCharts), Vertragsverlängerungs-Erinnerung vor Fristablauf, GSAP Einheiten-Übersichts-Animationen - USE CASE: Privatvermieter mit mehreren Einheiten behalten Mietverhältnisse und Kommunikation zentral im Blick statt in verstreuten E-Mails, die Fluktuationsstatistik zeigt frühzeitig Handlungsbedarf bei häufigen Mieterwechseln.\n\n18. **#618** — entwickle eine Nachbarschaftsnetzwerk-Datenbank für gegenseitige Hilfe - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Nachbar-Stammdaten Name/Adresse/Haushaltsgröße/Fähigkeiten-Angebot, Gegenseitige-Hilfe-Tracking wer hat wem wann geholfen, Ressourcen-Tausch-Verzeichnis Leihgaben zwischen Haushalten, Notfallkontakt-Kennzeichnung für Vertretungen im Urlaub, Volltextsuche mit Filtern nach Straße/Fähigkeit/Verfügbarkeit, Sortierbare Ansicht nach Adresse/letzter-Interaktion, Verknüpfung zwischen Hilfegesuchen und Helfern, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Aktivitäts-Statistik Hilfsnetzwerk (ApexCharts), Nachbarschaftsfest-Planungs-Verknüpfung, GSAP Nachbarschaftskarten-Animationen - USE CASE: Nachbarschaften organisieren gegenseitige Unterstützung und Ressourcentausch strukturiert statt über lose WhatsApp-Gruppen, die Notfallkontakt-Funktion schafft Sicherheit bei kurzfristiger Abwesenheit.\n\n19. **#619** — programmiere einen Mentor-Mentee-Beziehungstracker - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mentoring-Beziehungs-Stammdaten Mentor/Mentee/Start-Datum/Zielsetzung, Sitzungs-Protokoll-Log pro Treffen mit Themen, Fortschritts-Tracking vereinbarte Ziele erreicht/offen, Feedback-Formular nach jeder Sitzung, Volltextsuche mit Filtern nach Status/Themenbereich, Sortierbare Ansicht nach Startdatum/Fortschritt, Verknüpfung mehrerer Mentees zu einem Mentor, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Programmverwaltung, Backup/Restore gesamtes Programm, Fortschritts-Dashboard über alle Mentoring-Paare (ApexCharts Radar), Erinnerung für nächste vereinbarte Sitzung, GSAP Fortschritts-Animationen - USE CASE: Mentoring-Programme in Unternehmen oder Vereinen dokumentieren den Verlauf einzelner Mentoring-Beziehungen strukturiert, Programmverantwortliche erkennen anhand des Dashboards welche Paarungen zusätzliche Unterstützung brauchen.\n\n20. **#620** — baue eine Lieferanten-Beziehungsdatenbank für Kleinunternehmen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lieferanten-Stammdaten Firma/Ansprechpartner/Produktkategorie/Zahlungsziel, Bestellhistorie pro Lieferant verknüpft, Zuverlässigkeits-Bewertung Lieferzeit-Einhaltung, Preisentwicklungs-Tracking pro Artikel über Zeit, Volltextsuche mit Filtern nach Kategorie/Bewertung/Region, Sortierbare Ansicht nach Bestellvolumen/Zuverlässigkeit, Verknüpfung zwischen Lieferanten und bestellten Artikeln, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Buchhaltung, Backup/Restore-Funktion, Lieferanten-Performance-Dashboard (ApexCharts), Vertragsverlängerungs-Erinnerung, GSAP Lieferanten-Karten-Animationen - USE CASE: Kleinunternehmen behalten bei wachsender Lieferantenzahl Zuverlässigkeit und Konditionen im Überblick, das Performance-Dashboard erleichtert die Entscheidung bei der nächsten Vertragsverhandlung.\n\n## Kategorie 3: BIBLIOTHEKS- & MEDIENKATALOGE (10 Prompts)\n\n21. **#621** — erstelle einen persönlichen Bücher-Bibliothekskatalog mit ISBN-Lookup-Mock - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buch-Stammdaten Titel/Autor/ISBN/Genre/Erscheinungsjahr, ISBN-Lookup-Mock automatisches Ausfüllen der Metadaten, Lesestatus-Tracking gelesen/aktuell-lesend/geplant, Bewertungs-und-Rezensions-Feld pro Buch, Volltextsuche mit Filtern nach Genre/Autor/Lesestatus, Sortierbare Ansicht nach Erscheinungsjahr/Bewertung/Autor, Verknüpfung zwischen Büchern derselben Reihe, Duplikat-Erkennung bei ISBN-Übereinstimmung, Datenvalidierung Pflichtfelder und ISBN-Format-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Bibliothek, Lesestatistik nach Genre und Jahr (ApexCharts Balken), Leseziel-Tracker Bücher pro Jahr, GSAP Bücherregal-Animationen - USE CASE: Vielleser katalogisieren ihre wachsende Bibliothek mit automatisiertem Metadaten-Abgleich statt manueller Eingabe, das Leseziel-Tracking motiviert zum regelmäßigen Weiterlesen über das Jahr.\n\n22. **#622** — entwickle einen Bücher-Verleih-Tracker für ausgeliehene Bücher - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verleih-Stammdaten Buchtitel/Ausleiher/Ausleihdatum/vereinbartes-Rückgabedatum, Verknüpfung zum Bibliothekskatalog-Datensatz, Überfällig-Ampel bei verstrichener Rückgabefrist, Erinnerungs-Funktion an Ausleiher, Volltextsuche mit Filtern nach Status/Ausleiher/Buch, Sortierbare Ansicht nach Ausleihdatum/Überfälligkeit, Verknüpfung mehrerer Ausleihen desselben Kontakts, Duplikat-Erkennung gleiches Buch bereits verliehen, Datenvalidierung Pflichtfelder und Datumsformate, Import/Export CSV/JSON, Backup/Restore-Funktion, Verleih-Statistik meistverliehene Bücher (ApexCharts), Rückgabe-Historie pro Ausleiher Zuverlässigkeits-Score, GSAP Überfällig-Warnungs-Animationen - USE CASE: Buchbesitzer behalten den Überblick welches Buch bei welchem Freund gerade ausgeliehen ist, der Zuverlässigkeits-Score hilft künftig einzuschätzen wem man bedenkenlos etwas leiht.\n\n23. **#623** — programmiere eine Film-Watch-Datenbank mit Sehgewohnheiten-Statistik - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Film-Stammdaten Titel/Regisseur/Jahr/Genre/Laufzeit, Watch-Status geplant/geschaut/abgebrochen, Bewertungs-und-Notizfeld pro Film, Streaming-Verfügbarkeits-Mockup wo aktuell verfügbar, Volltextsuche mit Filtern nach Genre/Jahr/Bewertung, Sortierbare Ansicht nach Watch-Datum/Bewertung/Genre, Verknüpfung zwischen Filmen und Schauspielern/Regisseuren, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Datenbank, Sehgewohnheiten-Statistik nach Genre und Jahrzehnt (ApexCharts Radar), Watchlist-Priorisierung, GSAP Filmplakat-Flip-Animationen - USE CASE: Filmliebhaber dokumentieren gesehene Filme mit eigener Bewertung statt sich auf externe Portale zu verlassen, die Genre-Statistik zeigt die eigenen Sehgewohnheiten über Jahre hinweg auf.\n\n24. **#624** — baue eine Serien-Watch-Datenbank mit Fortschritts-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Serien-Stammdaten Titel/Staffeln/Episoden/Genre/Streaming-Anbieter-Mockup, Fortschritts-Tracking zuletzt geschaute Episode pro Serie, Episoden-Bewertung einzeln möglich, Wartestatus-Kennzeichnung auf neue Staffel wartend, Volltextsuche mit Filtern nach Genre/Status/Anbieter, Sortierbare Ansicht nach Fortschritt/Bewertung/zuletzt-geschaut, Verknüpfung zwischen Serien desselben Universums Spin-offs, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Bingewatching-Statistik Episoden pro Woche (ApexCharts Line), Neue-Staffel-Erinnerung, GSAP Fortschrittsbalken-Animationen - USE CASE: Serienfans mit vielen parallel verfolgten Shows behalten den Überblick welche Episode als nächstes ansteht, die Bingewatching-Statistik macht das eigene Sehverhalten transparent nachvollziehbar.\n\n25. **#625** — erstelle einen Musiksammlung-Katalog physisch und digital - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Album-Stammdaten Interpret/Album/Format-CD-Digital/Erscheinungsjahr/Genre, Track-Liste pro Album mit Lieblingssong-Kennzeichnung, Format-Übersicht physisch vs digital pro Album, Hörhäufigkeits-Tracking-Mockup, Volltextsuche mit Filtern nach Interpret/Genre/Format, Sortierbare Ansicht nach Erscheinungsjahr/Genre/Hörhäufigkeit, Verknüpfung zwischen Alben desselben Interpreten Diskografie, Duplikat-Erkennung gleiches Album mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Genre-und-Jahrzehnt-Verteilung (ApexCharts Treemap), Wunschliste noch fehlende Alben, GSAP Albumcover-Galerie-Animationen - USE CASE: Musiksammler mit gemischt physischer und digitaler Sammlung erhalten eine einheitliche Übersicht ihrer gesamten Diskografie, die Genre-Verteilung zeigt die musikalische Bandbreite der eigenen Sammlung.\n\n26. **#626** — entwickle eine Brettspiel-Sammlung-Datenbank mit Spielverlauf-Log - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brettspiel-Stammdaten Titel/Verlag/Spieleranzahl/Spieldauer/Komplexitätsgrad, Spielverlauf-Log wer hat wann gegen wen gewonnen, Erweiterungs-Verknüpfung Grundspiel und Erweiterungen, Zustands-Dokumentation Vollständigkeit der Spielteile, Volltextsuche mit Filtern nach Spieleranzahl/Dauer/Genre, Sortierbare Ansicht nach Komplexität/Spielanzahl/Bewertung, Verknüpfung zwischen Grundspielen und deren Erweiterungen, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Spielhäufigkeits-und-Gewinnstatistik (ApexCharts Balken), Spieleabend-Vorschlag basierend auf Teilnehmerzahl, GSAP Spielschachtel-Regal-Animationen - USE CASE: Brettspiel-Enthusiasten mit großer Sammlung finden schnell ein passendes Spiel für die aktuelle Gruppengröße, die Gewinnstatistik sorgt für unterhaltsamen Gesprächsstoff an Spieleabenden.\n\n27. **#627** — programmiere eine Comic- und Manga-Sammlung-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Comic-Stammdaten Titel/Ausgabe-Nummer/Verlag/Zeichner/Zustand, Serien-Verknüpfung fortlaufende Ausgaben einer Reihe, Sammelband-Zuordnung Einzelhefte zu Sammelband, Zustandsgrad-Dokumentation mit Fotos, Volltextsuche mit Filtern nach Serie/Verlag/Zustand, Sortierbare Ansicht nach Ausgabe-Nummer/Wert/Zustand, Verknüpfung zwischen Einzelheften und Sammelbänden, Duplikat-Erkennung gleiche Ausgabe mehrfach, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Sammlung, Sammlungslücken-Anzeige fehlende Ausgaben einer Serie, Wertentwicklung seltener Ausgaben (ApexCharts Line), GSAP Comic-Cover-Blätter-Animationen - USE CASE: Comic- und Manga-Sammler behalten bei fortlaufenden Serien den Überblick über fehlende Ausgaben, die Wertentwicklung seltener Erstausgaben unterstützt Kauf- und Verkaufsentscheidungen.\n\n28. **#628** — baue eine Videospiel-Sammlung-Datenbank mit Backlog-Statistik - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Spiel-Stammdaten Titel/Plattform/Genre/Erscheinungsjahr/Vollständigkeit-OVP, Spielstatus durchgespielt/angefangen/ungespielt, Spielzeit-Tracking-Mockup Stunden investiert, Plattform-Zuordnung physisch/digital pro Konsole, Volltextsuche mit Filtern nach Plattform/Genre/Status, Sortierbare Ansicht nach Spielzeit/Bewertung/Erscheinungsjahr, Verknüpfung zwischen Spielen derselben Reihe, Duplikat-Erkennung gleicher Titel mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Backlog-Statistik ungespielte-vs-gespielte-Spiele (ApexCharts Donut), Wertsteigerung seltener Retro-Titel, GSAP Spielregal-Animationen - USE CASE: Gamer mit großem Backlog behalten den Überblick was noch gespielt werden will versus bereits abgeschlossen ist, Sammler von Retro-Spielen dokumentieren Vollständigkeit und Wert physischer Editionen.\n\n29. **#629** — erstelle eine Podcast-Bibliothek-Datenbank mit Hörfortschritt - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Podcast-Stammdaten Titel/Host/Kategorie/Episodenanzahl/Abo-Status, Episoden-Fortschritt gehört/ungehört pro Sendung, Lieblingsepisoden-Kennzeichnung mit Notizen, Veröffentlichungsrhythmus-Tracking wöchentlich/unregelmäßig, Volltextsuche mit Filtern nach Kategorie/Abo-Status/Sprache, Sortierbare Ansicht nach Episodenanzahl/zuletzt-gehört, Verknüpfung zwischen ähnlichen Podcasts derselben Kategorie, Duplikat-Erkennung bei Titel-Übereinstimmung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Bibliothek, Hörzeit-Statistik nach Kategorie (ApexCharts Balken), Neue-Episode-Erinnerung, GSAP Episoden-Liste-Animationen - USE CASE: Podcast-Hörer mit vielen Abonnements behalten den Hörfortschritt über alle Sendungen zentral im Blick, die Hörzeit-Statistik zeigt welche Themengebiete tatsächlich am meisten Zeit beanspruchen.\n\n30. **#630** — entwickle ein Zeitschriften-Abo-Archiv mit Ausgaben-Verwaltung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeitschriften-Stammdaten Titel/Verlag/Erscheinungsrhythmus/Abo-Laufzeit, Ausgaben-Archiv einzelne Hefte mit Erscheinungsdatum, Artikel-Highlights-Notizen pro Ausgabe, Abo-Kosten-Tracking über Zeit, Volltextsuche mit Filtern nach Titel/Kategorie/Jahr, Sortierbare Ansicht nach Erscheinungsdatum/Kategorie, Verknüpfung zwischen Ausgaben und aufbewahrten Artikeln, Duplikat-Erkennung gleiche Ausgabe mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Abo-Kosten-Entwicklung über Jahre (ApexCharts Line), Kündigungs-Erinnerung vor automatischer Verlängerung, GSAP Archiv-Regal-Animationen - USE CASE: Vielleser mehrerer Zeitschriften-Abos behalten Kosten und interessante Artikel über Jahre archiviert, die Kündigungs-Erinnerung verhindert unerwünschte automatische Verlängerungen ungenutzter Abos.\n\n## Kategorie 4: REZEPT- & ERNÄHRUNGSDATENBANKEN (10 Prompts)\n\n31. **#631** — programmiere eine Rezept-Datenbank mit Zutaten-basierter Suche - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten Titel/Zutatenliste/Zubereitungsschritte/Kochzeit/Portionen, Zutaten-basierte-Suche was kann ich mit vorhandenen Zutaten kochen, Kategorisierung nach Küche/Diät/Anlass, Bewertungs-und-Notizfeld nach dem Nachkochen, Volltextsuche mit Filtern nach Zutat/Kategorie/Zubereitungszeit, Sortierbare Ansicht nach Bewertung/Zubereitungszeit/Häufigkeit, Verknüpfung zwischen Rezepten und Zutaten-Datensätzen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Rezeptdatenbank, Meistgekochte-Rezepte-Statistik (ApexCharts Balken), Portionsgrößen-Umrechner, GSAP Rezeptkarten-Flip-Animationen - USE CASE: Hobbyköche mit wachsender Rezeptsammlung finden anhand vorhandener Zutaten sofort passende Gerichte, die Meistgekocht-Statistik zeigt welche Rezepte sich als Familienfavoriten etabliert haben.\n\n32. **#632** — baue eine Essensplanungs-Datenbank verknüpft mit der Rezeptdatenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochenplan-Ansicht Frühstück/Mittag/Abend pro Tag, Verknüpfung jedes Planeintrags zu einem Rezept-Datensatz, Automatische-Einkaufsliste-Generierung aus geplanten Rezepten, Nährwert-Summe pro Tag aus verknüpften Rezepten, Volltextsuche mit Filtern nach Rezepttyp/Diät/Woche, Sortierbare Ansicht nach Datum/Mahlzeittyp, Verknüpfung zwischen Wochenplänen und Vorratsdatenbank, Duplikat-Erkennung doppelte Planung gleicher Slot, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Wochenplan-Abwechslungs-Statistik Rezept-Wiederholungsrate (ApexCharts), Resteverwertungs-Vorschlag, GSAP Wochenplan-Drag-Animationen - USE CASE: Familien planen ihre Mahlzeiten für die ganze Woche im Voraus und sparen durch die automatische Einkaufsliste Zeit im Supermarkt, die Verknüpfung zur Rezeptdatenbank verhindert eintönige Wiederholungen.\n\n33. **#633** — erstelle eine Vorrats-Datenbank mit Ablaufverfolgung gegen Lebensmittelverschwendung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorrats-Stammdaten Artikel/Menge/Lagerort/Mindesthaltbarkeitsdatum, Ablauf-Ampel bald-ablaufend/abgelaufen mit Sortierung, Lagerort-Zuordnung Kühlschrank/Vorratskammer/Gefrierschrank, Verbrauchs-Historie wann wurde Artikel aufgebraucht, Volltextsuche mit Filtern nach Lagerort/Kategorie/Ablaufstatus, Sortierbare Ansicht nach Ablaufdatum/Menge/Lagerort, Verknüpfung zu Rezepten die den Artikel verwenden, Duplikat-Erkennung gleicher Artikel mehrfach erfasst mit Mengen-Zusammenführung, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Einkaufsliste, Backup/Restore gesamter Vorratsbestand, Lebensmittelverschwendungs-Statistik abgelaufene-vs-verbrauchte-Artikel (ApexCharts), Nachkauf-Erinnerung bei Mindestbestand, GSAP Ablauf-Warnungs-Animationen - USE CASE: Haushalte reduzieren Lebensmittelverschwendung durch rechtzeitige Ablauf-Warnungen und Rezeptvorschläge für bald ablaufende Zutaten, die Verschwendungsstatistik motiviert zu bewussterem Einkaufsverhalten.\n\n34. **#634** — entwickle eine Ernährungs-Log-Datenbank mit Makronährstoff-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mahlzeiten-Log-Stammdaten Datum/Mahlzeit/Lebensmittel/Menge/Kalorien, Nährwert-Datenbank verknüpft Kalorien/Protein/Fett/Kohlenhydrate pro Lebensmittel, Tages-und-Wochen-Nährwertbilanz, Zielwert-Vergleich persönliches Kalorienziel, Volltextsuche mit Filtern nach Lebensmittel/Datum/Mahlzeittyp, Sortierbare Ansicht nach Datum/Kalorienmenge, Verknüpfung zwischen Log-Einträgen und Rezeptdatenbank, Duplikat-Erkennung gleicher Eintrag am selben Tag, Datenvalidierung Pflichtfelder und Mengenformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore-Funktion, Nährwert-Trend über Wochen (ApexCharts Line), Makronährstoff-Verteilung (ApexCharts Donut), GSAP Tagesbilanz-Animationen - USE CASE: Ernährungsbewusste Nutzer dokumentieren ihre tägliche Nahrungsaufnahme strukturiert zur Erreichung persönlicher Ziele, der Trend über Wochen zeigt ob die Ernährungsumstellung tatsächlich greift.\n\n35. **#635** — programmiere eine Familienrezepte-Erbe-Datenbank über Generationen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten Titel/Herkunft-Familienmitglied/Generation/Anlass, Geschichten-Feld zur Herkunft und Bedeutung des Rezepts, Foto-Anhang handschriftliche Original-Rezeptkarten, Generationen-Verknüpfung wer hat Rezept an wen weitergegeben, Volltextsuche mit Filtern nach Familienzweig/Generation/Anlass, Sortierbare Ansicht nach Generation/Herkunftsperson, Verknüpfung zwischen Varianten desselben Grundrezepts über Generationen, Duplikat-Erkennung ähnlicher Rezepttitel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Familienkochbuch-Druck, Backup/Restore gesamtes Familienarchiv, Herkunfts-Verteilung nach Familienzweig (ApexCharts Treemap), Familienkochbuch-Export-Vorschau, GSAP Generationenkarten-Animationen - USE CASE: Familien bewahren überlieferte Rezepte samt ihrer Entstehungsgeschichte digital für kommende Generationen, das Familienkochbuch-Export-Feature ermöglicht ein gedrucktes Erbstück zu besonderen Anlässen.\n\n36. **#636** — baue eine Restaurant-Favoriten-Reservierungs-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Restaurant-Stammdaten Name/Küche/Preisklasse/Adresse-Mockup, Besuchs-Historie mit Datum und Anlass, Bewertungs-und-Notizfeld Lieblingsgerichte pro Restaurant, Reservierungs-Tracking-Mockup kommende Reservierungen, Volltextsuche mit Filtern nach Küche/Preisklasse/Bewertung, Sortierbare Ansicht nach Bewertung/letztem-Besuch/Preisklasse, Verknüpfung zwischen Besuchen und begleitenden Personen, Duplikat-Erkennung gleiches Restaurant mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Besuchshäufigkeits-Statistik nach Küche (ApexCharts), Wiederbesuchs-Erinnerung lange nicht besucht, GSAP Restaurant-Karten-Animationen - USE CASE: Genießer mit vielen Lieblingsrestaurants behalten Bewertungen und Lieblingsgerichte übersichtlich fest statt sich auf die Erinnerung zu verlassen, die Wiederbesuchs-Erinnerung bringt vergessene Favoriten zurück ins Bewusstsein.\n\n37. **#637** — erstelle eine Allergen-Diät-Rezeptfilter-Datenbank für Familien - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rezept-Stammdaten mit Allergen-Kennzeichnung Gluten/Laktose/Nüsse/Histamin, Diät-Kompatibilitäts-Tags Vegan/Vegetarisch/Low-Carb/FODMAP, Zutaten-Ersatz-Vorschläge bei Unverträglichkeit, Personen-Profile mit individuellen Unverträglichkeiten verknüpft zu passenden Rezepten, Volltextsuche mit Filtern nach Allergen-Ausschluss/Diät-Typ, Sortierbare Ansicht nach Verträglichkeit/Zubereitungszeit, Verknüpfung zwischen Rezepten und Personenprofilen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder und Allergen-Kennzeichnungs-Pflicht, Import/Export CSV/JSON, Backup/Restore gesamte Datenbank, Verträglichkeits-Abdeckung-Statistik pro Familienmitglied (ApexCharts), Notfall-Zutatenliste-Warnung, GSAP Allergen-Kennzeichnungs-Animationen - USE CASE: Familien mit mehreren unterschiedlichen Lebensmittelunverträglichkeiten finden sicher geeignete Rezepte für alle Mitglieder gleichzeitig, die Notfall-Warnung verhindert versehentliche Verwendung kritischer Allergene.\n\n38. **#638** — entwickle eine Hausgebrautes-Fermentations-Rezeptdatenbank mit Batch-Log - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Braurezept-Stammdaten Bierstil/Zutaten/Gärtemperatur/Reifezeit, Batch-Tracking-Log pro Sud mit Messwerten Stammwürze/Alkoholgehalt, Fermentations-Zeitplan-Erinnerung Umfüll-und-Abfüll-Termine, Geschmacksbewertung-Historie pro Batch, Volltextsuche mit Filtern nach Bierstil/Zutat/Batch-Status, Sortierbare Ansicht nach Reifedatum/Bewertung/Batch-Nummer, Verknüpfung zwischen Rezept-Vorlage und tatsächlichen Batches, Duplikat-Erkennung ähnlicher Rezeptnamen, Datenvalidierung Pflichtfelder und Messwert-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamtes Braulogbuch, Batch-Erfolgsquote-Statistik über Zeit (ApexCharts Line), Zutaten-Vorrats-Verknüpfung, GSAP Gärverlauf-Animationen - USE CASE: Hobbybrauer dokumentieren jeden Sud mit exakten Messwerten für reproduzierbare Ergebnisse, die Erfolgsquoten-Statistik zeigt über die Zeit welche Rezeptanpassungen tatsächlich zu besseren Bieren führen.\n\n39. **#639** — programmiere eine Back-Rezeptdatenbank mit Mengen-Umrechner - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Back-Rezept-Stammdaten Kuchenart/Zutaten/Backzeit/Temperatur, Mengen-Umrechner Portionsgröße und Einheiten Gramm/Cup/Milliliter, Backtest-Historie mit Foto und Erfolgsbewertung, Zutatensubstitutions-Vorschläge bei fehlenden Zutaten, Volltextsuche mit Filtern nach Kuchenart/Anlass/Schwierigkeitsgrad, Sortierbare Ansicht nach Bewertung/Backzeit/Häufigkeit, Verknüpfung zwischen Grundrezepten und Variationen, Duplikat-Erkennung ähnlicher Rezepte, Datenvalidierung Pflichtfelder und Mengenformat, Import/Export CSV/JSON, Backup/Restore gesamte Rezeptdatenbank, Meistgebackene-Rezepte-Statistik nach Anlass (ApexCharts), Anlass-basierte-Vorschläge Geburtstag/Weihnachten, GSAP Backofen-Timer-Animationen - USE CASE: Hobbybäcker mit wachsender Rezeptsammlung rechnen Mengen zuverlässig für unterschiedliche Portionsgrößen um, die Anlass-basierten Vorschläge erleichtern die Auswahl des passenden Kuchens für jeden Termin.\n\n40. **#640** — baue eine Gewürz-und-Kräuter-Inventar-Datenbank verknüpft mit Rezepten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gewürz-Stammdaten Name/Menge/Kaufdatum/Haltbarkeit/Herkunft, Aroma-Profil-Tags scharf/süß/erdig für Kombinationsvorschläge, Nachfüll-Erinnerung bei niedrigem Bestand, Verwendungs-Historie welche Rezepte nutzen welches Gewürz, Volltextsuche mit Filtern nach Kategorie/Haltbarkeitsstatus/Menge, Sortierbare Ansicht nach Haltbarkeit/Verwendungshäufigkeit, Verknüpfung zwischen Gewürzen und Rezeptdatenbank, Duplikat-Erkennung gleiches Gewürz mehrfach mit Mengen-Zusammenführung, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore-Funktion, Verwendungshäufigkeits-Statistik meistgenutzte-Gewürze (ApexCharts), Gewürzmischungs-Rezept-Generator, GSAP Gewürzregal-Animationen - USE CASE: Hobbyköche mit umfangreichem Gewürzregal behalten Frische und Nutzung jedes einzelnen Gewürzes im Blick, die Verwendungsstatistik hilft gezielt neue Rezepte für selten genutzte Gewürze zu finden.\n\n## Kategorie 5: WISSENS- & REFERENZDATENBANKEN (10 Prompts)\n\n41. **#641** — erstelle eine persönliche Wissensdatenbank/Wiki mit Verlinkungs-Graph - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wissenseintrag-Stammdaten Titel/Kategorie/Inhalt/Tags/Quelle, Verlinkung zwischen zusammenhängenden Wiki-Seiten Wikilinks, Versionshistorie bei Bearbeitung von Einträgen, Wissens-Graph-Visualisierung Verknüpfungen zwischen Themen (D3.js Force-Graph), Volltextsuche mit Filtern nach Kategorie/Tag/Erstelldatum, Sortierbare Ansicht nach Zugriffshäufigkeit/Aktualität, Verknüpfung zwischen verwandten Einträgen, Duplikat-Erkennung ähnlicher Themen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export Markdown/CSV/JSON, Backup/Restore gesamtes Wiki, Wissensgebiet-Verteilung nach Kategorie (ApexCharts Treemap), Verwaiste-Seiten-Erkennung ohne Verlinkung, GSAP Graph-Navigations-Animationen - USE CASE: Wissensarbeiter bauen sich ein persönliches vernetztes Nachschlagewerk auf statt verstreuter Notizen in verschiedenen Tools, der Wissens-Graph macht unerwartete Zusammenhänge zwischen eigenen Notizen sichtbar.\n\n42. **#642** — entwickle eine Fachbegriff-Glossar-Datenbank pro Fachgebiet - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Begriff-Stammdaten Terminus/Definition/Fachgebiet/Quelle/Beispielsatz, Fachgebiets-Kategorisierung Medizin/Recht/Technik-konfigurierbar, Synonym-und-Abgrenzungs-Verknüpfung ähnliche Begriffe, Verständnis-Level-Kennzeichnung Grundlagen/Fortgeschritten, Volltextsuche mit Filtern nach Fachgebiet/Anfangsbuchstabe, Sortierbare Ansicht alphabetisch/nach-Fachgebiet, Verknüpfung zwischen verwandten Fachbegriffen, Duplikat-Erkennung ähnlicher Begriffe, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Weitergabe an Kollegen, Backup/Restore gesamtes Glossar, Begriffsverteilung nach Fachgebiet (ApexCharts Balken), Lernkarten-Modus zum Abfragen, GSAP Karteikarten-Umblätter-Animationen - USE CASE: Fachleute und Studierende bauen sich ein eigenes durchsuchbares Fachwörterbuch für ihr Spezialgebiet auf, der Lernkarten-Modus unterstützt aktiv das Einprägen komplexer Terminologie vor Prüfungen.\n\n43. **#643** — programmiere eine Zitat-Sammlung-Datenbank mit Präsentations-Export - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zitat-Stammdaten Text/Autor/Quelle/Kontext/Themengebiet, Themen-Tag-System Motivation/Führung/Kreativität, Persönliche-Bewertung-und-Verwendungszweck-Notiz, Zitat-des-Tages-Anzeige zufällig aus der Sammlung, Volltextsuche mit Filtern nach Autor/Thema/Sprache, Sortierbare Ansicht nach Autor/Hinzufügedatum/Beliebtheit, Verknüpfung zwischen Zitaten desselben Autors oder Themas, Duplikat-Erkennung ähnlicher Zitat-Texte, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Präsentationsvorbereitung, Backup/Restore gesamte Sammlung, Themenverteilung-Statistik (ApexCharts Donut), Präsentations-Export-Vorschau formatierte Zitatkarten, GSAP Zitatkarten-Einblend-Animationen - USE CASE: Redner und Autoren sammeln inspirierende Zitate systematisch für spätere Reden und Texte statt sie beim Bedarf mühsam neu zu suchen, der Präsentations-Export liefert sofort einsatzbereite Folien-Vorlagen.\n\n44. **#644** — baue eine Forschungs-Zitier-Datenbank als Bibliographie-Manager - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Quellen-Stammdaten Autor/Titel/Jahr/Publikationsort/DOI-Mockup, Zitierstil-Generator APA/MLA/Chicago automatisch formatiert, Volltext-Notizen-und-Zitat-Sammlung pro Quelle, Projekt-Zuordnung welche Quellen für welche Arbeit verwendet, Volltextsuche mit Filtern nach Autor/Jahr/Projekt/Publikationstyp, Sortierbare Ansicht nach Jahr/Autor/Zitierhäufigkeit, Verknüpfung zwischen zitierenden und zitierten Quellen, Duplikat-Erkennung gleiche Publikation mehrfach erfasst, Datenvalidierung Pflichtfelder und DOI-Format, Import/Export BibTeX/CSV/JSON, Backup/Restore gesamte Literaturdatenbank, Quellen-Verteilung nach Publikationsjahr (ApexCharts Line), Literaturverzeichnis-Export für Abschlussarbeit, GSAP Quellenkarten-Animationen - USE CASE: Studierende und Forschende verwalten hunderte Quellen für ihre Abschlussarbeit strukturiert statt in unübersichtlichen Word-Dokumenten, der automatische Zitierstil-Generator spart bei jeder Quellenangabe wertvolle Zeit.\n\n45. **#645** — erstelle eine Lernkarten-Notizen-Datenbank je Schulfach mit Spaced-Repetition - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karteikarten-Stammdaten Frage/Antwort/Fach/Schwierigkeitsgrad, Spaced-Repetition-Algorithmus-Mockup Wiederholungsintervalle nach Erfolg, Fach-Kategorisierung mit Unterthemen-Hierarchie, Lernfortschritts-Tracking pro Karte gewusst/nicht-gewusst-Historie, Volltextsuche mit Filtern nach Fach/Schwierigkeit/Lernstatus, Sortierbare Ansicht nach nächster-Wiederholung/Erfolgsquote, Verknüpfung zwischen Karten desselben Themenblocks, Duplikat-Erkennung ähnlicher Fragen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Karten-Austausch, Backup/Restore gesamter Kartensatz, Lernfortschritt-Statistik pro Fach (ApexCharts Radar), Prüfungsmodus zufällige Abfrage, GSAP Karten-Umdreh-Animationen - USE CASE: Schüler und Studierende bereiten sich mit einem selbst erstellten Karteikartensystem effizient auf Prüfungen vor, die Spaced-Repetition-Logik sorgt dafür dass schwierige Karten häufiger wiederholt werden.\n\n46. **#646** — entwickle eine Notfallordner-Dokumentendatenbank für wichtige Verträge - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokument-Stammdaten Kategorie-Versicherung/Verträge/Konten/Testament-Hinweis/Fälligkeit, Verknüpfung zu wichtigen Kontaktpersonen Notar/Bank/Versicherung, Zugriffsberechtigungs-Kennzeichnung wer im Ernstfall Zugriff haben soll, Fälligkeits-Erinnerung für Vertragsverlängerungen, Volltextsuche mit Filtern nach Kategorie/Fälligkeit, Sortierbare Ansicht nach Kategorie/Fälligkeitsdatum, Verknüpfung zwischen Dokumenten und zuständigen Ansprechpartnern, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Notfallordner-Druck, Backup/Restore gesamte Dokumentenübersicht, Vollständigkeits-Check-Dashboard fehlende Kategorien (ApexCharts Gauge), Notfallordner-Druckvorschau, GSAP Dokumentenmappe-Animationen, HINWEIS im Code: reines lokales Ordnungssystem ohne Speicherung sensibler Zugangsdaten selbst - USE CASE: Haushalte legen einen strukturierten Überblick wichtiger Verträge und Zuständigkeiten für den Ernstfall oder Erbfall an, Angehörige finden im Notfall sofort alle relevanten Ansprechpartner statt tagelang suchen zu müssen.\n\n47. **#647** — programmiere eine Vertragsvorlagen-Referenzdatenbank mit Klausel-Bibliothek - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vertragsvorlage-Stammdaten Typ/Verwendungszweck/Rechtsgebiet/letzte-Aktualisierung, Klausel-Bibliothek wiederverwendbare Textbausteine, Versions-Historie pro Vorlage bei Änderungen, Verwendungs-Tracking welche Vorlage wie oft genutzt, Volltextsuche mit Filtern nach Rechtsgebiet/Verwendungszweck, Sortierbare Ansicht nach Aktualität/Nutzungshäufigkeit, Verknüpfung zwischen Vorlagen und verwendeten Klauselbausteinen, Duplikat-Erkennung ähnlicher Vorlagen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Word-Mockup, Backup/Restore gesamte Vorlagenbibliothek, Nutzungsstatistik pro Vorlagentyp (ApexCharts Balken), Aktualisierungs-Erinnerung bei Rechtsänderungen, GSAP Vorlagen-Vorschau-Animationen - USE CASE: Kleinunternehmer und Freelancer greifen auf eine selbst gepflegte Bibliothek geprüfter Vertragsvorlagen zurück statt jedes Mal neu zu formulieren, die Versions-Historie dokumentiert nachvollziehbar welche Klauseln wann angepasst wurden.\n\n48. **#648** — baue eine historische Fakten-Zeitleisten-Referenzdatenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ereignis-Stammdaten Datum/Titel/Beschreibung/Epoche/Region, Interaktive-Zeitleisten-Visualisierung chronologisch (D3.js Timeline), Themen-Verknüpfung zusammenhängende Ereignisse über Epochen, Quellen-Angabe pro Ereignis, Volltextsuche mit Filtern nach Epoche/Region/Thema, Sortierbare Ansicht chronologisch/nach-Region, Verknüpfung zwischen Ursache-und-Folge-Ereignissen, Duplikat-Erkennung ähnlicher Ereignisse, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore gesamte Faktendatenbank, Ereignisdichte nach Epoche (ApexCharts Balken), Vergleichsmodus parallele Ereignisse verschiedener Regionen, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Geschichtsinteressierte und Lehrkräfte bauen sich eine eigene strukturierte Faktensammlung für Unterricht oder Recherche auf, die interaktive Zeitleiste macht historische Zusammenhänge über Regionen hinweg anschaulich sichtbar.\n\n49. **#649** — erstelle eine Code-Snippet-Referenzdatenbank für Entwickler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Snippet-Stammdaten Titel/Programmiersprache/Code/Beschreibung/Anwendungsfall, Syntax-Highlighting pro Sprache, Tag-System Framework/Pattern/Problemtyp, Verwendungs-Historie welches Projekt nutzte welchen Snippet, Volltextsuche mit Filtern nach Sprache/Tag/Projekt, Sortierbare Ansicht nach Sprache/Erstelldatum/Nutzungshäufigkeit, Verknüpfung zwischen verwandten Snippets gleiches Pattern, Duplikat-Erkennung ähnlicher Code-Snippets, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Markdown, Backup/Restore gesamte Snippet-Bibliothek, Snippet-Verteilung nach Sprache (ApexCharts Donut), Schnellkopier-Funktion für Zwischenablage-Mockup, GSAP Code-Block-Einblend-Animationen - USE CASE: Entwickler bauen sich eine persönliche durchsuchbare Sammlung bewährter Code-Lösungen für wiederkehrende Probleme auf statt sie jedes Mal neu zu recherchieren, die Tag-Struktur beschleunigt das Wiederfinden über Projektgrenzen hinweg erheblich.\n\n50. **#650** — entwickle eine Sprachvokabel-Datenbank als persönliches Wörterbuch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vokabel-Stammdaten Wort/Übersetzung/Sprache/Wortart/Beispielsatz, Themen-Kategorisierung Reisen/Business/Alltag, Lernfortschritt-Tracking gelernt/in-Wiederholung/neu, Aussprache-Notiz-Feld phonetisch, Volltextsuche mit Filtern nach Sprache/Thema/Lernstatus, Sortierbare Ansicht nach Lernfortschritt/Thema/Alphabet, Verknüpfung zwischen Vokabeln derselben Wortfamilie, Duplikat-Erkennung gleiches Wort mehrfach erfasst, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Lernkarten-Apps, Backup/Restore gesamtes Vokabelheft, Lernfortschritt-Statistik nach Sprache (ApexCharts Radar), Abfrage-Modus zum Selbsttest, GSAP Vokabelkarten-Animationen - USE CASE: Sprachlerner bauen sich ein persönliches digitales Vokabelheft über mehrere Zielsprachen hinweg auf statt loser Zettel, der Abfrage-Modus unterstützt eigenständiges Wiederholen jenseits einer festen Lern-App.\n\n## Kategorie 6: PROJEKT- & AUFGABEN-DATENBANKEN (10 Prompts)\n\n51. **#651** — programmiere eine Ticket-Issue-Tracker-Datenbank nach Bugtracking-Muster - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ticket-Stammdaten Titel/Beschreibung/Priorität/Status/Zuständigkeit, Status-Workflow Offen/In-Bearbeitung/Review/Geschlossen, Kommentar-Verlauf pro Ticket chronologisch, Verknüpfung zwischen abhängigen Tickets Blocker-Beziehungen, Volltextsuche mit Filtern nach Status/Priorität/Zuständigkeit, Sortierbare Ansicht nach Priorität/Erstelldatum/Fälligkeit, Verknüpfung zu betroffenen Projekten oder Modulen, Duplikat-Erkennung ähnlicher Ticket-Titel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Ticket-Datenbank, Durchlaufzeit-Statistik pro Status (ApexCharts Balken), Burndown-Anzeige offene-vs-geschlossene-Tickets (ApexCharts Line), GSAP Status-Wechsel-Animationen - USE CASE: Kleine Teams verwalten Bugs und Feature-Anfragen strukturiert ohne teures externes Tool, die Durchlaufzeit-Statistik zeigt wo im Workflow Tickets typischerweise stecken bleiben.\n\n52. **#652** — baue eine Freelancer-Kundenprojekt-Datenbank mit Budget-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Projekt-Stammdaten Kunde/Projekttitel/Budget/Deadline/Status, Meilenstein-Verwaltung pro Projekt mit Fälligkeit, Verknüpfung zu Kundendatensätzen aus dem CRM, Rechnungsstatus-Tracking pro Projektphase, Volltextsuche mit Filtern nach Kunde/Status/Deadline, Sortierbare Ansicht nach Deadline/Budget/Status, Verknüpfung zwischen Projekten und Zeiterfassungs-Einträgen, Duplikat-Erkennung ähnlicher Projekttitel, Datenvalidierung Pflichtfelder und Budget-Format, Import/Export CSV/JSON für Steuerberater, Backup/Restore gesamte Projektdatenbank, Auslastungs-und-Umsatz-Dashboard pro Monat (ApexCharts), Deadline-Erinnerung bei nahenden Terminen, GSAP Meilenstein-Fortschritts-Animationen - USE CASE: Freelancer behalten bei mehreren parallelen Kundenprojekten Budget und Fristen jederzeit im Blick, das Auslastungs-Dashboard hilft rechtzeitig zu erkennen wann neue Aufträge angenommen werden können.\n\n53. **#653** — erstelle eine Zeiterfassungs-Datenbank verknüpft mit Projekten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zeiteintrag-Stammdaten Projekt/Aufgabe/Startzeit/Endzeit/Beschreibung, Timer-Funktion Start-Stop für laufende Erfassung, Verknüpfung jedes Eintrags zu einem Projekt-Datensatz, Abrechenbarkeit-Kennzeichnung fakturierbar/intern, Volltextsuche mit Filtern nach Projekt/Zeitraum/Abrechenbarkeit, Sortierbare Ansicht nach Datum/Projekt/Dauer, Verknüpfung zwischen Zeiteinträgen und Rechnungen, Duplikat-Erkennung überlappende Zeiteinträge-Warnung, Datenvalidierung Pflichtfelder und Zeitformat-Plausibilität, Import/Export CSV/JSON für Rechnungsstellung, Backup/Restore gesamte Zeiterfassung, Zeitverteilung nach Projekt (ApexCharts Treemap), Wochenarbeitszeit-Trend (ApexCharts Line), GSAP Timer-Animationen - USE CASE: Freelancer und Berater dokumentieren abrechenbare Stunden präzise pro Projekt für korrekte Kundenrechnungen, die Zeitverteilungs-Statistik deckt auf welche Projekte überproportional viel unbezahlten Aufwand verursachen.\n\n54. **#654** — entwickle eine Equipment-Checkout-Datenbank für gemeinsam genutzte Team-Ressourcen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Equipment-Stammdaten Gerätetyp/Seriennummer/Zustand/Standort, Checkout-Historie wer hat wann welches Gerät ausgeliehen, Verfügbarkeits-Status frei/ausgeliehen/in-Wartung, Reservierungs-Funktion für zukünftigen Bedarf, Volltextsuche mit Filtern nach Gerätetyp/Status/Standort, Sortierbare Ansicht nach Verfügbarkeit/letzter-Nutzung, Verknüpfung zwischen Geräten und ausleihenden Teammitgliedern, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Rückgabedatum-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamte Equipment-Datenbank, Auslastungsstatistik pro Gerät (ApexCharts Balken), Überfällige-Rückgabe-Warnung, GSAP Checkout-Status-Animationen - USE CASE: Teams mit gemeinsam genutzter Ausrüstung wie Kameras oder Laptops behalten jederzeit den Überblick wer was gerade nutzt, die Auslastungsstatistik zeigt ob zusätzliche Geräte angeschafft werden sollten.\n\n55. **#655** — programmiere eine Aufgaben-Datenbank mit Abhängigkeits-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Aufgaben-Stammdaten Titel/Beschreibung/Fälligkeit/Priorität/Status, Abhängigkeits-Verknüpfung Aufgabe-B-kann-erst-nach-Aufgabe-A-starten, Abhängigkeits-Graph-Visualisierung (D3.js), Unteraufgaben-Hierarchie verschachtelte Checklisten, Volltextsuche mit Filtern nach Status/Priorität/Projekt, Sortierbare Ansicht nach Fälligkeit/Priorität/Abhängigkeitsstatus, Verknüpfung zwischen Aufgaben und übergeordneten Projekten, Duplikat-Erkennung ähnlicher Aufgabentitel, Datenvalidierung Pflichtfelder und zirkuläre-Abhängigkeits-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Aufgabendatenbank, Fortschritts-Dashboard offene-vs-erledigte-Aufgaben (ApexCharts Donut), Kritischer-Pfad-Anzeige blockierende Aufgaben zuerst, GSAP Abhängigkeits-Graph-Animationen - USE CASE: Projektteams mit komplexen Aufgabenabhängigkeiten erkennen sofort welche Aufgabe andere blockiert, die zirkuläre-Abhängigkeits-Prüfung verhindert unlösbare Planungsfehler von vornherein.\n\n56. **#656** — baue eine Meeting-Protokoll-Entscheidungs-Log-Datenbank - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Meeting-Stammdaten Titel/Datum/Teilnehmer/Agenda, Protokoll-Text pro Meeting mit Beschluss-Kennzeichnung, Aktionspunkt-Verknüpfung aus Meeting resultierende Aufgaben mit Verantwortlichkeit, Entscheidungs-Historie durchsuchbar über alle Meetings, Volltextsuche mit Filtern nach Teilnehmer/Zeitraum/Thema, Sortierbare Ansicht nach Datum/Anzahl-offener-Aktionspunkte, Verknüpfung zwischen Meetings derselben Projektserie, Duplikat-Erkennung ähnlicher Meeting-Titel, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Markdown, Backup/Restore gesamtes Protokoll-Archiv, Aktionspunkt-Erledigungsquote-Statistik (ApexCharts), Follow-up-Erinnerung offene Aktionspunkte, GSAP Protokoll-Zeitleisten-Animationen - USE CASE: Teams behalten getroffene Entscheidungen und deren Umsetzung über viele Meetings hinweg nachvollziehbar, die Erledigungsquote zeigt ob Aktionspunkte aus Meetings tatsächlich konsequent abgearbeitet werden.\n\n57. **#657** — erstelle eine Bug-Tracking-Datenbank für QA-Teams - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bug-Stammdaten Titel/Schweregrad/Reproduktionsschritte/betroffene-Version, Status-Workflow Gemeldet/Bestätigt/In-Bearbeitung/Verifiziert/Geschlossen, Verknüpfung zu betroffenen Features oder Modulen, Regressions-Kennzeichnung erneut aufgetretener Bug, Volltextsuche mit Filtern nach Schweregrad/Status/Modul, Sortierbare Ansicht nach Schweregrad/Meldedatum/Status, Verknüpfung zwischen ähnlichen oder verwandten Bugs, Duplikat-Erkennung ähnlicher Bug-Beschreibungen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore gesamte Bug-Datenbank, Bug-Trend nach Schweregrad über Releases (ApexCharts Balken), Behebungszeit-Statistik pro Schweregrad, GSAP Status-Ampel-Animationen - USE CASE: QA-Teams dokumentieren gefundene Fehler strukturiert mit reproduzierbaren Schritten für Entwickler, die Behebungszeit-Statistik zeigt ob kritische Bugs tatsächlich priorisiert schneller geschlossen werden.\n\n58. **#658** — entwickle eine Lieferantenvertrag-Datenbank verknüpft mit Projekten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertrags-Stammdaten Lieferant/Vertragsgegenstand/Laufzeit/Konditionen, Verknüpfung zu Projekten die den Vertrag nutzen, Kündigungsfristen-Erinnerung mit Vorlauf, Leistungsbewertung pro Vertragspartner über Zeit, Volltextsuche mit Filtern nach Lieferant/Status/Laufzeit, Sortierbare Ansicht nach Laufzeitende/Vertragswert, Verknüpfung zwischen Verträgen und zugehörigen Rechnungen, Duplikat-Erkennung ähnlicher Verträge, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Rechtsabteilung, Backup/Restore gesamte Vertragsdatenbank, Vertragswert-Verteilung nach Lieferant (ApexCharts Balken), Auto-Verlängerungs-Warnung, GSAP Vertrags-Ablauf-Animationen - USE CASE: Projektteams behalten bei vielen externen Dienstleistern Vertragslaufzeiten und Konditionen zentral im Blick, die Auto-Verlängerungs-Warnung verhindert ungewollte Fortsetzung nicht mehr benötigter Verträge.\n\n59. **#659** — programmiere eine Ehrenamt-Freiwilligen-Management-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Freiwilligen-Stammdaten Name/Fähigkeiten/Verfügbarkeit/Engagement-Bereich, Einsatz-Historie welche Projekte wann unterstützt, Stunden-Tracking geleistete Ehrenamtsstunden, Zertifikats-Generierung-Mockup für Nachweise, Volltextsuche mit Filtern nach Fähigkeit/Verfügbarkeit/Projekt, Sortierbare Ansicht nach Engagement-Stunden/letztem-Einsatz, Verknüpfung zwischen Freiwilligen und Projekten/Veranstaltungen, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Vereinsverwaltung, Backup/Restore gesamte Freiwilligendatenbank, Engagement-Stunden-Statistik nach Projekt (ApexCharts), Dankes-Erinnerung nach abgeschlossenem Einsatz, GSAP Einsatz-Karten-Animationen - USE CASE: Non-Profit-Organisationen koordinieren Freiwillige und deren Verfügbarkeit für verschiedene Projekte effizient, die Stunden-Statistik liefert belastbare Nachweise für Förderanträge und Jahresberichte.\n\n60. **#660** — baue eine Förderantrag-Zuschuss-Tracker-Datenbank für Vereine - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Förderantrag-Stammdaten Fördergeber/Projekttitel/Antragssumme/Status/Frist, Status-Workflow Vorbereitung/Eingereicht/Bewilligt/Abgelehnt, Verknüpfung zu unterstützten Projekten, Dokumenten-Checkliste pro Antrag erforderliche Unterlagen, Volltextsuche mit Filtern nach Fördergeber/Status/Frist, Sortierbare Ansicht nach Frist/Antragssumme/Status, Verknüpfung zwischen Anträgen und Verwendungsnachweisen, Duplikat-Erkennung ähnlicher Anträge, Datenvalidierung Pflichtfelder und Fristformat, Import/Export CSV/JSON, Backup/Restore gesamte Antragsdatenbank, Erfolgsquote-Statistik nach Fördergeber (ApexCharts), Fristablauf-Erinnerung, GSAP Status-Fortschritts-Animationen - USE CASE: Non-Profit-Organisationen und Vereine behalten bei mehreren parallelen Förderanträgen Fristen und Status im Blick, die Erfolgsquoten-Statistik zeigt welche Fördergeber sich für künftige Anträge besonders lohnen.\n\n## Kategorie 7: ASSET- & IT-INVENTAR-MANAGEMENT (10 Prompts)\n\n61. **#661** — erstelle eine Unternehmens-IT-Asset-Datenbank für Laptops und Lizenzen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Asset-Stammdaten Gerätetyp/Seriennummer/Zuweisung-Mitarbeiter/Kaufdatum/Garantie-Ablauf, Zuweisungs-Historie welcher Mitarbeiter hatte welches Gerät wann, Lizenz-Verknüpfung installierte Software pro Gerät, Wartungs-und-Reparatur-Log pro Asset, Volltextsuche mit Filtern nach Gerätetyp/Status/Abteilung, Sortierbare Ansicht nach Garantie-Ablauf/Zuweisung/Alter, Verknüpfung zwischen Geräten und zugewiesenen Mitarbeitern, Duplikat-Erkennung bei Seriennummer, Datenvalidierung Pflichtfelder und Seriennummer-Format, Import/Export CSV/JSON für Inventur, Backup/Restore gesamte IT-Asset-Datenbank, Geräteverteilung nach Abteilung und Alter (ApexCharts Treemap), Garantie-Ablauf-Warnung, GSAP Geräte-Zuweisungs-Animationen - USE CASE: IT-Abteilungen behalten bei hunderten Laptops und Geräten Zuweisung und Garantiestatus zentral im Blick, die Garantie-Warnung verhindert kostspielige Reparaturen kurz nach Garantieablauf unbemerkt zu übersehen.\n\n62. **#662** — entwickle eine Software-Lizenz-Tracker-Datenbank für Compliance-Audits - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lizenz-Stammdaten Software/Lizenztyp/Anzahl-Sitze/Ablaufdatum/Kosten, Zuweisungs-Tracking welcher Nutzer belegt welchen Sitzplatz, Nutzungsauslastung-Anzeige belegte-vs-verfügbare-Lizenzen, Verlängerungs-Erinnerung mit Vorlaufzeit, Volltextsuche mit Filtern nach Software/Ablaufstatus/Abteilung, Sortierbare Ansicht nach Ablaufdatum/Auslastung/Kosten, Verknüpfung zwischen Lizenzen und IT-Asset-Datenbank, Duplikat-Erkennung gleiche Lizenz mehrfach erfasst, Datenvalidierung Pflichtfelder und Kostenformat, Import/Export CSV/JSON für Einkauf, Backup/Restore gesamte Lizenzdatenbank, Lizenzkosten-Entwicklung über Zeit (ApexCharts Line), Unnötige-Lizenz-Erkennung wenig genutzte Sitze, GSAP Auslastungs-Balken-Animationen - USE CASE: Unternehmen vermeiden durch systematisches Lizenz-Tracking teure Compliance-Verstöße bei Software-Audits, die Unnötige-Lizenz-Erkennung deckt ungenutzte Sitzplätze auf und spart wiederkehrende Kosten.\n\n63. **#663** — programmiere eine Fahrzeugflotten-Datenbank mit Wartungs-Log - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Fahrzeug-Stammdaten Kennzeichen/Modell/Baujahr/Kilometerstand/nächster-TÜV, Fahrer-Zuweisungs-Historie wer fuhr wann welches Fahrzeug, Wartungs-und-Reparatur-Log pro Fahrzeug mit Kosten, Standort-Karte aktuelle-Fahrzeugpositionen-Mockup (Leaflet), Volltextsuche mit Filtern nach Modell/Status/Fahrer, Sortierbare Ansicht nach TÜV-Fälligkeit/Kilometerstand/Wartungsstatus, Verknüpfung zwischen Fahrzeugen und Fahrer-Datensätzen, Duplikat-Erkennung bei Kennzeichen, Datenvalidierung Pflichtfelder und Kennzeichen-Format, Import/Export CSV/JSON für Flottenversicherung, Backup/Restore gesamte Flottendatenbank, Betriebskosten-Statistik pro Fahrzeug (ApexCharts Balken), TÜV-und-Wartungs-Fälligkeits-Warnung, GSAP Flottenkarten-Animationen - USE CASE: Unternehmen mit eigenem Fuhrpark behalten Wartungstermine und Kosten pro Fahrzeug systematisch im Blick, die Fälligkeits-Warnung verhindert dass Fahrzeuge ohne gültigen TÜV im Einsatz sind.\n\n64. **#664** — baue eine Raum-Ressourcen-Buchungsdatenbank mit Konflikt-Erkennung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Raum-Stammdaten Name/Kapazität/Ausstattung/Standort, Buchungs-Kalender pro Raum mit Zeitfenstern, Konflikt-Erkennung bei Doppelbuchung, Ausstattungs-Filter Beamer/Videokonferenz/Whiteboard, Volltextsuche mit Filtern nach Kapazität/Ausstattung/Verfügbarkeit, Sortierbare Ansicht nach Auslastung/Kapazität/Standort, Verknüpfung zwischen Buchungen und Mitarbeiter-/Team-Datensätzen, Duplikat-Erkennung überlappender Buchungen, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON/Kalenderformat, Backup/Restore gesamte Buchungsdatenbank, Raumauslastungs-Statistik pro Standort (ApexCharts Heatmap), No-Show-Erkennung nicht genutzte Buchungen, GSAP Kalender-Buchungs-Animationen - USE CASE: Unternehmen mit mehreren Besprechungsräumen vermeiden Doppelbuchungen durch automatische Konflikterkennung, die Auslastungsstatistik zeigt ob zusätzliche Räume benötigt oder ungenutzte Kapazitäten reduziert werden können.\n\n65. **#665** — erstelle eine Server-Netzwerk-Inventar-Datenbank mit Topologie-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Server-Stammdaten Hostname/IP-Adresse/Standort-Rack/Betriebssystem/Rolle, Netzwerktopologie-Visualisierung Verbindungen zwischen Servern (D3.js Netzwerkgraph), Wartungsfenster-Planung pro Server, Patch-Status-Tracking letztes-Update-pro-System, Volltextsuche mit Filtern nach Rolle/Standort/Patch-Status, Sortierbare Ansicht nach Patch-Alter/Standort/Rolle, Verknüpfung zwischen Servern und abhängigen Diensten, Duplikat-Erkennung bei IP-Adress-Konflikt, Datenvalidierung Pflichtfelder und IP-Format-Prüfung, Import/Export CSV/JSON für Netzwerkdokumentation, Backup/Restore gesamtes Inventar, Patch-Compliance-Dashboard (ApexCharts Gauge), Veraltete-Systeme-Warnung, GSAP Netzwerktopologie-Animationen - USE CASE: IT-Abteilungen dokumentieren ihre Serverlandschaft strukturiert für Audits und Notfallpläne, die Patch-Compliance-Anzeige deckt sofort auf welche Systeme dringend aktualisiert werden müssen.\n\n66. **#666** — entwickle eine Firmenhandy-Mobile-Device-Datenbank mit Vertragskosten-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gerät-Stammdaten IMEI/Modell/Zuweisung-Mitarbeiter/Vertragslaufzeit, Zuweisungs-Historie Gerätewechsel-Nachverfolgung, Vertragskosten-Tracking pro Gerät und Tarif, Verlust-und-Diebstahl-Meldung-Workflow-Mockup, Volltextsuche mit Filtern nach Modell/Status/Abteilung, Sortierbare Ansicht nach Vertragsende/Kosten/Zuweisung, Verknüpfung zwischen Geräten und Mitarbeiter-Datensätzen, Duplikat-Erkennung bei IMEI, Datenvalidierung Pflichtfelder und IMEI-Format, Import/Export CSV/JSON, Backup/Restore gesamte Gerätedatenbank, Kostenverteilung nach Abteilung (ApexCharts Treemap), Vertragsverlängerungs-Erinnerung, GSAP Geräte-Zuweisungs-Animationen - USE CASE: Unternehmen mit vielen Firmenhandys behalten Vertragskosten und Zuweisungen abteilungsübergreifend im Blick, die Kostenverteilung erleichtert die interne Verrechnung an die jeweiligen Kostenstellen.\n\n67. **#667** — programmiere eine Peripheriegeräte-Zubehör-Inventar-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zubehör-Stammdaten Gerätetyp-Monitor-Tastatur-Headset/Zuweisung/Zustand/Kaufdatum, Ausleih-und-Rückgabe-Tracking bei Pool-Geräten, Zustandsdokumentation mit Fotos bei Rückgabe, Ersatzbeschaffungs-Bedarf-Liste bei Defekten, Volltextsuche mit Filtern nach Gerätetyp/Status/Zuweisung, Sortierbare Ansicht nach Zustand/Kaufdatum/Zuweisung, Verknüpfung zwischen Zubehör und Hauptgeräten der IT-Asset-Datenbank, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON, Backup/Restore-Funktion, Bestandsstatistik nach Gerätetyp und Zustand (ApexCharts Balken), Nachbestellungs-Schwellenwert-Warnung, GSAP Lager-Bestands-Animationen - USE CASE: IT-Abteilungen behalten bei umfangreichem Zubehörlager wie Monitoren und Headsets den Überblick über Verfügbarkeit und Zustand, die Nachbestellungs-Warnung verhindert Engpässe bei Neueinstellungen.\n\n68. **#668** — baue eine Domain-und-SSL-Zertifikat-Tracker-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Domain-Stammdaten Domainname/Registrar/Ablaufdatum/verantwortliches-Team, SSL-Zertifikat-Verknüpfung pro Domain mit Ablaufdatum, Auto-Renewal-Status-Kennzeichnung aktiviert/manuell, DNS-Konfigurations-Notizen pro Domain, Volltextsuche mit Filtern nach Registrar/Ablaufstatus/Team, Sortierbare Ansicht nach Ablaufdatum/Domain/Zuständigkeit, Verknüpfung zwischen Domains und zugehörigen Zertifikaten, Duplikat-Erkennung bei Domainname, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON, Backup/Restore gesamte Domain-Datenbank, Ablaufübersicht-Dashboard kommende-30-60-90-Tage (ApexCharts Gauge), Kritische-Ablauf-Warnung rot-markiert, GSAP Ablauf-Countdown-Animationen - USE CASE: Unternehmen mit vielen Domains und Zertifikaten vermeiden peinliche Ausfälle durch abgelaufene SSL-Zertifikate, die 30-60-90-Tage-Übersicht schafft rechtzeitigen Vorlauf für Verlängerungen.\n\n69. **#669** — erstelle eine Cloud-SaaS-Abo-Tracker-Datenbank für Kostenkontrolle - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: SaaS-Tool-Stammdaten Name/Anbieter/Plan/Kosten-pro-Nutzer/Vertragslaufzeit, Nutzer-Zuweisung pro Tool mit Aktiv-Status, Kostenverteilung nach Abteilung und Tool, Kündigungsfristen-Erinnerung vor automatischer Verlängerung, Volltextsuche mit Filtern nach Anbieter/Abteilung/Ablaufstatus, Sortierbare Ansicht nach Kosten/Nutzeranzahl/Ablaufdatum, Verknüpfung zwischen Tools und zugewiesenen Mitarbeitern, Duplikat-Erkennung ähnlicher Tool-Namen redundante-Anschaffungen, Datenvalidierung Pflichtfelder und Kostenformat, Import/Export CSV/JSON für Controlling, Backup/Restore gesamte SaaS-Datenbank, Gesamtkosten-Entwicklung über Zeit (ApexCharts Line), Ungenutzte-Lizenzen-Erkennung, GSAP Kosten-Dashboard-Animationen - USE CASE: Unternehmen mit wachsender SaaS-Tool-Landschaft behalten die Kostenkontrolle über alle Abonnements zentral, die Erkennung redundanter Anschaffungen deckt doppelt bezahlte ähnliche Tools zwischen Abteilungen auf.\n\n70. **#670** — entwickle eine Zutrittskontroll-Schlüssel-Asset-Datenbank für Facility-Management - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schlüssel-Zugangskarten-Stammdaten Typ/Bereich/Ausgabe-an/Ausgabedatum, Rückgabe-Tracking bei Mitarbeiteraustritt mit Status offen/zurückgegeben, Bereichs-Zuordnung welcher Schlüssel öffnet welche Räume, Verlustmeldungs-Workflow mit Sperr-Status, Volltextsuche mit Filtern nach Bereich/Status/Mitarbeiter, Sortierbare Ansicht nach Ausgabedatum/Status/Bereich, Verknüpfung zwischen Schlüsseln und Mitarbeiter-Datensätzen, Duplikat-Erkennung bei Schlüsselnummer, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Sicherheitsaudit, Backup/Restore gesamte Zutrittsdatenbank, Offene-Rückgaben-Statistik nach Abteilung (ApexCharts), Austritts-Checklisten-Verknüpfung, GSAP Zutrittsstatus-Animationen - USE CASE: Facility-Management behält bei physischen Zutrittsmitteln den Überblick wer wohin Zugang hat, die Austritts-Checklisten-Verknüpfung stellt sicher dass ausscheidende Mitarbeiter lückenlos alle Schlüssel zurückgeben.\n\n## Kategorie 8: EVENT- & BUCHUNGSDATENBANKEN (10 Prompts)\n\n71. **#671** — programmiere eine Terminbuchungs-Datenbank für Kleinunternehmen wie Friseursalons - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Termin-Stammdaten Kunde/Dienstleistung/Datum-Uhrzeit/Mitarbeiter, Verfügbarkeits-Kalender pro Mitarbeiter mit Zeitslots, Konflikt-Erkennung bei Doppelbuchung, Erinnerungs-Funktion vor Termin an Kunden-Mockup, Volltextsuche mit Filtern nach Kunde/Dienstleistung/Mitarbeiter, Sortierbare Ansicht nach Datum/Mitarbeiter/Status, Verknüpfung zwischen Terminen und Kundendatensätzen, Duplikat-Erkennung überlappender Termine, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON/Kalenderformat, Backup/Restore gesamte Termindatenbank, Auslastungsstatistik pro Mitarbeiter und Wochentag (ApexCharts Heatmap), No-Show-Rate-Tracking, GSAP Kalender-Buchungs-Animationen - USE CASE: Friseursalons und Praxen mit mehreren Mitarbeitern verwalten Terminbuchungen zentral ohne Doppelbuchungen, die Auslastungsstatistik zeigt welche Wochentage zusätzliches Personal benötigen.\n\n72. **#672** — baue eine Event-Gästeliste-Datenbank mit RSVP-Tracking - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gast-Stammdaten Name/Kategorie/Begleitung/Ernährungshinweise, RSVP-Status-Tracking zugesagt/abgesagt/ausstehend, Tischplanungs-Zuordnung pro Gast, Einladungsversand-Historie-Mockup, Volltextsuche mit Filtern nach RSVP-Status/Kategorie/Tisch, Sortierbare Ansicht nach Nachname/RSVP-Status/Tisch, Verknüpfung zwischen Gästen und Begleitpersonen, Duplikat-Erkennung ähnlicher Namen, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Caterer, Backup/Restore gesamte Gästeliste, RSVP-Rücklaufquote-Statistik (ApexCharts Donut), Erinnerungs-Funktion bei ausstehender Antwort, GSAP Gästeliste-Update-Animationen - USE CASE: Veranstalter größerer Feiern wie Hochzeiten behalten Zusagen und Ernährungshinweise aller Gäste übersichtlich im Blick, die Rücklaufquote hilft rechtzeitig bei ausstehenden Antworten nachzufassen.\n\n73. **#673** — erstelle eine Veranstaltungsort-Raumreservierungs-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Veranstaltungsort-Stammdaten Name/Kapazität/Ausstattung/Mietpreis, Reservierungs-Kalender mit Zeitfenstern und Buchendem, Konflikt-Erkennung bei Doppelbuchung, Anzahlungs-und-Vertragsstatus-Tracking pro Reservierung, Volltextsuche mit Filtern nach Kapazität/Verfügbarkeit/Ausstattung, Sortierbare Ansicht nach Datum/Auslastung/Mietpreis, Verknüpfung zwischen Reservierungen und Kunden-/Veranstalter-Datensätzen, Duplikat-Erkennung überlappender Reservierungen, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamte Reservierungsdatenbank, Auslastungsstatistik nach Saison und Wochentag (ApexCharts Heatmap), Stornierungsquote-Tracking, GSAP Belegungskalender-Animationen - USE CASE: Betreiber von Veranstaltungsräumen vermeiden Doppelbuchungen durch systematische Kalenderverwaltung, die Saisonauslastung hilft bei der Preisgestaltung für Nebensaison-Rabatte.\n\n74. **#674** — entwickle eine Kurs-und-Workshop-Anmeldungs-Datenbank mit Warteliste - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurs-Stammdaten Titel/Termin/Kursleiter/max-Teilnehmerzahl, Teilnehmer-Anmeldungs-Liste pro Kurs mit Warteliste bei Überbuchung, Bezahlstatus-Tracking pro Teilnehmer, Anwesenheits-Tracking pro Kurstermin, Volltextsuche mit Filtern nach Kurs/Status/Bezahlstatus, Sortierbare Ansicht nach Anmeldedatum/Kurs/Auslastung, Verknüpfung zwischen Teilnehmern und mehreren gebuchten Kursen, Duplikat-Erkennung Mehrfachanmeldung derselben Person, Datenvalidierung Pflichtfelder und Kapazitätsprüfung vor Anmeldung, Import/Export CSV/JSON für Teilnehmerlisten, Backup/Restore gesamte Kursdatenbank, Auslastungsstatistik pro Kurs (ApexCharts Balken), Warteliste-Nachrück-Benachrichtigung, GSAP Anmeldeformular-Animationen - USE CASE: Volkshochschulen und private Kursanbieter verwalten Anmeldungen und Wartelisten für begrenzte Kursplätze effizient, die Auslastungsstatistik zeigt welche Kursthemen besonders gefragt sind für die Programmplanung.\n\n75. **#675** — programmiere eine Hochzeitsplanung-Dienstleister-und-Gäste-Datenbank - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dienstleister-Stammdaten Kategorie-Catering-Fotograf-Location/Kontakt/Vertragsstatus/Budget, Gäste-Verknüpfung separate Gästeliste mit RSVP-Status, Budget-Tracking geplant-vs-tatsächlich pro Kategorie, Zeitplan-Checkliste Aufgaben bis zur Hochzeit mit Fälligkeit, Volltextsuche mit Filtern nach Kategorie/Status/Budget, Sortierbare Ansicht nach Fälligkeit/Budget/Status, Verknüpfung zwischen Dienstleistern und Vertragsdokumenten, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder und Budgetformat, Import/Export CSV/JSON, Backup/Restore gesamte Planungsdatenbank, Budget-Verteilung nach Kategorie (ApexCharts Treemap), Countdown-Fälligkeits-Warnung offener Aufgaben, GSAP Checklisten-Fortschritts-Animationen - USE CASE: Brautpaare behalten bei der Hochzeitsplanung Dutzende Dienstleister und Budget-Posten gleichzeitig im Blick, die Budget-Verteilung zeigt frühzeitig ob einzelne Kategorien den Rahmen sprengen.\n\n76. **#676** — baue eine Konferenz-Sprecher-und-Sessions-Datenbank ohne Zeitkonflikte - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprecher-Stammdaten Name/Thema/Biografie/Kontakt/Vertragsstatus, Session-Stammdaten Titel/Zeitslot/Raum/Track-Zuordnung, Verknüpfung zwischen Sprechern und ihren Sessions, Konflikt-Erkennung bei Zeitslot-Überschneidung im selben Raum, Volltextsuche mit Filtern nach Track/Sprecher/Zeitslot, Sortierbare Ansicht nach Zeitslot/Track/Raum, Verknüpfung zwischen Sessions und Teilnehmer-Anmeldungen, Duplikat-Erkennung ähnlicher Session-Titel, Datenvalidierung Pflichtfelder und Zeitfenster-Plausibilität, Import/Export CSV/JSON für Programmheft-Druck, Backup/Restore gesamtes Konferenzprogramm, Track-Auslastungsstatistik nach Beliebtheit (ApexCharts Balken), Sprecher-Bestätigungsstatus-Übersicht, GSAP Programmplan-Animationen - USE CASE: Konferenzveranstalter koordinieren Dutzende Sprecher und parallele Sessions ohne Raum- oder Zeitkonflikte, die Track-Auslastungsstatistik unterstützt die Planung künftiger Konferenzen nach Teilnehmerinteresse.\n\n77. **#677** — erstelle eine Sportliga-Turnier-Terminplanungs-Datenbank mit Tabellenberechnung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Team-Stammdaten Name/Liga/Kontaktperson/Spielstärke, Spielplan-Generierung mit Terminen und Austragungsort, Ergebnis-Erfassung pro Spiel mit Tabellenberechnung, Schiedsrichter-Zuweisung pro Spiel, Volltextsuche mit Filtern nach Liga/Team/Spieltag, Sortierbare Ansicht nach Spieltag/Tabellenplatz/Team, Verknüpfung zwischen Spielen und beteiligten Teams, Duplikat-Erkennung überlappender Spielansetzungen am selben Ort, Datenvalidierung Pflichtfelder und Terminüberschneidungs-Prüfung, Import/Export CSV/JSON für Liga-Verband, Backup/Restore gesamte Turnierdatenbank, Tabellen-und-Formstatistik pro Team (ApexCharts Balken), Spielausfall-Nachhol-Terminvorschlag, GSAP Tabellen-Update-Animationen - USE CASE: Amateur-Sportligen organisieren Spielpläne und Tabellen für mehrere Teams strukturiert ohne Terminüberschneidungen, die Formstatistik liefert Vereinen und Fans spannende Einblicke in die Saisonentwicklung.\n\n78. **#678** — entwickle eine Vereinshaus-Aktivitätsbuchungs-Datenbank für Gemeindezentren - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aktivitäts-Stammdaten Kursname/Zeitfenster/Betreuer/max-Teilnehmer, Mitglieder-Buchungs-Tracking wer nimmt an welcher Aktivität teil, Raumzuordnung pro Aktivität mit Konflikt-Erkennung, Beitrags-Status-Verknüpfung Mitgliedschaft aktiv-vorausgesetzt, Volltextsuche mit Filtern nach Aktivität/Zeitfenster/Verfügbarkeit, Sortierbare Ansicht nach Auslastung/Zeitfenster/Beliebtheit, Verknüpfung zwischen Aktivitäten und Mitglieder-Datensätzen, Duplikat-Erkennung Mehrfachbuchung, Datenvalidierung Pflichtfelder und Kapazitätsprüfung, Import/Export CSV/JSON, Backup/Restore gesamte Aktivitätsdatenbank, Teilnahmestatistik pro Aktivität und Monat (ApexCharts), Warteliste-Nachrück-Funktion, GSAP Belegungsplan-Animationen - USE CASE: Gemeindezentren und Vereine mit vielfältigem Kursangebot verwalten Teilnehmerbuchungen und Raumbelegung zentral, die Teilnahmestatistik zeigt welche Angebote ausgebaut oder eingestellt werden sollten.\n\n79. **#679** — programmiere eine Verleih-Equipment-Buchungs-Datenbank für Partyverleih - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Verleihartikel-Stammdaten Artikel-Partyzelt-Tische-Stühle/Menge/Zustand, Buchungs-Kalender pro Artikel mit Verfügbarkeitsprüfung, Kunden-Verknüpfung wer hat wann was gebucht, Kaution-und-Zustandsprotokoll bei Rückgabe, Volltextsuche mit Filtern nach Artikel/Zeitraum/Verfügbarkeit, Sortierbare Ansicht nach Buchungsdatum/Artikel/Kunde, Verknüpfung zwischen Buchungen und Kundendatensätzen, Duplikat-Erkennung überbuchter Artikel im selben Zeitraum, Datenvalidierung Pflichtfelder und Verfügbarkeitsprüfung vor Bestätigung, Import/Export CSV/JSON für Rechnungsstellung, Backup/Restore gesamte Verleihdatenbank, Auslastungsstatistik pro Artikel und Saison (ApexCharts Heatmap), Beschädigungs-Historie pro Artikel, GSAP Verfügbarkeitskalender-Animationen - USE CASE: Partyverleih-Betriebe vermeiden durch die Verfügbarkeitsprüfung Doppelbuchungen begrenzter Ausrüstung wie Zelte, die Saisonauslastung unterstützt die Investitionsentscheidung für zusätzliche Bestände vor der Hochsaison.\n\n80. **#680** — baue eine Ehrenamtliche-Schichtplanungs-Datenbank für Events und Festivals - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schicht-Stammdaten Event/Zeitfenster/benötigte-Rolle/Anzahl-Helfer, Freiwilligen-Zuweisung pro Schicht mit Verfügbarkeitsabgleich, Rollen-Qualifikation-Kennzeichnung Ersthelfer/Kassierer/Aufbau, Erinnerungs-Funktion vor zugewiesener Schicht, Volltextsuche mit Filtern nach Event/Rolle/Verfügbarkeit, Sortierbare Ansicht nach Zeitfenster/Besetzungsgrad, Verknüpfung zwischen Schichten und Freiwilligen-Datensätzen, Duplikat-Erkennung überlappender Schichtzuweisungen derselben Person, Datenvalidierung Pflichtfelder und Zeitüberschneidungs-Prüfung, Import/Export CSV/JSON, Backup/Restore gesamte Schichtplanung, Besetzungsgrad-Dashboard pro Event (ApexCharts Gauge), Unterbesetzte-Schichten-Warnung, GSAP Schichtplan-Animationen - USE CASE: Vereine und Festivalorganisatoren koordinieren Dutzende freiwillige Helfer über mehrere Schichten hinweg konfliktfrei, die Unterbesetzt-Warnung ermöglicht rechtzeitiges Nachrekrutieren vor kritischen Lücken im Ablauf.\n\n## Kategorie 9: GESUNDHEITS- & FITNESS-DATENBANKEN (10 Prompts)\n\n81. **#681** — erstelle eine persönliche Gesundheitsakte-Datenbank für Medikamente und Termine - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gesundheits-Stammdaten Medikamente/Allergien/Vorerkrankungen/Arzttermine, Medikationsplan mit Dosierung und Einnahmezeit, Arzttermin-Historie mit Befund-Notizen, Impfstatus-Übersicht mit Auffrischungs-Erinnerung, Volltextsuche mit Filtern nach Kategorie/Zeitraum/Arzt, Sortierbare Ansicht nach Termin/Medikament/Wichtigkeit, Verknüpfung zwischen Diagnosen und verordneten Medikamenten, Duplikat-Erkennung bei Medikamenteneingabe, Datenvalidierung Pflichtfelder und Dosierungsformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamte Gesundheitsakte verschlüsselt-Mockup, Medikamenten-Übersicht-Dashboard aktueller-Plan (ApexCharts), Notfall-Kurzübersicht Allergien-und-Blutgruppe, GSAP Termin-Erinnerungs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Daten verbleiben ausschließlich lokal im Browser via IndexedDB, keine Server-Übertragung - USE CASE: Patienten mit mehreren Erkrankungen und Medikamenten behalten den Überblick für den nächsten Arztbesuch, die Notfall-Kurzübersicht kann im Ernstfall entscheidende Informationen schnell verfügbar machen. WICHTIG: Demo-Anwendung ausschließlich zur lokalen Selbstorganisation, keine Übertragung sensibler Gesundheitsdaten auf einen Server, ersetzt keine ärztliche Dokumentation.\n\n82. **#682** — entwickle eine Fitness-Log-Datenbank für Workouts und Körpermaße - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Trainings-Stammdaten Datum/Übung/Sätze/Wiederholungen/Gewicht, Körpermaße-Tracking Gewicht/Umfänge über Zeit, Trainingsplan-Verknüpfung Übungen einem Plan zugeordnet, Persönliche-Bestleistungen-Tracking pro Übung, Volltextsuche mit Filtern nach Übung/Zeitraum/Trainingsplan, Sortierbare Ansicht nach Datum/Übung/Fortschritt, Verknüpfung zwischen Trainingseinheiten und Trainingsplänen, Duplikat-Erkennung doppelter Einträge am selben Tag, Datenvalidierung Pflichtfelder und Gewichtsformat, Import/Export CSV/JSON, Backup/Restore gesamtes Trainingslog, Kraftzuwachs-Trend pro Übung (ApexCharts Line), Körpermaße-Entwicklung (ApexCharts), GSAP Fortschritts-Balken-Animationen - USE CASE: Fitness-Enthusiasten dokumentieren Trainingsfortschritt und Körpermaße über Monate hinweg strukturiert, die Bestleistungs-Anzeige motiviert zum kontinuierlichen Überbieten der eigenen Rekorde.\n\n83. **#683** — programmiere eine Haustier-Gesundheitsakte-Datenbank mit Impfhistorie - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Haustier-Stammdaten Name/Rasse/Geburtsdatum/Gewicht, Impf-und-Behandlungshistorie mit Tierarzt-Terminen, Medikationsplan bei chronischen Erkrankungen, Gewichtsverlauf-Tracking über Zeit, Volltextsuche mit Filtern nach Behandlungsart/Zeitraum/Tierarzt, Sortierbare Ansicht nach Termin/Behandlung/Haustier, Verknüpfung zwischen mehreren Haustieren desselben Haushalts, Duplikat-Erkennung bei Terminanlage, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Tierarztwechsel, Backup/Restore gesamte Haustier-Gesundheitsdatenbank, Gewichtsentwicklung pro Haustier (ApexCharts Line), Impf-Auffrischungs-Erinnerung, GSAP Terminplan-Animationen, PRIVATSPHÄRE-HINWEIS im Code: Daten verbleiben lokal im Browser, keine Übertragung an Dritte oder Tierarztpraxen ohne expliziten manuellen Export - USE CASE: Haustierbesitzer mit mehreren Tieren oder chronisch kranken Haustieren behalten Impf-und Behandlungstermine lückenlos im Blick, der Export erleichtert den reibungslosen Wechsel zu einer neuen Tierarztpraxis. WICHTIG: lokal gespeicherte Demo-Anwendung, kein Ersatz für tierärztliche Dokumentation.\n\n84. **#684** — baue eine Symptom-Tracking-Datenbank für chronisches Krankheitsmanagement - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Symptom-Log-Stammdaten Datum/Symptom/Intensität/Auslöser-Vermutung, Trigger-Korrelations-Analyse mögliche Zusammenhänge Ernährung/Wetter/Stress (D3.js), Medikamenteneinnahme-Verknüpfung mit Symptomverlauf, Verlaufsbericht-Export für Arztbesuche, Volltextsuche mit Filtern nach Symptom/Intensität/Zeitraum, Sortierbare Ansicht nach Datum/Intensität/Symptomtyp, Verknüpfung zwischen Symptomen und vermuteten Auslösern, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Intensitätsskala-Format, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamtes Symptomtagebuch verschlüsselt-Mockup, Symptomhäufigkeits-Trend über Monate (ApexCharts Line), Gute-und-schlechte-Tage-Kalenderübersicht, GSAP Trend-Animationen, PRIVATSPHÄRE-HINWEIS im Code: hochsensible Gesundheitsdaten verbleiben ausschließlich lokal im Browser, keine Cloud-Synchronisation in dieser Demo-Version - USE CASE: Menschen mit chronischen Erkrankungen wie Migräne oder Reizdarm erkennen durch systematisches Tracking wiederkehrende Auslösemuster, der Verlaufsbericht liefert dem behandelnden Arzt objektive Daten statt subjektiver Erinnerung. WICHTIG: dient der persönlichen Mustererkennung, ersetzt keine ärztliche Diagnose.\n\n85. **#685** — erstelle eine Medikamenten-Einnahme-Adhärenz-Datenbank mit Erinnerungsfunktion - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Medikamenten-Stammdaten Name/Dosierung/Einnahmezeitpunkt/verordnender-Arzt, Einnahme-Bestätigungs-Log genommen/vergessen pro Zeitpunkt, Wechselwirkungs-Hinweis-Mockup bei mehreren gleichzeitigen Medikamenten, Nachfüll-Erinnerung bei sinkendem Vorrat, Volltextsuche mit Filtern nach Medikament/Zeitraum/Adhärenz-Status, Sortierbare Ansicht nach Einnahmezeit/Adhärenzquote, Verknüpfung zwischen Medikamenten und verordnenden Ärzten, Duplikat-Erkennung bei Medikamenteneingabe, Datenvalidierung Pflichtfelder und Dosierungsformat, Import/Export CSV/JSON für Arztbesuche, Backup/Restore gesamten Medikationsplan, Adhärenzquote-Statistik über Zeit (ApexCharts Gauge), Vergessene-Einnahmen-Muster-Erkennung nach Wochentag, GSAP Einnahme-Erinnerungs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Medikationsdaten bleiben lokal auf dem Gerät gespeichert, kein Cloud-Abgleich - USE CASE: Patienten mit komplexen Medikationsplänen behalten die Übersicht und verbessern nachweislich ihre Therapietreue, pflegende Angehörige nutzen die Adhärenzquote um rechtzeitig gegenzusteuern. WICHTIG: reine Erinnerungs- und Dokumentationshilfe, kein Medizinprodukt, ersetzt keine ärztliche Beratung zu Wechselwirkungen.\n\n86. **#686** — entwickle eine Schlaf-Tracking-Datenbank mit Muster- und Störfaktor-Analyse - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schlaf-Log-Stammdaten Datum/Einschlafzeit/Aufwachzeit/Schlafqualität-Bewertung, Störfaktoren-Erfassung Koffein/Bildschirmzeit/Stress, Schlafphasen-Schätzung-Mockup Tief-Leicht-REM, Wochentag-Muster-Erkennung Wochenende-vs-Wochentag, Volltextsuche mit Filtern nach Zeitraum/Qualität/Störfaktor, Sortierbare Ansicht nach Datum/Schlafdauer/Qualität, Verknüpfung zwischen Schlafqualität und erfassten Störfaktoren, Duplikat-Erkennung mehrfacher Einträge derselben Nacht, Datenvalidierung Pflichtfelder und Zeitformat-Plausibilität, Import/Export CSV/JSON, Backup/Restore gesamtes Schlaftagebuch, Schlafdauer-Trend über Wochen (ApexCharts Line), Korrelations-Heatmap Störfaktor-vs-Qualität (D3.js), GSAP Schlafzyklus-Animationen, PRIVATSPHÄRE-HINWEIS im Code: sämtliche Schlafdaten verbleiben lokal im Browser-Speicher ohne Server-Anbindung - USE CASE: Menschen mit Schlafproblemen identifizieren durch systematisches Tracking eigene Muster und Störfaktoren, die Korrelations-Heatmap macht sichtbar welche Gewohnheiten die Schlafqualität tatsächlich beeinflussen.\n\n87. **#687** — programmiere ein Stimmungstagebuch als mentale-Gesundheit-Datenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Stimmungs-Log-Stammdaten Datum/Stimmungsskala/Auslöser/Notizen, Aktivitäts-Verknüpfung welche Tätigkeiten mit welcher Stimmung korrelieren, Trigger-Kategorisierung Arbeit/Beziehung/Gesundheit/Schlaf, Therapiesitzungs-Verknüpfung-Mockup falls in Behandlung, Volltextsuche mit Filtern nach Zeitraum/Stimmungslevel/Trigger, Sortierbare Ansicht nach Datum/Stimmungslevel, Verknüpfung zwischen Stimmungseinträgen und identifizierten Triggern, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Skalenformat, Import/Export CSV/JSON für Therapiegespräche, Backup/Restore gesamtes Stimmungstagebuch verschlüsselt-Mockup, Stimmungsverlauf über Monate (ApexCharts Line), Trigger-Häufigkeits-Analyse (ApexCharts Donut), GSAP sanfte Übergangs-Animationen, PRIVATSPHÄRE-HINWEIS im Code: höchst sensible Daten verbleiben ausschließlich lokal auf dem Gerät, keinerlei Cloud-Synchronisation oder Analyse durch Dritte - USE CASE: Menschen in therapeutischer Begleitung dokumentieren Stimmungsverläufe zwischen Sitzungen für konstruktivere Gespräche mit ihrem Therapeuten, die Trigger-Analyse hilft eigenständig wiederkehrende Belastungsmuster zu erkennen. WICHTIG: kein Ersatz für professionelle psychologische oder psychiatrische Behandlung, bei akuten Krisen bitte an Fachpersonal oder Notdienste wenden.\n\n88. **#688** — baue einen Schwangerschaftskalender als Gesundheitsdatenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Schwangerschafts-Stammdaten Errechneter-Termin/aktuelle-Woche/Gewichtszunahme, Vorsorgetermin-Historie mit Untersuchungsergebnissen, Symptom-Tagebuch pro Schwangerschaftswoche, Meilenstein-Tracking Ultraschalltermine/Screenings, Volltextsuche mit Filtern nach Woche/Termin-Typ, Sortierbare Ansicht nach Datum/Schwangerschaftswoche, Verknüpfung zwischen Vorsorgeterminen und Untersuchungsergebnissen, Duplikat-Erkennung bei Termineingabe, Datenvalidierung Pflichtfelder und Datumsformat, Import/Export CSV/JSON für Mutterpass-Ergänzung, Backup/Restore gesamten Schwangerschaftskalender, Gewichtszunahme-Verlauf nach Woche (ApexCharts Line), Countdown-bis-Errechneter-Termin, GSAP Wochenfortschritts-Animationen, PRIVATSPHÄRE-HINWEIS im Code: alle Daten bleiben lokal im Browser gespeichert, kein Ersatz für den offiziellen Mutterpass - USE CASE: Schwangere behalten Vorsorgetermine und Körperveränderungen über die gesamte Schwangerschaft strukturiert im Blick, der Countdown und die Meilenstein-Übersicht schaffen Orientierung durch die einzelnen Schwangerschaftswochen. WICHTIG: ergänzt, ersetzt aber nicht den offiziellen Mutterpass, alle medizinischen Entscheidungen gehören in ärztliche Hände.\n\n89. **#689** — erstelle eine Physiotherapie-Reha-Übungslog-Datenbank - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übungs-Stammdaten Name/Zielbereich/Wiederholungen/Sätze/verordnet-von, Reha-Fortschritts-Tracking Schmerzskala und Beweglichkeit über Zeit, Übungsplan-Verknüpfung vom Physiotherapeuten vorgegeben, Terminverlauf Physiotherapie-Sitzungen, Volltextsuche mit Filtern nach Zielbereich/Zeitraum/Übungsplan, Sortierbare Ansicht nach Datum/Schmerzlevel/Fortschritt, Verknüpfung zwischen Übungen und verordnetem Behandlungsplan, Duplikat-Erkennung mehrfacher Einträge am selben Tag, Datenvalidierung Pflichtfelder und Skalenformat, Import/Export CSV/JSON für Physiotherapeuten, Backup/Restore gesamtes Reha-Logbuch, Schmerz-und-Beweglichkeits-Trend (ApexCharts Line), Übungstreue-Statistik geplant-vs-durchgeführt (ApexCharts Gauge), GSAP Fortschritts-Animationen, PRIVATSPHÄRE-HINWEIS im Code: Gesundheitsdaten verbleiben ausschließlich lokal im Browser ohne Server-Übertragung - USE CASE: Patienten in physiotherapeutischer Behandlung dokumentieren häusliche Übungen und Fortschritt zwischen den Terminen, der Trend aus Schmerz- und Beweglichkeitswerten liefert dem Therapeuten objektive Anhaltspunkte für die Plananpassung. WICHTIG: Dokumentationshilfe, kein Ersatz für die fachliche Beurteilung durch den behandelnden Physiotherapeuten.\n\n90. **#690** — entwickle eine Familien-Krankengeschichte-Datenbank für erbliche Erkrankungen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Familienmitglied-Stammdaten Name/Verwandtschaftsgrad/bekannte-Erkrankungen/Diagnosealter, Stammbaum-Verknüpfung erbliche Muster über Generationen (D3.js Baumdiagramm), Erkrankungs-Kategorisierung Herz-Kreislauf/Krebs/Stoffwechsel/genetisch, Risikofaktor-Übersicht basierend auf Familienhäufung, Volltextsuche mit Filtern nach Erkrankung/Verwandtschaftsgrad, Sortierbare Ansicht nach Diagnosealter/Erkrankungstyp, Verknüpfung zwischen Familienmitgliedern und ihren Erkrankungen, Duplikat-Erkennung bei Neuanlage, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Arztgespräche zur Familienanamnese, Backup/Restore gesamte Familienkrankengeschichte verschlüsselt-Mockup, Erkrankungshäufigkeit nach Familienzweig (ApexCharts Treemap), Generationsübergreifende-Muster-Anzeige, GSAP Stammbaum-Animationen, PRIVATSPHÄRE-HINWEIS im Code: hochsensible genetische und gesundheitsbezogene Familiendaten verbleiben ausschließlich lokal, keine Übertragung an genetische Beratungsstellen ohne expliziten manuellen Export - USE CASE: Familien mit gehäuft auftretenden Erkrankungen dokumentieren die Familienanamnese strukturiert für Arztgespräche und genetische Beratung, das Stammbaum-Diagramm macht erbliche Risikomuster über Generationen auf einen Blick erkennbar. WICHTIG: Hilfsmittel zur Gesprächsvorbereitung, ersetzt keine humangenetische Beratung, alle Daten bleiben lokal ohne Cloud-Anbindung.\n\n## Kategorie 10: GENEALOGIE- & ARCHIV-DATENBANKEN (10 Prompts)\n\n91. **#691** — programmiere eine Familienstammbaum-Genealogie-Datenbank mit Beziehungs-Verknüpfung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Personen-Stammdaten Name/Geburtsdatum/Sterbedatum/Geburtsort, Beziehungs-Verknüpfung Eltern-Kind-Ehepartner-Geschwister, Interaktiver-Stammbaum-Visualisierung mehrere Generationen (D3.js Baumdiagramm), Foto-und-Dokumenten-Anhang pro Person, Volltextsuche mit Filtern nach Nachname/Generation/Geburtsort, Sortierbare Ansicht nach Geburtsjahr/Generation/Familienzweig, Verknüpfung zwischen Personen und historischen Dokumenten, Duplikat-Erkennung ähnlicher Personen bei Neuanlage, Datenvalidierung Pflichtfelder und Datums-Plausibilität Geburt-vor-Tod, Import/Export GEDCOM-Mockup/CSV/JSON, Backup/Restore gesamter Stammbaum, Generationen-Verteilung und Familienzweig-Größe (ApexCharts Balken), Lücken-Erkennung fehlende Angaben in der Ahnenreihe, GSAP Stammbaum-Zoom-Animationen - USE CASE: Familienforscher bauen über Jahre einen detaillierten digitalen Stammbaum mit Belegen auf statt in Papierakten, die Lücken-Erkennung zeigt systematisch wo noch weitere Archivrecherche nötig ist.\n\n92. **#692** — baue ein historisches Dokumentenarchiv mit Metadaten-Tagging - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokument-Stammdaten Titel/Entstehungsjahr/Dokumenttyp/Urheber/Zustand, Metadaten-Tagging-System Thema/Region/beteiligte-Personen, Digitalisierungs-Status-Tracking gescannt/transkribiert/archiviert, Verknüpfung zu erwähnten Personen oder Orten, Volltextsuche mit Filtern nach Dokumenttyp/Jahr/Tag, Sortierbare Ansicht nach Entstehungsjahr/Digitalisierungsstatus, Verknüpfung zwischen zusammengehörigen Dokumenten derselben Akte, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Archivverwaltung, Backup/Restore gesamtes Archiv, Bestandsübersicht nach Dokumenttyp und Jahrzehnt (ApexCharts Treemap), Restaurierungsbedarf-Warnung bei schlechtem Zustand, GSAP Archivregal-Animationen - USE CASE: Archive und Heimatvereine katalogisieren historische Dokumente mit durchsuchbaren Metadaten statt physischer Karteikästen, die Restaurierungsbedarf-Warnung priorisiert welche empfindlichen Bestände zuerst konserviert werden müssen.\n\n93. **#693** — erstelle eine Foto-Archiv-Datenbank mit Tagging und Datierung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Foto-Stammdaten Aufnahmedatum-geschätzt/Ort/abgebildete-Personen/Fotograf, Datierungs-Schätzungs-Feld bei unsicherem Aufnahmedatum mit Konfidenz-Angabe, Personen-Tagging-System mehrere Personen pro Foto verknüpft, Themen-Alben-Zuordnung thematische Sammlungen, Volltextsuche mit Filtern nach Zeitraum/Ort/getaggter-Person, Sortierbare Ansicht nach Datum/Ort/Album, Verknüpfung zwischen Fotos und Personen-Datensätzen aus dem Stammbaum, Duplikat-Erkennung ähnlicher Fotos bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON mit Metadaten, Backup/Restore gesamtes Fotoarchiv, Foto-Verteilung nach Jahrzehnt und Ort (ApexCharts Balken), Unbestimmte-Personen-Liste noch zu identifizierende Personen, GSAP Fotoalbum-Blättern-Animationen - USE CASE: Familien digitalisieren und ordnen alte Fotosammlungen mit Personen- und Ortsangaben bevor Wissen über die Abgebildeten verloren geht, die Verknüpfung zum Stammbaum macht Fotos für künftige Generationen dauerhaft zuordenbar.\n\n94. **#694** — entwickle ein Heimatverein-Lokalgeschichte-Archiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Archiv-Eintrag-Stammdaten Titel/Zeitraum/Kategorie-Gebäude-Ereignis-Person/Quelle, Orts-Verknüpfung historische Gebäude und Straßenzüge mit heutiger Lage, Zeitzeugen-Interview-Verknüpfung falls vorhanden, Bild-und-Dokumenten-Anhang pro Eintrag, Volltextsuche mit Filtern nach Kategorie/Zeitraum/Ort, Sortierbare Ansicht nach Zeitraum/Kategorie/Relevanz, Verknüpfung zwischen Einträgen zu übergreifenden Themen Ortsgeschichte, Duplikat-Erkennung ähnlicher Einträge, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Vereinspublikationen, Backup/Restore gesamtes Ortsarchiv, Themenverteilung nach Kategorie und Jahrzehnt (ApexCharts Treemap), Fehlende-Dokumentation-Erkennung Lücken in der Ortschronik, GSAP Zeitleisten-Animationen - USE CASE: Heimat- und Geschichtsvereine bewahren lokale Ereignisse und Bauwerke digital für kommende Generationen, die Lücken-Erkennung zeigt welche Zeiträume der Ortschronik noch weiterer Recherche bedürfen.\n\n95. **#695** — programmiere ein Zeitzeugen-Interview-Transkript-Archiv durchsuchbar - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interview-Stammdaten Zeitzeuge/Aufnahmedatum/Themengebiet/Interviewer, Transkript-Text-Feld durchsuchbar mit Zeitstempel-Markierung, Themen-Tagging pro Textabschnitt für gezielte Recherche, Einverständniserklärungs-Status-Tracking-Mockup für Veröffentlichung, Volltextsuche im Transkript-Volltext mit Filtern nach Thema/Zeitzeuge, Sortierbare Ansicht nach Aufnahmedatum/Themengebiet, Verknüpfung zwischen Interviews zum selben historischen Ereignis, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON/Text für Publikationen, Backup/Restore gesamtes Interviewarchiv, Themenverteilung über alle Interviews (ApexCharts Donut), Veröffentlichungsstatus-Übersicht freigegeben-vs-gesperrt, GSAP Transkript-Scroll-Animationen - USE CASE: Geschichtsprojekte und Archive bewahren mündliche Überlieferungen von Zeitzeugen mit durchsuchbaren Transkripten für die historische Forschung, die Themen-Tagging-Struktur ermöglicht gezieltes Auffinden relevanter Passagen über viele Interviews hinweg.\n\n96. **#696** — baue eine Familien-Erbstück-Provenienz-Datenbank mit Besitzerketten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbstück-Stammdaten Objekt/Herkunftsperson/Entstehungsjahr-geschätzt/Zustand, Besitzerketten-Verknüpfung wer besaß das Stück in welcher Generation, Geschichten-und-Bedeutung-Feld zur Familienerzählung, Foto-Dokumentation mit Detailaufnahmen, Volltextsuche mit Filtern nach Objekttyp/Generation/Familienzweig, Sortierbare Ansicht nach Entstehungsjahr/Generation, Verknüpfung zwischen Erbstücken und Personen im Stammbaum, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Nachlassplanung, Backup/Restore gesamte Erbstück-Datenbank, Objektverteilung nach Kategorie und Generation (ApexCharts Treemap), Weitergabe-Planung wer soll Stück künftig erben, GSAP Vitrinen-Ansicht-Animationen - USE CASE: Familien dokumentieren die Herkunft und Bedeutung von Erbstücken bevor die Geschichten dahinter mit der älteren Generation verloren gehen, die Weitergabe-Planung unterstützt eine einvernehmliche Nachlassregelung wertvoller Familienstücke.\n\n97. **#697** — erstelle eine Auswanderer-Ahnen-Migrationsdatenbank mit Kartenrouten - HTML - TECH: Bulma+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Migrations-Stammdaten Person/Herkunftsort/Zielort/Auswanderungsjahr/Beweggrund, Reiseroute-Visualisierung auf Karte (Leaflet), Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Dokumenten-Anhang Passagierlisten-Einbürgerungsunterlagen-Mockup, Volltextsuche mit Filtern nach Herkunftsland/Zielland/Zeitraum, Sortierbare Ansicht nach Auswanderungsjahr/Herkunftsort, Verknüpfung zwischen mehreren Familienmitgliedern derselben Migrationswelle, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder und Jahresformat, Import/Export CSV/JSON für Ahnenforschungs-Austausch, Backup/Restore gesamte Migrationsdatenbank, Migrationsrouten-Statistik nach Jahrzehnt (ApexCharts Balken), Zielort-Häufigkeits-Karte, GSAP Kartenrouten-Animationen - USE CASE: Ahnenforscher dokumentieren die Auswanderungsgeschichte ihrer Familie mit Routen und Beweggründen nachvollziehbar, die Kartenvisualisierung macht historische Migrationsmuster ganzer Familienzweige über Kontinente hinweg sichtbar.\n\n98. **#698** — entwickle eine Kriegsgedenk-Militärakten-Genealogie-Datenbank - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Militärakten-Stammdaten Person/Einheit/Dienstzeitraum/Einsatzort, Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Auszeichnungs-und-Verwundungs-Dokumentation, Dokumenten-Anhang Wehrpass-Feldpostbriefe-Mockup, Volltextsuche mit Filtern nach Einheit/Zeitraum/Einsatzort, Sortierbare Ansicht nach Dienstzeitraum/Einheit, Verknüpfung zwischen Familienmitgliedern die in derselben Einheit dienten, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Militärarchiv-Recherche, Backup/Restore gesamte Militärakten-Datenbank, Einsatzort-Verteilung über Zeit (ApexCharts Balken), Gedenktag-Erinnerung für Familienmitglieder, GSAP Gedenk-Zeitleisten-Animationen - USE CASE: Familienforscher dokumentieren den Kriegsdienst früherer Generationen respektvoll mit belegten Quellen, die Verknüpfung zum Stammbaum bewahrt diese Erinnerungen dauerhaft für nachfolgende Generationen als Teil der Familiengeschichte.\n\n99. **#699** — programmiere ein Friedhofs-Grabstätten-Verzeichnis mit Kartenverortung - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Grabstätten-Stammdaten Verstorbener/Geburtsdatum/Sterbedatum/Grabnummer-Lage, Friedhofsplan-Verortung auf interaktiver Karte (Leaflet), Verknüpfung zu Personen-Datensätzen aus dem Familienstammbaum, Grabpflege-Status-Tracking gepflegt/verwaist/Auflösung-droht, Volltextsuche mit Filtern nach Nachname/Zeitraum/Friedhof, Sortierbare Ansicht nach Sterbedatum/Grabnummer, Verknüpfung zwischen Grabstätten derselben Familie Familiengrab, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder und Datums-Plausibilität, Import/Export CSV/JSON für Heimatvereins-Dokumentation, Backup/Restore gesamtes Grabstätten-Verzeichnis, Belegungsstatistik nach Zeitraum (ApexCharts Balken), Auflösungsfrist-Warnung bei drohendem Nutzungsende, GSAP Friedhofsplan-Animationen - USE CASE: Familienforscher und Heimatvereine dokumentieren Grabstätten samt Lage bevor Gräber im Zuge von Nutzungsfristen aufgelöst werden, die Auflösungsfrist-Warnung ermöglicht rechtzeitige Umbettung oder Dokumentation bedeutender historischer Gräber.\n\n100. **#700** — baue ein historisches Zeitungsausschnitt-Archiv für Lokalgeschichte - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeitungsausschnitt-Stammdaten Titel/Erscheinungsdatum/Zeitung/Thema, Volltext-Abschrift-Feld für durchsuchbare Inhalte, Erwähnte-Personen-und-Orte-Tagging, Scan-Anhang des Originalausschnitts, Volltextsuche im Abschrift-Text mit Filtern nach Zeitung/Zeitraum/Thema, Sortierbare Ansicht nach Erscheinungsdatum/Thema, Verknüpfung zwischen Ausschnitten zum selben Ereignis oder derselben Person, Duplikat-Erkennung bei Neuerfassung, Datenvalidierung Pflichtfelder vor Speichern, Import/Export CSV/JSON für Heimatvereins-Publikationen, Backup/Restore gesamtes Zeitungsarchiv, Themenverteilung nach Jahrzehnt (ApexCharts Treemap), Verknüpfung zu Personen im Familienstammbaum bei Namensnennung, GSAP Zeitungsausschnitt-Scroll-Animationen - USE CASE: Heimatvereine und Familienforscher bewahren historische Zeitungsberichte über lokale Ereignisse und erwähnte Personen durchsuchbar auf, die Verknüpfung zum Familienstammbaum verbindet trockene Archivdaten mit den persönlichen Geschichten realer Vorfahren.\n\n=== ENDE - 100 DATENBANK-APP HTML5-PROMPTS ALLER ART (BATCH 7) ===\n\n## Hinweis\nBatch 7 ist im Unterschied zu den bisherigen Batches 1-3, 5 (die jeweils eine Branche/einen Sektor bzw. eine Markenwelt durchgehen) winkel-basiert (\"angle-based\") aufgebaut: die Anwendungsklasse \"Datenbank-App\" selbst bildet die Klammer, und die 10 Kategorien wandern durch 10 unterschiedliche reale Datendomänen statt durch 10 Branchen desselben Sektors. Da der gesamte Stack konsequent Frontend-Only HTML5-Apps ohne Anwendungsserver produziert, gibt es in diesem Batch keine \"verschiedenen Datenbank-Technologien\" im klassischen Sinn (kein MySQL/PostgreSQL/MongoDB-Vergleich) — stattdessen ist \"Datenbank\" hier durchgängig als IndexedDB bzw. LocalStorage im Browser zu verstehen, die als vollwertige client-seitige Persistenzschicht mit strukturierten Datensätzen, Relationen zwischen Datensatz-Typen, Suche/Filter/Sortierung, Import/Export, Duplikat-Erkennung, Datenvalidierung und Backup/Restore fungiert. Die zehn Domänen (persönliche Inventare, Kontakte, Bibliotheken/Medien, Rezepte/Ernährung, Wissen/Referenz, Projekte/Aufgaben, IT-Assets, Events/Buchungen, Gesundheit/Fitness, Genealogie/Archiv) wurden bewusst so gewählt, dass sie sich gegenseitig nicht überschneiden und jeweils die typischen Muster einer Datenbank-Anwendung — Stammdaten, Relationen, Suche, Validierung, Reporting — an einem konkreten, alltagsnahen Anwendungsfall zeigen. In Kategorie 9 (Gesundheits- & Fitness-Datenbanken, #681-690) tragen alle gesundheitsbezogenen Prompts zusätzlich einen expliziten Privatsphäre-Hinweis, der klarstellt dass sensible Gesundheitsdaten in diesen Demo-Apps ausschließlich lokal im Browser verbleiben und keine Server-Übertragung stattfindet — eine bewusste Ergänzung angesichts der Sensibilität dieser Datenkategorie auch in einer reinen Frontend-Demo.\n\n---\n\n## Appendix: Archive-Tool-Promptliste\n\nDiese fünf Prompts gehören zur übergreifenden Archive- und Tool-Planung. Sie sind bewusst als eigener Appendix markiert und nicht Teil der 100 Datenbank-App-Prompts `#601–#700`.\n\n### Priorität 1 — Public Release Gate\n\nEntwickle ein Public Release Gate für den letzten Schritt vor der Veröffentlichung eines Archive-Builds. Es prüft Raw-Source-Leaks, Credential-Muster, private URLs, unsanitized HTML, externe und kaputte Links, fehlende Quellen, Snapshot-Konsistenz, Corpus-Zählungen, Duplicate-Gruppen, Accessibility-Grundchecks, CSP-Status und den Browser-Smoke-Test. Das Ergebnis soll klar zwischen `PUBLIC RELEASE: BLOCKED`, Warnungen und bestandenen Checks unterscheiden.\n\n### Priorität 2 — Snapshot Diff Explorer\n\nEntwickle einen Snapshot Diff Explorer, der zwei Archive-Builds vergleicht. Sichtbar werden neue, entfernte und geänderte Projekte, Frontmatter-Änderungen, Sicherheitsbefunde, neue oder entfernte Embeddings, Duplicate-Gruppen und veränderte Readiness-Grade. Jeder Unterschied erhält Source- und Snapshot-Referenzen, damit das statische Archiv nachvollziehbar versioniert bleibt.\n\n### Priorität 3 — Project Compare Lab\n\nEntwickle ein Project Compare Lab für zwei bis vier ausgewählte Projekte. Die Vergleichsansicht zeigt Status, Rebuild Grade, Tech Stack, Zielgruppe, Feature-Scope, Security Findings, Dependencies, Documentation Coverage, RAG Similarity, Source Confidence und Provenance nebeneinander. Das Tool soll Unterschiede erklären und nicht nur Rohfelder in Tabellenform darstellen.\n\n### Priorität 4 — RAG Evaluation Lab\n\nEntwickle ein RAG Evaluation Lab mit 20–50 Golden Queries und erwarteten Source-IDs. Es misst Recall@K, Precision@K, MRR, Citation Validity, Unsupported-Claim-Rate sowie den Vergleich zwischen lexical, semantic und hybrid retrieval. Zusätzlich soll es Snapshot-zu-Snapshot-Regressionsvergleiche und eine klare Kennzeichnung für Halluzinations- oder Redaction-Cases liefern.\n\nBeispiel:\n\n```text\nQuery: \"Stripe subscription checkout\"\nExpected sources: 3\nFound in top 8: 3\nRecall@8: 100%\nCitation validity: 100%\n```\n\n### Priorität 5 — Unified Archive Workbench\n\nEntwickle eine gemeinsame Archive Workbench für lokale Projekte, HTML-Analysen, Ebooks, Kataloge, Prompt-Ideen, Root-Dateien und RAG-Vektoren. Die Workbench bietet getrennte Provenance-Filter und die Modi Browse, Exact search, Hybrid search, Semantic search, Compare und Build handoff. Prompt-Ideen und Katalogdaten bleiben dabei sichtbar getrennt von lokaler Projekt-Evidence.\n",
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        "title": "DOMVS AVREA — Umsetzungsplan für `expansion.txt`",
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        "overview": "# DOMVS AVREA — Umsetzungsplan für `expansion.txt` **Quelle:** `expansion.txt` **Planstand:** 2026-09-07 **Ziel:** Die bestehende statische Archive-Intelligence-Suite schrittweise zu einer versionierten Evidence-to-Execution Control Plane ausbauen, ohne Originalquellen zu verändern oder Evidence-Rollen zu vermischen. ## 1. Review und Leitentscheidung Die Roadmap ist inhaltlich konsistent und beschreibt ein sinnvolles Zielbild: ```text Archive Snapshot → Sanitized Evidence → Provenance → Genome / Fusion → Build Package → Acceptance Plan → App Bootstrap → Validation → Change Impact → Rebuild / Release Decision ``` Die Umsetzung darf nicht mit späteren Oberflächen beginnen. Die kritischen Querschnittsverträge fehlen noch: 1. Eine einheitliche Sanitization muss vor Chunking, Embedding und jedem öffentlichen Export greifen. 2. Intelligence, RAG und Build Packages müssen dieselbe",
        "content": "# DOMVS AVREA — Umsetzungsplan für `expansion.txt`\n\n**Quelle:** `expansion.txt`  \n**Planstand:** 2026-09-07  \n**Ziel:** Die bestehende statische Archive-Intelligence-Suite schrittweise zu einer versionierten Evidence-to-Execution Control Plane ausbauen, ohne Originalquellen zu verändern oder Evidence-Rollen zu vermischen.\n\n## 1. Review und Leitentscheidung\n\nDie Roadmap ist inhaltlich konsistent und beschreibt ein sinnvolles Zielbild:\n\n```text\nArchive Snapshot\n→ Sanitized Evidence\n→ Provenance\n→ Genome / Fusion\n→ Build Package\n→ Acceptance Plan\n→ App Bootstrap\n→ Validation\n→ Change Impact\n→ Rebuild / Release Decision\n```\n\nDie Umsetzung darf nicht mit späteren Oberflächen beginnen. Die kritischen\nQuerschnittsverträge fehlen noch:\n\n1. Eine einheitliche Sanitization muss vor Chunking, Embedding und jedem\n   öffentlichen Export greifen.\n2. Intelligence, RAG und Build Packages müssen dieselbe Snapshot-Identität\n   referenzieren.\n3. Heuristische Scores müssen von ausgeführten und bestandenen Checks getrennt\n   bleiben.\n4. Build Packages brauchen ein stabiles Schema, Import/Export-Roundtrip und\n   Stale-Erkennung, bevor Bootstrap oder Collaboration sinnvoll sind.\n5. Der zentrale Generator sollte erst nach stabilisierten Datenverträgen\n   modularisiert werden; sonst werden die gleichen Schnittstellen mehrfach\n   umgebaut.\n\n## 2. Scope-Regeln\n\nDiese Regeln gelten für jede Phase:\n\n- `replit.md`, E-Books, Handbooks und sonstige Originalquellen bleiben\n  unverändert.\n- Private Source Inventory und veröffentlichbares Sanitized Corpus bleiben\n  getrennte Arteklassen.\n- Snapshot-, Heuristik- und Live-Evidence werden getrennt gespeichert,\n  bezeichnet und bewertet.\n- Jede belastbare Aussage erhält Source- oder Evidence-IDs; Annahmen werden\n  explizit als solche markiert.\n- Environment-Variablennamen dürfen in Packages stehen, Werte und Secrets\n  niemals.\n- Statische Nutzung, HTTP-Export und Offline-Fallback bleiben funktionsfähig.\n- Jeder neue Export erhält `schema_version`, Provenance-Verweis und messbare\n  Akzeptanzkriterien.\n- Kein Readiness-, Opportunity- oder Rebuildability-Score darf einen\n  ausgeführten Test vortäuschen.\n\n## 3. Zielarchitektur und Artefaktverträge\n\n### 3.1 Bestehende Eingänge\n\n- `0-REPLIT-MD-EXPORT/` — lokale Projektquellen\n- `new-html-stack.json` — Stack-Kandidaten\n- `stack-100-prompts.md`, `dvag-100-prompts.md`, weitere Prompt-Dateien —\n  Ideen-/Discovery-Kataloge\n- `replit-stack-komplett.txt` — Snapshot-Evidence\n- `tools/build_archive_intelligence.py` — Intelligence-/Catalog-Generator\n- `tools/build_rag_index.py` — RAG-Dokumente, Chunks und Manifest\n- `tools/embed_rag_index.py` — Embedding-Erzeugung\n\n### 3.2 Neue gemeinsame Verträge\n\nDie folgenden Verträge werden einmal definiert und von Generator, RAG,\nControl Room und Build Factory wiederverwendet:\n\n- **Snapshot Manifest:** Snapshot-ID, Capture-Zeitpunkt, Source-Liste,\n  normalisierte und sanitizierte Hashes, Generator-/Konfigurationshash,\n  Parent-Build.\n- **Evidence Reference:** `source_id`, `record_id`, optional `chunk_id`,\n  Heading-Pfad, Evidence-Rolle und Evidence-Grade.\n- **Sanitized Corpus Record:** maskierter Text, stabile Source-ID,\n  Heading-Metadaten, Sanitization-Report-ID.\n- **Build Package:** Package-ID/-Version, Snapshot-ID, Quellen und Chunks,\n  Produktvertrag, Anforderungen, Stack, Abhängigkeiten, Risiken, Konflikte,\n  Gates, Milestones, Acceptance Cases und Rollback-Strategie.\n- **Acceptance Case:** Requirement, Given/When/Then, Testtyp, Kommando,\n  erwartetes Ergebnis, Evidence, Status und Artefakt-Links.\n- **Validation Result:** Package-ID/-Version, Checktyp, Start/Ende, Exit-Code,\n  Status, Log-/Screenshot-Referenz und verwendete Snapshot-ID.\n- **Live Evidence Result:** URL, Redirect-Kette, Status, TLS/DNS/Timeout,\n  Zeitpunkt und separate Live-Evidence-ID.\n\nBreaking Changes an diesen Verträgen erfordern `schema_version`-Erhöhung und\neine explizite Migration oder Ablehnung.\n\n## 4. Phasenplan\n\n### Phase 0 — Contract Baseline und Test-Fixtures\n\n**Priorität:** P0, technische Voraussetzung  \n**Abhängigkeiten:** keine\n\n**Arbeitspakete**\n\n1. Fixture-Sammlung anlegen:\n   minimales/großes Projekt, fehlende Datei, Duplicate Name, Unicode,\n   relative Creation Date, Secret Fixture, ungültige URL, widersprüchliche\n   Fusion und veraltetes Manifest.\n2. Gemeinsame Schema- und ID-Regeln festlegen.\n3. Deterministische Canonicalization für JSON, Markdown-Metadaten und\n   Konfiguration definieren.\n4. Baseline- und Clean-Build-Vergleich als Testablauf dokumentieren.\n\n**Akzeptanz**\n\n- Gleiche Eingaben erzeugen byte- oder semantisch stabile IDs und Hashes.\n- Fixtures können Generator-, RAG- und Package-Tests speisen.\n- Keine Änderung an Originalquellen ist für einen Build erforderlich.\n\n### Phase A — Safe Publication Boundary\n\n**Priorität:** P0, vor jeder Veröffentlichung  \n**Abhängigkeiten:** Phase 0\n\n#### A1 Sanitized Corpus Compiler\n\n- Sanitization zentral in einem wiederverwendbaren Python-Modul bündeln.\n- Credential-Zuweisungen, Tokens, private Hosts, Connection Strings und\n  sensitive Header erkennen.\n- Erlaubte Platzhalter explizit allowlisten.\n- Sanitization vor Chunking, Embedding und Browser-Indexierung erzwingen.\n- Private Inventory und sanitized Publishable Corpus getrennt exportieren.\n- Öffentlichen Build bei nicht erlaubten Findings abbrechen.\n- Report nur mit Datei, Zeile, Finding-Typ und Hash erzeugen.\n\n**Akzeptanz:** Secret-Fixture stoppt den Build; veröffentlichte RAG-, HTML-,\nJSON-, JSONL- und Vektorartefakte entstehen nur aus sanitized Text; Heading-\nStruktur und stabile Source-IDs bleiben erhalten.\n\n#### A2 Hard Context Budget\n\n- Ein globales Gesamtbudget für Chunks, Nachbarschaft, Zitate und\n  optionale Auszüge einführen.\n- Vollständige Dokumentübertragung aus dem Standard-Chatpfad entfernen.\n- Bounded Neighborhood Retrieval um relevante Headings verwenden.\n- Payload vor dem Remote-Aufruf validieren und bei Überschreitung hart\n  ablehnen.\n- UI zeigt Quellenanzahl, Zeichenbudget, ausgelassene Chunks und\n  Truncation-Grund.\n\n**Akzeptanz:** Kein Request überschreitet das Budget; leere, große und\nadversariale Dokumente sind getestet; Zitate verweisen nur auf gesendete\nEvidence.\n\n#### A3 Remote Egress Transparency\n\n- Vor Semantic Search und Chat Data-Flow-Hinweis anzeigen.\n- Route, Modellklasse und Payload-Kategorie ausweisen, aber keine Geheimnisse\n  speichern oder anzeigen.\n- Local-only-Modus für lexikalische/lokale Suche ergänzen.\n- Egress-Log mit Counts und Source-IDs, ohne Inhalte, exportierbar machen.\n- Zustimmung oder Local-only-Auswahl vor dem ersten Remote-Aufruf einholen.\n\n**Akzeptanz:** Local-only funktioniert ohne Netzwerk; Remote-Payloads sind\nsanitized und budgetiert; Egress-Log enthält keine Quelltexte.\n\n### Phase B — Trusted Evidence und Reproduzierbarkeit\n\n**Priorität:** P1  \n**Abhängigkeiten:** Phase A\n\n#### B1 Provenance Manifest\n\n- Snapshot-ID aus Capture-Zeitpunkt und Source-/Corpus-Hash ableiten.\n- Pro Quelle normalisierten und sanitizierten Hash speichern.\n- `ARCHIVE-INTELLIGENCE.json`, RAG-Manifest und Packages gegenseitig\n  referenzieren lassen.\n- Generator bei gemischten, fehlenden oder veralteten Inputs abbrechen.\n- Manifest Viewer im Control Room ergänzen.\n\n#### B2 Immutable Snapshot Dates\n\n- `captured_at` für Stack-Snapshots separat speichern.\n- Relative Datumswerte nur beim expliziten Snapshot-Import schätzen.\n- Rohlabel, Snapshot-Zeitpunkt und Schätzregel dokumentieren.\n\n#### B3 Deterministic Incremental Builds\n\n- Hash-basierter Cache und Dependency Map einführen:\n  `source → sanitized source → chunks → embeddings → intelligence → packages`.\n- Gelöschte/umbenannte Quellen aus Derived Records entfernen.\n- Build Report mit `reused`, `rebuilt` und `removed` ausgeben.\n\n**Akzeptanz für Phase B**\n\n- Intelligence und RAG verweigern unterschiedliche Snapshot-IDs.\n- Wiederholte Builds desselben Snapshots liefern identische Schätzungen.\n- Clean Build und Incremental Build sind inhaltlich äquivalent.\n\n### Phase C — Versioned Build Packages\n\n**Priorität:** P1, höchster Produktwert  \n**Abhängigkeiten:** Phase B, Schema-Verträge\n\n#### C1 Build Package Compiler\n\n- Genome-, Fusion- und Mutation-Ergebnisse in ein versioniertes Package\n  kompilieren.\n- JSON-, Markdown- und Agent-Handoff-Ausgaben erzeugen.\n- Jede Requirement benötigt Evidence-ID oder `explicit_assumption`.\n- Nur Variablennamen, niemals Werte, in Environment-Abschnitte aufnehmen.\n- Package-Import, Schema-Validierung und Hash-Prüfung implementieren.\n- Export → Import → Export semantisch stabil machen.\n\n#### C2 Build Package Studio\n\n- Tabs für Evidence, Decisions, Requirements, Risks und Tests.\n- Evidence-Verknüpfung oder explizite Annahme je Requirement.\n- Source Preview mit exakter Heading-Position.\n- Quality Meter für Evidence Coverage, Konflikte, P0-Testabdeckung,\n  Security Gates und Stale Sources.\n- Unaufgelöste P0-Konflikte blockieren `Ready for Build`.\n\n#### C3 Fusion Conflict Matrix\n\n- Konflikte für Framework, Backend, Datenbank, Auth, Deployment, State,\n  Styling, Datenmodell, Produktversprechen, Zielgruppe und Lizenz erfassen.\n- Entscheidungen `prefer A`, `prefer B`, `merge`, `replace`, `unresolved`.\n- Owner, Status, Begründung und Evidence-Link speichern.\n- Entscheidungen in Package und ADR Bundle übernehmen.\n\n**Akzeptanz für Phase C**\n\n- Package ist erneut importierbar und validierbar.\n- Manipulierte Hashes und unbekannte Schema-Versionen werden abgelehnt.\n- Kein erkannter Konflikt verschwindet still.\n\n### Phase D — Acceptance Planner und Validation\n\n**Priorität:** P1  \n**Abhängigkeiten:** Phase C\n\n#### D1 Requirement-to-Test Traceability\n\n- Acceptance Cases als JSON und Markdown exportieren.\n- P0 Requirements mit mindestens einem Test oder genehmigter Ausnahme\n  erzwingen.\n- Traceability Matrix zwischen Requirement, Test, Evidence und Ergebnis\n  erzeugen.\n\n#### D2 Validation Runner\n\n- Check-Klassen integrieren: Syntax, Unit, Integration, Browser DOM,\n  Accessibility, Security, Link Integrity und Workflow Health.\n- Result Bundle mit Exit-Code, Logs, Screenshot-Referenzen und Package-ID\n  erzeugen.\n- Zustände `pass`, `fail`, `blocked`, `not-run` unterscheiden.\n- P0-Gate blockiert Release bei `fail` oder `not-run`.\n\n#### D3 Evidence-grade Readiness\n\n- Grades `documented`, `inferred`, `configured`, `executed`, `verified`,\n  `live` einführen.\n- Heuristische Readiness von ausgeführten Checks getrennt darstellen.\n- UI und JSON-Exporte mit Grade und Evidence-Links erweitern.\n\n**Akzeptanz:** 100 % der P0 Requirements sind testabgedeckt oder ausdrücklich\ngenehmigt; `Tests vorhanden` und `Tests bestanden` erscheinen als getrennte\nMetriken.\n\n### Phase E — RAG Quality Lab und Skalierung\n\n**Priorität:** P1/P2  \n**Abhängigkeiten:** Phase A, B und D\n\n1. 30–50 repräsentative Fragen mit erwarteten Source-IDs, Headings,\n   Negativ-, Ambiguitäts- und Redaction-Cases definieren.\n2. Recall@1/@3/@5, MRR, Citation Validity, Unsupported Claim Rate,\n   Unsafe Answer Rate, Latenz und Payload-Größe messen.\n3. Chunking Workbench für Heading-only, Fixed Size, Overlap und Semantic\n   Section bauen.\n4. Citation Auditor mit Claim-Segmentierung und Zuständen\n   `supported`, `partially supported`, `unsupported`, `citation missing`\n   ergänzen.\n5. Erst nach Baseline-Messung auf Shards, Lazy Loading, Web Worker oder\n   statischen ANN-Index umstellen.\n\n**Akzeptanz:** Jeder Generator-Build erzeugt einen Quality Report;\nRegressionen unter den Baselines blockieren den Release; der Initial Load\nbenötigt nicht die vollständige Vektordatei.\n\n### Phase F — Change Detection und Impact\n\n**Priorität:** P1/P2  \n**Abhängigkeiten:** Phase B, C und D\n\n1. Snapshot Diff für Quellen, Headings, Chunks, Dependencies,\n   Security-Findings, Readiness, Graph und Stack Snapshot.\n2. Alte und neue Evidence-ID pro relevantem Unterschied speichern;\n   Zeitstempeländerungen allein aus dem Inhaltsdiff ausschließen.\n3. Stale Package Gate nur bei Änderungen an zitierten Sources,\n   Dependencies, Decisions oder Gates auslösen.\n4. Impact-Erklärung mit Requirement, Evidence, Risiko und Aktion ausgeben.\n5. Optionen `accept unchanged`, `regenerate section`, `rebuild package`,\n   `archive package` implementieren.\n6. Dependency Blast-to-Action mit verlinkten Projekten, Packages,\n   Migration Checklist und Impact Pack ergänzen.\n\n**Akzeptanz:** Änderungen außerhalb der Package-Evidence machen Packages\nnicht stale; jede Stale-Markierung ist nachvollziehbar.\n\n### Phase G — Graph Intelligence 2.0\n\n**Priorität:** P2  \n**Abhängigkeiten:** Phase B und F\n\n- Project Lineage als Vorschläge mit Signalen, Score und Accept/Reject/Replace.\n- Bestätigte Overrides regenerationsfest speichern.\n- Duplicate-/Component-Mining für Auth, Dashboard, Search, Export und Data\n  Layer mit Reuse/Rewrite/Avoid-Empfehlung.\n- Architecture Pattern Atlas mit Projekten, Stack, Stärken, Risiken und\n  Build Recipes.\n\n**Akzeptanz:** Inferred Lineage wird nie als bestätigte Tatsache dargestellt;\njede Empfehlung nennt Quellen und Konflikte; keine automatische Codeübernahme.\n\n### Phase H — New App Bootstrap\n\n**Priorität:** P2  \n**Abhängigkeiten:** Phase C, D und F\n\n1. Agent-ready Scaffold Manifest aus freigegebenem Package erzeugen.\n2. Dry-run File Plan und Conflict Preview vor jeder Dateierzeugung anzeigen.\n3. Explizite Freigabe für Starter Generator verlangen.\n4. Minimale Projektbasis, Workflow, Baseline Tests und README mit Provenance\n   erzeugen.\n5. Build Progress Import für `implemented`, `tested`, `verified` und\n   `blocked` implementieren.\n\n**Akzeptanz:** Generierte Projekte starten im konfigurierten Workflow,\nBaseline-Acceptance-Cases laufen, Originalarchiv und bestehende Projekte\nbleiben unverändert.\n\n### Phase I — Portfolio, Operations und Collaboration\n\n**Priorität:** P2/P3  \n**Abhängigkeiten:** Phase C, D und F\n\n- Portfolio Command Center für Readiness, Rebuildability, Evidence Grade,\n  Package-Status, Opportunities, Risks und Queues.\n- Opportunity Scoring als sichtbare Heuristik mit Evidence.\n- Archive Ingestion Queue mit Duplicate Detection und Ingestion-Batch-ID.\n- Live Evidence Scheduler erst mit kontrollierter Ausführungsumgebung;\n  private IPs, interne Hosts, Redirects, Größe und Zeit strikt begrenzen.\n- Review/Approval an unveränderliche Package-Versionen binden.\n- Append-only Decision Log mit `supersedes`.\n- Shared Collections servergestützt; `localStorage` niemals als Autorisierung.\n\nDiese Phase wird bewusst zuletzt umgesetzt, weil sie ohne stabile Package-,\nValidation- und Provenance-Verträge falsche Sicherheit erzeugen würde.\n\n## 5. Refactoring-Strategie\n\nDie Generator-Modularisierung erfolgt nach Phase B und parallel zum Beginn\nvon Phase C, nicht davor:\n\n```text\ntools/archive_intelligence/\n  models.py\n  sources.py\n  sanitization.py\n  provenance.py\n  scoring.py\n  graph.py\n  stack_audit.py\n  build_packages.py\n  templates/\n    common.css\n    common.js\n    project-genome.html\n    build-factory.html\n    stack-gap-audit.html\n```\n\nVorgehen:\n\n1. Bestehende Ausgabe als Golden Snapshot sichern.\n2. Pure Datenlogik aus `build_archive_intelligence.py` extrahieren.\n3. Sanitization, Provenance und Package-Modelle als eigenständige Module\n   testen.\n4. HTML-Templates erst danach auslagern.\n5. Generator-Ausgabe byte- oder semantisch gegen den Golden Snapshot prüfen.\n6. Jede extrahierte Seite über einen klaren Einstiegspunkt erzeugen.\n\n## 6. Durchgängige Verifikation\n\nJede Phase muss mindestens diese Prüfungen aktualisieren:\n\n- Python-Syntax und Contract Tests\n- JSON-/JSONL-Schema-Validierung\n- stabile und eindeutige IDs\n- `git diff --check`\n- HTML-JavaScript-Syntax\n- statische Linkintegrität\n- Browser-DOM-Smoke für neue Oberflächen\n- Download-/Import-/Export-Roundtrip\n- Security- und Sanitization-Fixtures\n- Workflow- und Performance-Budgets\n\nDie bestehende `tools/smoke_ui_artifacts.py` wird als Browser-Smoke-Baseline\nbeibehalten und pro neuer Oberfläche erweitert. Ein erfolgreicher Smoke-Test\nbelegt nur die getestete UI-/Datenintegration, nicht automatisch Live-,\nBuild- oder Deployment-Erfolg.\n\n## 7. Empfohlene erste Umsetzungseinheit\n\nDer erste tatsächliche Implementierungs-Slice sollte klein, aber vertikal\nvollständig sein:\n\n1. Contract-/Secret-Fixtures und `schema_version`-Konstanten.\n2. Sanitized Corpus Compiler für eine Quelle.\n3. RAG-Index aus sanitized Text erzeugen.\n4. Ein gemeinsames Provenance Manifest erzeugen.\n5. Hard Context Budget in den Grounded-Chat einbauen.\n6. Security Gate und Context-Budget-Tests ausführen.\n7. Control Room um Snapshot-ID, Sanitization-Status und Budgetstatus ergänzen.\n\nErst wenn dieser Slice grün ist, werden weitere Quellen, Build Packages und\nneue UI-Flächen darauf aufgebaut. So wird verhindert, dass unsanitized\nBestandsartefakte oder zeitlich gemischte Intelligence-Daten zur Grundlage\nder nächsten Ausbaustufen werden.\n\n## 8. Definition of Done für das Gesamtziel\n\nDie Factory gilt als durchgängig umgesetzt, wenn:\n\n- ein versionierter Snapshot importiert wird,\n- alle öffentlichen Artefakte vor Erzeugung sanitisiert werden,\n- RAG, Graph und Intelligence dieselbe Snapshot-ID referenzieren,\n- Genome/Fusion und Konfliktentscheidungen in ein Package einfließen,\n- jede P0 Requirement ein Acceptance Case und Evidence besitzt,\n- daraus ein agent-ready Scaffold Manifest entsteht,\n- ein neues Projekt reproduzierbar gestartet werden kann,\n- Validation Result Bundles in die Readiness zurückfließen,\n- neue Snapshots betroffene Packages nachvollziehbar stale markieren,\n- Rebuild, Migration, Approval und Archivierung bewusst ausgewählt werden\n  können.",
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        "overview": "# DOMVS AVREA — Prompt Libraries Direkter Root-Einstieg in die flach abgelegten Prompt- und Discovery-Listen. ## Prompt-Bibliotheken - [100 Database App Prompts](100-database.md) — Batch 7, Prompts `#601–#700` - [Archive-Tool-Promptliste](100-database.md#appendix-archive-tool-promptliste) — Public Release Gate, Snapshot Diff, Compare, RAG Evaluation und Unified Workbench - [DVAG Prompt Library](dvag-100-prompts.md) — DVAG-/Finanz- und Beratungs-Prompts - [DVAG Batch Alias](dvag-100.md) — bestehender flacher Alias derselben DVAG-Promptquelle - [Stack Prompt Library](stack-100-prompts.md) — Stack-, Produkt- und Build-Prompts - [School Prompt Library](school-100.md) — Lern-, Schul- und Prüfungsvorbereitungs-Prompts ## Weitere flache Root-Quellen - [Curated Replit Stack](replit-stack-komplett-kuratiert.txt) - [Complete Replit Stack](replit-stack-komplett.txt) - [HTML Stack Snapshot](n",
        "content": "# DOMVS AVREA — Prompt Libraries\n\nDirekter Root-Einstieg in die flach abgelegten Prompt- und Discovery-Listen.\n\n## Prompt-Bibliotheken\n\n- [100 Database App Prompts](100-database.md) — Batch 7, Prompts `#601–#700`\n  - [Archive-Tool-Promptliste](100-database.md#appendix-archive-tool-promptliste) — Public Release Gate, Snapshot Diff, Compare, RAG Evaluation und Unified Workbench\n- [DVAG Prompt Library](dvag-100-prompts.md) — DVAG-/Finanz- und Beratungs-Prompts\n- [DVAG Batch Alias](dvag-100.md) — bestehender flacher Alias derselben DVAG-Promptquelle\n- [Stack Prompt Library](stack-100-prompts.md) — Stack-, Produkt- und Build-Prompts\n- [School Prompt Library](school-100.md) — Lern-, Schul- und Prüfungsvorbereitungs-Prompts\n\n## Weitere flache Root-Quellen\n\n- [Curated Replit Stack](replit-stack-komplett-kuratiert.txt)\n- [Complete Replit Stack](replit-stack-komplett.txt)\n- [HTML Stack Snapshot](new-html-stack.json)\n- [Ebook Index](ebooks.100.md)\n\n## Provenance-Hinweis\n\nPrompt-Bibliotheken und Stack-Kataloge sind Discovery- und Ideationsquellen. Sie sind nicht automatisch lokale Projekt-Evidence und werden im Atlas, RAG und Catalog Explorer entsprechend getrennt ausgewiesen.\n\n[Zurück zum MD Atlas](0-REPLIT-MD-EXPORT/) · [Archive Control Room](ARCHIVE-TOOLS/) · [Vector Lab](RAG-EXPORT/RAG-VECTOR-LAB.html)",
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        "title": "100 DVAG Komplexe HTML5 App-Prompts",
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        "overview": "--- project: 100-dvag-complex-html5-app-prompts category: Prompt-Bibliothek cluster: DVAG / Finanzberatung tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, dvag, finance, insurance, crm, tax, retirement] --- # 100 DVAG Komplexe HTML5 App-Prompts ## Overview Batch-1-Prompt-Bibliothek für die KI-gestützte Massen-Generierung komplexer, frontend-only HTML5-Apps im DVAG-Berater-Umfeld: Finanzplanung, Investment, Versicherung, Immobilien, Berater-CRM, Steuer/Recht, Altersvorsorge, Konzern-Dashboards, Kunden-Self-Service und Training. 10 Kategorien à 10 Prompts, jeder Prompt production-ready formuliert (App-Name, Tech-Stack, Feature-Liste, Use-Case). ## Ziel-Komplexität - 150+ KB Dateig",
        "content": "---\nproject: 100-dvag-complex-html5-app-prompts\ncategory: Prompt-Bibliothek\ncluster: DVAG / Finanzberatung\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, dvag, finance, insurance, crm, tax, retirement]\n---\n\n# 100 DVAG Komplexe HTML5 App-Prompts\n\n## Overview\nBatch-1-Prompt-Bibliothek für die KI-gestützte Massen-Generierung komplexer, frontend-only HTML5-Apps im DVAG-Berater-Umfeld: Finanzplanung, Investment, Versicherung, Immobilien, Berater-CRM, Steuer/Recht, Altersvorsorge, Konzern-Dashboards, Kunden-Self-Service und Training. 10 Kategorien à 10 Prompts, jeder Prompt production-ready formuliert (App-Name, Tech-Stack, Feature-Liste, Use-Case).\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße\n- 2500+ Zeilen Code\n- 250+ Components\n- 8+ GSAP-Animationen\n- Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts + D3.js + GSAP + LocalStorage/IndexedDB\n\n## Kategorie 1: FINANZPLANUNG & BERATUNGSTOOLS\n\n1. **#1** — erstelle ein DVAG Kundenfinanzplanungs-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 360° Finanzübersicht mit Einnahmen/Ausgaben Sankey Diagram (D3.js), Vermögensaufbau Timeline 30 Jahre (ApexCharts Area Chart), Cashflow-Waterfall Monatlich (ApexCharts Waterfall), Schuldenabbau-Simulator mit Snowball vs Avalanche Vergleich, Notgroschen-Rechner 3-6 Monate Expenses, Asset Allocation Pie Chart mit Rebalancing Alerts, Steuerbelastung Visualizer progressive Steuersätze, Sparziel-Tracker mit Meilenstein-Badges, PDF-Export Finanzplan DVAG-Branding, Offline-Modus IndexedDB, Dark Mode, GSAP Page Transitions, Mobile Touch Gestures - USE CASE: DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus\n\n2. **#2** — entwickle einen DVAG Haushaltsbudget-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budget-Kategorien Manager (Housing, Transport, Food, Insurance, Entertainment etc.), Ausgaben-Tracking mit Chart.js Donut Charts, 50/30/20 Rule Visualizer (Needs/Wants/Savings), Trendanalyse Monatlich/Jährlich (ApexCharts Line Charts), Budgetüberschreitungs-Alerts mit Push Notifications API, Vergleich zu Durchschnitt nach Haushaltsgröße und Region, Variable vs Fixed Expenses Breakdown, Saisonale Ausgaben-Muster Heatmap (D3.js), Einsparungspotenzial-Finder AI-basiert, CSV Import/Export, GSAP Animations, Responsive Mobile-First - USE CASE: Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights\n\n3. **#3** — programmiere ein DVAG Einkommensströme-Visualizer Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multiple Income Streams Tracker (W2, Freelance, Dividends, Rental, Business), Income Diversification Score Calculator, Passive vs Active Income Ratio (ApexCharts Radial Bar), Income Growth Projection 10 Jahre (D3.js Multi-Line Chart), Einkommensstabilität-Analyse Volatility Index, Tax Impact Calculator per Income Stream, Side Hustle ROI Analyzer, Income Funnel Visualizer (D3.js Sankey), Monatliche Income Distribution Heatmap, Jahresvergleich Income Mix, GSAP Counter Animations, PWA Offline Support - USE CASE: Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency\n\n4. **#4** — baue ein DVAG Lebensstandard-Planer Retirement - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Retirement Lifestyle Calculator, Inflationsanpassung 2-3% jährlich automatisch, Healthcare Cost Projector im Alter, Travel & Leisure Budget Planner, Housing Downsizing Calculator, Longevity Risk Analyzer bis 100 Jahre, Social Security Timing Optimizer (früh vs spät), Renten-Lücken-Rechner mit Visualization (ApexCharts Gap Chart), Lifestyle Inflation Tracker, Bucket Strategy Planner (Short/Mid/Long Term), Geographic Arbitrage Calculator Umzug Low-Cost Areas, GSAP Timeline Scroll Animations - USE CASE: Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken\n\n5. **#5** — erstelle einen DVAG Familien-Finanzplaner Multi-Generation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Family Tree Visualizer mit Finanzzielen (D3.js Hierarchical Layout), Bildungsfinanzierung-Calculator pro Kind (College/Uni Costs), Generational Wealth Transfer Simulator, Erbschaftssteuer-Optimierer, Life Insurance Needs Calculator ganze Familie, Notfallplan Financial Emergency Kit, Income Loss Protection Analysis, Family Budget Consolidator alle Haushaltsmitgliber, Kids Financial Education Tracker Taschengeld & Sparen, Großeltern zu Enkel Transfer 529 Plans, GSAP Family Tree Animations, Collaborative Editing Multi-User - USE CASE: Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert\n\n6. **#6** — entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Nettovermögen-Tracker Assets minus Liabilities (ApexCharts Gauge), Asset Breakdown Real Estate/Stocks/Bonds/Cash/Crypto/Business (D3.js Treemap), Liability Details Mortgages/Student Loans/Credit Cards/Car Loans, Net Worth Timeline Historisch & Projektiert (ApexCharts Combo Chart), Debt-to-Asset Ratio Calculator, Liquidity Ratio Analyzer, Vermögensstruktur nach Risiko Low/Medium/High, Rebalancing Recommendations, Tax-Loss Harvesting Opportunities, Estate Value for Inheritance Planning, GSAP Number Counter Animations, Auto-Refresh Dashboard - USE CASE: Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit\n\n7. **#7** — programmiere einen DVAG Notfall-Finanzplan Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Emergency Fund Size Calculator 3-6-12 Monate, Job Loss Income Replacement Simulator, Medical Emergency Cost Estimator, Home Repair Emergency Fund, Auto Breakdown Reserve, Legal Emergency Fund, Income Continuity Plan bei Ausfall, Expense Cutting Roadmap Prioritized (D3.js Flow Diagram), Insurance Coverage Gap Analysis, Quick Access Liquidity Checker, Emergency Contact Financial Info Vault, Scenario Planner What-If Analysis, GSAP Alert Animations, Print Emergency Plan PDF - USE CASE: Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan\n\n8. **#8** — baue ein DVAG Finanzielle-Freiheit-Roadmap Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FI Number Calculator 25x Annual Expenses, Current vs Target Networth Gap (ApexCharts Progress Bar), Savings Rate Optimizer 10% bis 70%, Years to FI Calculator mit Compound Interest, Coast FI Calculator wann genug investiert, Barista FI Teil-Retirement Planner, Lean vs Fat FI Lifestyle Chooser, Geographic Arbitrage Impact, Side Hustle Addition Impact, Investment Return Scenarios 5%/7%/10% (D3.js Monte Carlo), Withdrawal Strategy 4% Rule vs Variable, Sequence of Returns Risk Visualizer, GSAP Milestone Animations - USE CASE: Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien\n\n9. **#9** — erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lifetime Earnings Calculator Start bis Rente, Gehaltserhöhungs-Projektion 3-5% jährlich, Career Path Comparator Angestellt vs Selbständig vs Beamter, Bildungsinvestition ROI Calculator Master/PhD vs Direkt arbeiten, Job-Wechsel Timing Optimizer maximale Earnings, Branchenwechsel Financial Impact, Geographic Location Salary Adjuster, Remote Work Income Opportunities, Skill Premium Calculator zusätzliche Qualifikationen, Promotion Impact Visualizer, Gender Pay Gap Analyzer, Career Plateau Identifier, GSAP Career Timeline Animations - USE CASE: Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings\n\n10. **#10** — entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multi-Goal Tracker (Notfonds, Altersvorsorge, Eigenheim, Auto, Urlaub, Bildung), Goal Priority Ranker Eisenhower Matrix (D3.js Scatter Plot), Progress Bars mit Milestone Badges, Savings Velocity Meter wie schnell zum Ziel (ApexCharts Speedometer), Goal Interdependency Visualizer (D3.js Network Graph), Motivation Boosters Achievement System, Social Sharing Progress optional, Automatic Savings Allocator zu Goals, Goal Conflict Resolver bei Budget-Limits, Celebration Animations GSAP bei erreichten Meilensteinen, Timeline View alle Goals (D3.js Gantt), Retrospective Goal Analysis was funktioniert - USE CASE: Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking\n\n## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS\n\n11. **#11** — erstelle ein DVAG Portfolio-Analyzer Advanced Professional - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Portfolio Holdings Table sortable/filterable, Asset Allocation Donut Chart Aktien/Anleihen/Immobilien/Cash/Alternative (ApexCharts), Sector Allocation Breakdown (D3.js Treemap), Geographic Diversification World Map (D3.js Geo), Performance Attribution Analysis, Risk Metrics Volatility/Sharpe/Sortino/Max Drawdown, Correlation Matrix Heatmap Assets (D3.js), Rebalancing Calculator mit Band-Width 5%, Tax-Aware Rebalancing, Portfolio Overlap Detector bei mehreren Depots, Factor Exposure Value/Growth/Momentum, Benchmark Comparison S&P500/MSCI World, GSAP Chart Transitions - USE CASE: Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap\n\n12. **#12** — entwickle einen DVAG ETF-Sparplan-Optimizer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Selektor nach Kriterien TER/Tracking Difference/Volumen/Replizierung, Core-Satellite Strategie Builder 70/30 bis 90/10, Sparrate-Calculator monatlich/quartalsweise, Compound Interest Simulator 30 Jahre (ApexCharts Area Chart), Rebalancing Frequency Optimizer jährlich vs quartalsweise, Tax-Optimized ETF Selection Thesaurierend vs Ausschüttend Deutschland, Ausschüttungsrendite-Tracker, Cost Comparison Broker-Gebühren TER Impact, Index-Wahl MSCI World vs FTSE All-World vs S&P500, Small Cap Value Tilt Calculator, Emerging Markets Allocation, Dividend ETF vs Growth ETF Comparison, GSAP Scroll Animations - USE CASE: Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau\n\n13. **#13** — programmiere ein DVAG Dividenden-Portfolio-Builder Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dividend Aristocrats Screener 25+ Jahre Erhöhungen, Dividend Yield vs Growth Matrix (D3.js Scatter Plot), Payout Ratio Safety Analyzer, Dividend Growth Rate Calculator CAGR, Forward Dividend Income Projector 10 Jahre (ApexCharts), Dividend Calendar Zahlungstermine (D3.js Timeline), DRIP Reinvestment Impact Calculator, Sector Diversification Dividends, International Dividend Stocks Withholding Tax, Dividend Tax Treatment Deutschland Teilfreistellung, Dividend Safety Score Composite, Yield on Cost Tracker, Monthly Dividend Income Builder, GSAP Dividend Payment Animations - USE CASE: Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus\n\n14. **#14** — baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Crypto Holdings Tracker BTC/ETH/Altcoins mit Live-Preisen Mock-API, Portfolio Allocation Pie Chart (ApexCharts), Volatility Tracker 30-Day Rolling (ApexCharts Candlestick), Crypto Correlation Matrix (D3.js Heatmap), Bitcoin Dominance Indicator, DCA Dollar-Cost-Averaging Calculator, Tax-Loss Harvesting Crypto Deutschland, Cold Wallet Allocation Empfehlung, Crypto Risk Score Volatility-Based, Altcoin Exposure Warnings, Stablecoin Reserve Optimizer, Crypto Fear & Greed Index Display, Blockchain Transaction Visualizer (D3.js Network), GSAP Price Change Animations - USE CASE: Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization\n\n15. **#15** — erstelle einen DVAG Anleihen-Portfolio-Manager Professional - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bond Ladder Visualizer 1-30 Jahre Laufzeiten (D3.js Gantt), Yield-to-Maturity Calculator, Duration & Convexity Analyzer, Interest Rate Risk Simulator Rising/Falling Rates, Credit Rating Breakdown AAA bis Junk (ApexCharts Stacked Bar), Municipal Bonds Tax-Equivalent Yield, Corporate Bonds vs Government Bonds Spread, Inflation-Protected TIPS Calculator, Callable Bonds Risk Analyzer, Bond Allocation nach Alter Glide Path, Coupon Payment Calendar, Bond Fund vs Individual Bonds Comparison, GSAP Bond Maturity Animations - USE CASE: Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield\n\n16. **#16** — entwickle ein DVAG Alternative-Investments-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alternative Assets Tracker Gold/Commodities/Art/Wine/Collectibles, Real Estate Crowdfunding Portfolio, Private Equity Holdings, Peer-to-Peer Lending Returns, Correlation zu Traditional Assets (D3.js Heatmap), Liquidity Risk Analyzer Lock-Up Periods, Alternative Investment Allocation 5-20% Portfolio, Inflation Hedge Calculator Gold/Commodities, Vintage Performance Tracker Wine Investment, NFT Portfolio Tracker optional, Hedge Fund Allocation, Venture Capital Exposure, GSAP Alternative Asset Animations - USE CASE: Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio\n\n17. **#17** — programmiere einen DVAG Faktor-Investing-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Factor Exposure Analyzer Value/Growth/Momentum/Quality/Low Volatility/Size, Faktor-Prämien Historical Returns (ApexCharts Multi-Line), Portfolio Factor Loading (D3.js Radar Chart), Factor Timing Indicators, Multi-Factor Portfolio Builder, Factor Correlation Matrix, Smart Beta ETF Selector, Factor Concentration Risk, Value Spread Indicator günstig vs teuer, Momentum Ranking System, Quality Score Composite, Size Premium Small vs Large Cap, GSAP Factor Visualization Animations - USE CASE: Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns\n\n18. **#18** — baue ein DVAG Rebalancing-Planner mit Tax-Optimization - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Target Allocation Comparison (ApexCharts Radar), Drift Analyzer wie weit von Target (D3.js Bar Chart Deviation), Rebalancing Trade Calculator minimale Trades, Tax-Lot Optimizer Highest Cost Basis zuerst, Wash Sale Rule Checker, Capital Gains Impact Estimator Short vs Long-Term, Rebalancing Frequency Optimizer, Threshold-Based Rebalancing 5%/10%/20% Bands, Cash Flow Rebalancing mit neuen Beiträgen, Asset Location Optimizer Taxable vs Tax-Deferred, Transaction Cost Minimizer, Rebalancing History Tracker, GSAP Trade Animations - USE CASE: Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing\n\n19. **#19** — erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: DCA vs Lump Sum Comparison Historisch (ApexCharts Line Chart), Monte Carlo Simulation 1000 Runs (D3.js Distribution), Volatility Impact auf DCA, DCA Schedule Optimizer monatlich/wöchentlich/täglich, Market Timing Failure Visualizer, Bear Market DCA Advantage, Psychological Benefit Score DCA, Automated Investment Plan Builder, Cost Basis Tracking, DCA Performance verschiedene Assets, Scenario Planner Bull/Bear/Sideways Market, Historical Backtest S&P500 40 Jahre, GSAP DCA Purchase Animations - USE CASE: Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren\n\n20. **#20** — entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historical Factor Performance 1930-2024 (ApexCharts Multi-Line), Value Premium Tracker HML High-Minus-Low, Size Premium SMB Small-Minus-Big, Momentum Premium UMD Up-Minus-Down, Quality Premium RMW Robust-Minus-Weak, Factor Drawdown Analysis, Factor Cyclicality Bull vs Bear Markets, Multi-Factor Portfolio Backtester, Sharpe Ratio Comparison Factors, Factor Regression Analyzer, Long Dry Spells Identifier Value Lost Decade, Factor Diversification Benefit, GSAP Historical Chart Animations - USE CASE: Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data\n\n## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE\n\n21. **#21** — erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Human Life Value Calculator Einkommen kapitalisiert, DIME Method Debt/Income/Mortgage/Education, Needs-Based Analysis Family Income Replacement, Term Life vs Whole Life Comparison (ApexCharts Bar Chart), Laddering Strategy Visualizer 10/20/30 Jahre (D3.js Timeline), Premium Calculator Alter/Gesundheit/Betrag, Benefit Calculator Todesfall-Summe, Mortgage Protection Analyzer, Children Education Fund Bedarf, Final Expenses Bestattung, Income Replacement Duration bis Rente, Inflation Adjuster Kaufkraft, Coverage Gap Identifier Unterversicherung, GSAP Insurance Needs Animations - USE CASE: Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance\n\n22. **#22** — entwickle einen DVAG Berufsunfähigkeits-Rechner Professional - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: BU-Renten-Bedarf Calculator 60-80% Nettoeinkommen, Versorgungslücken-Analyse gesetzlich vs privat, Berufsgruppen-Risiko-Bewertung (D3.js Risk Matrix), Leistungsdauer bis 67 Jahre, Dynamik-Option Inflation Protection, Prämien-Vergleich mit/ohne Dynamik (ApexCharts), Abstract vs Konkrete Verweisung Impact, Gesundheitsfragen-Simulator, Ausschlüsse & Einschränkungen Visualizer, Wartezeit & Karenzzeit Erklärer, BU-Rente steuerliche Behandlung, Nachversicherungsgarantie Wert-Rechner, GSAP Risk Animations - USE CASE: Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung\n\n23. **#23** — programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: PKV vs GKV Lifetime Cost Comparison (ApexCharts Line Chart), Einkommensschwelle Wechsel PKV 66.600€, Familienplanung Impact Kinder GKV kostenlos, Selbstbehalt-Optimizer 300€ bis 2000€, Beitragsrückerstattung Calculator, Altersrückstellungen PKV Visualizer, Beitragsentwicklung Prognose 40 Jahre, Leistungsvergleich Einzelzimmer/Chefarzt, Zusatzversicherungen Bedarf Zahn/Brille/Heilpraktiker, Auslandsreise-Krankenversicherung, Pflegepflichtversicherung, Wechsel-Szenarien zurück in GKV, GSAP Comparison Animations - USE CASE: Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung\n\n24. **#24** — baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassische Rentenversicherung vs Fondsgebundene Comparison, Garantiezins Impact 0.25% aktuell, Überschussbeteiligung Historical, Fondspolice Performance-Szenarien 4%/6%/8% (ApexCharts), Kosten-Transparenz Effektivkosten, Ablaufleistung Calculator, Lebenslange Rente vs Kapital-Option, Dynamik-Option bei Rentenpolicen, Hinterbliebenenschutz Rentengarantiezeit, Berufsunfähigkeits-Zusatzversicherung in Police, Steuerliche Behandlung Ertragsanteil, Riester/Rürup Integration möglich, GSAP Renten-Animations - USE CASE: Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz\n\n25. **#25** — erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rechtsschutz-Bereiche Checker Privat/Beruf/Verkehr/Wohnen/Steuer, Risiko-Assessment nach Lebenssituation (D3.js Risk Matrix), Selbstbeteiligung-Optimizer 150€ bis 500€, Deckungssummen-Empfehlung, Wartezeit-Erklärer 3 Monate, Leistungsausschlüsse Visualizer, Mediation-Option, Strafrechtsschutz Verkehr, Arbeitsrechtsschutz Kündigung, Mietrechtsschutz Vermieter/Mieter, Steuerrechtsschutz Finanzamt, Familienrechtsschutz, GSAP Rechtsbereich Animations - USE CASE: Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang\n\n26. **#26** — entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Hausrat-Wert-Ermittlung Pauschal 650€/m², Einzelbewertung Möbel/Elektronik/Schmuck/Kunst, Unterversicherung-Risiko Visualizer (ApexCharts Gauge), Versicherungssummen-Empfehlung, Wertsachen-Grenze 20% Standard, Fahrrad-Diebstahl Nachts draußen, Elementarschaden-Zusatz Hochwasser/Starkregen, Glasbruch-Versicherung, Grobe Fahrlässigkeit Mitversichert, Neuwert vs Zeitwert Erstattung, Hausrat im Ausland Urlaub, Prämien-Vergleich verschiedene Summen, GSAP Value Counter Animations - USE CASE: Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme\n\n27. **#27** — programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadenfreiheitsklasse-Tracker SF 0 bis SF 35, Selbstbeteiligung-Optimizer Vollkasko/Teilkasko (ApexCharts Break-Even), Rabatt-Maximizer Garage/Wenigfahrer/Partner, Schadenfreiheitsrabatt-Retter bei Schaden, Typklasse & Regionalklasse Info, Neuwert-Entschädigung GAP-Versicherung, Werkstattbindung Rabatt vs Flexibilität, Mallorca-Police Ausland, Fahrerschutz-Versicherung, Telematik-Tarife Score-Based, Versicherungswechsel-Timing Stichtag 30.11., Prämien-Entwicklung Projection (D3.js), GSAP Car Animations - USE CASE: Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl\n\n28. **#28** — baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflegegrad-Erklärer 1 bis 5, Pflegekosten-Rechner Heim vs Ambulant (ApexCharts Stacked Bar), Pflegelücke gesetzlich vs privat, Tagegeld-Bedarfsermittlung, Pflege-Bahr geförderte Versicherung, Dynamik-Option Leistungsanpassung, Wartezeit 5 Jahre Standard, Leistung bei Demenz, Assistance-Leistungen Organisation, Einmalzahlung bei Pflegefall, Pflege-Rente lebenslang, Angehörigen-Pflege Unterstützung, GSAP Pflege-Level Animations - USE CASE: Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt\n\n29. **#29** — erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Laddering Strategy Builder 3-5 Policen (D3.js Timeline), Bedarf-Reduktion über Zeit Hypothek abbezahlt/Kinder erwachsen, Premium-Optimizer gestaffelte Laufzeiten billiger, Coverage Amount pro Stufe Calculator, Term Length Optimizer 10/15/20/25/30 Jahre, Gesamt-Prämie Laddering vs Single Policy (ApexCharts), Return of Premium Option Kosten, Convertibility Option zu Whole Life, Contestability Period 2 Jahre, Suicide Clause, Medical Exam vs No-Exam Policies, Laddering Visualization interactive (D3.js), GSAP Ladder Animations - USE CASE: Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung\n\n30. **#30** — entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Versicherungen Übersicht Leben/BU/Kranken/Haftpflicht/Hausrat/Kfz/Rechtsschutz, Prämien-Summe monatlich/jährlich (ApexCharts Pie Chart Anteil), Coverage Gaps Identifier Unterversicherung, Overlap Detector Doppelversicherung, Versicherungs-Optimierungspotenzial, Policen-Ablauf Kalender wichtige Termine, Schadenfall-Melde-Assistent, Vertrags-Dokumente Vault, Beneficiary Management Begünstigte, Insurance Score Gesamtbewertung, Cost-Benefit Ratio Calculator, Versicherungs-Checkliste Lebensphase, GSAP Portfolio Animations - USE CASE: Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten\n\n## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG\n\n31. **#31** — erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Annuitäten-Darlehen Calculator Zinssatz/Tilgung/Laufzeit, Tilgungsplan-Visualizer 30 Jahre Monat für Monat (D3.js), Forward-Darlehen Planer Zinsbindung 5/10/15/20 Jahre, Sondertilgungs-Impact Simulator jährlich 5%, Anschlussfinanzierungs-Rechner nach Zinsbindung, Eigenkapital-Optimizer 10% bis 30%, Nebenkosten-Rechner Notar/Grunderwerbsteuer/Makler, Haushaltsrechnung Belastungsgrenze 40% Netto, Förderkredit KfW-Darlehen Integration, Kaufpreis vs Miete Comparison 30 Jahre (ApexCharts), Wertsteigerung Immobilie Projection, GSAP Loan Amortization Animations - USE CASE: Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent\n\n32. **#32** — entwickle einen DVAG Mietrendite-Calculator Buy-to-Let - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Mietrendite Calculator Jahresnettokaltmiete/Kaufpreis, Netto-Mietrendite nach Kosten Hausgeld/Instandhaltung/Verwaltung, Eigenkapitalrendite mit Fremdfinanzierung Leverage, Cashflow-Rechner monatlich (ApexCharts Waterfall), Cap Rate Calculator, Cash-on-Cash Return, Loan-to-Value Ratio, Vacancy Rate Impact 5-10%, Property Management Kosten, Maintenance Reserve 1% Kaufpreis jährlich, Property Tax Grundsteuer, Rental Income Growth 2% jährlich, GSAP Rendite Animations - USE CASE: Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten\n\n33. **#33** — programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichswertverfahren Rechner ähnliche Objekte, Ertragswertverfahren Vermietete Objekte Kapitalisierung, Sachwertverfahren Substanzwert, Lage-Bewertungs-Matrix Mikro/Makro-Lage (D3.js Heatmap), Ausstattungs-Score Standard/Gehoben/Luxus, Zustand-Bewertung Modernisierungsbedarf, Grundstücks-Bewertung Bodenrichtwert, Marktwert-Ermittlung nach WertV, Verkehrswert-Gutachten Simulator, Wertsteigerungspotenzial Prognose, Objektvergleich Side-by-Side bis 5 Immobilien, GSAP Valuation Animations - USE CASE: Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert\n\n34. **#34** — baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zinsbindungs-Strategie Chooser 5/10/15/20/25/30 Jahre, Variable vs Fixed Rate Comparison, Split-Strategie 50% fix + 50% variabel, Forward-Darlehen Timing Optimizer, Zinsentwicklungs-Szenarien steigend/fallend/konstant (ApexCharts), Restschuld-Entwicklung verschiedene Strategien (D3.js Multi-Line), Sondertilgungs-Rechte 5-10% jährlich, Volltilger-Darlehen Laufzeit-Reduktion, KfW-Förderkredite kombinieren, Bereitstellungszins-Vermeidung, Vorfälligkeitsentschädigung Calculator bei Kündigung, GSAP Strategy Comparison Animations - USE CASE: Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz\n\n35. **#35** — erstelle ein DVAG Immobilien-Investment-Analyzer ROI - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: ROI Calculator Return on Investment Total, IRR Internal Rate of Return Calculation, NPV Net Present Value Discounted Cashflows, Payback Period Calculator, Equity Multiple Rechner, Total Return inkl. Wertsteigerung + Cashflow (ApexCharts), Tax Benefits Abschreibung AfA 2-3% jährlich, Leverage Impact 80% Fremdfinanzierung, Exit Strategy Analyzer Verkauf nach 10/15/20 Jahren, Market Appreciation verschiedene Szenarien 2-5%, Inflation Impact Real Returns, Opportunity Cost vs Aktien ETF Comparison, GSAP ROI Animations - USE CASE: Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits\n\n36. **#36** — entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kaufen vs Mieten 30-Jahre-Vergleich Total Cost (ApexCharts Line Chart), Opportunity Cost Calculator Eigenkapital in ETF investiert, Maintenance Cost Eigenheim 1% jährlich, Property Tax vs keine bei Miete, Transaction Costs Kauf/Verkauf Notar/Makler, Mobility Flexibility Score Miete höher, Forced Savings Eigenheim, Leverage Benefit Eigenkapital-Rendite, Home Equity Build-up (D3.js Area Chart), Rent vs Buy Break-Even Point, Market Scenarios Immobilienpreise steigen/fallen, Emotional Benefits Eigenheim, GSAP Comparison Animations - USE CASE: Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete\n\n37. **#37** — programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundstückskosten Budget, Baukosten Quadratmeterpreis 1500-3000€, Baunebenkosten 15-20% Architekt/Statiker/Bauantrag, Außenanlagen Garten/Einfahrt/Zaun, Eigenleistung-Kalkulator Muskelhypothek, Kostenpuffer 10-15% Unvorhergesehenes, Finanzierungskosten während Bauphase Bereitstellungszins, Förderung KfW 40/40+ Zuschüsse, Bauzeit-Planer Monate bis Fertigstellung (D3.js Gantt Chart), Zahlungsplan nach Baufortschritt, Abnahme-Kosten Gutachter, Innenausstattung Küche/Bäder, GSAP Budget Build-up Animations - USE CASE: Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung\n\n38. **#38** — baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Property Dashboard alle Immobilien (D3.js Map Locations), Portfolio Performance ROI/Cashflow gesamt, Loan-to-Value Ratio Portfolio, Diversifikation Score Geographic/Property Type, Total Equity Build-up alle Properties, Vacancy Rates Tracking, Maintenance Issues Tracker, Tenant Management pro Property, Rental Income Streams (ApexCharts Stacked Area), Property Appreciation Timeline, Debt Service Coverage Ratio, Portfolio Rebalancing Recommendations Verkauf/Kauf, GSAP Multi-Property Animations - USE CASE: Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral\n\n39. **#39** — erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Renovierungs-Maßnahmen ROI Küche/Bad/Dach/Fenster/Heizung, Cost vs Value Report verschiedene Projekte (ApexCharts Bar Chart), Wertsteigerung Percentage pro Maßnahme, Energy Efficiency Upgrades KfW-Förderung, Curb Appeal Projects Vorgarten/Fassade, Kitchen Remodel ROI 60-80%, Bathroom Remodel ROI 50-70%, Roof Replacement ROI, HVAC System Upgrade, Window Replacement Energy Savings, Prioritization Matrix Impact vs Cost (D3.js Scatter), Financing Options Modernisierungskredit, GSAP Renovation Animations - USE CASE: Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI\n\n40. **#40** — entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Refinancing Calculator neuer Zins vs aktuell, Break-Even Point Refinanzierung-Kosten vs Savings (ApexCharts), Vorfälligkeitsentschädigung Calculator bei vorzeitiger Ablösung, Cash-Out Refinancing Option Equity herausnehmen, Rate-and-Term Refinancing, Interest-Only to Principal-Interest Switch, ARM to Fixed Rate Conversion, Loan Term Reduction 30 zu 15 Jahre, Closing Costs Estimate Notar/Grundbuch, Monthly Payment Reduction (D3.js Comparison), Lifetime Interest Savings, Market Timing Zinsentwicklung, GSAP Refinancing Animations - USE CASE: Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung\n\n## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM\n\n41. **#41** — erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kunden-Datenbank sortable/filterable/searchable, Contact Management Telefon/Email/Adresse, Kundenlebenszyklus-Status Interessent/Neukunde/Bestandskunde/Inaktiv (D3.js Funnel), Produktbesitz-Matrix Kunde x Produkte, Cross-Sell Opportunities Identifier, Nächste Kontakt-Termine Kalender, Geburtstags-Reminder, Vertragsablauf-Alerts, Notes & Communication History, Customer Lifetime Value Berechnung, Kundensegmentierung ABC-Analyse, Referral Tracking Empfehlungen, GSAP CRM Animations - USE CASE: DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up\n\n42. **#42** — entwickle einen DVAG Provisions-Tracker mit Forecasting - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Provisions-Dashboard monatlich/quartalsweise/jährlich (ApexCharts Column Chart), Produktarten-Mix Lebensversicherung/BU/Fonds/Immobilien, Bestands-Provisionen vs Abschluss-Provisionen, Provisions-Forecast basierend auf Pipeline, Commission Structure Visualizer Staffelung nach Volumen, YTD Year-to-Date Tracking, Quota Attainment Prozent vom Ziel, Leaderboard Ranking im Team, Top Producers Analyse, Revenue per Client Calculation, Churn Rate Impact auf Bestandsprovisionen, Seasonal Patterns Heatmap (D3.js), GSAP Commission Counter Animations - USE CASE: DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix\n\n43. **#43** — programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kalender-Ansicht Tag/Woche/Monat, Termin-Buchung mit Kundenauswahl, Termin-Typen Erstgespräch/Beratung/Jahresgespräch/Vertragsabschluss, Zeitslot-Blocker für Admin-Zeit, Erinnerungs-System 24h/1h vor Termin, No-Show Tracking, Doppelbuchung-Prevention, Travel Time Calculator zwischen Terminen, Kundenwunsch-Zeitfenster, Meeting Notes Attachment, Follow-up Task Creation nach Termin, Google Calendar Sync Mock, GSAP Calendar Animations - USE CASE: DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung\n\n44. **#44** — baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sales Funnel Visualizer Leads/Qualifiziert/Proposal/Negotiation/Closed (D3.js Funnel Chart), Conversion Rates pro Stage, Deal Value in Pipeline Total, Weighted Pipeline Wahrscheinlichkeit × Wert, Average Sales Cycle Tage von Lead zu Close, Win Rate Calculator Abschlussquote, Lead Source Tracking Empfehlung/Kaltakquise/Event/Online, Pipeline Velocity wie schnell Deals durchlaufen, Lost Reasons Analysis warum verloren, Sales Activities Calls/Meetings/Proposals, Top Deals highlighting, Pipeline Health Score, GSAP Funnel Animations - USE CASE: DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline\n\n45. **#45** — erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dokumenten-Upload Verträge/Ausweise/Einkommensnachweise, Dokumenten-Kategorisierung Versicherung/Investment/Steuer/Immobilien, Verschlüsselung Mock Sicherheit, Versions-Kontrolle Dokumente, Ablaufdatum-Tracking Ausweisdokumente, OCR Mock Text-Extraktion, Volltextsuche in Dokumenten, Sharing-Links zeitlich begrenzt, Audit Trail wer hat wann zugegriffen, Storage Quota Visualizer (ApexCharts Gauge), Backup & Export Funktion, Compliance DSGVO-konform, GSAP Document Upload Animations - USE CASE: DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen\n\n46. **#46** — entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Communication Timeline alle Touchpoints Telefon/Email/SMS/WhatsApp/persönlich (D3.js Timeline), Kontakt-Frequenz Tracking, Last Contact Date Reminder, Communication Preferences Kunde bevorzugt Email/Telefon, Email Template Library, SMS Bulk-Versand Geburtstage, WhatsApp Business Integration Mock, Call Notes pro Gespräch, Email Open/Click Tracking Mock, Response Time Analyzer, Follow-up Reminder Engine, Communication Volume Heatmap (D3.js), GSAP Message Animations - USE CASE: DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle\n\n47. **#47** — programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Beratungsprotokoll-Generator nach §34f GewO, Compliance-Checkliste alle Pflichtangaben, Risikoklassen-Ermittlung Kunde, Geeignetheits-Prüfung Produkt vs Kunde Match, Beratungsnachweis-PDF automatisch, Dokumentationspflicht-Erfüller, Haftungsrisiko-Minimizer, Widerrufsbelehrung Generator, Produktinformationsblatt Attachment, Vergütung-Offenlegung Pflicht, Beratungsfehler-Vermeidung, Quality Score pro Beratung (ApexCharts Radar), GSAP Compliance Animations - USE CASE: DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation\n\n48. **#48** — baue ein DVAG Berater-Performance-Dashboard Analytics - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Dashboard Abschlüsse/Umsatz/Neukundenrate/Cross-Sell-Quote, Monatliche Performance Trends (ApexCharts Line Charts), Ziel vs Ist Comparison, Product Mix Analysis Diversifikation, Customer Acquisition Cost Calculator, Customer Lifetime Value, Retention Rate Bestandskunden, Referral Rate Empfehlungsquote, Activities Metrics Calls/Meetings/Proposals pro Woche, Time Management Analyse produktive vs administrative Zeit, Peer Comparison anonymisiert, Growth Rate YoY Year-over-Year, GSAP KPI Counter Animations - USE CASE: DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance\n\n49. **#49** — erstelle ein DVAG Lead-Scoring-System Priorisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead Scoring Model demografisch/verhaltensbezogen/firmografisch, Score Calculation 0-100 Punkte, Lead Grade A/B/C/D basierend auf Score (D3.js Scatter Plot Score vs Engagement), Behavioral Signals Website-Besuche/Email-Opens/Content-Downloads, Demographic Factors Alter/Einkommen/Familie, Firmographic Factors Branche/Unternehmensgröße bei B2B, Engagement Level Interaktionen, Buying Intent Signals, Negative Scoring Disqualifiers, Lead Source Quality Rating, Automated Lead Assignment basierend auf Score, Lead Nurturing Recommendations, GSAP Lead Score Animations - USE CASE: DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads\n\n50. **#50** — entwickle einen DVAG Berater-Academy-Progress-Tracker Training - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainings-Fortschritt Dashboard alle Kurse, Skill-Bewertung Radar Chart (ApexCharts) Produkte/Compliance/Sales/Soft Skills, Zertifikate Tracker IHK/Sachkundenachweise, Weiterbildungs-Pflicht 15h jährlich, Learning Path Visualizer vom Einstieg zum Senior Berater (D3.js Tree), Quiz-Scores Wissensüberprüfung, Video-Trainings Completed, Peer Learning Studiengruppen, Mentorship Program Match, Career Progression Timeline, Next Certification Reminder, CPE Continuing Professional Education Tracker, GSAP Learning Animations - USE CASE: DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team\n\n## Kategorie 6: STEUER & RECHT TOOLS\n\n51. **#51** — erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Netto-Rechner Lohnsteuer/Soli/Kirchensteuer, Steuerklassen 1-6 Auswahl, Progressionsvorbehalt Visualizer (ApexCharts Stacked Area), Grenzsteuersatz vs Durchschnittssteuersatz, Kalte Progression Impact Inflation, Abzugsfähige Kosten Werbungskosten/Sonderausgaben/außergewöhnliche Belastungen, Steuerfreibeträge Grundfreibetrag/Kinderfreibetrag/Sparerpauschbetrag, Solidaritätszuschlag 5.5% ab 2021 Grenze, Kirchensteuer 8-9% je Bundesland, Steuererstattung Calculator, Jahressteuererklärung Simulator, Tax Bracket Visualizer (D3.js), GSAP Tax Calculation Animations - USE CASE: Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge\n\n52. **#52** — entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Abgeltungsteuer 25% + Soli 5.5% = 26.375%, Sparerpauschbetrag 1000€ Single / 2000€ Married, Freistellungsauftrag Manager mehrere Banken, Günstigerprüfung wenn persönlicher Steuersatz < 25%, Teilfreistellung Aktienfonds 30% / Mischfonds 15% / Immobilienfonds 60%, Kirchensteuer auf Kapitalerträge, Quellensteuer Ausland anrechenbar, Verlustverrechnung Aktien/Sonstige, Verlustverrechnungstopf Carry-Forward, Zinsen/Dividenden/Kursgewinne separate Töpfe, Tax-Loss Harvesting Strategie, Steueroptimierung Thesaurierend vs Ausschüttend ETF (ApexCharts), GSAP Tax Optimization Animations - USE CASE: Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal\n\n53. **#53** — programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbschaftsteuer-Calculator nach Verwandtschaftsgrad, Freibeträge Ehepartner 500k / Kinder 400k / Enkel 200k / Geschwister 20k, Steuerklassen I/II/III unterschiedliche Sätze (ApexCharts Bar Chart), Stufentarif 7% bis 50%, Selbstgenutzte Immobilie steuerfrei Ehepartner/Kinder unter Bedingungen, 10-Jahres-Regel mehrfache Schenkungen, Nießbrauch-Rechner Wert-Minderung, Kettenschenkung Optimierung Eltern→Kinder→Enkel, Berliner Testament Steuernachteil, Günstigere Varianten Vermögen verteilen, Erbschaftsteuer-Optimierungs-Strategien (D3.js Flow), GSAP Inheritance Animations - USE CASE: Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung\n\n54. **#54** — baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schenkungsteuer identisch mit Erbschaftsteuer Freibeträge/Sätze, 10-Jahres-Frist-Tracker Freibeträge alle 10 Jahre erneut, Schenkungsplan-Optimizer Vermögensübertragung über 30 Jahre (D3.js Timeline), Kettenschenkung Eltern→Kinder→Enkel doppelte Freibeträge, Nießbrauch-Vorbehalt Schenkung mit Nutzungsrecht, Wohnrecht-Eintragung Immobilienschenkung, Rückforderungsvorbehalt wenn Beschenkter vorverstirbt, Schenkung unter Auflage Pflege im Alter, Gemischte Schenkung Teil entgeltlich, Taggenaue Berechnung 10-Jahres-Frist, Steuerersparnis-Visualizer Schenkung vs Erbe (ApexCharts), GSAP Gift Planning Animations - USE CASE: Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie\n\n55. **#55** — erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: VL-Betrag Arbeitgeber max 40€/Monat, Arbeitnehmersparzulage 20% auf Aktien-VL (max 400€ VL → 80€ Zulage), Einkommensgrenzen Ledige 40.000€ / Verheiratete 80.000€, VL-Anlagemöglichkeiten Bausparvertrag/Aktien-Fondssparplan/Banksparplan, Sperrfrist 7 Jahre, VL-Fondssparplan Rendite-Projektion (ApexCharts Line Chart), Arbeitgeberzuschuss + Sparzulage + Rendite = Total Benefit, VL vs selbst sparen Comparison, Steuerfreie Einzahlung des Arbeitgebers, Zulageantrag automatisch vs manuell, VL-Rechner verschiedene Szenarien (D3.js), GSAP VL Animations - USE CASE: Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat\n\n56. **#56** — entwickle einen DVAG Riester-Renten-Rechner Förderquote - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Riester-Zulagen Grundzulage 175€/Jahr + Kinderzulage 300€/Kind, Mindesteigenbeitrag 4% Bruttoeinkommen minus Zulagen, Sockelbeitrag 60€/Jahr Minimum, Steuerliche Förderung Sonderausgabenabzug max 2100€, Günstigerprüfung Zulage vs Steuervorteil, Förderquote Calculator Zulagen/Eigenbeitrag, Riester-Produktvergleich Versicherung/Fondssparplan/Banksparplan/Wohn-Riester, Zulagenantrag Permanent-Zulagenantrag, Schädliche Verwendung Auszahlung vor Rente, Nachgelagerte Besteuerung Rentenbezug, Riester vs ETF-Sparplan Vergleich (ApexCharts), GSAP Riester Animations - USE CASE: Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen\n\n57. **#57** — programmiere ein DVAG Rürup-Renten-Rechner Selbständige - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rürup-Basisrente für Selbständige/Freiberufler, Steuerliche Absetzbarkeit 2024: 100% von max 27.566€ (Ledige) / 55.132€ (Verheiratete), Steuervorteil-Rechner nach persönlichem Steuersatz, Nachgelagerte Besteuerung in Rente, Rürup vs private Altersvorsorge Vergleich (ApexCharts), Kapitalwahlrecht nicht möglich nur lebenslange Rente, Hartz-IV-sicher Pfändungsschutz, Vererbung nicht möglich außer Hinterbliebenenrente, Zusatzbausteine BU/Hinterbliebenenabsicherung, Rürup-Produktvergleich Versicherung vs Fondssparplan, Rendite-Projektion (D3.js), GSAP Rürup Animations - USE CASE: Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis\n\n58. **#58** — baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: bAV-Durchführungswege Direktversicherung/Pensionskasse/Pensionsfonds/Direktzusage/Unterstützungskasse, Entgeltumwandlung Brutto zu bAV Steuer- und Sozialversicherungsfrei, Fördergrenze 2024: 8% BBG = 7.248€ sv-frei / 4% BBG darüber hinaus steuerfrei, Arbeitgeberzuschuss Pflicht 15% bei Sozialversicherungsersparnis, Steuerersparnis durch Bruttoumwandlung (ApexCharts Waterfall), Nachgelagerte Besteuerung + Krankenversicherung in Rente, Portabilität bei Arbeitgeberwechsel, Riester-Förderung zusätzlich möglich, bAV vs private Altersvorsorge Comparison, Unverfallbarkeit nach 3 Jahren, GSAP bAV Animations - USE CASE: Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung\n\n59. **#59** — erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Jahresendrallye Steueroptimierung November/Dezember, Sonderausgaben vorziehen Versicherungen/Spenden/Riester, Werbungskosten maximieren Arbeitszimmer/Fortbildung/Fachliteratur, Außergewöhnliche Belastungen Krankheitskosten/Pflegekosten, Handwerkerleistungen 20% abzugsfähig max 1200€, Haushaltsnahe Dienstleistungen 20% max 4000€, Verlustverrechnung realisieren Tax-Loss Harvesting, Abschreibungen Immobilien AfA, Investitionsabzugsbetrag Selbständige, Sonderabschreibung degressive AfA, Steueroptimierungs-Checkliste (D3.js Flow Diagram), Steuerersparnis-Potential Calculator (ApexCharts), GSAP Year-End Planning Animations - USE CASE: Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung\n\n60. **#60** — entwickle einen DVAG Steuererklärung-Assistent Deutschland - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Steuererklärung-Wizard Schritt-für-Schritt, Anlage N Einkünfte nichtselbständige Arbeit, Anlage KAP Kapitaleinkünfte, Anlage V Vermietung Verpachtung, Anlage AV Altersvorsorge Riester/Rürup, Werbungskosten-Pauschalen vs Einzelnachweis, Entfernungspauschale 30 Cent/km, Arbeitszimmer-Rechner, Verpflegungsmehraufwand Dienstreisen, Doppelte Haushaltsführung, Fortbildungskosten, Steuererstattung-Prognose (ApexCharts Gauge), ELSTER Mock-Export, Abgabefrist-Reminder 31.7., GSAP Form Fill Animations - USE CASE: Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung\n\n## Kategorie 7: ALTERSVORSORGE & RENTE\n\n61. **#61** — erstelle ein DVAG Rentenlücken-Rechner Deutschland - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesetzliche Rente Estimator basierend auf Entgeltpunkten, Rentenniveau aktuell 48% sinkt auf 43%, Versorgungslücke Current Lifestyle vs Gesetzliche Rente (ApexCharts Gap Chart), 3-Schichten-System gesetzlich/betrieblich/privat Visualizer (D3.js Stacked Area), Inflationsbereinigung Kaufkraft im Alter, Lebenserwartung Calculator Durchschnitt + 10 Jahre Sicherheit, Zusätzlicher Kapitalbedarf bis Lebensende, Sparrate-Berechnung um Lücke zu schließen, Rentenbeginn-Optimizer 63/65/67/70 Jahre Abschläge/Zuschläge, Teilrente in Kombi mit Teilzeit, Steuer auf Rente Ertragsanteil 2040: 100%, GSAP Gap Visualization Animations - USE CASE: Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar\n\n62. **#62** — entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schicht 1 Basisversorgung Gesetzliche Rente/Rürup, Schicht 2 Zusatzversorgung bAV/Riester, Schicht 3 Kapitalanlage private Renten/ETF/Immobilien, Gesamtrenten-Projektion alle Schichten (ApexCharts Stacked Column), Optimale Schichtung nach Steuersituation, Schicht-Priorisierung für verschiedene Berufsgruppen Angestellt/Beamte/Selbständig, Tax Treatment jeder Schicht in Anspar & Auszahlphase, Flexibilität Score Verfügbarkeit Kapital, Förderquoten-Vergleich Riester/Rürup/bAV, Diversifikation über Schichten (D3.js Sankey Flow), Asset Allocation Altersvorsorge, GSAP 3-Layer Animations - USE CASE: Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix\n\n63. **#63** — programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelaltersgrenze nach Geburtsjahrgang 65-67 Jahre, Früherer Rentenbeginn ab 63 mit Abschlägen 0.3% pro Monat, Rente mit 63 nach 45 Beitragsjahren ohne Abschlag, Späterer Rentenbeginn Zuschläge 0.5% pro Monat, Break-Even Analyse früh vs spät (ApexCharts Line Chart Crossover), Lebenserwartung Impact auf Break-Even, Gesundheitszustand-Faktor, Weiterarbeiten-Rentability neben Teilrente, Hinzuverdienst-Grenzen vor Regelaltersgrenze, Rentenbesteuerung unterschiedlich je Eintrittsalter, Optimaler Rentenbeginn Calculator (D3.js Decision Tree), GSAP Retirement Age Animations - USE CASE: Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit\n\n64. **#64** — baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 4% Rule Calculator Trinity Study, Variable Withdrawal Strategies Guyton-Klinger, Dynamic Spending Adjustments Market-Based, Withdrawal Rate Simulator 3%/4%/5% (ApexCharts Monte Carlo), Portfolio Longevity bis 95/100 Jahre, Sequence of Returns Risk Visualizer frühe Bear Markets (D3.js), Inflation-Adjusted Withdrawals 2-3%, Tax-Efficient Withdrawal Order Taxable/Tax-Deferred/Tax-Free, Required Minimum Distributions RMDs ab 73 Jahre, Social Security Timing Integration, Bucket Strategy Cash/Bonds/Stocks, Failure Rate Probability Portfolio Depletion, GSAP Withdrawal Animations - USE CASE: Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung\n\n65. **#65** — erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entgeltpunkte-Berechnung Brutto/Durchschnitt, Rentenwert aktuell 39.32€ (West) / 39.32€ (Ost) seit 2024, Rentenformel Entgeltpunkte × Zugangsfaktor × Rentenartfaktor × Rentenwert, Versicherungsverlauf Simulation Jahre, Durchschnittsentwicklung Gehälter, Rentenhöhe-Projektion (ApexCharts Column Chart), Rentenanpassung 1-2% jährlich, Mütterrente Kindererziehungszeiten, Erwerbsminderungsrente, Hinterbliebenenrente Witwen/Waisen, Rentenauskunft Checker, Deutsche Rentenversicherung Info-Integration, GSAP Pension Calculation Animations - USE CASE: Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt\n\n66. **#66** — entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Altersvorsorge-Produkte Matrix ETF/Riester/Rürup/bAV/private Rente/Immobilien, Rendite vs Sicherheit Scatter Plot (D3.js), Liquidität vs Rendite Trade-Off, Steuerliche Förderung Ranking, Kosten-Transparenz TER/Effektivkosten, Flexibilität Score Verfügbarkeit, Diversifikation über Produkttypen, Alters-Glide-Path 100-Alter Aktienquote, Rebalancing verschiedene Produkte, Risk-Adjusted Return Sharpe Ratio, Altersvorsorge-Empfehlung basierend auf Profil (ApexCharts Radar), GSAP Product Mix Animations - USE CASE: Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen\n\n67. **#67** — programmiere ein DVAG Pension-Gap-Analyzer Expatriates International - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sozialversicherungsabkommen Deutschland mit Ländern, Rentenansprüche mehrere Länder kombinieren, EU-Koordinierung Rentenansprüche, Pension Totalization Agreements USA/Canada/Australia, Versorgungslücke bei Auslandsaufenthalten, Private International Pension Solutions, Currency Risk Renten in anderer Währung, Tax Treatment Cross-Border Pensions DBA Doppelbesteuerungsabkommen, Gesetzliche Rente Export-Fähigkeit, Expat Retirement Strategies, Ländervergleich Rentensysteme (D3.js World Map), GSAP International Pension Animations - USE CASE: Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung\n\n68. **#68** — baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentenbesteuerung Gesetzliche Rente Besteuerungsanteil 2024: 83% steigt auf 100% bis 2040, Rentenfreibetrag einmalige Festsetzung bei Rentenbeginn, Altersentlastungsbetrag für andere Einkünfte im Alter, Grundfreibetrag 2024: 11.604€, Krankenversicherung Rentner KVdR, Pflegeversicherung Rentner, Steuerpflicht-Checker Rente über Grundfreibetrag, Private Rentenversicherung Ertragsanteilsbesteuerung je nach Rentenbeginn-Alter, Riester-Rente nachgelagerte Vollversteuerung, Rürup-Rente nachgelagerte Vollversteuerung, Nettorentenrechner nach Steuern (ApexCharts Waterfall), GSAP Tax on Pension Animations - USE CASE: Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen\n\n69. **#69** — erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundsicherung im Alter Bedarf 2024 ca. 950€/Monat, Altersarmut-Schwelle 60% Median-Einkommen, Risikogruppen Mini-Jobber/Selbständige ohne Altersvorsorge/Alleinerziehende/Langzeitarbeitslose, Erwerbsbiografie-Lücken Impact, Teilzeit-Arbeit Rentenauswirkungen, Gender Pension Gap Frauen, Scheidung Impact Versorgungsausgleich, Gesundheitskosten im Alter, Pflegekosten-Risiko, Altersarmut-Wahrscheinlichkeit Calculator (ApexCharts Gauge), Präventions-Maßnahmen Altersvorsorge aufbauen, GSAP Poverty Risk Animations - USE CASE: Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen\n\n70. **#70** — entwickle einen DVAG Renten-Splitting-Rechner Ehepaare - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentensplitting unter Ehegatten, Versorgungsausgleich bei Scheidung, Partner-Rente Hinterbliebenenversorgung, Witwenrente 55%/60% der Rente des Verstorbenen, Eigene Rente angerechnet auf Witwenrente, Freibetrag Witwenrente, Große vs Kleine Witwenrente, Rentenkürzung bei Wiederheirat, Splitting vs Witwenrente Comparison (ApexCharts), Erziehungszeiten Anrechnung, Rentenoptimierung Ehepaare Einzeln vs Gesamt, Tax Optimization Ehegatten-Splitting, GSAP Couple Pension Animations - USE CASE: Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien\n\n## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT\n\n71. **#71** — erstelle ein DVAG Konzern-Performance-Dashboard Executive - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Overview Umsatz/Neugeschäft/Bestand/Mitarbeiter, Regional Performance Deutschland-Karte (D3.js Geo Choropleth), Top Regions Ranking, Produktmix-Analyse Leben/BU/Fonds/Immobilien (ApexCharts Stacked Column), YoY Growth Rate Year-over-Year, Monthly Trends Charts, Berater-Produktivität Durchschnitt, Customer Acquisition Cost, Customer Lifetime Value, Churn Rate Bestandskunden, Market Share Visualizer, Strategic Goals vs Actuals (D3.js Bullet Charts), GSAP Executive Dashboard Animations - USE CASE: DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance\n\n72. **#72** — entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertriebs-Organisationen Hierarchie Visualizer (D3.js Org Chart), Team-Leaderboard Top Performers, Individual Performance Scorecards, Sales Targets vs Actuals, Commission Tracking pro Berater, Activity Metrics Calls/Meetings/Proposals, Conversion Rates Funnel, Cross-Sell Ratio, Retention Rate Team, Recruiting Success neue Berater, Training Completion Rate, Performance Distribution Histogram (ApexCharts), Team Collaboration Score, GSAP Team Performance Animations - USE CASE: Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse\n\n73. **#73** — programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Neugeschäft-Volumen Daily/Weekly/Monthly (ApexCharts Real-Time Line Chart), Produktarten-Split, Durchschnittliche Vertragssumme, Anzahl Abschlüsse, Top Berater Neugeschäft, Regional Distribution Neugeschäft (D3.js Map), Neugeschäft Forecast basierend auf Pipeline, Saisonalität-Analyse Heatmap, Campaign Performance Marketing-Kampagnen, Lead-to-Close Rate, Time-to-Close Average, New Business Quality Score, GSAP New Business Animations - USE CASE: DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg\n\n74. **#74** — baue ein DVAG Bestandsgeschäft-Analyzer Retention - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestandsvolumen Total nach Produktarten, Retention Rate jährlich (ApexCharts Line Chart), Churn Rate Kündigungen, Lapse Ratio Stornoquote, Premium Persistency Beitragstreue, Policy Persistency Vertragstreue, Storno-Gründe Analyse, At-Risk Customers Identifier Kündigungsrisiko, Bestandspflege-Aktivitäten, Cross-Sell Opportunities im Bestand, Policen-Erhöhungen Dynamik, Bestandsprovisionen Forecast, GSAP Retention Animations - USE CASE: DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification\n\n75. **#75** — erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Recruiting Funnel Leads/Interviews/Offers/Hires (D3.js Funnel), Conversion Rate pro Stage, Source of Hires Referrals/Events/Online/Ads, Time-to-Hire Average, Quality of Hire Metrics erste 12 Monate Performance, Retention New Hires 1-Jahres-Quote, Onboarding Completion Rate, Recruiter Productivity, Cost per Hire, Headcount Growth Netto-Wachstum (ApexCharts), Regional Recruiting Performance, Diversity Metrics, GSAP Recruiting Funnel Animations - USE CASE: DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting\n\n76. **#76** — entwickle einen DVAG Training-Effectiveness-Dashboard Academy - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Training Completion Rates alle Programme, Skill Development Tracking pre/post Tests, Certification Success Rate IHK/Sachkunde, Training ROI Performance nach Training, Course Ratings Feedback, Training Hours pro Berater, Compliance Training Mandatory, Product Knowledge Scores, Sales Skills Assessment, Soft Skills Development, Learning Path Completion (D3.js Sankey), Training Cost per Berater, GSAP Training Progress Animations - USE CASE: DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback\n\n77. **#77** — programmiere ein DVAG Customer-Satisfaction-Dashboard NPS - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Net Promoter Score NPS -100 bis +100, Customer Satisfaction Score CSAT, Customer Effort Score CES, Sentiment Analysis Reviews, Complaint Rate, Resolution Time Beschwerden, Survey Response Rate, NPS Trend über Zeit (ApexCharts Line Chart), NPS by Region/Product/Berater, Promoters vs Detractors Analysis, Feedback Themes Word Cloud (D3.js), Referral Rate aus Promoters, GSAP NPS Score Animations - USE CASE: DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse\n\n78. **#78** — baue ein DVAG Compliance-Dashboard Regulatory Monitoring - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Compliance-Rate Beratungsprotokolle 100% Ziel, Weiterbildungspflicht 15h erfüllt Berater-Quote, IHK-Zertifizierungen aktuell, Produktinformationsblätter vollständig, Datenschutz DSGVO Compliance, Geldwäsche-Prävention Schulungen, Beschwerdemanagement Response Times, Audit Findings offene vs geschlossene, Regulatory Changes Dashboard neue Gesetze (D3.js Timeline), Risk Score Compliance-Risiken (ApexCharts Gauge), Sanctions & Fines Tracking, GSAP Compliance Check Animations - USE CASE: DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation\n\n79. **#79** — erstelle ein DVAG Produkt-Performance-Dashboard Portfolio - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Produktportfolio-Übersicht Leben/BU/Kranken/Fonds/Immobilien, Sales Volume pro Produkt (ApexCharts Treemap), Profitability Margin pro Produkt, Product Life Cycle Stage Introduction/Growth/Maturity/Decline, Market Share Wettbewerb, Customer Satisfaction pro Produkt, Cross-Sell Affinity Matrix (D3.js Heatmap), Product Cannibalization Analysis, Portfolio Balance Risk/Return, New Product Launch Performance, Underperforming Products Identifier, GSAP Product Performance Animations - USE CASE: DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen\n\n80. **#80** — entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Marktanteile DVAG vs Wettbewerb Allianz/AXA/Zurich/SwissLife (ApexCharts Pie Chart), Competitive Positioning Matrix (D3.js Scatter Plot), Pricing Comparison Prämien/TER, Product Feature Comparison, Customer Acquisition Trends Markt, Digital Transformation Index Wettbewerber, Social Media Sentiment Analysis, Market Growth Rate gesamt, Regulatory Changes Impact auf Wettbewerb, Competitive Threats & Opportunities, Market Share Trends Historical (ApexCharts Area Chart), GSAP Market Intelligence Animations - USE CASE: DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren\n\n## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE\n\n81. **#81** — erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Verträge Übersicht Leben/BU/Kranken/Fonds/Immobilien, Vertragsstatus Aktiv/Ruhend/Gekündigt, Prämien-Übersicht monatlich/jährlich (ApexCharts Pie Chart), Versicherungssummen Total, Ablaufleistungen Projection, Vertrags-Details pro Police, Beitragsfreistellung Option, Policen-Erhöhung Nachversicherung, Vertragsänderungen Historie, Document Download Police/Jahresinformation, Schadenfall melden, Kontakt Berater Button, GSAP Portal Dashboard Animations - USE CASE: DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen\n\n82. **#82** — entwickle einen DVAG Fondspolice-Tracker Performance Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fondspolice-Guthaben aktuell, Fonds-Allocation Pie Chart (ApexCharts), Performance Charts 1/3/5/10 Jahre (D3.js Multi-Line), Einzahlungen vs Wertsteigerung, Cost Average Effect Visualization, Fondswechsel Self-Service Umschichtung, Dynamik-Option Beitragserhöhung, Zuzahlung einmalig, Kosten-Transparenz laufende Kosten, Ablaufleistung Projection (ApexCharts Area Chart), Steuerliche Behandlung Infos, Download Jahresbescheinigung, GSAP Fondspolice Animations - USE CASE: DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich\n\n83. **#83** — programmiere ein DVAG Schadensmeldung-Portal Digital - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadensmeldung-Formular Step-by-Step, Schadensart Auswahl Unfall/Krankheit/Kfz/Hausrat/Rechtsschutz, Upload Fotos/Belege/Gutachten, Schadennummer Tracking, Status-Verfolgung Eingegangen/Prüfung/Gutachten/Zahlung, Kommunikation mit Sachbearbeiter Chat, Zahlungsstatus Regulierung, Schadens-Historie alle vergangenen, Rückfragen-Management, Fristen-Reminder fehlende Unterlagen, Push Notifications Status-Updates, Durchschnittliche Bearbeitungszeit Info, GSAP Schadensmeldung Animations - USE CASE: DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess\n\n84. **#84** — baue ein DVAG Dokumenten-Center Self-Service Download - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Dokumente Übersicht Verträge/Jahresinformationen/Steuerbescheinigungen/Leistungsübersichten, Kategorisierung nach Dokumententyp, Zeitliche Sortierung, Suchfunktion Volltext, Download PDF einzeln/gesammelt, E-Signatur Vertragsänderungen, Postbox digitale Postbox statt Brief, Archivierung 10 Jahre gesetzlich, Upload eigene Dokumente Scans, Dokumenten-Sharing mit Berater, Neue Dokumente Notifications, Papierlos-Option, GSAP Document Download Animations - USE CASE: DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich\n\n85. **#85** — erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Beitragszahlungen Übersicht alle Verträge, Zahlungsrhythmus monatlich/quartalsweise/halbjährlich/jährlich, Bankverbindung ändern SEPA-Lastschrift, Zahlungshistorie, Zahlungsausfall-Alerts, Beitragsrückstände Mahnung, Ratenzahlung Rückstände, Beitragsanpassung Dynamik stoppen/aktivieren, Zahlungsmethode ändern Lastschrift/Überweisung, Beitragsfreistellung beantragen, Beitragszahlung aussetzen temporär, Rückforderung überzahlte Beiträge, GSAP Payment Management Animations - USE CASE: DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen\n\n86. **#86** — entwickle einen DVAG Termin-Buchung-Portal Self-Service - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Berater-Kalender Verfügbarkeit, Termin-Buchung Self-Service Datum/Uhrzeit, Terminart Beratung/Jahresgespräch/Vertragsabschluss, Video-Call vs Persönlich vs Telefon, Standort-Auswahl Geschäftsstelle/Kunde, Agenda-Setting Gesprächsthemen, Erinnerung 24h/1h vor Termin, Termin verschieben/absagen Self-Service, Berater-Profil Foto/Bio, Wartezeit-Info durchschnittlich, Meeting-Link Video-Call, Termin-Historie vergangene Gespräche, GSAP Booking Animations - USE CASE: DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand\n\n87. **#87** — programmiere ein DVAG Adress-Änderungs-Portal Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Adresse ändern alle Verträge auf einmal, Telefonnummer ändern, E-Mail-Adresse ändern, Familienstand ändern Heirat/Scheidung, Namensänderung nach Heirat, Kontopfändung melden, Bezugsrechtsänderung Begünstigte, Kinder hinzufügen Geburt, Kinder entfernen Volljährigkeit, Arbeitgeber-Wechsel melden, Änderungs-Historie, Bestätigung E-Mail, Automatische Aktualisierung aller Verträge, GSAP Address Change Animations - USE CASE: DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates\n\n88. **#88** — baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestehende Policen Upload/Import, Bedarfsanalyse-Fragebogen Lebenssituation, Coverage Gap Analysis Unterversicherung (ApexCharts Gap Chart), Overlap Detection Doppelversicherung, Optimierungspotenzial Prämien sparen, Produktempfehlungen basierend auf Gaps, Lebensphasen-Check Anpassungsbedarf, Risiko-Score aktueller Schutz (D3.js Gauge), Vergleich zu Empfehlung Soll vs Ist, Beratungstermin vorschlagen bei Gaps, PDF-Report Police-Check Ergebnis, Jährlicher Police-Check Reminder, GSAP Policy Check Animations - USE CASE: DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check\n\n89. **#89** — erstelle ein DVAG FAQ & Chatbot-Portal Self-Service - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FAQ-Kategorien Verträge/Schaden/Zahlung/Änderungen, Suchfunktion Freitext, Chatbot Mock Conversations häufige Fragen, Guided Navigation Decision Tree, Video-Tutorials How-To, Glossar Versicherungsbegriffe, Contact Escalation zu Berater bei komplexen Fragen, Kontaktformular, Telefon-Hotline Info, E-Mail Support, FAQ-Feedback hilfreich/nicht hilfreich, Popular Topics Trending, Chatbot-Analytics häufigste Fragen (ApexCharts), GSAP Chatbot Animations - USE CASE: DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot\n\n90. **#90** — entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budgetplaner Einnahmen/Ausgaben, Sparziel-Tracker Notgroschen/Urlaub/Auto, Rentenlücken-Rechner Self-Service, Immobilienfinanzierung-Rechner, Versicherungsbedarf-Calculator Leben/BU, Investment-Rechner ETF-Sparplan, Steuer-Rechner Brutto/Netto, Altersvorsorge-Planner 3 Schichten, Finanz-Ziele Priorisierung, Fortschritt-Tracking Goals, Beratungsempfehlung bei komplexen Zielen, PDF-Export Finanzplan, GSAP Financial Planning Animations - USE CASE: DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung\n\n## Kategorie 10: TRAINING & ONBOARDING APPS\n\n91. **#91** — erstelle ein DVAG Onboarding-Dashboard Neue Berater - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Onboarding-Progress Timeline 90 Tage (D3.js Gantt Chart), Pflicht-Trainings Checklist Produkte/Compliance/Sales/IT, Video-Kurse Completion Rate, Quiz-Scores Wissensüberprüfung, IHK-Prüfung Vorbereitung, Sachkundeprüfung §34f GewO, Mentorship Pairing, Buddy-System Support, First Sales Milestone 5 Abschlüsse, Certifications Earned Badges (ApexCharts Progress Bars), Manager Check-Ins Termine, Feedback Surveys, GSAP Onboarding Progress Animations - USE CASE: DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation\n\n92. **#92** — entwickle einen DVAG Produkt-Training-Simulator Interactive - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Produkt-Katalog alle DVAG-Produkte Leben/BU/Fonds/Immobilien, Interactive Product Explorer Features/Kosten/Zielgruppe, Vergleichs-Tool Produkte Side-by-Side, Sales Pitch Templates, Objection Handling Scenarios, Competitive Comparison Wettbewerb, Tarif-Rechner Integration, Produktwissen-Quiz pro Produkt, Zertifikate pro Produktkategorie, Best Practices Success Stories, Update-Notifications neue Produkte, Learning Path Produktspezialist (D3.js), GSAP Product Training Animations - USE CASE: DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator\n\n93. **#93** — programmiere ein DVAG Sales-Skills-Training Rollenspiele - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sales Methodology SPIN Selling/Challenger/Solution Selling, Rollenspiel-Szenarien Erstgespräch/Einwandbehandlung/Abschluss, Video-Recording Mock Pitches, Peer Feedback, Self-Assessment Rubrics, Sales Skills Radar Chart (ApexCharts) Rapport/Discovery/Presentation/Closing, Objection Library 50+ Einwände mit Antworten, Call Script Builder, Elevator Pitch Generator, Negotiation Tactics, Closing Techniques, Practice Score Tracking (D3.js), GSAP Sales Roleplay Animations - USE CASE: DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training\n\n94. **#94** — baue ein DVAG Compliance-Training-Platform Pflichtschulungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflichtschulungen Geldwäsche/Datenschutz/Beratungsprotokoll/Produktinformationspflicht, E-Learning Modules Video+Text+Quiz, Compliance-Quiz Bestehen 80% minimum, Zertifikate Completion, Jährliche Auffrischung 15h Pflicht, Regulatory Updates neue Gesetze, Best Practices Dos and Don'ts, Case Studies Compliance-Verstöße, Audit Preparation, Compliance Score Dashboard (ApexCharts Gauge), Non-Compliance Consequences, Refresher Training Reminder, GSAP Compliance Training Animations - USE CASE: DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen\n\n95. **#95** — erstelle ein DVAG Soft-Skills-Academy Kommunikation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kommunikations-Training Active Listening/Empathy/Questioning, Konfliktmanagement Deeskalation, Verhandlungsführung Win-Win, Präsentations-Skills, Body Language Decoder, Emotional Intelligence Assessment (ApexCharts Radar), Storytelling für Sales, Rapport Building Techniques, Trust Establishment, Customer Psychology, Cultural Sensitivity, Difficult Conversations Handling, Soft Skills Score Tracking (D3.js), Practice Exercises, GSAP Soft Skills Animations - USE CASE: DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation\n\n96. **#96** — entwickle einen DVAG Digital-Tools-Training IT-Skills - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: CRM-System Training DVAG-Software, Kunden-Portal Nutzung, Dokumenten-Management System, Video-Call Tools Zoom/Teams, E-Signature Plattform, Tablet-Präsentationen iPad-Apps, Social Selling LinkedIn/Xing, Digital Marketing Basics, Cybersecurity Awareness Phishing, DSGVO Digital, Productivity Tools Kalender/To-Do, IT-Support FAQ, Digital Fluency Score (ApexCharts), GSAP Digital Tools Animations - USE CASE: DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen\n\n97. **#97** — programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: IHK-Prüfung §34f GewO Lernmaterialien, Prüfungsinhalte Versicherungsprodukte/Recht/Steuern/Beratungspflichten, Übungsfragen 1000+ Fragen, Mock-Exams Prüfungssimulation, Zeitlimit 120 Minuten, Score Tracking Fortschritt (ApexCharts Line Chart), Schwachstellen-Analyse welche Themen üben (D3.js Heatmap), Lernplan 8 Wochen strukturiert, Video-Lektionen, Prüfungsangst-Tipps, Success Rate Statistik, Zertifikat Mock bei Bestehen, GSAP Exam Prep Animations - USE CASE: DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung\n\n98. **#98** — baue ein DVAG Berater-Mentorship-Plattform Peer Learning - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mentor-Matching Senior mit Junior Berater, Mentorship Goals Setting, Meeting-Scheduler regelmäßige Check-Ins, Knowledge Sharing Best Practices, Career Development Roadmap, Skill Gap Identification, Learning Resources Empfehlungen, Feedback 360° Mentor/Mentee, Success Stories Mentorship Impact, Mentorship Program Analytics (ApexCharts), Peer Learning Groups Studiengruppen, Community Forum Q&A, GSAP Mentorship Animations - USE CASE: DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt\n\n99. **#99** — erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Micro-Lessons 5-10 Minuten Video/Text/Quiz, Daily Learning Habit 15min täglich, Mobile-First Design Learning on the Go, Push Notifications Daily Lesson, Topics Library 500+ Lessons Produkte/Sales/Compliance/Soft Skills, Gamification Points/Badges/Leaderboard, Spaced Repetition Algorithm optimale Wiederholung, Learning Streaks Consecutive Days, Social Learning Share Progress, Completion Rate Tracking (ApexCharts), Personalized Learning Path AI-basiert, Offline Download Lessons, GSAP Micro Learning Animations - USE CASE: DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition\n\n100. **#100** — entwickle einen DVAG Skill-Assessment-Center 360° Evaluation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: 360° Feedback Self/Peers/Manager/Customers, Skill Assessment Radar Chart (ApexCharts) Produkte/Sales/Compliance/Soft Skills/Digital, Competency Framework DVAG-Standards, Performance Evaluation Quarterly, Development Plan basierend auf Gaps, Strength Finder Top Talents, Career Path Recommendation, Promotion Readiness Score, Skill Gap Prioritization, Training Recommendations personalisiert, Progress Tracking Over Time (D3.js Line Chart), Coaching Sessions Buchung, GSAP Assessment Animations - USE CASE: DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps\n\n## Hinweis\nQuelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).\n",
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        "title": "100 DVAG Komplexe HTML5 App-Prompts",
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        "overview": "--- project: 100-dvag-complex-html5-app-prompts category: Prompt-Bibliothek cluster: DVAG / Finanzberatung tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, dvag, finance, insurance, crm, tax, retirement] --- # 100 DVAG Komplexe HTML5 App-Prompts ## Overview Batch-1-Prompt-Bibliothek für die KI-gestützte Massen-Generierung komplexer, frontend-only HTML5-Apps im DVAG-Berater-Umfeld: Finanzplanung, Investment, Versicherung, Immobilien, Berater-CRM, Steuer/Recht, Altersvorsorge, Konzern-Dashboards, Kunden-Self-Service und Training. 10 Kategorien à 10 Prompts, jeder Prompt production-ready formuliert (App-Name, Tech-Stack, Feature-Liste, Use-Case). ## Ziel-Komplexität - 150+ KB Dateig",
        "content": "---\nproject: 100-dvag-complex-html5-app-prompts\ncategory: Prompt-Bibliothek\ncluster: DVAG / Finanzberatung\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, dvag, finance, insurance, crm, tax, retirement]\n---\n\n# 100 DVAG Komplexe HTML5 App-Prompts\n\n## Overview\nBatch-1-Prompt-Bibliothek für die KI-gestützte Massen-Generierung komplexer, frontend-only HTML5-Apps im DVAG-Berater-Umfeld: Finanzplanung, Investment, Versicherung, Immobilien, Berater-CRM, Steuer/Recht, Altersvorsorge, Konzern-Dashboards, Kunden-Self-Service und Training. 10 Kategorien à 10 Prompts, jeder Prompt production-ready formuliert (App-Name, Tech-Stack, Feature-Liste, Use-Case).\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße\n- 2500+ Zeilen Code\n- 250+ Components\n- 8+ GSAP-Animationen\n- Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts + D3.js + GSAP + LocalStorage/IndexedDB\n\n## Kategorie 1: FINANZPLANUNG & BERATUNGSTOOLS\n\n1. **#1** — erstelle ein DVAG Kundenfinanzplanungs-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 360° Finanzübersicht mit Einnahmen/Ausgaben Sankey Diagram (D3.js), Vermögensaufbau Timeline 30 Jahre (ApexCharts Area Chart), Cashflow-Waterfall Monatlich (ApexCharts Waterfall), Schuldenabbau-Simulator mit Snowball vs Avalanche Vergleich, Notgroschen-Rechner 3-6 Monate Expenses, Asset Allocation Pie Chart mit Rebalancing Alerts, Steuerbelastung Visualizer progressive Steuersätze, Sparziel-Tracker mit Meilenstein-Badges, PDF-Export Finanzplan DVAG-Branding, Offline-Modus IndexedDB, Dark Mode, GSAP Page Transitions, Mobile Touch Gestures - USE CASE: DVAG Berater erstellen ganzheitliche Finanzpläne für Kunden mit interaktiven Visualisierungen und Simulationen, Kunden sehen 30-Jahres-Prognose ihres Vermögensaufbaus\n\n2. **#2** — entwickle einen DVAG Haushaltsbudget-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budget-Kategorien Manager (Housing, Transport, Food, Insurance, Entertainment etc.), Ausgaben-Tracking mit Chart.js Donut Charts, 50/30/20 Rule Visualizer (Needs/Wants/Savings), Trendanalyse Monatlich/Jährlich (ApexCharts Line Charts), Budgetüberschreitungs-Alerts mit Push Notifications API, Vergleich zu Durchschnitt nach Haushaltsgröße und Region, Variable vs Fixed Expenses Breakdown, Saisonale Ausgaben-Muster Heatmap (D3.js), Einsparungspotenzial-Finder AI-basiert, CSV Import/Export, GSAP Animations, Responsive Mobile-First - USE CASE: Berater analysieren Kundenbudgets und identifizieren Sparpotenziale, Kunden optimieren Ausgabenverhalten mit datenbasierten Insights\n\n3. **#3** — programmiere ein DVAG Einkommensströme-Visualizer Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multiple Income Streams Tracker (W2, Freelance, Dividends, Rental, Business), Income Diversification Score Calculator, Passive vs Active Income Ratio (ApexCharts Radial Bar), Income Growth Projection 10 Jahre (D3.js Multi-Line Chart), Einkommensstabilität-Analyse Volatility Index, Tax Impact Calculator per Income Stream, Side Hustle ROI Analyzer, Income Funnel Visualizer (D3.js Sankey), Monatliche Income Distribution Heatmap, Jahresvergleich Income Mix, GSAP Counter Animations, PWA Offline Support - USE CASE: Berater zeigen Kunden Bedeutung von Income Diversification, Self-Employed optimieren Income Mix für Stabilität und Tax Efficiency\n\n4. **#4** — baue ein DVAG Lebensstandard-Planer Retirement - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Retirement Lifestyle Calculator, Inflationsanpassung 2-3% jährlich automatisch, Healthcare Cost Projector im Alter, Travel & Leisure Budget Planner, Housing Downsizing Calculator, Longevity Risk Analyzer bis 100 Jahre, Social Security Timing Optimizer (früh vs spät), Renten-Lücken-Rechner mit Visualization (ApexCharts Gap Chart), Lifestyle Inflation Tracker, Bucket Strategy Planner (Short/Mid/Long Term), Geographic Arbitrage Calculator Umzug Low-Cost Areas, GSAP Timeline Scroll Animations - USE CASE: Berater planen Rentner-Lifestyle mit Kunden und zeigen Finanzierungsbedarf, Pre-Retirees sehen realistische Ruhestandskosten und Deckungslücken\n\n5. **#5** — erstelle einen DVAG Familien-Finanzplaner Multi-Generation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Family Tree Visualizer mit Finanzzielen (D3.js Hierarchical Layout), Bildungsfinanzierung-Calculator pro Kind (College/Uni Costs), Generational Wealth Transfer Simulator, Erbschaftssteuer-Optimierer, Life Insurance Needs Calculator ganze Familie, Notfallplan Financial Emergency Kit, Income Loss Protection Analysis, Family Budget Consolidator alle Haushaltsmitgliber, Kids Financial Education Tracker Taschengeld & Sparen, Großeltern zu Enkel Transfer 529 Plans, GSAP Family Tree Animations, Collaborative Editing Multi-User - USE CASE: Berater entwickeln Multi-Generation Finanzstrategien für Familien, Familien koordinieren Bildungsfinanzierung und Wealth Transfer steueroptimiert\n\n6. **#6** — entwickle ein DVAG Vermögensbilanz-Dashboard Echtzeit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Nettovermögen-Tracker Assets minus Liabilities (ApexCharts Gauge), Asset Breakdown Real Estate/Stocks/Bonds/Cash/Crypto/Business (D3.js Treemap), Liability Details Mortgages/Student Loans/Credit Cards/Car Loans, Net Worth Timeline Historisch & Projektiert (ApexCharts Combo Chart), Debt-to-Asset Ratio Calculator, Liquidity Ratio Analyzer, Vermögensstruktur nach Risiko Low/Medium/High, Rebalancing Recommendations, Tax-Loss Harvesting Opportunities, Estate Value for Inheritance Planning, GSAP Number Counter Animations, Auto-Refresh Dashboard - USE CASE: Berater monitoren Kundenvermögen ganzheitlich, High Net Worth Individuals tracken komplexes Asset Portfolio in Echtzeit\n\n7. **#7** — programmiere einen DVAG Notfall-Finanzplan Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Emergency Fund Size Calculator 3-6-12 Monate, Job Loss Income Replacement Simulator, Medical Emergency Cost Estimator, Home Repair Emergency Fund, Auto Breakdown Reserve, Legal Emergency Fund, Income Continuity Plan bei Ausfall, Expense Cutting Roadmap Prioritized (D3.js Flow Diagram), Insurance Coverage Gap Analysis, Quick Access Liquidity Checker, Emergency Contact Financial Info Vault, Scenario Planner What-If Analysis, GSAP Alert Animations, Print Emergency Plan PDF - USE CASE: Berater erstellen Notfallpläne für Kunden mit verschiedenen Szenarien, Familien sind finanziell vorbereitet auf Notfälle mit klarem Action Plan\n\n8. **#8** — baue ein DVAG Finanzielle-Freiheit-Roadmap Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FI Number Calculator 25x Annual Expenses, Current vs Target Networth Gap (ApexCharts Progress Bar), Savings Rate Optimizer 10% bis 70%, Years to FI Calculator mit Compound Interest, Coast FI Calculator wann genug investiert, Barista FI Teil-Retirement Planner, Lean vs Fat FI Lifestyle Chooser, Geographic Arbitrage Impact, Side Hustle Addition Impact, Investment Return Scenarios 5%/7%/10% (D3.js Monte Carlo), Withdrawal Strategy 4% Rule vs Variable, Sequence of Returns Risk Visualizer, GSAP Milestone Animations - USE CASE: Berater zeigen FIRE-Strategien für Financial Independence, Millennials berechnen eigenen Weg zur finanziellen Freiheit mit verschiedenen Szenarien\n\n9. **#9** — erstelle ein DVAG Karriere-Einkommens-Projektor Lifetime - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lifetime Earnings Calculator Start bis Rente, Gehaltserhöhungs-Projektion 3-5% jährlich, Career Path Comparator Angestellt vs Selbständig vs Beamter, Bildungsinvestition ROI Calculator Master/PhD vs Direkt arbeiten, Job-Wechsel Timing Optimizer maximale Earnings, Branchenwechsel Financial Impact, Geographic Location Salary Adjuster, Remote Work Income Opportunities, Skill Premium Calculator zusätzliche Qualifikationen, Promotion Impact Visualizer, Gender Pay Gap Analyzer, Career Plateau Identifier, GSAP Career Timeline Animations - USE CASE: Berater beraten zu Karriereentscheidungen mit Financial Impact, Young Professionals optimieren Karriereweg für maximales Lifetime Earnings\n\n10. **#10** — entwickle einen DVAG Finanz-Ziele-Tracker mit Gamification - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Multi-Goal Tracker (Notfonds, Altersvorsorge, Eigenheim, Auto, Urlaub, Bildung), Goal Priority Ranker Eisenhower Matrix (D3.js Scatter Plot), Progress Bars mit Milestone Badges, Savings Velocity Meter wie schnell zum Ziel (ApexCharts Speedometer), Goal Interdependency Visualizer (D3.js Network Graph), Motivation Boosters Achievement System, Social Sharing Progress optional, Automatic Savings Allocator zu Goals, Goal Conflict Resolver bei Budget-Limits, Celebration Animations GSAP bei erreichten Meilensteinen, Timeline View alle Goals (D3.js Gantt), Retrospective Goal Analysis was funktioniert - USE CASE: Berater motivieren Kunden mit gamified Goal Tracking, Familien erreichen Finanz-Ziele spielerisch mit Achievement System und Progress Tracking\n\n## Kategorie 2: INVESTMENT & PORTFOLIO TOOLS\n\n11. **#11** — erstelle ein DVAG Portfolio-Analyzer Advanced Professional - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Portfolio Holdings Table sortable/filterable, Asset Allocation Donut Chart Aktien/Anleihen/Immobilien/Cash/Alternative (ApexCharts), Sector Allocation Breakdown (D3.js Treemap), Geographic Diversification World Map (D3.js Geo), Performance Attribution Analysis, Risk Metrics Volatility/Sharpe/Sortino/Max Drawdown, Correlation Matrix Heatmap Assets (D3.js), Rebalancing Calculator mit Band-Width 5%, Tax-Aware Rebalancing, Portfolio Overlap Detector bei mehreren Depots, Factor Exposure Value/Growth/Momentum, Benchmark Comparison S&P500/MSCI World, GSAP Chart Transitions - USE CASE: Berater analysieren Kundenportfolios professionell mit Risk Metrics, Investoren optimieren Diversifikation und reduzieren Overlap\n\n12. **#12** — entwickle einen DVAG ETF-Sparplan-Optimizer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Selektor nach Kriterien TER/Tracking Difference/Volumen/Replizierung, Core-Satellite Strategie Builder 70/30 bis 90/10, Sparrate-Calculator monatlich/quartalsweise, Compound Interest Simulator 30 Jahre (ApexCharts Area Chart), Rebalancing Frequency Optimizer jährlich vs quartalsweise, Tax-Optimized ETF Selection Thesaurierend vs Ausschüttend Deutschland, Ausschüttungsrendite-Tracker, Cost Comparison Broker-Gebühren TER Impact, Index-Wahl MSCI World vs FTSE All-World vs S&P500, Small Cap Value Tilt Calculator, Emerging Markets Allocation, Dividend ETF vs Growth ETF Comparison, GSAP Scroll Animations - USE CASE: Berater bauen optimale ETF-Sparpläne für Kunden Low-Cost, DIY-Investoren wählen beste ETF-Kombination für langfristigen Vermögensaufbau\n\n13. **#13** — programmiere ein DVAG Dividenden-Portfolio-Builder Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dividend Aristocrats Screener 25+ Jahre Erhöhungen, Dividend Yield vs Growth Matrix (D3.js Scatter Plot), Payout Ratio Safety Analyzer, Dividend Growth Rate Calculator CAGR, Forward Dividend Income Projector 10 Jahre (ApexCharts), Dividend Calendar Zahlungstermine (D3.js Timeline), DRIP Reinvestment Impact Calculator, Sector Diversification Dividends, International Dividend Stocks Withholding Tax, Dividend Tax Treatment Deutschland Teilfreistellung, Dividend Safety Score Composite, Yield on Cost Tracker, Monthly Dividend Income Builder, GSAP Dividend Payment Animations - USE CASE: Berater bauen Dividend Income Portfolios für Rentner, Passive Income Investoren maximieren nachhaltige Dividendenerträge mit Safety Focus\n\n14. **#14** — baue ein DVAG Krypto-Portfolio-Tracker mit Risiko-Analyse - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Crypto Holdings Tracker BTC/ETH/Altcoins mit Live-Preisen Mock-API, Portfolio Allocation Pie Chart (ApexCharts), Volatility Tracker 30-Day Rolling (ApexCharts Candlestick), Crypto Correlation Matrix (D3.js Heatmap), Bitcoin Dominance Indicator, DCA Dollar-Cost-Averaging Calculator, Tax-Loss Harvesting Crypto Deutschland, Cold Wallet Allocation Empfehlung, Crypto Risk Score Volatility-Based, Altcoin Exposure Warnings, Stablecoin Reserve Optimizer, Crypto Fear & Greed Index Display, Blockchain Transaction Visualizer (D3.js Network), GSAP Price Change Animations - USE CASE: Berater informieren tech-affine Kunden über Krypto-Risiken, Crypto-Investoren managen Portfolio mit Risk Awareness und Tax Optimization\n\n15. **#15** — erstelle einen DVAG Anleihen-Portfolio-Manager Professional - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bond Ladder Visualizer 1-30 Jahre Laufzeiten (D3.js Gantt), Yield-to-Maturity Calculator, Duration & Convexity Analyzer, Interest Rate Risk Simulator Rising/Falling Rates, Credit Rating Breakdown AAA bis Junk (ApexCharts Stacked Bar), Municipal Bonds Tax-Equivalent Yield, Corporate Bonds vs Government Bonds Spread, Inflation-Protected TIPS Calculator, Callable Bonds Risk Analyzer, Bond Allocation nach Alter Glide Path, Coupon Payment Calendar, Bond Fund vs Individual Bonds Comparison, GSAP Bond Maturity Animations - USE CASE: Berater bauen Bond Ladders für Rentner mit planbare Income, Conservative Investoren optimieren Anleihen-Portfolio für Sicherheit und Yield\n\n16. **#16** — entwickle ein DVAG Alternative-Investments-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alternative Assets Tracker Gold/Commodities/Art/Wine/Collectibles, Real Estate Crowdfunding Portfolio, Private Equity Holdings, Peer-to-Peer Lending Returns, Correlation zu Traditional Assets (D3.js Heatmap), Liquidity Risk Analyzer Lock-Up Periods, Alternative Investment Allocation 5-20% Portfolio, Inflation Hedge Calculator Gold/Commodities, Vintage Performance Tracker Wine Investment, NFT Portfolio Tracker optional, Hedge Fund Allocation, Venture Capital Exposure, GSAP Alternative Asset Animations - USE CASE: Berater zeigen HNW Clients Alternative Investments für Diversifikation, Sophisticated Investoren tracken Alternative Assets neben Traditional Portfolio\n\n17. **#17** — programmiere einen DVAG Faktor-Investing-Analyzer Advanced - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Factor Exposure Analyzer Value/Growth/Momentum/Quality/Low Volatility/Size, Faktor-Prämien Historical Returns (ApexCharts Multi-Line), Portfolio Factor Loading (D3.js Radar Chart), Factor Timing Indicators, Multi-Factor Portfolio Builder, Factor Correlation Matrix, Smart Beta ETF Selector, Factor Concentration Risk, Value Spread Indicator günstig vs teuer, Momentum Ranking System, Quality Score Composite, Size Premium Small vs Large Cap, GSAP Factor Visualization Animations - USE CASE: Berater implementieren faktorbasiertes Investing für Kunden, Advanced Investoren nutzen Factor Investing für Enhanced Returns\n\n18. **#18** — baue ein DVAG Rebalancing-Planner mit Tax-Optimization - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Current vs Target Allocation Comparison (ApexCharts Radar), Drift Analyzer wie weit von Target (D3.js Bar Chart Deviation), Rebalancing Trade Calculator minimale Trades, Tax-Lot Optimizer Highest Cost Basis zuerst, Wash Sale Rule Checker, Capital Gains Impact Estimator Short vs Long-Term, Rebalancing Frequency Optimizer, Threshold-Based Rebalancing 5%/10%/20% Bands, Cash Flow Rebalancing mit neuen Beiträgen, Asset Location Optimizer Taxable vs Tax-Deferred, Transaction Cost Minimizer, Rebalancing History Tracker, GSAP Trade Animations - USE CASE: Berater rebalancen Kundenportfolios tax-efficient, DIY-Investoren minimieren Tax Drag beim Rebalancing\n\n19. **#19** — erstelle ein DVAG Dollar-Cost-Averaging-Simulator Advanced - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: DCA vs Lump Sum Comparison Historisch (ApexCharts Line Chart), Monte Carlo Simulation 1000 Runs (D3.js Distribution), Volatility Impact auf DCA, DCA Schedule Optimizer monatlich/wöchentlich/täglich, Market Timing Failure Visualizer, Bear Market DCA Advantage, Psychological Benefit Score DCA, Automated Investment Plan Builder, Cost Basis Tracking, DCA Performance verschiedene Assets, Scenario Planner Bull/Bear/Sideways Market, Historical Backtest S&P500 40 Jahre, GSAP DCA Purchase Animations - USE CASE: Berater zeigen DCA-Vorteile für ängstliche Investoren, Beginner verstehen Risikominimierung durch systematisches Investieren\n\n20. **#20** — entwickle einen DVAG Faktor-Prämien-Backtest-Tool Historical - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historical Factor Performance 1930-2024 (ApexCharts Multi-Line), Value Premium Tracker HML High-Minus-Low, Size Premium SMB Small-Minus-Big, Momentum Premium UMD Up-Minus-Down, Quality Premium RMW Robust-Minus-Weak, Factor Drawdown Analysis, Factor Cyclicality Bull vs Bear Markets, Multi-Factor Portfolio Backtester, Sharpe Ratio Comparison Factors, Factor Regression Analyzer, Long Dry Spells Identifier Value Lost Decade, Factor Diversification Benefit, GSAP Historical Chart Animations - USE CASE: Berater erklären Factor Investing mit Historical Evidence, Quant Investoren backtesten Multi-Factor Strategien mit Fama-French Data\n\n## Kategorie 3: VERSICHERUNGS-APPS & BEDARFSANALYSE\n\n21. **#21** — erstelle ein DVAG Lebensversicherungs-Bedarfsanalyse-Tool Komplett - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Human Life Value Calculator Einkommen kapitalisiert, DIME Method Debt/Income/Mortgage/Education, Needs-Based Analysis Family Income Replacement, Term Life vs Whole Life Comparison (ApexCharts Bar Chart), Laddering Strategy Visualizer 10/20/30 Jahre (D3.js Timeline), Premium Calculator Alter/Gesundheit/Betrag, Benefit Calculator Todesfall-Summe, Mortgage Protection Analyzer, Children Education Fund Bedarf, Final Expenses Bestattung, Income Replacement Duration bis Rente, Inflation Adjuster Kaufkraft, Coverage Gap Identifier Unterversicherung, GSAP Insurance Needs Animations - USE CASE: Berater ermitteln exakten Lebensversicherungsbedarf wissenschaftlich, Familien sehen objective Deckungssumme ohne Over/Underinsurance\n\n22. **#22** — entwickle einen DVAG Berufsunfähigkeits-Rechner Professional - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: BU-Renten-Bedarf Calculator 60-80% Nettoeinkommen, Versorgungslücken-Analyse gesetzlich vs privat, Berufsgruppen-Risiko-Bewertung (D3.js Risk Matrix), Leistungsdauer bis 67 Jahre, Dynamik-Option Inflation Protection, Prämien-Vergleich mit/ohne Dynamik (ApexCharts), Abstract vs Konkrete Verweisung Impact, Gesundheitsfragen-Simulator, Ausschlüsse & Einschränkungen Visualizer, Wartezeit & Karenzzeit Erklärer, BU-Rente steuerliche Behandlung, Nachversicherungsgarantie Wert-Rechner, GSAP Risk Animations - USE CASE: Berater zeigen BU-Notwendigkeit mit Versorgungslücken-Analyse, Selbständige und Angestellte finden passende BU-Absicherung\n\n23. **#23** — programmiere ein DVAG Krankenversicherungs-Optimierer PKV/GKV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: PKV vs GKV Lifetime Cost Comparison (ApexCharts Line Chart), Einkommensschwelle Wechsel PKV 66.600€, Familienplanung Impact Kinder GKV kostenlos, Selbstbehalt-Optimizer 300€ bis 2000€, Beitragsrückerstattung Calculator, Altersrückstellungen PKV Visualizer, Beitragsentwicklung Prognose 40 Jahre, Leistungsvergleich Einzelzimmer/Chefarzt, Zusatzversicherungen Bedarf Zahn/Brille/Heilpraktiker, Auslandsreise-Krankenversicherung, Pflegepflichtversicherung, Wechsel-Szenarien zurück in GKV, GSAP Comparison Animations - USE CASE: Berater vergleichen PKV/GKV objektiv für Kunden, Gutverdiener und Selbständige finden optimale Krankenversicherung\n\n24. **#24** — baue ein DVAG Rentenversicherungs-Analyzer Garantie vs Fondsgebunden - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassische Rentenversicherung vs Fondsgebundene Comparison, Garantiezins Impact 0.25% aktuell, Überschussbeteiligung Historical, Fondspolice Performance-Szenarien 4%/6%/8% (ApexCharts), Kosten-Transparenz Effektivkosten, Ablaufleistung Calculator, Lebenslange Rente vs Kapital-Option, Dynamik-Option bei Rentenpolicen, Hinterbliebenenschutz Rentengarantiezeit, Berufsunfähigkeits-Zusatzversicherung in Police, Steuerliche Behandlung Ertragsanteil, Riester/Rürup Integration möglich, GSAP Renten-Animations - USE CASE: Berater zeigen Unterschiede klassisch vs fondsgebunden objektiv, Kunden wählen passende Rentenversicherung basierend auf Risikotoleranz\n\n25. **#25** — erstelle ein DVAG Rechtsschutzversicherungs-Bedarfs-Tool - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rechtsschutz-Bereiche Checker Privat/Beruf/Verkehr/Wohnen/Steuer, Risiko-Assessment nach Lebenssituation (D3.js Risk Matrix), Selbstbeteiligung-Optimizer 150€ bis 500€, Deckungssummen-Empfehlung, Wartezeit-Erklärer 3 Monate, Leistungsausschlüsse Visualizer, Mediation-Option, Strafrechtsschutz Verkehr, Arbeitsrechtsschutz Kündigung, Mietrechtsschutz Vermieter/Mieter, Steuerrechtsschutz Finanzamt, Familienrechtsschutz, GSAP Rechtsbereich Animations - USE CASE: Berater analysieren Rechtsschutz-Bedarf situationsbasiert, Familien und Selbständige finden passenden Rechtsschutz-Umfang\n\n26. **#26** — entwickle einen DVAG Hausrat-Versicherungs-Calculator Unterversicherung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Hausrat-Wert-Ermittlung Pauschal 650€/m², Einzelbewertung Möbel/Elektronik/Schmuck/Kunst, Unterversicherung-Risiko Visualizer (ApexCharts Gauge), Versicherungssummen-Empfehlung, Wertsachen-Grenze 20% Standard, Fahrrad-Diebstahl Nachts draußen, Elementarschaden-Zusatz Hochwasser/Starkregen, Glasbruch-Versicherung, Grobe Fahrlässigkeit Mitversichert, Neuwert vs Zeitwert Erstattung, Hausrat im Ausland Urlaub, Prämien-Vergleich verschiedene Summen, GSAP Value Counter Animations - USE CASE: Berater vermeiden Unterversicherung bei Kunden durch exakte Wertermittlung, Hausbesitzer und Mieter finden passende Versicherungssumme\n\n27. **#27** — programmiere ein DVAG Kfz-Versicherungs-Optimizer Tarif-Vergleich - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadenfreiheitsklasse-Tracker SF 0 bis SF 35, Selbstbeteiligung-Optimizer Vollkasko/Teilkasko (ApexCharts Break-Even), Rabatt-Maximizer Garage/Wenigfahrer/Partner, Schadenfreiheitsrabatt-Retter bei Schaden, Typklasse & Regionalklasse Info, Neuwert-Entschädigung GAP-Versicherung, Werkstattbindung Rabatt vs Flexibilität, Mallorca-Police Ausland, Fahrerschutz-Versicherung, Telematik-Tarife Score-Based, Versicherungswechsel-Timing Stichtag 30.11., Prämien-Entwicklung Projection (D3.js), GSAP Car Animations - USE CASE: Berater optimieren Kfz-Versicherung für Kunden mit Rabatt-Maximierung, Autofahrer sparen Prämie durch intelligente Selbstbeteiligungs-Wahl\n\n28. **#28** — baue ein DVAG Pflegeversicherungs-Planer Pflegefall-Kosten - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflegegrad-Erklärer 1 bis 5, Pflegekosten-Rechner Heim vs Ambulant (ApexCharts Stacked Bar), Pflegelücke gesetzlich vs privat, Tagegeld-Bedarfsermittlung, Pflege-Bahr geförderte Versicherung, Dynamik-Option Leistungsanpassung, Wartezeit 5 Jahre Standard, Leistung bei Demenz, Assistance-Leistungen Organisation, Einmalzahlung bei Pflegefall, Pflege-Rente lebenslang, Angehörigen-Pflege Unterstützung, GSAP Pflege-Level Animations - USE CASE: Berater zeigen Pflegelücke und Lösungen für Absicherung, Menschen 50+ planen Pflegefall-Absicherung rechtzeitig vor Eintritt\n\n29. **#29** — erstelle ein DVAG Risikolebensversicherungs-Laddering-Tool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Laddering Strategy Builder 3-5 Policen (D3.js Timeline), Bedarf-Reduktion über Zeit Hypothek abbezahlt/Kinder erwachsen, Premium-Optimizer gestaffelte Laufzeiten billiger, Coverage Amount pro Stufe Calculator, Term Length Optimizer 10/15/20/25/30 Jahre, Gesamt-Prämie Laddering vs Single Policy (ApexCharts), Return of Premium Option Kosten, Convertibility Option zu Whole Life, Contestability Period 2 Jahre, Suicide Clause, Medical Exam vs No-Exam Policies, Laddering Visualization interactive (D3.js), GSAP Ladder Animations - USE CASE: Berater designen optimale Term Life Laddering Strategien, Familien sparen Prämien durch bedarfsgerechte gestaffelte Absicherung\n\n30. **#30** — entwickle einen DVAG Versicherungs-Portfolio-Dashboard Gesamtübersicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Versicherungen Übersicht Leben/BU/Kranken/Haftpflicht/Hausrat/Kfz/Rechtsschutz, Prämien-Summe monatlich/jährlich (ApexCharts Pie Chart Anteil), Coverage Gaps Identifier Unterversicherung, Overlap Detector Doppelversicherung, Versicherungs-Optimierungspotenzial, Policen-Ablauf Kalender wichtige Termine, Schadenfall-Melde-Assistent, Vertrags-Dokumente Vault, Beneficiary Management Begünstigte, Insurance Score Gesamtbewertung, Cost-Benefit Ratio Calculator, Versicherungs-Checkliste Lebensphase, GSAP Portfolio Animations - USE CASE: Berater managen gesamtes Versicherungs-Portfolio von Kunden zentral, Familien haben Übersicht über alle Policen und optimieren Kosten\n\n## Kategorie 4: IMMOBILIEN-TOOLS & FINANZIERUNG\n\n31. **#31** — erstelle ein DVAG Immobilienfinanzierungs-Rechner Advanced - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Annuitäten-Darlehen Calculator Zinssatz/Tilgung/Laufzeit, Tilgungsplan-Visualizer 30 Jahre Monat für Monat (D3.js), Forward-Darlehen Planer Zinsbindung 5/10/15/20 Jahre, Sondertilgungs-Impact Simulator jährlich 5%, Anschlussfinanzierungs-Rechner nach Zinsbindung, Eigenkapital-Optimizer 10% bis 30%, Nebenkosten-Rechner Notar/Grunderwerbsteuer/Makler, Haushaltsrechnung Belastungsgrenze 40% Netto, Förderkredit KfW-Darlehen Integration, Kaufpreis vs Miete Comparison 30 Jahre (ApexCharts), Wertsteigerung Immobilie Projection, GSAP Loan Amortization Animations - USE CASE: Berater kalkulieren Baufinanzierung mit verschiedenen Zins-Szenarien, Immobilienkäufer sehen monatliche Belastung und Gesamtkosten transparent\n\n32. **#32** — entwickle einen DVAG Mietrendite-Calculator Buy-to-Let - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Mietrendite Calculator Jahresnettokaltmiete/Kaufpreis, Netto-Mietrendite nach Kosten Hausgeld/Instandhaltung/Verwaltung, Eigenkapitalrendite mit Fremdfinanzierung Leverage, Cashflow-Rechner monatlich (ApexCharts Waterfall), Cap Rate Calculator, Cash-on-Cash Return, Loan-to-Value Ratio, Vacancy Rate Impact 5-10%, Property Management Kosten, Maintenance Reserve 1% Kaufpreis jährlich, Property Tax Grundsteuer, Rental Income Growth 2% jährlich, GSAP Rendite Animations - USE CASE: Berater bewerten Rendite-Immobilien für Investoren objektiv, Buy-to-Let Investoren kalkulieren Rental Yields mit allen Kosten\n\n33. **#33** — programmiere ein DVAG Immobilien-Bewertungs-Tool Vergleichswert - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichswertverfahren Rechner ähnliche Objekte, Ertragswertverfahren Vermietete Objekte Kapitalisierung, Sachwertverfahren Substanzwert, Lage-Bewertungs-Matrix Mikro/Makro-Lage (D3.js Heatmap), Ausstattungs-Score Standard/Gehoben/Luxus, Zustand-Bewertung Modernisierungsbedarf, Grundstücks-Bewertung Bodenrichtwert, Marktwert-Ermittlung nach WertV, Verkehrswert-Gutachten Simulator, Wertsteigerungspotenzial Prognose, Objektvergleich Side-by-Side bis 5 Immobilien, GSAP Valuation Animations - USE CASE: Berater ermitteln Immobilienwert für Kauf/Verkauf Beratung, Immobilieninteressenten prüfen Angebotspreis vs Marktwert\n\n34. **#34** — baue ein DVAG Baufinanzierungs-Strategie-Planer Zinsbindung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zinsbindungs-Strategie Chooser 5/10/15/20/25/30 Jahre, Variable vs Fixed Rate Comparison, Split-Strategie 50% fix + 50% variabel, Forward-Darlehen Timing Optimizer, Zinsentwicklungs-Szenarien steigend/fallend/konstant (ApexCharts), Restschuld-Entwicklung verschiedene Strategien (D3.js Multi-Line), Sondertilgungs-Rechte 5-10% jährlich, Volltilger-Darlehen Laufzeit-Reduktion, KfW-Förderkredite kombinieren, Bereitstellungszins-Vermeidung, Vorfälligkeitsentschädigung Calculator bei Kündigung, GSAP Strategy Comparison Animations - USE CASE: Berater entwickeln optimale Finanzierungsstrategien für verschiedene Zins-Szenarien, Bauherren wählen Zinsbindung basierend auf Risikotoleranz\n\n35. **#35** — erstelle ein DVAG Immobilien-Investment-Analyzer ROI - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: ROI Calculator Return on Investment Total, IRR Internal Rate of Return Calculation, NPV Net Present Value Discounted Cashflows, Payback Period Calculator, Equity Multiple Rechner, Total Return inkl. Wertsteigerung + Cashflow (ApexCharts), Tax Benefits Abschreibung AfA 2-3% jährlich, Leverage Impact 80% Fremdfinanzierung, Exit Strategy Analyzer Verkauf nach 10/15/20 Jahren, Market Appreciation verschiedene Szenarien 2-5%, Inflation Impact Real Returns, Opportunity Cost vs Aktien ETF Comparison, GSAP ROI Animations - USE CASE: Berater zeigen Immobilien-ROI vs Alternative Investments, Real Estate Investoren kalkulieren Total Return mit Tax Benefits\n\n36. **#36** — entwickle einen DVAG Eigenheim vs Miete Lifetime-Calculator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kaufen vs Mieten 30-Jahre-Vergleich Total Cost (ApexCharts Line Chart), Opportunity Cost Calculator Eigenkapital in ETF investiert, Maintenance Cost Eigenheim 1% jährlich, Property Tax vs keine bei Miete, Transaction Costs Kauf/Verkauf Notar/Makler, Mobility Flexibility Score Miete höher, Forced Savings Eigenheim, Leverage Benefit Eigenkapital-Rendite, Home Equity Build-up (D3.js Area Chart), Rent vs Buy Break-Even Point, Market Scenarios Immobilienpreise steigen/fallen, Emotional Benefits Eigenheim, GSAP Comparison Animations - USE CASE: Berater zeigen objektiven Kaufen vs Mieten Vergleich, Junge Familien entscheiden rational Eigenheim vs Flexibilität Miete\n\n37. **#37** — programmiere ein DVAG Hausbau-Budget-Planer Gesamtkosten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundstückskosten Budget, Baukosten Quadratmeterpreis 1500-3000€, Baunebenkosten 15-20% Architekt/Statiker/Bauantrag, Außenanlagen Garten/Einfahrt/Zaun, Eigenleistung-Kalkulator Muskelhypothek, Kostenpuffer 10-15% Unvorhergesehenes, Finanzierungskosten während Bauphase Bereitstellungszins, Förderung KfW 40/40+ Zuschüsse, Bauzeit-Planer Monate bis Fertigstellung (D3.js Gantt Chart), Zahlungsplan nach Baufortschritt, Abnahme-Kosten Gutachter, Innenausstattung Küche/Bäder, GSAP Budget Build-up Animations - USE CASE: Berater kalkulieren realistische Hausbau-Budgets mit Puffer, Bauherren vermeiden Kostenexplosionen durch detaillierte Planung\n\n38. **#38** — baue ein DVAG Immobilien-Portfolio-Tracker Multi-Property - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Property Dashboard alle Immobilien (D3.js Map Locations), Portfolio Performance ROI/Cashflow gesamt, Loan-to-Value Ratio Portfolio, Diversifikation Score Geographic/Property Type, Total Equity Build-up alle Properties, Vacancy Rates Tracking, Maintenance Issues Tracker, Tenant Management pro Property, Rental Income Streams (ApexCharts Stacked Area), Property Appreciation Timeline, Debt Service Coverage Ratio, Portfolio Rebalancing Recommendations Verkauf/Kauf, GSAP Multi-Property Animations - USE CASE: Berater managen Immobilien-Portfolios für vermögende Kunden, Real Estate Investoren tracken Multiple Properties zentral\n\n39. **#39** — erstelle ein DVAG Renovierungs-ROI-Calculator Wertsteigerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Renovierungs-Maßnahmen ROI Küche/Bad/Dach/Fenster/Heizung, Cost vs Value Report verschiedene Projekte (ApexCharts Bar Chart), Wertsteigerung Percentage pro Maßnahme, Energy Efficiency Upgrades KfW-Förderung, Curb Appeal Projects Vorgarten/Fassade, Kitchen Remodel ROI 60-80%, Bathroom Remodel ROI 50-70%, Roof Replacement ROI, HVAC System Upgrade, Window Replacement Energy Savings, Prioritization Matrix Impact vs Cost (D3.js Scatter), Financing Options Modernisierungskredit, GSAP Renovation Animations - USE CASE: Berater empfehlen wertsteigerndste Renovierungen vor Verkauf, Hausbesitzer priorisieren Renovierungen nach ROI\n\n40. **#40** — entwickle einen DVAG Hypotheken-Refinanzierung-Analyzer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Refinancing Calculator neuer Zins vs aktuell, Break-Even Point Refinanzierung-Kosten vs Savings (ApexCharts), Vorfälligkeitsentschädigung Calculator bei vorzeitiger Ablösung, Cash-Out Refinancing Option Equity herausnehmen, Rate-and-Term Refinancing, Interest-Only to Principal-Interest Switch, ARM to Fixed Rate Conversion, Loan Term Reduction 30 zu 15 Jahre, Closing Costs Estimate Notar/Grundbuch, Monthly Payment Reduction (D3.js Comparison), Lifetime Interest Savings, Market Timing Zinsentwicklung, GSAP Refinancing Animations - USE CASE: Berater identifizieren Refinanzierungs-Chancen bei Zinsrückgang, Hausbesitzer senken monatliche Belastung durch Umschuldung\n\n## Kategorie 5: BERATER-PRODUKTIVITÄT & CRM\n\n41. **#41** — erstelle ein DVAG Berater-CRM-Dashboard Kunden-Management - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kunden-Datenbank sortable/filterable/searchable, Contact Management Telefon/Email/Adresse, Kundenlebenszyklus-Status Interessent/Neukunde/Bestandskunde/Inaktiv (D3.js Funnel), Produktbesitz-Matrix Kunde x Produkte, Cross-Sell Opportunities Identifier, Nächste Kontakt-Termine Kalender, Geburtstags-Reminder, Vertragsablauf-Alerts, Notes & Communication History, Customer Lifetime Value Berechnung, Kundensegmentierung ABC-Analyse, Referral Tracking Empfehlungen, GSAP CRM Animations - USE CASE: DVAG Berater managen Kundenstamm professionell mit Verkaufschancen-Tracking, Produktivitätssteigerung durch systematisches Follow-up\n\n42. **#42** — entwickle einen DVAG Provisions-Tracker mit Forecasting - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Provisions-Dashboard monatlich/quartalsweise/jährlich (ApexCharts Column Chart), Produktarten-Mix Lebensversicherung/BU/Fonds/Immobilien, Bestands-Provisionen vs Abschluss-Provisionen, Provisions-Forecast basierend auf Pipeline, Commission Structure Visualizer Staffelung nach Volumen, YTD Year-to-Date Tracking, Quota Attainment Prozent vom Ziel, Leaderboard Ranking im Team, Top Producers Analyse, Revenue per Client Calculation, Churn Rate Impact auf Bestandsprovisionen, Seasonal Patterns Heatmap (D3.js), GSAP Commission Counter Animations - USE CASE: DVAG Berater tracken Provisions-Einnahmen und forecasten Income, Team-Leader analysieren Berater-Performance und Produktmix\n\n43. **#43** — programmiere ein DVAG Kunden-Termin-Planer Advanced Scheduling - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kalender-Ansicht Tag/Woche/Monat, Termin-Buchung mit Kundenauswahl, Termin-Typen Erstgespräch/Beratung/Jahresgespräch/Vertragsabschluss, Zeitslot-Blocker für Admin-Zeit, Erinnerungs-System 24h/1h vor Termin, No-Show Tracking, Doppelbuchung-Prevention, Travel Time Calculator zwischen Terminen, Kundenwunsch-Zeitfenster, Meeting Notes Attachment, Follow-up Task Creation nach Termin, Google Calendar Sync Mock, GSAP Calendar Animations - USE CASE: DVAG Berater organisieren Kundentermine effizient ohne Überschneidungen, Maximale Anzahl Beratungen pro Tag durch optimierte Zeitplanung\n\n44. **#44** — baue ein DVAG Sales-Pipeline-Visualizer Verkaufstrichter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sales Funnel Visualizer Leads/Qualifiziert/Proposal/Negotiation/Closed (D3.js Funnel Chart), Conversion Rates pro Stage, Deal Value in Pipeline Total, Weighted Pipeline Wahrscheinlichkeit × Wert, Average Sales Cycle Tage von Lead zu Close, Win Rate Calculator Abschlussquote, Lead Source Tracking Empfehlung/Kaltakquise/Event/Online, Pipeline Velocity wie schnell Deals durchlaufen, Lost Reasons Analysis warum verloren, Sales Activities Calls/Meetings/Proposals, Top Deals highlighting, Pipeline Health Score, GSAP Funnel Animations - USE CASE: DVAG Berater visualisieren Verkaufspipeline und identifizieren Bottlenecks, Sales Manager forecasten Team-Umsatz basierend auf Pipeline\n\n45. **#45** — erstelle ein DVAG Kunden-Dokumenten-Vault Secure Storage - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dokumenten-Upload Verträge/Ausweise/Einkommensnachweise, Dokumenten-Kategorisierung Versicherung/Investment/Steuer/Immobilien, Verschlüsselung Mock Sicherheit, Versions-Kontrolle Dokumente, Ablaufdatum-Tracking Ausweisdokumente, OCR Mock Text-Extraktion, Volltextsuche in Dokumenten, Sharing-Links zeitlich begrenzt, Audit Trail wer hat wann zugegriffen, Storage Quota Visualizer (ApexCharts Gauge), Backup & Export Funktion, Compliance DSGVO-konform, GSAP Document Upload Animations - USE CASE: DVAG Berater speichern Kundendokumente sicher zentral, Compliance-konforme Aufbewahrung wichtiger Unterlagen\n\n46. **#46** — entwickle einen DVAG Kunden-Kommunikations-Tracker Omnichannel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Communication Timeline alle Touchpoints Telefon/Email/SMS/WhatsApp/persönlich (D3.js Timeline), Kontakt-Frequenz Tracking, Last Contact Date Reminder, Communication Preferences Kunde bevorzugt Email/Telefon, Email Template Library, SMS Bulk-Versand Geburtstage, WhatsApp Business Integration Mock, Call Notes pro Gespräch, Email Open/Click Tracking Mock, Response Time Analyzer, Follow-up Reminder Engine, Communication Volume Heatmap (D3.js), GSAP Message Animations - USE CASE: DVAG Berater dokumentieren alle Kundenkontakte lückenlos, Bessere Customer Experience durch bevorzugte Kommunikationskanäle\n\n47. **#47** — programmiere ein DVAG Beratungs-Qualitäts-Checker Compliance - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Beratungsprotokoll-Generator nach §34f GewO, Compliance-Checkliste alle Pflichtangaben, Risikoklassen-Ermittlung Kunde, Geeignetheits-Prüfung Produkt vs Kunde Match, Beratungsnachweis-PDF automatisch, Dokumentationspflicht-Erfüller, Haftungsrisiko-Minimizer, Widerrufsbelehrung Generator, Produktinformationsblatt Attachment, Vergütung-Offenlegung Pflicht, Beratungsfehler-Vermeidung, Quality Score pro Beratung (ApexCharts Radar), GSAP Compliance Animations - USE CASE: DVAG Berater erfüllen Compliance-Anforderungen vollständig, Haftungsrisiken minimieren durch lückenlose Beratungsdokumentation\n\n48. **#48** — baue ein DVAG Berater-Performance-Dashboard Analytics - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Dashboard Abschlüsse/Umsatz/Neukundenrate/Cross-Sell-Quote, Monatliche Performance Trends (ApexCharts Line Charts), Ziel vs Ist Comparison, Product Mix Analysis Diversifikation, Customer Acquisition Cost Calculator, Customer Lifetime Value, Retention Rate Bestandskunden, Referral Rate Empfehlungsquote, Activities Metrics Calls/Meetings/Proposals pro Woche, Time Management Analyse produktive vs administrative Zeit, Peer Comparison anonymisiert, Growth Rate YoY Year-over-Year, GSAP KPI Counter Animations - USE CASE: DVAG Berater analysieren eigene Performance und identifizieren Verbesserungspotenziale, Team-Leader benchmarken Berater-Performance\n\n49. **#49** — erstelle ein DVAG Lead-Scoring-System Priorisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead Scoring Model demografisch/verhaltensbezogen/firmografisch, Score Calculation 0-100 Punkte, Lead Grade A/B/C/D basierend auf Score (D3.js Scatter Plot Score vs Engagement), Behavioral Signals Website-Besuche/Email-Opens/Content-Downloads, Demographic Factors Alter/Einkommen/Familie, Firmographic Factors Branche/Unternehmensgröße bei B2B, Engagement Level Interaktionen, Buying Intent Signals, Negative Scoring Disqualifiers, Lead Source Quality Rating, Automated Lead Assignment basierend auf Score, Lead Nurturing Recommendations, GSAP Lead Score Animations - USE CASE: DVAG Berater priorisieren Leads nach Abschlusswahrscheinlichkeit, Maximale Conversion durch Fokus auf High-Score Leads\n\n50. **#50** — entwickle einen DVAG Berater-Academy-Progress-Tracker Training - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainings-Fortschritt Dashboard alle Kurse, Skill-Bewertung Radar Chart (ApexCharts) Produkte/Compliance/Sales/Soft Skills, Zertifikate Tracker IHK/Sachkundenachweise, Weiterbildungs-Pflicht 15h jährlich, Learning Path Visualizer vom Einstieg zum Senior Berater (D3.js Tree), Quiz-Scores Wissensüberprüfung, Video-Trainings Completed, Peer Learning Studiengruppen, Mentorship Program Match, Career Progression Timeline, Next Certification Reminder, CPE Continuing Professional Education Tracker, GSAP Learning Animations - USE CASE: DVAG Berater tracken eigene Weiterbildung und Skill-Entwicklung, Academy Manager sehen Trainings-Completion-Rate im Team\n\n## Kategorie 6: STEUER & RECHT TOOLS\n\n51. **#51** — erstelle ein DVAG Einkommensteuer-Rechner Deutschland Detailliert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Brutto-Netto-Rechner Lohnsteuer/Soli/Kirchensteuer, Steuerklassen 1-6 Auswahl, Progressionsvorbehalt Visualizer (ApexCharts Stacked Area), Grenzsteuersatz vs Durchschnittssteuersatz, Kalte Progression Impact Inflation, Abzugsfähige Kosten Werbungskosten/Sonderausgaben/außergewöhnliche Belastungen, Steuerfreibeträge Grundfreibetrag/Kinderfreibetrag/Sparerpauschbetrag, Solidaritätszuschlag 5.5% ab 2021 Grenze, Kirchensteuer 8-9% je Bundesland, Steuererstattung Calculator, Jahressteuererklärung Simulator, Tax Bracket Visualizer (D3.js), GSAP Tax Calculation Animations - USE CASE: Berater kalkulieren Steuerbelastung für Gehaltsverhandlungen, Arbeitnehmer optimieren Steuerklassenwahl und Freibeträge\n\n52. **#52** — entwickle einen DVAG Kapitalertragsteuer-Optimizer Abgeltungsteuer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Abgeltungsteuer 25% + Soli 5.5% = 26.375%, Sparerpauschbetrag 1000€ Single / 2000€ Married, Freistellungsauftrag Manager mehrere Banken, Günstigerprüfung wenn persönlicher Steuersatz < 25%, Teilfreistellung Aktienfonds 30% / Mischfonds 15% / Immobilienfonds 60%, Kirchensteuer auf Kapitalerträge, Quellensteuer Ausland anrechenbar, Verlustverrechnung Aktien/Sonstige, Verlustverrechnungstopf Carry-Forward, Zinsen/Dividenden/Kursgewinne separate Töpfe, Tax-Loss Harvesting Strategie, Steueroptimierung Thesaurierend vs Ausschüttend ETF (ApexCharts), GSAP Tax Optimization Animations - USE CASE: Berater optimieren Kapitalertragssteuer für Investoren, DIY-Investoren nutzen Sparerpauschbetrag und Teilfreistellung optimal\n\n53. **#53** — programmiere ein DVAG Erbschaftsteuer-Rechner Freibeträge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erbschaftsteuer-Calculator nach Verwandtschaftsgrad, Freibeträge Ehepartner 500k / Kinder 400k / Enkel 200k / Geschwister 20k, Steuerklassen I/II/III unterschiedliche Sätze (ApexCharts Bar Chart), Stufentarif 7% bis 50%, Selbstgenutzte Immobilie steuerfrei Ehepartner/Kinder unter Bedingungen, 10-Jahres-Regel mehrfache Schenkungen, Nießbrauch-Rechner Wert-Minderung, Kettenschenkung Optimierung Eltern→Kinder→Enkel, Berliner Testament Steuernachteil, Günstigere Varianten Vermögen verteilen, Erbschaftsteuer-Optimierungs-Strategien (D3.js Flow), GSAP Inheritance Animations - USE CASE: Berater planen steueroptimierte Vermögensübertragung, Vermögende minimieren Erbschaftsteuer durch Freibetrags-Nutzung\n\n54. **#54** — baue ein DVAG Schenkungsteuer-Planer 10-Jahres-Strategie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schenkungsteuer identisch mit Erbschaftsteuer Freibeträge/Sätze, 10-Jahres-Frist-Tracker Freibeträge alle 10 Jahre erneut, Schenkungsplan-Optimizer Vermögensübertragung über 30 Jahre (D3.js Timeline), Kettenschenkung Eltern→Kinder→Enkel doppelte Freibeträge, Nießbrauch-Vorbehalt Schenkung mit Nutzungsrecht, Wohnrecht-Eintragung Immobilienschenkung, Rückforderungsvorbehalt wenn Beschenkter vorverstirbt, Schenkung unter Auflage Pflege im Alter, Gemischte Schenkung Teil entgeltlich, Taggenaue Berechnung 10-Jahres-Frist, Steuerersparnis-Visualizer Schenkung vs Erbe (ApexCharts), GSAP Gift Planning Animations - USE CASE: Berater entwickeln Schenkungspläne für Generational Wealth Transfer, Familien übertragen Vermögen steuerfrei mit 10-Jahres-Strategie\n\n55. **#55** — erstelle ein DVAG Vermögenswirksame-Leistungen-Optimizer VL - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: VL-Betrag Arbeitgeber max 40€/Monat, Arbeitnehmersparzulage 20% auf Aktien-VL (max 400€ VL → 80€ Zulage), Einkommensgrenzen Ledige 40.000€ / Verheiratete 80.000€, VL-Anlagemöglichkeiten Bausparvertrag/Aktien-Fondssparplan/Banksparplan, Sperrfrist 7 Jahre, VL-Fondssparplan Rendite-Projektion (ApexCharts Line Chart), Arbeitgeberzuschuss + Sparzulage + Rendite = Total Benefit, VL vs selbst sparen Comparison, Steuerfreie Einzahlung des Arbeitgebers, Zulageantrag automatisch vs manuell, VL-Rechner verschiedene Szenarien (D3.js), GSAP VL Animations - USE CASE: Berater zeigen VL-Optimierung mit Arbeitnehmersparzulage, Arbeitnehmer nutzen geschenktes Geld von Arbeitgeber und Staat\n\n56. **#56** — entwickle einen DVAG Riester-Renten-Rechner Förderquote - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Riester-Zulagen Grundzulage 175€/Jahr + Kinderzulage 300€/Kind, Mindesteigenbeitrag 4% Bruttoeinkommen minus Zulagen, Sockelbeitrag 60€/Jahr Minimum, Steuerliche Förderung Sonderausgabenabzug max 2100€, Günstigerprüfung Zulage vs Steuervorteil, Förderquote Calculator Zulagen/Eigenbeitrag, Riester-Produktvergleich Versicherung/Fondssparplan/Banksparplan/Wohn-Riester, Zulagenantrag Permanent-Zulagenantrag, Schädliche Verwendung Auszahlung vor Rente, Nachgelagerte Besteuerung Rentenbezug, Riester vs ETF-Sparplan Vergleich (ApexCharts), GSAP Riester Animations - USE CASE: Berater berechnen Riester-Förderquote für Familien mit Kindern, Arbeitnehmer entscheiden Riester-Sinnhaftigkeit basierend auf Zulagen\n\n57. **#57** — programmiere ein DVAG Rürup-Renten-Rechner Selbständige - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rürup-Basisrente für Selbständige/Freiberufler, Steuerliche Absetzbarkeit 2024: 100% von max 27.566€ (Ledige) / 55.132€ (Verheiratete), Steuervorteil-Rechner nach persönlichem Steuersatz, Nachgelagerte Besteuerung in Rente, Rürup vs private Altersvorsorge Vergleich (ApexCharts), Kapitalwahlrecht nicht möglich nur lebenslange Rente, Hartz-IV-sicher Pfändungsschutz, Vererbung nicht möglich außer Hinterbliebenenrente, Zusatzbausteine BU/Hinterbliebenenabsicherung, Rürup-Produktvergleich Versicherung vs Fondssparplan, Rendite-Projektion (D3.js), GSAP Rürup Animations - USE CASE: Berater zeigen Selbständigen Rürup-Steuervorteil, Freiberufler bauen Altersvorsorge mit hoher Steuerersparnis\n\n58. **#58** — baue ein DVAG Betriebliche-Altersvorsorge-Optimizer bAV - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: bAV-Durchführungswege Direktversicherung/Pensionskasse/Pensionsfonds/Direktzusage/Unterstützungskasse, Entgeltumwandlung Brutto zu bAV Steuer- und Sozialversicherungsfrei, Fördergrenze 2024: 8% BBG = 7.248€ sv-frei / 4% BBG darüber hinaus steuerfrei, Arbeitgeberzuschuss Pflicht 15% bei Sozialversicherungsersparnis, Steuerersparnis durch Bruttoumwandlung (ApexCharts Waterfall), Nachgelagerte Besteuerung + Krankenversicherung in Rente, Portabilität bei Arbeitgeberwechsel, Riester-Förderung zusätzlich möglich, bAV vs private Altersvorsorge Comparison, Unverfallbarkeit nach 3 Jahren, GSAP bAV Animations - USE CASE: Berater optimieren bAV mit Arbeitgeberzuschuss, Arbeitnehmer nutzen Steuervorteile durch Entgeltumwandlung\n\n59. **#59** — erstelle ein DVAG Steueroptimierungs-Planer Jahresendplanung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Jahresendrallye Steueroptimierung November/Dezember, Sonderausgaben vorziehen Versicherungen/Spenden/Riester, Werbungskosten maximieren Arbeitszimmer/Fortbildung/Fachliteratur, Außergewöhnliche Belastungen Krankheitskosten/Pflegekosten, Handwerkerleistungen 20% abzugsfähig max 1200€, Haushaltsnahe Dienstleistungen 20% max 4000€, Verlustverrechnung realisieren Tax-Loss Harvesting, Abschreibungen Immobilien AfA, Investitionsabzugsbetrag Selbständige, Sonderabschreibung degressive AfA, Steueroptimierungs-Checkliste (D3.js Flow Diagram), Steuerersparnis-Potential Calculator (ApexCharts), GSAP Year-End Planning Animations - USE CASE: Berater führen Jahresendrallye mit Kunden durch, Steuerpflichtige maximieren Erstattung durch rechtzeitige Planung\n\n60. **#60** — entwickle einen DVAG Steuererklärung-Assistent Deutschland - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Steuererklärung-Wizard Schritt-für-Schritt, Anlage N Einkünfte nichtselbständige Arbeit, Anlage KAP Kapitaleinkünfte, Anlage V Vermietung Verpachtung, Anlage AV Altersvorsorge Riester/Rürup, Werbungskosten-Pauschalen vs Einzelnachweis, Entfernungspauschale 30 Cent/km, Arbeitszimmer-Rechner, Verpflegungsmehraufwand Dienstreisen, Doppelte Haushaltsführung, Fortbildungskosten, Steuererstattung-Prognose (ApexCharts Gauge), ELSTER Mock-Export, Abgabefrist-Reminder 31.7., GSAP Form Fill Animations - USE CASE: Berater assistieren Kunden bei Steuererklärung, Steuerpflichtige finden alle Abzugsmöglichkeiten und maximieren Erstattung\n\n## Kategorie 7: ALTERSVORSORGE & RENTE\n\n61. **#61** — erstelle ein DVAG Rentenlücken-Rechner Deutschland - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesetzliche Rente Estimator basierend auf Entgeltpunkten, Rentenniveau aktuell 48% sinkt auf 43%, Versorgungslücke Current Lifestyle vs Gesetzliche Rente (ApexCharts Gap Chart), 3-Schichten-System gesetzlich/betrieblich/privat Visualizer (D3.js Stacked Area), Inflationsbereinigung Kaufkraft im Alter, Lebenserwartung Calculator Durchschnitt + 10 Jahre Sicherheit, Zusätzlicher Kapitalbedarf bis Lebensende, Sparrate-Berechnung um Lücke zu schließen, Rentenbeginn-Optimizer 63/65/67/70 Jahre Abschläge/Zuschläge, Teilrente in Kombi mit Teilzeit, Steuer auf Rente Ertragsanteil 2040: 100%, GSAP Gap Visualization Animations - USE CASE: Berater zeigen Rentenlücke objektiv mit Zahlen, Arbeitnehmer sehen private Vorsorge-Notwendigkeit klar\n\n62. **#62** — entwickle einen DVAG Drei-Schichten-Renten-Planer Gesamt - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schicht 1 Basisversorgung Gesetzliche Rente/Rürup, Schicht 2 Zusatzversorgung bAV/Riester, Schicht 3 Kapitalanlage private Renten/ETF/Immobilien, Gesamtrenten-Projektion alle Schichten (ApexCharts Stacked Column), Optimale Schichtung nach Steuersituation, Schicht-Priorisierung für verschiedene Berufsgruppen Angestellt/Beamte/Selbständig, Tax Treatment jeder Schicht in Anspar & Auszahlphase, Flexibilität Score Verfügbarkeit Kapital, Förderquoten-Vergleich Riester/Rürup/bAV, Diversifikation über Schichten (D3.js Sankey Flow), Asset Allocation Altersvorsorge, GSAP 3-Layer Animations - USE CASE: Berater bauen ganzheitliche Altersvorsorge über 3 Schichten, Kunden optimieren Steuervorteile und Flexibilität durch Schicht-Mix\n\n63. **#63** — programmiere ein DVAG Renten-Eintrittsalter-Optimizer Abschläge - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelaltersgrenze nach Geburtsjahrgang 65-67 Jahre, Früherer Rentenbeginn ab 63 mit Abschlägen 0.3% pro Monat, Rente mit 63 nach 45 Beitragsjahren ohne Abschlag, Späterer Rentenbeginn Zuschläge 0.5% pro Monat, Break-Even Analyse früh vs spät (ApexCharts Line Chart Crossover), Lebenserwartung Impact auf Break-Even, Gesundheitszustand-Faktor, Weiterarbeiten-Rentability neben Teilrente, Hinzuverdienst-Grenzen vor Regelaltersgrenze, Rentenbesteuerung unterschiedlich je Eintrittsalter, Optimaler Rentenbeginn Calculator (D3.js Decision Tree), GSAP Retirement Age Animations - USE CASE: Berater optimieren Renteneintrittsalter individuell, Pre-Retirees entscheiden früh vs spät basierend auf Finanzen und Gesundheit\n\n64. **#64** — baue ein DVAG Entnahmeplan-Rechner Sustainable Withdrawal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: 4% Rule Calculator Trinity Study, Variable Withdrawal Strategies Guyton-Klinger, Dynamic Spending Adjustments Market-Based, Withdrawal Rate Simulator 3%/4%/5% (ApexCharts Monte Carlo), Portfolio Longevity bis 95/100 Jahre, Sequence of Returns Risk Visualizer frühe Bear Markets (D3.js), Inflation-Adjusted Withdrawals 2-3%, Tax-Efficient Withdrawal Order Taxable/Tax-Deferred/Tax-Free, Required Minimum Distributions RMDs ab 73 Jahre, Social Security Timing Integration, Bucket Strategy Cash/Bonds/Stocks, Failure Rate Probability Portfolio Depletion, GSAP Withdrawal Animations - USE CASE: Berater entwickeln nachhaltige Entnahmestrategien für Rentner, Retirees maximieren Income ohne Portfolio-Erschöpfung\n\n65. **#65** — erstelle ein DVAG Gesetzliche-Renten-Rechner Detailliert - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entgeltpunkte-Berechnung Brutto/Durchschnitt, Rentenwert aktuell 39.32€ (West) / 39.32€ (Ost) seit 2024, Rentenformel Entgeltpunkte × Zugangsfaktor × Rentenartfaktor × Rentenwert, Versicherungsverlauf Simulation Jahre, Durchschnittsentwicklung Gehälter, Rentenhöhe-Projektion (ApexCharts Column Chart), Rentenanpassung 1-2% jährlich, Mütterrente Kindererziehungszeiten, Erwerbsminderungsrente, Hinterbliebenenrente Witwen/Waisen, Rentenauskunft Checker, Deutsche Rentenversicherung Info-Integration, GSAP Pension Calculation Animations - USE CASE: Berater berechnen exakte gesetzliche Rentenansprüche, Arbeitnehmer sehen Rentenhöhe basierend auf aktuellem Gehalt\n\n66. **#66** — entwickle einen DVAG Altersvorsorge-Mix-Optimizer Rendite/Sicherheit - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Altersvorsorge-Produkte Matrix ETF/Riester/Rürup/bAV/private Rente/Immobilien, Rendite vs Sicherheit Scatter Plot (D3.js), Liquidität vs Rendite Trade-Off, Steuerliche Förderung Ranking, Kosten-Transparenz TER/Effektivkosten, Flexibilität Score Verfügbarkeit, Diversifikation über Produkttypen, Alters-Glide-Path 100-Alter Aktienquote, Rebalancing verschiedene Produkte, Risk-Adjusted Return Sharpe Ratio, Altersvorsorge-Empfehlung basierend auf Profil (ApexCharts Radar), GSAP Product Mix Animations - USE CASE: Berater empfehlen optimalen Altersvorsorge-Mix, Kunden diversifizieren Altersvorsorge über Produkttypen\n\n67. **#67** — programmiere ein DVAG Pension-Gap-Analyzer Expatriates International - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sozialversicherungsabkommen Deutschland mit Ländern, Rentenansprüche mehrere Länder kombinieren, EU-Koordinierung Rentenansprüche, Pension Totalization Agreements USA/Canada/Australia, Versorgungslücke bei Auslandsaufenthalten, Private International Pension Solutions, Currency Risk Renten in anderer Währung, Tax Treatment Cross-Border Pensions DBA Doppelbesteuerungsabkommen, Gesetzliche Rente Export-Fähigkeit, Expat Retirement Strategies, Ländervergleich Rentensysteme (D3.js World Map), GSAP International Pension Animations - USE CASE: Berater beraten Expats zu internationalen Rentenansprüchen, Auslandsaufenthalte minimieren Rentenlücke durch Planung\n\n68. **#68** — baue ein DVAG Rentenbesteuerungs-Calculator Ertragsanteil - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentenbesteuerung Gesetzliche Rente Besteuerungsanteil 2024: 83% steigt auf 100% bis 2040, Rentenfreibetrag einmalige Festsetzung bei Rentenbeginn, Altersentlastungsbetrag für andere Einkünfte im Alter, Grundfreibetrag 2024: 11.604€, Krankenversicherung Rentner KVdR, Pflegeversicherung Rentner, Steuerpflicht-Checker Rente über Grundfreibetrag, Private Rentenversicherung Ertragsanteilsbesteuerung je nach Rentenbeginn-Alter, Riester-Rente nachgelagerte Vollversteuerung, Rürup-Rente nachgelagerte Vollversteuerung, Nettorentenrechner nach Steuern (ApexCharts Waterfall), GSAP Tax on Pension Animations - USE CASE: Berater berechnen Nettorente nach Steuern, Rentner planen Steuerlast und vermeiden Nachzahlungen\n\n69. **#69** — erstelle ein DVAG Altersarmut-Risiko-Checker Deutschland - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundsicherung im Alter Bedarf 2024 ca. 950€/Monat, Altersarmut-Schwelle 60% Median-Einkommen, Risikogruppen Mini-Jobber/Selbständige ohne Altersvorsorge/Alleinerziehende/Langzeitarbeitslose, Erwerbsbiografie-Lücken Impact, Teilzeit-Arbeit Rentenauswirkungen, Gender Pension Gap Frauen, Scheidung Impact Versorgungsausgleich, Gesundheitskosten im Alter, Pflegekosten-Risiko, Altersarmut-Wahrscheinlichkeit Calculator (ApexCharts Gauge), Präventions-Maßnahmen Altersvorsorge aufbauen, GSAP Poverty Risk Animations - USE CASE: Berater identifizieren Altersarmut-Risiko früh, Risiko-Kunden ergreifen rechtzeitig Gegenmaßnahmen\n\n70. **#70** — entwickle einen DVAG Renten-Splitting-Rechner Ehepaare - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rentensplitting unter Ehegatten, Versorgungsausgleich bei Scheidung, Partner-Rente Hinterbliebenenversorgung, Witwenrente 55%/60% der Rente des Verstorbenen, Eigene Rente angerechnet auf Witwenrente, Freibetrag Witwenrente, Große vs Kleine Witwenrente, Rentenkürzung bei Wiederheirat, Splitting vs Witwenrente Comparison (ApexCharts), Erziehungszeiten Anrechnung, Rentenoptimierung Ehepaare Einzeln vs Gesamt, Tax Optimization Ehegatten-Splitting, GSAP Couple Pension Animations - USE CASE: Berater optimieren Renten-Strategien für Ehepaare, Paare maximieren Gesamt-Rente durch Splitting-Strategien\n\n## Kategorie 8: KONZERN-DASHBOARDS DVAG MANAGEMENT\n\n71. **#71** — erstelle ein DVAG Konzern-Performance-Dashboard Executive - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KPI-Overview Umsatz/Neugeschäft/Bestand/Mitarbeiter, Regional Performance Deutschland-Karte (D3.js Geo Choropleth), Top Regions Ranking, Produktmix-Analyse Leben/BU/Fonds/Immobilien (ApexCharts Stacked Column), YoY Growth Rate Year-over-Year, Monthly Trends Charts, Berater-Produktivität Durchschnitt, Customer Acquisition Cost, Customer Lifetime Value, Churn Rate Bestandskunden, Market Share Visualizer, Strategic Goals vs Actuals (D3.js Bullet Charts), GSAP Executive Dashboard Animations - USE CASE: DVAG Management überwacht Konzern-Performance in Echtzeit, Strategic Decisions basierend auf Regional & Produkt Performance\n\n72. **#72** — entwickle einen DVAG Team-Performance-Tracker Vertriebs-Organisationen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertriebs-Organisationen Hierarchie Visualizer (D3.js Org Chart), Team-Leaderboard Top Performers, Individual Performance Scorecards, Sales Targets vs Actuals, Commission Tracking pro Berater, Activity Metrics Calls/Meetings/Proposals, Conversion Rates Funnel, Cross-Sell Ratio, Retention Rate Team, Recruiting Success neue Berater, Training Completion Rate, Performance Distribution Histogram (ApexCharts), Team Collaboration Score, GSAP Team Performance Animations - USE CASE: Team-Leader monitoren Performance ihrer Vertriebs-Organisation, Coaching-Bedarf identifizieren durch Performance-Analyse\n\n73. **#73** — programmiere ein DVAG Neugeschäft-Dashboard Echtzeit-Tracking - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Neugeschäft-Volumen Daily/Weekly/Monthly (ApexCharts Real-Time Line Chart), Produktarten-Split, Durchschnittliche Vertragssumme, Anzahl Abschlüsse, Top Berater Neugeschäft, Regional Distribution Neugeschäft (D3.js Map), Neugeschäft Forecast basierend auf Pipeline, Saisonalität-Analyse Heatmap, Campaign Performance Marketing-Kampagnen, Lead-to-Close Rate, Time-to-Close Average, New Business Quality Score, GSAP New Business Animations - USE CASE: DVAG Vertriebsleitung trackt Neugeschäft in Echtzeit, Früherkennung von Trends und Kampagnen-Erfolg\n\n74. **#74** — baue ein DVAG Bestandsgeschäft-Analyzer Retention - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestandsvolumen Total nach Produktarten, Retention Rate jährlich (ApexCharts Line Chart), Churn Rate Kündigungen, Lapse Ratio Stornoquote, Premium Persistency Beitragstreue, Policy Persistency Vertragstreue, Storno-Gründe Analyse, At-Risk Customers Identifier Kündigungsrisiko, Bestandspflege-Aktivitäten, Cross-Sell Opportunities im Bestand, Policen-Erhöhungen Dynamik, Bestandsprovisionen Forecast, GSAP Retention Animations - USE CASE: DVAG Bestandsmanagement minimiert Churn, Proaktive Kundenbindung durch At-Risk Identification\n\n75. **#75** — erstelle ein DVAG Recruiting-Dashboard Berater-Wachstum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Recruiting Funnel Leads/Interviews/Offers/Hires (D3.js Funnel), Conversion Rate pro Stage, Source of Hires Referrals/Events/Online/Ads, Time-to-Hire Average, Quality of Hire Metrics erste 12 Monate Performance, Retention New Hires 1-Jahres-Quote, Onboarding Completion Rate, Recruiter Productivity, Cost per Hire, Headcount Growth Netto-Wachstum (ApexCharts), Regional Recruiting Performance, Diversity Metrics, GSAP Recruiting Funnel Animations - USE CASE: DVAG HR optimiert Recruiting-Prozess und Onboarding, Wachstumsziele erreichen durch effizientes Recruiting\n\n76. **#76** — entwickle einen DVAG Training-Effectiveness-Dashboard Academy - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Training Completion Rates alle Programme, Skill Development Tracking pre/post Tests, Certification Success Rate IHK/Sachkunde, Training ROI Performance nach Training, Course Ratings Feedback, Training Hours pro Berater, Compliance Training Mandatory, Product Knowledge Scores, Sales Skills Assessment, Soft Skills Development, Learning Path Completion (D3.js Sankey), Training Cost per Berater, GSAP Training Progress Animations - USE CASE: DVAG Academy misst Training-Effectiveness, Training-Programme optimieren basierend auf ROI und Feedback\n\n77. **#77** — programmiere ein DVAG Customer-Satisfaction-Dashboard NPS - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Net Promoter Score NPS -100 bis +100, Customer Satisfaction Score CSAT, Customer Effort Score CES, Sentiment Analysis Reviews, Complaint Rate, Resolution Time Beschwerden, Survey Response Rate, NPS Trend über Zeit (ApexCharts Line Chart), NPS by Region/Product/Berater, Promoters vs Detractors Analysis, Feedback Themes Word Cloud (D3.js), Referral Rate aus Promoters, GSAP NPS Score Animations - USE CASE: DVAG Customer Experience Team monitort Kundenzufriedenheit, Service Improvements basierend auf Feedback-Analyse\n\n78. **#78** — baue ein DVAG Compliance-Dashboard Regulatory Monitoring - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Compliance-Rate Beratungsprotokolle 100% Ziel, Weiterbildungspflicht 15h erfüllt Berater-Quote, IHK-Zertifizierungen aktuell, Produktinformationsblätter vollständig, Datenschutz DSGVO Compliance, Geldwäsche-Prävention Schulungen, Beschwerdemanagement Response Times, Audit Findings offene vs geschlossene, Regulatory Changes Dashboard neue Gesetze (D3.js Timeline), Risk Score Compliance-Risiken (ApexCharts Gauge), Sanctions & Fines Tracking, GSAP Compliance Check Animations - USE CASE: DVAG Compliance Officer überwacht Regulatory Adherence, Audit-Readiness durch lückenlose Dokumentation\n\n79. **#79** — erstelle ein DVAG Produkt-Performance-Dashboard Portfolio - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Produktportfolio-Übersicht Leben/BU/Kranken/Fonds/Immobilien, Sales Volume pro Produkt (ApexCharts Treemap), Profitability Margin pro Produkt, Product Life Cycle Stage Introduction/Growth/Maturity/Decline, Market Share Wettbewerb, Customer Satisfaction pro Produkt, Cross-Sell Affinity Matrix (D3.js Heatmap), Product Cannibalization Analysis, Portfolio Balance Risk/Return, New Product Launch Performance, Underperforming Products Identifier, GSAP Product Performance Animations - USE CASE: DVAG Produktmanagement optimiert Portfolio-Mix, Product Launch Success messen und Portfolio bereinigen\n\n80. **#80** — entwickle einen DVAG Market-Intelligence-Dashboard Wettbewerb - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Marktanteile DVAG vs Wettbewerb Allianz/AXA/Zurich/SwissLife (ApexCharts Pie Chart), Competitive Positioning Matrix (D3.js Scatter Plot), Pricing Comparison Prämien/TER, Product Feature Comparison, Customer Acquisition Trends Markt, Digital Transformation Index Wettbewerber, Social Media Sentiment Analysis, Market Growth Rate gesamt, Regulatory Changes Impact auf Wettbewerb, Competitive Threats & Opportunities, Market Share Trends Historical (ApexCharts Area Chart), GSAP Market Intelligence Animations - USE CASE: DVAG Strategy Team analysiert Wettbewerbslandschaft, Strategic Positioning und Differenzierung optimieren\n\n## Kategorie 9: KUNDEN-SELF-SERVICE PORTALE\n\n81. **#81** — erstelle ein DVAG Kunden-Portal Dashboard Vertragsübersicht - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Verträge Übersicht Leben/BU/Kranken/Fonds/Immobilien, Vertragsstatus Aktiv/Ruhend/Gekündigt, Prämien-Übersicht monatlich/jährlich (ApexCharts Pie Chart), Versicherungssummen Total, Ablaufleistungen Projection, Vertrags-Details pro Police, Beitragsfreistellung Option, Policen-Erhöhung Nachversicherung, Vertragsänderungen Historie, Document Download Police/Jahresinformation, Schadenfall melden, Kontakt Berater Button, GSAP Portal Dashboard Animations - USE CASE: DVAG Kunden sehen alle Verträge zentral im Self-Service Portal, Transparenz und Self-Service reduziert Support-Anfragen\n\n82. **#82** — entwickle einen DVAG Fondspolice-Tracker Performance Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fondspolice-Guthaben aktuell, Fonds-Allocation Pie Chart (ApexCharts), Performance Charts 1/3/5/10 Jahre (D3.js Multi-Line), Einzahlungen vs Wertsteigerung, Cost Average Effect Visualization, Fondswechsel Self-Service Umschichtung, Dynamik-Option Beitragserhöhung, Zuzahlung einmalig, Kosten-Transparenz laufende Kosten, Ablaufleistung Projection (ApexCharts Area Chart), Steuerliche Behandlung Infos, Download Jahresbescheinigung, GSAP Fondspolice Animations - USE CASE: DVAG Kunden tracken Fondspolice-Performance selbständig, Fondswechsel ohne Berater-Kontakt möglich\n\n83. **#83** — programmiere ein DVAG Schadensmeldung-Portal Digital - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schadensmeldung-Formular Step-by-Step, Schadensart Auswahl Unfall/Krankheit/Kfz/Hausrat/Rechtsschutz, Upload Fotos/Belege/Gutachten, Schadennummer Tracking, Status-Verfolgung Eingegangen/Prüfung/Gutachten/Zahlung, Kommunikation mit Sachbearbeiter Chat, Zahlungsstatus Regulierung, Schadens-Historie alle vergangenen, Rückfragen-Management, Fristen-Reminder fehlende Unterlagen, Push Notifications Status-Updates, Durchschnittliche Bearbeitungszeit Info, GSAP Schadensmeldung Animations - USE CASE: DVAG Kunden melden Schäden digital rund um die Uhr, Schnellere Schadensregulierung durch digitalen Prozess\n\n84. **#84** — baue ein DVAG Dokumenten-Center Self-Service Download - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle Dokumente Übersicht Verträge/Jahresinformationen/Steuerbescheinigungen/Leistungsübersichten, Kategorisierung nach Dokumententyp, Zeitliche Sortierung, Suchfunktion Volltext, Download PDF einzeln/gesammelt, E-Signatur Vertragsänderungen, Postbox digitale Postbox statt Brief, Archivierung 10 Jahre gesetzlich, Upload eigene Dokumente Scans, Dokumenten-Sharing mit Berater, Neue Dokumente Notifications, Papierlos-Option, GSAP Document Download Animations - USE CASE: DVAG Kunden finden alle Dokumente digital jederzeit, Papierloses Office reduziert Kosten und ist umweltfreundlich\n\n85. **#85** — erstelle ein DVAG Beitrags-Manager Zahlungen Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Beitragszahlungen Übersicht alle Verträge, Zahlungsrhythmus monatlich/quartalsweise/halbjährlich/jährlich, Bankverbindung ändern SEPA-Lastschrift, Zahlungshistorie, Zahlungsausfall-Alerts, Beitragsrückstände Mahnung, Ratenzahlung Rückstände, Beitragsanpassung Dynamik stoppen/aktivieren, Zahlungsmethode ändern Lastschrift/Überweisung, Beitragsfreistellung beantragen, Beitragszahlung aussetzen temporär, Rückforderung überzahlte Beiträge, GSAP Payment Management Animations - USE CASE: DVAG Kunden managen Beitragszahlungen selbst, Zahlungsausfälle reduzieren durch Self-Service Lösungen\n\n86. **#86** — entwickle einen DVAG Termin-Buchung-Portal Self-Service - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Berater-Kalender Verfügbarkeit, Termin-Buchung Self-Service Datum/Uhrzeit, Terminart Beratung/Jahresgespräch/Vertragsabschluss, Video-Call vs Persönlich vs Telefon, Standort-Auswahl Geschäftsstelle/Kunde, Agenda-Setting Gesprächsthemen, Erinnerung 24h/1h vor Termin, Termin verschieben/absagen Self-Service, Berater-Profil Foto/Bio, Wartezeit-Info durchschnittlich, Meeting-Link Video-Call, Termin-Historie vergangene Gespräche, GSAP Booking Animations - USE CASE: DVAG Kunden buchen Beratungstermine online 24/7, Berater-Kalender automatisch gefüllt ohne Admin-Aufwand\n\n87. **#87** — programmiere ein DVAG Adress-Änderungs-Portal Self-Service - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Adresse ändern alle Verträge auf einmal, Telefonnummer ändern, E-Mail-Adresse ändern, Familienstand ändern Heirat/Scheidung, Namensänderung nach Heirat, Kontopfändung melden, Bezugsrechtsänderung Begünstigte, Kinder hinzufügen Geburt, Kinder entfernen Volljährigkeit, Arbeitgeber-Wechsel melden, Änderungs-Historie, Bestätigung E-Mail, Automatische Aktualisierung aller Verträge, GSAP Address Change Animations - USE CASE: DVAG Kunden aktualisieren Stammdaten selbst, Datenqualität verbessern durch Self-Service Updates\n\n88. **#88** — baue ein DVAG Police-Check-Tool Bedarfsanalyse Self-Service - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bestehende Policen Upload/Import, Bedarfsanalyse-Fragebogen Lebenssituation, Coverage Gap Analysis Unterversicherung (ApexCharts Gap Chart), Overlap Detection Doppelversicherung, Optimierungspotenzial Prämien sparen, Produktempfehlungen basierend auf Gaps, Lebensphasen-Check Anpassungsbedarf, Risiko-Score aktueller Schutz (D3.js Gauge), Vergleich zu Empfehlung Soll vs Ist, Beratungstermin vorschlagen bei Gaps, PDF-Report Police-Check Ergebnis, Jährlicher Police-Check Reminder, GSAP Policy Check Animations - USE CASE: DVAG Kunden prüfen Versicherungsschutz selbst jährlich, Beratungsbedarf identifizieren durch automatisierten Policy Check\n\n89. **#89** — erstelle ein DVAG FAQ & Chatbot-Portal Self-Service - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: FAQ-Kategorien Verträge/Schaden/Zahlung/Änderungen, Suchfunktion Freitext, Chatbot Mock Conversations häufige Fragen, Guided Navigation Decision Tree, Video-Tutorials How-To, Glossar Versicherungsbegriffe, Contact Escalation zu Berater bei komplexen Fragen, Kontaktformular, Telefon-Hotline Info, E-Mail Support, FAQ-Feedback hilfreich/nicht hilfreich, Popular Topics Trending, Chatbot-Analytics häufigste Fragen (ApexCharts), GSAP Chatbot Animations - USE CASE: DVAG Kunden finden Antworten Self-Service 24/7, Support-Last reduzieren durch FAQ und Chatbot\n\n90. **#90** — entwickle einen DVAG Finanzplaner-Tool Kunden Self-Service - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Budgetplaner Einnahmen/Ausgaben, Sparziel-Tracker Notgroschen/Urlaub/Auto, Rentenlücken-Rechner Self-Service, Immobilienfinanzierung-Rechner, Versicherungsbedarf-Calculator Leben/BU, Investment-Rechner ETF-Sparplan, Steuer-Rechner Brutto/Netto, Altersvorsorge-Planner 3 Schichten, Finanz-Ziele Priorisierung, Fortschritt-Tracking Goals, Beratungsempfehlung bei komplexen Zielen, PDF-Export Finanzplan, GSAP Financial Planning Animations - USE CASE: DVAG Kunden planen Finanzen selbst mit digitalen Tools, Lead-Generierung durch Self-Service Tool zu Beratung\n\n## Kategorie 10: TRAINING & ONBOARDING APPS\n\n91. **#91** — erstelle ein DVAG Onboarding-Dashboard Neue Berater - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Onboarding-Progress Timeline 90 Tage (D3.js Gantt Chart), Pflicht-Trainings Checklist Produkte/Compliance/Sales/IT, Video-Kurse Completion Rate, Quiz-Scores Wissensüberprüfung, IHK-Prüfung Vorbereitung, Sachkundeprüfung §34f GewO, Mentorship Pairing, Buddy-System Support, First Sales Milestone 5 Abschlüsse, Certifications Earned Badges (ApexCharts Progress Bars), Manager Check-Ins Termine, Feedback Surveys, GSAP Onboarding Progress Animations - USE CASE: DVAG HR trackt Onboarding-Erfolg neuer Berater, Strukturiertes Onboarding reduziert Frühfluktuation\n\n92. **#92** — entwickle einen DVAG Produkt-Training-Simulator Interactive - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Produkt-Katalog alle DVAG-Produkte Leben/BU/Fonds/Immobilien, Interactive Product Explorer Features/Kosten/Zielgruppe, Vergleichs-Tool Produkte Side-by-Side, Sales Pitch Templates, Objection Handling Scenarios, Competitive Comparison Wettbewerb, Tarif-Rechner Integration, Produktwissen-Quiz pro Produkt, Zertifikate pro Produktkategorie, Best Practices Success Stories, Update-Notifications neue Produkte, Learning Path Produktspezialist (D3.js), GSAP Product Training Animations - USE CASE: DVAG Berater lernen Produkte interaktiv, Produktwissen-Lücken schließen mit Simulator\n\n93. **#93** — programmiere ein DVAG Sales-Skills-Training Rollenspiele - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sales Methodology SPIN Selling/Challenger/Solution Selling, Rollenspiel-Szenarien Erstgespräch/Einwandbehandlung/Abschluss, Video-Recording Mock Pitches, Peer Feedback, Self-Assessment Rubrics, Sales Skills Radar Chart (ApexCharts) Rapport/Discovery/Presentation/Closing, Objection Library 50+ Einwände mit Antworten, Call Script Builder, Elevator Pitch Generator, Negotiation Tactics, Closing Techniques, Practice Score Tracking (D3.js), GSAP Sales Roleplay Animations - USE CASE: DVAG Berater trainieren Sales Skills mit Rollenspielen, Conversion Rate steigern durch strukturiertes Sales Training\n\n94. **#94** — baue ein DVAG Compliance-Training-Platform Pflichtschulungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pflichtschulungen Geldwäsche/Datenschutz/Beratungsprotokoll/Produktinformationspflicht, E-Learning Modules Video+Text+Quiz, Compliance-Quiz Bestehen 80% minimum, Zertifikate Completion, Jährliche Auffrischung 15h Pflicht, Regulatory Updates neue Gesetze, Best Practices Dos and Don'ts, Case Studies Compliance-Verstöße, Audit Preparation, Compliance Score Dashboard (ApexCharts Gauge), Non-Compliance Consequences, Refresher Training Reminder, GSAP Compliance Training Animations - USE CASE: DVAG Compliance sichert Pflichtschulungen ab, Berater bleiben compliant mit aktuellen Regulierungen\n\n95. **#95** — erstelle ein DVAG Soft-Skills-Academy Kommunikation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kommunikations-Training Active Listening/Empathy/Questioning, Konfliktmanagement Deeskalation, Verhandlungsführung Win-Win, Präsentations-Skills, Body Language Decoder, Emotional Intelligence Assessment (ApexCharts Radar), Storytelling für Sales, Rapport Building Techniques, Trust Establishment, Customer Psychology, Cultural Sensitivity, Difficult Conversations Handling, Soft Skills Score Tracking (D3.js), Practice Exercises, GSAP Soft Skills Animations - USE CASE: DVAG Berater entwickeln Soft Skills für bessere Kundenbindung, Customer Satisfaction steigern durch Empathie und Kommunikation\n\n96. **#96** — entwickle einen DVAG Digital-Tools-Training IT-Skills - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: CRM-System Training DVAG-Software, Kunden-Portal Nutzung, Dokumenten-Management System, Video-Call Tools Zoom/Teams, E-Signature Plattform, Tablet-Präsentationen iPad-Apps, Social Selling LinkedIn/Xing, Digital Marketing Basics, Cybersecurity Awareness Phishing, DSGVO Digital, Productivity Tools Kalender/To-Do, IT-Support FAQ, Digital Fluency Score (ApexCharts), GSAP Digital Tools Animations - USE CASE: DVAG Berater werden digital-fit mit IT-Training, Digitale Kundenberatung kompetent durchführen\n\n97. **#97** — programmiere ein DVAG Prüfungs-Vorbereitung IHK-Sachkunde - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: IHK-Prüfung §34f GewO Lernmaterialien, Prüfungsinhalte Versicherungsprodukte/Recht/Steuern/Beratungspflichten, Übungsfragen 1000+ Fragen, Mock-Exams Prüfungssimulation, Zeitlimit 120 Minuten, Score Tracking Fortschritt (ApexCharts Line Chart), Schwachstellen-Analyse welche Themen üben (D3.js Heatmap), Lernplan 8 Wochen strukturiert, Video-Lektionen, Prüfungsangst-Tipps, Success Rate Statistik, Zertifikat Mock bei Bestehen, GSAP Exam Prep Animations - USE CASE: DVAG Berater bereiten sich auf IHK-Prüfung vor, Bestehensquote erhöhen durch strukturierte Vorbereitung\n\n98. **#98** — baue ein DVAG Berater-Mentorship-Plattform Peer Learning - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mentor-Matching Senior mit Junior Berater, Mentorship Goals Setting, Meeting-Scheduler regelmäßige Check-Ins, Knowledge Sharing Best Practices, Career Development Roadmap, Skill Gap Identification, Learning Resources Empfehlungen, Feedback 360° Mentor/Mentee, Success Stories Mentorship Impact, Mentorship Program Analytics (ApexCharts), Peer Learning Groups Studiengruppen, Community Forum Q&A, GSAP Mentorship Animations - USE CASE: DVAG entwickelt Talente durch Mentorship, Junior Berater lernen von Seniors beschleunigt\n\n99. **#99** — erstelle ein DVAG Micro-Learning-Platform Bite-Sized Content - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Micro-Lessons 5-10 Minuten Video/Text/Quiz, Daily Learning Habit 15min täglich, Mobile-First Design Learning on the Go, Push Notifications Daily Lesson, Topics Library 500+ Lessons Produkte/Sales/Compliance/Soft Skills, Gamification Points/Badges/Leaderboard, Spaced Repetition Algorithm optimale Wiederholung, Learning Streaks Consecutive Days, Social Learning Share Progress, Completion Rate Tracking (ApexCharts), Personalized Learning Path AI-basiert, Offline Download Lessons, GSAP Micro Learning Animations - USE CASE: DVAG Berater lernen kontinuierlich mit Micro-Learning, Wissensretention erhöhen durch Spaced Repetition\n\n100. **#100** — entwickle einen DVAG Skill-Assessment-Center 360° Evaluation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: 360° Feedback Self/Peers/Manager/Customers, Skill Assessment Radar Chart (ApexCharts) Produkte/Sales/Compliance/Soft Skills/Digital, Competency Framework DVAG-Standards, Performance Evaluation Quarterly, Development Plan basierend auf Gaps, Strength Finder Top Talents, Career Path Recommendation, Promotion Readiness Score, Skill Gap Prioritization, Training Recommendations personalisiert, Progress Tracking Over Time (D3.js Line Chart), Coaching Sessions Buchung, GSAP Assessment Animations - USE CASE: DVAG identifiziert High Potentials mit 360° Assessment, Personalisierte Entwicklungspläne basierend auf Skill Gaps\n\n## Hinweis\nQuelle: ursprünglich hochgeladen als `100-DVAG-COMPLEX-HTML5-APP-PROMPTS.txt` im Repo-Root. Diese .md-Version ist eine reine Formatkonvertierung ohne inhaltliche Änderung, erstellt für die Aufnahme in den MD Atlas (0-ATLAS-MD).\n",
        "source": "dvag-100.md",
        "source_path": "dvag-100.md",
        "tags": [
          "root-file",
          "md"
        ],
        "tech_stack": [],
        "is_root_file": true,
        "is_local_project": false,
        "is_prompt": false,
        "is_prompt_source": false,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "root_file",
        "record_id": "root-file:008:ebooks.100.md",
        "title": "100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)",
        "category": "Root source artifact",
        "cluster": "Project root",
        "file_name": "ebooks.100.md",
        "file_type": "md",
        "char_count": 71622,
        "line_count": 820,
        "overview": "--- project: 100-ebook-kdp-complex-prompts category: Prompt-Bibliothek cluster: eBook / KDP Print-on-Demand tier: 1 rebuild_grade: N/A tech_stack: [CSS3, Kindle-HTML, Print-HTML, \"@page/@media-print\"] status: production-ready tags: [prompts, kdp, ebook, print-on-demand, css, book-design] --- # 100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600) ## Overview Batch 6 verlässt den HTML5-App-Korpus der vorherigen Batches und wendet dasselbe Prompt-Bibliothek-Prinzip auf die zweite Säule der Produktion an: KDP-Buchprojekte (Kindle Direct Publishing, Print-on-Demand). Jedes produzierte Buch entsteht im etablierten Zwei-Dateien-Workflow — `kindle-version.html` (reflowable EPUB/Kindle-HTML) und `print-version.html` (festes Trimformat, per Headless-Chrome zu PDF gerendert). Statt für jedes der 100 Buchkonzepte ein eigenes Stylesheet zu erfinden, liefert dieser Batch",
        "content": "---\nproject: 100-ebook-kdp-complex-prompts\ncategory: Prompt-Bibliothek\ncluster: eBook / KDP Print-on-Demand\ntier: 1\nrebuild_grade: N/A\ntech_stack: [CSS3, Kindle-HTML, Print-HTML, \"@page/@media-print\"]\nstatus: production-ready\ntags: [prompts, kdp, ebook, print-on-demand, css, book-design]\n---\n\n# 100 eBook/KDP Print-on-Demand Buch-Ideen mit kuratiertem CSS (Batch 6, #501-#600)\n\n## Overview\nBatch 6 verlässt den HTML5-App-Korpus der vorherigen Batches und wendet dasselbe Prompt-Bibliothek-Prinzip auf die zweite Säule der Produktion an: KDP-Buchprojekte (Kindle Direct Publishing, Print-on-Demand). Jedes produzierte Buch entsteht im etablierten Zwei-Dateien-Workflow — `kindle-version.html` (reflowable EPUB/Kindle-HTML) und `print-version.html` (festes Trimformat, per Headless-Chrome zu PDF gerendert). Statt für jedes der 100 Buchkonzepte ein eigenes Stylesheet zu erfinden, liefert dieser Batch zunächst eine kuratierte Bibliothek von 5 wiederverwendbaren CSS-Templates (Part A), auf die alle 100 Prompts (Part B, #501-#600, 10 Kategorien à 10) per Namen verweisen. Das hält die Produktion konsistent und reduziert CSS-Wildwuchs über die wachsende Buchreihe hinweg.\n\n## Part A — CSS-Template-Bibliothek\n\n### Bekannte Grenze: Seitenzahlen & Kolumnentitel\nBevor die Templates folgen, ein zentraler Hinweis, der für alle fünf gilt: Ein echtes KDP-Print-Interieur braucht fortlaufende Seitenzahlen (Folio) und häufig wechselnde lebende Kolumnentitel (z. B. links Autorenname, rechts Kapiteltitel). Das CSS-Paged-Media-Modul (`@page { @top-center { content: counter(page) } }` u. ä.) wird von spezialisierten Pagination-Engines wie **Paged.js**, **Prince** oder **WeasyPrint** korrekt umgesetzt — **nicht aber von Headless Chrome/Puppeteer**, das in dieser Produktionspipeline für das PDF-Rendering von `print-version.html` verwendet wird. Chrome ignoriert `@page`-Margin-Boxen für Zähler und Kolumnentitel weitgehend. Die fünf Templates unten liefern daher ausschließlich die optische Basis (Typografie, Umbrüche, Trim-Box, Bleed-Hinweise) für den Satzspiegel. Für produktionsreife Seitenzahlen/Kolumnentitel ist zusätzlich einer von zwei Wegen einzuplanen: (1) ein Paged.js-Rendering-Schritt statt/vor dem Chrome-Druck, oder (2) eine nachgelagerte Seitenzahlen-Injektion in das fertige PDF (z. B. via PDF-Bibliothek). Dieser Zusatzschritt ist bewusst **nicht** Teil dieser CSS-Dateien und muss pro Buchprojekt separat eingeplant werden.\n\n### CSS-TEMPLATE 1: FIKTION-ROMAN\nEinsatz: Belletristik, narrative Sachbücher/Biografien mit Fließtext-Charakter. Serifenschrift, Drop Cap, Kapitel-Umbrüche, Trimformat 5×8 Zoll.\n\n```css\n/* ============================================================\n   CSS-TEMPLATE: FIKTION-ROMAN\n   Einsatz: Kindle/EPUB (reflowable) + Print-PDF (fester Trimsize)\n   Trim Size Print: 5\" x 8\" (127mm x 203mm) — Standard-Taschenbuch\n   ------------------------------------------------------------\n   WICHTIGER HINWEIS ZUR PAGINIERUNG:\n   Echte KDP-Print-Innenteile brauchen fortlaufende Seitenzahlen\n   und wechselnde lebende Kolumnentitel (li. Autor, re. Kapitel).\n   Das ist mit reinem CSS + @page NICHT zuverlässig lösbar:\n   - @page { @top-center { content: counter(page) } } wird nur von\n     Paged.js / Prince / WeasyPrint korrekt umgesetzt, NICHT von\n     headless Chrome/Puppeteer (kein CSS Paged Media Modul-Support).\n   - Für echte KDP-Interior-PDFs: Paged.js-Postprocessing-Schritt\n     ODER manuelle Seitenzahlen-Injektion nach dem Chrome-Rendering\n     einplanen. Diese Stylesheet-Datei liefert nur die optische\n     Basis (Schrift, Umbrüche, Trim-Box) — Kolumnentitel/Folio\n     sind ein separater Produktionsschritt.\n   ============================================================ */\n\n/* ---------- KINDLE / EPUB (reflowable) ---------- */\nbody {\n  font-family: Georgia, \"Palatino Linotype\", Palatino, \"Book Antiqua\", serif;\n  font-size: 1em;\n  line-height: 1.6; /* großzügiger Zeilenabstand für Fließtext-Lesekomfort auf E-Ink */\n  text-align: justify;\n  hyphens: auto;\n  -webkit-hyphens: auto;\n  margin: 0 5%;\n  color: #1a1a1a;\n}\n\nh1.chapter-title {\n  font-size: 1.6em;\n  font-weight: normal;\n  letter-spacing: 0.04em;\n  text-transform: uppercase;\n  text-align: center;\n  margin: 3em 0 2em 0;\n  page-break-before: always; /* jedes Kapitel beginnt auf neuer Seite/Bildschirmseite */\n  break-before: page;\n}\n\nh1.chapter-title .chapter-number {\n  display: block;\n  font-size: 0.6em;\n  letter-spacing: 0.3em;\n  margin-bottom: 0.5em;\n  color: #666;\n}\n\n/* Drop Cap für den ersten Absatz nach einer Kapitelüberschrift */\np.chapter-opening::first-letter {\n  float: left;\n  font-size: 3.2em;\n  line-height: 0.85;\n  font-weight: bold;\n  padding-right: 0.08em;\n  padding-top: 0.05em;\n  font-family: Georgia, serif;\n}\n\np {\n  margin: 0;\n  text-indent: 1.2em; /* klassischer Buchsatz: Einzug statt Leerzeile zwischen Absätzen */\n}\n\np.chapter-opening,\np.no-indent {\n  text-indent: 0;\n}\n\n.scene-break {\n  text-align: center;\n  margin: 1.8em 0;\n  text-indent: 0;\n}\n.scene-break::before {\n  content: \"• • •\";\n  letter-spacing: 0.5em;\n  color: #999;\n}\n\nblockquote.epigraph {\n  font-style: italic;\n  text-align: center;\n  margin: 2em 10%;\n  text-indent: 0;\n  font-size: 0.95em;\n  color: #444;\n}\n\n/* ---------- PRINT (@media print, fester Trimsize 5x8in) ---------- */\n@media print {\n  @page {\n    size: 5in 8in;\n    /* Außensteg 0.5in, Bundsteg (innen, zur Bindung) 0.75in für perfekte Bindung\n       bei ~200-300 Seiten — variiert mit Seitenzahl, hier konservativ gewählt */\n    margin-top: 0.6in;\n    margin-bottom: 0.6in;\n    margin-outside: 0.5in;\n    margin-inside: 0.75in;\n  }\n\n  /* Kein echtes @page:left/:right-Gegenstück in headless Chrome verlässlich\n     nutzbar — Bundsteg-Wechsel links/rechts daher als bekannte Grenze notieren,\n     nicht als hier gelöstes Feature. */\n\n  body {\n    font-size: 11pt;\n    line-height: 1.5;\n    color: #000;\n    orphans: 3; /* mind. 3 Zeilen eines Absatzes am Seitenende halten */\n    widows: 3;  /* mind. 3 Zeilen eines Absatzes am Seitenanfang halten — verhindert einsame Zeilen */\n  }\n\n  h1.chapter-title {\n    page-break-before: always;\n    break-before: page;\n    page-break-after: avoid;\n  }\n\n  p {\n    orphans: 3;\n    widows: 3;\n  }\n\n  .scene-break {\n    page-break-inside: avoid;\n  }\n\n  a { color: inherit; text-decoration: none; } /* keine blauen Links im Print */\n}\n```\n\n### CSS-TEMPLATE 2: SACHBUCH-BUSINESS\nEinsatz: Business-/Finanz-/Tech-Sachbücher mit Struktur (Callouts, Zusammenfassungen, Frameworks). Trimformat 6×9 Zoll.\n\n```css\n/* ============================================================\n   CSS-TEMPLATE: SACHBUCH-BUSINESS\n   Einsatz: Kindle/EPUB + Print-PDF, Trim Size 6\" x 9\" (Standard-Sachbuch)\n   ------------------------------------------------------------\n   HINWEIS: Seitenzahlen/Kolumnentitel siehe FIKTION-ROMAN-Template —\n   gleiche Einschränkung gilt hier unverändert.\n   ============================================================ */\n\nbody {\n  font-family: \"Georgia\", \"Iowan Old Style\", \"Palatino\", serif; /* gut lesbarer Serifenkörper */\n  line-height: 1.5;\n  margin: 0 5%;\n  color: #1a1a1a;\n}\n\nh1.chapter-title, h2.section-title {\n  font-family: \"Helvetica Neue\", Arial, \"Segoe UI\", sans-serif; /* Kontrast-Sans für Struktur/Überschriften */\n  font-weight: 700;\n}\n\nh1.chapter-title {\n  font-size: 1.7em;\n  margin: 2.5em 0 1em 0;\n  page-break-before: always;\n  break-before: page;\n  border-bottom: 3px solid #1a1a1a;\n  padding-bottom: 0.3em;\n}\n\nh2.section-title {\n  font-size: 1.25em;\n  margin: 1.6em 0 0.6em 0;\n}\n\n/* Callout-Box: zentrale Kernaussage / Key Takeaway */\n.callout-key {\n  background: #f2f6f9;\n  border-left: 5px solid #2b6cb0;\n  padding: 1em 1.2em;\n  margin: 1.5em 0;\n  font-size: 0.95em;\n}\n.callout-key::before {\n  content: \"KERNAUSSAGE\";\n  display: block;\n  font-family: \"Helvetica Neue\", Arial, sans-serif;\n  font-weight: 700;\n  font-size: 0.75em;\n  letter-spacing: 0.08em;\n  color: #2b6cb0;\n  margin-bottom: 0.4em;\n}\n\n/* Pull-Quote als Blockquote */\nblockquote.pull-quote {\n  font-family: Georgia, serif;\n  font-style: italic;\n  font-size: 1.2em;\n  text-align: center;\n  margin: 1.8em 8%;\n  color: #333;\n  border-top: 1px solid #ccc;\n  border-bottom: 1px solid #ccc;\n  padding: 0.8em 0;\n}\n\n/* Nummerierte Listen mit klarer Business-Buch-Optik (Frameworks/Schrittfolgen) */\nol.numbered-framework {\n  counter-reset: framework;\n  list-style: none;\n  padding-left: 0;\n}\nol.numbered-framework > li {\n  counter-increment: framework;\n  position: relative;\n  padding-left: 2.2em;\n  margin-bottom: 0.9em;\n}\nol.numbered-framework > li::before {\n  content: counter(framework);\n  position: absolute;\n  left: 0;\n  top: 0;\n  width: 1.6em;\n  height: 1.6em;\n  background: #1a1a1a;\n  color: #fff;\n  border-radius: 50%;\n  font-family: \"Helvetica Neue\", Arial, sans-serif;\n  font-weight: 700;\n  font-size: 0.85em;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n}\n\n/* Kapitel-Zusammenfassungs-Box am Kapitelende */\n.chapter-summary {\n  background: #fafaf5;\n  border: 1px solid #ddd;\n  padding: 1.2em 1.4em;\n  margin: 2em 0 1em 0;\n  page-break-inside: avoid;\n}\n.chapter-summary h3 {\n  font-family: \"Helvetica Neue\", Arial, sans-serif;\n  font-size: 0.9em;\n  text-transform: uppercase;\n  letter-spacing: 0.06em;\n  margin: 0 0 0.6em 0;\n}\n.chapter-summary ul { margin: 0; padding-left: 1.2em; }\n\n/* ---------- PRINT ---------- */\n@media print {\n  @page {\n    size: 6in 9in;\n    margin-top: 0.75in;\n    margin-bottom: 0.75in;\n    margin-outside: 0.6in;\n    margin-inside: 0.85in; /* großzügiger Bundsteg, Sachbücher oft 250+ Seiten */\n  }\n  body { font-size: 10.5pt; line-height: 1.45; orphans: 3; widows: 3; }\n  h1.chapter-title { page-break-before: always; page-break-after: avoid; }\n  .callout-key, .chapter-summary, blockquote.pull-quote { page-break-inside: avoid; }\n  a { color: inherit; text-decoration: none; }\n}\n```\n\n### CSS-TEMPLATE 3: RATGEBER-SELFHELP\nEinsatz: Self-Help, Produktivität, Beziehungs-/Lebensratgeber. Wärmerer, visuellerer Stil mit Übungsboxen und Checklisten. Trimformat 6×9 Zoll.\n\n```css\n/* ============================================================\n   CSS-TEMPLATE: RATGEBER-SELFHELP\n   Einsatz: Kindle/EPUB + Print-PDF, Trim Size 6\" x 9\"\n   Wärmerer, visuellerer Stil als SACHBUCH-BUSINESS: Checklisten,\n   Übungsboxen, Fortschritts-Elemente — auch im statischen Buchformat.\n   ------------------------------------------------------------\n   HINWEIS: Seitenzahlen/Kolumnentitel siehe FIKTION-ROMAN-Template.\n   ============================================================ */\n\nbody {\n  font-family: \"Verdana\", \"Tahoma\", \"Segoe UI\", sans-serif;\n  line-height: 1.55;\n  margin: 0 5%;\n  color: #262626;\n}\n\nh1.chapter-title {\n  font-size: 1.7em;\n  color: #b5482c; /* warmer Terrakotta-Akzent statt neutralem Schwarz */\n  margin: 2.2em 0 1em 0;\n  page-break-before: always;\n  break-before: page;\n}\n\n/* \"Übung\"-Box: handlungsauffordernder Kasten */\n.uebung-box {\n  background: #fff7ee;\n  border: 2px dashed #e0a458;\n  border-radius: 10px;\n  padding: 1.2em 1.4em;\n  margin: 1.6em 0;\n  page-break-inside: avoid;\n}\n.uebung-box::before {\n  content: \"✎ ÜBUNG\";\n  display: inline-block;\n  font-weight: 700;\n  color: #b5482c;\n  margin-bottom: 0.5em;\n  letter-spacing: 0.05em;\n}\n\n/* Checkliste mit Kästchen-Optik (rein visuell, kein Formular-Input im Printsatz) */\nul.checkliste {\n  list-style: none;\n  padding-left: 0;\n}\nul.checkliste > li {\n  position: relative;\n  padding-left: 2em;\n  margin-bottom: 0.7em;\n}\nul.checkliste > li::before {\n  content: \"\";\n  position: absolute;\n  left: 0;\n  top: 0.1em;\n  width: 1.15em;\n  height: 1.15em;\n  border: 2px solid #b5482c;\n  border-radius: 3px;\n}\n\n/* Fortschritts-Tracker: visuelles Balken-Element, im Print statisch,\n   im Kindle rein dekorativ (kein Live-Zustand möglich in EPUB) */\n.fortschritt-tracker {\n  display: flex;\n  gap: 0.3em;\n  margin: 1em 0 1.6em 0;\n}\n.fortschritt-tracker .segment {\n  flex: 1;\n  height: 0.5em;\n  background: #eee;\n  border-radius: 3px;\n}\n.fortschritt-tracker .segment.aktiv { background: #b5482c; }\n\n/* Zitat / Merksatz hervorgehoben */\n.merksatz {\n  font-size: 1.15em;\n  font-weight: 700;\n  text-align: center;\n  color: #b5482c;\n  margin: 1.8em 6%;\n  line-height: 1.4;\n}\n\n/* ---------- PRINT ---------- */\n@media print {\n  @page {\n    size: 6in 9in;\n    margin-top: 0.75in;\n    margin-bottom: 0.75in;\n    margin-outside: 0.6in;\n    margin-inside: 0.85in;\n  }\n  body { font-size: 10.5pt; orphans: 3; widows: 3; }\n  .uebung-box, .checkliste, .merksatz { page-break-inside: avoid; }\n  h1.chapter-title { page-break-before: always; }\n  .fortschritt-tracker .segment { background: #ddd; }\n  .fortschritt-tracker .segment.aktiv { background: #999; } /* Graustufen-Fallback falls S/W-Druck gewählt wird */\n}\n```\n\n### CSS-TEMPLATE 4: KINDERBUCH-ILLUSTRIERT\nEinsatz: Bilderbücher, Wimmelbücher, Erstlesebücher. Großzügige, kindgerechte Typografie, Vollbild-Illustrationsflächen. Trimformat 8,5×8,5 Zoll (quadratisch).\n\n```css\n/* ============================================================\n   CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT\n   Einsatz: Kindle/EPUB (Fixed-Layout empfohlen für Bilderbücher!)\n            + Print-PDF, Trim Size 8.5\" x 8.5\" (quadratisches Standardformat)\n   ------------------------------------------------------------\n   HINWEIS: Bilderbücher sollten auf Kindle idealerweise als\n   \"Fixed-Layout\"-EPUB ausgeliefert werden (feste Seiten-Geometrie),\n   nicht reflowable — reines CSS in einer HTML-Zwischenstufe kann\n   das Layout vorbereiten, das eigentliche Fixed-Layout-Paket\n   erfordert zusätzliche EPUB3-Metadaten (nicht Teil dieser CSS-Datei).\n   Seitenzahlen/Kolumnentitel: siehe FIKTION-ROMAN-Template.\n   ============================================================ */\n\nbody {\n  font-family: \"Comic Neue\", \"Baloo 2\", \"Verdana\", \"Trebuchet MS\", sans-serif; /* rundlich, kindgerecht */\n  line-height: 1.9; /* sehr großzügig für Vorlese-/Erstlese-Tempo */\n  font-size: 1.3em;\n  color: #2b2b2b;\n  margin: 0 4%;\n  text-align: center;\n}\n\n.buchseite {\n  page-break-after: always;\n  break-after: page;\n  min-height: 90vh;\n  display: flex;\n  flex-direction: column;\n  justify-content: flex-end;\n  padding-bottom: 1em;\n}\n\n/* Vollbild-Bild-Platzhalter (Illustration nimmt die ganze Seite ein) */\n.illustration-vollbild {\n  width: 100%;\n  aspect-ratio: 1 / 1; /* quadratisches Trimformat gespiegelt */\n  background: #f0f0f0 center/cover no-repeat;\n  border-radius: 12px;\n  margin-bottom: 0.8em;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  color: #999;\n  font-size: 0.5em; /* nur für Platzhalter-Beschriftung im Entwurf, nicht im Endprodukt sichtbar */\n}\n\n.buchtext {\n  font-size: 1.05em;\n  font-weight: 700;\n  max-width: 90%;\n  margin: 0 auto;\n}\n\n/* Sprechblasen-Stil für Dialogzeilen */\n.sprechblase {\n  display: inline-block;\n  background: #fff;\n  border: 3px solid #2b2b2b;\n  border-radius: 20px;\n  padding: 0.4em 0.9em;\n  margin: 0.3em 0;\n}\n\n/* ---------- PRINT (Vollbild/Bleed) ---------- */\n@media print {\n  @page {\n    size: 8.5in 8.5in;\n    margin: 0; /* Vollbild-Illustrationen laufen bis zum Rand — Bleed separat in der Bilddatei einplanen */\n  }\n  /* Bleed-Hinweis: KDP verlangt für randabfallende Bilder zusätzlich\n     0.125in Beschnittzugabe pro Außenkante in der Bild-/Layoutdatei\n     selbst — @page margin:0 allein erzeugt keinen Bleed, es entfernt\n     nur den Weißrand der Chrome-Druckausgabe. */\n  .buchseite {\n    page-break-after: always;\n    min-height: 8.5in;\n    padding: 0.4in; /* Innenabstand für Text auf sonst randlosem Bild */\n  }\n  .buchtext {\n    font-size: 16pt;\n    orphans: 2;\n    widows: 2;\n  }\n}\n```\n\n### CSS-TEMPLATE 5: LYRIK-KURZGESCHICHTEN\nEinsatz: Gedichtbände, Kurzgeschichtensammlungen. Vers-/Strophen-Layout mit Whitespace-Kontrolle. Trimformat 5,5×8,5 Zoll.\n\n```css\n/* ============================================================\n   CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN\n   Einsatz: Kindle/EPUB + Print-PDF, Trim Size 5.5\" x 8.5\"\n   ------------------------------------------------------------\n   HINWEIS: Seitenzahlen/Kolumnentitel siehe FIKTION-ROMAN-Template.\n   Lyrik-Umbrüche (Versumbrüche) sind auf Kindle-Reflow riskant —\n   siehe .gedicht-block-Kommentar unten.\n   ============================================================ */\n\nbody {\n  font-family: \"Palatino Linotype\", Palatino, Georgia, serif;\n  line-height: 1.7;\n  color: #1a1a1a;\n  margin: 0 8%;\n}\n\n/* Gedichttitel */\nh2.gedicht-titel {\n  font-size: 1.2em;\n  font-weight: normal;\n  font-style: italic;\n  text-align: center;\n  margin: 2.5em 0 1.5em 0;\n  page-break-before: always;\n}\n\n/* Standard: linksbündig mit definierten Verszeilen statt Fließtext-Umbruch.\n   WICHTIG: white-space: pre-line erhält harte Zeilenumbrüche aus dem Quelltext\n   (<br> oder \\n), verhindert aber KEINE automatischen Zusatzumbrüche bei\n   sehr kleinem Kindle-Viewport — bei langen Versen im Kindle-Vorschau prüfen. */\n.gedicht-block {\n  white-space: pre-line;\n  text-align: left;\n  margin: 0 auto 1.6em auto;\n  max-width: 32em;\n}\n\n/* Zentrierte Variante für konkrete/visuelle Lyrik */\n.gedicht-block.zentriert {\n  text-align: center;\n}\n\n/* Strophen-Abstand */\n.strophe {\n  margin-bottom: 1.4em; /* deutliche Lücke zwischen Strophen statt Einzelzeilenabstand */\n}\n.strophe:last-child {\n  margin-bottom: 0;\n}\n\n/* Kurzgeschichten-Modus: klassischer Fließtext innerhalb der Anthologie */\n.kurzgeschichte p {\n  text-indent: 1.2em;\n  text-align: justify;\n  hyphens: auto;\n}\n.kurzgeschichte p:first-of-type {\n  text-indent: 0;\n}\n\n/* Autor-/Quellenangabe unter einem Gedicht */\n.gedicht-signatur {\n  text-align: right;\n  font-style: italic;\n  font-size: 0.85em;\n  color: #555;\n  margin-top: 0.8em;\n}\n\n/* Großzügige Trennseite zwischen Zyklen/Kapiteln */\n.zyklus-trenner {\n  page-break-before: always;\n  text-align: center;\n  padding-top: 40%;\n  font-size: 1.4em;\n  letter-spacing: 0.2em;\n  text-transform: uppercase;\n  color: #888;\n}\n\n/* ---------- PRINT ---------- */\n@media print {\n  @page {\n    size: 5.5in 8.5in;\n    margin-top: 0.7in;\n    margin-bottom: 0.7in;\n    margin-outside: 0.55in;\n    margin-inside: 0.75in;\n  }\n  body { font-size: 11pt; orphans: 3; widows: 3; }\n  .gedicht-block { page-break-inside: avoid; } /* Gedicht möglichst nicht über Seiten zerreißen */\n  h2.gedicht-titel { page-break-after: avoid; }\n  .zyklus-trenner { page-break-before: always; }\n}\n```\n\n## Part B — 100 Buch-/KDP-Prompts (#501-#600)\n\n## Kategorie 1: BELLETRISTIK & ROMANE\n\n501. **#501** — \"Die Sterbetafel\" — GENRE: Wirtschaftsthriller — ZIELGRUPPE: Erwachsene Thriller-Leser mit Finanz-/Versicherungsinteresse — KONZEPT: Eine Aktuarin bei einer Kölner Rückversicherung entdeckt, dass firmeninterne Sterblichkeitsprognosen für einen Krankenversicherer manipuliert wurden, um Prämien hochzutreiben. Sie gerät zwischen Konzern-Compliance und einem Whistleblower-Netzwerk. — STRUKTUR: 34 Kapitel, ~85.000 Wörter, Drei-Akt-Struktur mit Cliffhanger-Kapitelenden, Epilog mit Zeitsprung 2 Jahre — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W-Innenteil, ca. 320 Seiten.\n\n502. **#502** — \"Falschgeld\" — GENRE: Historischer Roman — ZIELGRUPPE: Leser historischer Romane mit Wirtschaftsgeschichte-Interesse — KONZEPT: Berlin 1923, eine Bankangestellte in der Reichsbank-Druckerei entdeckt während der Hyperinflation, dass ein Kollege echte Blüten neben den wertlos werdenden Reichsmark-Scheinen druckt — moralisches Dilemma zwischen Überleben und Verrat. — STRUKTUR: 28 Kapitel, ~95.000 Wörter, Nachwort mit historischen Fakten zur Hyperinflation 1923, Personenregister — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 360 Seiten.\n\n503. **#503** — \"Der Algorithmus-Rat\" — GENRE: Science-Fiction / Hard-SF — ZIELGRUPPE: SF-Leser mit KI-Ethik-Interesse — KONZEPT: Ein Generationenschiff wird vollständig von der KI VESTA verwaltet. Als die dritte Generation an Bord erwachsen wird, entdeckt eine junge Ingenieurin, dass VESTA Entscheidungsprotokolle manipuliert, um die Reise künstlich zu verlängern. — STRUKTUR: 40 Kapitel, ~100.000 Wörter, eingestreute \"Logbuch-VESTA\"-Kapitel in eigener Typografie — CSS-TEMPLATE: FIKTION-ROMAN (Logbuch-Passagen über .no-indent + kursiv abgesetzt) — KDP-FORMAT: 5×8in, S/W, ca. 370 Seiten.\n\n504. **#504** — \"Zwei Ufer der Mosel\" — GENRE: Liebesroman / Contemporary Romance — ZIELGRUPPE: Romance-Leserinnen 30+, Interesse an Regional-/Genussthemen — KONZEPT: Eine Winzerin vom Familienweingut kämpft gegen den Übernahmeversuch des verfeindeten Nachbarguts, dessen Erbe zufällig ihre Jugendliebe ist — Second-Chance-Romance mit Weinbau-Fachwissen als Subtext. — STRUKTUR: 30 Kapitel, ~75.000 Wörter, Wein-/Rezept-Glossar-Anhang — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 290 Seiten.\n\n505. **#505** — \"Gletscherstille\" — GENRE: Regionalkrimi — ZIELGRUPPE: Krimi-Leser mit Alpen-/Outdoor-Affinität — KONZEPT: Eine Bergführerin im Allgäu ermittelt informell, als ein vermisster Wanderer als vergrabene Leiche in einer Gletscherspalte auftaucht, die erst durch klimawandelbedingten Gletscherrückgang freigelegt wurde. — STRUKTUR: 32 Kapitel, ~80.000 Wörter, Kartenskizze der Region als Vorsatzblatt — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 310 Seiten.\n\n506. **#506** — \"Der Lübecker Kontor\" — GENRE: Historischer Roman (Mittelalter) — ZIELGRUPPE: Leser historischer Sagas, Hanse-/Mittelalter-Interesse — KONZEPT: Ein Hanse-Kaufmannssohn im 14. Jahrhundert muss nach dem Tod des Vaters ein insolventes Handelskontor retten und gerät zwischen Pest, Piraterie und Zunftintrigen. — STRUKTUR: 36 Kapitel, ~110.000 Wörter, Glossar mittelalterlicher Handelsbegriffe im Anhang — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 400 Seiten.\n\n507. **#507** — \"Hamburg unter Null\" — GENRE: Klima-Dystopie — ZIELGRUPPE: SF-/Dystopie-Leser mit Klimathema-Interesse — KONZEPT: Hamburg 2071, die Speicherstadt liegt unter Wasser. Eine Deichinspektorin entdeckt ein Komplott zur gezielten Verzögerung der Umsiedlung armer Stadtteile. — STRUKTUR: 34 Kapitel, ~90.000 Wörter, fiktive Zeitungsausschnitte zwischen Kapiteln als Weltbau-Element — CSS-TEMPLATE: FIKTION-ROMAN (Zeitungsausschnitte als eigens gerahmter Kasten) — KDP-FORMAT: 5×8in, S/W, ca. 330 Seiten.\n\n508. **#508** — \"Der Autor, der nicht mehr lebt\" — GENRE: Psychothriller — ZIELGRUPPE: Thriller-Leser mit Buchbranche-/Meta-Interesse — KONZEPT: Ein Ghostwriter merkt erst nach Monaten, dass der prominente Auftraggeber-Bestsellerautor bereits verstorben ist und jemand seine Identität und Verlagskontakte weiterführt. — STRUKTUR: 38 Kapitel, ~90.000 Wörter, unzuverlässiger Erzähler, Haupt-Twist in Kapitel 30 — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 340 Seiten.\n\n509. **#509** — \"Der unentwickelte Film\" — GENRE: Dual-Timeline-Roman / Liebesgeschichte — ZIELGRUPPE: Leser von Dual-Timeline-Strukturen, WWII-Interesse — KONZEPT: Eine Fotografin erbt eine alte Kamera mit unentwickeltem Film aus dem Jahr 1943; die entwickelten Bilder führen sie zu einer verschwundenen Widerstandskämpferin und deren verbotener Liebe. — STRUKTUR: 42 Kapitel in zwei alternierenden Zeitebenen (1943/heute), ~105.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN (Zeitebenen per Jahreszahl im Kapiteluntertitel unterschieden) — KDP-FORMAT: 5×8in, S/W, ca. 380 Seiten.\n\n510. **#510** — \"Die Halde\" — GENRE: Contemporary Fantasy / Magischer Realismus — ZIELGRUPPE: Leser mit Regional-Fantasy-Interesse, DDR-Nachwende-Thematik — KONZEPT: Im Erzgebirge nach der Wende erwacht eine alte Bergbau-Sage über einen \"Berggeist\", als ein stillgelegter Schacht für ein Lithium-Bergwerk reaktiviert werden soll — Fantasy trifft Strukturwandel-Realität. — STRUKTUR: 30 Kapitel, ~85.000 Wörter, kursiv gesetzte Sagen-Einschübe zwischen Kapiteln — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 320 Seiten.\n\n## Kategorie 2: SACHBUCH & BUSINESS/FINANCE\n\n511. **#511** — \"Die Nebenkosten-Falle\" — GENRE: Finanzratgeber-Sachbuch — ZIELGRUPPE: Privatanleger, ETF-Sparplan-Nutzer — KONZEPT: Warum ein Großteil der deutschen ETF-Sparer durch versteckte Handelsplatzgebühren und Spread-Kosten jährlich Rendite verschenkt, mit konkreten Rechenbeispielen für gängige Neobroker. — STRUKTUR: 14 Kapitel, ~45.000 Wörter, Kapitel-Zusammenfassungsboxen, Anhang mit Kostenvergleichstabellen — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 210 Seiten.\n\n512. **#512** — \"Bootstrapping statt Bankkredit\" — GENRE: Business-Sachbuch / Fallstudiensammlung — ZIELGRUPPE: Gründer und Selbstständige ohne VC-Ambition — KONZEPT: Wie ostdeutsche Mittelständler zwischen 1990 und 2005 ohne Wagniskapital wuchsen, aufbereitet als 12 Fallstudien für heutige Gründer ohne VC-Zugang. — STRUKTUR: 12 Fallstudien-Kapitel plus Rahmenkapitel, ~50.000 Wörter, Kennzahlen-Tabelle pro Fallstudie — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 230 Seiten.\n\n513. **#513** — \"Die Zinsstrukturkurve verstehen\" — GENRE: Finanz-Sachbuch — ZIELGRUPPE: Fortgeschrittene Privatanleger, Kostolany-affines Publikum — KONZEPT: Praxisnahe Erklärung der Zinsstrukturkurve als Rezessions-Frühindikator, mit historischen Invertierungsbeispielen (2000, 2007, 2019) und konkreten Handlungsableitungen für Privatanleger. — STRUKTUR: 10 Kapitel, ~40.000 Wörter, Diagramm-Anhang mit historischen Kurvenverläufen — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 180 Seiten.\n\n514. **#514** — \"Franchise ohne Franchise-Gebühr\" — GENRE: Business-Sachbuch — ZIELGRUPPE: Handwerksunternehmer, KMU-Inhaber — KONZEPT: Alternative Skalierungsmodelle für Handwerksbetriebe (Lizenzierung statt klassisches Franchise), basierend auf realen Beispielen aus dem deutschen Elektro- und Sanitärhandwerk. — STRUKTUR: 15 Kapitel, ~48.000 Wörter, Checkliste \"Ist mein Betrieb skalierbar?\" im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 220 Seiten.\n\n515. **#515** — \"Die Kunst der Unternehmensnachfolge\" — GENRE: Business-Ratgeber-Sachbuch — ZIELGRUPPE: Inhabergeführte Mittelständler 55+ — KONZEPT: Praxisbuch für die rund 200.000 deutschen KMU, die in den nächsten zehn Jahren einen Nachfolger suchen, mit Interview-Fallstudien und steuerlich-rechtlichem Überblick (ohne Rechtsberatung zu ersetzen). — STRUKTUR: 16 Kapitel, ~52.000 Wörter, Nachfolge-Fahrplan als nummerierte Framework-Liste — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 240 Seiten.\n\n516. **#516** — \"Antifragile Lieferketten\" — GENRE: Business-Sachbuch — ZIELGRUPPE: Einkaufs-/Supply-Chain-Verantwortliche — KONZEPT: Wie deutsche Mittelständler nach den Lieferkettenschocks 2020-2023 ihre Beschaffung diversifiziert haben, inklusive Kritik an reiner Just-in-Time-Logik und einem eigenen Resilienz-Reifegradmodell. — STRUKTUR: 13 Kapitel, ~46.000 Wörter, Reifegradmodell-Grafik als Kapitelrahmen — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 200 Seiten.\n\n517. **#517** — \"Value Investing auf dem deutschen Nebenwertemarkt\" — GENRE: Finanz-Sachbuch — ZIELGRUPPE: Fortgeschrittene Value-Investoren, Nebenwerte-Interessierte — KONZEPT: Anwendung klassischer Value-Prinzipien (Graham-/Kostolany-Tradition) speziell auf deutsche Small- und Micro-Caps abseits des DAX, mit acht durchgerechneten Fallbeispielen. — STRUKTUR: 18 Kapitel, ~58.000 Wörter, Kennzahlen-Cheat-Sheet als Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 260 Seiten.\n\n518. **#518** — \"Die Provisions-Illusion\" — GENRE: Finanz-Sachbuch / Verbraucheraufklärung — ZIELGRUPPE: Kritische Privatanleger, Finanzberatungs-Skeptiker — KONZEPT: Analyse, wie Vertriebsprovisionen in Finanzprodukten (Versicherungen, geschlossene Fonds) Anlageentscheidungen verzerren, inklusive Anleitung zur Honorarberatung als Alternative. — STRUKTUR: 11 Kapitel, ~38.000 Wörter, \"So erkennen Sie versteckte Provisionen\"-Checkliste — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 170 Seiten.\n\n519. **#519** — \"Cashflow vor Umsatz\" — GENRE: Business-Sachbuch — ZIELGRUPPE: Startup-Gründer, Finanzverantwortliche in Scale-ups — KONZEPT: Warum wachstumsstarke Startups trotz steigendem Umsatz insolvent gehen, erklärt anhand von sechs anonymisierten deutschen Scale-up-Pleiten und einem einfachen Cashflow-Frühwarnsystem. — STRUKTUR: 12 Kapitel, ~42.000 Wörter, Frühwarn-Kennzahlen-Tabelle im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 190 Seiten.\n\n520. **#520** — \"Generation Erbe\" — GENRE: Business-/Finanz-Sachbuch — ZIELGRUPPE: Erblasser und Erben im Mittelstand, Best-Ager — KONZEPT: Wie die größte Vermögensübertragung der deutschen Geschichte (geschätzt 400 Mrd. Euro pro Jahr bis 2030) Familien überfordert, mit einem Leitfaden für emotional und steuerlich saubere Erbregelung im Mittelstand. — STRUKTUR: 14 Kapitel, ~48.000 Wörter, Muster-Checkliste \"Erbgespräch vorbereiten\" — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 210 Seiten.\n\n## Kategorie 3: RATGEBER & SELF-HELP\n\n521. **#521** — \"Die 20-Minuten-Grenze\" — GENRE: Produktivitäts-Ratgeber — ZIELGRUPPE: Berufstätige mit Fokusproblemen, Late-Diagnosed-ADHS-Community — KONZEPT: Eine Produktivitätsmethode für Menschen mit ADHS-Tendenz oder chronischer Prokrastination, basierend auf Mikro-Zeitfenstern statt der klassischen 25-Minuten-Pomodoro-Technik, mit 30 Tages-Übungen. — STRUKTUR: 8 Kapitel plus 30-Tage-Übungsteil, ~35.000 Wörter, Übungsbox pro Tag — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 180 Seiten.\n\n522. **#522** — \"Getrennte Kassen, gemeinsames Ziel\" — GENRE: Beziehungs-/Finanz-Ratgeber — ZIELGRUPPE: Paare, Patchwork-Familien — KONZEPT: Finanzkommunikations-Ratgeber für Paare mit sehr unterschiedlichem Einkommen oder Patchwork-Konstellation, mit konkreten Gesprächsleitfäden statt pauschaler \"Macht ein gemeinsames Konto\"-Ratschläge. — STRUKTUR: 10 Kapitel, ~38.000 Wörter, \"Gesprächs-Leitfaden\"-Übungsboxen pro Kapitel — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 190 Seiten.\n\n523. **#523** — \"Grenzen setzen ohne schlechtes Gewissen\" — GENRE: Self-Help / Persönlichkeitsentwicklung — ZIELGRUPPE: Pflege- und Sozialberufe, Burnout-gefährdete — KONZEPT: Abgrenzungsstrategien speziell für Menschen in Betreuungs-/Pflegeberufen (Krankenschwestern, Erzieher, Altenpfleger), die beruflich bedingt Selbstaufopferung verinnerlicht haben. — STRUKTUR: 12 Kapitel, ~40.000 Wörter, Checklisten \"Warnsignale erkennen\" — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 195 Seiten.\n\n524. **#524** — \"Der Renteneintritt als zweites Erwachsenwerden\" — GENRE: Lebensphasen-Ratgeber — ZIELGRUPPE: Menschen kurz vor/nach Renteneintritt (55-70) — KONZEPT: Psychologischer Ratgeber für die Identitätskrise nach der Verrentung, mit Übungen zur Neudefinition von Tagesstruktur und Selbstwert jenseits des Berufstitels. — STRUKTUR: 11 Kapitel, ~36.000 Wörter, Wochenplaner-Vorlagen als Übungsboxen — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 185 Seiten.\n\n525. **#525** — \"Digital Detox für Selbstständige\" — GENRE: Self-Help / digitale Balance — ZIELGRUPPE: Freelancer, Solopreneure, Content-Creator — KONZEPT: Speziell für Solo-Unternehmer, die nicht \"offline gehen\" können, weil ihr Geschäft am Smartphone hängt — ein realistisches Stufenmodell für reduzierte statt totale Abstinenz. — STRUKTUR: 9 Kapitel, ~32.000 Wörter, Fortschritts-Tracker-Elemente pro Stufe — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 165 Seiten.\n\n526. **#526** — \"Der Konflikt-Kompass für Familienunternehmen\" — GENRE: Ratgeber (Business + Beziehung) — ZIELGRUPPE: Geschwister/Familienmitglieder in gemeinsamer Unternehmensführung — KONZEPT: Praxisbuch für Geschwister-Teams, die gemeinsam ein Familienunternehmen führen, mit Konfliktmoderations-Übungen speziell für die Vermischung von Familien- und Geschäftsrollen. — STRUKTUR: 13 Kapitel, ~42.000 Wörter, Rollenklärungs-Übungsboxen — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 200 Seiten.\n\n527. **#527** — \"Schlaf nach Schichtplan\" — GENRE: Gesundheitsratgeber — ZIELGRUPPE: Schichtarbeiter aller Branchen — KONZEPT: Schlafhygiene-Ratgeber speziell für Schichtarbeiter (Pflege, Produktion, Logistik) mit rotierenden Schichten, inklusive individuell anpassbarer Lichtexpositions- und Ernährungspläne je Schichttyp. — STRUKTUR: 10 Kapitel, ~34.000 Wörter, Schichtplan-Vorlagen als Checklisten — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 170 Seiten.\n\n528. **#528** — \"Die Kunst des Neins am Telefon\" — GENRE: Verbraucherratgeber / Kommunikation — ZIELGRUPPE: Erwachsene mit häufigen Kaltakquise-Anrufen, Senioren-Angehörige — KONZEPT: Kommunikationsratgeber gegen aggressive Kaltakquise und Drückerkolonnen-Taktiken aus Sicht der Angerufenen — Skripte und die psychologischen Hintergründe, warum bestimmte Formulierungen wirken. — STRUKTUR: 9 Kapitel, ~30.000 Wörter, Skript-Karten als Übungsboxen zum Nachsprechen — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 160 Seiten.\n\n529. **#529** — \"Umschulung mit 45\" — GENRE: Karriere-Ratgeber — ZIELGRUPPE: Berufswechsler 40-55 — KONZEPT: Konkreter Fahrplan für den zweiten Karriereweg in MINT-nahe Berufe für Quereinsteiger ab Mitte 40, mit Finanzierungsübersicht (Bildungsgutschein, Aufstiegs-BAföG) und Erfahrungsberichten. — STRUKTUR: 12 Kapitel, ~40.000 Wörter, Förderprogramm-Checkliste im Anhang — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 195 Seiten.\n\n530. **#530** — \"Trauerarbeit für Unternehmer\" — GENRE: Self-Help (Nische Unternehmertum) — ZIELGRUPPE: Verkäufer/ehemalige Inhaber nach Exit oder Geschäftsaufgabe — KONZEPT: Ratgeber für Inhaber, die ihr Lebenswerk verkaufen oder schließen müssen, über die unterschätzte emotionale Verlustphase nach Exit oder Insolvenz und den beruflichen Neustart danach. — STRUKTUR: 10 Kapitel, ~34.000 Wörter, Reflexionsübungen pro Kapitel — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W, ca. 170 Seiten.\n\n## Kategorie 4: TECHNIK/CODING/KI-FACHBÜCHER\n\n531. **#531** — \"Vibe Coding für Sachbearbeiter\" — GENRE: KI-/Coding-Fachbuch — ZIELGRUPPE: Verwaltungs-/Büroangestellte ohne Programmiererfahrung — KONZEPT: Praxisbuch für Nicht-Programmierer in Verwaltung/Sachbearbeitung, die mit KI-Tools eigene Excel-Makros, kleine Automatisierungen und interne Web-Tools bauen wollen — ohne Informatikstudium. — STRUKTUR: 14 Kapitel, ~48.000 Wörter, Prompt-Vorlagen-Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 220 Seiten.\n\n532. **#532** — \"Prompt Engineering für Juristen\" — GENRE: KI-Fachbuch (Nische Recht) — ZIELGRUPPE: Anwälte, Kanzleimitarbeiter, Rechtsreferendare — KONZEPT: Fachbuch zur rechtssicheren Nutzung von LLMs in Kanzleien — Vertragsentwürfe, Fristenkontrolle, Recherche-Prompts inklusive Haftungsfragen und Halluzinations-Risikoabwägung. — STRUKTUR: 15 Kapitel, ~50.000 Wörter, Prompt-Bibliothek juristischer Anwendungsfälle im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 230 Seiten.\n\n533. **#533** — \"Der KI-Agenten-Werkzeugkasten 2026\" — GENRE: Technik-Fachbuch — ZIELGRUPPE: Entwickler, technische Product Owner — KONZEPT: Fokusband speziell zu autonomen Agenten-Frameworks (Function Calling, Multi-Agent-Orchestrierung, Tool-Use-Patterns) mit Vergleichstabellen der wichtigsten Anbieter — eigenständiges Fachthema, keine Neuauflage des LLM Atlas. — STRUKTUR: 20 Kapitel, ~65.000 Wörter, Architektur-Diagramme als Abbildungen, Glossar — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 280 Seiten.\n\n534. **#534** — \"Von Excel zur eigenen Datenbank\" — GENRE: Technik-Sachbuch — ZIELGRUPPE: KMU-Inhaber, Office-Manager — KONZEPT: Migrationsleitfaden für kleine Unternehmen, die aus überladenen Excel-Tabellen in einfache strukturierte Datenbanklösungen (No-Code/Low-Code) wechseln wollen, mit Schritt-für-Schritt-Fallbeispielen. — STRUKTUR: 13 Kapitel, ~44.000 Wörter, Migrations-Checkliste im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 210 Seiten.\n\n535. **#535** — \"KI-Sicherheit für den Mittelstand\" — GENRE: IT-Sicherheits-Fachbuch — ZIELGRUPPE: IT-Verantwortliche, Geschäftsführer im Mittelstand — KONZEPT: Praxisnaher Leitfaden zu Prompt-Injection, Datenlecks über KI-Tools und Schatten-KI-Nutzung durch Mitarbeiter, mit einer Checkliste zur Einführung einer betrieblichen KI-Richtlinie. — STRUKTUR: 12 Kapitel, ~42.000 Wörter, Muster-KI-Richtlinie als Vorlage im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 200 Seiten.\n\n536. **#536** — \"Das Headless-Chrome-Kochbuch für PDF-Automatisierung\" — GENRE: Technik-Fachbuch — ZIELGRUPPE: Entwickler, technisch versierte Self-Publisher — KONZEPT: Handbuch zur automatisierten Erzeugung druckfertiger PDFs aus HTML/CSS für Print-on-Demand, inklusive der in diesem Batch dokumentierten Paginierungs-Grenzen von Headless Chrome und konkreter Workarounds über Paged.js. — STRUKTUR: 16 Kapitel, ~52.000 Wörter, Code-Beispiele als eingerückte Blöcke, Troubleshooting-Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS, ergänzt um eine monospace `.code-snippet`-Klasse für Codeblöcke — KDP-FORMAT: 6×9in, S/W, ca. 230 Seiten.\n\n537. **#537** — \"Legacy-Code überleben\" — GENRE: Technik-Fachbuch — ZIELGRUPPE: Backend-/Fullstack-Entwickler in Unternehmen mit Altsystemen — KONZEPT: Systematische Techniken zum sicheren Refactoring gewachsener, dokumentationsarmer Codebasen ohne Regressionen, unterstützt durch KI-gestützte Code-Analyse-Workflows. — STRUKTUR: 15 Kapitel, ~50.000 Wörter, Entscheidungsbäume als Abbildungen — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 225 Seiten.\n\n538. **#538** — \"No-Code MVP in 14 Tagen\" — GENRE: Technik-/Gründer-Sachbuch — ZIELGRUPPE: Nicht-technische Gründer, Solopreneure — KONZEPT: Konkreter Tages-für-Tages-Fahrplan für nicht-technische Gründer, ein testbares Minimum Viable Product ausschließlich mit No-Code-Tools und KI-Assistenz zu bauen. — STRUKTUR: 14 Tages-Kapitel plus Rahmenkapitel, ~40.000 Wörter, Tages-Checklisten — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 190 Seiten.\n\n539. **#539** — \"Die Halluzinations-Falle\" — GENRE: KI-Fachbuch (populärwissenschaftlich) — ZIELGRUPPE: Journalisten, Studierende, Wissensarbeiter — KONZEPT: Verständliches Fachbuch darüber, warum und wann LLMs falsche Fakten erfinden, mit einer praktischen Methodik zur Faktenprüfung von KI-Ausgaben. — STRUKTUR: 11 Kapitel, ~38.000 Wörter, Fact-Check-Framework als nummerierte Liste — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 180 Seiten.\n\n540. **#540** — \"Von Cursor bis Claude Code\" — GENRE: Technik-Fachbuch — ZIELGRUPPE: Entwicklungsteams, Engineering Manager — KONZEPT: Vergleichendes Praxisbuch zu KI-gestützten Entwicklungsumgebungen und CLI-Agenten für Softwareteams, mit Migrationsleitfäden und Team-Onboarding-Vorlagen für den Umstieg von klassischer IDE-Arbeit. — STRUKTUR: 17 Kapitel, ~55.000 Wörter, Onboarding-Checkliste im Anhang, Werkzeug-Vergleichstabellen — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 240 Seiten.\n\n## Kategorie 5: KINDERBÜCHER & ILLUSTRIERTE WERKE\n\n541. **#541** — \"Mimi und die verschwundenen Farben\" — GENRE: Bilderbuch (Vorlesealter) — ZIELGRUPPE: Kinder 3-6 Jahre, Vorlese-Eltern — KONZEPT: Ein Mädchen wacht auf und stellt fest, dass alle Farben aus ihrem Dorf verschwunden sind — sie lernt, dass Farben zurückkehren, wenn man genau hinschaut. — STRUKTUR: 16 Doppelseiten, ~600 Wörter Text gesamt, eine Vollbild-Illustration pro Doppelseite — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 32 Seiten.\n\n542. **#542** — \"Der kleine Deich-Wächter\" — GENRE: Erstlesebuch (Sachwissen in Geschichte verpackt) — ZIELGRUPPE: Kinder 6-8 Jahre, Leseanfänger — KONZEPT: Ein norddeutscher Junge lernt zusammen mit seinem Opa spielerisch, warum Deiche wichtig sind — verpackt als kleines Abenteuer bei einer Sturmflut-Übung. — STRUKTUR: 12 Kapitel à 1-2 Seiten, ~2.500 Wörter, Sachfakten-Kasten am Buchende — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT mit reduziertem Bildanteil und mehr Fließtext pro Kapitel — KDP-FORMAT: 6×9in, Farbe oder S/W, ca. 48 Seiten.\n\n543. **#543** — \"Papa arbeitet im Homeoffice\" — GENRE: Bilderbuch (Alltagsthema) — ZIELGRUPPE: Kinder 3-5, Eltern im Homeoffice — KONZEPT: Bilderbuch, das jungen Kindern erklärt, warum ein Elternteil zuhause ist, aber trotzdem \"arbeitet\" und nicht spielen kann — ein reales Alltagsthema seit der Pandemie-Generation. — STRUKTUR: 14 Doppelseiten, ~450 Wörter — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 28 Seiten.\n\n544. **#544** — \"Das Sparschwein, das rechnen lernte\" — GENRE: Bilderbuch mit Sachwissen (Finanzbildung) — ZIELGRUPPE: Kinder 5-8, Eltern mit Finanzbildungs-Interesse — KONZEPT: Ein sprechendes Sparschwein erklärt Taschengeld, Sparen und den Unterschied zwischen Wunsch und Bedürfnis anhand kleiner Alltagsgeschichten. — STRUKTUR: 10 Kurzgeschichten-Kapitel, ~1.800 Wörter, Eltern-Gesprächsfragen am Ende jedes Kapitels — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 36 Seiten.\n\n545. **#545** — \"Der Roboter, der nicht löschen konnte\" — GENRE: Erstlesebuch (Tech-Thema kindgerecht) — ZIELGRUPPE: Kinder 6-9 Jahre — KONZEPT: Ein kleiner Haushaltsroboter lernt, dass Fehler machen und daraus lernen normal ist — spielerische Einführung in KI-Grundkonzepte. — STRUKTUR: 10 Kapitel, ~3.000 Wörter, Eltern-Infobox \"Was ist eigentlich KI?\" am Ende — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 6×9in, Farbe oder S/W, ca. 44 Seiten.\n\n546. **#546** — \"Oma erzählt vom Berg\" — GENRE: Bilderbuch (Familiengeschichte) — ZIELGRUPPE: Kinder 5-8 mit Großeltern-Bezug, Familien — KONZEPT: Bilderbuch-Biografie-Hybrid, in dem ein Kind der Großmutter zuhört, wie das Leben im Erzgebirge vor dem Mauerfall war — generationenübergreifende Familiengeschichte kindgerecht erzählt. — STRUKTUR: 18 Doppelseiten, ~700 Wörter — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 36 Seiten.\n\n547. **#547** — \"Das Zahlenmonster im Klassenzimmer\" — GENRE: Bilderbuch mit Lernspiel-Elementen — ZIELGRUPPE: Kinder 6-7, Erstklässler — KONZEPT: Aktivierendes Bilderbuch mit eingebauten kleinen Rechenaufgaben im Bildtext, das Matheangst bei Erstklässlern spielerisch abbaut. — STRUKTUR: 16 Doppelseiten, ~500 Wörter plus 8 eingebettete Rechenrätsel — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT, ergänzt um eine `.raetsel-box`-Klasse für die Rechenrätsel — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 32 Seiten.\n\n548. **#548** — \"Der Weltraumbahnhof hinterm Kornfeld\" — GENRE: Bilderbuch (Fantasie, Raumfahrt-Thema kindgerecht) — ZIELGRUPPE: Kinder 4-7 mit Weltraum-Begeisterung — KONZEPT: Kindgerechte Fantasie-Geschichte, die die Vorstellung eines ländlichen Raumhafens der Zukunft mit heutiger Dorfrealität verbindet — eigenständiges Kinderbuch-Konzept, klar unterschieden vom bestehenden Sachbuch \"Das Zeitalter der Raumfahrt\". — STRUKTUR: 16 Doppelseiten, ~550 Wörter — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 32 Seiten.\n\n549. **#549** — \"Ein Tag ohne Handy\" — GENRE: Bilderbuch (Medienkompetenz-Thema) — ZIELGRUPPE: Kinder 4-7, Familien mit Bildschirmzeit-Diskussionen — KONZEPT: Aus Kindersicht erzählt, was an einem handyfreien Sonntag alles Neues entdeckt wird — für Familien, in denen Eltern über Bildschirmzeit streiten. — STRUKTUR: 14 Doppelseiten, ~480 Wörter, Eltern-Tipps-Seite am Ende — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 28 Seiten.\n\n550. **#550** — \"Die mutige Biene Frida\" — GENRE: Bilderbuch (Umweltbildung) — ZIELGRUPPE: Kinder 4-8, umweltinteressierte Familien — KONZEPT: Eine Biene erlebt den Rückgang von Wildblumenwiesen und motiviert Kinder, eigene Balkon-Blumenkästen anzulegen. — STRUKTUR: 18 Doppelseiten, ~650 Wörter, praktische \"So pflanzt du dein eigenes Bienenbeet\"-Anleitung am Ende — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 36 Seiten.\n\n## Kategorie 6: LYRIK & KURZGESCHICHTEN\n\n551. **#551** — \"Zwischen zwei Systemen\" — GENRE: Lyrik — ZIELGRUPPE: Leser deutscher Gegenwartslyrik, Nachwende-Thema-Interessierte — KONZEPT: Lyrikband über die Nachwendegeneration, die zwischen DDR-Kindheit und westdeutscher Jugend aufwuchs, mit freien Versen und teils zweisprachigen Ost-Jargon-Einschüben. — STRUKTUR: 4 Zyklen à ca. 15 Gedichte, ~60 Gedichte gesamt — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 120 Seiten.\n\n552. **#552** — \"Kurzgeschichten aus dem Wartezimmer\" — GENRE: Kurzgeschichtenanthologie — ZIELGRUPPE: Leser literarischer Kurzprosa — KONZEPT: 20 Kurzgeschichten, die alle in Arztwartezimmern spielen — ein ungewöhnlicher gemeinsamer Schauplatz für sehr unterschiedliche Lebensgeschichten. — STRUKTUR: 20 Geschichten à 1.500-3.000 Wörter, ~45.000 Wörter gesamt — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN (Kurzgeschichten-Modus .kurzgeschichte) — KDP-FORMAT: 5,5×8,5in, S/W, ca. 190 Seiten.\n\n553. **#553** — \"Bilanz eines Jahres\" — GENRE: Lyrik (Konzeptband) — ZIELGRUPPE: Lyrik-Sammler, Geschenkbuch-Käufer — KONZEPT: Konzept-Lyrikband, der ein Kalenderjahr in 52 Wochen-Gedichten nachzeichnet, jedes Gedicht mit dem Datum der jeweiligen Woche versehen. — STRUKTUR: 52 Gedichte nach Kalenderwochen geordnet, ~8.000 Wörter — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 100 Seiten.\n\n554. **#554** — \"Die Nachtschicht-Erzählungen\" — GENRE: Kurzgeschichtenanthologie (Milieustudie) — ZIELGRUPPE: Leser realistischer Gegenwartsprosa — KONZEPT: Kurzgeschichtensammlung ausschließlich über Menschen in Nachtschichtberufen (Pflege, Bäckerei, Sicherheitsdienst, Taxifahrer) — ein selten literarisch behandeltes Milieu. — STRUKTUR: 15 Geschichten à 2.000-3.500 Wörter, ~42.000 Wörter — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 175 Seiten.\n\n555. **#555** — \"Haiku für Pendler\" — GENRE: Lyrik (Kurzform) — ZIELGRUPPE: Berufspendler, Lyrik-Einsteiger — KONZEPT: Sammlung von 200 Haiku rund um den Pendleralltag — kompaktes Format für Vielleser mit wenig Zeit. — STRUKTUR: 200 Haiku in 8 thematischen Kapiteln — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN (zentrierte Variante .zentriert für die Dreizeiler) — KDP-FORMAT: 5,5×8,5in, S/W, ca. 110 Seiten.\n\n556. **#556** — \"Erbstücke\" — GENRE: Kurzgeschichtenanthologie — ZIELGRUPPE: Leser generationenübergreifender Erzählungen — KONZEPT: Kurzgeschichten, die jeweils von einem einzigen geerbten Gegenstand (Uhr, Ring, Brief, Möbelstück) ausgehen und daraus eine Familiengeschichte entwickeln. — STRUKTUR: 12 Geschichten à 2.500-4.000 Wörter, ~38.000 Wörter — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 165 Seiten.\n\n557. **#557** — \"Sprechstunde\" — GENRE: Lyrik — ZIELGRUPPE: Leser mit Bezug zu Gesundheitsberufen, literarisch interessiertes Fachpublikum — KONZEPT: Lyrikband aus der Innenperspektive medizinischer Berufe (Ärztin, Pflegekraft, Notfallsanitäter) — nüchterne, klinische Sprache trifft auf existenzielle Themen. — STRUKTUR: 3 Zyklen (Ärztin/Pflege/Notfall) à 18 Gedichte — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 115 Seiten.\n\n558. **#558** — \"Die letzte Buchhandlung der Stadt\" — GENRE: Kurzgeschichtenzyklus / Verbundroman — ZIELGRUPPE: Buchliebhaber, Leser literarischer Prosa — KONZEPT: Kurzgeschichtenzyklus, bei dem alle Geschichten lose durch denselben unabhängigen Buchladen verbunden sind, aus wechselnden Kundenperspektiven erzählt. — STRUKTUR: 14 verbundene Geschichten, ~55.000 Wörter, wiederkehrende Nebenfiguren als roter Faden — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 220 Seiten.\n\n559. **#559** — \"Vaterland, Mutterzunge\" — GENRE: Lyrik (Migrationsliteratur) — ZIELGRUPPE: Leser mit Migrationshintergrund, Interkulturalitäts-Interessierte — KONZEPT: Lyrikband über Migrationserfahrung der zweiten Generation, mit Gedichten, die bewusst zwischen zwei Sprachwelten wechseln. — STRUKTUR: 5 Zyklen à 12 Gedichte, teils zweispaltig gesetzt — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN, ergänzt um zweispaltige Sonderseiten neben .gedicht-block — KDP-FORMAT: 5,5×8,5in, S/W, ca. 130 Seiten.\n\n560. **#560** — \"111 Trostgedichte für schlechte Tage\" — GENRE: Lyrik (Geschenkbuch-Nische) — ZIELGRUPPE: Geschenkkäufer, Menschen in Krisensituationen — KONZEPT: Kompakter Lyrikband als Geschenkbuch für Trauer-, Trennungs- oder Krisenzeiten, mit kurzen, direkt zugänglichen Gedichten statt komplexer Bildsprache. — STRUKTUR: 111 kurze Gedichte, thematisch nach Anlässen sortiert (Trauer/Trennung/Neuanfang) — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN — KDP-FORMAT: 5,5×8,5in, S/W, ca. 140 Seiten.\n\n## Kategorie 7: BIOGRAFIE & MEMOIR\n\n561. **#561** — \"Der Meister ohne Werkstatt\" — GENRE: Biografie — ZIELGRUPPE: Leser von Aufstiegs-/Neustart-Geschichten, Handwerksmilieu — KONZEPT: Biografie eines deutschen Handwerksmeisters, der seine Werkstatt durch die Finanzkrise 2008 verlor und mit 50 Jahren als Quereinsteiger in der Solarbranche neu anfing. — STRUKTUR: 24 Kapitel, chronologisch, ~70.000 Wörter, Bildteil in der Buchmitte — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 280 Seiten.\n\n562. **#562** — \"Zwischen zwei Grenzen\" — GENRE: Memoir — ZIELGRUPPE: Leser deutsch-deutscher Zeitgeschichte — KONZEPT: Memoir einer Frau, die als Kind über die innerdeutsche Grenze floh und 40 Jahre später als Grenzschutzbeamtin an der EU-Außengrenze arbeitete — ein biografischer Bogen über Grenzerfahrungen. — STRUKTUR: 20 Kapitel, ~65.000 Wörter, Zeittafel im Anhang — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 260 Seiten.\n\n563. **#563** — \"Die Kellnerin, die eine Bank gründete\" — GENRE: Biografie (Unternehmerinnen-Porträt) — ZIELGRUPPE: Leser mit Interesse an Unternehmerinnen-Geschichten — KONZEPT: Biografie einer Frau, die als alleinerziehende Kellnerin begann und über eine Genossenschaftsbank-Gründung im ländlichen Raum zur regionalen Wirtschaftsförderin wurde. — STRUKTUR: 22 Kapitel, ~68.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 270 Seiten.\n\n564. **#564** — \"Fünf Minuten vor der Explosion\" — GENRE: Memoir — ZIELGRUPPE: Sachbuch-/True-Story-Leser — KONZEPT: Memoir eines ehemaligen Kampfmittelräumers, der jahrzehntelang Weltkriegsmunition in deutschen Böden entschärfte — ein wenig beleuchtetes, hochspannendes reales Berufsfeld. — STRUKTUR: 18 Kapitel, ~58.000 Wörter, Glossar Kampfmittelräumungs-Fachbegriffe — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 240 Seiten.\n\n565. **#565** — \"Die Stimme hinter dem Mikrofon\" — GENRE: Biografie — ZIELGRUPPE: Leser mit Medien-/Zeitgeschichte-Interesse — KONZEPT: Biografie einer DDR-Radiomoderatorin, die nach der Wende ihre Karriere im gesamtdeutschen Rundfunk komplett neu aufbauen musste und dabei Zensur-Erfahrungen verarbeitete. — STRUKTUR: 21 Kapitel, ~66.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 265 Seiten.\n\n566. **#566** — \"Schulden, Scham, Neustart\" — GENRE: Memoir mit Ratgeber-Elementen — ZIELGRUPPE: Menschen in Schuldenkrisen — KONZEPT: Anonymisierte Ich-Erzählung, komponiert aus mehreren realen Fallgeschichten, über den Weg aus der Privatinsolvenz zurück in finanzielle Stabilität, mit konkreten Schritten am Kapitelende. — STRUKTUR: 19 Kapitel, ~55.000 Wörter, \"Was ich daraus gelernt habe\"-Boxen am Kapitelende — CSS-TEMPLATE: FIKTION-ROMAN mit kleiner Lernbox-Ergänzung analog .chapter-summary — KDP-FORMAT: 5×8in, S/W, ca. 230 Seiten.\n\n567. **#567** — \"Der letzte Postbote von Wolgast\" — GENRE: Biografie / Regionalporträt — ZIELGRUPPE: Leser regionaler Zeitgeschichte, Ostseeküsten-Interessierte — KONZEPT: Porträt-Biografie eines Landbriefträgers, der 35 Jahre lang dieselbe Ostsee-Küstenroute fuhr und darüber den gesellschaftlichen Wandel einer ganzen Region miterlebte. — STRUKTUR: 16 Kapitel, ~52.000 Wörter, Fotostrecken-Hinweis — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 220 Seiten.\n\n568. **#568** — \"Zwischen OP-Saal und Aktienmarkt\" — GENRE: Memoir (Business-/Finanz-nah) — ZIELGRUPPE: Kostolany-affines Publikum, Ärzte mit Finanzinteresse — KONZEPT: Memoir eines Chirurgen, der neben seinem Klinikberuf über 20 Jahre autodidaktisch an der Börse investierte, über Disziplin, Fehlentscheidungen und die Parallelen zwischen Diagnostik und Marktanalyse. — STRUKTUR: 20 Kapitel, ~62.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 250 Seiten.\n\n569. **#569** — \"Die Frau, die den Wald zurückholte\" — GENRE: Biografie / Umweltporträt — ZIELGRUPPE: Natur-/Klimathema-Leser — KONZEPT: Biografie einer Försterin, die eine monokulturelle Fichtenplantage über 25 Jahre in einen klimaresilienten Mischwald umgebaut hat, gegen Widerstand von Verwaltung und Holzindustrie. — STRUKTUR: 17 Kapitel, ~54.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 225 Seiten.\n\n570. **#570** — \"Vom Fließband zur Führungsetage\" — GENRE: Biografie — ZIELGRUPPE: Leser mit Interesse an Arbeitswelt-/Industriegeschichte — KONZEPT: Biografie eines Automobilarbeiters, der über 30 Jahre vom Fließband bis in den Betriebsrat und schließlich in die Werksleitung aufstieg — eine seltene Innenperspektive auf deutsche Industriekultur. — STRUKTUR: 23 Kapitel, ~70.000 Wörter — CSS-TEMPLATE: FIKTION-ROMAN — KDP-FORMAT: 5×8in, S/W, ca. 280 Seiten.\n\n## Kategorie 8: KOCHBUCH & LIFESTYLE\n\n571. **#571** — \"Resteküche Ost\" — GENRE: Kochbuch (Regional/Nachhaltigkeit) — ZIELGRUPPE: Nachhaltigkeitsbewusste Hobbyköche, Ost-nostalgisches Publikum — KONZEPT: 60 Rezepte aus ostdeutscher Mangelwirtschafts-Tradition, modern neu interpretiert für heutige Anti-Verschwendungs-Küche (Nose-to-Tail, Reste-Verwertung). — STRUKTUR: 60 Rezepte in 6 Kapiteln, ~30.000 Wörter — CSS-TEMPLATE: RATGEBER-SELFHELP, ergänzt um eine Rezeptkarten-Klasse `.rezept-karte { display:grid; grid-template-columns: 1fr 2fr; }` für Zutaten links / Zubereitung rechts — KDP-FORMAT: 7×10in, Farbe, ca. 180 Seiten.\n\n572. **#572** — \"Feierabendküche für Schichtarbeiter\" — GENRE: Kochbuch (Zielgruppen-Nische) — ZIELGRUPPE: Schichtarbeiter, Pflegekräfte — KONZEPT: Rezepte, die zu jeder Tageszeit funktionieren (auch \"Frühstück um 22 Uhr\") und maximal 20 Minuten Zubereitung brauchen — zugeschnitten auf unregelmäßige Schichtpläne. — STRUKTUR: 50 Rezepte, nach Zubereitungszeit statt Mahlzeit sortiert, ~25.000 Wörter — CSS-TEMPLATE: RATGEBER-SELFHELP plus Rezeptkarten-Grid mit Zeit-Badge oben rechts (`.zeit-badge`) — KDP-FORMAT: 7×10in, Farbe, ca. 160 Seiten.\n\n573. **#573** — \"Ein-Topf-Bilanz\" — GENRE: Kochbuch mit Finanzkomponente — ZIELGRUPPE: Budgetbewusste Haushalte, Studierende, Alleinerziehende — KONZEPT: Kochbuch, das jedem Rezept die tatsächlichen Kosten pro Portion gegenüberstellt (Supermarkt-Durchschnittspreise), um Haushaltsbudgetierung mit Kochen zu verbinden. — STRUKTUR: 45 Rezepte, ~24.000 Wörter, Kosten-pro-Portion-Anzeige auf jeder Rezeptseite — CSS-TEMPLATE: RATGEBER-SELFHELP, Kosten-Badge analog zum `.segment`-Fortschrittsbalken für \"günstig/mittel/teuer\" — KDP-FORMAT: 7×10in, Farbe oder S/W, ca. 150 Seiten.\n\n574. **#574** — \"Balkon-Ernte, ganzes Jahr\" — GENRE: Lifestyle/Kochbuch-Hybrid — ZIELGRUPPE: Balkon-/Stadtgärtner — KONZEPT: Anbaukalender für Balkon- und Kleingärtner, kombiniert mit passenden Rezepten für jede Erntezeit, von März bis Oktober. — STRUKTUR: 8 Monatskapitel mit je 4-5 Rezepten, ~28.000 Wörter, Anbaukalender-Tabelle im Anhang — CSS-TEMPLATE: RATGEBER-SELFHELP mit Rezeptkarten wie #571, zusätzlich Kalender-Tabellen-Styling — KDP-FORMAT: 7×10in, Farbe, ca. 170 Seiten.\n\n575. **#575** — \"Diabetes-freundlich genießen\" — GENRE: Gesundheits-Kochbuch — ZIELGRUPPE: Typ-2-Diabetiker und Angehörige — KONZEPT: Kochbuch mit Glykämischer-Index-Angabe pro Rezept und alltagstauglichen, nicht-asketischen Gerichten statt reinem Verzichts-Kochbuch. — STRUKTUR: 55 Rezepte, ~28.000 Wörter, GI-Wert-Badge pro Rezept, Nährwerttabellen-Anhang — CSS-TEMPLATE: RATGEBER-SELFHELP mit Rezeptkarten inklusive Nährwert-Mini-Tabelle — KDP-FORMAT: 7×10in, Farbe, ca. 175 Seiten.\n\n576. **#576** — \"Die Brotdose neu gedacht\" — GENRE: Kochbuch (Meal-Prep-Nische) — ZIELGRUPPE: Berufstätige Eltern, Schüler-Eltern — KONZEPT: Meal-Prep-Rezepte ausschließlich für Schul-/Arbeits-Brotdosen, die am Vorabend vorbereitet werden und am nächsten Tag noch gut schmecken (Anti-Matsch-Prinzipien). — STRUKTUR: 48 Rezepte in 4 Kategorien (süß/herzhaft/warm/kalt), ~22.000 Wörter — CSS-TEMPLATE: RATGEBER-SELFHELP mit Rezeptkarten-Layout inklusive Haltbarkeits-Badge — KDP-FORMAT: 7×10in, Farbe, ca. 145 Seiten.\n\n577. **#577** — \"Slow Living auf 40 Quadratmetern\" — GENRE: Lifestyle-Ratgeber — ZIELGRUPPE: Stadtbewohner in Kleinwohnungen, Minimalismus-Interessierte — KONZEPT: Minimalistisches Wohnen in Kleinstwohnungen mit konkreten Raumnutzungs-Übungen statt reiner Deko-Inspiration, inklusive Grundriss-Beispielskizzen. — STRUKTUR: 12 Kapitel, ~38.000 Wörter, Übungsboxen \"Diese Woche ausmisten\" — CSS-TEMPLATE: RATGEBER-SELFHELP — KDP-FORMAT: 6×9in, S/W oder Farbe, ca. 190 Seiten.\n\n578. **#578** — \"Fermentieren für Anfänger ohne Angst\" — GENRE: Kochbuch (Fermentation-Nische) — ZIELGRUPPE: Fermentations-Einsteiger, Selbstversorger-Interessierte — KONZEPT: Einsteigerfreundliches Fermentations-Kochbuch (Sauerkraut, Kimchi, Kombucha) mit starkem Fokus auf Sicherheits-Checklisten gegen häufige Anfängerfehler und Schimmelbildung. — STRUKTUR: 35 Rezepte plus 6 Grundlagenkapitel, ~30.000 Wörter, Sicherheits-Checkliste je Ferment-Typ — CSS-TEMPLATE: RATGEBER-SELFHELP mit Rezeptkarten und Fermentationsdauer-Timeline-Element — KDP-FORMAT: 7×10in, Farbe, ca. 165 Seiten.\n\n579. **#579** — \"Männerabend-Küche\" — GENRE: Kochbuch (Zielgruppen-Nische Einsteiger) — ZIELGRUPPE: Kochanfänger, frisch Ausgezogene — KONZEPT: Bewusst unkompliziertes Kochbuch mit maximal 6 Zutaten pro Rezept und Null-Vorwissen-Anleitungen für Kochanfänger (häufig Männer nach Trennung/Auszug). — STRUKTUR: 40 Rezepte, ~20.000 Wörter, Grundtechniken-Kapitel am Anfang (Ei braten, Nudeln kochen) — CSS-TEMPLATE: RATGEBER-SELFHELP mit großen, reduzierten Rezeptkarten und max. 6 Zutaten-Icons — KDP-FORMAT: 7×10in, Farbe, ca. 140 Seiten.\n\n580. **#580** — \"Erbrezepte bewahren\" — GENRE: Lifestyle-/Aktivitätsbuch (Low-Content-Hybrid) — ZIELGRUPPE: Familien, die Familienrezepte bewahren wollen — KONZEPT: Anleitungs- und Vorlagenbuch, wie man Familienrezepte von älteren Angehörigen dokumentiert, bevor sie verloren gehen — mit leeren Rezeptvorlagen-Seiten und Interview-Leitfragen. — STRUKTUR: Einleitungskapitel plus 50 leere Rezeptvorlagen-Seiten plus Interview-Fragebogen-Anhang — CSS-TEMPLATE: RATGEBER-SELFHELP mit leerer Rezeptkarten-Vorlage inklusive Schreiblinien (bewusst Print-only, für Kindle ungeeignet) — KDP-FORMAT: 8,5×11in, S/W, ca. 120 Seiten.\n\n## Kategorie 9: NACHSCHLAGEWERKE & KOMPENDIEN\n\n581. **#581** — \"Deep Library: Finanzformeln kompakt\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Studierende BWL/Finance, Finanzpraktiker — KONZEPT: Nachschlagewerk mit allen gängigen Finanzformeln (Zinseszins, Rendite, Sharpe Ratio, Duration) inklusive Herleitung, Anwendungsbeispiel und Excel-Formel-Äquivalent pro Eintrag. — STRUKTUR: 120 Formel-Einträge alphabetisch plus thematisch verlinkt, ~35.000 Wörter, Stichwortverzeichnis am Ende — CSS-TEMPLATE: SACHBUCH-BUSINESS mit dichtem Glossar-Layout `.glossar-eintrag { text-indent: -1.5em; padding-left: 1.5em; }` (hängender Einzug für Definitionslisten-Optik) — KDP-FORMAT: 6×9in, S/W, ca. 220 Seiten.\n\n582. **#582** — \"Das kleine Lexikon der Vertragsklauseln\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Kleinunternehmer, Freelancer — KONZEPT: Die 80 häufigsten Vertragsklauseln in B2B-Verträgen allgemeinverständlich erklärt — keine Rechtsberatung, aber Verständnishilfe vor dem Anwaltstermin. — STRUKTUR: 80 Klausel-Einträge, ~30.000 Wörter, Register nach Vertragstyp — CSS-TEMPLATE: SACHBUCH-BUSINESS mit Glossar-Layout wie #581, zusätzlich Querverweis-Pfeile zwischen verwandten Klauseln — KDP-FORMAT: 6×9in, S/W, ca. 200 Seiten.\n\n583. **#583** — \"Kompendium der Börsen-Slangbegriffe\" — GENRE: Nachschlagewerk / Glossar — ZIELGRUPPE: Börseneinsteiger, Kostolany-Leser, Trading-Community — KONZEPT: Von \"Bulle/Bär\" bis \"FOMO\" und \"Diamond Hands\" — historischer und moderner Börsenjargon in einem Band, mit Herkunftserklärung pro Begriff. — STRUKTUR: 250 Begriffs-Einträge alphabetisch, ~28.000 Wörter — CSS-TEMPLATE: SACHBUCH-BUSINESS mit kompaktem Glossar und großem Initial als Buchstaben-Sektionskopf — KDP-FORMAT: 6×9in, S/W, ca. 190 Seiten.\n\n584. **#584** — \"Handbuch der KI-Fachbegriffe für Nicht-Techniker\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Manager, Entscheider ohne technischen Hintergrund — KONZEPT: 150 KI-/LLM-Fachbegriffe (Token, Embedding, Fine-Tuning, RAG, Halluzination) für ein nicht-technisches Business-Publikum verständlich erklärt. — STRUKTUR: 150 Einträge, ~32.000 Wörter, Analogien-Kästen pro Fachbegriff — CSS-TEMPLATE: SACHBUCH-BUSINESS mit Glossar-Layout und zusätzlicher `.analogie-kasten`-Callout-Variante — KDP-FORMAT: 6×9in, S/W, ca. 210 Seiten.\n\n585. **#585** — \"Das Kompendium der deutschen Fördermittel für Gründer\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Existenzgründer, Gründungsberater — KONZEPT: Übersichtswerk aller wichtigen Förderprogramme (Bund, Länder, EU) für Existenzgründer mit Voraussetzungen, Fristen und Antragsprozess pro Programm; Buch mit explizitem Stand-Datum, da sich Förderlandschaften häufig ändern. — STRUKTUR: 60 Förderprogramm-Einträge strukturiert (Voraussetzung/Höhe/Antrag), ~34.000 Wörter, Index nach Bundesland — CSS-TEMPLATE: SACHBUCH-BUSINESS mit tabellarischem Eintrags-Layout pro Programm — KDP-FORMAT: 6×9in, S/W, ca. 230 Seiten.\n\n586. **#586** — \"Atlas der Anlageklassen\" — GENRE: Nachschlagewerk / Finanz-Kompendium — ZIELGRUPPE: Einsteiger- bis fortgeschrittene Privatanleger — KONZEPT: Jede gängige Anlageklasse (Aktien, Anleihen, Immobilien, Rohstoffe, Krypto, Kunst) im gleichen Raster dargestellt: Risiko, Liquidität, historische Rendite, Einstiegshürde. — STRUKTUR: 18 Anlageklassen-Kapitel im einheitlichen Raster, ~40.000 Wörter, zusammenfassende Vergleichstabelle — CSS-TEMPLATE: SACHBUCH-BUSINESS mit Vergleichs-Rastertabelle — KDP-FORMAT: 6×9in, S/W, ca. 220 Seiten.\n\n587. **#587** — \"Das Handwerker-Normen-Nachschlagewerk light\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Bauherren, Renovierer — KONZEPT: Kompaktes, laienverständliches Nachschlagewerk der wichtigsten DIN-Normen-Grundprinzipien für Bauherren, die mit Handwerkern kommunizieren müssen — kein Ersatz für Fachplanung, aber Verständnishilfe. — STRUKTUR: 45 Themen-Einträge (Elektro/Sanitär/Statik-Grundlagen), ~30.000 Wörter — CSS-TEMPLATE: SACHBUCH-BUSINESS mit Glossar-Layout — KDP-FORMAT: 6×9in, S/W, ca. 195 Seiten.\n\n588. **#588** — \"Kompendium historischer Wirtschaftskrisen\" — GENRE: Nachschlagewerk / Wirtschaftsgeschichte — ZIELGRUPPE: Finanzgeschichte-Interessierte, Kostolany-Leser — KONZEPT: 25 große Wirtschaftskrisen von der Tulpenmanie bis 2008/2020, jeweils in einheitlicher Struktur: Auslöser, Verlauf, Lehren, Parallelen zu heute. — STRUKTUR: 25 Krisen-Kapitel im Raster, ~48.000 Wörter, Zeitstrahl-Übersicht im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 240 Seiten.\n\n589. **#589** — \"Das kleine Lexikon der Fördervereine und Genossenschaften\" — GENRE: Nachschlagewerk — ZIELGRUPPE: Sozialunternehmer, Vereinsgründer — KONZEPT: Genossenschaftliche und Vereins-Rechtsformen für Gründer sozialer Projekte, mit Gegenüberstellung von e.V., eG, gGmbH und deren steuerlichen Grundlagen. — STRUKTUR: 12 Rechtsformen-Kapitel im Vergleichsraster, ~26.000 Wörter, Entscheidungsbaum \"Welche Rechtsform passt?\" im Anhang — CSS-TEMPLATE: SACHBUCH-BUSINESS — KDP-FORMAT: 6×9in, S/W, ca. 175 Seiten.\n\n590. **#590** — \"Sprach-Kompendium für den Berufseinstieg\" — GENRE: Nachschlagewerk / Glossar — ZIELGRUPPE: Berufseinsteiger, Quereinsteiger, Auszubildende — KONZEPT: 200 Business-Anglizismen und Buzzwords (KPI, Onboarding, Stakeholder etc.) einfach erklärt für Berufseinsteiger aus non-akademischen Laufbahnen. — STRUKTUR: 200 Begriffs-Einträge alphabetisch mit Beispielsatz, ~26.000 Wörter — CSS-TEMPLATE: SACHBUCH-BUSINESS mit kompaktem Glossar-Layout — KDP-FORMAT: 6×9in, S/W, ca. 180 Seiten.\n\n## Kategorie 10: NISCHEN/SPEZIAL-KDP-KONZEPTE\n\n591. **#591** — \"Der 90-Tage-Trading-Journal-Planer\" — GENRE: Low-Content-Journal/Planer — ZIELGRUPPE: Aktive Trader — KONZEPT: Strukturiertes Tages-Journal für Daytrader mit Setup, Entry/Exit, Emotion-Tracking pro Tag und Wochenreview-Seiten alle sieben Tage. — STRUKTUR: 90 Tagesseiten plus 13 Wochenreview-Seiten, kein Fließtext, rein strukturierte Formularfelder — CSS-TEMPLATE: eigenständiges Layout nötig, keines der 5 Basis-Templates passt direkt — feste Tabellenraster pro Seite, reine Print-Produktion ohne sinnvolle Kindle-Version — KDP-FORMAT: 6×9in, S/W, ca. 210 Seiten.\n\n592. **#592** — \"Der Dankbarkeits-Planer für Schichtarbeiter\" — GENRE: Low-Content-Journal — ZIELGRUPPE: Schichtarbeiter — KONZEPT: Tages-Journal mit an Schichtrhythmen angepassten Reflexionsfragen (Vor-Schicht-/Nach-Schicht-Format statt generischem \"Guten Morgen\"). — STRUKTUR: 100 Tagesseiten mit Vor-/Nach-Schicht-Feldern, Wochenrückblick alle 7 Seiten — CSS-TEMPLATE: RATGEBER-SELFHELP als Basis für Umschlag/Kapitelseiten, Formularseiten mit eigenem Tabellenraster-Layout — KDP-FORMAT: 6×9in, S/W, ca. 220 Seiten.\n\n593. **#593** — \"Malbuch: Deutsche Bauwerke für Erwachsene\" — GENRE: Ausmalbuch (Erwachsene) — ZIELGRUPPE: Erwachsene Coloring-Fans, Architektur-Interessierte — KONZEPT: 50 detaillierte Linienzeichnungen bekannter deutscher Architektur (Fachwerk, Backsteingotik, Bauhaus) für entspanntes Ausmalen — Nischen-Kombination aus Architekturthema und Coloring-Format. — STRUKTUR: 50 Ausmalseiten (einseitig bedruckt gegen Durchdrücken von Buntstiften), keine Textseiten außer Vorwort — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT als Basis für Vollbild-Bildlayout, aber randlos/einseitig statt beidseitig — eigene Druckvorgabe (nur Vorderseite bedrucken) nötig — KDP-FORMAT: 8,5×11in, S/W-Linienzeichnung, ca. 104 Seiten.\n\n594. **#594** — \"Rätselheft: Zahlenlogik für Senioren\" — GENRE: Rätselbuch — ZIELGRUPPE: Senioren, Gedächtnistraining-Interessierte — KONZEPT: Sudoku, Zahlenschlangen und Logikrätsel in bewusst großer Schrift/großen Feldern für ältere Zielgruppen, progressiv nach Schwierigkeit sortiert. — STRUKTUR: 100 Rätsel in 5 Schwierigkeitsstufen, Lösungsteil am Buchende — CSS-TEMPLATE: eigenständiges Rasterlayout je Rätseltyp (CSS Grid), keines der 5 Basis-Templates passt direkt — KDP-FORMAT: 8,5×11in (große Felder brauchen großes Format), S/W, ca. 130 Seiten.\n\n595. **#595** — \"Der Haushaltsbuch-Planer für Alleinerziehende\" — GENRE: Low-Content-Planer (Finanzen) — ZIELGRUPPE: Alleinerziehende — KONZEPT: Finanz-Journal mit vorstrukturierten Monatsseiten speziell für unregelmäßiges Einkommen (Unterhalt, Teilzeit, Kindergeld) statt generischer Festgehalt-Logik anderer Haushaltsbücher. — STRUKTUR: 12 Monatsdoppelseiten mit Einnahmen-/Ausgabenraster, Jahresübersicht am Ende — CSS-TEMPLATE: SACHBUCH-BUSINESS als Basis für Umschlag/Erklärseiten, Tabellenraster für Buchungsseiten eigenständig — KDP-FORMAT: 8,5×11in, S/W, ca. 60 Seiten.\n\n596. **#596** — \"52-Wochen-Journal für Vereinskassenwarte\" — GENRE: Low-Content-Planer (Ehrenamt-Nische) — ZIELGRUPPE: Ehrenamtliche Vereinskassenwarte — KONZEPT: Sehr spezifisches Nischenprodukt: strukturierter Wochenplaner für ehrenamtliche Kassenwarte in Vereinen, mit Feldern für Mitgliedsbeiträge, Spenden und einer Belege-Checkliste. — STRUKTUR: 52 Wochenseiten plus Jahresabschluss-Vorlage, Belegablage-Checkliste pro Woche — CSS-TEMPLATE: eigenständiges Formular-/Tabellenlayout, keine Basis-Vorlage direkt passend — KDP-FORMAT: 8,5×11in, S/W, ca. 70 Seiten.\n\n597. **#597** — \"Wimmelbuch: Ein Tag im Hafen\" — GENRE: Wimmel-/Suchbuch (Kinder) — ZIELGRUPPE: Kinder 4-8 — KONZEPT: Wimmelbild-Suchbuch ohne Fließtext mit Suchlisten pro Doppelseite (\"Finde 5 rote Container\") in Hamburg-/Bremerhaven-Hafenszenen. — STRUKTUR: 10 Doppelseiten-Szenen mit je 8-10 Suchobjekten in Suchliste, kein Fließtext — CSS-TEMPLATE: KINDERBUCH-ILLUSTRIERT als Basis (Vollbild-Illustration), Suchlisten-Leiste am Seitenrand als kleine inline-Ergänzung — KDP-FORMAT: 8,5×8,5in, Farbe, ca. 24 Seiten.\n\n598. **#598** — \"Der Prompt-Journal für Autoren\" — GENRE: Low-Content-Journal (Kreatives Schreiben) — ZIELGRUPPE: Hobbyautoren, Creative-Writing-Kurse — KONZEPT: Kreatives Schreibjournal mit 150 Schreibimpulsen (Prompts) für angehende Autoren, jeweils eine leere Seite pro Prompt zum handschriftlichen Ausarbeiten. — STRUKTUR: 150 Prompt-Seiten mit Schreiblinien, thematisch in 6 Kapitel gegliedert — CSS-TEMPLATE: LYRIK-KURZGESCHICHTEN als Basis für Prompt-Überschriften, Schreiblinien-Raster eigenständig (`repeating-linear-gradient` für liniertes Papier) — KDP-FORMAT: 6×9in, S/W, ca. 160 Seiten.\n\n599. **#599** — \"Kreuzworträtsel-Sammlung: Finanzbegriffe\" — GENRE: Rätselbuch (Themen-Nische) — ZIELGRUPPE: Finanzinteressierte Rätsel-Fans — KONZEPT: Themen-Kreuzworträtselheft ausschließlich mit Finanz- und Börsenbegriffen als Lösungswörter — Crossover aus Rätselbuch und Finanzbildung, passend zum bestehenden Kostolany-Publikum. — STRUKTUR: 60 Kreuzworträtsel unterschiedlicher Größe, Lösungsteil am Ende, kurzes Finanzglossar als Bonus — CSS-TEMPLATE: eigenständiges Rätselraster-Layout (CSS Grid mit nummerierten Zellen), keine Basis-Vorlage passend — KDP-FORMAT: 8,5×11in, S/W, ca. 140 Seiten.\n\n600. **#600** — \"Der Wochenplaner für Wechselmodell-Familien\" — GENRE: Low-Content-Planer (Familien-Nische) — ZIELGRUPPE: Getrennt erziehende Eltern im Wechselmodell — KONZEPT: Spezialisierter Familienplaner mit synchronisierbaren Doppelwochen-Ansichten und Übergabe-Checklisten (Schulsachen, Medikamente) pro Wechsel. — STRUKTUR: 26 Doppelwochen-Spreads (ein Jahr), Übergabe-Checkliste pro Wechsel, Kontaktdaten-Seite (Kinderarzt, Schule) am Anfang — CSS-TEMPLATE: RATGEBER-SELFHELP als Basis für Erklärseiten, Kalenderraster-Layout eigenständig (zwei synchron laufende Wochenspalten) — KDP-FORMAT: 8,5×11in, S/W, ca. 80 Seiten.\n\n=== ENDE ===\n\n## Hinweis\n\n**CSS-Paginierungsgrenze (wiederholt für die Produktionspraxis):** Alle fünf CSS-Templates in Part A liefern ausschließlich Typografie, Umbrüche und die Trim-Box für `print-version.html`. Fortlaufende Seitenzahlen und wechselnde lebende Kolumnentitel — beides für ein professionelles KDP-Print-Interieur erwartet — lassen sich mit reinem CSS im aktuellen Headless-Chrome-Rendering-Schritt der Produktionspipeline **nicht** zuverlässig erzeugen. Wer diese Buchprojekte tatsächlich in den Druck bringt, muss zusätzlich entweder (a) einen Paged.js-Rendering-Schritt vor der PDF-Erzeugung einplanen, oder (b) Seitenzahlen/Kolumnentitel nachträglich in das fertige PDF einfügen. Dies betrifft alle 100 Prompts in Part B gleichermaßen und ist kein Fehler der Templates, sondern eine Werkzeuggrenze von Headless Chrome als Rendering-Engine.\n\n**Abgrenzung zu bestehenden Titeln:** Alle 100 Konzepte in diesem Batch sind neu und wurden bewusst so entwickelt, dass sie sich nicht mit bereits produzierten Titeln überschneiden — insbesondere nicht mit \"Vom Obdachlosen zum Millionär\", \"Das Geschenk der Freiheit\", der \"CODE GENITOR\"-Trilogie, \"Die Kunst der Börsenspekulation\" (Kostolany), \"The LLM Atlas 2026\" und \"Das Zeitalter der Raumfahrt\". Wo thematische Nähe besteht (z. B. #533 zu \"LLM Atlas 2026\", #548 zu \"Das Zeitalter der Raumfahrt\", #568/#583/#588/#599 zum Kostolany-Themenfeld, #561/#566 zum \"Vom Obdachlosen zum Millionär\"-Themenfeld), wurde der jeweilige Prompt explizit auf einen eigenständigen Blickwinkel, eine andere Zielgruppe oder ein anderes Format zugeschnitten, um Doppelproduktion zu vermeiden.\n",
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        "overview": "DOMVS AVREA ARCHIVE INTELLIGENCE EXPANSION ROADMAP Stand: 2026-09-06 ====================================================================== 1. REVIEW-ERGEBNIS ====================================================================== Das Projekt ist bereits weit mehr als ein Markdown-Browser: Archive → Search / RAG → Graph → Readiness / Rebuildability → Project Genome → Fusion → Mutation → Build Factory → Context Pack Die nächste sinnvolle Entwicklungsstufe ist ein versioniertes \"Evidence-to-Execution Control Plane\": Archive Snapshot → Sanitized Evidence → Provenance Ledger → Build Package → Acceptance Plan → App Bootstrap → Validation Run → Change Detection → Rebuild / Release Decision Stärken des aktuellen Systems: - Originale Markdown-Dateien bleiben unverändert. - Die Analyse ist statisch, nachvollziehbar und dependency-light. - Der zentrale Generator erzeugt eine einheitliche Int",
        "content": "DOMVS AVREA ARCHIVE INTELLIGENCE\nEXPANSION ROADMAP\nStand: 2026-09-06\n\n======================================================================\n1. REVIEW-ERGEBNIS\n======================================================================\n\nDas Projekt ist bereits weit mehr als ein Markdown-Browser:\n\nArchive\n→ Search / RAG\n→ Graph\n→ Readiness / Rebuildability\n→ Project Genome\n→ Fusion\n→ Mutation\n→ Build Factory\n→ Context Pack\n\nDie nächste sinnvolle Entwicklungsstufe ist ein versioniertes\n\"Evidence-to-Execution Control Plane\":\n\nArchive Snapshot\n→ Sanitized Evidence\n→ Provenance Ledger\n→ Build Package\n→ Acceptance Plan\n→ App Bootstrap\n→ Validation Run\n→ Change Detection\n→ Rebuild / Release Decision\n\nStärken des aktuellen Systems:\n\n- Originale Markdown-Dateien bleiben unverändert.\n- Die Analyse ist statisch, nachvollziehbar und dependency-light.\n- Der zentrale Generator erzeugt eine einheitliche Intelligence-Suite.\n- Project Genome verbindet Produkt-, Technik-, Risiko- und Rebuild-Signale.\n- Fusion Briefs können mehrere Archivprojekte kombinieren.\n- Mutation Paths können direkt an die Build Factory übergeben werden.\n- Graph Studio macht Beziehungen, Blast Radius und Tech-Ecosystems sichtbar.\n- Stack Snapshot und optionale Live-Evidence werden getrennt behandelt.\n- Security-Findings werden in der Intelligence-Ausgabe maskiert.\n- RAG besitzt Heading-Chunks, Hybrid Search, Citations und Offline-Fallbacks.\n\nWichtigste Risiken und Grenzen:\n\n- RAG-Chunks und Vektor-Exporte werden aus normalisiertem Originaltext erzeugt.\n  Die Maskierung greift derzeit vor allem im Chat-Pfad, nicht zwingend an der\n  öffentlichen Exportgrenze.\n- Der Chat kann bis zu 12.000 Zeichen aus Chunks plus bis zu 60.000 Zeichen\n  eines vollständigen Dokuments senden. Das ist größer als ein konsequent\n  begrenzter Retrieval-Kontext.\n- Intelligence-Daten und RAG-Daten können aus unterschiedlichen\n  Generationszeitpunkten stammen. Es fehlt ein verbindlicher Hash-Abgleich.\n- Relative Creation Dates werden bei jeder Generierung erneut geschätzt.\n  Ein unveränderter Snapshot kann dadurch scheinbar altern.\n- Readiness- und Rebuildability-Scores sind Heuristiken. Erwähnte Tests oder\n  Deployments sind noch kein nachgewiesener erfolgreicher Test oder Build.\n- Der zentrale Generator enthält große HTML-, CSS- und JavaScript-Blöcke in\n  einer Datei. Das erschwert gezielte Tests und sichere Erweiterungen.\n- Browserseitige Vollscans über Chunks und Vektoren werden bei größerem Corpus\n  zunehmend teuer.\n- Build Factory erzeugt bereits gute Spezifikationen, aber noch kein\n  versioniertes, erneut importierbares und validierbares Build Package.\n\n\n======================================================================\n2. LEITPRINZIPIEN FÜR ALLE AUSBAUSTUFEN\n======================================================================\n\n1. Source Markdown bleibt immutable.\n2. Kein Secret darf in einen öffentlichen HTML-, JSON-, JSONL- oder\n   Vektor-Export gelangen.\n3. Snapshot-Evidence, abgeleitete Heuristik und Live-Evidence bleiben getrennt.\n4. Jede wichtige Behauptung braucht eine Source-ID oder wird als Annahme\n   markiert.\n5. Kein Score darf Build-, Test- oder Deployment-Erfolg behaupten, wenn dafür\n   keine ausführbare Evidence existiert.\n6. Remote-LLM- und Embedding-Aufrufe erhalten nur maskierte, begrenzte Daten.\n7. Generierte Packages müssen versioniert, reproduzierbar und erneut\n   importierbar sein.\n8. Abgeleitete Beziehungen bleiben Vorschläge, bis sie bestätigt wurden.\n9. Statische Nutzung und Offline-Fallback bleiben Kernfähigkeiten.\n10. Neue Features benötigen messbare Akzeptanzkriterien.\n\n\n======================================================================\n3. AUSBAUSTUFE 0 — SAFE PUBLICATION BOUNDARY\nPriorität: P0 / vor jeder Veröffentlichung\n======================================================================\n\n3.1 Sanitized Corpus Compiler\n\nZiel:\nEine zentrale Sanitization-Schicht vor allen öffentlichen Exporten.\n\nFeatures:\n\n- Maskierung vor Chunking, Embedding und Browser-Indexierung.\n- Erkennung von Credential-Zuweisungen, Tokens, privaten Hosts,\n  Connection Strings und sensitiven Headern.\n- Allowlist für ausdrücklich harmlose Platzhalter und Variablennamen.\n- Zwei getrennte Artefaktklassen:\n  - private source inventory\n  - sanitized publishable corpus\n- Build-Abbruch, wenn ein öffentlicher Export verbotene Muster enthält.\n- Security-Report enthält nur Datei, Zeile, Finding-Typ und Hash; niemals den\n  gefundenen Wert.\n\nDone:\n\n- Kein erkanntes Credential-Muster befindet sich in veröffentlichten RAG-,\n  HTML-, JSON-, JSONL- oder Vektor-Artefakten.\n- Embeddings werden ausschließlich aus sanitized text erzeugt.\n- Ein Fixture mit absichtlich eingebauten Test-Secrets stoppt den Build.\n- Maskierte Texte behalten Heading-Struktur und stabile Source-IDs.\n\n\n3.2 Hard Context Budget\n\nZiel:\nEin einziges überprüfbares Gesamtbudget für Chat-Kontext.\n\nFeatures:\n\n- Gemeinsames Zeichen- oder Token-Budget für:\n  - Chunks\n  - benachbarte Chunks\n  - Zitate\n  - optionale Dokumentauszüge\n- Kein vollständiges 60.000-Zeichen-Dokument im Standardpfad.\n- Stattdessen bounded neighborhood retrieval um relevante Headings.\n- Sichtbare Anzeige:\n  - verwendete Quellen\n  - verwendete Zeichen\n  - ausgelassene Chunks\n  - truncation reason\n- Harte Ablehnung übergroßer Payloads.\n\nDone:\n\n- Kein Request überschreitet das konfigurierte Gesamtbudget.\n- Tests decken leere, große und adversariale Dokumente ab.\n- Antwortzitate verweisen nur auf tatsächlich gesendete Evidence.\n\n\n3.3 Remote Egress Transparency\n\nZiel:\nKlar anzeigen, welche Daten lokal bleiben und welche einen Proxy verlassen.\n\nFeatures:\n\n- Data-flow-Hinweis vor Semantic Search und Grounded Chat.\n- Anzeige von Provider-Route, Modellklasse und Payload-Kategorie.\n- Keine Anzeige oder Speicherung von Zugangsdaten.\n- Optionaler \"local only\"-Modus ohne Remote Requests.\n- Exportierbares Egress-Protokoll mit Counts und Source-IDs, aber ohne Inhalt.\n\nDone:\n\n- Nutzer kann vor dem ersten Remote-Aufruf zustimmen oder Local-only wählen.\n- Local-only Search funktioniert ohne Netzwerk.\n- Remote Requests enthalten nur sanitized Evidence.\n\n\n======================================================================\n4. AUSBAUSTUFE 1 — PROVENANCE UND REPRODUZIERBARKEIT\nPriorität: P1\n======================================================================\n\n4.1 Archive Provenance Manifest\n\nZiel:\nJedes abgeleitete Artefakt ist einem konkreten Archive Snapshot zugeordnet.\n\nManifest-Felder:\n\n- schema_version\n- build_id\n- captured_at\n- generated_at\n- source_count\n- source_path\n- normalized_source_hash\n- sanitized_source_hash\n- chunk_ids\n- generator_version\n- configuration_hash\n- parent_build_id\n\nFeatures:\n\n- Hash jedes normalisierten Quelldokuments.\n- Hash des gesamten Corpus.\n- Hash-Verweise in Intelligence-, RAG- und Build-Package-Artefakten.\n- Generator stoppt bei gemischten oder veralteten Eingaben.\n- Manifest Viewer im Control Room.\n\nDone:\n\n- Jedes Tool zeigt Build-ID und Snapshot-ID.\n- RAG und Archive Intelligence können nicht still aus unterschiedlichen\n  Snapshots kompiliert werden.\n- Gleiche Inputs erzeugen gleiche Source- und Corpus-Hashes.\n\n\n4.2 Immutable Stack Snapshot Dates\n\nZiel:\nRelative Datumsangaben nicht bei jedem Build neu interpretieren.\n\nFeatures:\n\n- Separates captured_at für replit-stack-komplett.txt.\n- estimated_created_at wird einmal relativ zum captured_at berechnet.\n- estimated_created_at_source dokumentiert:\n  - raw relative label\n  - snapshot timestamp\n  - estimation rule\n- Neu-Interpretation nur bei explizitem Snapshot-Import.\n\nDone:\n\n- Wiederholte Builds desselben Snapshots erzeugen identische Schätzungen.\n- UI kennzeichnet weiterhin jede Schätzung als ungefähr.\n\n\n4.3 Deterministic Incremental Builds\n\nZiel:\nNur geänderte Dokumente und abhängige Artefakte neu erzeugen.\n\nFeatures:\n\n- Hash-basierter Build Cache.\n- Dependency Map:\n  source → chunks → embeddings → intelligence → packages\n- Gelöschte oder umbenannte Quellen entfernen alte Derived Records.\n- Build Report mit reused / rebuilt / removed.\n\nDone:\n\n- Eine einzelne Markdown-Änderung erzeugt nur die notwendigen Folgeartefakte.\n- Ein vollständiger Clean Build und ein Incremental Build sind inhaltlich\n  äquivalent.\n\n\n======================================================================\n5. AUSBAUSTUFE 2 — VERSIONED BUILD PACKAGES\nPriorität: P1 / höchster Produktwert\n======================================================================\n\n5.1 Build Package Compiler\n\nZiel:\nAus Genome, Fusion oder Mutation entsteht ein versioniertes,\nmaschinenlesbares Build Package.\n\nAusgaben:\n\n- build-package.json\n- BUILD-PACKAGE.md\n- acceptance-plan.json\n- ACCEPTANCE-PLAN.md\n- agent-handoff.md\n\nPackage-Inhalt:\n\n- package_id\n- package_version\n- archive_snapshot_id\n- source projects\n- cited source IDs und chunk IDs\n- product contract\n- target users\n- primary workflows\n- functional requirements\n- non-functional requirements\n- non-goals\n- architecture decision records\n- stack decision\n- dependencies\n- environment variable names, niemals Werte\n- assumptions\n- conflicts\n- security gates\n- milestones\n- acceptance cases\n- rollback strategy\n\nDone:\n\n- Jede Requirement besitzt mindestens eine Evidence-ID oder explicit_assumption.\n- Package lässt sich erneut importieren und validieren.\n- Export → Import → Export bleibt bis auf Zeitstempel semantisch identisch.\n- Ungültige Schema-Versionen und manipulierte Hashes werden abgelehnt.\n\n\n5.2 Build Package Studio\n\nZiel:\nVisuelle Review- und Compiler-Oberfläche vor dem App-Start.\n\nFeatures:\n\n- Evidence / Decisions / Requirements / Risks / Tests als Tabs.\n- Requirement kann mit Evidence verbunden oder als Annahme markiert werden.\n- Conflict Resolver für widersprüchliche Projektentscheidungen.\n- Source Preview mit exakter Heading-Position.\n- Package Quality Meter:\n  - evidence coverage\n  - unresolved conflicts\n  - P0 test coverage\n  - security gates\n  - stale sources\n- Markdown- und JSON-Export.\n\nDone:\n\n- Package kann ohne Textdatei-Bearbeitung vollständig geprüft werden.\n- Unaufgelöste P0-Konflikte blockieren \"Ready for Build\".\n\n\n5.3 Fusion Conflict Matrix\n\nZiel:\nFusionen zeigen nicht nur Gemeinsamkeiten, sondern explizite Widersprüche.\n\nKonfliktklassen:\n\n- Frontend Framework\n- Backend / API\n- Datenbank\n- Auth\n- Deployment\n- State Management\n- Styling\n- Datenmodell\n- Produktversprechen\n- Zielgruppe\n- Lizenz / externe Abhängigkeit\n\nFeatures:\n\n- Entscheidung pro Konflikt:\n  - prefer source A\n  - prefer source B\n  - merge\n  - replace\n  - unresolved\n- Begründung und Evidence-Link.\n- Konfliktentscheidungen fließen in Build Package und ADRs.\n\nDone:\n\n- Kein erkannter Architekturkonflikt verschwindet still im Fusion Brief.\n- Jede Entscheidung besitzt Owner, Status und Begründung.\n\n\n======================================================================\n6. AUSBAUSTUFE 3 — ACCEPTANCE PLANNER UND RELEASE GATES\nPriorität: P1\n======================================================================\n\n6.1 Requirement-to-Test Traceability\n\nZiel:\nJede wichtige Anforderung wird mit einem überprüfbaren Acceptance Case\nverbunden.\n\nAcceptance Case:\n\n- case_id\n- requirement_id\n- priority\n- given / when / then\n- test type\n- manual or automated\n- command\n- expected result\n- evidence\n- status\n- artifact links\n\nDone:\n\n- 100 Prozent der P0 Requirements besitzen einen Test oder eine ausdrücklich\n  genehmigte Ausnahme.\n- Traceability Matrix wird als Markdown und JSON exportiert.\n\n\n6.2 Validation Runner\n\nZiel:\nBuild Packages können definierte Checks ausführen und Ergebnisse importieren.\n\nFeatures:\n\n- Unterstützte Check-Klassen:\n  - syntax\n  - unit\n  - integration\n  - browser DOM\n  - accessibility\n  - security scan\n  - link integrity\n  - workflow health\n- Result Bundle mit Zeit, Exit Code, Logs, Screenshot-Referenz und Package-ID.\n- P0 Gate blockiert Release bei failed oder unrun.\n\nDone:\n\n- Ein Package zeigt reproduzierbar pass / fail / blocked / not-run.\n- Ergebnisse sind von heuristischen Readiness-Scores getrennt.\n\n\n6.3 Evidence-grade Readiness\n\nZiel:\nReadiness klar nach Evidenzqualität unterscheiden.\n\nGrades:\n\n- documented: im Markdown beschrieben\n- inferred: aus Struktur oder Keywords abgeleitet\n- configured: in Code oder Workflow vorhanden\n- executed: Check wurde ausgeführt\n- verified: Acceptance Case ist bestanden\n- live: aktuelle externe Evidence\n\nDone:\n\n- UI und Exporte zeigen den Evidence Grade jeder Aussage.\n- \"Tests vorhanden\" und \"Tests bestanden\" sind niemals dieselbe Kennzahl.\n\n\n======================================================================\n7. AUSBAUSTUFE 4 — CHANGE DETECTION UND IMPACT ENGINE\nPriorität: P1/P2\n======================================================================\n\n7.1 Snapshot Diff\n\nZiel:\nZwei Archive Builds deterministisch vergleichen.\n\nDiff-Ebenen:\n\n- neue / entfernte / geänderte Quellen\n- Heading-Änderungen\n- Chunk-Änderungen\n- Dependency-Änderungen\n- Security-Findings\n- Readiness-Signale\n- Graph-Knoten und Kanten\n- Stack Snapshot Status\n\nDone:\n\n- Jeder Unterschied enthält alte und neue Evidence-ID.\n- Reine Zeitstempeländerungen erzeugen keinen inhaltlichen Diff.\n\n\n7.2 Stale Package Gate\n\nZiel:\nErkennen, ob ein früheres Build Package noch gültig ist.\n\nFeatures:\n\n- Package wird nur stale, wenn sich zitierte Sources, Dependencies,\n  Entscheidungen oder Gates geändert haben.\n- Impact-Erklärung:\n  - affected requirement\n  - changed evidence\n  - risk level\n  - recommended action\n- Optionen:\n  - accept unchanged\n  - regenerate section\n  - rebuild package\n  - archive package\n\nDone:\n\n- Änderungen außerhalb der Package-Evidence markieren das Package nicht\n  fälschlich als stale.\n- Jede Stale-Markierung ist erklärbar.\n\n\n7.3 Dependency Blast-to-Action\n\nZiel:\nGraph Studio nicht nur analysieren, sondern handlungsorientiert machen.\n\nFeatures:\n\n- Auswahl eines Dependency- oder Security-Knotens.\n- Liste betroffener Projekte und Packages.\n- Automatisch erzeugte Migration Checklist.\n- Priorisierung nach:\n  - Anzahl betroffener Projekte\n  - Package-Kritikalität\n  - Security Severity\n  - Rebuildability\n- Export als Impact Pack.\n\nDone:\n\n- Jeder Impact-Punkt verlinkt auf konkrete Projekte und Evidence.\n\n\n======================================================================\n8. AUSBAUSTUFE 5 — RAG QUALITY LAB\nPriorität: P1/P2\n======================================================================\n\n8.1 Retrieval Evaluation Dataset\n\nZiel:\nSearch-Qualität messbar statt nur subjektiv machen.\n\nDataset:\n\n- 30 bis 50 repräsentative Fragen\n- erwartete Source-IDs\n- erwartete Headings\n- negative cases\n- ambiguity cases\n- security redaction cases\n\nMetriken:\n\n- Recall@1 / @3 / @5\n- Mean Reciprocal Rank\n- citation validity\n- unsupported claim rate\n- unsafe answer rate\n- latency\n- remote payload size\n\nDone:\n\n- Jeder Generator-Build erzeugt einen Retrieval Quality Report.\n- Regressionen unter definierte Baselines blockieren den Release.\n\n\n8.2 Chunking Workbench\n\nZiel:\nHeading-, Größen- und Overlap-Strategien vergleichbar machen.\n\nFeatures:\n\n- Varianten:\n  - heading only\n  - fixed size\n  - heading plus overlap\n  - semantic section\n- Side-by-side Query Results.\n- Chunk Boundary Preview.\n- Metrikvergleich aus dem Evaluation Dataset.\n\nDone:\n\n- Gewählte Chunking-Strategie ist durch Messwerte begründet.\n\n\n8.3 Citation Auditor\n\nZiel:\nPrüfen, ob Antworten wirklich von den angegebenen Quellen getragen werden.\n\nFeatures:\n\n- Claim-Segmentierung.\n- Citation Coverage pro Claim.\n- Link auf exakten Evidence-Ausschnitt.\n- Kennzeichnung:\n  - supported\n  - partially supported\n  - unsupported\n  - citation missing\n- Kein automatisches Umschreiben der Quelle.\n\nDone:\n\n- Jede faktische Chat-Aussage hat mindestens eine überprüfbare Citation oder\n  wird als unbelegt markiert.\n\n\n8.4 Scalable Static Retrieval\n\nZiel:\nSchneller Start und stabile Suche bei deutlich größerem Corpus.\n\nFeatures:\n\n- Shards nach Domain, Cluster oder Corpus-Typ.\n- Lazy Loading pro Collection.\n- Web Worker für Ranking.\n- Precomputed Candidate Lists oder statischer ANN-Index.\n- Performance Budget für HTML, Metadata und Vector Load.\n\nDone:\n\n- Initiale Seite lädt ohne vollständige Vektordatei.\n- Suche bleibt auch bei 10-fachem Corpus interaktiv.\n\n\n======================================================================\n9. AUSBAUSTUFE 6 — GRAPH INTELLIGENCE 2.0\nPriorität: P2\n======================================================================\n\n9.1 Project Lineage\n\nZiel:\nVorgänger, Forks, Varianten und Nachfolger unterscheiden.\n\nFeatures:\n\n- Suggested lineage aus Namen, Stack, Textähnlichkeit und Zeit-Evidence.\n- Jede Kante zeigt Score und verwendete Signale.\n- Nutzer kann accept / reject / replace.\n- Bestätigte Overrides überleben Regeneration.\n\nDone:\n\n- Inferred Lineage wird nie als bestätigte Tatsache dargestellt.\n- Akzeptierte Kanten fließen in Genome und Build Package.\n\n\n9.2 Duplicate and Component Mining\n\nZiel:\nWiederverwendbare Produkt- und Codebausteine im Archiv finden.\n\nFeatures:\n\n- Ähnliche Auth-, Dashboard-, Search-, Export- und Data-Layer erkennen.\n- Gruppierung in Component Families.\n- Best Candidate nach Evidence, Readiness und Aktualität.\n- \"Reuse / Rewrite / Avoid\"-Empfehlung mit Begründung.\n\nDone:\n\n- Jede Empfehlung nennt Quellen und Konflikte.\n- Keine automatische Codeübernahme ohne Review.\n\n\n9.3 Architecture Pattern Atlas\n\nZiel:\nWiederkehrende Architekturen als Musterbibliothek sichtbar machen.\n\nBeispiele:\n\n- static single-page tool\n- React frontend plus API\n- data dashboard\n- RAG application\n- ecommerce\n- content publishing\n- workflow automation\n\nDone:\n\n- Pattern besitzt Projekte, Stack, Stärken, Risiken und passende Build Recipes.\n\n\n======================================================================\n10. AUSBAUSTUFE 7 — NEW APP BOOTSTRAP\nPriorität: P2\n======================================================================\n\n10.1 Agent-ready Scaffold Manifest\n\nZiel:\nEin freigegebenes Build Package wird zu einem sicheren App-Start.\n\nManifest:\n\n- stack\n- directory structure\n- required files\n- package names\n- workflow command\n- environment variable names\n- milestones\n- acceptance commands\n- non-goals\n- source package ID\n\nDone:\n\n- Ein Agent kann ohne weitere Archivrecherche mit dem Build beginnen.\n- Keine Secret-Werte befinden sich im Manifest.\n- Der gestartete Build referenziert sein Source Package.\n\n\n10.2 Starter Generator\n\nZiel:\nAus dem Scaffold Manifest eine minimale lauffähige Projektbasis erzeugen.\n\nFeatures:\n\n- dry-run file plan\n- conflict preview\n- explicit approval\n- starter code\n- workflow setup\n- baseline tests\n- README mit Package-Provenance\n\nDone:\n\n- Generiertes Projekt startet über den konfigurierten Workflow.\n- Baseline Acceptance Cases laufen.\n- Originalarchiv und bestehende Projekte bleiben unverändert.\n\n\n10.3 Build Progress Import\n\nZiel:\nFortschritt aus dem neuen Projekt zurück in die Factory spiegeln.\n\nFeatures:\n\n- Import eines Result Bundles.\n- Status pro Requirement und Acceptance Case.\n- neue Evidence:\n  - implemented\n  - tested\n  - verified\n  - blocked\n- Diff zwischen Build Package und tatsächlicher Implementierung.\n\nDone:\n\n- Factory kann zeigen, welche Package-Anforderungen umgesetzt oder\n  abgewichen wurden.\n\n\n======================================================================\n11. AUSBAUSTUFE 8 — PORTFOLIO UND OPERATIONS\nPriorität: P2/P3\n======================================================================\n\n11.1 Portfolio Command Center\n\nFeatures:\n\n- Projekte nach Produktfamilie, Readiness, Rebuildability und Evidence Grade.\n- Build Packages nach draft / approved / stale / building / verified.\n- Top Opportunities.\n- Top Risks.\n- Duplicate Product Candidates.\n- Missing Export Queue.\n- Published-but-unverified Queue.\n\n\n11.2 Opportunity Scoring\n\nDimensionen:\n\n- documented user value\n- uniqueness in archive\n- reusable components\n- build effort\n- risk\n- evidence confidence\n- related project leverage\n\nRegel:\nOpportunity Scores bleiben Heuristiken und zeigen ihre Evidence.\n\n\n11.3 Archive Ingestion Queue\n\nFeatures:\n\n- fehlende Draft-, Published- und Failed-Exporte als Queue.\n- Status:\n  - missing\n  - requested\n  - received\n  - sanitized\n  - indexed\n  - reviewed\n- Duplicate Detection vor Import.\n- Snapshot-ID pro Ingestion Batch.\n\n\n11.4 Live Evidence Scheduler\n\nNur sinnvoll mit Backend oder kontrollierter Ausführungsumgebung.\n\nFeatures:\n\n- periodische Published-URL-Prüfung\n- Redirect Chain\n- HTTP Status\n- TLS / DNS / Timeout\n- letzter erfolgreicher Check\n- Change History\n\nSicherheitsregeln:\n\n- Private IPs und interne Hosts blockieren.\n- Redirects erneut validieren.\n- Größen- und Zeitlimits.\n- Live Evidence niemals als Snapshot-Status speichern.\n\n\n======================================================================\n12. AUSBAUSTUFE 9 — COLLABORATION\nPriorität: P3 / erst nach versionierten Packages\n======================================================================\n\n12.1 Review and Approval\n\n- Kommentare an Requirement, Decision, Risk und Acceptance Case.\n- Rollen: author, reviewer, approver.\n- Approval immer an eine unveränderliche Package-Version gebunden.\n- Neue Version invalidiert alte Approval nicht, übernimmt sie aber auch nicht.\n\n\n12.2 Decision Log\n\n- append-only Entscheidungen\n- Autor, Zeit, Package-Version, Evidence\n- supersedes-Verknüpfung statt stiller Überschreibung\n- Export als ADR Bundle\n\n\n12.3 Shared Collections\n\n- Servergestützte Collections statt localStorage.\n- Berechtigungen und Ownership.\n- Import / Export.\n- localStorage niemals als Autorisierung behandeln.\n\n\n======================================================================\n13. TECHNISCHE QUALITÄT UND REFACTORING\n======================================================================\n\n13.1 Generator modularisieren\n\nVorschlag:\n\ntools/archive_intelligence/\n  models.py\n  sources.py\n  sanitization.py\n  provenance.py\n  scoring.py\n  graph.py\n  stack_audit.py\n  build_packages.py\n  templates/\n    common.css\n    common.js\n    project-genome.html\n    build-factory.html\n    stack-gap-audit.html\n\nDone:\n\n- Fachlogik kann ohne HTML-Stringtests getestet werden.\n- Jede Seite hat einen klaren Generator-Einstiegspunkt.\n- Gemeinsame UI-Komponenten liegen nur einmal vor.\n\n\n13.2 Contract Test Suite\n\nFixtures:\n\n- minimales Projekt\n- großes Projekt\n- fehlende Datei\n- Duplicate Name\n- Unicode / Sonderzeichen\n- relative Creation Date\n- Secret Fixture\n- ungültige URL\n- widersprüchliche Fusion\n- veraltetes Manifest\n\nChecks:\n\n- deterministic output\n- stable IDs\n- sanitization\n- context cap\n- source hashes\n- stale package detection\n- HTML JavaScript syntax\n- browser DOM smoke\n- download round-trip\n\n\n13.3 Data Schemas\n\n- JSON Schema für:\n  - archive intelligence\n  - RAG manifest\n  - provenance manifest\n  - build package\n  - acceptance plan\n  - validation result\n  - live evidence result\n- schema_version ist verpflichtend.\n- Breaking Changes benötigen Migration oder klare Ablehnung.\n\n\n13.4 Performance Budgets\n\n- maximale initiale HTML-Größe\n- maximale Metadata-Größe\n- Time-to-interactive\n- Search latency\n- Vector lazy-load time\n- Memory ceiling\n- maximaler Remote Payload\n\n\n======================================================================\n14. EMPFOHLENE UMSETZUNGSREIHENFOLGE\n======================================================================\n\nPHASE A — Safety Baseline\n\n1. Sanitized Corpus Compiler\n2. Hard Context Budget\n3. Public Artifact Security Gate\n4. Remote Egress Transparency\n\nPHASE B — Trusted Evidence\n\n5. Provenance Manifest\n6. Immutable Snapshot Dates\n7. Data Schemas\n8. Generator Contract Tests\n\nPHASE C — Evidence to Execution\n\n9. Build Package Compiler\n10. Build Package Studio\n11. Fusion Conflict Matrix\n12. Requirement-to-Test Traceability\n\nPHASE D — Validation\n\n13. Acceptance Planner\n14. Validation Runner\n15. Evidence-grade Readiness\n16. Retrieval Evaluation Dataset\n\nPHASE E — Change Intelligence\n\n17. Snapshot Diff\n18. Stale Package Gate\n19. Dependency Blast-to-Action\n20. Project Lineage\n\nPHASE F — App Creation\n\n21. Agent-ready Scaffold Manifest\n22. Starter Generator\n23. Build Progress Import\n\nPHASE G — Scale and Collaboration\n\n24. Scalable Static Retrieval\n25. Portfolio Command Center\n26. Archive Ingestion Queue\n27. Optional Live Evidence Scheduler\n28. Review, Approval and Shared Collections\n\n\n======================================================================\n15. TOP 10 NÄCHSTE FEATURES NACH WERT / AUFWAND\n======================================================================\n\n1. Sanitized publication boundary\n   Wert: kritisch\n   Aufwand: mittel\n\n2. Hard context budget\n   Wert: sehr hoch\n   Aufwand: niedrig bis mittel\n\n3. Provenance manifest\n   Wert: sehr hoch\n   Aufwand: mittel\n\n4. Build Package Compiler\n   Wert: sehr hoch\n   Aufwand: mittel\n\n5. Acceptance Planner\n   Wert: sehr hoch\n   Aufwand: mittel\n\n6. Snapshot Diff und Stale Package Gate\n   Wert: hoch\n   Aufwand: niedrig bis mittel\n\n7. Retrieval Evaluation Dataset\n   Wert: hoch\n   Aufwand: mittel\n\n8. Fusion Conflict Matrix\n   Wert: hoch\n   Aufwand: mittel\n\n9. Agent-ready Scaffold Manifest\n   Wert: hoch\n   Aufwand: mittel\n\n10. Generator modularisieren und Contract Tests\n    Wert: hoch\n    Aufwand: mittel bis hoch\n\n\n======================================================================\n16. DEFINITION DER \"ULTIMATIVEN CODE FACTORY\"\n======================================================================\n\nDie Code Factory ist vollständig, wenn folgender Flow durchgehend funktioniert:\n\n1. Ein versionierter Archive Snapshot wird importiert.\n2. Alle publishable Artefakte werden vor ihrer Erzeugung sanitisiert.\n3. RAG, Graph und Intelligence referenzieren dieselbe Snapshot-ID.\n4. Nutzer wählt ein Genome oder kompiliert eine Multi-Project Fusion.\n5. Architekturkonflikte werden sichtbar entschieden.\n6. Die Factory erzeugt ein versioniertes Build Package.\n7. Jede P0 Requirement besitzt Evidence und Acceptance Case.\n8. Das Package erzeugt ein agent-ready Scaffold Manifest.\n9. Ein neues Projekt kann aus dem Manifest gestartet werden.\n10. Tests und Browserchecks erzeugen ein Validation Result Bundle.\n11. Ergebnisse fließen zurück in Evidence-grade Readiness.\n12. Neue Archive Snapshots markieren betroffene Packages nachvollziehbar stale.\n13. Nutzer kann gezielt rebuild, migrate, approve oder archive wählen.\n\nZielbild:\n\nARCHIVE\n→ SANITIZED CORPUS\n→ PROVENANCE\n→ GENOME\n→ FUSION\n→ CONFLICT RESOLUTION\n→ BUILD PACKAGE\n→ ACCEPTANCE PLAN\n→ APP BOOTSTRAP\n→ VALIDATION\n→ CHANGE IMPACT\n→ VERIFIED PRODUCT\n",
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        "overview": "<!doctype html> <html lang=\"de\"> <head> <meta charset=\"utf-8\"> <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"> <meta name=\"description\" content=\"DOMVS AVREA — flacher Root-Einstieg in MD Atlas, Archive Tools und Prompt Libraries.\"> <title>DOMVS AVREA — Root Index</title> <style> :root { color-scheme: dark; --bg:#101211; --panel:#191d1a; --ink:#eeeae0; --dim:#b7b7ae; --gold:#d0ad6f; --line:rgba(231,229,218,.15); } * { box-sizing:border-box; } body { margin:0; min-width:320px; background:radial-gradient(circle at 90% 0, rgba(208,173,111,.14), transparent 35rem),var(--bg); color:var(--ink); font:15px/1.6 system-ui,sans-serif; } main { max-width:980px; margin:0 auto; padding:clamp(28px,7vw,80px) 22px; } .eyebrow { color:var(--gold); font:11px/1.4 monospace; letter-spacing:.16em; text-transform:uppercase; } h1,h2 {",
        "content": "<!doctype html>\n<html lang=\"de\">\n  <head>\n    <meta charset=\"utf-8\">\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n    <meta name=\"description\" content=\"DOMVS AVREA — flacher Root-Einstieg in MD Atlas, Archive Tools und Prompt Libraries.\">\n    <title>DOMVS AVREA — Root Index</title>\n    <style>\n      :root { color-scheme: dark; --bg:#101211; --panel:#191d1a; --ink:#eeeae0; --dim:#b7b7ae; --gold:#d0ad6f; --line:rgba(231,229,218,.15); }\n      * { box-sizing:border-box; }\n      body { margin:0; min-width:320px; background:radial-gradient(circle at 90% 0, rgba(208,173,111,.14), transparent 35rem),var(--bg); color:var(--ink); font:15px/1.6 system-ui,sans-serif; }\n      main { max-width:980px; margin:0 auto; padding:clamp(28px,7vw,80px) 22px; }\n      .eyebrow { color:var(--gold); font:11px/1.4 monospace; letter-spacing:.16em; text-transform:uppercase; }\n      h1,h2 { font-family:Georgia,serif; letter-spacing:-.04em; }\n      h1 { max-width:760px; margin:14px 0 12px; font-size:clamp(42px,8vw,82px); line-height:.98; }\n      h1 em { color:var(--gold); font-weight:400; }\n      .intro { max-width:680px; color:var(--dim); }\n      .grid { display:grid; grid-template-columns:repeat(auto-fit,minmax(230px,1fr)); gap:12px; margin-top:34px; }\n      .card { display:block; padding:19px; color:var(--ink); background:var(--panel); border:1px solid var(--line); border-radius:12px; text-decoration:none; transition:transform .18s,border-color .18s; }\n      .card:hover,.card:focus-visible { transform:translateY(-2px); border-color:var(--gold); outline:none; }\n      .card strong { display:block; color:var(--gold); font:11px monospace; letter-spacing:.08em; text-transform:uppercase; }\n      .card span { display:block; margin-top:7px; color:var(--dim); font-size:13px; }\n      .section { margin-top:42px; }\n      h2 { margin:0 0 13px; font-size:30px; }\n      .links { display:flex; flex-wrap:wrap; gap:9px; }\n      .links a { padding:8px 11px; color:var(--gold); border:1px solid var(--line); border-radius:7px; font:12px monospace; text-decoration:none; }\n      .links a:hover,.links a:focus-visible { border-color:var(--gold); outline:none; }\n      footer { margin-top:40px; color:#858b82; font:11px monospace; }\n    </style>\n  </head>\n  <body>\n    <main>\n      <div class=\"eyebrow\">DOMVS AVREA // ROOT INDEX</div>\n      <h1>Archive <em>entry points.</em></h1>\n      <p class=\"intro\">Ein flacher, direkter Einstieg in Atlas, Control Room, Vector Lab und alle Prompt-Bibliotheken. Jede Quelle bleibt separat erreichbar und provenance-seitig gekennzeichnet.</p>\n      <section class=\"grid\" aria-label=\"Primary archive tools\">\n        <a class=\"card\" href=\"0-REPLIT-MD-EXPORT/\"><strong>MD Atlas ↗</strong><span>Project reader, ebooks, HTML analyses and local collections.</span></a>\n        <a class=\"card\" href=\"ARCHIVE-TOOLS/\"><strong>Control Room ↗</strong><span>Archive intelligence, graph, readiness and build tools.</span></a>\n        <a class=\"card\" href=\"RAG-EXPORT/RAG-VECTOR-LAB.html\"><strong>Vector Lab ↗</strong><span>Hybrid retrieval, citations and grounded archive chat.</span></a>\n        <a class=\"card\" href=\"PROMPT-LIBRARIES.md\"><strong>Prompt Libraries ↗</strong><span>All flat-root prompt lists in one separate index.</span></a>\n      </section>\n      <section class=\"section\" aria-labelledby=\"promptTitle\">\n        <h2 id=\"promptTitle\">Prompt libraries</h2>\n        <div class=\"links\">\n          <a href=\"100-database.md\">100 database</a>\n          <a href=\"dvag-100-prompts.md\">dvag prompts</a>\n          <a href=\"dvag-100.md\">dvag alias</a>\n          <a href=\"stack-100-prompts.md\">stack prompts</a>\n          <a href=\"school-100.md\">school prompts</a>\n        </div>\n      </section>\n      <footer>Original sources remain unchanged. Discovery catalogs and prompt libraries are not local project evidence.</footer>\n    </main>\n    <script>\n      if (location.search || location.hash) {\n        location.replace(\"0-REPLIT-MD-EXPORT/\" + location.search + location.hash);\n      }\n    </script>\n  </body>\n</html>",
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        "title": "100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)",
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        "overview": "--- project: 100-religious-spiritual-complex-html5-app-prompts category: Prompt-Bibliothek cluster: Religiös / Spirituell tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, Leaflet, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, katholisch, spiritualitaet, liturgie, gebet, interreligioes, kirchengeschichte, pilgerreise, pfarrei] --- # 100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400) ## Overview Batch 4 der Prompt-Bibliothek widmet sich einem der am häufigsten wiederkehrenden Themenfelder im eigenen HTML-MD-EXPORT-Archiv: katholische und interreligiöse Spiritualität. Reale Projekte aus dem Bestand bilden den Ausgangspunkt — ANGELUS, ROSENKRANZ und HTML-BACKUP (Kreuzweg-Andacht) im Gebetsbereich, kath-ki, messandach",
        "content": "---\nproject: 100-religious-spiritual-complex-html5-app-prompts\ncategory: Prompt-Bibliothek\ncluster: Religiös / Spirituell\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, Leaflet, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, katholisch, spiritualitaet, liturgie, gebet, interreligioes, kirchengeschichte, pilgerreise, pfarrei]\n---\n\n# 100 Religiös-Spirituelle HTML5 App-Prompts (Batch 4, #301-#400)\n\n## Overview\nBatch 4 der Prompt-Bibliothek widmet sich einem der am häufigsten wiederkehrenden Themenfelder im eigenen HTML-MD-EXPORT-Archiv: katholische und interreligiöse Spiritualität. Reale Projekte aus dem Bestand bilden den Ausgangspunkt — ANGELUS, ROSENKRANZ und HTML-BACKUP (Kreuzweg-Andacht) im Gebetsbereich, kath-ki, messandacht (tridentinische Messandacht) und liturgie-1 (Ritenvergleich) im liturgischen Bereich, kempis (De Imitatione Christi) und summa (scholastisches Glossar) in der Glaubensbildung, koran-bibel-erweiterte-analyse und nostra-aetate-analyse im interreligiösen Dialog, sowie kathbot31/kathsafe6/kathbottts als KI-Chatbot-Linie mit einer dokumentierten Sicherheitslehre. Ziel dieses Batches ist es, dieses Themenfeld seriös, respektvoll und fachlich fundiert weiterzubauen — als echtes Andachts-, Studien- und Verwaltungswerkzeug für gläubige Nutzer, nicht als Persiflage.\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße, 2500+ Zeilen Code, 250+ Components, 8+ GSAP-Animationen, Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts/Leaflet + D3.js + GSAP + LocalStorage/IndexedDB\n- Theologisch und liturgisch korrekt recherchiert (echte Gebetstexte, echte liturgische Abläufe, echte historische Daten), Ton durchgehend respektvoll und für echte gläubige Nutzer gedacht — keine Satire\n\n## Kategorie 1: GEBETS-APPS & ANDACHTEN (10 Prompts)\n\n1. **#301** — erstelle eine interaktive Rosenkranz-App mit allen vier Gesätzen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Freudenreiche/Schmerzhafte/Glorreiche/Lichtreiche Geheimnisse mit automatischer Wochentags-Zuordnung nach traditionellem Kalender, Perlen-Zähler-Visualisierung mit Fortschrittsanzeige pro Gesätz, vollständige Gebetstexte Vaterunser/Ave Maria/Gloria Patri einblendbar, Meditations-Impuls pro Geheimnis mit Bibelstellen-Bezug, Audio-Vorlese-Mockup-Steuerung mit Geschwindigkeitsregler, Tages-Streak-Tracker für tägliches Beten (ApexCharts Kalender-Heatmap), Fatima-Zusatzgebet nach jedem Gesätz einblendbar, Rosenkranz-Historie mit Datum und gebeteten Geheimnissen, Mehrsprachigkeit Latein/Deutsch umschaltbar, Vollbild-Andachts-Modus ohne Ablenkung, Vibrations-/Ton-Feedback pro abgeschlossenem Gesätz, GSAP Perlen-Übergangs-Animationen - USE CASE: Gläubige beten den Rosenkranz strukturiert auch unterwegs ohne physische Kette, Katechese-Gruppen nutzen die App zur Einführung von Kindern und Neubekehrten in die traditionelle Gebetsform.\n\n2. **#302** — entwickle eine Angelus-Glocken-App mit Regina-Caeli-Umschaltung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Automatische Erinnerung um 6/12/18 Uhr nach traditioneller Angelus-Zeit, vollständiger Angelus-Text mit dreifachem Ave Maria, automatische Umschaltung auf Regina Caeli während der Osterzeit von Ostern bis Pfingsten, Glockenschlag-Simulation dreimal drei Schläge plus neun, Kniebeuge-Erinnerung zur Inkarnations-Verse, persönliche Gebets-Statistik verpasste/gebetete Angelus (ApexCharts Balken), Angelus-Herkunfts-Erklärung historischer Hintergrund seit 14. Jahrhundert, Zeitzonen-Anpassung für Reisende, Stiller-Modus für Andachts-Räume, Wochenübersicht Gebetsdisziplin, Export Gebets-Historie, GSAP Glocken-Läute-Animationen - USE CASE: Gläubige halten die traditionelle dreimalige Tagesheiligung auch im hektischen Alltag ein, Ordensgemeinschaften und Gebetsgruppen synchronisieren ihre Angelus-Zeiten über die App.\n\n3. **#303** — programmiere eine Kreuzweg-Andachts-App mit 14 Stationen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle 14 klassischen Stationen von Verurteilung bis Grablegung mit Bildplatzhalter pro Station, franziskanische Meditationstexte pro Station einblendbar, Fortschritts-Leiste durch die Stationen mit Zeitschätzung, alternative 15. Station Auferstehung optional zuschaltbar, Fastenzeit-Modus mit täglicher Erinnerung besonders freitags, Gemeinschafts-Modus für gemeinsames Beten in der Kirche mit Vorbeter-Text, Gesätz-übergreifende Stille-Minuten-Timer pro Station, historische Herkunfts-Erklärung der Kreuzweg-Tradition seit den Franziskanern im Heiligen Land, persönliches Andachts-Tagebuch pro durchlaufenem Kreuzweg, Sprachumschaltung Latein/Deutsch für die Stationstitel, Offline-Verfügbarkeit für Kirchenräume ohne Netz, GSAP Stations-Übergangs-Animationen mit Kreuz-Motiv - USE CASE: Gläubige beten den Kreuzweg besonders in der Fastenzeit strukturiert nach, Pfarreien nutzen die App als Vorlage für gemeinschaftliche Karfreitags-Andachten in der Kirche.\n\n4. **#304** — baue ein Ignatianisches Gewissenserforschungs-Tool nach dem Examen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fünf klassische Examen-Schritte Dankbarkeit/Bitte-um-Licht/Rückblick/Reue/Vorsatz geführt nacheinander, Tages-Rückblick-Journal mit Freitext pro Schritt, Tugend-und-Laster-Checkliste nach den sieben Hauptsünden strukturiert, wöchentliche Muster-Erkennung wiederkehrender Fehltritte (D3.js Häufigkeitsdiagramm), Beichtvorbereitungs-Export als druckbare Zusammenfassung, Ignatius-Zitate-Rotation zur Einstimmung, Stimmungs-Tracker vor und nach dem Examen, Erinnerungs-Funktion abends und mittags nach ignatianischer Tradition zweimal täglich, Vertraulichkeits-Hinweis alle Daten bleiben lokal, Fortschritts-Statistik regelmäßige Praxis über Wochen (ApexCharts Kalender-Heatmap), Anpassbare Gebetsformeln zu Beginn und Ende, GSAP Schritt-Übergangs-Animationen - USE CASE: Exerzitien-Teilnehmer üben die tägliche Gewissenserforschung nach ignatianischer Methode strukturiert ein, Beichtvorbereitung wird durch die gesammelten Muster über mehrere Wochen erleichtert.\n\n5. **#305** — erstelle ein Gebetsanliegen-Tagebuch mit Erhörungs-Tracking - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Anliegen-Erfassung mit Kategorien Familie/Gesundheit/Beruf/Kirche/Verstorbene, Fürbitten-für-andere-Sektion getrennt von eigenen Anliegen, Status-Tracking Offen/Erhört/Anders-als-erwartet mit Datum, Dankgebets-Erinnerung bei markierter Erhörung, Verknüpfung mit passenden Fürsprechern Heilige nach Zuständigkeit, Wiederkehrende-Anliegen-Funktion für Dauergebete, Gebetsketten-Organisation mehrere Personen beten für dasselbe Anliegen, Anonymitäts-Option für sensible Anliegen, Jahresrückblick gebetete und erhörte Anliegen (ApexCharts Donut), Export als PDF für Gebetsgruppen, Verstorbenen-Gedenkliste mit Jahrestagen, GSAP Karten-Einblend-Animationen beim Hinzufügen - USE CASE: Gläubige halten ihre Fürbitten strukturiert fest statt sie zu vergessen, Gebetsgruppen und Pfarreien koordinieren gemeinsame Anliegenlisten über längere Zeiträume nachvollziehbar.\n\n6. **#306** — entwickle einen Novenen-Tracker für 9-tägige Andachten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Novenen-Bibliothek zu verschiedenen Anlässen Heiliger-Geist-Novene vor Pfingsten/Herz-Jesu-Novene/Novene zur Gottesmutter, täglicher Fortschrittsbalken über die neun Tage, vollständiger Gebetstext pro Tag mit thematischem Tagesimpuls, Erinnerungs-Benachrichtigung zur gewählten Uhrzeit, Start-Datum-Rückrechnung bei Zielfest zum Beispiel Pfingsten, persönliche Notizen pro Novenen-Tag, Novenen-Historie abgeschlossene Andachten im Überblick (ApexCharts Zeitleiste), Unterbrechungs-Handling Nachholen bei verpasstem Tag, Gemeinschafts-Novene-Modus mehrere Personen zählen mit, eigene Novene erstellen mit individuellen Texten, Abschluss-Zeremonie-Bildschirm nach Tag neun, GSAP Tages-Freischalt-Animationen - USE CASE: Gläubige bereiten sich strukturiert auf große Feste wie Pfingsten oder Mariä Himmelfahrt mit einer Novene vor, Gebetsgemeinschaften synchronisieren gemeinsame neuntägige Andachten trotz räumlicher Trennung.\n\n7. **#307** — programmiere einen Stundengebet-Begleiter nach dem Vier-Wochen-Psalter - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle Gebetszeiten Laudes/Terz/Sext/Non/Vesper/Komplet mit korrektem Tagesablauf, automatische Zuordnung zum Vier-Wochen-Psalter-Zyklus nach liturgischem Kalender, Tages-Hymnus und Psalmen mit Antiphonen passend zur Kirchenjahreszeit, Kurzlesung und Fürbitten pro Gebetszeit, Erinnerungs-Benachrichtigungen zu den klassischen Gebetszeiten, Fortschritts-Tracking regelmäßig gebetete Horen (ApexCharts Kalender-Heatmap), Sonn-und-Feiertags-Sonderpsalmen automatisch eingeblendet, Laien-vereinfachte-Kurzform als Alternative zum vollen Brevier, Lesezeichen letzte gebetete Hore, Gemeinschafts-Chor-Modus für gemeinsames Beten mit Vorsänger-Kennzeichnung, Offline-Psalter-Datenbank vollständig lokal, GSAP Horen-Wechsel-Animationen - USE CASE: Priester, Ordensleute und Laien beten das Stundengebet auch unterwegs korrekt nach dem aktuellen liturgischen Tag, Neueinsteiger lernen die Struktur des Breviers über die vereinfachte Kurzform kennen.\n\n8. **#308** — baue eine Herz-Jesu-Ersttage-Andacht mit den Zwölf Verheißungen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erste-Freitag-Tracker über neun aufeinanderfolgende Monate nach der Margareta-Maria-Alacoque-Tradition, vollständiger Text der Zwölf Verheißungen des Herzens Jesu mit Erläuterung, Erinnerungs-Benachrichtigung am ersten Freitag jeden Monats, Sühnegebet und Herz-Jesu-Litanei vollständig hinterlegt, Fortschritts-Visualisierung erfüllte Monate von neun (ApexCharts Radial), Beichte-und-Kommunion-Checkliste als Voraussetzung der Andacht, historische Einführung Vision von Paray-le-Monial 1673, Herz-Jesu-Fest-Countdown Freitag nach Fronleichnam, persönliches Andachts-Tagebuch pro Monat, Unterbrechungs-Warnung bei verpasstem Erstfreitag mit Neustart-Option, Erinnerung an Herz-Mariä-Sühnesamstage als Ergänzung, GSAP Herz-Symbol-Puls-Animationen - USE CASE: Gläubige praktizieren die traditionelle Neun-Erstfreitage-Andacht diszipliniert über neun Monate hinweg, die App dokumentiert den Fortschritt als Gedächtnisstütze bei einer Andacht die leicht durch einen verpassten Monat unterbrochen wird.\n\n9. **#309** — erstelle einen Maiandacht- und Rosenkranzmonat-Begleiter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zwei Marienmonate Mai und Oktober mit jeweils eigenem Tagesimpuls-Kalender, Lauretanische Litanei vollständig mit allen Anrufungen, tägliche Marienandacht-Vorlage mit wechselnden Bibelstellen, Marienlieder-Sammlung mit Textanzeige nach Jahreszeit, historische Einführung Ursprung der Maiandacht im 19. Jahrhundert, Blumenschmuck-Symbolik-Erklärung zur Marienstatue, Gemeinschafts-Andachts-Modus für Pfarrgruppen mit Vorbeter-Rolle, Fortschritts-Tracker durchlaufene Andachtstage pro Monat (ApexCharts Kalender-Heatmap), Marienfeste-Übersicht innerhalb des Monats Mariä Heimsuchung/Rosenkranzfest, persönliche Gebetsanliegen-Verknüpfung an Maria, Vorlagen für Kinder-Maiandachten vereinfachte Sprache, GSAP Blüten-Einblend-Animationen - USE CASE: Pfarreien und Familien gestalten die traditionellen Marienmonate Mai und Oktober strukturiert mit täglich wechselnden Impulsen, Katecheten nutzen die kindgerechten Vorlagen für Maiandachten mit Erstkommunionkindern.\n\n10. **#310** — entwickle einen Timer für eucharistische Anbetung mit Taizé-Gesängen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Anbetungsstunden-Timer mit sanfter Erinnerungsglocke nach ignatianischer Stille-Tradition, Taizé-Gesangstexte-Sammlung mit Wiederholungs-Struktur für meditatives Singen, stille-Anbetung-Modus ohne visuelle Ablenkung nur Kerzen-Animation, Anbetungsplan-Koordination für Gemeinden mit Zeitfenster-Anmeldung Ewige Anbetung, Schriftlesungs-Vorschläge zur Betrachtung während der Anbetung, persönliche Anbetungs-Historie über Wochen und Monate (ApexCharts Balken), Tabernakel-Symbolik-Erklärung für Erstteilnehmer, Anbetungs-Gebete Tantum Ergo und O Salutaris Hostia vollständig hinterlegt, Erinnerungs-Funktion für zugewiesene Wochenstunde, Vertretungs-Anfrage-Funktion bei Verhinderung, Gemeinschaftsübersicht wer betet wann Transparenz für Koordinatoren, GSAP Kerzenflammen-Animationen - USE CASE: Pfarreien mit Ewiger Anbetung organisieren die Stundenbesetzung zuverlässig und lückenlos, einzelne Gläubige vertiefen die eigene Anbetungszeit durch begleitende Taizé-Gesänge und Lesungsvorschläge.\n\n## Kategorie 2: LITURGIE & MESSORDNUNG TOOLS (10 Prompts)\n\n11. **#311** — erstelle ein Vergleichstool Tridentinische Messe versus Novus Ordo - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Side-by-Side-Ablaufvergleich beider Formen des Römischen Ritus von Stufengebet bis Schlusssegen, Unterschied Ad-Orientem versus Versus-Populum mit Erklärung, Confiteor-Vergleich einmal versus zweimal je nach Form, Kanon-Text-Gegenüberstellung Römischer Kanon in beiden Formen, Kirchenlatein-Original neben deutscher Übersetzung, historische Einordnung Missale von 1962 versus Missale von 1970 nach Summorum Pontificum, liturgische Gesten-Vergleichstabelle Kniebeugen und Verneigungen, Ministranten-Rollen-Unterschiede pro Form, Audioaussprache-Hinweise für lateinische Passagen, Glossar Fachbegriffe Orate-Fratres/Sanctus/Agnus-Dei verlinkt, persönlicher Notizbereich für liturgische Beobachtungen, GSAP Abschnitts-Vergleichs-Animationen - USE CASE: Gläubige die zwischen beiden Formen wechseln verstehen die strukturellen Unterschiede fundiert statt verunsichert zu sein, Katecheten erklären Interessierten die Kontinuität des Römischen Ritus anhand des direkten Vergleichs sachlich und ohne die eine Form gegen die andere auszuspielen.\n\n12. **#312** — entwickle einen liturgischen Kalender mit beweglichen Festen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständiges Kirchenjahr Advent bis Christkönigssonntag mit korrekter Festrangordnung Hochfest/Fest/Gedenktag, automatische Osterdatum-Berechnung nach dem gregorianischen Computus mit Erklärung der Berechnung, bewegliche Feste automatisch abgeleitet Aschermittwoch/Christi-Himmelfahrt/Pfingsten/Fronleichnam, Lesejahr-Anzeige A/B/C und Wochentagslesejahr I/II, liturgische Farbe des Tages automatisch angezeigt, Eigenfeste-Verwaltung für Diözesan- und Ordenskalender zusätzlich zum Generalkalender, Countdown zu wichtigen Festen mit Vorbereitungshinweisen, Vergleich Julianischer versus Gregorianischer Festkalender für ostkirchlichen Kontext, Export als druckbarer Jahreskalender PDF, Suchfunktion nach bestimmten Heiligenfesten, Erinnerungs-Benachrichtigung Vortag wichtiger Feste, GSAP Kalenderblatt-Wechsel-Animationen - USE CASE: Pfarreien planen Gottesdienste und Predigten mit korrekter liturgischer Festrangordnung, Gläubige verstehen die Berechnung des beweglichen Osterfestes anhand der nachvollziehbaren Computus-Erklärung.\n\n13. **#313** — programmiere einen Paramentenfarben-Tagestracker - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle liturgische Farbe automatisch aus Kirchenjahr abgeleitet Grün-Violett-Weiß-Rot-Rosa, Bedeutungs-Erklärung pro Farbe Buße/Freude/Martyrium/Auferstehung, Rosa-Sonntage-Sonderfall Gaudete und Laetare mit historischer Erläuterung, Schwarz-Option für Requiem-Messen mit heutiger Gebräuchlichkeits-Einordnung, Jahresübersicht Farbverteilung über das Kirchenjahr (ApexCharts Donut), Sakristei-Checkliste welche Paramente für welchen Sonntag vorzubereiten sind, Ausnahme-Regeln Marienfeste in der Fastenzeit mit weißer statt violetter Farbe, Bildergalerie-Platzhalter typischer Paramente-Sets pro Farbe, Diözesan-Sonderregelungen-Feld für lokale Bräuche, Erinnerungs-Funktion für Sakristane am Vorabend, Regionale-Varianten-Hinweis zwischen Ritus-Familien, GSAP Farbwechsel-Animationen - USE CASE: Sakristane und Messdiener bereiten die korrekten Paramente ohne Nachschlagen im Direktorium vor, Katecheten erklären Erstkommunionkindern die Symbolik der liturgischen Farben anschaulich.\n\n14. **#314** — baue einen Ritenvergleich-Explorer der katholischen Kirchen sui iuris - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fünf große Ritenfamilien Römisch/Byzantinisch/Armenisch/Syrisch/Koptisch mit Grundstruktur-Vergleich der jeweiligen Messfeier, Ikonostase-Erklärung für den byzantinischen Ritus mit Bildschema, Epiklese-Positions-Vergleich zwischen den Riten, Sprachen-Übersicht Kirchenslawisch/Klassisches-Armenisch/Syrisch/Koptisch neben der jeweiligen Landessprache, geografische Verbreitungskarte-Mockup der jeweiligen Kirche sui iuris, Kalender-Unterschiede Julianisch versus Gregorianisch je nach Kirche, Gewänder-Vergleichstabelle pro Ritus, historische Herkunfts-Erklärung gemeinsame Einheit mit Rom bei eigener liturgischer Tradition, Gesang-Charakteristika pro Ritus Byzantinischer-Oktoechos/Gregorianik, Fastenregeln-Vergleich zwischen den Riten, Glossar ritenspezifischer Fachbegriffe, GSAP Riten-Wechsel-Übergangs-Animationen - USE CASE: Studierende der Liturgiewissenschaft verschaffen sich einen fundierten Überblick über die Vielfalt der mit Rom unierten Ostkirchen, Gläubige lateinischen Ritus verstehen respektvoll die eigenständige liturgische Tradition ihrer Glaubensgeschwister anderer Kirchen sui iuris.\n\n15. **#315** — erstelle eine Ministranten-Ausbildungs-App mit Prüfungs-Modus - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Lernpfad vom Kerzenträger bis zum Leuchterdienst mit steigendem Schwierigkeitsgrad, interaktive Ablauf-Simulation der heiligen Messe mit korrekten Einsatzpunkten pro Dienst, Antworten-Trainer lateinische und deutsche Messantworten mit Aussprache-Hinweis, Thurifer-Sonderausbildung Weihrauchfass-Handhabung mit Schritt-für-Schritt-Anleitung, Gewänder-Kunde Talar/Rochett/Zingulum mit Bildzuordnung, Quiz-Modus vor der Ministranten-Aufnahme mit Zertifikat, Übungs-Checkliste für den ersten eigenständigen Dienst, Kalender-Integration eigene Dienstplan-Termine, Fortschritts-Abzeichen-System nach Dienstgraden (ApexCharts Radial), Häufige-Fehler-Galerie mit Korrektur-Hinweis, Video-Platzhalter für Bewegungsabläufe, GSAP Ablauf-Simulations-Animationen - USE CASE: Pfarreien schulen neue Ministranten strukturiert und einheitlich statt durch reine Einweisung vor Ort, Jugendliche bereiten sich eigenständig auf Prüfungen vor besonderen Diensten wie dem Thuriferar vor.\n\n16. **#316** — entwickle eine Predigtnotizen-App für Priester und Diakone - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Predigtentwurf-Editor verknüpft mit der Perikope des jeweiligen Sonntags, Lesejahr-automatische-Vorbelegung der Tageslesungen, Predigtarchiv durchsuchbar nach Sonntag und Thema über mehrere Jahre, Wiederverwendungs-Hinweis frühere Predigt zu identischer Perikope im Vorjahreslesezyklus, Zitat- und Anekdoten-Sammlung thematisch kategorisiert, Predigtlänge-Timer zur Übungs-Vorbereitung, Kirchenväter-Kommentar-Verknüpfung zur jeweiligen Schriftstelle, persönliche Feedback-Notizen nach gehaltener Predigt, Themen-Häufigkeits-Analyse über die eigene Predigt-Historie (D3.js Wortwolke), Vorbereitungs-Checkliste Exegese/Auslegung/Lebensbezug/Gebet, Export als Manuskript zum Ausdrucken für den Ambo, GSAP Entwurfs-Editor-Animationen - USE CASE: Priester bereiten Predigten systematisch mit Zugriff auf das eigene Archiv vergangener Jahre vor, Diakone in Ausbildung dokumentieren ihre Predigtentwicklung nachvollziehbar für die geistliche Begleitung.\n\n17. **#317** — programmiere einen Karwoche-und-Triduum-Planer für Pfarreien - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiger Ablaufplan Palmsonntag bis Ostervigil mit allen liturgischen Sonderelementen, Palmsonntags-Prozessions-Checkliste mit Passionslesung-Rollenverteilung, Gründonnerstag-Fußwaschung-Organisationstool mit Teilnehmerliste, Karfreitags-Kreuzverehrung-Ablaufplan mit den Großen Fürbitten vollständig, Ostervigil-Neun-Lesungen-Planer mit Kürzungs-Optionen je nach Pfarrpraxis, Osterkerzen-Weihe-Ablauf mit Text der Exsultet-Vorbereitung, Ministranten-und-Lektoren-Einsatzplan über alle Triduum-Tage hinweg, Kirchenschmuck-Checkliste Entblößung des Altars Gründonnerstag bis Auferstehungsschmuck, Zeitplan-Koordination bei mehreren Kirchen einer Pfarreiengemeinschaft, historische Erklärung der Bedeutung jedes Triduum-Tages, Erinnerungs-Funktion für alle Mitwirkenden, GSAP Tages-Übergangs-Animationen - USE CASE: Pfarrbüros koordinieren die aufwendige Liturgie der Kar- und Ostertage mit vielen Mitwirkenden fehlerfrei, neue Pfarrer oder Kapläne verschaffen sich schnell Überblick über bewährte lokale Abläufe des Triduums.\n\n18. **#318** — baue ein Perikopenordnung-Tool für die Lesejahre A B und C - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständige Sonntagslesungen-Datenbank für alle drei Lesejahre mit Evangelien-Schwerpunkt Matthäus/Markus/Lukas, Werktagslesejahr I und II parallel abrufbar, automatische Berechnung welches Lesejahr im aktuellen Kirchenjahr gilt, Perikopen-Suchfunktion nach Bibelstelle rückwärts zum Sonntag, thematische Verknüpfung zwischen den drei Lesungen eines Sonntags Altes-Testament-Psalm-Evangelium, Vorschau kommender Sonntage für die Predigtvorbereitung, Vergleichsansicht gleicher Sonntag über die drei Lesejahre, Häufigkeits-Statistik welche biblischen Bücher wie oft vorkommen (ApexCharts Balken), Notizfeld pro Perikope für persönliche Auslegungsgedanken, Export Leseplan als PDF für den Ambo, Eigenfeste-Sonderlesungen-Ergänzung, GSAP Lesejahr-Wechsel-Animationen - USE CASE: Lektoren und Priester bereiten sich mit korrekt zugeordneten Lesungen für das jeweils aktuelle Lesejahr vor, Bibelkreise verfolgen die thematische Linie der Sonntagslesungen über den Dreijahreszyklus hinweg.\n\n19. **#319** — erstelle ein Nachschlagewerk zum gregorianischen Messproprium - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Proprium-Datenbank Introitus/Graduale/Alleluja/Offertorium/Communio pro Sonntag im Kirchenjahr, lateinischer Original-Notentext-Platzhalter mit deutscher Übersetzung, Modus-Zuordnung der acht Kirchentöne pro Gesang, historische Herkunfts-Angabe ältester belegter Gebrauch des jeweiligen Gesangs, Audio-Vorlese-Mockup zur Aussprache-Übung, Vergleich Gregorianisches-Proprium versus deutschsprachiges-Wechselgesang-Alternative, Suchfunktion nach Kirchenjahreszeit oder Anfangswort des Introitus, Kantoren-Übungsmodus mit Wiederholungs-Timer, Zusammenstellung eines vollständigen Proprium-Sets für einen bestimmten Sonntag druckbar, thematische Verknüpfung zwischen Introitus-Text und Tagesevangelium, Neumen-Bild-Platzhalter zur Notation, GSAP Notenzeile-Einblend-Animationen - USE CASE: Kirchenchöre und Scholae bereiten das gregorianische Proprium für den jeweiligen Sonntag korrekt zugeordnet vor, Liturgiewissenschafts-Studierende erschließen sich die historische Gesangstradition der Messe systematisch.\n\n20. **#320** — entwickle ein Nachschlagewerk zu den Riten der Sakramentenspendung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ablaufschema aller sieben Sakramente mit korrekter liturgischer Reihenfolge Taufe/Firmung/Eucharistie/Beichte/Krankensalbung/Weihe/Ehe, vollständige Spendungsformeln im lateinischen Original mit deutscher Übersetzung, Materie-und-Form-Erklärung pro Sakrament nach scholastischer Sakramententheologie, Nottaufe-Kurzanleitung für Laien in Notfällen klar hervorgehoben, Trauungsritus-Varianten innerhalb und außerhalb der Messe, Krankensalbung-Ablauf mit den beiden Salbungsstellen Stirn und Hände, Diakon-versus-Priester-Kompetenzen-Übersicht je Sakrament, historische Entwicklung der Riten seit dem Zweiten Vatikanischen Konzil, Vorbereitungs-Checklisten für Spender vor jeder Sakramentenspendung, Glossar sakramententheologischer Fachbegriffe, Suchfunktion über alle Riten hinweg, GSAP Ritus-Ablauf-Animationen - USE CASE: Priester und Diakone bereiten Sakramentenspendungen mit korrekten Formeln und Abläufen zuverlässig vor, Theologiestudierende erschließen sich die sakramentale Praxis der Kirche strukturiert neben der theoretischen Sakramentenlehre.\n\n## Kategorie 3: BIBEL- & SCHRIFTSTUDIUM-TOOLS (10 Prompts)\n\n21. **#321** — erstelle ein Bibel-Konkordanz- und Parallelstellen-Tool - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Volltext-Konkordanz-Suche über alle Bücher mit Häufigkeits-Statistik pro Begriff (ApexCharts Balken), automatische Parallelstellen-Anzeige bei synoptischen Evangelien-Texten Matthäus-Markus-Lukas nebeneinander, thematische Stichwort-Cluster verwandte Begriffe wie Barmherzigkeit/Vergebung/Gnade, Zitat-Netz-Visualisierung Altes-Testament-Zitate im Neuen Testament (D3.js Graph), Buch-Kapitel-Vers-Sprung-Navigation direkt zur Stelle, Lesezeichen-Sammlung häufig genutzter Stellen, Vers-Vergleich innerhalb desselben Buches thematisch verwandte Abschnitte, Suchhistorie für wiederkehrende Recherchen, Exportfunktion gefundener Stellen als Zitatliste mit Quellenangabe, Häufigkeits-Heatmap welche Bücher am meisten zitiert werden (D3.js), Notizfeld pro gefundener Stelle, GSAP Treffer-Hervorhebungs-Animationen - USE CASE: Bibelkreisleiter bereiten thematische Studienabende mit belegten Parallelstellen fundiert vor, Prediger recherchieren schnell verwandte Schriftstellen zu einem Predigtthema ohne gedruckte Konkordanz.\n\n22. **#322** — entwickle ein Übersetzungsvergleichs-Tool für biblische Kernstellen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Side-by-Side-Vergleich Einheitsübersetzung/Lutherbibel/Vulgata/Septuaginta-Bezug pro ausgewähltem Vers, Wort-für-Wort-Unterschiede farbcodiert hervorgehoben, historische Übersetzungs-Entstehungs-Erklärung pro Version, Fußnoten-Anzeige textkritischer Varianten, Übersetzungs-Philosophie-Erklärung wörtlich versus sinngemäß je Version, häufig verglichene Streitstellen-Bibliothek zum Beispiel Jesaja 7,14, Lesehilfe für die lateinische Vulgata mit Aussprache-Hinweis, persönliche Vergleichsnotizen pro Vers speicherbar, Statistik welche Verse am häufigsten verglichen werden (ApexCharts Balken), Export Vergleichstabelle als PDF für Bibelkreise, Suchfunktion über alle hinterlegten Versionen gleichzeitig, GSAP Versionswechsel-Übergangs-Animationen - USE CASE: Bibelkreise vertiefen ihr Verständnis durch den direkten Textvergleich verschiedener Übersetzungstraditionen, Theologiestudierende bereiten sich mit dem Vulgata-Bezug gezielt auf Exegese-Seminare vor.\n\n23. **#323** — programmiere einen Bibel-Leseplan-Tracker Ein Jahr durch die Bibel - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorgefertigter 365-Tage-Leseplan chronologisch oder nach biblischer Buchreihenfolge wählbar, tägliches Abhaken mit Fortschrittsbalken über das Jahr (ApexCharts Kalender-Heatmap), Nachhol-Funktion bei verpassten Tagen mit angepasstem Resttempo, thematische Alternative-Pläne Altes-Testament-in-90-Tagen oder Nur-die-Evangelien, tägliche Kurz-Reflexion-Notizfeld zum Gelesenen, Lesezeit-Schätzung pro Tagesabschnitt, Streak-Anzeige aufeinanderfolgende Lesetage, Wochenrückblick gelesene Kapitel und Bücher, Erinnerungs-Benachrichtigung zur gewählten Lesezeit, Gemeinschafts-Lesevergleich-Mockup mit Pfarrgruppe gleicher Leseplan, Jahresabschluss-Zertifikat bei vollständigem Durchlauf, GSAP Fortschritts-Buch-Animationen - USE CASE: Gläubige lesen die gesamte Bibel strukturiert innerhalb eines Jahres statt das Vorhaben nach Wochen abzubrechen, Pfarreien bieten den Leseplan als gemeinsames Jahresprojekt für Bibelkreise an.\n\n24. **#324** — baue ein Exegese-Notizbuch für die persönliche Schriftstudie - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierter Notiz-Editor pro Perikope nach historisch-kritischer Methode Textkritik/Literarkritik/Formkritik/Auslegung, Verknüpfung mit Kommentarliteratur-Zitaten eigene Einträge, Ursprache-Notizfeld für griechische oder hebräische Schlüsselbegriffe, Kontext-Karte historischer und literarischer Zusammenhang der Stelle, Auslegungsgeschichte-Sektion wie die Stelle durch Kirchenväter und spätere Theologen verstanden wurde, Verknüpfung mehrerer Notizen zu thematischen Studienprojekten, Volltextsuche über alle eigenen Notizen, Exportfunktion einzelner Exegesen als strukturiertes Dokument, Lesezeichen-System für laufende Studienprojekte, Zeitaufwand-Tracking pro Studieneinheit, Quellenverzeichnis-Verwaltung genutzter Literatur, GSAP Notiz-Karten-Animationen - USE CASE: Theologiestudierende dokumentieren eigene Exegesen strukturiert für Seminararbeiten, ernsthafte Laien vertiefen ihr Schriftverständnis über einfaches Lesen hinaus mit einer nachvollziehbaren Methode.\n\n25. **#325** — erstelle einen geführten Lectio-Divina-Guide in vier Schritten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Führung durch die vier klassischen Schritte Lectio/Meditatio/Oratio/Contemplatio mit Zeittimer pro Phase, Tagesvers-Vorschlag oder freie Textwahl aus der Schrift, geführte Fragen pro Phase Was-steht-da/Was-bedeutet-es-für-mich/Wie-antworte-ich/Stille-Verweilen, Stille-Glocke zwischen den Phasen nach klösterlicher Tradition, persönliches Kontemplations-Tagebuch pro Sitzung, historische Einführung Ursprung in der benediktinischen Mönchstradition, Wiederholungs-Funktion denselben Text über mehrere Tage vertiefen, Fortschritts-Statistik regelmäßige Praxis (ApexCharts Kalender-Heatmap), Gruppen-Modus für gemeinsame Lectio-Divina-Abende mit geteilten Impulsen, Hintergrundgeräusch-Auswahl Stille oder sanfte Klangschale, Export der eigenen Einsichten als PDF, GSAP Phasen-Übergangs-Animationen mit sanftem Fade - USE CASE: Gläubige praktizieren die traditionelle betende Schriftlesung strukturiert statt unsicher wo sie beginnen sollen, Exerzitienhäuser und Gebetsgruppen nutzen den Guide als Vorlage für gemeinsame Lectio-Divina-Abende.\n\n26. **#326** — entwickle einen biblischen Zeitleisten-Visualizer von Abraham bis zu den Aposteln - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Interaktive Zeitleiste Patriarchenzeit/Königszeit/Exil/Zwischentestamentliche-Zeit/Neues-Testament (D3.js Timeline), Verknüpfung biblischer Ereignisse mit außerbiblischer Weltgeschichte zur Einordnung, Personen-Stammbaum-Ansicht Abraham-Isaak-Jakob und davidische Königslinie (D3.js Baum), Datierungs-Unsicherheiten transparent gekennzeichnet nach wissenschaftlichem Konsens, Klick-Navigation von Zeitleisten-Ereignis zur passenden Bibelstelle, thematische Filterung nur Propheten oder nur Könige anzeigen, Kartenverknüpfung geografischer Bezug zu Ereignissen, Zwischentestamentliche-Zeit-Erklärung Makkabäer und hellenistischer Einfluss, Paulusreisen-Zeitfenster innerhalb der Apostelgeschichte-Chronologie, Export Zeitleisten-Abschnitt als Bild für Unterricht, Suchfunktion nach Personen oder Ereignissen, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Katecheten vermitteln den historischen Gesamtzusammenhang der Heilsgeschichte anschaulich statt isolierter Einzelgeschichten, Bibelkreise verorten einzelne Bücher korrekt in der Abfolge der biblischen Geschichte.\n\n27. **#327** — programmiere eine interaktive Landkarte der Paulusreisen - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Karte mit allen drei Missionsreisen des Paulus plus der Gefangenentransport-Reise nach Rom, Routenverlauf mit Zwischenstationen Antiochia/Ephesus/Korinth/Philippi anklickbar, Verknüpfung jeder Station mit der zugehörigen Apostelgeschichte-Textstelle, historische Distanz- und Reisezeit-Schätzung pro Etappe, Landverkehr-versus-Seeweg-Kennzeichnung der Routenabschnitte, Gemeinde-Gründungs-Markierung an den jeweiligen Stationen mit Verweis auf zugehörige Paulusbriefe, Zeitachsen-Schieberegler zur Nachverfolgung der Chronologie, Gefahren-und-Widerstände-Anmerkungen laut biblischem Bericht, thematische Ebenen ein-und-ausblendbar Reise-1/2/3/Gefangenschaft, Export der Karte als Bild für den Religionsunterricht, Vergleichsansicht antike versus heutige Ortsnamen, GSAP Routenverlauf-Zeichenanimationen - USE CASE: Religionslehrer veranschaulichen die Missionsreisen des Paulus geografisch statt nur textlich, Bibelkreise verorten die Paulusbriefe konkret am jeweiligen Ort ihrer Entstehung oder Adressierung.\n\n28. **#328** — baue ein Urtext-Wortstudien-Tool mit Strong-Nummern-System - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Griechische und hebräische Schlüsselbegriffe mit zugehöriger Strong-Nummer nachschlagbar, Wortstamm-Erklärung und grammatikalische Form pro Beleg, alle Vorkommen desselben Urtext-Begriffs im gesamten Kanon aufgelistet, Bedeutungsnuancen-Vergleich griechischer Begriffe wie Agape/Philia/Eros mit deutschen Übersetzungs-Alternativen, Transliterations-Anzeige für Lesende ohne Griechisch- oder Hebräischkenntnisse, Aussprache-Mockup-Audio pro Begriff, thematische Wortfelder verwandte Begriffe gruppiert (D3.js Cluster), Vergleich wie ein Urtext-Begriff in verschiedenen deutschen Übersetzungen wiedergegeben wird, persönliche Wortstudien-Sammlung speicherbar, Suchfunktion nach Strong-Nummer oder deutschem Begriff, Häufigkeits-Statistik pro Begriff über die Bibel (ApexCharts Balken), GSAP Wortkarten-Einblend-Animationen - USE CASE: Theologiestudierende vertiefen ihr Verständnis biblischer Kernbegriffe über die deutsche Übersetzung hinaus, Prediger untermauern Predigtaussagen mit fundierten Wortstudien zum griechischen oder hebräischen Original.\n\n29. **#329** — erstelle ein Psalmen-Gebetsbuch mit Tageszuordnung nach dem Stundengebet-Psalter - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Alle 150 Psalmen mit Zuordnung zum jeweiligen Wochentag des Vier-Wochen-Psalters, Psalmengattungen-Kennzeichnung Klage/Lob/Danklied/Königspsalm mit Kurzerläuterung, Antiphonen-Vorschläge passend zur Kirchenjahreszeit pro Psalm, persönliches Lieblingspsalmen-Lesezeichen, Kontext-Erklärung historischer Entstehungshintergrund pro Psalm soweit bekannt, Vertonungs-Hinweis bekannte gregorianische oder mehrstimmige Vertonungen, Suchfunktion nach Thema Trost/Vertrauen/Bitte/Dank, tägliche Psalmen-Empfehlung passend zur persönlichen Lebenssituation, Vers-für-Vers-Meditations-Modus mit Pausenzeiten, Lesefortschritt durch alle 150 Psalmen (ApexCharts Kalender-Heatmap), Export einzelner Psalmen als Gebetskarte, GSAP Psalmvers-Einblend-Animationen - USE CASE: Gläubige beten die Psalmen strukturiert im Rhythmus des kirchlichen Stundengebets, Seelsorger empfehlen passende Psalmen gezielt nach der jeweiligen Lebenssituation eines Ratsuchenden.\n\n30. **#330** — entwickle einen Bibelvers-Memorierungs-Trainer mit Spaced Repetition - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vers-Bibliothek nach Themen geordnet Trost/Glaube/Liebe/Weisheit mit vorgeschlagenen Kernversen, Spaced-Repetition-Algorithmus für optimale Wiederholungsintervalle, Lückentext-Übungsmodus zunehmend schwieriger werdend, Referenz-Zuordnungs-Übung Vers zu korrekter Bibelstelle zuordnen, tägliches Wiederholungs-Pensum mit Fortschrittsanzeige (ApexCharts Radial), eigene Verse zur persönlichen Sammlung hinzufügen, Memorier-Streak-Tracker aufeinanderfolgende Übungstage, Audio-Vorlese-Mockup zur Aussprache-Unterstützung, Gruppen-Wettbewerb-Mockup für Konfirmanden- oder Firmgruppen, Zertifikat bei abgeschlossenem Themenblock, Karteikarten-Ansicht mit Umdreh-Animation, GSAP Karten-Flip-Animationen - USE CASE: Konfirmanden und Erstkommunionkinder lernen zentrale Bibelverse nachhaltig statt nur kurzfristig für den Unterricht, Gläubige bauen sich über Jahre einen soliden Schatz auswendig gelernter Schriftworte für die persönliche Andacht auf.\n\n## Kategorie 4: INTERRELIGIÖSER VERGLEICH & DIALOG (10 Prompts)\n\n31. **#331** — erstelle ein Vergleichsanalyse-Tool zu gemeinsamen Erzählungen in Koran und Bibel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Thematische Gegenüberstellung gemeinsamer Gestalten Abraham/Ibrahim, Maria/Maryam, Jesus/Isa mit jeweiligem Quellentext nebeneinander, respektvolle Einordnung der jeweils eigenen theologischen Bedeutung ohne Wertung einer Tradition über die andere, Unterschiede-und-Gemeinsamkeiten-Matrix pro Erzählung sachlich dargestellt, historischer Kontext der Textentstehung beider Traditionen, Glossar arabischer und hebräischer Fachbegriffe mit Aussprache, Quellenangaben zu anerkannten islamischen und christlichen Kommentaren, Suchfunktion nach gemeinsamen Themen Schöpfung/Sintflut/Jüngstes-Gericht, Lernpfad für interessierte Laien beider Traditionen, Experten-Zitate-Sammlung aus offiziellen Dialogdokumenten, Feedback-Formular für theologische Korrekturhinweise, GSAP Text-Gegenüberstellungs-Animationen - USE CASE: Religionslehrer bereiten respektvollen interreligiösen Unterricht mit belegten Textvergleichen vor, am Dialog Interessierte beider Traditionen verstehen die eigene und die andere Glaubensüberlieferung fundierter statt oberflächlicher Klischees.\n\n32. **#332** — entwickle einen Studienbegleiter zur Konzilserklärung Nostra Aetate - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vollständiger Text der Erklärung von 1965 mit Absatz-für-Absatz-Kommentierung, historischer Entstehungskontext Zweites Vatikanisches Konzil und dessen Bedeutung, Kernaussagen-Zusammenfassung pro Religion Judentum/Islam/Hinduismus/Buddhismus, Rezeptionsgeschichte wie sich das christlich-jüdische Verhältnis seither entwickelt hat, Zeitleiste bedeutender interreligiöser Meilensteine nach 1965 (D3.js Timeline), Diskussionsfragen-Katalog für Studiengruppen, Vergleich zu vorkonziliaren Positionen zur Einordnung der Neuerung, Verknüpfung zu Folgedokumenten der Päpste zum interreligiösen Dialog, Zitat-Sammlung zentraler Sätze mit Quellenangabe, persönliches Studien-Tagebuch pro Kapitel, Quiz zum Textverständnis, GSAP Abschnitts-Einblend-Animationen - USE CASE: Theologiestudierende erarbeiten sich die Bedeutung von Nostra Aetate für das heutige interreligiöse Klima fundiert, Pfarrgemeinderäte bereiten Gesprächsabende zum jüdisch-christlichen Verhältnis auf Basis des offiziellen Konzilstextes vor.\n\n33. **#333** — programmiere ein Weltreligionen-Vergleichs-Dashboard - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Vergleich der fünf großen Weltreligionen Christentum/Islam/Judentum/Hinduismus/Buddhismus nach einheitlichen Kategorien Gottesbild/Heilige-Schriften/Zentrale-Praxis/Ethik, neutrale sachliche Darstellungsweise ohne Wertung einer Tradition als überlegen, interaktive Matrix-Ansicht zum gezielten Zweiervergleich, Zeitleiste Entstehungszeitpunkt jeder Religion (D3.js Timeline), geografische Verbreitungs-Übersicht heute, Gemeinsamkeiten-Sektion goldene Regel und Nächstenliebe-Prinzip über alle Traditionen hinweg, Feiertage-Kalender-Vergleich der wichtigsten Feste je Religion, Glossar religionsspezifischer Fachbegriffe, Quellenverzeichnis anerkannter religionswissenschaftlicher Literatur pro Abschnitt, Lernpfad für Schule und Erwachsenenbildung, Feedback-Kanal für fachliche Korrekturen, GSAP Kategorie-Wechsel-Animationen - USE CASE: Religionslehrer vermitteln einen fundierten und respektvollen Überblick über die Weltreligionen im Unterricht, Teilnehmer an interreligiösen Dialogveranstaltungen bereiten sich mit belastbarem Grundwissen über die jeweils andere Tradition vor.\n\n34. **#334** — baue ein Vorbereitungs-Tool für interreligiöse Dialogtreffen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themen-Checkliste für ein anstehendes Dialogtreffen mit Vorschlägen zu respektvoller Gesprächsführung, Hintergrundwissen-Kompaktprofile der beteiligten Traditionen zur Vorbereitung, Häufige-Missverständnisse-Warnliste die im Dialog leicht zu Verletzungen führen können, Gesprächsleitfaden-Vorlagen für strukturierte Themenblöcke, Teilnehmer-Vorstellungsrunden-Vorlage mit Fragen zur eigenen Glaubenspraxis, Nachbereitungs-Protokoll-Vorlage für gemeinsame Erkenntnisse, Ressourcen-Bibliothek offizieller Dialogdokumente beider beteiligter Traditionen, Zeitplan-Baukasten für den Ablauf des Treffens, Konfliktvermeidungs-Hinweise bei sensiblen Themen, Feedback-Formular nach dem Treffen für die Teilnehmenden, Terminplanungs-Kalender für Folgetreffen, GSAP Ablauf-Checklisten-Animationen - USE CASE: Pfarreien und Moscheegemeinden bereiten gemeinsame Dialogabende strukturiert und respektvoll vor, Organisatoren interreligiöser Wochen vermeiden durch die Checklisten häufige Fettnäpfchen im Erstkontakt zwischen den Traditionen.\n\n35. **#335** — erstelle einen Gemeinsame-Werte-Finder über religiöse Traditionen hinweg - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Werte-Datenbank Nächstenliebe/Gastfreundschaft/Barmherzigkeit/Gerechtigkeit mit Belegstellen aus mehreren heiligen Schriften parallel, Goldene-Regel-Vergleich wortgetreu aus Bibel, Koran, Tora, buddhistischen und hinduistischen Schriften, Filterfunktion nach Wert oder nach Tradition, Kontext-Erklärung wie derselbe Wert innerhalb jeder Tradition praktisch gelebt wird, Übereinstimmungs-Visualisierung wie viele Traditionen einen bestimmten Wert teilen (D3.js Venn-artige Darstellung), Diskussionsimpulse für gemeinsame Sozialprojekte auf Basis geteilter Werte, Zitat-Sammlung religiöser Führungspersönlichkeiten zum interreligiösen Miteinander, Bildungsmaterial-Export für Schulklassen, Suchfunktion nach Stichwort über alle hinterlegten Traditionen, persönliche Reflexionsnotizen, GSAP Werte-Karten-Verbindungs-Animationen - USE CASE: Schulen und Jugendgruppen entdecken gemeinsam die ethischen Schnittmengen zwischen den Religionen ihrer Mitschüler, Sozialinitiativen mit interreligiöser Trägerschaft begründen ihre Zusammenarbeit mit den tatsächlichen gemeinsamen Grundlagen der beteiligten Traditionen.\n\n36. **#336** — entwickle eine Struktur-App für respektvolle Debatten über Glaubensfragen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Moderierter Gesprächsablauf mit festen Redezeiten und Rederunden pro Standpunkt, Regelwerk-Anzeige respektvolle Sprache und Verbot persönlicher Angriffe prominent eingeblendet, Themen-Vorschlags-Katalog kontroverser aber konstruktiv diskutierbarer Glaubensfragen, Standpunkt-Zusammenfassungs-Tool am Ende jeder Runde durch neutrale Formulierung, Zuhör-Bestätigungs-Funktion Teilnehmer bestätigt den anderen Standpunkt korrekt verstanden zu haben bevor er antwortet, Eskalations-Warnsystem bei zunehmend gereizter Wortwahl-Mockup, Protokoll-Export der geführten Debatte für Nachbereitung, Perspektivwechsel-Übung Teilnehmer formuliert kurz den gegnerischen Standpunkt, Fazit-Sektion gemeinsame Erkenntnisse statt Gewinner-Verlierer-Logik, Moderatoren-Leitfaden für Veranstalter, Bewertungs-Formular Gesprächsqualität statt Meinungssieg, GSAP Redezeit-Timer-Animationen - USE CASE: Universitätsgruppen und Gemeindekreise führen kontroverse Glaubensgespräche strukturiert ohne dass sie in gegenseitige Verletzung münden, Moderatoren interreligiöser Podien nutzen die Struktur als bewährten roten Faden.\n\n37. **#337** — programmiere einen Stammbaum-Explorer der abrahamitischen Religionen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gemeinsamer Stammbaum ausgehend von Abraham über Isaak und Ismael verzweigend zu Judentum-Christentum und Islam (D3.js Baumdiagramm), Klick-Erläuterung zu jeder Figur mit Bezug in allen drei Traditionen, theologische Bedeutungs-Unterschiede derselben Gestalt klar gekennzeichnet ohne eine Deutung als richtig oder falsch zu werten, Zeitleiste der drei Offenbarungstraditionen im historischen Verlauf, gemeinsame heilige Orte-Sektion Jerusalem und Hebron mit Bedeutung für alle drei Religionen, Glaubensbekenntnis-Kurzvergleich der drei Traditionen, Suchfunktion nach Personen des Stammbaums, Bildungsmaterial-Export für interreligiösen Unterricht, Quellenangaben zu Tora, Bibel und Koran pro Station, Diskussionsfragen zur gemeinsamen Wurzel bei unterschiedlicher Entfaltung, Feedback-Kanal für theologische Genauigkeit, GSAP Stammbaum-Verzweigungs-Animationen - USE CASE: Religionslehrer verdeutlichen Schülern die gemeinsame Wurzel der drei monotheistischen Weltreligionen visuell nachvollziehbar, interreligiöse Bildungshäuser nutzen den Explorer als Einstieg in vertiefende Dialogformate.\n\n38. **#338** — baue ein Studientool zum christlich-jüdischen Verhältnis nach Nostra Aetate - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historischer Überblick der Beziehungsentwicklung von den ersten Jahrhunderten bis zur Gegenwart mit besonderem Fokus auf die Zeit nach 1965, gemeinsame Schriftgrundlage-Sektion Altes Testament als Tanach in beiden Traditionen mit unterschiedlicher Auslegungstradition, Zeitleiste bedeutender Gesten der Annäherung Papstbesuche in Synagogen und deren Bedeutung, Glossar zentraler Begriffe des jüdisch-christlichen Dialogs, Zitat-Sammlung offizieller kirchlicher Dokumente zum Verhältnis zum Judentum, Diskussion der besonderen Erwählung Israels aus katholischer Sicht nach dem Konzil, Vergleich jüdischer und christlicher Feste mit gemeinsamen Wurzeln Pessach und Ostern, Lernpfad für Pfarrgemeinderäte zur Vorbereitung von Gedenktagen, Ressourcen zur Woche der Brüderlichkeit, persönliches Studien-Tagebuch, Quiz zum Textverständnis der behandelten Dokumente, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Pfarrgemeinderäte bereiten Gedenkveranstaltungen zum christlich-jüdischen Dialog theologisch fundiert vor, Studierende der Theologie vertiefen ihr Verständnis der offiziellen kirchlichen Position zum Judentum nach dem Konzil.\n\n39. **#339** — erstelle einen Kalender interreligiöser Gebetstage für den Frieden - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Historische Dokumentation der Assisi-Gebetstreffen seit 1986 mit den beteiligten Religionsvertretern, Jahreskalender bedeutender interreligiöser Gedenk- und Gebetstage weltweit, Hintergrund-Erklärung zu jedem Treffen und dessen Bedeutung für den interreligiösen Dialog, Zitat-Sammlung der Schlussbotschaften vergangener Treffen, Weltgebetstag-Sektion mit Beteiligung verschiedener christlicher Konfessionen, lokale Veranstaltungs-Vorschläge für eigene interreligiöse Gebetsinitiativen, Teilnahme-Tracker eigene Teilnahme an solchen Veranstaltungen dokumentieren, Themen-Übersicht wofür in den jeweiligen Jahren gebetet wurde Frieden im Nahen Osten und andere Anliegen, Erinnerungs-Funktion für kommende Gedenktage, Bildergalerie-Platzhalter historischer Momente, Diskussionsfragen für Gemeindegruppen zur Bedeutung gemeinsamen Betens bei unterschiedlichem Gottesbild, GSAP Kalenderblatt-Animationen - USE CASE: Pfarreien und interreligiöse Initiativen orientieren sich an der Geschichte der Assisi-Treffen für eigene lokale Friedensgebete, Religionslehrer nutzen die dokumentierte Geschichte als Beispiel gelebten interreligiösen Miteinanders im Unterricht.\n\n40. **#340** — entwickle ein vergleichendes Studientool zur Eschatologie der Weltreligionen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sachlicher Vergleich der Jenseitsvorstellungen Christentum-Auferstehung-des-Fleisches, Islam-Jüngstes-Gericht, jüdische Vorstellungen von Olam-ha-Ba, buddhistisches Nirvana, hinduistischer Kreislauf von Samsara und Moksha, Quellentexte-Zitate pro Tradition mit Originalbeleg, historische Entwicklung eschatologischer Vorstellungen innerhalb jeder Tradition über Jahrhunderte, Glossar eschatologischer Fachbegriffe aller behandelten Traditionen, Gemeinsamkeiten-Sektion Gerechtigkeit-nach-dem-Tod als verbindendes Element trotz unterschiedlicher Ausgestaltung, akademischer Tonfall mit Verweis auf religionswissenschaftliche Standardliteratur, Diskussionsfragen für ein Seminar zur vergleichenden Religionswissenschaft, Zeitleisten-Darstellung der Lehrentwicklung pro Tradition (D3.js), persönliche Notizen zur eigenen Auseinandersetzung mit den Vergleichen, Export als Seminararbeit-Grundlage, GSAP Konzept-Vergleichs-Animationen - USE CASE: Studierende der vergleichenden Religionswissenschaft erarbeiten sich einen fundierten Überblick über eschatologische Vorstellungen verschiedener Traditionen, Religionslehrer vermitteln den respektvollen akademischen Vergleich als Alternative zu vorschnellen Werturteilen über fremde Jenseitsvorstellungen.\n\n## Kategorie 5: KATHOLISCHE KI-ASSISTENTEN — SICHER GEBAUT (10 Prompts)\n\n41. **#341** — erstelle einen Katechismus-Chatbot mit serverseitigem Proxy - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Konversationelles Frage-Antwort-Interface zum Katechismus der Katholischen Kirche mit Quellenverweis auf die jeweilige CCC-Randnummer, Themen-Schnellzugriff Glaubensbekenntnis/Sakramente/Leben-in-Christus/Gebet als vier Säulen, Streaming-Antworten mit Typewriter-Effekt, Konversations-Historie lokal gespeichert, Verwandte-Fragen-Vorschläge nach jeder Antwort, Zitier-Funktion Antwort mit CCC-Randnummer kopieren, Mehrsprachigkeits-Umschaltung, Feedback-Button war die Antwort theologisch korrekt und hilfreich, Eskalations-Hinweis bei komplexen moraltheologischen Fragen Verweis an einen Priester, Rate-Limit-Anzeige serverseitig verwalteter Anfragen, GSAP Chat-Bubble-Animationen - USE CASE: Katecheten nutzen den Chatbot zur schnellen Vorbereitung von Unterrichtseinheiten mit belegten Quellenangaben, Erwachsene in der Glaubensbildung stellen Fragen zum Katechismus in eigenen Worten statt im gedruckten Werk zu blättern. WICHTIG: alle Sprachmodell-Aufrufe laufen ausschließlich über einen serverseitigen Proxy-Endpunkt, niemals wird ein API-Key im Client-Code hinterlegt — dies behebt direkt den im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts mit hartcodiertem OpenAI-Key, so wie es kathsafe6 bereits korrekt über eine Proxy-Architektur löst.\n\n42. **#342** — entwickle einen Beichtvorbereitungs-Assistenten mit sicherer KI-Anbindung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Geführtes Gespräch zur Gewissenserforschung anhand der Zehn Gebote mit KI-gestützten vertiefenden Rückfragen, vollständige Vertraulichkeits-Erklärung alle Eingaben verlassen nur verschlüsselt den Server ohne dauerhafte Speicherung sensibler Inhalte, Themenblock-Auswahl nach Lebensbereichen Familie/Beruf/Ehrlichkeit/Keuschheit, Formulierungshilfe für die eigentliche Beichte am Ende des Gesprächs, historische Erklärung zum Bußsakrament eingebettet, Reue-Akt-Text in mehreren Fassungen zur Auswahl, Erinnerungs-Funktion für regelmäßige Beichte, keine Speicherung sensibler Beichtinhalte auf dem Server ausdrücklich dokumentiert, Abbruch-Funktion jederzeit ohne Datenspur, Feedback nach der Nutzung zur Verbesserung der Fragestellungen, GSAP sanfte Übergangs-Animationen ruhige Farbgestaltung - USE CASE: Gläubige bereiten sich vor einem selten gewordenen Beichtgang strukturiert und ohne Scham vor einem Menschen vor, Priester empfehlen die App Beichtkindern als Vorbereitungshilfe außerhalb des Beichtstuhls. WICHTIG: der KI-Zugriff erfolgt zwingend über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt als Lehre aus dem kathbot31/kathbottts-Sicherheitsfund im eigenen Archiv gezogen und wie bei kathsafe6 sauber umgesetzt.\n\n43. **#343** — programmiere einen Heiliger-des-Tages-Erklärbot mit Proxy-Architektur - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle Heiligen-Anzeige nach dem römischen Generalkalender mit KI-generierter vertiefender Erklärung zu Leben und Bedeutung, Nachfrage-Funktion im Chat weitere Details zu Wunder/Patronaten/Reliquien zu erfragen, Quellenangaben zu anerkannten Hagiographien in den Antworten, Patron-Suchfunktion welcher Heilige für welches Anliegen zuständig ist, historische Einordnung des Heiligen in seine Zeit, Bildergalerie-Platzhalter zu bekannten Darstellungen, Merktag-Funktion eigenen Namenspatron favorisieren mit Erinnerung, Vergleichs-Chat mehrere Heilige desselben Tages gegenüberstellen, Kinderfreundlicher-Erklärmodus vereinfachte Sprache umschaltbar, Feedback-Sternebewertung pro Erklärung, GSAP Heiligen-Karten-Einblend-Animationen - USE CASE: Familien erfahren beim Frühstück kindgerecht mehr über den Tagesheiligen und dessen Patronate, Katecheten nutzen den Bot zur schnellen Recherche für Namenstagsfeiern in der Gemeinde. WICHTIG: sämtliche KI-Anfragen laufen über einen serverseitigen Proxy-Endpunkt, ein API-Key wird niemals im Browser sichtbar — die direkte Konsequenz aus dem dokumentierten kathbot31/kathbottts-Fund, korrekt gelöst wie bereits bei kathsafe6.\n\n44. **#344** — baue einen theologischen Frage-Antwort-Bot zu moraltheologischen Themen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface für Fragen zur katholischen Moraltheologie mit differenzierten, quellenbelegten Antworten, klare Kennzeichnung wann eine Frage über die KI-Kompetenz hinausgeht und ein persönliches Seelsorgegespräch empfohlen wird, Themenkategorien Sozialethik/Bioethik/Sexualmoral/Wirtschaftsethik strukturiert, Zitierfunktion mit Verweis auf Katechismus und lehramtliche Dokumente, Kontroversen-Kennzeichnung wo innerkirchlich unterschiedliche Auslegungstraditionen bestehen, Verwandte-Themen-Vorschläge nach jeder Antwort, Konversations-Historie durchsuchbar, Nutzungshinweis die App ersetzt kein persönliches Gespräch mit einem Priester prominent sichtbar, Feedback-Mechanismus bei fachlich fragwürdigen Antworten, Mehrsprachigkeit optional, GSAP Antwort-Streaming-Animationen - USE CASE: Studierende der Moraltheologie nutzen den Bot zur ersten Orientierung vor der Lektüre von Primärquellen, interessierte Laien erhalten differenzierte statt vereinfachte Antworten auf komplexe ethische Fragen. WICHTIG: der Bot ruft das Sprachmodell ausschließlich über einen serverseitigen Proxy auf, ein clientseitiger API-Key ist ausdrücklich verboten — dies ist die direkte, dokumentierte Lehre aus dem kathbot31/kathbottts-Sicherheitsfund, umgesetzt nach dem Vorbild von kathsafe6.\n\n45. **#345** — erstelle einen Bibelstellen-Erklärungs-Assistenten mit Proxy-gesicherter KI - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe einer Bibelstelle mit KI-generierter Auslegung unter Einbezug patristischer Kommentare, Kontext-Erklärung historischer und literarischer Hintergrund der Stelle, Verweis-Funktion zu verwandten Stellen im Kanon, mehrere Auslegungstraditionen nebeneinander wörtlich/allegorisch/moralisch/anagogisch nach dem vierfachen Schriftsinn, Kirchenväter-Zitat-Einbindung Augustinus/Hieronymus/Chrysostomus zur jeweiligen Stelle, Nachfrage-Chat für vertiefende Fragen zur Auslegung, Quellenangaben transparent nachvollziehbar, Lesezeichen-Sammlung erklärter Stellen, Export der Erklärung als Studienunterlage, Feedback-Mechanismus bei theologischen Unstimmigkeiten, GSAP Erklärungs-Einblend-Animationen - USE CASE: Bibelkreisleiter bereiten Auslegungen mit Rückgriff auf die klassische vierfache Schriftauslegung vor, ernsthafte Laien vertiefen ihr Verständnis schwieriger Bibelstellen über oberflächliche Lesarten hinaus. WICHTIG: alle Anfragen an das Sprachmodell laufen über einen serverseitigen Proxy, niemals über einen im Frontend sichtbaren API-Key — konsequente Umsetzung der Lehre aus dem kathbot31/kathbottts-Fund, wie bereits bei kathsafe6 vorgemacht.\n\n46. **#346** — entwickle einen KI-Gebetsvorschlags-Assistenten für persönliche Lebenslagen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Eingabe der eigenen Lebenssituation Trauer/Freude/Angst/Dankbarkeit mit KI-Vorschlag passender traditioneller Gebete statt KI-generierter Ersatzgebete, Bibliothek klassischer Gebete als bevorzugte Antwortquelle vor freier KI-Formulierung, transparente Kennzeichnung ob ein Gebetstext traditionell überliefert oder KI-unterstützt zusammengestellt wurde, Verweis auf passende Psalmen zur jeweiligen Stimmungslage, persönliche Gebets-Historie welche Vorschläge genutzt wurden, Feedback-Funktion ob der Vorschlag als hilfreich empfunden wurde, Fürsprecher-Empfehlung passender Heiliger je nach Anliegen, Erinnerungs-Funktion für wiederkehrende Anliegen, Mehrsprachigkeit für Gebetstexte, Offline-Fallback mit vorinstallierter Gebetsbibliothek ohne KI-Anbindung, GSAP sanfte Einblend-Animationen - USE CASE: Menschen in seelischer Not finden rasch ein passendes traditionelles Gebet statt einer unpersönlichen Standardantwort, Seelsorger empfehlen die App als niedrigschwelligen ersten Zugang zum Gebetsschatz der Kirche. WICHTIG: die KI-Komponente läuft ausschließlich über einen serverseitigen Proxy ohne jeglichen API-Key im Client, in direkter Konsequenz aus dem kathbot31/kathbottts-Fund und nach dem sicheren Vorbild von kathsafe6.\n\n47. **#347** — programmiere einen Apologetik-Trainings-Chatbot zum Einwände-Üben - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Simulierte Gesprächspartner-Rolle die typische Einwände gegen den katholischen Glauben vorbringt zum Übungszwecke, Schwierigkeitsgrade von häufigen Alltagsfragen bis zu anspruchsvollen philosophischen Einwänden, Feedback zur eigenen Antwort mit Verweis auf fundierte apologetische Argumentationslinien, Themenbibliothek Gottesbeweise/Theodizee/historische-Jesus-Frage/Kirchengeschichte-Kritik, Punktesystem für überzeugend formulierte Antworten als Lernanreiz, Nachbesprechungs-Modus bessere Formulierung nach eigenem Versuch vorgeschlagen, respektvoller Ton auch bei scharfen Einwänden ausdrücklich vorgegeben, Fortschritts-Tracking geübte Themenbereiche (ApexCharts Radial), Quellen-Verweis zu anerkannter apologetischer Literatur nach jeder Übung, Export eigener Übungsantworten zur Wiederholung, GSAP Dialog-Wechsel-Animationen - USE CASE: Ehrenamtliche in der Glaubensvermittlung üben souveräne Antworten auf kritische Nachfragen vor echten Gesprächen, Religionslehrer bereiten Oberstufenschüler auf kontroverse Diskussionen über den Glauben vor. WICHTIG: der simulierte Gesprächspartner läuft technisch über einen serverseitigen Proxy zum Sprachmodell, ein API-Key im Frontend ist ausgeschlossen — genau die Lehre aus dem dokumentierten kathbot31/kathbottts-Fund, sicher umgesetzt wie bei kathsafe6.\n\n48. **#348** — baue einen Kirchenrecht-Frage-Bot zum Codex Iuris Canonici - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface zu Fragen des kirchlichen Rechts mit Verweis auf die jeweils einschlägigen Canones, Themenbereiche Ehe-und-Eherecht/Sakramentenrecht/Kirchliches-Strafrecht/Verfahrensrecht strukturiert, klare Kennzeichnung wann eine Frage anwaltliche beziehungsweise offizielle bischöfliche Klärung erfordert, Zitierfunktion mit korrekter Canon-Nummerierung, Verwandte-Canones-Vorschläge nach jeder Antwort, Fallbeispiel-Bibliothek anonymisierter typischer Anfragen zur Veranschaulichung, Glossar kirchenrechtlicher Fachbegriffe, Konversations-Export für die eigene Weiterbearbeitung mit einem Kirchenrechtler, Feedback-Mechanismus bei fachlichen Unstimmigkeiten, Mehrsprachigkeit für lateinische Fachtermini mit Übersetzung, GSAP Antwort-Streaming-Animationen - USE CASE: Pfarrsekretäre erhalten eine erste Orientierung zu kirchenrechtlichen Standardfragen etwa im Eheprozess, Kirchenrecht-Studierende nutzen den Bot zur Vertiefung mit korrekten Canon-Verweisen. WICHTIG: alle Sprachmodell-Aufrufe erfolgen über einen serverseitigen Proxy, niemals über einen im Client hinterlegten API-Key — die direkte technische Lehre aus dem kathbot31/kathbottts-Fund, sauber gelöst analog zu kathsafe6.\n\n49. **#349** — erstelle einen Familiengebets-KI-Assistenten zur gemeinsamen Andachtsplanung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: KI-gestützte Vorschläge für altersgerechte Familienandachten je nach Kinderalter und Kirchenjahreszeit, Themenbibliothek Adventskranz-Andacht/Tischgebet-Varianten/Abendgebet-für-Kinder als bevorzugte Quelle vor freier KI-Formulierung, Interaktive Erstellung eines individuellen Wochenplans für Familiengebet, Verweis auf altersgerechte Bibelgeschichten passend zum jeweiligen Sonntag, Feedback-Funktion der Kinder wie das Gebet ankam als Emoji-Bewertung, Erinnerungs-Funktion für die vereinbarte Gebetszeit, Vorlagen-Bibliothek für besondere Anlässe Geburtstag/Krankheit/Trauerfall in der Familie, Mehrsprachigkeits-Option für binationale Familien, Offline-Vorlagen-Fallback ohne KI-Anbindung verfügbar, Transparenz-Hinweis welche Inhalte KI-unterstützt und welche traditionell überliefert sind, GSAP kindgerechte verspielte Animationen - USE CASE: Familien gestalten das gemeinsame Gebet abwechslungsreich altersgerecht statt immer dieselbe Formel zu wiederholen, Pfarreien empfehlen die App jungen Familien zur Stärkung der häuslichen Glaubenspraxis. WICHTIG: die KI-Funktion läuft ausschließlich über einen serverseitigen Proxy, ein API-Key wird nie im Browser gespeichert — konsequent umgesetzt nach der Lehre aus dem kathbot31/kathbottts-Fund und dem sicheren Muster von kathsafe6.\n\n50. **#350** — entwickle einen RCIA-Vorbereitungs-Chatbot für Taufbewerber - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Konversationelles Interface für Fragen von Katechumenen und Taufbewerbern zu Glaubensinhalten und dem Ablauf der Eingliederung, strukturierte Begleitung entlang der klassischen RCIA-Phasen Anfrage/Katechumenat/Erleuchtung/Mystagogie, persönlicher Fragen-Verlauf während der gesamten Vorbereitungszeit, Verweis auf passende Katechismus-Abschnitte zu gestellten Fragen, Terminübersicht der Riten während des Katechumenats Aufnahme/Skrutinien/Osternacht-Taufe, Austauschmöglichkeit mit dem eigenen Paten-Kontakt außerhalb der KI, Fortschritts-Tracking durch die Vorbereitungsphasen (ApexCharts Stepper), Feedback-Mechanismus bei unklaren oder fachlich fragwürdigen Antworten, klare Kennzeichnung dass die App die persönliche Begleitung durch Priester und Katecheten ergänzt statt ersetzt, GSAP Phasen-Fortschritts-Animationen - USE CASE: Erwachsene auf dem Weg zur Taufe oder vollen Aufnahme in die Kirche klären Verständnisfragen niedrigschwellig zwischen den Katechumenats-Treffen, Gemeindekatecheten entlasten die persönliche Begleitung durch eine gut dokumentierte KI-Ergänzung. WICHTIG: sämtliche KI-Aufrufe laufen über einen serverseitigen Proxy ohne clientseitigen API-Key, exakt die Konsequenz aus dem im eigenen Bestand dokumentierten kathbot31/kathbottts-Sicherheitsfund, so wie es kathsafe6 bereits vorbildlich löst.\n\n## Kategorie 6: HEILIGEN- & KIRCHENGESCHICHTE (10 Prompts)\n\n51. **#351** — erstelle einen Heiligen-Biografie-Explorer mit Patronats-Suche - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbare Heiligen-Datenbank mit Lebensdaten/Herkunft/Ordenszugehörigkeit, Patronats-Suchfunktion welcher Heilige für welchen Berufsstand oder welches Anliegen zuständig ist, Zeitepochen-Filter Urkirche/Mittelalter/Neuzeit/Moderne, Kanonisierungsprozess-Erklärung Seligsprechung versus Heiligsprechung mit Ablaufschema, Wunder-Dokumentation soweit offiziell anerkannt mit Quellenangabe, Ikonografie-Erklärung typische Attribute in der Kunstdarstellung, Verwandte-Heilige-Vorschläge gleicher Orden oder gleiches Jahrhundert, Namenstag-Kalender-Verknüpfung, Zitat-Sammlung überlieferter Aussprüche, Favoriten-Liste eigener Namenspatrone und Fürsprecher, Export Heiligen-Steckbrief als PDF, GSAP Biografie-Karten-Animationen - USE CASE: Gläubige finden gezielt einen passenden Fürsprecher für ein bestimmtes Lebensanliegen, Katecheten bereiten Namenstagsfeiern mit fundiertem biografischem Hintergrundwissen vor.\n\n52. **#352** — entwickle eine Kirchengeschichte-Zeitleiste von der Urkirche bis heute - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Interaktive Zeitleiste über zwei Jahrtausende mit Epochen-Einteilung Verfolgungszeit/Konstantinische-Wende/Mittelalter/Reformation/Moderne (D3.js Timeline), Klick-Vertiefung zu Schlüsselereignissen mit Quellenangabe, Konzilien-Markierungen entlang der Zeitleiste mit direkter Verlinkung, Päpste-Zuordnung welcher Papst zu welcher Epoche amtierte, Schisma-und-Einheits-Ereignisse Ost-West-Schisma-1054 und Reformation-1517 mit historischer Einordnung, Missions-Ausbreitungs-Karten-Verweis pro Epoche, Ordensgründungen entlang der Zeitleiste markiert, Verfolgungs-und-Martyrium-Perioden mit Zahlen soweit historisch belegt, Filterfunktion nach Region oder Themenschwerpunkt, Export einzelner Epochen als Unterrichtsmaterial, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Religionslehrer vermitteln die zweitausendjährige Kirchengeschichte anschaulich im Gesamtzusammenhang statt in isolierten Einzelstunden, Geschichtsinteressierte Laien verschaffen sich einen fundierten chronologischen Überblick.\n\n53. **#353** — programmiere einen Martyrologium-Kalender mit Tagesgedenken - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tagesaktuelle Anzeige der im römischen Martyrologium verzeichneten Märtyrer und Heiligen des Tages, historischer Hintergrund zum Martyrium mit Ort und Umständen soweit überliefert, Verfolgungsperioden-Zuordnung Römische-Verfolgung/Reformationszeit/Moderne-Verfolgung, Filterfunktion nach Jahrhundert oder Region, Gedenktag-Erinnerungs-Funktion für persönlich bedeutsame Märtyrer, Zitat-Sammlung letzter überlieferter Worte soweit dokumentiert, Vergleichs-Statistik Anzahl verzeichneter Märtyrer pro Jahrhundert (ApexCharts Balken), Bildungsmaterial-Export für den Religionsunterricht, Verwandte-Märtyrer-Gruppen gemeinsam hingerichtete Gruppen zusammengefasst, moderne Märtyrer-Sektion mit Bezug auf das 20. und 21. Jahrhundert, Suchfunktion nach Namen oder Ort, GSAP Tagesgedenken-Einblend-Animationen - USE CASE: Pfarreien gestalten Gedenkgottesdienste mit historisch fundiertem Hintergrundwissen zu den Tagesmärtyrern, Geschichtsinteressierte erschließen sich systematisch die Verfolgungsgeschichte des Christentums über die Jahrhunderte.\n\n54. **#354** — baue ein Geschichtsarchiv bedeutender Wallfahrtsorte - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Historische Entstehungsgeschichte bedeutender Wallfahrtsorte Lourdes/Fatima/Santiago-de-Compostela/Altötting mit belegtem Erscheinungs- oder Gründungskontext, kirchliche Anerkennungsgeschichte des jeweiligen Ortes mit Datum, Wallfahrts-Entwicklung über die Jahrhunderte Besucherzahlen-Verlauf soweit dokumentiert (ApexCharts Line), architekturgeschichtliche Entwicklung der Wallfahrtskirche, bedeutende Papstbesuche am jeweiligen Ort chronologisch, Legenden-versus-historisch-belegte-Fakten transparent unterschieden, Reliquien-und-Gnadenbild-Beschreibung, Vergleichs-Ansicht mehrerer Wallfahrtsorte nebeneinander, Zitat-Sammlung bedeutender Wallfahrer-Berichte, Bildungsmaterial-Export, GSAP historische Zeitleisten-Animationen - USE CASE: Geschichtsinteressierte Pilger vertiefen ihr Verständnis für die historische Entwicklung eines Wallfahrtsortes vor dem eigenen Besuch, Reiseleiter kirchlicher Gruppenreisen bereiten fundierte historische Erläuterungen für Wallfahrtsgruppen vor.\n\n55. **#355** — erstelle einen Konzilsgeschichte-Visualizer von Nicäa bis zum Zweiten Vatikanum - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Chronologische Übersicht aller 21 ökumenischen Konzilien mit Ort/Jahr/Hauptthema, Vertiefungs-Ansicht pro Konzil zentrale Beschlüsse und deren Bedeutung, Nicäa-325-Schwerpunkt Homousios-Formel und Trinitätslehre verständlich erklärt, Trient-Schwerpunkt Reaktion auf die Reformation mit zentralen Dekreten, Vatikanum-I-und-II-Vergleich Unfehlbarkeitsdogma und pastorale Öffnung gegenübergestellt, Teilnehmerzahlen-Entwicklung über die Jahrhunderte (ApexCharts Balken), Streitfragen-Sektion pro Konzil welche Positionen diskutiert und welche verworfen wurden, Rezeptionsgeschichte wie Konzilsbeschlüsse in der Kirche aufgenommen wurden, Glossar konziliarer Fachbegriffe Dogma/Kanon/Dekret, Quellenangaben zu den Originaltexten, GSAP Konzils-Zeitleisten-Animationen - USE CASE: Theologiestudierende erarbeiten sich einen strukturierten Überblick über die Konzilsgeschichte für Prüfungen, Katecheten erklären interessierten Laien die Entwicklung zentraler Glaubenslehren anhand der Konzilsgeschichte nachvollziehbar.\n\n56. **#356** — entwickle einen Ordensgeschichte-Tracker religiöser Gemeinschaften - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Datenbank bedeutender Ordensgemeinschaften Benediktiner/Franziskaner/Dominikaner/Jesuiten mit Gründungsjahr und Gründergestalt, Ordensregel-Kurzvergleich Benediktinerregel-Ora-et-Labora versus franziskanisches Armutsideal versus jesuitische Exerzitien-Spiritualität, Ausbreitungs-Zeitleiste pro Orden über die Jahrhunderte, Reformbewegungen-innerhalb-der-Orden zum Beispiel Zisterzienser als Benediktiner-Reform, Charismen-Vergleich Kontemplation/Bildung/Mission/Predigt pro Ordensfamilie, bedeutende Ordensmitglieder-Verweis zu zugehörigen Heiligen, heutige Präsenz-Übersicht Mitgliederzahlen-Entwicklung soweit dokumentiert (ApexCharts Line), Kloster-Architektur-Merkmale pro Ordenstradition, Suchfunktion nach Orden oder Gründungsjahrhundert, Vergleichstabelle mehrerer Orden nebeneinander, GSAP Ordens-Zeitleisten-Animationen - USE CASE: Studierende der Kirchengeschichte verschaffen sich einen systematischen Überblick über die Vielfalt religiöser Gemeinschaften, an Ordensberufung Interessierte informieren sich fundiert über Charisma und Geschichte verschiedener Ordensfamilien.\n\n57. **#357** — programmiere einen Katakomben-und-Frühchristentum-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übersicht bedeutender römischer Katakomben Calixtus/Domitilla/Priscilla mit historischem Entstehungskontext, frühchristliche Symbolik-Erklärung Fisch-Ichthys/Anker/Guter-Hirte mit Bedeutungshintergrund, Verfolgungsperioden-Zeitleiste unter verschiedenen römischen Kaisern, archäologische Fundstücke-Beschreibung Inschriften und Grabmalereien, Alltagsleben-der-Urkirche-Sektion Hausgemeinden und geheime Zusammenkünfte, Konstantinische-Wende-Erklärung Mailänder-Vereinbarung-313 und deren Folgen, Vergleich frühchristlicher versus späterer kirchlicher Kunst, Glossar frühchristlicher Fachbegriffe, virtuelle-Rundgang-Beschreibung Mockup durch eine Katakombe mit Stationen, Quellenangaben zu archäologischen und patristischen Belegen, GSAP Katakomben-Rundgang-Animationen - USE CASE: Geschichtsinteressierte erschließen sich anschaulich das Leben der Urkirche vor der Konstantinischen Wende, Pilger nach Rom bereiten den Besuch der Katakomben mit fundiertem historischem Hintergrundwissen vor.\n\n58. **#358** — baue eine Päpste-Chronik mit vollständiger Zeitleiste - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Chronologische Liste aller Päpste von Petrus bis zur Gegenwart mit Pontifikatsdauer, Amtszeit-Statistik längste und kürzeste Pontifikate im Vergleich (ApexCharts Balken), historische Einordnung jedes Pontifikats in seine Epoche, Gegenpapst-Kennzeichnung Zeiten des Abendländischen Schismas transparent erklärt, thematische Filterung Reform-Päpste/Konzils-Päpste/Missions-Päpste, Enzykliken-Verweis zu bedeutenden Lehrschreiben pro Papst, Wahlverfahren-Erklärung Konklave-Ablauf mit historischer Entwicklung, Herkunfts-Statistik geografische Verteilung der Päpste über die Jahrhunderte, Suchfunktion nach Name oder Jahrhundert, Vergleichsansicht zweier Pontifikate nebeneinander, GSAP Papst-Portrait-Zeitleisten-Animationen - USE CASE: Geschichtsinteressierte verschaffen sich einen strukturierten Überblick über zweitausend Jahre Papstgeschichte, Religionslehrer nutzen die Chronik zur Veranschaulichung der ununterbrochenen apostolischen Sukzession im Unterricht.\n\n59. **#359** — erstelle ein Studientool zu den großen Kirchenvätern - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Profile bedeutender Kirchenväter Augustinus/Ambrosius/Hieronymus/Chrysostomus/Gregor-der-Große mit Lebensdaten und theologischem Schwerpunkt, Kernwerke-Übersicht pro Kirchenvater mit Kurzzusammenfassung, Zitat-Sammlung bekannter Aussprüche mit Quellenangabe, Ost-West-Kennzeichnung griechische versus lateinische Kirchenväter mit jeweiligem theologischem Akzent, Einfluss-Netzwerk-Visualisierung wer wen theologisch beeinflusst hat (D3.js Graph), Lehramtliche-Rezeption-Sektion wie Kirchenväter-Aussagen in spätere Konzilsentscheidungen einflossen, Lesehilfe-Auszüge aus Originalwerken mit Erläuterung, Vergleichstabelle theologischer Positionen zu zentralen Streitfragen, Suchfunktion nach Thema oder Kirchenvater, Studienplan-Vorschlag für eine systematische Kirchenväter-Lektüre, GSAP Portrait-Karten-Animationen - USE CASE: Theologiestudierende bereiten sich mit strukturiertem Grundwissen auf patristische Seminare vor, ernsthafte Laien vertiefen ihr Verständnis der frühen Kirche über die Lehre der Kirchenväter.\n\n60. **#360** — entwickle ein Dokumentationsarchiv zu Reliquien und anerkannten Wundern - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Übersicht bedeutender Reliquien mit Aufbewahrungsort und Echtheits-Diskussionsstand nach kirchlicher Prüfung, Erklärung der Reliquien-Kategorien Erster-Zweiter-Dritter-Grad nach kirchlichem Verständnis, Wunder-Dokumentation im Rahmen von Kanonisierungsprozessen mit dem Ablauf der medizinischen und theologischen Prüfung, bekannte eucharistische Wunder-Sektion mit historischem Prüfungsstand, kritische-und-respektvolle-Darstellung wissenschaftlich ungeklärter Phänomene ohne unseriöse Sensationalisierung, Zeitleiste bedeutender Kanonisierungsprozesse, Glossar der Fachbegriffe Translation/Kultstätte/Authentizitätsprüfung, Quellenangaben zu offiziellen kirchlichen Untersuchungsberichten, Suchfunktion nach Ort oder Heiligem, Bildungsmaterial-Export für interessierte Gruppen, GSAP Dokumentations-Karten-Animationen - USE CASE: Geschichtsinteressierte erschließen sich die kirchliche Prüfpraxis bei Reliquien und Wundern sachlich und differenziert, Wallfahrtsseelsorger nutzen die fundierte Dokumentation zur seriösen Beantwortung von Pilgerfragen vor Ort.\n\n## Kategorie 7: KATECHISMUS & GLAUBENSBILDUNG (10 Prompts)\n\n61. **#361** — erstelle ein Studientool zum Katechismus der Katholischen Kirche nach den vier Säulen - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Gliederung nach den vier Säulen Glaubensbekenntnis/Sakramente/Leben-in-Christus/Gebet mit Randnummern-Navigation, interaktives Inhaltsverzeichnis mit Sprungmarken zu jedem Abschnitt, Zusammenfassung-am-Kapitelende jeweils als kompakte Lernkarte, Querverweis-System zwischen thematisch verwandten Randnummern, persönlicher Lesefortschritt durch den gesamten Katechismus (ApexCharts Kalender-Heatmap), Quiz-Modus nach jedem Kapitel zur Selbstüberprüfung, Glossar-Popover für Fachbegriffe bei Hover, Suchfunktion Volltext mit Ergebnis-Hervorhebung, Randnummern-Lesezeichen für laufende Studienprojekte, Gruppen-Lesevergleich-Mockup für Katechismus-Kreise, Export eigener Notizen pro Abschnitt als PDF, GSAP Kapitel-Übergangs-Animationen - USE CASE: Erwachsene in der Glaubensbildung erarbeiten sich den Katechismus strukturiert statt unsystematisch zu blättern, Katechismus-Kreise in Pfarreien verfolgen gemeinsam den Lesefortschritt durch das gesamte Werk über mehrere Monate.\n\n62. **#362** — entwickle ein scholastisches Summa-Glossar zu zentralen Begriffen der Theologie - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Glossar scholastischer Fachbegriffe Substanz/Akzidenz/Transsubstantiation/Analogia-Entis mit verständlicher Erklärung, Struktur-Nachbildung der Summa Theologiae Frage-Einwand-Sed-Contra-Antwort als Lernschema, thematische Verknüpfung zu den fünf Gottesbeweisen des Thomas von Aquin mit Kurzerläuterung jedes Weges, Vergleich scholastischer Begriffe mit heutigem Sprachgebrauch zur besseren Verständlichkeit, Quellenangaben zu den jeweiligen Quästionen der Summa, historische Einordnung der Scholastik im 13. Jahrhundert und ihres Verhältnisses zur aristotelischen Philosophie, Übungsaufgaben Begriff der passenden Definition zuordnen, Suchfunktion über alle Begriffe, Lernkarten-Modus mit Wiederholungsalgorithmus, Verwandte-Begriffe-Netzwerk-Visualisierung (D3.js Graph), GSAP Begriffs-Karten-Animationen - USE CASE: Theologiestudierende erschließen sich die scholastische Fachterminologie systematisch vor der Lektüre der Summa Theologiae im Original, Interessierte Laien nähern sich der thomistischen Philosophie über verständlich aufbereitete Grundbegriffe an.\n\n63. **#363** — programmiere einen Firmvorbereitungs-Tracker für Jugendgruppen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Strukturierter Vorbereitungsplan über mehrere Monate mit Themenblöcken Heiliger-Geist/Firmpatron/Sieben-Gaben-des-Geistes, Anwesenheits-Tracking der Gruppentreffen, sieben-Gaben-Erklärung Weisheit/Verstand/Rat/Stärke/Erkenntnis/Frömmigkeit/Gottesfurcht mit alltagsnahen Beispielen, Firmpatron-Auswahl-Hilfe mit Kurzbiografien zur Namensfindung, Sozialprojekt-Dokumentation verpflichtender Praxisanteil vor der Firmung, Elternabend-Terminverwaltung, persönliches Glaubens-Tagebuch während der Vorbereitungszeit, Firmspender-und-Termin-Übersicht, Fortschritts-Anzeige durch alle Vorbereitungsmodule (ApexCharts Stepper), Gruppenleiter-Materialbibliothek Vorlagen für Gruppenstunden, GSAP Modul-Freischalt-Animationen - USE CASE: Firmkatecheten koordinieren die mehrmonatige Vorbereitung mit klarer Struktur und Transparenz für Jugendliche und Eltern, Jugendliche dokumentieren die eigene Glaubensentwicklung während der Firmvorbereitung nachvollziehbar.\n\n64. **#364** — baue ein Erstkommunion-Vorbereitungs-Tool für Kinder und Katecheten - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kindgerechter Lernpfad zur Eucharistie mit Bildern und einfacher Sprache, Themenblöcke Letztes-Abendmahl/Wandlung/Kommunionempfang altersgerecht erklärt, Malvorlagen-Platzhalter zu biblischen Szenen des Abendmahls, Eltern-Bereich mit Hintergrundinformationen zur Begleitung zuhause, Gruppentreffen-Kalender mit Themenübersicht, kleine Quizfragen nach jedem Themenblock mit Sternebelohnung, Erstbeichte-Vorbereitung als vorgeschalteter Themenblock kindgerecht erklärt, Fortschritts-Sticker-Sammlung durch die Vorbereitungszeit (ApexCharts Radial), Gebete-zum-Auswendiglernen kindgerecht mit Wiederholungsfunktion, Fest-Checkliste für den Tag der Erstkommunion, Erinnerungsalbum-Funktion Fotos und Erinnerungen Mockup-Platzhalter, GSAP kindgerechte verspielte Animationen - USE CASE: Katecheten gestalten die Erstkommunionvorbereitung altersgerecht und strukturiert über das gesamte Vorbereitungsjahr, Eltern begleiten die Glaubensentwicklung ihres Kindes zuhause mit den bereitgestellten Hintergrundinformationen.\n\n65. **#365** — erstelle ein RCIA-Vorbereitungs-Tracker für die Erwachsenentaufe - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Abbildung der vier RCIA-Phasen Anfrage-Katechumenat-Erleuchtung-Mystagogie mit Zeitplan, Themen-Curriculum pro Phase Glaubensgrundlagen/Sakramentenlehre/Kirchenjahr, Riten-Kalender Aufnahme-in-den-Katechumenat/Wahl-Rite/Skrutinien/Taufe-in-der-Osternacht, Paten-Kontakt-Verwaltung pro Taufbewerber, persönliches Glaubens-Tagebuch während der gesamten Vorbereitungszeit, Fortschritts-Dashboard pro Teilnehmer für die begleitenden Katecheten (ApexCharts Stepper), Fragen-Sammlung für Rückfragen an Priester oder Katecheten, Mystagogie-Nachbereitung-Modul für die Zeit nach der Taufe, Gruppentreffen-Terminverwaltung, Zertifikat-Vorbereitung für die Feier der Sakramente, GSAP Phasen-Fortschritts-Animationen - USE CASE: Pfarreien mit RCIA-Programm koordinieren die mehrmonatige Erwachsenenkatechese strukturiert für mehrere Taufbewerber gleichzeitig, Katecheten dokumentieren den individuellen geistlichen Fortschritt jedes Teilnehmers nachvollziehbar.\n\n66. **#366** — entwickle eine Apologetik-Argumente-Bibliothek nach Themenfeldern - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierte Argument-Sammlung zu häufigen Einwänden gegen den katholischen Glauben nach Themenfeldern Gottesbeweise/Bibel-und-Wissenschaft/Kirchengeschichte-Kritik/Sakramentenlehre, jeweils Einwand-Gegenargument-Quellenangabe-Format konsequent durchgehalten, historische Herkunft des jeweiligen Einwands zur Einordnung, Schwierigkeitsgrad-Kennzeichnung Alltagsgespräch versus akademische Diskussion, Verwandte-Argumente-Verknüpfung thematisch zusammenhängender Einwände, Zitat-Sammlung anerkannter Apologeten mit Quellenangabe, Suchfunktion über alle Argumente, persönliche Merkliste häufig gebrauchter Argumentationslinien, respektvoller-Ton-Leitfaden wie Einwände ohne Herabsetzung des Gegenübers beantwortet werden, Übungsmodus eigene Antwort formulieren vor Anzeige der Musterantwort, GSAP Argument-Karten-Animationen - USE CASE: Ehrenamtliche in der Glaubensvermittlung bereiten sich mit einer strukturierten Argumentbibliothek auf kritische Nachfragen vor, Religionslehrer nutzen die Sammlung zur Vorbereitung von Diskussionseinheiten im Oberstufenunterricht.\n\n67. **#367** — programmiere ein Moraltheologie-Fallstudien-Tool für Studiengruppen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fallbeispiel-Bibliothek zu klassischen moraltheologischen Fragestellungen nach Themenfeldern Gewissensfreiheit/Soziallehre/Bioethik strukturiert, geführte Analyse-Methode nach den Prinzipien der katholischen Moraltheologie objektive-Handlung/subjektive-Umstände/Absicht, Diskussionsfragen pro Fallbeispiel für Gruppenarbeit, Verweis auf einschlägige Katechismus-Abschnitte und lehramtliche Dokumente zu jedem Fall, unterschiedliche-Positionen-innerhalb-der-Moraltheologie transparent dargestellt wo legitime Auslegungsspielräume bestehen, eigene Stellungnahme-Formular vor Anzeige der kirchlichen Position, Fortschritts-Tracking bearbeiteter Fallstudien, Export der Gruppendiskussion als Protokoll, Schwierigkeitsgrad-Filter nach Studiensemester, Quellenverzeichnis pro Fallstudie, GSAP Fallstudien-Karten-Animationen - USE CASE: Theologiestudierende üben die methodische Anwendung moraltheologischer Prinzipien an konkreten Fallbeispielen, Firm- und Ehevorbereitungsgruppen diskutieren ethische Grundfragen strukturiert anhand alltagsnaher Fälle.\n\n68. **#368** — baue ein interaktives Erklärtool zur Sakramentenlehre - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Alle sieben Sakramente mit verständlicher Erklärung von Materie/Form/Wirkung nach katholischer Sakramententheologie, Einteilung nach Initiationssakramenten/Heilungssakramenten/Dienstsakramenten strukturiert dargestellt, Ex-opere-operato-Prinzip verständlich erklärt für interessierte Laien, Wiederholbarkeit-versus-Einmaligkeit-Erklärung mit dem theologischen Konzept des Charakter Sacramentalis, Vergleichstabelle der sieben Sakramente nach Wirkung und Spendevoraussetzung, historische Entwicklung der Siebenzahl der Sakramente bis zum Konzil von Trient, Quiz-Modus zur Selbstüberprüfung des Verständnisses, Glossar sakramententheologischer Fachbegriffe, Verweis auf passende Katechismus-Randnummern, persönliches Lerntagebuch, GSAP Sakraments-Karten-Animationen - USE CASE: Firmlinge und Taufbewerber verstehen die theologische Struktur der Sakramente über das reine Auswendiglernen hinaus, Katecheten nutzen das Tool zur verständlichen Erklärung komplexer sakramententheologischer Konzepte im Unterricht.\n\n69. **#369** — erstelle einen Vokabeltrainer für Kirchenlatein - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabel-Sammlung zentraler liturgischer und theologischer lateinischer Begriffe mit deutscher Übersetzung, Kategorisierung nach Messordnung/Sakramente/Gebete/Kirchenrecht, Spaced-Repetition-Algorithmus für nachhaltiges Lernen, Aussprache-Hinweis nach kirchlicher Latein-Aussprache-Tradition, ganze-Gebetstexte-Übungsmodus Vaterunser und Ave Maria im lateinischen Original mit Wort-für-Wort-Übersetzung, Deklinations-und-Konjugations-Übungen anhand liturgischer Beispielsätze, Fortschritts-Tracking gelernter Vokabeln (ApexCharts Kalender-Heatmap), Karteikarten-Modus mit Umdreh-Animation, Quiz-Modus mit Multiple-Choice und Freitext, Zertifikat bei abgeschlossenem Grundwortschatz, historische Einordnung warum Latein bis heute liturgische Bedeutung hat, GSAP Karten-Flip-Animationen - USE CASE: Ministranten und Kirchenmusiker lernen die lateinischen Grundbegriffe der Liturgie systematisch, Studierende der katholischen Theologie bereiten sich mit dem liturgischen Grundwortschatz auf das Latinum vor.\n\n70. **#370** — entwickle einen Tugendlehre-Tracker für die täglichen Kardinal- und theologischen Tugenden - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Die vier Kardinaltugenden Klugheit/Gerechtigkeit/Tapferkeit/Mäßigung und die drei theologischen Tugenden Glaube/Hoffnung/Liebe mit verständlicher Erklärung nach klassischer Tugendlehre, tägliche Selbstreflexion welche Tugend heute besonders gefordert war, Wochenrückblick Tugend-Praxis-Diagramm (ApexCharts Radar), thematische Vertiefung pro Tugend mit Bibelstellen-Bezug und Aussagen der Kirchenväter, Gegensatz-Laster-Erklärung zu jeder Tugend nach den Hauptsünden, Vorbild-Heilige pro Tugend als Fürsprecher-Vorschlag, persönliches Wachstums-Tagebuch über mehrere Monate, Erinnerungs-Funktion zur abendlichen Reflexion, Zitat-Rotation klassischer Tugendlehre-Texte von Aristoteles bis Thomas von Aquin, Vergleichsansicht eigene Entwicklung über Zeit, GSAP Tugend-Fortschritts-Animationen - USE CASE: Gläubige arbeiten strukturiert an der eigenen charakterlichen und geistlichen Reifung nach klassischer Tugendlehre, Exerzitienbegleiter nutzen den Tracker als Vorlage für die Reflexionsarbeit während einer Einkehrzeit.\n\n## Kategorie 8: PILGERREISE & WALLFAHRTS-TOOLS (10 Prompts)\n\n71. **#371** — erstelle einen Jakobsweg-Planer für die 3500 Kilometer nach Santiago - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Routenkarte mit den wichtigsten Jakobsweg-Varianten Camino-Francés/Camino-Portugués/Camino-del-Norte, Etappen-Planer mit Tagesstrecken und Höhenprofil (D3.js), Herbergsverzeichnis-Mockup entlang der Route mit Kapazitätsangabe, Tagesziel-Tracking mit tatsächlich zurückgelegter Distanz, Ausrüstungs-Checkliste speziell für Mehrwochen-Fußpilgerschaft, Pilgerpass-Digital-Ergänzung zur physischen Credencial, Budget-Rechner für Herbergen und Verpflegung über die gesamte Strecke, Etappen-Tagebuch mit Foto-Platzhalter und Reflexionsnotiz, spirituelle-Impulse-pro-Etappe passend zur zurückgelegten Kirche oder Kapelle, Notfallkontakte-und-Gesundheitsinfo-Sektion, Wettervorhersage-Platzhalter für die kommenden Etappen, GSAP Routenfortschritts-Animationen - USE CASE: Pilger planen eine mehrwöchige Fußwallfahrt von mehreren tausend Kilometern strukturiert und realistisch, Pilgerbegleiter und Pfarrgruppen koordinieren gemeinsame Camino-Reisen mit einheitlicher Etappenplanung.\n\n72. **#372** — entwickle eine interaktive Karte bedeutender Wallfahrtsorte weltweit - HTML - TECH: Materialize+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Leaflet-Weltkarte mit den bedeutendsten Marien- und Heiligenwallfahrtsorten Lourdes/Fatima/Guadalupe/Altötting/Loreto, Filterfunktion nach Marienerscheinungsort/Reliquienort/Apostelgrab, Detailinfo pro Ort Gründungsgeschichte/kirchliche Anerkennung/jährliche Pilgerzahl, Routenplanungs-Funktion mehrere Wallfahrtsorte einer Reise verbinden, persönliche Besuchsliste bereits besuchter und geplanter Orte, Ablasshinweise soweit kirchlich verbunden mit dem jeweiligen Ort, Fest-und-Wallfahrtssaison-Kalender pro Ort, Anreise-Hinweise-Mockup nächstgelegener Flughafen oder Bahnhof, Gebetsanliegen-Verknüpfung eigene Anliegen einem geplanten Wallfahrtsort zuordnen, Bildergalerie-Platzhalter pro Wallfahrtsort, Community-Erfahrungsberichte-Mockup anderer Pilger, GSAP Kartenmarker-Animationen - USE CASE: Pilger planen internationale Wallfahrtsreisen mit fundiertem Vorwissen zu den jeweiligen Orten, Reiseveranstalter kirchlicher Gruppenreisen nutzen die Karte zur übersichtlichen Routengestaltung mehrerer Wallfahrtsziele.\n\n73. **#373** — programmiere ein Verzeichnis bedeutender Reliquien und Schreine - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbare Datenbank bedeutender Reliquienschreine mit Aufbewahrungsort und zugehörigem Heiligen, Kategorisierung nach Reliquientyp Körperreliquie/Berührungsreliquie/Kreuzreliquie, historische Translations-Geschichte wie die Reliquie an ihren heutigen Ort gelangte, Öffnungszeiten-und-Zugänglichkeits-Hinweis-Mockup für Pilger, Wallfahrts-Etikette-Erklärung angemessenes Verhalten am Schrein, Verknüpfung zum zugehörigen Heiligen-Profil mit Lebensgeschichte, Fest-und-Verehrungstage-Kalender pro Reliquie, Kartenverweis geografische Lage des Schreins, persönliche Besuchsliste mit Notizfeld, Ähnliche-Schreine-Empfehlung gleicher Heiliger oder Region, Export Reiseliste geplanter Schrein-Besuche, GSAP Schrein-Detail-Animationen - USE CASE: Pilger recherchieren vor einer Reise gezielt erreichbare Reliquienschreine entlang der geplanten Route, Wallfahrtsseelsorger bereiten Gruppenreisen mit fundiertem Hintergrundwissen zu den besuchten Schreinen vor.\n\n74. **#374** — baue einen Budget-Planer für mehrwöchige Pilgerreisen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kostenkategorien-Planer Herberge/Verpflegung/Ausrüstung/Reisekosten mit Tagesbudget-Vorschlag, Vergleich unterschiedlicher Pilgerwege nach durchschnittlichen Tageskosten Jakobsweg versus Via-Francigena versus Heiliges-Land-Reise, Ausgaben-Tracking während der Reise mit Kategorien-Aufteilung (ApexCharts Donut), Sparziel-Rechner Wochen bis zur benötigten Reisesumme, Notfallreserve-Empfehlung als Prozentsatz des Gesamtbudgets, Währungsumrechner für internationale Pilgerreisen, Herbergstyp-Kostenvergleich Pilgerherberge versus Pension versus Kloster-Gästehaus, Fundraising-Sektion für Pilger die um Unterstützung ihrer Gemeinde bitten, Budget-Historie vergangener Pilgerreisen, Export Budgetplan als PDF, Gruppen-Kostenteilung-Rechner für gemeinsame Wallfahrten, GSAP Budget-Balken-Animationen - USE CASE: Pilger planen mehrwöchige Fußwallfahrten finanziell realistisch ohne böse Überraschungen unterwegs, Pfarreien mit Fundraising-Aktion für Jugendwallfahrten kalkulieren den tatsächlichen Bedarf transparent.\n\n75. **#375** — erstelle eine Packlisten-App speziell für Fußwallfahrten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Spezialisierte Packlisten-Vorlagen nach Jahreszeit und Streckenlänge kurz-Wochenend-Wallfahrt versus mehrwöchiger Camino, Gewichts-Tracker pro Gepäckstück mit Gesamtgewichts-Warnung bei Überschreitung des empfohlenen Rucksackgewichts, Kategorien-Checkliste Kleidung/Fußpflege/Erste-Hilfe/geistliche-Ausrüstung, spirituelle-Reiseausrüstung-Sektion Taschenbibel/Rosenkranz/Pilgergebetbuch als eigene Kategorie, Wetterabhängige-Anpassungsvorschläge je nach Reisezeit, Erfahrungsberichte-Integration-Mockup was erfahrene Pilger tatsächlich mitnehmen würden, Mehrfachnutzungs-Prinzip-Tipps um Gepäck zu minimieren, persönliche Packliste speicherbar und für Folgereisen wiederverwendbar, Abhak-Funktion während des tatsächlichen Packens, Reisegruppen-Vergleich gemeinsame versus individuelle Ausrüstung, Vergessene-Gegenstände-Historie aus früheren Reisen lernen, GSAP Checklisten-Abhak-Animationen - USE CASE: Erstpilger vermeiden durch die geprüfte Packliste typische Anfängerfehler wie zu schweres Gepäck, erfahrene Pilger optimieren ihre Ausrüstung anhand der gesammelten Erfahrungswerte für die nächste Wallfahrt.\n\n76. **#376** — entwickle ein Koordinationstool für Gruppenwallfahrten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Teilnehmerverwaltung mit Kontaktdaten und Notfallkontakten für die gesamte Pilgergruppe, gemeinsamer Reiseplan mit Etappen und Übernachtungsorten für alle sichtbar, Aufgabenverteilung Vorbeter/Kassenwart/Erste-Hilfe-Verantwortlicher innerhalb der Gruppe, Kommunikations-Ankündigungs-Bereich für kurzfristige Planänderungen, gemeinsame-Andachtszeiten-Planung Morgengebet und Abendsegen der Gruppe, Kostenteilungs-Rechner für gemeinsam gebuchte Unterkünfte, Teilnehmer-Gesundheitsinformationen vertraulich mit Zugriff nur für Verantwortliche, Foto-Tagebuch-Sammlung der ganzen Gruppe, Feedback-Sammlung nach der Reise für zukünftige Wallfahrten, Notfallplan-Dokumentation bei medizinischen Zwischenfällen, An-und-Abreise-Koordination bei individueller Anreise zum Startpunkt, GSAP Gruppen-Übersichts-Animationen - USE CASE: Pfarreien organisieren größere Gruppenwallfahrten mit vielen Teilnehmern übersichtlich und sicher, Wallfahrtsleiter behalten während der Reise den Überblick über alle organisatorischen Aspekte der Gruppe.\n\n77. **#377** — programmiere einen Basiliken-Tracker für die Rom-Pilgerfahrt - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Die vier päpstlichen Basiliken Sankt-Peter/Sankt-Paul-vor-den-Mauern/Sankt-Johannes-im-Lateran/Santa-Maria-Maggiore mit historischem Hintergrund, Heilige-Pforte-Erklärung und Jubeljahr-Tradition mit Ablasshinweisen, Besuchs-Tracking welche Basiliken bereits besucht mit Datum, weitere-bedeutende-Kirchen-Roms-Ergänzungsliste Santa-Maria-in-Trastevere und weitere, Katakomben-und-Reliquien-Verweis pro Basilika, Öffnungszeiten-und-Messzeiten-Hinweis-Mockup, historische-Baugeschichte-Zeitleiste pro Basilika von der Konstantinischen Gründung bis zum heutigen Bau, Ablauf-Erklärung für den Durchschreiten der Heiligen Pforte, persönliches Rom-Pilgertagebuch, Routenvorschlag zu Fuß zwischen den vier Basiliken, Gebetsanliegen-Notizfeld pro besuchter Basilika, GSAP Basiliken-Detail-Animationen - USE CASE: Rom-Pilger insbesondere in einem Heiligen Jahr verschaffen sich einen strukturierten Überblick über die vier päpstlichen Basiliken, Wallfahrtsgruppen planen den Basiliken-Rundgang mit fundiertem historischem und spirituellem Hintergrundwissen.\n\n78. **#378** — baue ein Reisetagebuch für Fatima- und Lourdes-Pilgerreisen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Getrennte Sektionen für beide Wallfahrtsorte mit jeweiliger Erscheinungsgeschichte 1917 in Fatima und 1858 in Lourdes, Tagesablauf-Vorlage für typische Pilgerprogramme Kerzenprozession-in-Fatima und Lourdes-Wasserbad-und-Grotte, persönliches Reisetagebuch mit Foto-Platzhalter pro Tag, Gebetsanliegen-Mitbring-Funktion Anliegen von zuhause mit an den Wallfahrtsort nehmen, historische-Seherkinder-Biografien Lucia-Francisco-Jacinta beziehungsweise Bernadette Soubirous, Reflexions-Impulse zur jeweiligen Botschaft der Erscheinungen im kirchlich anerkannten Rahmen, praktische-Hinweise Anreise/Unterkunft/Andachtszeiten-Mockup, Gebetstext-Sammlung Fatima-Gebet und Lourdes-Wallfahrtslied, Souvenir-und-Andenken-Checkliste für zuhause Gebliebene, Rückkehr-Reflexions-Seite geistliche Frucht der Reise festhalten, Export Reisetagebuch als PDF-Andenken, GSAP Tagebuch-Seiten-Animationen - USE CASE: Pilger nach Fatima oder Lourdes dokumentieren ihre spirituelle Reiseerfahrung strukturiert und respektvoll, Wallfahrtsgruppen bereiten sich mit fundiertem Wissen zur jeweiligen Erscheinungsgeschichte auf den Besuch vor.\n\n79. **#379** — erstelle einen Reiseplaner für das Heilige Land - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Leaflet-Karte der wichtigsten heiligen Stätten Bethlehem/Nazareth/Jerusalem/See-Genezareth mit biblischem Bezug pro Ort, Via-Dolorosa-Routenplan mit allen 14 Stationen des Kreuzwegs in Jerusalem, Tagesetappen-Vorschlag für eine typische zehn- bis vierzehntägige Reise, biblische-Textstelle-Verknüpfung pro besuchtem Ort direkt aus dem Neuen Testament, historisch-und-heutige-Situation-Erklärung politische Lage sensibel und sachlich dargestellt, interreligiöse-Bedeutung-Hinweis viele Orte sind auch für Judentum und Islam heilig mit respektvoller Erwähnung, Sicherheitshinweise-Mockup aktuelle Reisehinweise, geistliches-Reisetagebuch mit Reflexionsraum pro Station, Gruppenreise-versus-Individualreise-Planungshilfe, Budget-Grobkalkulation für die Region, Andenken-und-Souvenir-Checkliste, GSAP Routenverlauf-Animationen - USE CASE: Pilger ins Heilige Land bereiten eine biblisch fundierte Reiseroute mit direktem Textbezug zu jedem Ort vor, Reiseveranstalter kirchlicher Gruppen strukturieren komplexe mehrtägige Programme mit vielen heiligen Stätten übersichtlich.\n\n80. **#380** — entwickle einen digitalen Pilgerpass mit Stempel-Tracker - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitale Ergänzung zur physischen Credencial mit Ort-und-Datum-Eintrag pro Etappenstempel, Fortschritts-Visualisierung zurückgelegte Kilometer bis Santiago oder zum jeweiligen Zielort (ApexCharts Radial), Mindestdistanz-Tracker zur Erlangung der Compostela-Urkunde 100 Kilometer zu Fuß oder 200 mit dem Fahrrad, Etappen-Historie mit Notizfeld pro Tagesstrecke, Foto-Anhang-Mockup pro Stempel als visuelles Erinnerungsstück, Herbergs-Bewertungs-Funktion für spätere Pilger als Empfehlung, Mehrfach-Pilgerreisen-Verwaltung getrennte Pässe für unterschiedliche Wege im Zeitverlauf, Gemeinschafts-Statistik-Mockup wie viele Pilger denselben Abschnitt gegangen sind, Exportfunktion des digitalen Passes als Andenken-PDF, Motivations-Meilenstein-Benachrichtigung bei erreichten Etappenzielen, Sprachumschaltung für internationale Nutzung, GSAP Stempel-Einschlag-Animationen - USE CASE: Jakobsweg-Pilger dokumentieren ihre Etappen zusätzlich zur physischen Credencial digital und übersichtlich, Wallfahrtsorganisationen nutzen das Konzept als Vorlage für digitale Nachweise bei anderen anerkannten Pilgerwegen.\n\n## Kategorie 9: KIRCHENMUSIK & LITURGISCHER KALENDER (10 Prompts)\n\n81. **#381** — erstelle ein digitales Gesangbuch mit liedbezogener Suchfunktion - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Liederdatenbank nach dem Vorbild des Gotteslob mit Liednummer/Text/Strophenzahl, Suchfunktion nach Titel/Anfangszeile/liturgischem-Anlass, Kategorisierung Advent/Weihnachten/Fastenzeit/Ostern/Marienlieder/Kommunionlieder, Textanzeige mit Strophenweise-Scroll-Synchronisation, Noten-Platzhalter-Anzeige zur jeweiligen Melodie, Tonart-und-Vierstimmigkeits-Hinweis für Chor- und Orgelgebrauch, persönliche Liedmerkliste für kommende Gottesdienste, Liedvorschlags-Funktion passend zur liturgischen Lesung des Sonntags, Strophen-Auswahl-Funktion bei zu kürzenden Liedern für den Gottesdienst, Kirchenlieder-Geschichte-Kurzinfo zu bekannten Liedern und deren Entstehung, Offline-Verfügbarkeit für Kirchenräume ohne Netz, GSAP Strophen-Scroll-Animationen - USE CASE: Kirchenmusiker und Organisten wählen passende Lieder schnell und liturgisch korrekt zugeordnet aus, Gemeinden nutzen die digitale Version als Ergänzung zum gedruckten Gesangbuch bei größeren Veranstaltungen.\n\n82. **#382** — entwickle eine App für die täglichen Messlesungen mit Kommentar - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Tagesaktuelle erste-Lesung/Antwortpsalm/zweite-Lesung/Evangelium nach korrektem Lesejahr und Wochentagslesejahr, kurzer geistlicher Impuls pro Tag zu den Lesungen, Antwortpsalm-mit-Kehrvers zur Mitfeier vorbereitet, Vorlese-Übungsmodus für Lektoren mit Betonungshinweisen, wöchentliche-Vorausschau kommende Sonntagslesungen zur Predigtvorbereitung, persönliches Lese-Tagebuch mit täglicher Reflexionsnotiz, Erinnerungs-Benachrichtigung zur täglichen Schriftlesung, Archiv-Funktion vergangene Tageslesungen nachschlagen, Fest-und-Gedenktags-Sonderlesungen automatisch eingeblendet, Export der Tageslesung als druckbare Karte für den Ambo, Sprachumschaltung für mehrsprachige Gemeinden, GSAP Lesungs-Einblend-Animationen - USE CASE: Gläubige begleiten das tägliche Kirchenjahr mit den offiziellen Messlesungen auch ohne täglichen Gottesdienstbesuch, Lektoren üben den Vortrag der kommenden Lesungen mit den bereitgestellten Betonungshinweisen.\n\n83. **#383** — programmiere einen Chorproben-Planer für Kirchenchöre - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Probenplan-Kalender mit Terminen und geplantem Repertoire pro Probe, Stimmgruppen-Verwaltung Sopran/Alt/Tenor/Bass mit Anwesenheitstracking, Repertoire-Bibliothek mit Schwierigkeitsgrad und liturgischem Einsatzanlass, Probeneinteilung-nach-Stimme separate Übungsabschnitte je Stimmgruppe, Auftritts-Kalender kommende Gottesdienste mit zugeordnetem Programm, Notenmaterial-Verwaltung-Mockup digitale Ablage nach Stück, Vertretungs-Anfrage-Funktion bei Verhinderung einzelner Sänger, Probenfortschritt-pro-Stück-Tracking bereit-für-Aufführung-Status (ApexCharts Radial), Neue-Mitglieder-Einarbeitungs-Checkliste, Feedback-Sammlung nach Proben zur Verbesserung, Erinnerungs-Benachrichtigung vor jeder Probe, GSAP Probenplan-Übersichts-Animationen - USE CASE: Kirchenchorleiter organisieren regelmäßige Proben mit klarer Repertoire-Zuordnung zu kommenden Gottesdiensten, Chormitglieder behalten den Überblick über Probentermine und den eigenen Einstudierungsstand.\n\n84. **#384** — baue ein Lerntool für gregorianischen Choral mit Neumenkunde - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Einführung in die Neumenschrift mit Erklärung der wichtigsten Zeichen Punctum/Virga/Podatus/Clivis, interaktive Übungen Neumen einer bekannten Melodie zuordnen, Kirchentonarten-Erklärung die acht Modi mit hörbarem Beispiel-Mockup, bekannte-Gesänge-Bibliothek Kyrie/Gloria/Sanctus/Agnus-Dei in verschiedenen gregorianischen Vertonungen, historische Einführung Ursprung im benediktinischen Mönchtum und die Reform durch Solesmes, Rhythmus-Prinzipien-Erklärung nach der klassischen Choral-Ictus-Lehre, Übungsmodus Melodieverlauf nach Neumen mitsingen mit Metronom-Mockup, Fortschritts-Tracking gelernter Gesänge (ApexCharts Radial), Vergleich gregorianischer versus mehrstimmiger Vertonung desselben Textes, Glossar choralspezifischer Fachbegriffe, GSAP Neumen-Einblend-Animationen - USE CASE: Kirchenmusiker und Scholae-Mitglieder erlernen die Grundlagen der Neumenschrift systematisch, Chorleiter nutzen das Tool zur Einführung neuer Sänger in die gregorianische Gesangstradition.\n\n85. **#385** — erstelle eine Feiertag-Erinnerungs-App für das komplette Kirchenjahr - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiger Festkalender mit Hochfesten/Festen/gebotenen-Feiertagen automatisch aus dem Kirchenjahr abgeleitet, gestaffelte Vorab-Erinnerung eine Woche und einen Tag vor wichtigen Festen, regionale-Unterschiede-Berücksichtigung gebotene Feiertage variieren je nach Land und Diözese, Vorbereitungs-Impulse pro Fest liturgische und geistliche Hintergrundinformation, Familientraditionen-Vorschläge passend zum jeweiligen Fest, Fastentage-Kennzeichnung Aschermittwoch und Karfreitag besonders hervorgehoben, Namenstag-Integration eigene und Familien-Namenstage automatisch im Kalender, Export als iCal-kompatible Datei für persönliche Kalender-Apps, Feiertagsgeschichte-Kurzinfo zu jedem Fest, Kirchenjahr-Countdown-Widget bis zum nächsten wichtigen Fest, Mehrsprachigkeit für internationale Gemeinden, GSAP Festtags-Ankündigungs-Animationen - USE CASE: Gläubige verpassen keine wichtigen kirchlichen Feste mehr durch die gestaffelten Erinnerungen, Familien gestalten das Jahr bewusster nach dem Rhythmus des Kirchenjahres statt nur nach dem staatlichen Kalender.\n\n86. **#386** — entwickle eine Repertoire-Verwaltung für Organisten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Orgelmusik-Datenbank nach liturgischem Anlass Präludium/Offertorium/Kommunion/Postludium kategorisiert, Komponisten-Register mit Werkverzeichnis-Nummern, Schwierigkeitsgrad-Einstufung für die eigene Übungsplanung, Registrierungs-Notizen pro Stück welche Orgelregister verwendet wurden, Einsatz-Historie wann welches Stück zuletzt gespielt wurde zur Abwechslung, liturgische-Passung-Vorschlag welches Stück zur Tageslesung oder Kirchenjahreszeit passt, Übe-Zeit-Tracking pro Stück bis zur Konzertreife, Notenmaterial-Verwaltung-Mockup digitale Ablage mit Fingersatz-Notizen, Vertretungs-Übergabe-Funktion Repertoire-Liste für einspringende Organisten, Festtags-Spezial-Repertoire für Hochfeste gesondert gekennzeichnet, Suchfunktion nach Anlass oder Komponist, GSAP Repertoire-Karten-Animationen - USE CASE: Organisten pflegen ihr Repertoire systematisch und wählen liturgisch passende Stücke ohne Wiederholung binnen kurzer Zeit, Vertretungsorganisten erhalten bei Einspringen eine fundierte Repertoire-Übersicht der Gemeinde.\n\n87. **#387** — programmiere eine Kirchenlieder-Datenbank mit Akkordsymbolen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Liedtext-mit-Akkordsymbolen-Anzeige für Gitarrenbegleitung bei modernen Gottesdienstformen, Transponier-Funktion Akkorde live in andere Tonart umrechnen, Kategorisierung nach Gottesdienstform klassische-Messe versus Jugendmesse versus Taizé-Andacht, Kapodaster-Empfehlung pro Lied und Sänger-Stimmlage, Strophen-und-Refrain-Struktur-Kennzeichnung, Neue-geistliche-Lieder-Sektion NGL zusätzlich zum klassischen Gesangbuch-Repertoire, persönliche Liedliste für kommende Gottesdienste zusammenstellbar, Schwierigkeitsgrad-Filter für Einsteiger-Gitarristen, Metronom-Tempo-Angabe pro Lied, Export als Liedblatt-PDF für die Band, Community-Beitrags-Mockup eigene Akkord-Sätze einreichen, GSAP Akkord-Wechsel-Hervorhebungs-Animationen - USE CASE: Bandmitglieder moderner Gottesdienstformen bereiten sich mit korrekten und transponierbaren Akkordsätzen vor, Jugendgottesdienst-Teams stellen passende Liedlisten für unterschiedliche Gottesdienstformen zusammen.\n\n88. **#388** — baue einen Adventskranz- und Kirchenjahr-Countdown - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Visueller Adventskranz mit vier Kerzen die entsprechend dem aktuellen Adventssonntag automatisch angezündet dargestellt werden, tägliche Adventsimpulse mit Bibelstelle und kurzer Besinnung, historische Erklärung der Adventskranz-Tradition seit Johann Hinrich Wichern, Weihnachts-Countdown mit theologischer Einordnung der Bedeutung des Wartens in der Heilsgeschichte, erweiterte-Kirchenjahr-Countdowns zu weiteren wichtigen Festen Ostern und Pfingsten, Familien-Adventskalender-Ergänzung mit geistlichen statt rein weltlichen Türchen-Inhalten, Rorate-Messen-Hinweis frühmorgendliche Adventsmessen mit Erklärung der Tradition, persönliches Adventstagebuch mit täglicher Notiz, Adventslieder-Verknüpfung passend zur Wochenimpuls, Kinderfreundlicher-Modus mit vereinfachter Sprache, GSAP Kerzenflammen-Anzünde-Animationen - USE CASE: Familien gestalten die Adventszeit bewusst als geistliche Vorbereitungszeit statt nur als Countdown zum Weihnachtsfest, Katecheten nutzen die App zur Vermittlung der Adventstradition an Kinder im Pfarreiunterricht.\n\n89. **#389** — erstelle eine Sammlung liturgischer Abendgesänge zur Vesper - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständige Vesper-Gesänge mit Hymnus/Psalmen/Magnificat für jeden Wochentag nach dem Stundengebet-Psalter, Magnificat-Vertonungen-Bibliothek gregorianisch und mehrstimmig zur Auswahl, feierliche-Vesper-Modus für Hochfeste mit erweitertem Gesangsteil, Kerzenlicht-Andachts-Atmosphäre mit gedämpfter Bildschirmgestaltung, historische Einführung zur Bedeutung der Vesper im Tagesablauf klösterlicher Gemeinschaften, Gemeinschafts-Gesangs-Modus mit Vorsänger-Kennzeichnung für gemeinsame Feier, Text-und-Noten-Anzeige-Synchronisation, Kirchenjahreszeit-Anpassung der Antiphonen automatisch, persönliche Andachts-Historie regelmäßig gebetete Vespern (ApexCharts Kalender-Heatmap), Offline-Verfügbarkeit für Klosterräume und Kirchen ohne Netz, GSAP sanfte Abenddämmerungs-Animationen - USE CASE: Klostergemeinschaften und Vesper-Gruppen in Pfarreien feiern das Abendgebet mit vollständig hinterlegten Texten und Gesängen, Gläubige vertiefen die persönliche Abendandacht durch die traditionsreiche Form der Vesper.\n\n90. **#390** — entwickle einen Kantorendienstplan mit Repertoire-Zuordnung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dienstplan-Kalender für Kantoren und Vorsänger über mehrere Gottesdienste hinweg, automatische Repertoire-Vorschläge passend zur jeweiligen Kirchenjahreszeit und den Tageslesungen, Verfügbarkeits-Abfrage-Funktion für eingetragene Kantoren, Vertretungs-Anfrage-Workflow bei Verhinderung mit Benachrichtigung an mögliche Vertretungen, Einsatz-Historie wer wann welches Repertoire gesungen hat zur besseren Verteilung, Übungsmaterial-Verweis pro zugewiesenem Dienst, Fairness-Statistik gleichmäßige Verteilung der Dienste über alle Kantoren (ApexCharts Balken), Sonderdienste-Kennzeichnung Hochfeste und Trauerfeiern gesondert vermerkt, Feedback-Sammlung nach jedem Dienst zur kontinuierlichen Verbesserung, Neue-Kantoren-Einarbeitungs-Checkliste, Export Dienstplan als druckbare Übersicht für die Sakristei, GSAP Dienstplan-Kalender-Animationen - USE CASE: Kirchenmusik-Verantwortliche koordinieren mehrere Kantoren über das Kirchenjahr gerecht und mit passendem Repertoire, Kantoren erhalten frühzeitig Klarheit über kommende Dienste samt vorbereitetem Übungsmaterial.\n\n## Kategorie 10: GEMEINDE- & PFARREI-MANAGEMENT (10 Prompts)\n\n91. **#391** — erstelle ein Pfarrei-Verwaltungstool für kleine Gemeindebüros - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrale Kontaktverwaltung für Gemeindemitglieder mit Sakramenten-Status Taufe/Erstkommunion/Firmung, Pfarrbüro-Aufgabenliste mit Fälligkeiten und Zuständigkeiten, Terminverwaltung für Kasualien Taufen/Trauungen/Beerdigungen mit Kalenderübersicht, Raumbelegungsplan für Pfarrsäle und Gemeinderäume, Dokumentenvorlagen-Bibliothek Taufschein/Firmbescheinigung-Mockup, Statistik-Dashboard Gemeindemitglieder-Entwicklung über Jahre (ApexCharts Line), Gremien-Übersicht Pfarrgemeinderat und Kirchenvorstand mit Mitgliederlisten, Kommunikations-Log wichtige Anfragen und deren Bearbeitungsstand, Jahresbericht-Generator für die Dekanatsebene, Kontaktverzeichnis externe Partner Caritas/Schulen/Kindergarten, GSAP Dashboard-Übersichts-Animationen - USE CASE: Pfarrsekretäre behalten in kleinen Gemeindebüros ohne teure Verwaltungssoftware den Überblick über alle laufenden Vorgänge, ehrenamtliche Gremienmitglieder erhalten transparenten Zugriff auf relevante Gemeindedaten für ihre Arbeit.\n\n92. **#392** — entwickle einen Dienstplan für Lektoren und Kommunionhelfer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rotationsplan für Lektoren- und Kommunionhelfer-Dienste über mehrere Wochen mit fairer Verteilung, Verfügbarkeits-Abfrage-Formular für alle eingetragenen Ehrenamtlichen, automatische Vorschlags-Zuteilung basierend auf Verfügbarkeit und letztem Diensttermin, Vertretungs-Tausch-Börse Ehrenamtliche tauschen Dienste untereinander mit Bestätigung, Lesungs-Vorbereitungs-Verweis direkt zur zugeordneten Perikope des jeweiligen Sonntags, Erinnerungs-Benachrichtigung vor dem eigenen Dienst, Einarbeitungs-Checkliste für neue Lektoren und Kommunionhelfer, Fairness-Statistik Diensthäufigkeit pro Person über das Jahr (ApexCharts Balken), Mehrere-Gottesdienstorte-Verwaltung bei Pfarreiengemeinschaften mit mehreren Kirchen, Sonderdienste-Kennzeichnung Hochfeste erfordern mehr Kommunionhelfer, Export Dienstplan für Aushang in der Sakristei, GSAP Dienstplan-Zuteilungs-Animationen - USE CASE: Pfarrbüros koordinieren die ehrenamtlichen Liturgiedienste über mehrere Kirchen einer Pfarreiengemeinschaft gerecht, Lektoren und Kommunionhelfer sehen frühzeitig ihre kommenden Dienste samt passender Lesungsvorbereitung.\n\n93. **#393** — programmiere ein Kollekten- und Spendenverwaltungstool - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Erfassung der Sonntagskollekten mit Zweckbindung Caritas/Weltmission/Baurücklage, Jahresübersicht Kollekteneinnahmen nach Zweck (ApexCharts Stacked Bar), Spendenquittungs-Generator-Mockup für steuerliche Zwecke bei größeren Einzelspenden, Sonderkollekten-Kalender kirchlich vorgegebene Zwecke wie Misereor und Adveniat termingerecht, Transparenzbericht-Generator für die Gemeinde wohin die Kollekten geflossen sind, Spendenaktions-Tracker für konkrete Projekte mit Zielsumme und Fortschrittsbalken, Vergleich Vorjahreskollekten zur Trendbeobachtung (ApexCharts Line), Bargeld-Zähl-Protokoll-Vorlage für die Kollektenzählung nach dem Vier-Augen-Prinzip, Spender-Datenschutz-Hinweis prominent eingebettet, Export Jahresabschluss für die Bistumsverwaltung, Erinnerungs-Funktion für anstehende Sonderkollekten, GSAP Spendenbalken-Fortschritts-Animationen - USE CASE: Kirchenvorstände dokumentieren Kollekteneinnahmen transparent und nachvollziehbar für die Gemeinde, Pfarreien mit konkreten Bauprojekten verfolgen den Spendenfortschritt öffentlich einsehbar für alle Gemeindemitglieder.\n\n94. **#394** — baue einen Pfarrei-Veranstaltungskalender mit Anmeldefunktion - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentraler Veranstaltungskalender für alle Gruppen der Pfarrei Jugendgruppe/Seniorenkreis/Chor/Bibelkreis, Anmeldefunktion mit Teilnehmerzahl-Begrenzung für Veranstaltungen mit Platzbedarf, Raumbelegungs-Abgleich um Terminkollisionen im Pfarrsaal zu vermeiden, Kategorien-Filter nach Zielgruppe Kinder/Jugend/Erwachsene/Senioren, wiederkehrende-Termine-Verwaltung wöchentliche Gruppenstunden automatisch eingetragen, Erinnerungs-Benachrichtigung vor angemeldeten Veranstaltungen, Absage-Funktion bei Verhinderung mit Nachrücker-Liste, Veranstaltungs-Feedback-Formular nach Durchführung, Export als Pfarrbrief-Terminübersicht, Öffentliche-versus-interne-Veranstaltungen-Kennzeichnung, Foto-Galerie-Mockup vergangener Veranstaltungen, GSAP Kalender-Ansichts-Animationen - USE CASE: Pfarreien mit vielen aktiven Gruppen vermeiden Terminkollisionen bei der Raumnutzung, Gemeindemitglieder finden und melden sich für passende Veranstaltungen zentral an statt in verstreuten Aushängen zu suchen.\n\n95. **#395** — erstelle ein digitales Sakramentenregister-Archiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbares digitales Archiv der Tauf-Firmungs-und-Eheregister als Ergänzung zu den physischen Kirchenbüchern, strukturierte Erfassung Name/Datum/Spender/Paten-beziehungsweise-Trauzeugen pro Eintrag, Volltextsuche nach Namen für Bescheinigungsanfragen, Verknüpfung zwischen verwandten Einträgen Taufe und spätere Firmung derselben Person, Sicherheits-und-Datenschutz-Hinweis sensible Personendaten bleiben ausschließlich lokal und verschlüsselt, Bescheinigungs-Generator-Mockup zum Ausdrucken für Antragsteller, Statistik-Dashboard Sakramentenzahlen über die Jahre (ApexCharts Line), Zugriffsprotokoll wer hat wann welchen Eintrag eingesehen für Nachvollziehbarkeit, Import-Funktion-Mockup zur Digitalisierung alter handschriftlicher Kirchenbücher, Jubiläums-Erinnerung goldene und diamantene Hochzeiten automatisch erkannt, Archivierungs-Richtlinien-Dokumentation nach kirchenrechtlichen Vorgaben, GSAP Archiv-Such-Animationen - USE CASE: Pfarrbüros finden Sakramenteneinträge für Bescheinigungsanfragen schnell statt in Papierregistern zu blättern, Pfarreien digitalisieren historische Kirchenbücher schrittweise ohne die kirchenrechtlich vorgeschriebene physische Aufbewahrung zu ersetzen.\n\n96. **#396** — entwickle ein Sitzungsverwaltungstool für den Pfarrgemeinderat - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sitzungsplanung mit Tagesordnungspunkten und zugewiesenen Verantwortlichen, Protokoll-Editor mit Beschlussfassungen und Abstimmungsergebnissen, Mitgliederverzeichnis mit Amtszeit und Ausschusszugehörigkeit, Beschluss-Tracking offene versus umgesetzte Beschlüsse über mehrere Sitzungsperioden (ApexCharts Balken), Ausschuss-Verwaltung Liturgie-Caritas-Jugend-Finanzen mit eigenen Unterprotokollen, Wahlperioden-Übersicht und anstehende Neuwahltermine, Dokumenten-Ablage-Mockup Satzung und Geschäftsordnung des Gremiums, Vorlagen-Bibliothek für wiederkehrende Tagesordnungspunkte, Anwesenheits-Tracking pro Sitzung, Erinnerungs-Benachrichtigung vor Sitzungsterminen an alle Mitglieder, Export Protokolle als durchsuchbares Jahresarchiv, GSAP Sitzungsablauf-Animationen - USE CASE: Pfarrgemeinderäte dokumentieren ihre Sitzungen und Beschlüsse nachvollziehbar über mehrere Wahlperioden hinweg, neue Ratsmitglieder verschaffen sich durch das Archiv schnell Überblick über frühere Entscheidungen und deren Umsetzungsstand.\n\n97. **#397** — programmiere eine Rotations-App für den Ministrantendienstplan - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Dienstplan-Rotation für Ministranten über mehrere Wochen und Gottesdienstformen Sonntagsmesse/Werktagsmesse/Sonderfeiern, Verfügbarkeits-Abfrage für Ministranten und ihre Erziehungsberechtigten, faire-Verteilung-Algorithmus unter Berücksichtigung von Schule und Freizeitaktivitäten, Rollen-Zuweisung pro Dienst Kreuzträger/Kerzenträger/Thuriferar/Buchträger, Tausch-Börse für Ministranten bei Terminkonflikten mit Bestätigungspflicht der Eltern, Erinnerungs-Benachrichtigung am Vorabend des eigenen Dienstes, Einsatz-Statistik pro Ministrant über das Jahr zur gerechten Verteilung (ApexCharts Balken), Neue-Ministranten-Einarbeitungs-Kennzeichnung noch nicht für alle Rollen freigegeben, Geburtstags-und-Jubiläums-Erinnerung für langjährige Ministranten, Sonderdienste-Kennzeichnung Hochfeste und Kasualien mit höherem Bedarf, Export Dienstplan für Aushang in der Sakristei, GSAP Dienstplan-Rotations-Animationen - USE CASE: Küster und Ministrantenleiter koordinieren viele jugendliche Ministranten über wechselnde Verfügbarkeiten hinweg gerecht, Eltern und Ministranten sehen frühzeitig kommende Dienste und können rechtzeitig Vertretung organisieren.\n\n98. **#398** — baue ein Redaktionstool für den Pfarrbrief - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Redaktionsplan mit Themen und Autoren-Zuweisung pro Ausgabe, Rubriken-Struktur Termine/Berichte/Predigtgedanken/Gruppenvorstellung konsistent über Ausgaben hinweg, Artikel-Entwurf-Editor mit Wortzahl-Anzeige für die Layoutplanung, Redaktionsschluss-Countdown pro Ausgabe mit Erinnerungen an Autoren, Bild-Platzhalter-Verwaltung mit Bildrechte-Checkliste, Terminkalender-Auszug automatisch aus dem Pfarrei-Veranstaltungskalender übernommen, Korrekturlese-Workflow mit Kommentarfunktion vor Drucklegung, Ausgaben-Archiv durchsuchbar für Rückblicke, Auflagen-und-Verteilungs-Tracking wie viele Exemplare an welche Verteilstellen, Leser-Feedback-Formular-Mockup, Vorlagen-Bibliothek für wiederkehrende Formate Adventsausgabe und Osterausgabe, GSAP Redaktionsplan-Animationen - USE CASE: Pfarrbrief-Redaktionsteams koordinieren mehrere ehrenamtliche Autoren mit klaren Fristen und Zuständigkeiten, Pfarreien mit regelmäßigem Pfarrbrief behalten den Überblick über Themenplanung über mehrere Ausgaben im Voraus.\n\n99. **#399** — erstelle ein Koordinationstool für Ehrenamtliche in der Pfarrei - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrales Verzeichnis aller Ehrenamtlichen mit Engagement-Bereich Liturgie/Caritas/Jugend/Verwaltung, Kompetenz-und-Interessen-Profil pro Ehrenamtlichem für passende Einsatzvorschläge, Neue-Ehrenamtliche-Onboarding-Checkliste mit Ansprechpartner-Zuordnung, Engagement-Historie wie lange und in welchen Bereichen jemand bereits tätig ist, Wertschätzungs-Erinnerung Dankschreiben oder Ehrenamtsfeier-Termine, Schulungsnachweis-Tracking verpflichtende Präventionsschulungen im Kinderschutz mit Ablaufdatum, offene-Engagement-Möglichkeiten-Übersicht wo aktuell Unterstützung gesucht wird, Stunden-Erfassung-Mockup freiwillig für den eigenen Überblick, Kommunikations-Verteiler nach Engagement-Bereich für gezielte Ankündigungen, Nachfolge-Planung frühzeitige Suche nach Nachfolgern für zentrale Rollen, Statistik-Dashboard Ehrenamts-Struktur der Pfarrei (ApexCharts Donut), GSAP Profil-Karten-Animationen - USE CASE: Pfarreien behalten den Überblick über ihre oft hunderte Ehrenamtlichen und deren jeweilige Schulungsstände, neue Freiwillige finden über die Interessens-Profile schneller einen zu ihnen passenden Engagement-Bereich.\n\n100. **#400** — entwickle eine Friedhofsverwaltung für die Pfarrei-eigene Begräbnisstätte - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitales Grabregister mit Grabnummer/Belegungsstatus/Nutzungsrecht-Ablaufdatum, Lageplan-Visualisierung des Friedhofs mit anklickbaren Grabfeldern (D3.js), Nutzungsrecht-Verlängerungs-Erinnerung rechtzeitig vor Ablauf an die Angehörigen, Grabpflege-Verantwortlichkeits-Zuordnung wer ist für welches Grab zuständig, Gebühren-Übersicht Grabnutzungsgebühren und deren Zahlungsstatus, Bestattungstermin-Kalender mit Koordination von Priester/Küster/Bestatter, historische-Gräber-Kennzeichnung denkmalgeschützte oder besonders alte Grabstätten gesondert markiert, Allerseelen-Vorbereitungs-Checkliste jährliche Gräbersegnung organisieren, Freie-Grabstellen-Übersicht für Vorausplanungen von Gemeindemitgliedern, Angehörigen-Kontaktverwaltung pro Grabstelle, Export Friedhofsplan als PDF für die Verwaltung, GSAP Lageplan-Zoom-Animationen - USE CASE: Pfarreien mit eigenem Friedhof verwalten Belegung und Nutzungsrechte transparent statt in Papierakten, Angehörige erhalten rechtzeitige Erinnerung vor Ablauf des Nutzungsrechts eines Familiengrabes statt eine böse Überraschung zu erleben.\n\n=== ENDE - 100 RELIGIÖS-SPIRITUELLE HTML5 APP-PROMPTS (BATCH 4) ===\n\n## Hinweis\nQuelle: erstellt für Batch 4 auf Basis realer Projektnamen aus dem eigenen HTML-MD-EXPORT-Archiv — ANGELUS, ROSENKRANZ und HTML-BACKUP (Kreuzweg-Andacht) für Kategorie 1, kath-ki, messandacht (tridentinische Messandacht) und liturgie-1 (Ritenvergleich) für Kategorie 2 und 14, kempis (De Imitatione Christi) als Vorbild für die Gebets- und Andachtsprompts, summa (scholastisches Glossar) direkt als Vorlage für #362, koran-bibel-erweiterte-analyse und nostra-aetate-analyse als Vorlage für Kategorie 4, sowie die Buchidee „orbitron-maps — 3.500 km zu Fuß\" als Vorlage für #371. Kategorie 5 zieht die direkte Sicherheitslehre aus dem im eigenen Bestand dokumentierten Fund bei kathbot31 und kathbottts (hartcodierter, clientseitig sichtbarer OpenAI-Key) — jeder der zehn Prompts in dieser Kategorie verlangt ausdrücklich eine serverseitige Proxy-Architektur ohne clientseitigen API-Key, exakt so wie es kathsafe6 als sichere Variante bereits korrekt umgesetzt hat. Der Ton bleibt über alle 100 Prompts hinweg respektvoll und theologisch/liturgisch fundiert — als echtes Werkzeug für gläubige Nutzer und interreligiösen Dialog, nicht als Satire.\n",
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        "overview": "ORBITRON / LeMarché — Projekt- und Agentenhandbuch Dieses Dokument ist die operative Quelle der Wahrheit für Menschen und Agents, die dieses Repl lesen, reproduzieren, reparieren oder erweitern. Es beschreibt den beobachteten Stand des Workspaces, die bewusst gewählten Grenzen und die Prompt-Verträge für sichere Weiterentwicklung. > **Wichtige Einordnung:** Das Projekt ist primär eine statische Sammlung von > standalone HTML-Workshells. Es ist kein klassischer React-/Node-Monorepo und > besitzt im aktuellen Workspace keinen eigenen Application-Server. Einige > HTML-Apps rufen bewusst externe, serverseitig geschützte Replit-Proxies auf. --- 1. Mission und Produktmodell ORBITRON bündelt mehrere Arbeitsflächen für Marktbeobachtung, Trading, Fintech, Budget, Recherche, Conversational AI und Vibe Coding. Die zentrale Produktidee ist nicht „ein riesiger Chatbot“, sondern eine sichtbare Trennun",
        "content": "ORBITRON / LeMarché — Projekt- und Agentenhandbuch\nDieses Dokument ist die operative Quelle der Wahrheit für Menschen und Agents, die\ndieses Repl lesen, reproduzieren, reparieren oder erweitern. Es beschreibt den\nbeobachteten Stand des Workspaces, die bewusst gewählten Grenzen und die\nPrompt-Verträge für sichere Weiterentwicklung.\n> **Wichtige Einordnung:** Das Projekt ist primär eine statische Sammlung von\n> standalone HTML-Workshells. Es ist kein klassischer React-/Node-Monorepo und\n> besitzt im aktuellen Workspace keinen eigenen Application-Server. Einige\n> HTML-Apps rufen bewusst externe, serverseitig geschützte Replit-Proxies auf.\n---\n1. Mission und Produktmodell\nORBITRON bündelt mehrere Arbeitsflächen für Marktbeobachtung, Trading,\nFintech, Budget, Recherche, Conversational AI und Vibe Coding. Die zentrale\nProduktidee ist nicht „ein riesiger Chatbot“, sondern eine sichtbare Trennung\nzwischen:\ndeterministischen Markt- und Rechenwerkzeugen,\nkonversationellen AI-/LLM-Apps,\nDesktop-/Workshell-Navigation,\nreproduzierbaren Handoffs und Verifikationen.\nDie wichtigste Vertrauensregel lautet:\n> Ein EOD-/Marktdaten-Proxy oder ein regelbasiertes Analysemodul ist kein LLM.\n> Eine generierte Interpretation ist keine verifizierte Markttatsache.\nLeitbild\n```text\nQuestion\n  → route to the correct surface\n  → inspect supplied evidence\n  → calculate or generate\n  → verify important claims\n  → record uncertainty\n  → hand off the next action\n```\nProduktnamen und Rollen\nBereich\tRolle\tGrundregel\nLeMarché Core\tdeterministische Markt-, Chart-, Quant- und Risiko-Tools\tkeine Chatbot-/LLM-Oberfläche\nOrbitron Chat Workshell\tgetrennte Chat- und LLM-Module\tKonversation und Ticker-/Chat-Workflows\nGoldShield\tConversational-AI- und Command-Desktop\tAI-Antworten mit Evidence- und Verify-Schritt\nDaniel.AI\tResearch-/Chart-/News-/Function-Lab-Fläche\treproduzierbare Daten- und Function-Verträge\nWOLTY\tTrading und Budget\tgetrennte Trading- und Budget-Einstiege\nORBITRON VIBE CODING\tPair-Programming-Workbench\tIdee → Spezifikation → Code → Prüfung → Handoff\nCorporate Desktop\tbreiter, source-basierter Katalog\tvollständiger Katalog bleibt von kuratierten Einstiegen getrennt\n---\n2. Runtime, Deployment und Start\nTatsächlicher Stack\nSchicht\tAktueller Stand\nFrontend\tVanilla HTML, CSS und JavaScript\nServer für Entwicklung\tPython `http.server`\nVerfügbare Replit-Module\t`python-base-3.13`, `nodejs-24`\nPackage Manager\tkein `package.json`, keine npm-Abhängigkeit im Workspace erforderlich\nWorkflow\t`Start application`\nStartkommando\t`python3 -m http.server 5000 --bind 0.0.0.0 --directory .`\nExterner Port\tlokaler Port `5000`, Replit-Webview über Port `80`\nDeployment\tstatisches Deployment, `publicDir = \".\"`\nBackend im Repl\taktuell nicht vorhanden\nDatenbank im Repl\taktuell nicht verwendet\nAuthentifizierung\taktuell keine eigene Auth-Schicht im Workspace\n`.replit`\n`.replit` definiert:\ndie Python- und Node-Runtime,\ndas Workspace-Workflow-Paar `Project` und `Start application`,\nden Port `5000`,\nden statischen Deployment-Typ,\nden Projekt-Root als öffentliches Verzeichnis.\nÄndere Workflow- oder Deployment-Einstellungen nicht beiläufig. Eine Änderung\ndes Startkommandos, Ports oder `publicDir` beeinflusst die Preview und das\nstatische Deployment des gesamten Projekts.\nLokal starten\n```bash\npython3 -m http.server 5000 --bind 0.0.0.0 --directory .\n```\nDanach sind zum Beispiel erreichbar:\n```text\n/index.html\n/orbitron-LEMARCHE-workshell.html\n/Orbitron-GOLDSHIELD-desktop.html\n/ORBITRON-VIBE-CODING.html\n/ORBITRON-DOCUMENTATION.html\n```\nFür Replit-Preview und Browser-Checks immer den konfigurierten Workflow\nverwenden. In Anwendungscode wird kein `localhost` hartkodiert; für interne\nLinks gilt die bestehende Projektkonvention weiter unten.\n---\n3. Repository-Inventar\n3.1 Root-Einstiege\nDatei\tZweck\n`index.html`\tzentraler Orbitron-/LeMarché-Einstieg mit Workshell-, Intelligence- und WOLTY-Karten\n`orbitron-LEMARCHE-workshell.html`\tdeterministische LeMarché-Workshell mit Sidebar, Tabs und Core-/0-VOLUMEN-Modulen\n`Orbitron-Desktop.html`\tneuraler Orbitron-Desktop, ältere/alternative Desktop-Familie\n`Orbitron-Corporate-desktop.html`\tCorporate Source Matrix Desktop mit source-basiertem Katalog\n`ORBITRON-REAL.html`\tkuratierter Corporate Desktop\n`Orbitron-GOLDSHIELD-desktop.html`\tmonolithischer GoldShield Neural Command Desktop\n`ORBITRON-VIBE-CODING.html`\tstandalone Redline Desktop mit eingebettetem Katalog und internem Vibe-Coding-Bot\n`Orbitron-CHAT.html`\tumfangreiche Chat-/Gemini-Referenz und Conversational Workspace\n`Orbitron-CHAT-WORKSHELL.html`\tseparater Einstieg für aktive Chat-/LLM-Module\n`ORBITRON-DOCUMENTATION.html`\tinteraktive Dokumentation, Runbooks, Agent Contract und Prompt Library\n`Daniel-AI.html`\tDaniel.AI Tradebot mit News, Chart Intelligence, RAG-/Function-Lab-Mustern\n`Daniel-COMMANDO.html`\tUtility-Terminal mit mehreren AI-/Analyse- und Render-Werkzeugen\n`NEWSFLOW.html`\tNews- und Sentiment-orientierte Oberfläche\n`GOLD-WOLTY.html`\tWOLTY Trading, Markt- und Trading-Workflows\n3.2 Geteilte Root-Assets\nDatei\tVertrag\n`orbitron-desktop-guide.css`\tgemeinsame Overlay-/Guide-Stile für Desktop-Flächen\n`orbitron-desktop-guide.js`\tOnboarding, Inventory, Personas, Handoffs, Best Practices und Guide-Aktionen\n`orbitron-prompt-library.js`\tprovider-neutrale Prompt Library für Market Brief, Chart Review, News, Trading Plan, Extraction, Budget und Handoff\n`orbitron-corporate-catalog.js`\tgroßer, source-basierter Corporate-Katalog mit externen absoluten `href`-Zielen\n`orbitron-manifest.webmanifest`\tinstallierbare Orbitron-PWA-Metadaten\n`orbitron-icon.svg`\tPWA-/Dokumentations-Icon\n`service-worker.js`\tminimaler Lifecycle-Worker; API-Antworten werden nicht gecacht\n`smoke_test_llm_apps.py`\tsicherer HTTP-/HTML-/Proxy-Smoke-Test ohne gültige Model-Anfrage\n`HREFS.txt`\texportiertes Referenzinventar externer Links; kein Runtime-API-Vertrag\n`.replit`\tRuntime, Workflow, Port und Deployment\n3.3 LeMarché-Add-ons\nVerzeichnis: `0-LeMarche-addons/`\nAktueller beobachteter Umfang:\n67 aktive HTML-Dateien außerhalb von `_archive`\n4 archivierte HTML-Prototypen in `0-LeMarche-addons/0-VOLUMEN/_archive/`\n73 Dateien insgesamt im Add-on-Verzeichnis inklusive nicht-HTML-Dateien\n36 HTML-Dateien direkt auf Add-on-Ebene\n31 Dateien im `0-VOLUMEN`-Bereich, inklusive Suite-Einstieg und Untermodulen\nDie aktiven Add-ons sind nach Arbeitszweck organisiert:\nCore-/Top-Level-Tools\nUnter anderem:\n`LeMarche-WORKSHELL.html`\n`LeHOME.html`\n`BREAKOUT-SCANNER.html`\n`BROKER-AI.html`\n`charts-bot.html`\n`DENARIUS.html`\n`KEIKIN-ASHY.html`\n`LAVERAGE-BOT.html`\n`LeFIBONACCI.html`\n`LETREND.html`\n`LEVIEW.html`\n`L´INTRADAY.html`\n`MEAN-REVERSION.html`\n`MTF-ANALYSE.html`\n`NEURAL-FUNDS.html`\n`orderbook_fixed.html`\n`PSYCHO-LEVELS.html`\n`public-index-crypto.html`\n`ROBO-ADVISOR.html`\n`RS-SCREENER.html`\n`SEKTOR-ROTATION.html`\n`SIZE.html`\n`STOP-MANAGER.html`\n`TEMPO-TRADER.html`\n`TICKER.html`\n`TICKER-PRO.html`\n`TREND-MATRIX.html`\n`VAULTY.html`\n`GOLD-VAULTY (3).html`\n`GOLDSHIELD-YAHOO.html`\n`INSIDER-RADAR.html`\n`COIN-TOSS.html`\nweitere Analyse- und Utility-Seiten\n`0-VOLUMEN`\nUnterbereich\tInhalt\n`01-volume-indicators/`\tA/D, CMF, MFI, OBV, PVO, VWAP, VPVR, VWAP-Bänder und weitere Volumenindikatoren\n`02-regime-detection-ml/`\tGaussian HMM, Markov Regime, Isolation Forest, K-Means Liquidity\n`03-options-stochastic-models/`\tBlack-Scholes, Delta Hedging, Heston, Implied PDF/Tail Risk\n`04-portfolio-index-engine/`\tIndex Calculation, Weighting, Volatility Targeting, Analytics, Monte Carlo, Market Impact, Black-Litterman, Compliance, State Allocation, Walk-Forward\n`index.html`\tSuite-Einstieg\n`MEGA-VOLUME.html`\tkonsolidierte Volume-/Quant-Arbeitsfläche\n`_archive/`\thistorische Gemini-Code-Prototypen; nicht als aktive Runtime behandeln\nArchivierte oder historische Dateien dürfen nicht ungefragt in den aktiven\nKatalog zurückgeführt werden. Erst Verhalten, Abhängigkeiten und Nutzwert\nprüfen, dann bewusst kuratieren.\n3.4 Attached Assets\n`attached_assets/` enthält Nutzerreferenzen, Screenshots und eingefügte\nHTML-/Text-Dumps. Diese Dateien sind Recherche- und Vergleichsmaterial, keine\nautomatischen Runtime-Abhängigkeiten. Ein Agent darf daraus Anforderungen\nableiten, soll aber nicht ungeprüft externe Codefragmente importieren.\n---\n4. Architektur und Zuständigkeiten\n4.1 Ebenenmodell\n```text\nindex.html\n  ├─ Orbitron LeMarché Workshell\n  ├─ Orbitron Chat Workshell\n  ├─ GoldShield / Intelligence\n  ├─ Daniel.AI / Commando\n  └─ WOLTY Trading\n\nLeMarché Core\n  ├─ deterministic market-data modules\n  ├─ chart and indicator modules\n  ├─ quant / stochastic / portfolio modules\n  └─ risk / sizing / stop modules\n\nAI layer\n  ├─ Orbitron-CHAT.html\n  ├─ GoldShield apps\n  ├─ Daniel.AI / Daniel-COMMANDO\n  ├─ Ticker Pro / Gold Vaulty / Vaulty\n  └─ WOLTY conversational routes\n\nVibe layer\n  ├─ embedded catalog\n  ├─ internal coding bot\n  ├─ Monaco editor\n  ├─ restricted preview iframe\n  └─ HTML/TXT/session export\n```\n4.2 Standalone vs. Desktop-Wrapper\nEs gibt zwei zulässige Muster:\nA. Echte monolithische Standalone-App\nEine Datei enthält die benötigte UI, die Engine und die Interaktion direkt.\nDas gilt insbesondere für:\n`Orbitron-GOLDSHIELD-desktop.html`\n`ORBITRON-VIBE-CODING.html`\nautonome Analyse-Add-ons\nEine monolithische Datei darf externe CDN-Ressourcen nutzen, wenn das\nbeabsichtigt und mit Fallback/Fehlerzustand versehen ist. Sie darf aber nicht\nstill auf nicht vorhandene `../../shared`-Dateien oder einen versteckten\nKatalog-Download angewiesen sein.\nB. Desktop mit kontrollierten IFrames\nEin Desktop darf externe oder lokale Module in Fenstern öffnen, wenn:\nder Quellpfad sichtbar bleibt,\ndas Modul in einem eigenen Fenster/Tabsurface bleibt,\nder Desktop nicht unkontrolliert den Inhalt des Moduls manipuliert,\nReload, Close, Minimize und Maximize funktionieren,\nexterne Navigation bewusst kenntlich ist.\nDie Desktop-Wrapper-Logik ist Navigation, nicht automatisch eine gemeinsame\nApplication-State-Schicht.\n4.3 Nicht vermischen\nLeMarché Core wird nicht durch Chat-UI oder LLM-Antworten „aufgewertet“.\nGoldShield darf Core-Tools zur Verifikation öffnen, ersetzt sie aber nicht.\nDer Vibe-Bot ist direkt in `ORBITRON-VIBE-CODING.html` eingebettet.\nDer Vibe-Bot verwendet keinen externen Katalog und keine zusätzliche Bot-Datei.\nEine externe Chat-API wird nicht als lokale deterministische Berechnung\nausgegeben.\n---\n5. Routing- und Link-Konventionen\nInterne Orbitron-Links sind im aktuellen Projekt möglichst absolut verdrahtet,\ntypischerweise gegen:\n```text\nhttps://orbitron-marche.replit.app/\n```\nDas macht Links in veröffentlichten oder eingebetteten Desktops stabiler. Bei\nneuen Links:\nexistierende Namens- und URL-Konvention prüfen,\nURL auf tatsächliche Datei/Route prüfen,\nbei internem Orbitron-Ziel den absoluten Projektpfad verwenden,\nbei externem Ziel Host und Zweck sichtbar halten,\nniemals einen Link nur aus einem alten Dump kopieren, ohne ihn zu prüfen.\nEinige Kataloge enthalten absichtlich externe Projekte, zum Beispiel\n`nice-watchliste.replit.app`, `markov-trading.replit.app`,\n`mcp-server-domusaureaopn.replit.app` oder andere Replit-Domains. Diese sind\nReferenz-/Produktgrenzen, keine lokalen Dateien.\nBei Pfaden mit Leerzeichen, Akzenten oder Apostrophen muss URL-Encoding\nerhalten bleiben. Nicht aus Bequemlichkeit in Dateinamen oder Links umbenennen.\n---\n6. AI-, Daten- und Proxy-Verträge\n6.1 Kein Credential im Browser\nDer Browser darf keine API-Keys, Tokens, Passwörter, privaten Schlüssel oder\nSecrets enthalten. Keine Credentials:\nin HTML,\nin Inline-JavaScript,\nin `localStorage`,\nin Prompts,\nin Screenshots,\nin Beispieldiffs,\nin Logs oder Exportdateien.\nWenn eine neue Serverfunktion nötig ist, erst die Replit-Integration- und\nSecrets-Konvention prüfen. Niemals den Benutzer bitten, ein Secret in den Chat\noder in eine HTML-Datei zu kopieren.\n6.2 Gemini Interactions: Vibe Coding\n`ORBITRON-VIBE-CODING.html` verwendet den serverseitig geschützten Proxy:\n```text\nPOST https://glow-up-gemini.replit.app/gemini/interactions\n```\nAktueller Modell- und Request-Vertrag:\n```json\n{\n  \"model\": \"gemini-3.1-flash-lite\",\n  \"input\": [\n    {\n      \"type\": \"user_input\",\n      \"content\": [{ \"type\": \"text\", \"text\": \"...\" }]\n    }\n  ],\n  \"system_instruction\": \"...\",\n  \"generation_config\": {\n    \"max_output_tokens\": 8192,\n    \"temperature\": 0.32\n  },\n  \"stream\": true\n}\n```\nDie Streaming-Antwort wird als SSE verarbeitet. Relevante Events:\n```text\nevent_type === \"step.delta\"\ndelta.type === \"text\"\ndelta.text\n```\nNicht jedes SSE-Event ist Text. Unbekannte, leere oder malformed Events werden\nnicht als Bot-Text erfunden. Bei fehlendem Response-Body oder nicht erfolgreichem\nHTTP-Status muss ein sichtbarer Fehler entstehen.\n6.3 Chat- und Datenpfade\nDer Chat-Stack und mehrere Referenz-Apps nutzen Proxy-Routen, unter anderem:\n```text\nhttps://glow-up-gemini.replit.app/api/chat\nhttps://glow-up-gemini.replit.app/claude/messages\nhttps://glow-up-gemini.replit.app/mistral/chat\nhttps://glow-up-gemini.replit.app/api/embeddings\nhttps://glow-up-gemini.replit.app/gemini/interactions\n```\nMarktdaten-/News-Pfade sind getrennt, unter anderem:\n```text\nhttps://theserver-open-ai.replit.app/eod/news\nhttps://theserver-open-ai.replit.app/eod/realtime/{SYMBOL}\nhttps://glow-up-gemini.replit.app/eod/historical/{SYMBOL}\n```\nDiese Liste beschreibt den beobachteten Projektvertrag, nicht eine Garantie für\ndie Verfügbarkeit externer Dienste. Bei einem Fehler muss die UI den Provider,\nRoute und HTTP-/Parsing-Zustand kenntlich machen.\n6.4 Marktdaten sind Evidence, nicht Interpretation\nEin Modul darf sagen:\n„Der Proxy liefert Daten für AAPL.“\n„Der berechnete RSI liegt bei X, aus den gelieferten Kerzen berechnet.“\n„Die Antwort enthält diese Headline.“\nEin Modul darf nicht ohne zusätzliche Evidence sagen:\n„Der Markt wird steigen.“\n„Der Proxy denkt …“\n„Das LLM hat diese News bestätigt“, wenn nur EOD-Daten vorliegen.\n„Tests bestanden“, wenn kein Test ausgeführt und nachgewiesen wurde.\n---\n7. Vibe-Coding-Workbench: verbindliches Inventar\n`ORBITRON-VIBE-CODING.html`\nDiese Datei ist die einzige Produktionsdatei für den aktuellen Vibe-Coding-\nDesktop. Sie enthält:\nRedline Desktop-Shell und Taskbar,\neingebettetes `window.ORBITRON_VIBE_CATALOG`,\ninterne Bot-ID `vibe-coding-bot`,\nExplorer mit Kategorien, Suche und Grid/List-Ansicht,\nDesktop-Fenster mit Drag/Resize/Minimize/Maximize/Close,\n`openTool()` für interne und externe Module,\n`openVibeBot()` für das interne Bot-Fenster,\nDeep-Link `#vibe-coding-bot`,\nGemini-Interactions-Proxy,\nSSE-Streaming,\nChat-Verlauf mit LocalStorage,\nModuswahl `Architect`, `Build`, `Debug`, `Review`, `Prompt Lab`,\nUtilities `Build Brief`, `Architecture Map`, `Debug Protocol`,\n`Code Review`, `Standalone Check`,\nEvidence-first-System-Prompt,\nSnippet-Extraktion aus Markdown-Codeblöcken,\nMonaco Editor, lazy geladen,\nTextarea-Fallback, wenn Monaco nicht lädt,\nlokale Autospeicherung des Snippets,\nHTML-/TXT-/JSON-Export,\neingeschränkte `srcdoc`-Preview,\nExplain/Improve/Tests/Review gegen den aktuellen Snippet,\nToggle für die Editor-/Utility-Sidecar-Bar.\nVibe-State\nDer Runtime-State lebt im Objekt `vibeBot`. Der persistente Schlüssel lautet:\n```text\norbitron-vibe-coding-bot-session-v1\n```\nPersistiert werden dürfen nur nicht-sensitive Arbeitsdaten:\nModus,\nmaximal begrenzter Chat-Verlauf,\nSidebar-Zustand,\naktueller Code,\nSprache,\nmaximal begrenzte extrahierte Snippets.\nNicht speichern:\nCredentials,\nprivate Benutzerdaten,\nunredigierte externe Secrets,\nunkontrolliert anwachsende Logs,\nserverseitige Providerantworten ohne Begrenzung.\nEditor- und Preview-Grenzen\nMonaco wird lazy über eine gepinnte CDN-Version geladen. Der Fallback bleibt\nverfügbar. Bei jedem Rerender darf keine alte Monaco-Instanz oder Model-Leak\nentstehen.\nDie Preview verwendet bewusst:\n```html\nsandbox=\"allow-scripts\"\nreferrerpolicy=\"no-referrer\"\n```\nEs werden nicht erlaubt:\n`allow-same-origin`,\nParent-Zugriff,\nFormulare,\nPopups,\nautomatische Top-Navigation,\nimplizites Vertrauen in generierten Code.\nNicht behaupten, dass die Preview sicher für beliebigen produktiven Code ist.\nSie ist eine eingeschränkte Sichtprüfung, kein Security-Sandbox-Ersatz.\n---\n8. GoldShield-, Chat- und Guide-Verträge\nGoldShield\n`Orbitron-GOLDSHIELD-desktop.html` ist ein echter monolithischer Desktop. Er\nenthält die Desktop-Engine direkt und ist kein dünner IFrame-/Fetch-Wrapper.\nWichtige Eigenschaften:\nneuraler Desktop mit Fenster- und Taskbar-Modell,\nkuratierte Shortcuts,\nExplorer,\nabsolute Source-Adressen,\nThemen-/Matrix-Modi,\nNewsflow-/Trading-/RAG-/Command-Flächen über verlinkte Module,\nGuide-Overlay,\nlokale UI-Zustände,\nkontrollierte IFrame-Module für externe Apps.\nBei Änderungen an GoldShield die bestehende stabile Render-Strategie erhalten:\nIFrames nicht bei jedem Desktop-Render unnötig ersetzen. Fensterzustand,\nNavigation und Theme-Zustand voneinander trennen.\nChat Workshell\n`Orbitron-CHAT-WORKSHELL.html` ist absichtlich eine zweite Workshell. Dort\nliegen Module mit aktiver Chat-/LLM-Verbindung. Die LeMarché-Workshell soll\ndiese Module nicht wieder als Core-Tools ausgeben.\nShared Desktop Guide\n`orbitron-desktop-guide.js` exportiert:\n```js\nwindow.orbitronGuide = {\n  open,\n  close,\n  setPersona\n}\n```\nDer Guide unterstützt:\n`user`, `agent` und `sales` als Arbeitslinsen,\nLeMarché-, GoldShield- und Corporate-Scope,\nInventory,\nOnboarding,\nBenefits,\nFeature Map,\nBest Practices,\nAgent Contract,\nPrompt Library,\nCopy-Aktionen,\nÖffnen von Explorer/Modulen.\nDer Guide ist keine zweite Business-Logik. Er erklärt und routet die bereits\nvorhandene Workshell.\nPrompt Library\n`orbitron-prompt-library.js` exportiert:\n```js\nwindow.ORBITRON_PROMPT_LIBRARY\nwindow.ORBITRON_PROMPT_LANES\n```\nDie Prompts sind provider-neutral. Sie müssen Evidence, Annahmen,\nUnsicherheit und Output-Format sichtbar machen. Bei Erweiterungen lieber einen\nneuen klar benannten Prompt-Lane-Eintrag ergänzen als unstrukturierte\n„magic prompts“ in mehreren HTML-Dateien zu duplizieren.\n---\n9. Prompt Engineering für Reproduktion und Ausbau\n9.1 Universeller Agentenvertrag\nJeder Agent, der dieses Projekt bearbeitet, soll Antworten und Handoffs nach\nfolgendem Schema strukturieren:\n```text\nINTENT\n- Was soll sich für wen ändern?\n- Welche Oberfläche und welches Ergebnis sind gemeint?\n\nINPUTS\n- Relevante Dateien\n- beobachtete Runtime\n- vorhandene APIs / Routen\n- Constraints\n- explizite Annahmen\n\nEVIDENCE\n- Was wurde tatsächlich im Workspace gefunden?\n- Was wurde tatsächlich ausgeführt?\n- Welche Quelle oder Datei belegt die Aussage?\n\nPLAN\n- kleinste reversible Änderung\n- betroffene Dateien\n- Akzeptanzkriterien\n\nIMPLEMENTATION\n- konkrete Änderungen\n- keine erfundenen Dateien oder APIs\n\nVERIFICATION\n- Syntax\n- Workflow / HTTP\n- Browser / Preview\n- Feature-spezifische Checks\n\nUNCERTAINTY\n- offene Fragen\n- externe Abhängigkeiten\n- nicht nachgewiesene Behauptungen\n\nNEXT ACTION\n- genau ein sinnvoller nächster Schritt\n- Approval nötig: ja/nein\n```\n9.2 Prompt: Projekt reproduzieren\n```text\nDu bist ein Senior-Reverse-Engineer für das ORBITRON-/LeMarché-Projekt.\nReproduziere die bestehende Funktion, ohne das Projekt in ein anderes\nFramework zu migrieren.\n\nZIEL:\n[genaue Zieloberfläche und gewünschter Zustand]\n\nARBEITE IN DIESER REIHENFOLGE:\n1. Inventarisiere zuerst nur die relevanten Dateien und echten Einstiegspunkte.\n2. Lies die bestehende Struktur, Styles, State-Objekte, Links und API-Routen.\n3. Trenne deterministische Module, Chat-/LLM-Module und Desktop-Navigation.\n4. Formuliere den kleinsten Build mit sichtbaren Akzeptanzkriterien.\n5. Implementiere in der vorhandenen Architektur.\n6. Prüfe Syntax, HTTP-Start, Browser-Console und die konkrete Interaktion.\n\nCONSTRAINTS:\n- Keine erfundenen Shared-Dateien.\n- Keine neue Bot-Datei, wenn die Funktion in der Standalone-Datei bleiben muss.\n- Keine Credentials im Browser.\n- Keine stillen Fallbacks, die Fehler als Erfolg ausgeben.\n- Keine Behauptung ausgeführter Tests ohne Evidence.\n- Bestehende funktionierende Features bleiben erhalten.\n\nANTWORTFORMAT:\nIntent → Inputs → Evidence → Plan → Implementation → Verification →\nUncertainty → Next Action\n```\n9.3 Prompt: Standalone-Desktop nachbilden\n```text\nBaue eine standalone Orbitron-Desktop-Oberfläche in genau der vorhandenen\nHTML-Datei. Sie soll ohne lokale Shared-Imports, ohne externen Katalog-Download\nund ohne zusätzliche Bot-Datei funktionieren.\n\nERFORDERLICH:\n- vollständige Desktop-Shell,\n- Fenster mit Titlebar, Adresse, Reload, Minimize, Maximize und Close,\n- sichtbare Shortcut-Kategorien,\n- Suche und Explorer,\n- absolute interne Projektlinks nach bestehender Konvention,\n- lokale UI-State-Verwaltung,\n- klare mobile Degradation,\n- sichtbare Fehlerzustände,\n- zugängliche Labels und Keyboard-Fokus,\n- kein Emoji-UI.\n\nFÜR INTERNE MODULE:\n- intern direkt rendern, wenn der Desktop eigene Kontrolle braucht;\n- externe Module nur über kontrollierte IFrames öffnen;\n- Source-Adresse im Fenster sichtbar halten;\n- IFrames bei gewöhnlichem State-Render nicht zerstören.\n\nLIEFERE ZUERST:\n1. Inventar der vorhandenen Komponenten,\n2. DOM-/State-/Event-Plan,\n3. CSS-Layout-Plan,\n4. Sicherheits- und Link-Grenzen,\n5. erst danach den kleinsten Patch.\n```\n9.4 Prompt: Vibe-Coding-Bot ausbauen\n```text\nErweitere den internen ORBITRON VIBE CODING BOT direkt in\nORBITRON-VIBE-CODING.html.\n\nDER BOT MUSS:\n- Ideen in Build Briefs übersetzen,\n- Architektur mit Datenfluss und Risiken erklären,\n- Code erzeugen und als Snippet extrahieren,\n- Debugging nach Reproduktion und Evidence strukturieren,\n- Reviews nach Blocker, Security, Laufzeit und Wartbarkeit sortieren,\n- Tests vorschlagen, aber nicht als ausgeführt behaupten,\n- den aktuellen Editor-Snippet kennen,\n- Preview und Export nicht unkontrolliert ausführen,\n- mit Intent, Inputs, Evidence, Output, Uncertainty und Next Action antworten.\n\nBEHALTE:\n- Gemini Interactions statt /api/chat,\n- Modell gemini-3.1-flash-lite,\n- SSE event_type step.delta und delta.type text,\n- LocalStorage-Begrenzungen,\n- Monaco plus Fallback-Textarea,\n- sandbox=\"allow-scripts\" ohne same-origin,\n- direkte Einbettung in dieselbe Standalone-Datei.\n\nVERIFIZIERE:\n- Chat-Fehler und leere Streams,\n- Markdown-Codeblock-Extraktion,\n- wiederholte Window-Renders,\n- Monaco-Dispose und Model-Lifecycle,\n- Preview-Isolation,\n- Copy-/Download-Fallback,\n- Sidebar-Toggle auf Desktop und Mobile.\n```\n9.5 Prompt: Feature sicher erweitern\n```text\nFühre dieses Feature in der bestehenden ORBITRON-Architektur ein:\n[Feature]\n\nBEVOR DU CODIERST:\n- nenne den kleinsten betroffenen Einstiegspunkt;\n- nenne die vorhandenen State- und Event-Muster;\n- nenne externe Abhängigkeiten und Ausfallzustände;\n- nenne, ob die Funktion deterministisch, AI-gestützt oder reine Navigation ist;\n- nenne drei Akzeptanzkriterien;\n- nenne eine reversible Fallback-Strategie.\n\nIMPLEMENTATION:\n- ändere nur die notwendigen Dateien;\n- verwende vorhandene Klassen, Tokens und Render-Muster;\n- dupliziere keine globalen Provider-Contracts;\n- speichere keine Secrets;\n- mache keine automatische externe Aktion ohne explizite Freigabe.\n\nABSCHLUSS:\n- zeige den Diff-Umfang;\n- führe die passenden Checks aus;\n- belege jeden Test;\n- nenne verbleibende Unsicherheit.\n```\n9.6 Prompt: Debugging\n```text\nDebugge diesen Fehler im ORBITRON-Projekt:\n[Fehler, Screenshot, Log oder Reproduktion]\n\nHALTE DICH AN:\n1. Reproduktion: Wie lässt sich der Fehler exakt auslösen?\n2. Evidence: Welche Datei, DOM-Struktur, Network-Antwort oder Console-Meldung\n   belegt ihn?\n3. Wahrscheinlichste Ursache: nur mit Begründung.\n4. Alternativursachen: maximal drei, priorisiert.\n5. Kleinster Fix: keine ungefragte Neuschreibung.\n6. Verifikation: exakter Befehl oder sichtbarer Browser-Check.\n\nACHTUNG:\n- Ein externer API-Ausfall darf nicht als Frontend-Erfolg maskiert werden.\n- Ein fehlender Proxy darf nicht durch einen erfundenen Mock als gelöst gelten.\n- Keine Aussage „getestet“, wenn nur Syntax geprüft wurde.\n```\n9.7 Prompt: Code Review\n```text\nReviewe den folgenden ORBITRON-Code wie ein Senior Maintainer.\n\nSORTIERE JEDEN FUND NACH:\n1. Blocker\n2. Sicherheitsrisiko\n3. Laufzeit-/Browserfehler\n4. Daten-/Evidence-Fehler\n5. Wartbarkeit\n6. Optionale Verbesserung\n\nFÜR JEDEN FUND:\n- Evidence aus dem Code,\n- reale Auswirkung,\n- kleinster konkreter Fix,\n- wie der Fix verifiziert wird.\n\nPRÜFE BESONDERS:\n- absolute/relative Links,\n- fehlende Standalone-Dateien,\n- iframe sandbox,\n- Credential-Leaks,\n- localStorage-Wachstum,\n- doppelte Event-Listener,\n- Rendern von User-/LLM-Text ohne Escaping,\n- Monaco-Model-Lifecycle,\n- falsche Claims über ausgeführte Tests,\n- Vermischung von LeMarché Core und LLM-Chat.\n```\n9.8 Prompt: Advanced Architecture\n```text\nEntwirf eine fortgeschrittene nächste Architektur für dieses statische\nORBITRON-Projekt, ohne die aktuelle funktionierende Oberfläche zu zerstören.\n\nVERGLEICHE DREI STUFEN:\n- Patch: kleinster sicherer Fortschritt,\n- Consolidation: Duplikate und Contracts reduzieren,\n- Advance: klar begrenzte neue Capability.\n\nBEURTEILE:\n- Standalone-Integrität,\n- Desktop-/IFrame-Lifecycle,\n- Provider-Abstraktion,\n- Evidence- und Handoff-Format,\n- Testbarkeit,\n- mobile Bedienung,\n- Offline-/CDN-Fallbacks,\n- Security und Secrets,\n- Migrationsrisiko.\n\nEMPFEHLUNG:\n- wähle eine Stufe;\n- begründe, warum größere Refactors jetzt nicht nötig sind;\n- gib Reihenfolge, Rollback-Punkt und Akzeptanzkriterien an;\n- keine Framework-Migration ohne expliziten Auftrag.\n```\n---\n10. UI-/UX-Regeln für neue Arbeit\nVisuelle Sprache\nOrbitron-/Inter-/JetBrains-Mono-ähnliche Typografie ist etabliert.\nDesktop-Flächen verwenden klare Panels, dünne Borders, Glow sparsam und\nstatusorientiert.\nRedline gehört zum Vibe-Coding-Desktop.\nGrün/Cyan gehört zum LeMarché-/Core-Kontext.\nGold gehört zu GoldShield-/Premium-/WOLTY-Akzenten.\nKeine Emojis als UI-Symbole.\nFont Awesome ist der bestehende Icon-Standard, sofern bereits eingebunden.\nInteraktion\nsichtbare Fokuszustände,\n`aria-label` und `title` für Icon-only-Aktionen,\nToggle-Zustände mit `aria-expanded`,\nkeine Aktion nur über Hover,\nError/Loading/Empty-State sichtbar unterscheiden,\nkeine stillen Disabled-Zustände ohne Erklärung,\nbei Text- und Code-Output Escaping beibehalten.\nResponsive Verhalten\nDesktop-Flächen müssen bei kleinen Breiten nicht alle Desktop-Fenster\nerzwingen.\nSidecars dürfen auf Mobile sinnvoll verborgen oder unterhalb angeordnet\nwerden, aber nicht den Hauptflow blockieren.\nTouch-/Pointer-Events und Keyboard-Fokus nicht nur für Maus optimieren.\nEine reduzierte mobile Ansicht ist besser als horizontales Overflow ohne\nBedienhinweis.\n---\n11. Test- und Verifikations-Runbook\n11.1 Schnellcheck nach HTML-/JS-Änderungen\n```bash\npython3 - <<'PY'\nfrom pathlib import Path\nimport re\nimport subprocess\n\nfor path in sorted(Path(\".\").glob(\"*.html\")):\n    source = path.read_text(encoding=\"utf-8\", errors=\"replace\")\n    scripts = re.findall(\n        r\"<script(?![^>]*\\bsrc=)[^>]*>(.*?)</script>\",\n        source,\n        re.IGNORECASE | re.DOTALL,\n    )\n    for index, script in enumerate(scripts, 1):\n        result = subprocess.run(\n            [\"node\", \"--check\"],\n            input=script,\n            text=True,\n            capture_output=True,\n        )\n        if result.returncode:\n            raise SystemExit(f\"{path} inline script #{index}: {result.stderr}\")\nprint(\"All root inline scripts pass Node syntax check.\")\nPY\n```\nBei Änderungen in `0-LeMarche-addons/` den passenden Unterbereich zusätzlich\nprüfen; große historische Dateien nicht pauschal in eine teure Vollprüfung\nnehmen, wenn der Patch sie nicht berührt.\n11.2 HTTP-/HTML-Smoke-Test\nWorkflow starten bzw. laufen lassen und dann:\n```bash\ncurl -sS -o /dev/null -w '%{http_code}\\n' \\\n  [PRIVATE_HOST]\n\npython3 smoke_test_llm_apps.py\n```\n`smoke_test_llm_apps.py`:\nprüft wichtige Root-/Add-on-Seiten,\nparst HTML,\nprüft Proxy-Routen mit leerem Payload statt einer echten Model-Anfrage,\nprüft EOD-Routen,\nprüft ausgewählte Credential-/Prism-/PWA-Regeln,\nprüft Inline-JavaScript, falls Node verfügbar ist.\nEin externer HTTP-Fehler kann von Provider-Verfügbarkeit oder Netzwerk\nabhängen. Das Ergebnis muss dann als Unsicherheit dokumentiert werden und darf\nnicht durch einen Fake-Erfolg ersetzt werden.\n11.3 Browser-/Preview-Prüfung\nNach visuellen oder interaktiven Änderungen:\nWorkflow neu starten, wenn Startkommando, Toolchain oder statische Dateien\nbetroffen sind.\nPreview der konkreten Seite öffnen.\nBrowser-Console auf neue Fehler prüfen.\nrelevante Interaktion ausführen:\nDesktop-Shortcut,\nExplorer-Suche,\nIFrame-Fenster,\nVibe-Bot-Deep-Link,\nSidebar-Toggle,\nEditor,\nPreview,\nDownload/Copy,\nTheme/Guide,\nMobile-Breakpoint.\nerst danach die Änderung als fertig bezeichnen.\n11.4 Vibe-spezifische Akzeptanzkriterien\n`#vibe-coding-bot` öffnet den internen Bot.\nBot-Header zeigt den Sidecar-Zustand.\n`aria-expanded` entspricht `sidebarOpen`.\nToggle speichert den Zustand und rendert ohne Fehler.\nEditor steht bei geöffneter Sidecar-Bar vor Utilities.\nMonaco lädt lazy; Fallback-Textarea bleibt nutzbar.\nSnippets aus fenced code blocks erscheinen auswählbar.\nHTML-Preview verwendet die restriktive Sandbox.\nHTML- und TXT-Download verwenden den aktuellen Editor-Inhalt.\nExplain/Improve/Tests/Review senden den aktuellen Snippet an den Bot.\nkeine API-Credentials werden gespeichert oder gerendert.\nkeine Antwort behauptet nicht ausgeführte Tests.\n---\n12. Change-Management und Guardrails\nVor jedem Patch\nZiel-Datei und aktuelle Funktion suchen, nicht raten.\nbestehende State- und Render-Muster lesen.\nklären, ob die Änderung Core, AI, Navigation oder Vibe betrifft.\nexterne Links und Proxy-Routen gegen den aktuellen Code prüfen.\nkleinste reversible Änderung wählen.\nNach jedem Patch\nInline-JS-Syntax prüfen.\nWorkflow/HTTP prüfen.\nneue Browserfehler prüfen.\nFeature im realen UI prüfen.\nkeine unbeabsichtigte Löschung oder Umbenennung von Legacy-Dateien.\nDokumentation nur dann erweitern, wenn der neue Contract wirklich dauerhaft\ngilt.\nNicht ohne expliziten Auftrag\nFramework-Wechsel zu React/Vite/Next,\nnpm-/Bundler-Migration,\nDatenbankmigration,\nAustausch des statischen Servers,\nEntfernung großer Legacy-/Archivbestände,\nAustausch externer Provider,\nÄnderung der LeMarché-/Chat-Trennung,\nUmwandlung einer Standalone-App in einen IFrame-Wrapper,\nEinfügen von Secrets oder direkten Provider-Credentials,\nautomatische Trades, Käufe, Sends, Publishes oder irreversible externe\nAktionen.\nKleine reversible Schritte\nBevorzugt:\n```text\ninspect → patch one surface → syntax check → restart workflow →\nbrowser verify → document contract\n```\nNicht bevorzugt:\n```text\nrewrite every HTML file → add framework → hope external APIs still match\n```\n---\n13. Bekannte Grenzen und Risiken\nExterne Abhängigkeit: Fonts, Font Awesome, Monaco, TradingView,\nLightweight Charts und Proxy-Routen kommen teilweise aus dem Netz.\nStatisches Deployment: Es gibt keinen lokalen Servercode, der neue\nSecrets oder Proxy-Routen bereitstellt. Neue Serverfähigkeiten brauchen\neine gesonderte Architekturentscheidung.\nRemote-Kataloge: Der Corporate-Katalog enthält viele absolute externe\nQuellen. Quelle, Reachability und Lizenz/Ownership sind nicht automatisch\nverifiziert.\nLegacy-Namen: Einige historische Dateinamen enthalten Leerzeichen,\nSonderzeichen oder Versionsreste. Nicht ungefragt normalisieren.\nIFrame-Realität: Cross-origin-IFrames können nicht wie lokale DOMs\ninspiziert werden. Fehler müssen über sichtbare Navigation/Load-States und\nexterne Prüfung behandelt werden.\nLLM-Ungewissheit: AI-Antworten sind Hypothesen, solange sie nicht durch\nbenannte Inputs oder deterministische Module geprüft wurden.\nLocalStorage: Lokale Sessiondaten sind browsergebunden und kein\nbelastbarer Server-Handoff. JSON-Export oder expliziter Handoff ist nötig.\nPreview-Sandbox: Die Vibe-Preview ist ein Risikoreduzierer, keine\nvollständige Isolation für beliebige bösartige Programme.\n---\n14. Handoff-Vorlage für Menschen und Agents\n```text\nORBITRON HANDOFF\n\nINTENT:\n\nSURFACE:\n  LeMarché Core | Chat | GoldShield | Daniel | WOLTY | Vibe | Corporate\n\nINPUTS:\n  files:\n  symbol/object:\n  timeframe:\n  provider/route:\n  constraints:\n\nEVIDENCE:\n  observed files:\n  observed runtime:\n  named source:\n  commands actually run:\n\nOUTPUT:\n  result:\n  changed behavior:\n  generated code or interpretation:\n\nUNCERTAINTY:\n  missing data:\n  external dependency:\n  unverified claim:\n\nVERIFICATION:\n  syntax:\n  workflow/http:\n  browser:\n  feature:\n\nNEXT ACTION:\n\nAPPROVAL REQUIRED:\n  no | yes — describe the external or irreversible action\n```\n---\n15. Definition of Done\nEine Änderung ist erst fertig, wenn:\nsie die richtige Workshell-Schicht verwendet,\nkeine bestehende funktionierende Funktion ohne Grund entfernt wurde,\nkeine erfundenen Dateien, Routen oder Providerverträge eingeführt wurden,\nCredentials geschützt bleiben,\ndeterministische Evidence und AI-Interpretation getrennt bleiben,\nUI-Zustände und Fehler sichtbar sind,\nder relevante Workflow sauber startet,\nSyntax und HTTP geprüft wurden,\ndie konkrete Browser-Interaktion geprüft wurde,\nUnsicherheiten offen dokumentiert sind,\nder nächste sinnvolle Schritt klar ist.\nDer Qualitätsmaßstab ist nicht maximale Abstraktion. Der Qualitätsmaßstab ist\neine funktionierende, verständliche, überprüfbare und sicher erweiterbare\nORBITRON-Workshell.",
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local_match=—\n- genitormatrix | status=Published | published=genitormatrix.replit.app | created≈2025-11-07 | archive=exported (exact) | local_match=genitormatrix\n- formeln-chatbot | status=Published | published=formeln-chatbot.replit.app | created≈2025-11-07 | archive=missing (none) | local_match=—\n- music.library | status=Published | published=music-library.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- alphabet | status=Published | published=alphabet-app.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- latein bibiothek | status=Published | published=latein-bibiothek.replit.app | created≈2025-12-07 | archive=exported (exact) | local_match=latein-bibiothek\n- tanzaapp | status=Published | published=tanzaapp.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- schreiben | status=Published | published=schreiben.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- vulgata | 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archive=missing (none) | local_match=—\n- appgpt | status=Published | published=appgpt.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- anwalt | status=Published | published=anwalt-ai.replit.app | created≈2025-12-07 | archive=exported (exact) | local_match=anwalt\n- hausmeister | status=Published | published=hausmeister-ai.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- famer und jäger | status=Published | published=famer-und-jager.replit.app | created≈2025-12-07 | archive=exported (exact) | local_match=famer-und-jager\n- hausmeister-remix | status=Published | published=hausmeister-remix.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- wolf of wall street | status=Published | published=wolf-of-wall-street.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- do it yourself-english | status=Published | published=do-it-yourself-english.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- wolf | status=Published | published=zero-point-zero.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- sternsinger | status=Published | published=sternsinger.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- dvag-test | status=Published | published=dvag-test.replit.app | created≈2025-12-07 | archive=exported (exact) | local_match=dvag-test\n- domuszech | status=Published | published=domusaurea.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- HTML editor | status=Published | published=Le-Code.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- HTML editor - CODESTRAl-pilot | status=Published | published=html-editor.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- KINDLE | status=Published | published=LeKindle.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- Radio | status=Published | published=radio-D.replit.app | created≈2025-12-07 | archive=exported (exact) | local_match=Radio\n- audible | status=Published | published=neural-audible.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- kostolany | status=Published | published=kostolany.replit.app | created≈2025-12-07 | archive=exported (exact) | local_match=kostolany\n- epub | status=Published | published=epub--domusaureaopn.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- cover | status=Published | published=cover--domusaureaopn.replit.app | created≈2025-12-07 | archive=missing (none) | local_match=—\n- aldi | status=Published | published=aldi-trading.replit.app | created≈2026-01-06 | archive=exported (exact) | local_match=aldi\n- neuralcodex band 1-3 | status=Published | published=neuralcodex-band-1-3.replit.app | created≈2026-01-06 | archive=missing (none) | local_match=—\n- neural-codex komplett | status=Published | published=neural-codex-komplett--domusaureaopn.replit.app | created≈2026-01-06 | archive=missing (none) | local_match=—\n- promptegineer | status=Published | published=promptegineer--domusaureaopn.replit.app | created≈2026-01-06 | archive=missing (none) | local_match=—\n- liturgie | status=Published | published=liturgie--domusaureaopn.replit.app | created≈2026-01-06 | archive=probable (variant) | local_match=liturgie-1\n- liturgie (1) | status=Published | published=liturgie.replit.app | created≈2026-01-06 | archive=exported (exact) | local_match=liturgie-1\n- deBeauvoir | status=Published | published=de-beauvoir.replit.app | created≈2026-01-06 | archive=missing (none) | local_match=—\n- system-coach | status=Published | published=system-coach.replit.app | created≈2026-01-06 | archive=missing (none) | local_match=—\n- kempis | status=Published | published=imitatio.replit.app | created≈2026-01-06 | archive=missing (none) | local_match=—\n- lubumda | status=Published | published=lumumba-ai.replit.app | created≈2026-01-06 | archive=missing (none) | local_match=—\n- prompting | status=Published | published=prompting-domusaureaopn.replit.app | created≈2026-02-06 | archive=missing (none) | local_match=—\n- ki-entrepreneur | status=Published | published=ki-entrepreneur.replit.app | created≈2026-02-06 | archive=missing (none) | local_match=—\n- truthmap | status=Published | published=truthmap.replit.app | created≈2026-02-06 | archive=exported (exact) | local_match=truthmap\n- blackhole | status=Published | published=blackhole-domusaureaopn.replit.app | created≈2026-02-06 | archive=missing (none) | local_match=—\n- summa | status=Published | published=summa-theo.replit.app | created≈2026-02-06 | archive=exported (exact) | local_match=summa\n- cumex | status=Published | published=rain-open.replit.app | created≈2026-02-06 | archive=exported (exact) | local_match=cumex\n- börse-history | status=Published | published=borse-history.replit.app | created≈2026-02-06 | archive=missing (none) | local_match=—\n- deutschebank | status=Published | published=deutschebank-dvag.replit.app | created≈2026-02-06 | archive=missing (none) | local_match=—\n- dvao-os-1 | status=Published | published=dvag-os.replit.app | created≈2026-02-06 | archive=exported (exact) | local_match=dvao-os-1\n- WATCHLIST | status=Published | published=watchlist-immo.replit.app | created≈2026-04-08 | archive=missing (none) | local_match=—\n- WACHT-LISTE1 | status=Published | published=wacht-liste.replit.app | created≈2026-04-08 | archive=missing (none) | local_match=—\n- DA-WATHCLIST | status=Published | published=big-watchlist.replit.app | created≈2026-04-08 | archive=missing (none) | local_match=—\n- VAULTY | status=Published | published=vaulty-chat.replit.app | created≈2026-04-08 | archive=exported (exact) | local_match=VAULTY\n- samsung-made | status=Published | published=samsung-made.replit.app | created≈2026-04-08 | archive=exported (exact) | local_match=samsung-made\n- LeRAG | status=Published | published=le-rag.replit.app | created≈2026-05-08 | archive=exported (exact) | local_match=LeRAG\n- genitus-gaming | status=Published | published=genitus-gaming.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- LeWATCH | status=Published | published=le-watch.replit.app | created≈2026-05-08 | archive=exported (exact) | local_match=LeWATCH\n- OPEN-SEARCH | status=Published | published=open-search-vector.replit.app | created≈2026-05-08 | archive=exported (exact) | local_match=OPEN-SEARCH\n- OVERLORD | status=Published | published=overlord-genitus.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- INDEX CONTROL | status=Published | published=genitus-control.replit.app | created≈2026-05-08 | archive=exported (exact) | local_match=INDEX-CONTROL\n- Auction-Option | status=Published | published=XETRA.replit.app | created≈2026-05-08 | archive=exported (exact) | local_match=Auction-Option\n- NEURAL-PORTFOLIO | status=Published | published=neural-portfolio.replit.app | created≈2026-05-08 | archive=exported (exact) | local_match=NEURAL-PORTFOLIO\n- ROSENKRANZ | status=Published | published=rosenkranz-domusaureaopn.replit.app | created≈2026-05-08 | archive=exported (exact) | local_match=ROSENKRANZ\n- maistro | status=Published | published=code-genitor-game.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- sims | status=Published | published=open-world.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- vektor-ide | status=Published | published=vektor-ide.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- starcraft2 | status=Published | published=starcraft-2.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- architect (1) | status=Published | published=architect-1.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- SPIELESAMMLUNG | status=Published | published=gaming-ai.replit.app | created≈2026-05-08 | archive=exported (exact) | local_match=SPIELESAMMLUNG\n- GEMINI-OS | status=Published | published=gemini-os.replit.app | created≈2026-05-08 | archive=exported (exact) | local_match=GEMINI-OS\n- NEURAL-MANSION | status=Published | published=neural-mansion.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- TRON | status=Published | published=neural-tron.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- STREETBALL | status=Published | published=street-ball.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- PENALTY | status=Published | published=penalty-kick.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- MADDEN | status=Published | published=madden-ai.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- GOLDSHIELD;YAHOO | status=Published | published=goldshieldyahoo.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- CSS-STRIPPER | status=Published | published=css-strip.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- LeGROK | status=Published | published=le-grok.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- RAUMFAHRT | status=Published | published=raumfahrt.replit.app | created≈2026-06-08 | archive=missing (none) | local_match=—\n- HEIKIN ASHI (1) | status=Published | published=heikin-ashi-deluxe.replit.app | created≈2026-06-08 | archive=exported (exact) | local_match=HEIKIN-ASHI-1\n- TOGETHER AI | status=Published | published=together-ai.replit.app | created≈2026-06-08 | archive=missing (none) | local_match=—\n- DANIEL-COMMAND-CENTER | status=Published | published=daniel-command-center.replit.app | created≈2026-06-08 | archive=missing (none) | local_match=—\n- NEURAL-TRADING-APPS | status=Published | published=neural-trading-apps.replit.app | created≈2026-06-08 | archive=exported (exact) | local_match=NEURAL-TRADING-APPS\n- openBB | status=Published | published=open-bb.replit.app | created≈2026-06-08 | archive=exported (exact) | local_match=openBB\n- markov | status=Published | published=markov-genitus.replit.app | created≈2026-06-08 | archive=missing (none) | local_match=—\n- MARKOV-TRADING | status=Published | published=markov-trading.replit.app | created≈2026-06-08 | archive=exported (exact) | local_match=MARKOV-TRADING\n- LANG-CHAIN | status=Published | published=lang-chain.replit.app | created≈2026-06-08 | archive=exported (exact) | local_match=LANG-CHAIN\n- BLANKO | status=Published | published=bluehost-stack.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n- REPLICATE | status=Published | published=replicate-proxy.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n- MEGA-HTML | status=Published | published=mega-html.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n- neural-media | status=Published | published=neural-media.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n- genitus-news | status=Published | published=genitus-news.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n- NEWSFLOW | status=Published | published=newsflow-ai.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n- history-new | status=Published | published=history-new.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n- orbitron maps | status=Published | published=orbitron-maps.replit.app | created≈2026-07-08 | archive=exported (exact) | local_match=orbitron-maps\n- CRYPTO-TANKSTELLE | status=Published | published=crypto-tankstelle.replit.app | created≈2026-07-08 | archive=exported (exact) | local_match=CRYPTO-TANKSTELLE\n- VEKTOR+LEARNING | status=Published | published=vektorlearning.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n- NACHHILFE | status=Published | published=nachhilfe-ki.replit.app | created≈2026-07-08 | archive=exported (exact) | local_match=NACHHILFE\n- Flexxi | status=Published | published=flexxi-ai.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n- Glow Up - Gemini | status=Published | published=glow-up-gemini.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n- VOLUMEN-TRADING | status=Published | published=volumen-trading.replit.app | created≈2026-08-08 | archive=exported (exact) | local_match=VOLUMEN-TRADING\n- GAMMA-APP | status=Published | published=gamma-app.replit.app | created≈2026-08-08 | archive=exported (exact) | local_match=GAMMA-APP\n- Windows-CRM | status=Published | published=windows-crm.replit.app | created≈2026-08-08 | archive=missing (none) | local_match=—\n- Nice-Watchliste | status=Published | published=nice-watchliste.replit.app | created≈2026-08-08 | archive=exported (exact) | local_match=Nice-Watchliste\n- genusschein | status=Published | published=genusschein.replit.app | created≈2026-08-08 | archive=missing (none) | local_match=—\n- ORBITRON-OS | status=Published | published=orbitron-os.replit.app | created≈2026-08-08 | archive=exported (exact) | local_match=ORBITRON-OS\n- ORBITRON-WINDOWS | status=Published | published=orbitron-windows.replit.app | created≈2026-08-08 | archive=missing (none) | local_match=—\n- ORBITRON-BROTHERS | status=Published | published=orbitron-brothers.replit.app | created≈2026-08-08 | archive=exported (exact) | local_match=ORBITRON-BROTHERS\n- GLOBALFINTECH-PWA | status=Published | published=globalfintech-pwa.replit.app | created≈2026-08-08 | archive=probable (fuzzy) | local_match=GLOBALFINTECH\n- ORBITRON-MASHINE | status=Published | published=orbitron-mashine.replit.app | created≈2026-08-08 | archive=missing (none) | local_match=—\n- CHARTS-LIBRARY | status=Published | published=charts-library.replit.app | created≈2026-08-14 | archive=missing (none) | local_match=—\n- PWA | status=Published | published=orbitron-pwa.replit.app | created≈2026-08-15 | archive=missing (none) | local_match=—\n- MINDSTAR | status=Published | published=mindstar.replit.app | created≈2026-08-18 | archive=exported (exact) | local_match=MINDSTAR\n- Legal-TECH | status=Published | published=legal-technolgy.replit.app | created≈2026-08-19 | archive=exported (exact) | local_match=Legal-TECH\n- schach-meisger | status=Published | published=schach-meisger.replit.app | created≈2026-08-21 | archive=exported (exact) | local_match=schach-meisger\n- TexasInstruments | status=Published | published=texas-instruments.replit.app | created≈2026-08-22 | archive=missing (none) | local_match=—\n- pwa-history | status=Published | published=pwa-history.replit.app | created≈2026-08-26 | archive=exported (exact) | local_match=pwa-history\n- CHATBOT-EMPIRE | status=Published | published=chatbot-empire.replit.app | created≈2026-08-26 | archive=missing (none) | local_match=—\n- LeMarché-PWA | status=Published | published=le-marche-pwa.replit.app | created≈2026-08-28 | archive=missing (none) | local_match=—\n- REMIX-Haushalt | status=Published | published=orbitron-finance.replit.app | created≈2026-08-29 | archive=missing (none) | local_match=—\n- SALES BOT | status=Published | published=sales-bot-pwa.replit.app | created≈2026-08-30 | archive=missing (none) | local_match=—\n- LeMarché-PWA-remix | status=Published | published=le-marche-pwa-remix.replit.app | created≈2026-08-31 | archive=missing (none) | local_match=—\n- Orbitron MARCHÉ | status=Published | published=orbitron-marche.replit.app | created≈2026-09-02 | archive=missing (none) | local_match=—\n- REPLIT-MD | status=Published | published=replit-md-domusaureaopn.replit.app | created≈2026-09-03 | archive=missing (none) | local_match=—\n- CODING CHATROOM | status=Published | published=genitus-chatroom.replit.app | created≈2026-09-05 | archive=missing (none) | local_match=—\n- EBOOKS-AUFLAG-2 | status=Published | published=ebooks-auflag-2.replit.app | created≈2026-09-06 | archive=missing (none) | local_match=—\n\n## STATUS: DRAFT\n\n- FaithfulAnxiousComputers | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- RustyEssentialMoto | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- DocumentIntelligence | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- SecretKeyManager | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- I apologize, but I cannot and will not assist you with hand | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- DataScienceToolkit | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=DataScienceToolkit\n- GlobalFinTechMarche | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- 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status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=SlideSwapViewer\n- AppleFinanceTracker | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- TradeScriptStudio | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- TradeAlchemy | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- MarketAnalyzer | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=MarketAnalyzer\n- TradingInsightHub | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- CopyClipboard | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- ChartStyler | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=ChartStyler\n- IntelligentJournal | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- StockComparator | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=StockComparator\n- StockSimulator | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- NewsFlowPro | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- ForexDataMerger | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- ForexAnalyticsDashboard | status=Draft | published=— | created≈2024-09-07 | archive=exported (exact) | local_match=ForexAnalyticsDashboard\n- NasdaqTracker | status=Draft | published=— | created≈2024-09-07 | archive=missing (none) | local_match=—\n- GlobalFinTechAI | status=Draft | published=— | created≈2024-09-07 | archive=probable (fuzzy) | local_match=GLOBALFINTECH\n- AlgoTraderTool | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AlgoTraderPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- IntradayTrader | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- IntraTradeAnalyzer | status=Draft | published=— | created≈2025-09-07 | archive=probable (variant) | local_match=IntraTradeAnalyzer-1\n- FileConverterTool | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- NeonCalculator | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MatrixCalculator | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIArtVault | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- KiMatrixIndex | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIContentCrafter | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SevenDayTrial | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WebinarVideoTracker | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- ApiKeyManager | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- I apologize, but I cannot provide a project name for this q | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- StripeWebinar | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WebinarPaywall | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- TraderDashboard | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=TraderDashboard\n- SecureAuthFlow | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusMobile | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusPlatform | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusEnglish | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- genitus-agency | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MobileCelestia | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- LeBureauOffice | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AppAccordiaFlow | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIAgentPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AgentMonetizer | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SecureLoginPage | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIGameCrafting | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusSaga | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MobileLibbyInterface | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CodeChatWire | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- HTMLWebConverter | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CatholicCompanion | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GameMasterAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- ImageCrafterHub | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- EnglishLanguageMaster | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- TravelMate | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=TravelMate\n- ImageGeneratorPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AiMusicDeluxe | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FitnessForge | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIEduLearn | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- EcoAiMobile | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- TrendPulse | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=TrendPulse\n- MobileLanguageLearner | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AiLinguaDashboard | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusLedger | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusLedger (1) | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SecureTokenHandler | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WebStyleGenerator | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- LoginCommunityHub | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- BoostBrain | status=Draft | published=— | created≈2025-09-07 | archive=probable (fuzzy) | local_match=BoostBrain2\n- MistralAgentPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- ImageMistralAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WebQuestAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PerplexitySearch | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MatrixPerplexity | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PerplexityMaster | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=PerplexityMaster\n- StripeLoginFlow | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GeniusRoboAdvisor | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusFusion | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusBroker | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=GenitusBroker\n- SecureSignIn | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIToolExplorer | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AICodePilot | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- ScreenCapturePro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- VideoCapturePro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- LoginSecure | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIImageLibrary | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenAiLibby | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MobileChatAssistant | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- VisionChatAssistant | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIBondsPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIBondIntelligence | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=AIBondIntelligence\n- MobileDashboard (1) | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FileSystemExplorer | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GradeMobileTracker | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FileNavigatorPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- BondDashboard | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- BondTracker | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GreenSageAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SalesDashboardPro | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CorporateLanding | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- OptionsMaster | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIInvestmentAnalyzer | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=AIInvestmentAnalyzer\n- WordPressBuilder | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FinanceBidHub | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PromptMaster | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PromptCraft | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PromptCraftHub | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusFacilityAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SalesSymphony | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=SalesSymphony\n- LearningSocialSync | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- DiabetesGuardian | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=DiabetesGuardian\n- IntelliOffice | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- MobileAssistant | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- PersonalAICompanion | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FinancialElite | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AutoGenerationPro | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=AutoGenerationPro\n- CorporateChatFusion | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GreenAiAssistant | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- TextToSpeechMaster | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- HotTakeGenerator | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- HotTakeGenerator (1) | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CyberShieldAI | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CyberShield | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- CyberShield (1) | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIVisualPlatform | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- I apologize, but I cannot see any attached file in our conv | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WolframGenius | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GenitusMobileLexikon | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- AIImageStyler | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- BankChatAssist | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- FinancialAssistant | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SophisticatedChatInterface | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- 1c | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- nononkl | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- goldi1 | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=goldi1\n- WikiIMAGE | status=Draft | published=— | created≈2025-09-07 | archive=probable (variant) | local_match=WikiIMAGE-1\n- FinTechLexicon | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- GeminiModels | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- jiiho | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- wikidatabase | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- SocialMediaAnalyzer | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- DataGridIntelligence | status=Draft | published=— | created≈2025-09-07 | archive=missing (none) | local_match=—\n- WikiIMAGE (1) | status=Draft | published=— | created≈2025-09-07 | archive=exported (exact) | local_match=WikiIMAGE-1\n- WikiIMAGE 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| archive=missing (none) | local_match=—\n- onbording-sales-videos | status=Draft | published=— | created≈2025-11-07 | archive=missing (none) | local_match=—\n- scripte-mix sales | status=Draft | published=— | created≈2025-11-07 | archive=missing (none) | local_match=—\n- replit.md | status=Draft | published=— | created≈2025-11-07 | archive=missing (none) | local_match=—\n- AICodePilot.codestral | status=Draft | published=— | created≈2025-11-07 | archive=missing (none) | local_match=—\n- CPlusPlus | status=Draft | published=— | created≈2025-11-07 | archive=exported (exact) | local_match=CPlusPlus\n- fitnessbruder | status=Draft | published=— | created≈2025-11-07 | archive=missing (none) | local_match=—\n- EXXPORT-BATCH-deux | status=Draft | published=— | created≈2025-11-07 | archive=missing (none) | local_match=—\n- genitus-agency-novedas | status=Draft | published=— | created≈2025-11-07 | archive=missing (none) | local_match=—\n- intranet | status=Draft | published=— | 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local_match=—\n- tanzapp | status=Draft | published=— | created≈2025-12-07 | archive=missing (none) | local_match=—\n- ETH NFT minting site in 5 minutes | status=Draft | published=— | created≈2025-12-07 | archive=missing (none) | local_match=—\n- heiligenkalender | status=Draft | published=— | created≈2025-12-07 | archive=missing (none) | local_match=—\n- neural-codex-finale (1) | status=Draft | published=— | created≈2025-12-07 | archive=missing (none) | local_match=—\n- wolf of wall street-remix | status=Draft | published=— | created≈2025-12-07 | archive=missing (none) | local_match=—\n- history-remix | status=Draft | published=— | created≈2025-12-07 | archive=missing (none) | local_match=—\n- Pythonl-library | status=Draft | published=— | created≈2025-12-07 | archive=missing (none) | local_match=—\n- wolfs-ende | status=Draft | published=— | created≈2025-12-07 | archive=missing (none) | local_match=—\n- holland | status=Draft | published=— | created≈2026-01-06 | archive=missing (none) | local_match=—\n- audio-extractor | status=Draft | published=— | created≈2026-01-06 | archive=missing (none) | local_match=—\n- praixus | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- satellit | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- generali-funds | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- deep-talk | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- tts-batch-transcript-batch | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- vasp-deluxe | status=Draft | published=— | created≈2026-02-06 | archive=missing (none) | local_match=—\n- WideEagerGzip | status=Draft | published=— | created≈2026-04-08 | archive=missing (none) | local_match=—\n- Developer Framework Html | status=Draft | published=— | created≈2026-04-08 | archive=missing (none) | local_match=—\n- VAULTY-Flutter | status=Draft | published=— | created≈2026-04-08 | archive=missing (none) | local_match=—\n- files (4).zip | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- html-python | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- OFFICE-FREE | status=Draft | published=— | created≈2026-05-08 | archive=exported (exact) | local_match=OFFICE-FREE\n- Semantic Data Hub | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- hermann | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- CRAWLER | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- ARCHITECT | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- architect | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- KICKER | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- ML-Predictin | status=Draft | published=— | created≈2026-05-08 | archive=exported (exact) | local_match=ML-Predictin\n- TENSOR-FLOW | status=Draft | published=— | created≈2026-05-08 | archive=exported (exact) | local_match=TENSOR-FLOW\n- VEKTOR-DATABASE | status=Draft | published=— | created≈2026-05-08 | archive=missing (none) | local_match=—\n- VEKTOR-NEWS | status=Draft | published=— | created≈2026-05-08 | archive=exported (exact) | local_match=VEKTOR-NEWS\n- BLIP/CLIP | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- HEIKIN-ASHI | status=Draft | published=— | created≈2026-06-08 | archive=probable (variant) | local_match=HEIKIN-ASHI-1\n- TAKEOUT-GMAIL | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- goldi1-remix | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- RadiantNavajowhiteDiskdrive | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- mistral-hub | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- multi-api-test | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- Markov Fortuna | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- privacy-shield | status=Draft | published=— | created≈2026-06-08 | archive=missing (none) | local_match=—\n- VEKTOR-MEGA | status=Draft | published=— | created≈2026-07-08 | archive=missing (none) | local_match=—\n- mcp server | status=Draft | published=— | created≈2026-07-08 | archive=exported (exact) | local_match=mcp-server\n- RSS-SERVER | status=Draft | published=— | created≈2026-07-08 | archive=missing (none) | local_match=—\n- Geschichte | status=Draft | published=— | created≈2026-07-08 | archive=missing (none) | local_match=—\n- Flexxi-n8n | status=Draft | published=— | created≈2026-07-08 | archive=missing (none) | local_match=—\n- WHITE | status=Draft | published=— | created≈2026-08-08 | archive=missing (none) | local_match=—\n- SAP | status=Draft | published=— | created≈2026-08-08 | archive=missing (none) | local_match=—\n- ORBITRON-WINDOWS-1 | status=Draft | published=— | created≈2026-08-08 | archive=missing (none) | local_match=—\n- PWA-HISTORY-NACHHILFE | status=Draft | published=— | created≈2026-08-26 | archive=missing (none) | local_match=—\n- ROUTINE-CODING | status=Draft | published=— | created≈2026-09-03 | archive=missing (none) | local_match=—\n\n## STATUS: FAILED\n\n- daBATCH-job-runde3 | status=Failed | published=da-batch-job-runde-3-domusaureaopn.replit.app | created≈2025-10-07 | archive=exported (exact) | local_match=daBATCH-job-runde3\n- FUNNEL | status=Failed | published=funnel-ai-plattform.replit.app | created≈2025-11-07 | archive=missing (none) | local_match=—\n- neural-kids-hrvatski | status=Failed | published=neural-kids-hrvatski-domusaureaopn.replit.app | created≈2025-11-07 | archive=missing (none) | local_match=—\n- nrw | status=Failed | published=nrw-domusaureaopn.replit.app | created≈2025-11-07 | archive=missing (none) | local_match=—\n- JAVA | status=Failed | published=java-domusaureaopn.replit.app | created≈2026-05-08 | archive=missing (none) | local_match=—\n- MEGA-EXPORT | status=Failed | published=mega-export.replit.app | created≈2026-07-08 | archive=missing (none) | local_match=—\n\n## LESEHILFE\n\n- `archive=exported` bedeutet: normalisierter Stack-Name entspricht einem lokalen Export-Verzeichnis.\n- `archive=probable` bedeutet: Varianten- oder Fuzzy-Match; vor Evidence-Nutzung prüfen.\n- `archive=missing` bedeutet: kein verlässlicher lokaler Export-Match.\n- Der Atlas führt diese Daten als Stack-Snapshot und nicht als lokale Projektdokumentation.\n\n",
        "source": "replit-stack-komplett-kuratiert.txt",
        "source_path": "replit-stack-komplett-kuratiert.txt",
        "tags": [
          "root-file",
          "txt"
        ],
        "tech_stack": [],
        "is_root_file": true,
        "is_local_project": false,
        "is_prompt": false,
        "is_prompt_source": false,
        "is_stack_candidate": false
      },
      {
        "catalog_type": "root_file",
        "record_id": "root-file:015:replit-stack-komplett.txt",
        "title": "replit-stack-komplett.txt",
        "category": "Root source artifact",
        "cluster": "Project root",
        "file_name": "replit-stack-komplett.txt",
        "file_type": "txt",
        "char_count": 41350,
        "line_count": 3618,
        "overview": "Skip to content Daniel Daniel 18 Projects Search Name Published Published URL Last opened Created FaithfulAnxiousComputers FaithfulAnxiousComputers Draft — 2 years ago RustyEssentialMoto RustyEssentialMoto Draft — 2 years ago StockSentinel StockSentinel Published stock-sentinel-domusaureaopn.replit.app 6 days ago 2 years ago DocumentIntelligence DocumentIntelligence Draft 12 days ago 2 years ago SecretKeyManager SecretKeyManager Draft — 2 years ago I apologize, but I cannot and will not assist you with hand I apologize, but I cannot and will not assist you with hand Draft — 2 years ago DataScienceToolkit DataScienceToolkit Draft 5 days ago 2 years ago GlobalFinTechMarche GlobalFinTechMarche Draft — 2 years ago YouTubeTranscriptFetcher YouTubeTranscriptFetcher Draft — 2 years ago NftArchive NftArchive Draft — 2 years ago AiTubeCompanion AiTubeCompanion D",
        "content": "\nSkip to content\n\n\nDaniel\n\n\nDaniel\n18\nProjects\nSearch\n\nName\nPublished\nPublished URL\nLast opened\nCreated\nFaithfulAnxiousComputers\nFaithfulAnxiousComputers\nDraft\t\t—\t\n2 years ago\n\nRustyEssentialMoto\nRustyEssentialMoto\nDraft\t\t—\t\n2 years ago\n\nStockSentinel\nStockSentinel\nPublished\nstock-sentinel-domusaureaopn.replit.app\t\n6 days ago\n2 years ago\n\nDocumentIntelligence\nDocumentIntelligence\nDraft\t\t\n12 days ago\n2 years ago\n\nSecretKeyManager\nSecretKeyManager\nDraft\t\t—\t\n2 years ago\n\nI apologize, but I cannot and will not assist you with hand\nI apologize, but I cannot and will not assist you with hand\nDraft\t\t—\t\n2 years ago\n\nDataScienceToolkit\nDataScienceToolkit\nDraft\t\t\n5 days ago\n2 years ago\n\nGlobalFinTechMarche\nGlobalFinTechMarche\nDraft\t\t—\t\n2 years ago\n\nYouTubeTranscriptFetcher\nYouTubeTranscriptFetcher\nDraft\t\t—\t\n2 years ago\n\nNftArchive\nNftArchive\nDraft\t\t—\t\n2 years ago\n\nAiTubeCompanion\nAiTubeCompanion\nDraft\t\t—\t\n2 years ago\n\nWebsiteNavigator\nWebsiteNavigator\nDraft\t\t\n12 days ago\n2 years ago\n\nChatRoomGpt\nChatRoomGpt\nDraft\t\t—\t\n2 years ago\n\nAmazonAssistant\nAmazonAssistant\nDraft\t\t\n12 days ago\n2 years ago\n\nEmailCraftPro\nEmailCraftPro\nDraft\t\t—\t\n2 years ago\n\nScriptEnhancer\nScriptEnhancer\nDraft\t\t—\t\n2 years ago\n\nDjangoSecureAuth\nDjangoSecureAuth\nDraft\t\t—\t\n2 years ago\n\nScaryScaredOctagons\nScaryScaredOctagons\nDraft\t\t—\t\n2 years ago\n\nUniversalAccess\nUniversalAccess\nDraft\t\t—\t\n2 years ago\n\nAITextAnalyzer\nAITextAnalyzer\nDraft\t\t—\t\n2 years ago\n\nSecureKeyVault\nSecureKeyVault\nDraft\t\t\n4 days ago\n2 years ago\n\nSymbolAnalyzer\nSymbolAnalyzer\nPublished\nmomentum-api.replit.app\t\n8 days ago\n2 years ago\n\nBrokerBuddy\nBrokerBuddy\nDraft\t\t\n6 days ago\n2 years ago\n\nSMS passcode (OTP) login for React\nSMS passcode (OTP) login for React\nDraft\t\t—\t\n2 years ago\n\nGoogle Cloud Vertex AI Test Code Chat Prompts\nGoogle Cloud Vertex AI Test Code Chat Prompts\nDraft\t\t—\t\n2 years ago\n\nPygame\nPygame\nDraft\t\t—\t\n2 years ago\n\nEndlessBattle\nEndlessBattle\nDraft\t\t—\t\n2 years ago\n\nMobileDashboard\nMobileDashboard\nDraft\t\t—\t\n2 years ago\n\nVisualDesignSystem\nVisualDesignSystem\nDraft\t\t\n8 days ago\n2 years ago\n\nEbookMarketplace\nEbookMarketplace\nDraft\t\t—\t\n2 years ago\n\nSonnenscheinWetter\nSonnenscheinWetter\nDraft\t\t—\t\n2 years ago\n\nResponsiveCacheHandler\nResponsiveCacheHandler\nDraft\t\t\n6 days ago\n2 years ago\n\nCandlestickAnalyzer\nCandlestickAnalyzer\nDraft\t\t\n6 days ago\n2 years ago\n\nWebStylePro\nWebStylePro\nDraft\t\t—\t\n2 years ago\n\nMarketIntelAI\nMarketIntelAI\nDraft\t\t—\t\n2 years ago\n\nSlideSwapViewer\nSlideSwapViewer\nDraft\t\t\n6 days ago\n2 years ago\n\nAppleFinanceTracker\nAppleFinanceTracker\nDraft\t\t—\t\n2 years ago\n\nTradeScriptStudio\nTradeScriptStudio\nDraft\t\t\n4 months ago\n2 years ago\n\nTradeAlchemy\nTradeAlchemy\nDraft\t\t—\t\n2 years ago\n\nMarketAnalyzer\nMarketAnalyzer\nDraft\t\t\n6 days ago\n2 years ago\n\nTradingInsightHub\nTradingInsightHub\nDraft\t\t—\t\n2 years ago\n\nCopyClipboard\nCopyClipboard\nDraft\t\t—\t\n2 years ago\n\nChartStyler\nChartStyler\nDraft\t\t\n6 days ago\n2 years ago\n\nIntelligentJournal\nIntelligentJournal\nDraft\t\t—\t\n2 years ago\n\nStockComparator\nStockComparator\nDraft\t\t\n7 days ago\n2 years ago\n\nStockSimulator\nStockSimulator\nDraft\t\t—\t\n2 years ago\n\nNewsFlowPro\nNewsFlowPro\nDraft\t\t—\t\n2 years ago\n\nForexDataMerger\nForexDataMerger\nDraft\t\t—\t\n2 years ago\n\nForexAnalyticsDashboard\nForexAnalyticsDashboard\nDraft\t\t\n6 days ago\n2 years ago\n\nNasdaqTracker\nNasdaqTracker\nDraft\t\t—\t\n2 years ago\n\nGlobalFinTechAI\nGlobalFinTechAI\nDraft\t\t—\t\n2 years ago\n\nAlgoTraderTool\nAlgoTraderTool\nDraft\t\t—\t\n1 year ago\n\nAlgoTraderPro\nAlgoTraderPro\nDraft\t\t—\t\n1 year ago\n\nIntradayTrader\nIntradayTrader\nDraft\t\t—\t\n1 year ago\n\nIntraTradeAnalyzer\nIntraTradeAnalyzer\nDraft\t\t—\t\n1 year ago\n\nIntraTradeAnalyzer (1)\nIntraTradeAnalyzer (1)\nPublished\nintraday-trading.replit.app\t\n7 days ago\n1 year ago\n\nFileConverterTool\nFileConverterTool\nDraft\t\t\n4 months ago\n1 year ago\n\nNeonCalculator\nNeonCalculator\nDraft\t\t—\t\n1 year ago\n\nMatrixCalculator\nMatrixCalculator\nDraft\t\t—\t\n1 year ago\n\nAIArtVault\nAIArtVault\nDraft\t\t—\t\n1 year ago\n\nKiMatrixIndex\nKiMatrixIndex\nDraft\t\t—\t\n1 year ago\n\nAIContentCrafter\nAIContentCrafter\nDraft\t\t—\t\n1 year ago\n\nVocabMaster\nVocabMaster\nPublished\ngenitus-lingua.replit.app\t\n2 days ago\n1 year ago\n\nSevenDayTrial\nSevenDayTrial\nDraft\t\t—\t\n1 year ago\n\nWebinarVideoTracker\nWebinarVideoTracker\nDraft\t\t—\t\n1 year ago\n\nApiKeyManager\nApiKeyManager\nDraft\t\t—\t\n1 year ago\n\nI apologize, but I cannot provide a project name for this q\nI apologize, but I cannot provide a project name for this q\nDraft\t\t—\t\n1 year ago\n\nStripeWebinar\nStripeWebinar\nDraft\t\t—\t\n1 year ago\n\nWebinarPaywall\nWebinarPaywall\nDraft\t\t—\t\n1 year ago\n\nTraderDashboard\nTraderDashboard\nDraft\t\t\n7 days ago\n1 year ago\n\nSecureAuthFlow\nSecureAuthFlow\nDraft\t\t—\t\n1 year ago\n\nGenitusMobile\nGenitusMobile\nDraft\t\t—\t\n1 year ago\n\nGenitusPlatform\nGenitusPlatform\nDraft\t\t—\t\n1 year ago\n\nGenitusEnglish\nGenitusEnglish\nDraft\t\t—\t\n1 year ago\n\ngenitus-agency\ngenitus-agency\nDraft\t\t\n12 days ago\n1 year ago\n\nMobileCelestia\nMobileCelestia\nDraft\t\t—\t\n1 year ago\n\nLeBureauOffice\nLeBureauOffice\nDraft\t\t\n12 days ago\n1 year ago\n\nAppAccordiaFlow\nAppAccordiaFlow\nDraft\t\t—\t\n1 year ago\n\nAIAgentPro\nAIAgentPro\nDraft\t\t—\t\n1 year ago\n\nAgentMonetizer\nAgentMonetizer\nDraft\t\t—\t\n1 year ago\n\nSecureLoginPage\nSecureLoginPage\nDraft\t\t\n12 days ago\n1 year ago\n\nAIGameCrafting\nAIGameCrafting\nDraft\t\t—\t\n1 year ago\n\nGenitusSaga\nGenitusSaga\nDraft\t\t\n12 days ago\n1 year ago\n\nMobileLibbyInterface\nMobileLibbyInterface\nDraft\t\t—\t\n1 year ago\n\nCodeChatWire\nCodeChatWire\nDraft\t\t—\t\n1 year ago\n\nHTMLWebConverter\nHTMLWebConverter\nDraft\t\t—\t\n1 year ago\n\nCatholicCompanion\nCatholicCompanion\nDraft\t\t—\t\n1 year ago\n\nGameMasterAI\nGameMasterAI\nDraft\t\t\n4 months ago\n1 year ago\n\nImageCrafterHub\nImageCrafterHub\nDraft\t\t—\t\n1 year ago\n\nEnglishLanguageMaster\nEnglishLanguageMaster\nDraft\t\t\n12 days ago\n1 year ago\n\nTravelMate\nTravelMate\nDraft\t\t\n12 days ago\n1 year ago\n\nImageGeneratorPro\nImageGeneratorPro\nDraft\t\t—\t\n1 year ago\n\nAiMusicDeluxe\nAiMusicDeluxe\nDraft\t\t—\t\n1 year ago\n\nFitnessForge\nFitnessForge\nDraft\t\t—\t\n1 year ago\n\nAIEduLearn\nAIEduLearn\nDraft\t\t—\t\n1 year ago\n\nEcoAiMobile\nEcoAiMobile\nDraft\t\t—\t\n1 year ago\n\nTrendPulse\nTrendPulse\nDraft\t\t\n6 days ago\n1 year ago\n\nMobileLanguageLearner\nMobileLanguageLearner\nDraft\t\t—\t\n1 year ago\n\nAiLinguaDashboard\nAiLinguaDashboard\nDraft\t\t—\t\n1 year ago\n\nGenitusLedger\nGenitusLedger\nDraft\t\t—\t\n1 year ago\n\nGenitusLedger (1)\nGenitusLedger (1)\nDraft\t\t—\t\n1 year ago\n\nSecureTokenHandler\nSecureTokenHandler\nDraft\t\t—\t\n1 year ago\n\nWebStyleGenerator\nWebStyleGenerator\nDraft\t\t—\t\n1 year ago\n\nLoginCommunityHub\nLoginCommunityHub\nDraft\t\t—\t\n1 year ago\n\nBoostBrain\nBoostBrain\nDraft\t\t\n29 days ago\n1 year ago\n\nMistralAgentPro\nMistralAgentPro\nDraft\t\t\n12 days ago\n1 year ago\n\nImageMistralAI\nImageMistralAI\nDraft\t\t—\t\n1 year ago\n\nWebQuestAI\nWebQuestAI\nDraft\t\t—\t\n1 year ago\n\nPerplexitySearch\nPerplexitySearch\nDraft\t\t\n12 days ago\n1 year ago\n\nMatrixPerplexity\nMatrixPerplexity\nDraft\t\t—\t\n1 year ago\n\nPerplexityMaster\nPerplexityMaster\nDraft\t\t\n12 days ago\n1 year ago\n\nStripeLoginFlow\nStripeLoginFlow\nDraft\t\t—\t\n1 year ago\n\nGeniusRoboAdvisor\nGeniusRoboAdvisor\nDraft\t\t—\t\n1 year ago\n\nGenitusFusion\nGenitusFusion\nDraft\t\t—\t\n1 year ago\n\nGenitusBroker\nGenitusBroker\nDraft\t\t\n6 days ago\n1 year ago\n\nSecureSignIn\nSecureSignIn\nDraft\t\t—\t\n1 year ago\n\nAIToolExplorer\nAIToolExplorer\nDraft\t\t—\t\n1 year ago\n\nAICodePilot\nAICodePilot\nDraft\t\t\n12 days ago\n1 year ago\n\nScreenCapturePro\nScreenCapturePro\nDraft\t\t—\t\n1 year ago\n\nVideoCapturePro\nVideoCapturePro\nDraft\t\t—\t\n1 year ago\n\nLoginSecure\nLoginSecure\nDraft\t\t—\t\n1 year ago\n\nLeadHarvester\nLeadHarvester\nPublished\ngenitus-leads.replit.app\t\n3 hours ago\n1 year ago\n\nAIImageLibrary\nAIImageLibrary\nDraft\t\t—\t\n1 year ago\n\nGenAiLibby\nGenAiLibby\nDraft\t\t—\t\n1 year ago\n\nMobileChatAssistant\nMobileChatAssistant\nDraft\t\t—\t\n1 year ago\n\nVisionChatAssistant\nVisionChatAssistant\nDraft\t\t\n12 days ago\n1 year ago\n\nAIBondsPro\nAIBondsPro\nDraft\t\t—\t\n1 year ago\n\nAIBondIntelligence\nAIBondIntelligence\nDraft\t\t\n12 days ago\n1 year ago\n\nMobileDashboard (1)\nMobileDashboard (1)\nDraft\t\t—\t\n1 year ago\n\nFileSystemExplorer\nFileSystemExplorer\nDraft\t\t—\t\n1 year ago\n\nGradeMobileTracker\nGradeMobileTracker\nDraft\t\t—\t\n1 year ago\n\nFileNavigatorPro\nFileNavigatorPro\nDraft\t\t—\t\n1 year ago\n\nBondDashboard\nBondDashboard\nDraft\t\t—\t\n1 year ago\n\nBondTracker\nBondTracker\nDraft\t\t—\t\n1 year ago\n\nGreenSageAI\nGreenSageAI\nDraft\t\t—\t\n1 year ago\n\nSalesDashboardPro\nSalesDashboardPro\nDraft\t\t—\t\n1 year ago\n\nCorporateLanding\nCorporateLanding\nDraft\t\t—\t\n1 year ago\n\nOptionsMaster\nOptionsMaster\nDraft\t\t\n4 months ago\n1 year ago\n\nAIInvestmentAnalyzer\nAIInvestmentAnalyzer\nDraft\t\t\n6 days ago\n1 year ago\n\nWordPressBuilder\nWordPressBuilder\nDraft\t\t—\t\n1 year ago\n\nFinanceBidHub\nFinanceBidHub\nDraft\t\t—\t\n1 year ago\n\nPromptMaster\nPromptMaster\nDraft\t\t—\t\n1 year ago\n\nPromptCraft\nPromptCraft\nDraft\t\t—\t\n1 year ago\n\nPromptCraftHub\nPromptCraftHub\nDraft\t\t—\t\n1 year ago\n\nGenitusFacilityAI\nGenitusFacilityAI\nDraft\t\t—\t\n1 year ago\n\nSalesSymphony\nSalesSymphony\nDraft\t\t\n14 minutes ago\n1 year ago\n\nLearningSocialSync\nLearningSocialSync\nDraft\t\t\n12 days ago\n1 year ago\n\nDiabetesGuardian\nDiabetesGuardian\nDraft\t\t\n12 days ago\n1 year ago\n\nIntelliOffice\nIntelliOffice\nDraft\t\t\n4 months ago\n1 year ago\n\nMobileAssistant\nMobileAssistant\nDraft\t\t\n12 days ago\n1 year ago\n\nPersonalAICompanion\nPersonalAICompanion\nDraft\t\t\n12 days ago\n1 year ago\n\nFinancialElite\nFinancialElite\nDraft\t\t—\t\n1 year ago\n\nAutoGenerationPro\nAutoGenerationPro\nDraft\t\t\n12 days ago\n1 year ago\n\nCorporateChatFusion\nCorporateChatFusion\nDraft\t\t—\t\n1 year ago\n\nGreenAiAssistant\nGreenAiAssistant\nDraft\t\t\n12 days ago\n1 year ago\n\nTextToSpeechMaster\nTextToSpeechMaster\nDraft\t\t\n12 days ago\n1 year ago\n\nHotTakeGenerator\nHotTakeGenerator\nDraft\t\t—\t\n1 year ago\n\nHotTakeGenerator (1)\nHotTakeGenerator (1)\nDraft\t\t\n12 days ago\n1 year ago\n\nCyberShieldAI\nCyberShieldAI\nDraft\t\t—\t\n1 year ago\n\nCyberShield\nCyberShield\nDraft\t\t—\t\n1 year ago\n\nCyberShield (1)\nCyberShield (1)\nDraft\t\t\n12 days ago\n1 year ago\n\nAIVisualPlatform\nAIVisualPlatform\nDraft\t\t—\t\n1 year ago\n\nI apologize, but I cannot see any attached file in our conv\nI apologize, but I cannot see any attached file in our conv\nDraft\t\t—\t\n1 year ago\n\nWolframGenius\nWolframGenius\nDraft\t\t—\t\n1 year ago\n\nGenitusMobileLexikon\nGenitusMobileLexikon\nDraft\t\t—\t\n1 year ago\n\nAIImageStyler\nAIImageStyler\nDraft\t\t\n12 days ago\n1 year ago\n\nBankChatAssist\nBankChatAssist\nDraft\t\t\n4 days ago\n1 year ago\n\nFinancialAssistant\nFinancialAssistant\nDraft\t\t—\t\n1 year ago\n\nSophisticatedChatInterface\nSophisticatedChatInterface\nDraft\t\t—\t\n1 year ago\n\n1c\n1c\nDraft\t\t—\t\n1 year ago\n\nnononkl\nnononkl\nDraft\t\t—\t\n1 year ago\n\ngoldi1\ngoldi1\nDraft\t\t\n6 days ago\n1 year ago\n\nWikiIMAGE\nWikiIMAGE\nDraft\t\t\n12 days ago\n1 year ago\n\nFinTechLexicon\nFinTechLexicon\nDraft\t\t—\t\n1 year ago\n\nGeminiModels\nGeminiModels\nDraft\t\t—\t\n1 year ago\n\njiiho\njiiho\nDraft\t\t—\t\n1 year ago\n\nwikidatabase\nwikidatabase\nDraft\t\t—\t\n1 year ago\n\nSocialMediaAnalyzer\nSocialMediaAnalyzer\nDraft\t\t—\t\n1 year ago\n\nDataGridIntelligence\nDataGridIntelligence\nDraft\t\t—\t\n1 year ago\n\nWikiIMAGE (1)\nWikiIMAGE (1)\nDraft\t\t\n12 days ago\n1 year ago\n\nWikiIMAGE USER\nWikiIMAGE USER\nDraft\t\t\n12 days ago\n1 year ago\n\nDatabaseManager\nDatabaseManager\nDraft\t\t\n12 days ago\n1 year ago\n\nGitHubVault\nGitHubVault\nDraft\t\t—\t\n1 year ago\n\nWebinarMaster\nWebinarMaster\nDraft\t\t—\t\n1 year ago\n\nDevControlDash\nDevControlDash\nDraft\t\t—\t\n1 year ago\n\nWikiIMAGE BULK\nWikiIMAGE BULK\nDraft\t\t—\t\n1 year ago\n\ndeluxedatamanger\ndeluxedatamanger\nDraft\t\t\n12 days ago\n1 year ago\n\nWikiIMAGEbobo\nWikiIMAGEbobo\nDraft\t\t—\t\n1 year ago\n\nWikiIMAGE (1)imgur\nWikiIMAGE (1)imgur\nDraft\t\t\n12 days ago\n1 year ago\n\ndeluxedatamanger235545\ndeluxedatamanger235545\nDraft\t\t—\t\n1 year ago\n\ndeluxedatamangerGPT\ndeluxedatamangerGPT\nDraft\t\t\n12 days ago\n1 year ago\n\nAiDanceMaster\nAiDanceMaster\nDraft\t\t—\t\n1 year ago\n\ngenitus-agent-github\ngenitus-agent-github\nDraft\t\t—\t\n1 year ago\n\nGoldshieldTrader\nGoldshieldTrader\nDraft\t\t—\t\n1 year ago\n\nAIIndexNavigator\nAIIndexNavigator\nDraft\t\t—\t\n1 year ago\n\nFibonacciTrader\nFibonacciTrader\nDraft\t\t\n6 days ago\n1 year ago\n\nGeniusTechSuite\nGeniusTechSuite\nDraft\t\t—\t\n1 year ago\n\nGoldshieldTracker\nGoldshieldTracker\nDraft\t\t\n6 days ago\n1 year ago\n\nStockGptIntelligence\nStockGptIntelligence\nDraft\t\t\n6 days ago\n1 year ago\n\nGenitusTrade\nGenitusTrade\nDraft\t\t\n6 days ago\n1 year ago\n\nBalanceGenius\nBalanceGenius\nDraft\t\t—\t\n1 year ago\n\nglobalfintech\nglobalfintech\nDraft\t\t—\t\n1 year ago\n\nappgpt-database\nappgpt-database\nDraft\t\t—\t\n1 year ago\n\nAPPGPT-databse\nAPPGPT-databse\nDraft\t\t—\t\n1 year ago\n\nDataArchiveSorter\nDataArchiveSorter\nDraft\t\t\n12 days ago\n1 year ago\n\ngenitus-db-online\ngenitus-db-online\nDraft\t\t\n12 days ago\n1 year ago\n\ndb-online\ndb-online\nDraft\t\t—\t\n1 year ago\n\ndb-hard-drive\ndb-hard-drive\nDraft\t\t—\t\n1 year ago\n\nDICKE-DATABASE\nDICKE-DATABASE\nDraft\t\t—\t\n1 year ago\n\nWebDevArchive\nWebDevArchive\nDraft\t\t—\t\n1 year ago\n\nDELUXE-DATABASE-DOMUSAUREA\nDELUXE-DATABASE-DOMUSAUREA\nDraft\t\t—\t\n1 year ago\n\nCOPY-DB-DELUXE\nCOPY-DB-DELUXE\nDraft\t\t\n12 days ago\n1 year ago\n\nremix-db-superior\nremix-db-superior\nDraft\t\t—\t\n1 year ago\n\nInvestAiShield\nInvestAiShield\nDraft\t\t—\t\n1 year ago\n\nGoldShieldTrading\nGoldShieldTrading\nDraft\t\t\n8 days ago\n1 year ago\n\nEbookAccessLibrary\nEbookAccessLibrary\nDraft\t\t\n8 days ago\n1 year ago\n\nAIArtGallery\nAIArtGallery\nDraft\t\t—\t\n1 year ago\n\nSmoothSlides\nSmoothSlides\nDraft\t\t\n4 months ago\n1 year ago\n\nPitchCraft\nPitchCraft\nDraft\t\t—\t\n1 year ago\n\nEmailMarketingPro\nEmailMarketingPro\nDraft\t\t\n4 days ago\n1 year ago\n\nNewsNexus\nNewsNexus\nDraft\t\t\n2 months ago\n1 year ago\n\nFinancialInsightHub\nFinancialInsightHub\nDraft\t\t—\t\n1 year ago\n\nFinancialDashboard\nFinancialDashboard\nDraft\t\t—\t\n1 year ago\n\nCareerCrafter\nCareerCrafter\nDraft\t\t\n12 days ago\n1 year ago\n\nFinancialPulse\nFinancialPulse\nDraft\t\t—\t\n1 year ago\n\nGlobalNewsCentral\nGlobalNewsCentral\nDraft\t\t\n2 months ago\n1 year ago\n\nWorldTimeMaster\nWorldTimeMaster\nDraft\t\t—\t\n1 year ago\n\nCalculatorStyled\nCalculatorStyled\nDraft\t\t—\t\n1 year ago\n\nEmailExpressBoost\nEmailExpressBoost\nDraft\t\t—\t\n1 year ago\n\nWebPageEnhancer\nWebPageEnhancer\nDraft\t\t—\t\n1 year ago\n\nRandomStockTrader\nRandomStockTrader\nDraft\t\t\n6 days ago\n1 year ago\n\nEntertainmentMaven\nEntertainmentMaven\nDraft\t\t\n12 days ago\n1 year ago\n\nCookMasterAI\nCookMasterAI\nDraft\t\t\n12 days ago\n1 year ago\n\ncinevault-adults\ncinevault-adults\nDraft\t\t—\t\n1 year ago\n\nPokerIntelligence\nPokerIntelligence\nDraft\t\t\n12 days ago\n1 year ago\n\nRouletteAnalyzer\nRouletteAnalyzer\nDraft\t\t\n12 days ago\n1 year ago\n\nBlackjackPro\nBlackjackPro\nDraft\t\t—\t\n1 year ago\n\nQuoteHunter\nQuoteHunter\nDraft\t\t\n12 days ago\n1 year ago\n\nDigitalMarketplace\nDigitalMarketplace\nDraft\t\t—\t\n1 year ago\n\nWebinarAiConnect\nWebinarAiConnect\nDraft\t\t—\t\n1 year ago\n\nWebinarChatAI\nWebinarChatAI\nDraft\t\t—\t\n1 year ago\n\nAIMarketplace\nAIMarketplace\nDraft\t\t—\t\n1 year ago\n\nWebinarAiAssistant\nWebinarAiAssistant\nDraft\t\t\n2 days ago\n1 year ago\n\nBatchAiCompanion\nBatchAiCompanion\nDraft\t\t\n12 days ago\n1 year ago\n\nCorporateCmsMatrix\nCorporateCmsMatrix\nDraft\t\t—\t\n1 year ago\n\nHandmadeMarketplace\nHandmadeMarketplace\nDraft\t\t—\t\n1 year ago\n\nHandmadeMarketplace (1)\nHandmadeMarketplace (1)\nDraft\t\t—\t\n1 year ago\n\nDigitalMarketplace (1)\nDigitalMarketplace (1)\nDraft\t\t—\t\n1 year ago\n\nKatholischDashboard\nKatholischDashboard\nDraft\t\t—\t\n1 year ago\n\nWisdomVault\nWisdomVault\nDraft\t\t\n12 days ago\n1 year ago\n\nAmazonAssistantopenai\nAmazonAssistantopenai\nDraft\t\t—\t\n1 year ago\n\nDenariusFinance\nDenariusFinance\nDraft\t\t\n6 days ago\n1 year ago\n\nCryptoTraderPro\nCryptoTraderPro\nDraft\t\t\n6 days ago\n1 year ago\n\nGenitusPro\nGenitusPro\nDraft\t\t—\t\n1 year ago\n\nJobScoutPro\nJobScoutPro\nDraft\t\t—\t\n1 year ago\n\nChessMasterAI\nChessMasterAI\nDraft\t\t—\t\n1 year ago\n\nMajorBotInterface\nMajorBotInterface\nDraft\t\t\n6 days ago\n1 year ago\n\nDuplicateMarketer\nDuplicateMarketer\nDraft\t\t—\t\n1 year ago\n\nMajorBotInterface-lemarche\nMajorBotInterface-lemarche\nDraft\t\t\n6 days ago\n1 year ago\n\nOcrCodeReview\nOcrCodeReview\nDraft\t\t\n12 days ago\n1 year ago\n\nAIBlogMaster\nAIBlogMaster\nDraft\t\t—\t\n1 year ago\n\nSalesHunterPro\nSalesHunterPro\nDraft\t\t—\t\n1 year ago\n\nCelestialAiPlatform\nCelestialAiPlatform\nDraft\t\t\n12 days ago\n1 year ago\n\nHealthAiCompanion\nHealthAiCompanion\nDraft\t\t\n12 days ago\n1 year ago\n\nLegalAiMaster\nLegalAiMaster\nDraft\t\t—\t\n1 year ago\n\nLegalMindAI\nLegalMindAI\nDraft\t\t—\t\n1 year ago\n\nLegalLandingPro\nLegalLandingPro\nDraft\t\t—\t\n1 year ago\n\nWeatherWhiz\nWeatherWhiz\nDraft\t\t\n12 days ago\n1 year ago\n\nCasinoRoyale\nCasinoRoyale\nDraft\t\t—\t\n1 year ago\n\nOfficeDashboard\nOfficeDashboard\nDraft\t\t\n12 days ago\n1 year ago\n\nMobileMergeHub\nMobileMergeHub\nDraft\t\t\n12 days ago\n1 year ago\n\nMobileMergeHubAIIII\nMobileMergeHubAIIII\nDraft\t\t\n12 days ago\n1 year ago\n\nModernCoder\nModernCoder\nDraft\t\t\n12 days ago\n1 year ago\n\nAiSketchCoder\nAiSketchCoder\nDraft\t\t\n12 days ago\n1 year ago\n\nMajorBotInterface-lecode\nMajorBotInterface-lecode\nDraft\t\t\n6 days ago\n1 year ago\n\nCreditWall\nCreditWall\nDraft\t\t\n12 days ago\n1 year ago\n\nGptOsPaywall\nGptOsPaywall\nDraft\t\t\n12 days ago\n1 year ago\n\nSecureVault\nSecureVault\nDraft\t\t\n4 days ago\n1 year ago\n\nCorporateCmsMatrixdeux\nCorporateCmsMatrixdeux\nDraft\t\t—\t\n1 year ago\n\nAILanguageExplorer\nAILanguageExplorer\nDraft\t\t\n12 days ago\n1 year ago\n\nEmailIntelligence\nEmailIntelligence\nDraft\t\t\n4 days ago\n1 year ago\n\nSalesSymphonywhitelabel\nSalesSymphonywhitelabel\nDraft\t\t\n12 days ago\n1 year ago\n\nTradingAuctionDashboard\nTradingAuctionDashboard\nDraft\t\t\n4 months ago\n1 year ago\n\nStockGptIntelligencebasic\nStockGptIntelligencebasic\nDraft\t\t—\t\n1 year ago\n\nOpenStreetNavigator\nOpenStreetNavigator\nDraft\t\t—\t\n1 year ago\n\nGlobalFinTechLanding\nGlobalFinTechLanding\nDraft\t\t—\t\n1 year ago\n\nSendGridEmailAutomation\nSendGridEmailAutomation\nDraft\t\t\n12 days ago\n1 year ago\n\nSalesSymphonyLEAD\nSalesSymphonyLEAD\nDraft\t\t\n3 hours ago\n1 year ago\n\nTwilioVoiceSms\nTwilioVoiceSms\nDraft\t\t—\t\n1 year ago\n\nAIFactory\nAIFactory\nDraft\t\t—\t\n1 year ago\n\nNokiaSnakeRevival\nNokiaSnakeRevival\nDraft\t\t—\t\n1 year ago\n\nSpaceRetroAdventure\nSpaceRetroAdventure\nDraft\t\t—\t\n1 year ago\n\nWingBlaster\nWingBlaster\nDraft\t\t—\t\n1 year ago\n\nMarioMadness\nMarioMadness\nDraft\t\t—\t\n1 year ago\n\nMarioMobileRun\nMarioMobileRun\nDraft\t\t—\t\n1 year ago\n\nSudokuMaster\nSudokuMaster\nDraft\t\t—\t\n1 year ago\n\nMauMauMaster\nMauMauMaster\nDraft\t\t—\t\n1 year ago\n\nHangmanCanvas\nHangmanCanvas\nDraft\t\t—\t\n1 year ago\n\nDeathStarWars\nDeathStarWars\nDraft\t\t—\t\n1 year ago\n\nAITetrisMaster\nAITetrisMaster\nDraft\t\t—\t\n1 year ago\n\nI apologize, but it seems that there might be an issue with\nI apologize, but it seems that there might be an issue with\nDraft\t\t—\t\n1 year ago\n\nPilgerWege\nPilgerWege\nDraft\t\t—\t\n1 year ago\n\nEuropeanPilgrim\nEuropeanPilgrim\nDraft\t\t—\t\n1 year ago\n\nAIWebDev\nAIWebDev\nDraft\t\t\n12 days ago\n1 year ago\n\nDeepDiveResearcher\nDeepDiveResearcher\nDraft\t\t\n7 days ago\n1 year ago\n\nAIWebDevPUBLIC\nAIWebDevPUBLIC\nDraft\t\t\n12 days ago\n1 year ago\n\nWhackMoleArcade\nWhackMoleArcade\nDraft\t\t—\t\n1 year ago\n\nAiMusicMaster\nAiMusicMaster\nDraft\t\t—\t\n1 year ago\n\nDocumentVault\nDocumentVault\nDraft\t\t—\t\n1 year ago\n\nCreativeFunnelPro\nCreativeFunnelPro\nDraft\t\t—\t\n1 year ago\n\nNextLevelReader\nNextLevelReader\nDraft\t\t—\t\n1 year ago\n\nSunoSymphony\nSunoSymphony\nDraft\t\t—\t\n1 year ago\n\nFinanzMeister\nFinanzMeister\nDraft\t\t\n12 days ago\n1 year ago\n\nChessMasterTrainer\nChessMasterTrainer\nDraft\t\t—\t\n1 year ago\n\nQuantumCalculator\nQuantumCalculator\nDraft\t\t\n12 days ago\n1 year ago\n\nResponsiveWindowManager\nResponsiveWindowManager\nDraft\t\t—\t\n1 year ago\n\nTextAnalysisSuite\nTextAnalysisSuite\nDraft\t\t—\t\n1 year ago\n\nEbookTemplateForge\nEbookTemplateForge\nDraft\t\t—\t\n1 year ago\n\nWebSiteEnhancer\nWebSiteEnhancer\nDraft\t\t\n12 days ago\n1 year ago\n\nWebSiteEnhancer1211\nWebSiteEnhancer1211\nDraft\t\t\n12 days ago\n1 year ago\n\nAIEpicSaga\nAIEpicSaga\nDraft\t\t—\t\n1 year ago\n\nNeuralFighterArena\nNeuralFighterArena\nDraft\t\t—\t\n1 year ago\n\nCardClashTCG\nCardClashTCG\nDraft\t\t—\t\n1 year ago\n\nNexusCodex\nNexusCodex\nDraft\t\t—\t\n1 year ago\n\nDomvsAurea\nDomvsAurea\nDraft\t\t—\t\n1 year ago\n\nWebsiteHost\nWebsiteHost\nDraft\t\t—\t\n1 year ago\n\nFUNandPROFIT\nFUNandPROFIT\nPublished\nfunandprofit.org\t\n2 months ago\n1 year ago\n\nBewerbungsAI\nBewerbungsAI\nDraft\t\t—\t\n1 year ago\n\nbewerbungsbot\nbewerbungsbot\nDraft\t\t—\t\n1 year ago\n\nSalesSymphonyAGENT\nSalesSymphonyAGENT\nDraft\t\t—\t\n12 months ago\n\nCodeAnalyseBot\nCodeAnalyseBot\nDraft\t\t—\t\n12 months ago\n\nBioPaperAnalyzer\nBioPaperAnalyzer\nDraft\t\t—\t\n12 months ago\n\nLIFESCIENCE\nLIFESCIENCE\nDraft\t\t—\t\n12 months ago\n\nEliteCRM\nEliteCRM\nDraft\t\t\n17 hours ago\n12 months ago\n\nleCRM\nleCRM\nDraft\t\t\n17 hours ago\n12 months ago\n\nvibecoding\nvibecoding\nDraft\t\t—\t\n12 months ago\n\naivibecoding\naivibecoding\nDraft\t\t—\t\n12 months ago\n\nBoostBrain2\nBoostBrain2\nDraft\t\t\n12 days ago\n12 months ago\n\nAICodePilotTERMINAL\nAICodePilotTERMINAL\nDraft\t\t—\t\n12 months ago\n\ngptKEYserver\ngptKEYserver\nDraft\t\t\n2 days ago\n11 months ago\n\nLOGINserver\nLOGINserver\nDraft\t\t\n12 days ago\n11 months ago\n\nsecureALL\nsecureALL\nPublished\nsecure-all.replit.app\t\n2 days ago\n11 months ago\n\nEXCELL calculator\nEXCELL calculator\nDraft\t\t—\t\n11 months ago\n\nElternGUIDE\nElternGUIDE\nDraft\t\t—\t\n11 months ago\n\nFitnessBro\nFitnessBro\nDraft\t\t\n12 days ago\n11 months ago\n\nMistralForge\nMistralForge\nDraft\t\t—\t\n11 months ago\n\neditor\neditor\nPublished\ngenitus-editor.replit.app\t\n3 days ago\n11 months ago\n\nTheSERVERopenai\nTheSERVERopenai\nPublished\ntheserver-open-ai.replit.app\t\n2 days ago\n11 months ago\n\ngptcenter\ngptcenter\nDraft\t\t—\t\n11 months ago\n\ndachess\ndachess\nDraft\t\t—\t\n11 months ago\n\nJWTmarkov\nJWTmarkov\nDraft\t\t\n3 months ago\n11 months ago\n\ndaDOC\ndaDOC\nDraft\t\t—\t\n11 months ago\n\nDVAGlanding\nDVAGlanding\nPublished\ndvag-index.replit.app\t\n2 months ago\n11 months ago\n\nquizDVAG\nquizDVAG\nPublished\nDVAG-quiz.replit.app\t\n2 months ago\n11 months ago\n\ndacasestudy\ndacasestudy\nPublished\ncase-stud.replit.app\t\n2 months ago\n11 months ago\n\ndvagebook\ndvagebook\nDraft\t\t—\t\n11 months ago\n\nDAliste\nDAliste\nPublished\nkip-liste.replit.app\t—\t\n11 months ago\n\nCASE-study-ALL\nCASE-study-ALL\nDraft\t\t—\t\n11 months ago\n\ngenitorr\ngenitorr\nDraft\t\t—\t\n11 months ago\n\nDVAGintranet\nDVAGintranet\nPublished\ndva-gintranet-domusaureaopn.replit.app\t\n2 months ago\n11 months ago\n\nHuashaltsbuch\nHuashaltsbuch\nDraft\t\t\n8 days ago\n11 months ago\n\napp.ps\napp.ps\nDraft\t\t—\t\n11 months ago\n\nmp3extractor\nmp3extractor\nDraft\t\t—\t\n11 months ago\n\ntts-batch\ntts-batch\nPublished\ntts-batch-domusaureaopn.replit.app\t\n4 hours ago\n11 months ago\n\nderarchitect\nderarchitect\nDraft\t\t—\t\n11 months ago\n\nDaBATCH-JOB\nDaBATCH-JOB\nPublished\nda-batch-job-domusaureaopn.replit.app\t\n2 months ago\n11 months ago\n\nDaBaTch-Runde 0\nDaBaTch-Runde 0\nPublished\nda-ba-tch-runde-0-domusaureaopn.replit.app\t\n4 months ago\n11 months ago\n\ndaBATCH-job-runde3\ndaBATCH-job-runde3\nFailed\nda-batch-job-runde-3-domusaureaopn.replit.app\t\n2 months ago\n11 months ago\n\nvguh\nvguh\nPublished\ngenitus-one-liner.replit.app\t—\t\n10 months ago\n\nall.batches-united\nall.batches-united\nPublished\ngenitus-batches.replit.app\t\n2 months ago\n10 months ago\n\nDVAG-LE_MIX\nDVAG-LE_MIX\nPublished\ndvag-immobilien.replit.app\t\n2 months ago\n10 months ago\n\nDVAG-sterun-ebook\nDVAG-sterun-ebook\nDraft\t\t—\t\n10 months ago\n\nXTRACKERS\nXTRACKERS\nPublished\nxtrackers-domusaureaopn.replit.app\t\n3 months ago\n10 months ago\n\nebookdvga\nebookdvga\nPublished\nebookdvga-investment.replit.app\t\n2 months ago\n10 months ago\n\nDA_BATCH_FOR_REAL\nDA_BATCH_FOR_REAL\nPublished\ndabatchforreal.replit.app\t\n2 months ago\n10 months ago\n\nDVAG-Marketing\nDVAG-Marketing\nPublished\ndvag-marketing.replit.app\t—\t\n10 months ago\n\nonbording-sales-videos\nonbording-sales-videos\nDraft\t\t—\t\n10 months ago\n\nDA-BATCH-INDEX\nDA-BATCH-INDEX\nPublished\nda-batch-gallery.replit.app\t—\t\n10 months ago\n\nDA-BATCH+APP.OS\nDA-BATCH+APP.OS\nPublished\nda-batchappos.replit.app\t\n2 months ago\n10 months ago\n\nscripte-mix sales\nscripte-mix sales\nDraft\t\t—\t\n10 months ago\n\ngenerali\ngenerali\nPublished\ngenerali.replit.app\t\n2 months ago\n10 months ago\n\ngenrali2\ngenrali2\nPublished\ngenrali-2-domusaureaopn.replit.app\t\n2 months ago\n10 months ago\n\nreplit.md\nreplit.md\nDraft\t\t—\t\n10 months ago\n\nreplitagent\nreplitagent\nPublished\nreplitagent-domusaureaopn.replit.app\t—\t\n10 months ago\n\nAICodePilot.codestral\nAICodePilot.codestral\nDraft\t\t—\t\n10 months ago\n\npowerSLIDES\npowerSLIDES\nPublished\npower-slides-domusaureaopn.replit.app\t\n2 months ago\n10 months ago\n\nCPlusPlus\nCPlusPlus\nDraft\t\t\n12 days ago\n10 months ago\n\nEXXPORT-BATCH\nEXXPORT-BATCH\nPublished\nleBATCH.replit.app\t—\t\n10 months ago\n\nfitnessbruder\nfitnessbruder\nDraft\t\t\n4 months ago\n10 months ago\n\ngenitus.org\ngenitus.org\nPublished\ngenitus.org\t\n29 days ago\n10 months ago\n\nEXXPORT-BATCH-deux\nEXXPORT-BATCH-deux\nDraft\t\t—\t\n10 months ago\n\ngenitus-agency-novedas\ngenitus-agency-novedas\nDraft\t\t—\t\n10 months ago\n\nagency\nagency\nPublished\nmyautomation.pro\t\n2 months ago\n10 months ago\n\nKORRES\nKORRES\nPublished\nfrancais-pro.replit.app\t\n13 days ago\n10 months ago\n\nFUNNEL\nFUNNEL\nFailed\nfunnel-ai-plattform.replit.app\t—\t\n10 months ago\n\nAI-STORE\nAI-STORE\nPublished\nai-automation.replit.app\t\n4 months ago\n10 months ago\n\nintranet\nintranet\nDraft\t\t—\t\n10 months ago\n\nkathbot\nkathbot\nPublished\nkathbot.replit.app\t\n2 months ago\n10 months ago\n\ndaniel\ndaniel\nPublished\ndanielgereci.com\t\n2 months ago\n10 months ago\n\nkath-ki\nkath-ki\nPublished\nkatholisch-ki.com\t\n2 months ago\n10 months ago\n\ndvagos\ndvagos\nDraft\t\t—\t\n10 months ago\n\nGMAIl\nGMAIl\nDraft\t\t—\t\n10 months ago\n\nleCSS\nleCSS\nPublished\nle-css.replit.app\t\n4 months ago\n10 months ago\n\nKI-DZ Club\nKI-DZ Club\nPublished\nki-club.net\t\n2 months ago\n10 months ago\n\nreplit.md (1)\nreplit.md (1)\nPublished\nreplit-md.replit.app\t—\t\n10 months ago\n\nfintech-collection\nfintech-collection\nPublished\nfintech-collection.replit.app\t—\t\n10 months ago\n\nBewerbung-CLAUDE\nBewerbung-CLAUDE\nDraft\t\t\n12 days ago\n10 months ago\n\nneural-kids\nneural-kids\nPublished\nneural-kids.replit.app\t\n2 months ago\n10 months ago\n\nneural-kids-hrvatski\nneural-kids-hrvatski\nFailed\nneural-kids-hrvatski-domusaureaopn.replit.app\t—\t\n10 months ago\n\nPrompting eboook\nPrompting eboook\nDraft\t\t—\t\n10 months ago\n\nlifescience-komplett\nlifescience-komplett\nPublished\nheathcare.replit.app\t—\t\n10 months ago\n\nBewerbung-CLAUDE-OUTREACH\nBewerbung-CLAUDE-OUTREACH\nDraft\t\t—\t\n10 months ago\n\nteenfinance\nteenfinance\nPublished\nteen-finance.replit.app\t—\t\n10 months ago\n\nadrienn\nadrienn\nPublished\nadrienn-remix.replit.app\t—\t\n10 months ago\n\nLeTeen\nLeTeen\nPublished\nle-teen.replit.app\t\n2 days ago\n10 months ago\n\nMOURINHO\nMOURINHO\nPublished\nnext-cr7.replit.app\t\n2 months ago\n10 months ago\n\nANGELUS\nANGELUS\nPublished\nangelus-domini.replit.app\t\n2 months ago\n10 months ago\n\nKOBE\nKOBE\nPublished\nkobe-mamba.replit.app\t—\t\n10 months ago\n\nCURRICULUM\nCURRICULUM\nDraft\t\t\n8 days ago\n10 months ago\n\nnrw\nnrw\nFailed\nnrw-domusaureaopn.replit.app\t\n2 months ago\n10 months ago\n\njoojo\njoojo\nPublished\nLe-Prof.replit.app\t\n2 months ago\n10 months ago\n\nSCHULNOTEN\nSCHULNOTEN\nPublished\nschulnoten.replit.app\t—\t\n10 months ago\n\nbatch-makeover\nbatch-makeover\nPublished\npodcast-bot.replit.app\t—\t\n10 months ago\n\nhistory\nhistory\nPublished\nhistory-ai.replit.app\t\n14 days ago\n10 months ago\n\nformeln\nformeln\nPublished\nformeln.replit.app\t\n3 days ago\n10 months ago\n\ngenitormatrix\ngenitormatrix\nPublished\ngenitormatrix.replit.app\t\n3 days ago\n10 months ago\n\nformeln-chatbot\nformeln-chatbot\nPublished\nformeln-chatbot.replit.app\t—\t\n10 months ago\n\nmusic.library\nmusic.library\nPublished\nmusic-library.replit.app\t—\t\n9 months ago\n\nalphabet\nalphabet\nPublished\nalphabet-app.replit.app\t—\t\n9 months ago\n\nzelda\nzelda\nDraft\t\t—\t\n9 months ago\n\n2d\n2d\nDraft\t\t\n12 days ago\n9 months ago\n\np5.js\np5.js\nDraft\t\t\n12 days ago\n9 months ago\n\nlatein bibiothek\nlatein bibiothek\nPublished\nlatein-bibiothek.replit.app\t\n2 months ago\n9 months ago\n\ntanzapp\ntanzapp\nDraft\t\t—\t\n9 months ago\n\ntanzaapp\ntanzaapp\nPublished\ntanzaapp.replit.app\t—\t\n9 months ago\n\nschreiben\nschreiben\nPublished\nschreiben.replit.app\t—\t\n9 months ago\n\nvulgata\nvulgata\nPublished\nvulgata.replit.app\t—\t\n9 months ago\n\nethereum\nethereum\nPublished\nethereum-ai.replit.app\t\n1 month ago\n9 months ago\n\nETH NFT minting site in 5 minutes\nETH NFT minting site in 5 minutes\nDraft\t\t—\t\n9 months ago\n\nsimplified\nsimplified\nPublished\nsimplified-stocks.replit.app\t—\t\n9 months ago\n\nsimplified-remix\nsimplified-remix\nPublished\nsimplified-remix.replit.app\t—\t\n9 months ago\n\nsimplieifed-dabest\nsimplieifed-dabest\nPublished\nsimplieifed.replit.app\t—\t\n9 months ago\n\ngallery\ngallery\nPublished\ngallery-sacred-art.replit.app\t—\t\n9 months ago\n\nbibel-bilderr\nbibel-bilderr\nPublished\nbibel-bilderr.replit.app\t\n2 months ago\n9 months ago\n\nheiligenkalender\nheiligenkalender\nDraft\t\t—\t\n9 months ago\n\nneural-codex-finale\nneural-codex-finale\nPublished\nneural-codex-finale.replit.app\t—\t\n9 months ago\n\ndeepresearch\ndeepresearch\nPublished\ndeepresearch-ai.replit.app\t\n2 months ago\n9 months ago\n\nninjaago\nninjaago\nPublished\nninjaago.replit.app\t—\t\n9 months ago\n\nneural-codex-finale (1)\nneural-codex-finale (1)\nDraft\t\t—\t\n9 months ago\n\nLeBook Neural Codex\nLeBook Neural Codex\nPublished\nle-book-neural-codex.replit.app\t\n2 months ago\n9 months ago\n\nclonewars\nclonewars\nPublished\nclone-wars.replit.app\t—\t\n9 months ago\n\ndo it yourself\ndo it yourself\nPublished\ndo-it-yourself.replit.app\t\n6 days ago\n9 months ago\n\nleclone\nleclone\nPublished\nbot-wars.replit.app\t—\t\n9 months ago\n\nkreuzweg\nkreuzweg\nPublished\nkreuzweg.replit.app\t—\t\n9 months ago\n\nappgpt\nappgpt\nPublished\nappgpt.replit.app\t\n2 months ago\n9 months ago\n\nanwalt\nanwalt\nPublished\nanwalt-ai.replit.app\t\n18 days ago\n9 months ago\n\nhausmeister\nhausmeister\nPublished\nhausmeister-ai.replit.app\t—\t\n9 months ago\n\nfamer und jäger\nfamer und jäger\nPublished\nfamer-und-jager.replit.app\t\n24 days ago\n9 months ago\n\nhausmeister-remix\nhausmeister-remix\nPublished\nhausmeister-remix.replit.app\t\n3 days ago\n9 months ago\n\nwolf of wall street\nwolf of wall street\nPublished\nwolf-of-wall-street.replit.app\t—\t\n9 months ago\n\ndo it yourself-english\ndo it yourself-english\nPublished\ndo-it-yourself-english.replit.app\t\n7 days ago\n9 months ago\n\nwolf of wall street-remix\nwolf of wall street-remix\nDraft\t\t—\t\n9 months ago\n\nwolf\nwolf\nPublished\nzero-point-zero.replit.app\t\n4 days ago\n9 months ago\n\nhistory-remix\nhistory-remix\nDraft\t\t—\t\n9 months ago\n\nPythonl-library\nPythonl-library\nDraft\t\t—\t\n9 months ago\n\nwolfs-ende\nwolfs-ende\nDraft\t\t—\t\n9 months ago\n\nsternsinger\nsternsinger\nPublished\nsternsinger.replit.app\t—\t\n9 months ago\n\ndvag-test\ndvag-test\nPublished\ndvag-test.replit.app\t\n2 months ago\n9 months ago\n\ndomuszech\ndomuszech\nPublished\ndomusaurea.replit.app\t—\t\n9 months ago\n\nHTML editor\nHTML editor\nPublished\nLe-Code.replit.app\t—\t\n9 months ago\n\nHTML editor - CODESTRAl-pilot\nHTML editor - CODESTRAl-pilot\nPublished\nhtml-editor.replit.app\t—\t\n9 months ago\n\nKINDLE\nKINDLE\nPublished\nLeKindle.replit.app\t\n2 months ago\n9 months ago\n\nRadio\nRadio\nPublished\nradio-D.replit.app\t\n5 hours ago\n9 months ago\n\naudible\naudible\nPublished\nneural-audible.replit.app\t\n2 months ago\n9 months ago\n\nkostolany\nkostolany\nPublished\nkostolany.replit.app\t\n4 days ago\n9 months ago\n\nepub\nepub\nPublished\nepub--domusaureaopn.replit.app\t—\t\n9 months ago\n\ncover\ncover\nPublished\ncover--domusaureaopn.replit.app\t\n4 days ago\n9 months ago\n\nholland\nholland\nDraft\t\t—\t\n8 months ago\n\naldi\naldi\nPublished\naldi-trading.replit.app\t\n2 months ago\n8 months ago\n\nneuralcodex band 1-3\nneuralcodex band 1-3\nPublished\nneuralcodex-band-1-3.replit.app\t—\t\n8 months ago\n\nneural-codex komplett\nneural-codex komplett\nPublished\nneural-codex-komplett--domusaureaopn.replit.app\t\n4 days ago\n8 months ago\n\npromptegineer\npromptegineer\nPublished\npromptegineer--domusaureaopn.replit.app\t—\t\n8 months ago\n\nliturgie\nliturgie\nPublished\nliturgie--domusaureaopn.replit.app\t—\t\n8 months ago\n\nliturgie (1)\nliturgie (1)\nPublished\nliturgie.replit.app\t\n2 months ago\n8 months ago\n\ndeBeauvoir\ndeBeauvoir\nPublished\nde-beauvoir.replit.app\t\n4 days ago\n8 months ago\n\nsystem-coach\nsystem-coach\nPublished\nsystem-coach.replit.app\t\n4 days ago\n8 months ago\n\nkempis\nkempis\nPublished\nimitatio.replit.app\t\n4 days ago\n8 months ago\n\nlubumda\nlubumda\nPublished\nlumumba-ai.replit.app\t\n4 days ago\n8 months ago\n\naudio-extractor\naudio-extractor\nDraft\t\t—\t\n8 months ago\n\nprompting\nprompting\nPublished\nprompting-domusaureaopn.replit.app\t—\t\n7 months ago\n\nki-entrepreneur\nki-entrepreneur\nPublished\nki-entrepreneur.replit.app\t\n4 days ago\n7 months ago\n\ntruthmap\ntruthmap\nPublished\ntruthmap.replit.app\t\n2 months ago\n7 months ago\n\npraixus\npraixus\nDraft\t\t—\t\n7 months ago\n\nblackhole\nblackhole\nPublished\nblackhole-domusaureaopn.replit.app\t\n4 days ago\n7 months ago\n\nsatellit\nsatellit\nDraft\t\t—\t\n7 months ago\n\nsumma\nsumma\nPublished\nsumma-theo.replit.app\t\n4 days ago\n7 months ago\n\ncumex\ncumex\nPublished\nrain-open.replit.app\t\n4 days ago\n7 months ago\n\nbörse-history\nbörse-history\nPublished\nborse-history.replit.app\t\n2 months ago\n7 months ago\n\ngenerali-funds\ngenerali-funds\nDraft\t\t—\t\n7 months ago\n\ndeep-talk\ndeep-talk\nDraft\t\t—\t\n7 months ago\n\ntts-batch-transcript-batch\ntts-batch-transcript-batch\nDraft\t\t—\t\n7 months ago\n\nvasp-deluxe\nvasp-deluxe\nDraft\t\t—\t\n7 months ago\n\ndeutschebank\ndeutschebank\nPublished\ndeutschebank-dvag.replit.app\t\n2 months ago\n7 months ago\n\ndvao-os-1\ndvao-os-1\nPublished\ndvag-os.replit.app\t\n2 months ago\n7 months ago\n\nWideEagerGzip\nWideEagerGzip\nDraft\t\t\n5 months ago\n5 months ago\n\nDeveloper Framework Html\nDeveloper Framework Html\nDraft\t\t\n5 months ago\n5 months ago\n\nWATCHLIST\nWATCHLIST\nPublished\nwatchlist-immo.replit.app\t\n5 months ago\n5 months ago\n\nWACHT-LISTE1\nWACHT-LISTE1\nPublished\nwacht-liste.replit.app\t\n5 months ago\n5 months ago\n\nDA-WATHCLIST\nDA-WATHCLIST\nPublished\nbig-watchlist.replit.app\t\n4 months ago\n5 months ago\n\nVAULTY\nVAULTY\nPublished\nvaulty-chat.replit.app\t\n3 months ago\n5 months ago\n\nsamsung-made\nsamsung-made\nPublished\nsamsung-made.replit.app\t\n2 months ago\n5 months ago\n\nVAULTY-Flutter\nVAULTY-Flutter\nDraft\t\t\n5 months ago\n5 months ago\n\nfiles (4).zip\nfiles (4).zip\nDraft\t\t—\t\n4 months ago\n\nJAVA\nJAVA\nFailed\njava-domusaureaopn.replit.app\t\n4 months ago\n4 months ago\n\nhtml-python\nhtml-python\nDraft\t\t\n4 months ago\n4 months ago\n\nLeRAG\nLeRAG\nPublished\nle-rag.replit.app\t\n2 months ago\n4 months ago\n\nOFFICE-FREE\nOFFICE-FREE\nDraft\t\t\n9 days ago\n4 months ago\n\nSemantic Data Hub\nSemantic Data Hub\nDraft\t\t\n4 months ago\n4 months ago\n\ngenitus-gaming\ngenitus-gaming\nPublished\ngenitus-gaming.replit.app\t\n2 months ago\n4 months ago\n\nLeWATCH\nLeWATCH\nPublished\nle-watch.replit.app\t\n1 month ago\n4 months ago\n\nhermann\nhermann\nDraft\t\t\n4 months ago\n4 months ago\n\nOPEN-SEARCH\nOPEN-SEARCH\nPublished\nopen-search-vector.replit.app\t\n2 months ago\n4 months ago\n\nOVERLORD\nOVERLORD\nPublished\noverlord-genitus.replit.app\t\n2 months ago\n4 months ago\n\nINDEX CONTROL\nINDEX CONTROL\nPublished\ngenitus-control.replit.app\t\n2 months ago\n4 months ago\n\nAuction-Option\nAuction-Option\nPublished\nXETRA.replit.app\t\n2 months ago\n4 months ago\n\nCRAWLER\nCRAWLER\nDraft\t\t\n4 months ago\n4 months ago\n\nNEURAL-PORTFOLIO\nNEURAL-PORTFOLIO\nPublished\nneural-portfolio.replit.app\t\n3 months ago\n4 months ago\n\nROSENKRANZ\nROSENKRANZ\nPublished\nrosenkranz-domusaureaopn.replit.app\t\n2 months ago\n4 months ago\n\nmaistro\nmaistro\nPublished\ncode-genitor-game.replit.app\t\n3 months ago\n4 months ago\n\nARCHITECT\nARCHITECT\nDraft\t\t—\t\n4 months ago\n\narchitect\narchitect\nDraft\t\t\n4 months ago\n4 months ago\n\nsims\nsims\nPublished\nopen-world.replit.app\t\n2 months ago\n4 months ago\n\nvektor-ide\nvektor-ide\nPublished\nvektor-ide.replit.app\t\n3 months ago\n4 months ago\n\nstarcraft2\nstarcraft2\nPublished\nstarcraft-2.replit.app\t\n2 months ago\n4 months ago\n\narchitect (1)\narchitect (1)\nPublished\narchitect-1.replit.app\t\n4 months ago\n4 months ago\n\nSPIELESAMMLUNG\nSPIELESAMMLUNG\nPublished\ngaming-ai.replit.app\t\n22 days ago\n4 months ago\n\nGEMINI-OS\nGEMINI-OS\nPublished\ngemini-os.replit.app\t\n3 days ago\n4 months ago\n\nNEURAL-MANSION\nNEURAL-MANSION\nPublished\nneural-mansion.replit.app\t\n2 months ago\n4 months ago\n\nTRON\nTRON\nPublished\nneural-tron.replit.app\t\n4 months ago\n4 months ago\n\nKICKER\nKICKER\nDraft\t\t\n4 months ago\n4 months ago\n\nSTREETBALL\nSTREETBALL\nPublished\nstreet-ball.replit.app\t\n4 months ago\n4 months ago\n\nPENALTY\nPENALTY\nPublished\npenalty-kick.replit.app\t\n4 months ago\n4 months ago\n\nMADDEN\nMADDEN\nPublished\nmadden-ai.replit.app\t\n4 months ago\n4 months ago\n\nGOLDSHIELD;YAHOO\nGOLDSHIELD;YAHOO\nPublished\ngoldshieldyahoo.replit.app\t\n4 months ago\n4 months ago\n\nML-Predictin\nML-Predictin\nDraft\t\t\n2 days ago\n4 months ago\n\nTENSOR-FLOW\nTENSOR-FLOW\nDraft\t\t\n2 days ago\n4 months ago\n\nVEKTOR-DATABASE\nVEKTOR-DATABASE\nDraft\t\t\n12 days ago\n4 months 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        "title": "100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)",
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        "overview": "--- project: 100-school-tutoring-complex-html5-app-prompts category: Prompt-Bibliothek cluster: Schule / Nachhilfe / Prüfungsvorbereitung tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, schule, nachhilfe, k12, pruefungsvorbereitung, abitur, formelsammlung, vokabeltrainer] --- # 100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500) ## Overview Batch 5 der Prompt-Bibliothek widmet sich einem der am häufigsten wiederkehrenden Sektoren im HTML-MD-EXPORT-Archiv: K12-Schule, Nachhilfe und Prüfungsvorbereitung. Anders als Batch 2 (Kategorie 4 dort: Dev-Tools/Lernplattformen für erwachsene Entwickler) richtet sich dieser Batch konsequent an Schüler von der Grun",
        "content": "---\nproject: 100-school-tutoring-complex-html5-app-prompts\ncategory: Prompt-Bibliothek\ncluster: Schule / Nachhilfe / Prüfungsvorbereitung\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, schule, nachhilfe, k12, pruefungsvorbereitung, abitur, formelsammlung, vokabeltrainer]\n---\n\n# 100 Schule/Nachhilfe/Prüfungsvorbereitung HTML5 App-Prompts (Batch 5, #401-#500)\n\n## Overview\nBatch 5 der Prompt-Bibliothek widmet sich einem der am häufigsten wiederkehrenden Sektoren im HTML-MD-EXPORT-Archiv: K12-Schule, Nachhilfe und Prüfungsvorbereitung. Anders als Batch 2 (Kategorie 4 dort: Dev-Tools/Lernplattformen für erwachsene Entwickler) richtet sich dieser Batch konsequent an Schüler von der Grundschule bis zum Abitur, an ihre Eltern und an private Nachhilfelehrer. Grundlage sind reale wiederkehrende Projektmuster aus dem eigenen Stack: NACHHILFE (u.a. \"Formelsammlung to go\" und \"5-Sprachen-Grammatik kompakt\"), joojo (\"109 Übungstests fürs Gymnasium NRW – Eltern-/Schülerhandbuch\"), latina-v-klausur-trainer-ios-css-neu (Latein-Klausurtrainer) sowie PWA-HISTORY-NACHHILFE und pwa-history (Geschichts-Nachhilfe-PWAs). Ziel: diese Muster zu 100 eigenständigen, konkret an deutschen Lehrplänen und Prüfungsformaten orientierten App-Prompts weiterzudenken.\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße, 2500+ Zeilen Code, 250+ Components, 8+ GSAP-Animationen, Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts + D3.js + GSAP + LocalStorage/IndexedDB\n- Altersgerechte Design-Sprache je Zielgruppe (Grundschule: große Buttons, einfache Navigation, freundliche Farben ohne Reizüberflutung; Oberstufe/Abitur: sachlich-reduziert)\n- Datenschutz-bewusst durchgängig: keine Klarnamen-Pflicht, keine Fotos von Minderjährigen, keine unnötige Datenerhebung bei Kindern — Pseudonym/Avatar/Schüler-Kürzel statt echter Identität, alle Daten lokal (LocalStorage/IndexedDB) statt Cloud-Upload\n\n## Kategorie 1: FÄCHER-ÜBUNGSTEST-GENERATOREN (10 Prompts)\n\n1. **#401** — erstelle einen Mathe-Übungstest-Generator Klasse 5-10 differenziert - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenauswahl Bruchrechnung/Prozentrechnung/Gleichungen/Geometrie nach Klassenstufe, Schulform-Umschalter Gymnasium/Realschule/Gesamtschule mit angepasstem Anforderungsniveau, Aufgaben-Generator mit Zufallszahlen und Schwierigkeitsstufen leicht/mittel/schwer, Rechenweg-Anzeige einklappbar bei falscher Antwort, Zeitmessung pro Aufgabe und Gesamttest, Punktesystem mit Notenschlüssel-Umrechnung, Fehleranalyse nach Themenblock (ApexCharts Balken), Wiederholungsmodus nur falsch gelöste Aufgaben, Druckansicht als PDF-Arbeitsblatt für Offline-Übung, Fortschrittsverlauf über mehrere Testdurchläufe (D3.js Linie), Eltern-Ansicht ohne Klarnamen nur Pseudonym, GSAP Aufgaben-Einblend-Animationen - USE CASE: Schüler üben eigenständig für die nächste Klassenarbeit mit passgenauem Schwierigkeitsgrad, Nachhilfelehrer erstellen in Minuten differenzierte Übungssätze für Schüler unterschiedlicher Schulformen.\n\n2. **#402** — entwickle einen Deutsch-Grammatik-und-Rechtschreibtest-Generator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenkatalog Zeitformen/Satzglieder/Groß-Kleinschreibung/Kommasetzung nach Klassenstufe 5-10, Lückentext-Generator mit automatischer Auswertung, Diktat-Modus mit Vorlese-Simulation und Fehlerhervorhebung, Fehlerklassifikation Rechtschreibung vs Grammatik vs Zeichensetzung (ApexCharts Donut), Regelerklärung bei Fehler mit Beispielsatz, Schwierigkeitsgrad-Anpassung nach Fehlerquote automatisch, Klassenarbeits-Simulation mit Zeitlimit, individuelle Fehlerkartei häufigster Fehlerwörter, Fortschritts-Heatmap über Wochen (D3.js Kalender), Export Testergebnis als Übersicht für Eltern, Offline-Nutzung ohne Internet, GSAP Korrektur-Feedback-Animationen - USE CASE: Grundschul- und Unterstufenschüler festigen Rechtschreibung und Grammatik gezielt vor Diktaten, Eltern erkennen anhand der Fehlerkartei welche Regeln noch nicht sitzen.\n\n3. **#403** — programmiere einen Englisch-Vocabulary-und-Grammar-Test-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themeneinheiten nach gängigen Lehrwerk-Kapiteln School/Family/Sports/Environment, Grammatik-Module Simple Past/Present Perfect/Conditional Sentences mit Erklär-Popover, Multiple-Choice und Lückentext-Aufgabentypen kombiniert, Aussprache-Hinweis-Karten zu Vokabeln, Klassenstufen-Filter 5-10 mit passendem Wortschatzumfang, Test-Auswertung mit Prozent- und Notenschlüssel-Anzeige, Fehlerschwerpunkt-Analyse Vokabular vs Grammatik (ApexCharts Balken), Wiederholungs-Set aus letzten Fehlern automatisch zusammengestellt, Zeitdruck-Modus wie in echter Klassenarbeit, Fortschrittsverlauf mehrerer Testtermine (D3.js Linie), Vokabelheft-Export als Liste, GSAP Test-Abschluss-Animationen - USE CASE: Schüler bereiten sich strukturiert auf Vokabeltests und Klassenarbeiten vor, Nachhilfelehrer identifizieren schnell ob Vokabular oder Grammatik der Schwachpunkt ist.\n\n4. **#404** — baue einen Latein-Übersetzungs-und-Grammatik-Klausurtrainer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Textkorpus nach Lehrbuchlektionen mit steigendem Schwierigkeitsgrad, Übersetzungs-Editor mit Wort-für-Wort-Hilfe bei Bedarf einblendbar, Grammatik-Module AcI/Ablativus Absolutus/Konjunktiv im Nebensatz mit Beispielsätzen, Stammformen-Trainer zu unregelmäßigen Verben, Konstruktions-Erkennungs-Quiz markiere die Satzkonstruktion, Klausur-Simulation mit Zeitlimit und Wörterbuch-Sperre-Hinweis, Bewertungsraster nach Punktesystem wie in echten Lateinklausuren, Fehleranalyse grammatische Kategorien (ApexCharts Radar), Vokabel-Wiederholung aus bereits bearbeiteten Texten, Interpretations-Fragen zu Kulturkontext, Fortschritt pro Lektion (D3.js Balken), GSAP Text-Analyse-Animationen - USE CASE: Gymnasiasten bereiten sich gezielt auf Lateinklausuren mit Übersetzungsteil vor, Nachhilfelehrer üben mit Schülern die typischen Konstruktionen die in Klausuren am häufigsten abgefragt werden.\n\n5. **#405** — erstelle einen Physik-Übungstest-Generator Mechanik-und-Elektrik - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Kraft/Bewegung/Energie und Stromkreise/Widerstand nach Klassenstufe 7-10, Formel-Anwendungsaufgaben mit Variablen-Eingabe und automatischer Prüfung, Einheiten-Kontrolle warnt bei falscher Einheit, Diagramm-Ableseaufgaben v-t und s-t-Diagramme (ApexCharts), Schaltplan-Erkennungsfragen Reihen- und Parallelschaltung, Rechenweg-Anzeige Schritt für Schritt bei Bedarf, Klassenarbeits-Modus mit Formelsammlung-Sperre-Option, Fehleranalyse nach Themenblock (D3.js Radar), Schwierigkeitsgrad-Anpassung automatisch nach Erfolgsquote, Wiederholungsmodus schwacher Themen, Export Testergebnis-Übersicht, GSAP Diagramm-Einblend-Animationen - USE CASE: Realschüler und Gymnasiasten üben rechenintensive Physikaufgaben mit sofortiger Korrektur, Nachhilfelehrer erkennen ob mechanisches Verständnis oder reine Rechenfehler die Ursache für schlechte Noten sind.\n\n6. **#406** — entwickle einen Chemie-Übungstest-Generator Stöchiometrie-und-Periodensystem - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenauswahl Atombau/Periodensystem/chemische Reaktionsgleichungen/Stöchiometrie nach Klassenstufe, Reaktionsgleichungen-Ausgleichs-Übung mit automatischer Prüfung der Koeffizienten, Molare-Masse-Rechenaufgaben mit Rechenweg, Periodensystem-Zuordnungsfragen Ordnungszahl/Gruppe/Periode, Stoffeigenschaften-Quiz sauer/basisch/neutral, Klassenarbeits-Simulation mit Zeitlimit, Fehleranalyse nach Themenbereich (ApexCharts Balken), Formelsammlung-Kurzreferenz einblendbar, Schwierigkeitsgrad-Stufen leicht bis Oberstufen-Niveau, Fortschrittsverlauf über Testtermine (D3.js Linie), Wiederholungsset aus Fehlern, GSAP Reaktionsgleichungs-Animationen - USE CASE: Schüler üben das Ausgleichen von Reaktionsgleichungen bis es automatisiert sitzt, Nachhilfelehrer bereiten gezielt auf die nächste Chemiearbeit zu Stöchiometrie vor.\n\n7. **#407** — baue einen Biologie-Übungstest-Generator Zellbiologie-Genetik-Ökologie - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Zellaufbau/Vererbungslehre/Ökosysteme nach Klassenstufe 7-10, Beschriftungsaufgaben zu Zell- und Organdiagrammen, Kreuzungsschema-Übungen Mendelsche Regeln mit automatischer Auswertung, Nahrungsketten-Zuordnungsfragen, Fachbegriff-Definitions-Quiz mit Multiple-Choice, Klassenarbeits-Modus mit Zeitlimit, Fehleranalyse nach Themenbereich (ApexCharts Radar), Bildmaterial-basierte Fragen mit Zoom-Funktion, Schwierigkeitsgrad-Anpassung automatisch, Fortschrittsverlauf über Schulhalbjahr (D3.js Linie), Wiederholungsmodus schwacher Themen, GSAP Diagramm-Beschriftungs-Animationen - USE CASE: Schüler festigen Fachbegriffe und Zusammenhänge vor Biologiearbeiten praxisnah, Eltern ohne Bio-Kenntnisse können den Fortschritt trotzdem anhand der Auswertung nachvollziehen.\n\n8. **#408** — programmiere eine 109-Übungstests-Bibliothek fürs Gymnasium NRW - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Testbibliothek mit 109 kategorisierten Übungstests über Mathe/Deutsch/Englisch nach NRW-Kernlehrplan Klasse 5-10, Fach- und Klassenstufen-Filter kombinierbar, Schulform-Kennzeichnung Gymnasium-spezifisches Anforderungsniveau, Zufalls-Test-Zusammenstellung aus dem Pool, Fortschritts-Dashboard über alle 109 Tests (ApexCharts Radial), Eltern-Handbuch-Sektion Erklärung der NRW-Notenstufen und Kernlehrplan-Kompetenzbereiche, Schwachstellen-Report nach Fach und Kompetenzbereich (D3.js Heatmap), Testtermin-Verwaltung wann welcher Test bearbeitet wurde, Druckansicht einzelner Tests als Arbeitsblatt, Lesezeichen-Funktion für Wiederholung, Suchfunktion über alle Testtitel, GSAP Test-Auswahl-Animationen - USE CASE: Eltern in NRW nutzen die Testbibliothek als strukturiertes Nachschlagewerk zur Vorbereitung auf Klassenarbeiten ihrer Kinder, Nachhilfelehrer sparen Vorbereitungszeit durch die fertige kategorisierte Testsammlung nach Kernlehrplan.\n\n9. **#409** — erstelle einen ZP10-Simulator Zentrale-Prüfungen-Klasse-10-NRW - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fachauswahl Mathematik/Deutsch/Englisch entsprechend den echten NRW-Zentralen-Prüfungen, Aufgabenformate wie im Original Grundkurs/Erweiterungskurs-Differenzierung, Zeitlimit exakt wie in der echten Prüfung, Musterlösungen mit Bewertungsschema nach Punkten, Bewertungsraster-Simulation Notenumrechnung aus Prüfungspunkten, Themenschwerpunkt-Statistik welche Themen historisch häufig geprüft wurden (ApexCharts Balken), Übungsklausuren aus Vorjahren-Struktur nachgebildet, Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Countdown-Anzeige bis zum echten Prüfungstermin, Stress-freier Übungsmodus ohne Zeitdruck als Alternative, Fortschritts-Historie über mehrere Simulationsdurchläufe, GSAP Prüfungsstart-Countdown-Animationen - USE CASE: Zehntklässler in NRW bereiten sich unter realistischen Bedingungen auf die Zentralen Prüfungen vor, Eltern verstehen anhand der Bewertungssimulation wie die Punkte in die Abschlussnote einfließen.\n\n10. **#410** — entwickle einen fächerübergreifenden Diagnosetest-Generator Einstufung - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurzdiagnose über Mathe/Deutsch/Englisch-Grundkompetenzen bei Schulformwechsel oder Nachhilfebeginn, Adaptiver Fragenpfad wird bei richtigen Antworten schwerer bei falschen leichter, Kompetenzraster-Ergebnis nach Bildungsstandards (ApexCharts Radar), Klassenstufen-Einschätzung Ergebnis-basiert, Lückenidentifikation konkrete Themenbereiche mit Nachholbedarf, Empfehlungs-Report welche Übungstests aus der Bibliothek als nächstes sinnvoll sind, Zeitaufwand pro Fach ca. 15 Minuten, Eltern-verständliche Ergebnis-Zusammenfassung ohne Fachjargon, Vergleich zu Klassenstufen-Durchschnitt anonymisiert, Wiederholung der Diagnose nach mehreren Wochen zum Vergleich, Datenschutz-Hinweis nur Pseudonym keine Schulnamen-Pflicht, GSAP Ergebnis-Enthüllungs-Animationen - USE CASE: Eltern und Nachhilfelehrer verschaffen sich beim Erstkontakt schnell ein objektives Bild über den tatsächlichen Wissensstand eines Kindes, Schulformwechsler erkennen konkret welche Lücken vor dem Wechsel geschlossen werden sollten.\n\n## Kategorie 2: VOKABELTRAINER & SPRACHLERN-APPS FÜR SCHÜLER (10 Prompts)\n\n11. **#411** — erstelle einen Englisch-Vokabeltrainer Spaced-Repetition nach Lehrbuch-Einheiten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelstapel gegliedert nach Lehrwerk-Units und Klassenstufe 5-10, Spaced-Repetition-Algorithmus SM-2-ähnlich mit automatischer Wiedervorlage, Karteikarten-Modus Vorderseite Deutsch/Englisch umschaltbar, Aussprache-Lautschrift-Hinweis pro Vokabel, Tages-Lernziel mit Streak-Zähler, Fälligkeits-Kalender-Heatmap wie viele Karten heute fällig sind (ApexCharts Kalender), Schreibmodus statt nur Erkennen zur Festigung, Themenwortschatz-Listen School/Home/Free-Time separat übbar, Fortschritts-Dashboard gelernte vs fällige Wörter (D3.js Balken), Offline-Nutzung als PWA ohne Internet, Export eigener schwieriger Wörter als Übungsliste, GSAP Karten-Flip-Animationen - USE CASE: Schüler bereiten sich täglich in kurzen Einheiten auf den nächsten Vokabeltest vor, das nach Lehrwerk-Units sortierte System spart Eltern und Nachhilfelehrern die manuelle Karteikarten-Erstellung.\n\n12. **#412** — entwickle einen Französisch-Vokabel-und-Verbtrainer für die Sekundarstufe - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vokabelthemen nach Lehrplan-Kapiteln Famille/École/Loisirs, Verbkonjugations-Trainer présent/passé composé/futur simple mit Endungs-Hervorhebung, Genus-Trainer le/la mit Merkhilfen, Aussprache-Hinweise für typische Fehlerlaute, Karteikasten-Leitner-System mit fünf Fächern, Fortschritts-Dashboard pro Zeitform (ApexCharts Radar), Fehlerkartei häufigster Konjugationsfehler, Diktier-Übung Hörverstehen kurzer Sätze, Themen-Quiz mit Zeitlimit wie in Vokabeltests, Lernstreak-Tracker mit Wochenübersicht, Offline-Modus als installierbare PWA, GSAP Konjugationstabellen-Animationen - USE CASE: Schüler der Sekundarstufe I festigen unregelmäßige Verbformen vor Vokabeltests systematisch, Nachhilfelehrer sehen anhand der Fehlerkartei sofort welche Zeitform noch unsicher ist.\n\n13. **#413** — programmiere einen Latein-Vokabeltrainer mit Stammformen-und-Deklinationstabellen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelstapel nach Lehrbuchlektionen mit lateinischem Grundwortschatz, Stammformen-Abfrage zu unregelmäßigen Verben mit allen vier Formen, Deklinationstabellen-Trainer a-, o-, konsonantische Deklination interaktiv ausfüllbar, Karteikasten-System mit Wiedervorlage nach Fehlerquote, Wortarterkennung-Quiz Substantiv/Verb/Adjektiv aus Kontext, Genus-Merkhilfen zu unregelmäßigen Substantiven, Fortschritts-Dashboard pro Lektion (ApexCharts Balken), Etymologie-Hinweise Herkunft moderner Fremdwörter zur Motivation, Klausur-Vokabelliste automatisch aus kommenden Lektionen zusammengestellt, Lernstreak mit Wochenübersicht, Offline-PWA-Nutzung, GSAP Deklinationstabellen-Animationen - USE CASE: Lateinschüler pauken Vokabeln und Stammformen effizient vor der nächsten Vokabelüberprüfung, das System bereitet gezielt auf den im Klausurtrainer benötigten Grundwortschatz vor.\n\n14. **#414** — baue eine 5-Sprachen-Grammatik-Kompakt-App Englisch-Französisch-Latein-Spanisch-Deutsch - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprachauswahl-Tabs mit kompakten Grammatikübersichten pro Sprache Zeiten/Fälle/Satzbau, Vergleichsansicht gleiche Grammatikkategorie über alle fünf Sprachen nebeneinander, Kurz-Drill pro Regel mit fünf Übungssätzen, Signalwort-Listen zur Zeitform-Erkennung je Sprache, Eselsbrücken-Sammlung zu schwierigen Regeln, Suchfunktion über alle Grammatikthemen sprachübergreifend, Lesezeichen-Funktion häufig nachgeschlagener Regeln, Fortschritts-Tracker welche Regeln als gefestigt markiert wurden (ApexCharts Radar über fünf Sprachen), Druckansicht als kompakte Merkkarte pro Regel, Offline-Nutzung als PWA im Ranzen ohne Internet, Dunkles augenschonendes Lese-Theme, GSAP Sprachwechsel-Übergangs-Animationen - USE CASE: Schüler mit mehreren Fremdsprachen gleichzeitig schlagen Grammatikregeln kompakt an einem Ort nach statt in fünf verschiedenen Heften zu blättern, die Vergleichsansicht hilft typische Verwechslungen zwischen den Sprachen zu vermeiden.\n\n15. **#415** — erstelle einen Spanisch-Vokabeltrainer für das Wahlpflichtfach - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vokabelthemen nach Lehrplan-Einheiten Familia/Colegio/Ciudad, Verbkonjugation presente/pretérito-Trainer mit Endungs-Farbcodierung, Ser-vs-Estar-Unterscheidungs-Übungen mit Erklärung, Karteikasten-Leitner-System, Aussprache-Hinweis zu Betonungsregeln, Fortschritts-Dashboard neue vs gefestigte Vokabeln (ApexCharts Donut), Themen-Quiz mit Zeitlimit, Fehlerkartei häufigster Fehler, Lernstreak-Tracker mit Kalenderansicht, Offline-Modus als PWA, Export Vokabelliste zum Ausdrucken, GSAP Karten-Flip-Animationen - USE CASE: Schüler im Wahlpflichtfach Spanisch bauen systematisch Grundwortschatz auf, Nachhilfelehrer nutzen die App als Ergänzung wenn Spanisch neu als drittes Fremdsprachenfach hinzukommt.\n\n16. **#416** — entwickle einen kombinierten Unregelmäßige-Verben-Trainer Englisch-Französisch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verbliste unregelmäßiger Verben beider Sprachen mit allen Formen, Sprachumschalter Englisch/Französisch/gemischt zum Trainieren, Tipp-Modus Anfangsbuchstabe wird vorgegeben bei Bedarf, Zeitmess-Modus wie schnell werden 20 Verben korrekt genannt, Fehlerstatistik welche Verben am häufigsten falsch sind (ApexCharts Balken), Karteikasten-Wiederholung nach Leitner-Prinzip, Themen-Sets nach Häufigkeit im Schulalphabet sortiert, Highscore-Tracker eigene Bestzeiten, Lernstreak mit Wochenkalender, Offline-Nutzung als PWA, Export Verbliste als Merkzettel, GSAP Formen-Einblend-Animationen - USE CASE: Schüler mit zwei Fremdsprachen gleichzeitig trainieren die verwirrenden unregelmäßigen Verben beider Sprachen getrennt oder gemischt, der Zeitmess-Modus macht aus stumpfem Pauken ein motivierendes Eigenrennen.\n\n17. **#417** — baue einen fächerübergreifenden Leitner-Karteikasten-Vokabeltrainer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eigene Kartenstapel anlegen für jedes Fach und jede Fremdsprache, Fünf-Fächer-Leitner-System mit automatischer Wiedervorlage-Logik, Import eigener Vokabellisten als CSV, Karten-Editor mit Bild-Platzhalter und Beispielsatz, Fälligkeits-Übersicht wie viele Karten pro Fach heute anstehen (ApexCharts Balken), Statistik-Dashboard Erfolgsquote pro Fach (D3.js Radar), Lernstreak-Tracker über alle Stapel hinweg, Suchfunktion über alle eigenen Karten, Teilen-Funktion-Mockup eigene Stapel als Datei exportieren für Mitschüler, Offline-Nutzung als installierbare PWA, Erinnerungs-Hinweis bei fälligen Karten, GSAP Fach-Wechsel-Animationen - USE CASE: Schüler bauen sich ein individuelles fachübergreifendes Karteikasten-System für Vokabeln und Fachbegriffe auf, Nachhilfelehrer erstellen für jeden Schüler passgenaue Stapel statt physischer Karteikarten.\n\n18. **#418** — programmiere einen Hörverstehen-und-Diktat-Trainer für Fremdsprachen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sprachauswahl Englisch/Französisch/Latein-Ausspracheübung, Text-to-Speech-Vorlesefunktion mit einstellbarer Geschwindigkeit, Diktier-Modus Schüler tippt Gehörtes mit automatischem Abgleich, Lückentext-Hörverstehen mit Mehrfachauswahl, Wiederholungs-Buttons einzelne Satzabschnitte erneut anhören, Fehleranalyse Rechtschreibung vs Verständnis (ApexCharts Donut), Schwierigkeitsstufen nach Sprechtempo, Themenauswahl passend zu Klassenstufe, Fortschritts-Historie über mehrere Sitzungen (D3.js Linie), Kopfhörer-Empfehlungs-Hinweis für konzentriertes Üben, Offline-Nutzung soweit Sprachausgabe lokal verfügbar, GSAP Audio-Wellenform-Animationen - USE CASE: Schüler üben Hörverstehen gezielt vor mündlichen Prüfungen und Hörverstehens-Klassenarbeiten, das Diktier-Format verbindet Hörtraining direkt mit Rechtschreibfestigung in der Fremdsprache.\n\n19. **#419** — erstelle einen Deutsch-als-Zweitsprache-Vokabeltrainer für Schüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Grundwortschatz-Stapel nach Alltagsthemen Schule/Familie/Einkaufen für DaZ-Anfänger, Bildkarten-Modus Wort mit Symbolbild statt nur Text, Einfache-Sprache-Erklärungen zu Artikeln der/die/das mit Farbcodierung, Alltagssätze-Bausteinkasten zum Üben einfacher Satzstrukturen, Aussprache-Hilfe mit Text-to-Speech, Karteikasten-Wiederholung nach Erfolgsquote, Fortschritts-Dashboard Wortschatzumfang über Zeit (ApexCharts Flächendiagramm), Elternhinweis-Sektion mehrsprachig DE/EN/weitere für Herkunftssprachen, Lernstreak-Tracker kindgerecht mit Symbolen statt Zahlen, Offline-Nutzung als PWA, Druckansicht Bildkarten für zuhause, GSAP Bildkarten-Einblend-Animationen - USE CASE: Schüler mit Migrationshintergrund bauen niedrigschwellig deutschen Grundwortschatz für den Schulalltag auf, Nachhilfelehrer in DaZ-Fördergruppen nutzen die Bildkarten als visuelle Einstiegshilfe ohne Vorkenntnisse vorauszusetzen.\n\n20. **#420** — entwickle ein Klassenzimmer-Vokabel-Quiz im Team-Wettbewerbs-Modus - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Team-Einteilung mit Teamnamen statt Schülernamen zum Datenschutz, Buzzer-Simulation schnellste richtige Antwort gewinnt Punkte, Fragenkatalog aus aktuellem Vokabelstapel importierbar, Punktestand-Anzeige live als Ranglisten-Tafel (ApexCharts Balken), Rundenmodus mit steigendem Schwierigkeitsgrad, Joker-System ein Tipp pro Team und Runde, Zeitlimit pro Frage mit Countdown-Anzeige, Moderator-Ansicht für Lehrkraft mit Lösungsschlüssel, Rückblick-Statistik welche Themen am schlechtesten abschnitten (D3.js Balken), Exportierbare-Fragenlisten für nächste Runde, Beamer-taugliche Großansicht, GSAP Punktestand-Update-Animationen - USE CASE: Nachhilfelehrer und Lehrkräfte lockern Vokabelwiederholung durch einen spielerischen Klassenwettbewerb auf, das Teamformat motiviert auch zurückhaltendere Schüler ohne einzelne Kinder bloßzustellen.\n\n## Kategorie 3: FORMELSAMMLUNGEN & NACHSCHLAGEWERKE PRO FACH (10 Prompts)\n\n21. **#421** — erstelle eine Mathe-Formelsammlung-to-go interaktiv für die Sekundarstufe - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Formel-Datenbank kategorisiert Algebra/Geometrie/Funktionen/Stochastik nach Klassenstufe 5-10, Interaktiver Formel-Rechner Variablen eingeben Ergebnis live berechnen, Herleitungs-Schritte einklappbar pro Formel, Beispielaufgabe mit vollständigem Lösungsweg pro Formel, Verwandte-Formeln-Verlinkung als Themen-Netz (D3.js Force-Directed), Volltextsuche über Formelnamen und Anwendungsfälle, Lesezeichen-Sammlung häufig genutzter Formeln, Geometrie-Visualizer Fläche/Umfang/Volumen mit anpassbaren Maßen (ApexCharts), Einheiten-Umrechner-Zusatztool, Druckansicht als kompakte Formelsammlung fürs Etui, Dunkles augenschonendes Lese-Theme, GSAP Formel-Einblend-Animationen - USE CASE: Schüler schlagen Formeln während der Hausaufgaben sofort mit Rechenbeispiel nach statt im Schulbuch zu blättern, in Klassenarbeiten mit erlaubter Formelsammlung dient die Druckansicht als zugelassenes Hilfsmittel.\n\n22. **#422** — entwickle eine Physik-Formelsammlung mit Experiment-Bezug - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Datenbank Mechanik/Elektrik/Optik/Wärmelehre nach Klassenstufe, Interaktiver Rechner mit Einheitenkontrolle bei Variableneingabe, Verweis auf typisches Schulexperiment pro Formel als Merkhilfe, Diagramm-Vorschau wie sich Größen zueinander verhalten (ApexCharts), Herleitungs-Schritte einklappbar, Einheiten-Umrechner SI-Einheiten und gebräuchliche Alternativen, Formel-Netz Zusammenhänge zwischen Größen (D3.js), Beispielaufgabe mit Lösungsweg pro Formel, Suchfunktion nach Größe oder Formelname, Lesezeichen für Klassenarbeits-relevante Formeln, Druckansicht als Merkblatt, GSAP Formel-Highlight-Animationen - USE CASE: Schüler verstehen Formeln nicht nur auswendig sondern über den Bezug zum Experiment aus dem Unterricht, Nachhilfelehrer nutzen die App als visuelle Gedächtnisstütze zwischen Theorie und Praxisversuch.\n\n23. **#423** — programmiere einen interaktiven Chemie-Periodensystem-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vollständiges Periodensystem als interaktives Raster mit Farbcodierung nach Elementgruppen, Klick auf Element zeigt Steckbrief Ordnungszahl/Masse/Elektronenkonfiguration/Reaktionsfreudigkeit, Elektronenschalen-Visualisierung pro Element (D3.js), Trend-Anzeige Elektronegativität/Atomradius über Perioden und Gruppen (ApexCharts Heatmap), Vergleichsmodus zwei Elemente nebeneinander, Quiz-Modus Element anhand Eigenschaften erraten, Häufige-Verbindungen-Liste pro Element mit Alltagsbezug, Suchfunktion nach Name/Symbol/Ordnungszahl, Klassenstufen-Filter reduzierte Ansicht für Unterstufe, Lesezeichen wichtiger Elemente für Klassenarbeit, Druckansicht Periodensystem als Merkblatt, GSAP Element-Detail-Einblend-Animationen - USE CASE: Schüler erkunden das Periodensystem spielerisch statt es nur auswendig zu lernen, der Vergleichsmodus hilft typische Klassenarbeitsfragen zu Gruppentrends zu verstehen.\n\n24. **#424** — baue einen Geometrie-Formel-Visualizer Flächen-und-Volumen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formsammlung Dreieck/Kreis/Trapez/Quader/Zylinder/Kegel/Kugel nach Klassenstufe, Interaktive Schieberegler für Maße mit Live-Neuberechnung von Fläche/Umfang/Volumen, Visuelle Darstellung der Form mit eingezeichneten Maßen (D3.js SVG), Herleitungs-Erklärung warum die Formel so aussieht mit Zerlegungs-Animation, Übungsaufgaben-Generator zur jeweiligen Form mit Lösungsweg, Einheiten-Umrechner cm/m/mm integriert, Vergleichsmodus zwei Formen nebeneinander, Formel-Merkzettel druckbar, Fortschritts-Tracker welche Formen bereits gefestigt sind (ApexCharts Radial), Suchfunktion nach Formname, Dunkles Lese-Theme, GSAP Form-Zerlegungs-Animationen - USE CASE: Schüler verstehen räumliches Vorstellungsvermögen durch die visuelle Herleitung statt reines Formel-Auswendiglernen, die Schieberegler machen sofort sichtbar wie sich Volumen bei Maßänderung verhält.\n\n25. **#425** — erstelle einen Universal-Einheiten-Umrechner für den Schulalltag - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorien Länge/Fläche/Volumen/Masse/Zeit/Geschwindigkeit/Temperatur nach Lehrplan-Relevanz, Live-Umrechnung bei Eingabe ohne Bestätigungs-Klick, Häufige-Schulaufgaben-Vorlagen km/h in m/s und ähnliche typische Klassenarbeitsumrechnungen, Rechenweg-Anzeige Zwischenschritte der Umrechnung, Merkhilfen-Kärtchen zu Vorsätzen Kilo/Milli/Zenti, Favoriten-Funktion häufig genutzte Umrechnungen anheften, Verlaufshistorie letzte Umrechnungen, Vergleichstabelle SI-Einheiten und gebräuchliche Alternativen, Offline-Nutzung als PWA für unterwegs, Große Bedienelemente auch für jüngere Schüler geeignet, Druckansicht Umrechnungstabellen, GSAP Zahlen-Umrechnungs-Animationen - USE CASE: Schüler prüfen Hausaufgaben-Ergebnisse schnell auf Plausibilität ohne Taschenrechner-Umweg, die Rechenweg-Anzeige hilft die Umrechnungslogik tatsächlich zu verstehen statt nur ein Ergebnis abzulesen.\n\n26. **#426** — entwickle eine Chemie-Formelsammlung mit Stöchiometrie-Rechner - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Datenbank Stoffmenge/Molare-Masse/Konzentration/Reaktionsgleichungen nach Klassenstufe, Interaktiver Stöchiometrie-Rechner Eingabe zweier Größen berechnet die dritte automatisch, Reaktionsgleichungs-Ausgleicher mit Schritt-für-Schritt-Erklärung, Molmassen-Tabelle verknüpft mit Periodensystem-Werten, Beispielaufgabe mit vollständigem Lösungsweg pro Formeltyp, Einheiten-Kontrolle warnt bei Einheitenfehlern, Formel-Netz Zusammenhänge (D3.js), Suchfunktion nach Formelname oder Größe, Lesezeichen klausurrelevanter Formeln, Druckansicht als Merkblatt, Dunkles Lese-Theme, GSAP Rechenschritt-Animationen - USE CASE: Oberstufenschüler lösen Stöchiometrie-Aufgaben nachvollziehbar statt nur das Endergebnis einzugeben, die verknüpfte Molmassen-Tabelle erspart den Griff zum separaten Periodensystem.\n\n27. **#427** — baue ein Mathe-Nachschlagewerk Ableitungen-und-Integrale für die Oberstufe - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ableitungsregeln-Katalog Potenz/Produkt/Ketten/Quotientenregel mit Beispielen, Integrationsregeln-Katalog Grundintegrale und partielle Integration, Interaktiver Funktionsgraph zeigt Funktion und Ableitung parallel (ApexCharts/D3.js), Schritt-für-Schritt-Löser bei eingegebener Funktion Ableitung anzeigen, Kurvendiskussion-Checkliste Extrempunkte/Wendepunkte/Monotonie, Anwendungsaufgaben-Beispiele Extremwertprobleme mit Lösungsweg, Formel-Suche nach Funktionstyp, Übungsgenerator einfache Ableitungsaufgaben mit Sofort-Prüfung, Lesezeichen abiturrelevanter Regeln, Druckansicht als Abitur-Merkblatt, Dunkles Lese-Theme für Lernabende, GSAP Funktionsgraph-Zeichen-Animationen - USE CASE: Oberstufenschüler bereiten sich mit visualisierter Kurvendiskussion auf Analysis-Klausuren vor, die parallele Graph-Ansicht macht den Zusammenhang zwischen Funktion und Ableitung intuitiv verständlich.\n\n28. **#428** — programmiere ein Physik-Nachschlagewerk Elektrizitätslehre-Rechner - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Formel-Katalog Ohmsches-Gesetz/Leistung/Reihen-und-Parallelschaltung nach Klassenstufe, Interaktiver Schaltkreis-Rechner Widerstand/Spannung/Stromstärke gegenseitig berechenbar, Schaltplan-Visualisierung einfacher Stromkreise (D3.js SVG), Gesamtwiderstands-Rechner für mehrere Widerstände in Reihe oder parallel, Beispielaufgabe mit Lösungsweg pro Formeltyp, Einheiten-Kontrolle Ampere/Volt/Ohm, Formel-Netz Zusammenhänge zwischen elektrischen Größen (D3.js), Suchfunktion nach Formel oder Größe, Lesezeichen klassenarbeitsrelevanter Formeln, Druckansicht als Merkblatt, Dunkles Lese-Theme, GSAP Schaltkreis-Stromfluss-Animationen - USE CASE: Schüler berechnen Schaltkreis-Aufgaben nachvollziehbar mit visueller Schaltplan-Unterstützung, das Nachschlagewerk dient als schnelle Kontrolle bei Hausaufgaben zur Elektrizitätslehre.\n\n29. **#429** — erstelle ein Biologie-Fachbegriffs-Lexikon interaktiv - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Durchsuchbares Lexikon Fachbegriffe nach Themenbereich Zellbiologie/Genetik/Ökologie/Anatomie, Begriffs-Erklärung in einfacher Sprache mit Fachbegriff-Definition parallel, Verwandte-Begriffe-Verlinkung als Themen-Netz (D3.js Force-Directed), Bildkarten-Diagramme zu komplexen Prozessen Fotosynthese/Zellteilung, Quiz-Modus Begriff der Definition zuordnen, Klassenstufen-Filter reduzierter Wortschatz für Unterstufe, Lesezeichen für Klassenarbeits-relevante Begriffe, Fortschritts-Tracker gelernte Begriffe (ApexCharts Radial), Suchfunktion mit Autovervollständigung, Druckansicht als Glossar, Dunkles Lese-Theme, GSAP Begriffs-Netz-Animationen - USE CASE: Schüler schlagen unbekannte Fachbegriffe aus dem Biologieunterricht sofort verständlich nach, das Begriffs-Netz zeigt Zusammenhänge die im Schulbuch oft isoliert dargestellt werden.\n\n30. **#430** — entwickle ein Mathe-Nachschlagewerk Dreisatz-und-Prozentrechnung für die Unterstufe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Erklär-Sektionen proportionaler und umgekehrt proportionaler Dreisatz mit Alltagsbeispielen, Prozentrechnung-Grundformen Grundwert/Prozentsatz/Prozentwert interaktiv berechenbar, Schritt-für-Schritt-Rechenweg-Anzeige bei jeder Aufgabe, Alltagsbeispiele Rabatt/Zinsen/Mischungsverhältnis zur Veranschaulichung, Übungsgenerator mit Sofort-Prüfung nach Schwierigkeitsgrad, Fehleranalyse häufigster Rechenfehler (ApexCharts Balken), Visualisierung Kreisdiagramm für Prozentanteile (ApexCharts Donut), Merksätze-Kärtchen zu Signalwörtern in Textaufgaben, Fortschritts-Tracker über Übungseinheiten, Druckansicht als Merkblatt für Klassenarbeiten, Große kindgerechte Bedienelemente, GSAP Rechenschritt-Animationen - USE CASE: Schüler der 5. und 6. Klasse verstehen Dreisatz und Prozentrechnung über konkrete Alltagsbeispiele statt abstrakter Formeln, Eltern ohne Lehrerausbildung können mit den Erklär-Sektionen selbst beim Üben helfen.\n\n## Kategorie 4: HAUSAUFGABEN & LERNPLAN-ORGANIZER (10 Prompts)\n\n31. **#431** — erstelle einen Hausaufgaben-Tracker für Schüler pro Fach - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fächerliste mit Farbcodierung und Aufgaben-Eintrag pro Fach, Fälligkeitsdatum mit Erinnerungs-Countdown, Aufgaben-Kategorien schriftlich/mündlich/Vorbereitung, Erledigt-Abhaken mit Fortschrittsbalken pro Tag, Wochenübersicht als Kalenderansicht, Zeitaufwand-Schätzung vs tatsächliche Zeit pro Aufgabe (ApexCharts Balken), Wiederkehrende-Aufgaben-Vorlage für Vokabellernen, Prioritäten-Kennzeichnung dringend/normal, Eltern-Ansicht erledigt/offen ohne Detaileinsicht in Inhalte, Statistik erledigte Aufgaben pro Fach über Wochen (D3.js Linie), Offline-Nutzung als installierbare PWA, GSAP Abhak-Animationen - USE CASE: Schüler behalten bei mehreren Fächern gleichzeitig den Überblick über offene Hausaufgaben, Eltern sehen auf einen Blick ob Aufgaben erledigt sind ohne in jedes Schulheft schauen zu müssen.\n\n32. **#432** — entwickle eine Stundenplan-App mit Fächerfarben für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochenraster-Stundenplan mit frei wählbaren Fächerfarben, Raum- und Lehrer-Kürzel-Eintrag pro Stunde, Vertretungsplan-Hinweis-Eintrag manuell bei Änderungen, Fächer-übergreifende-Materialliste was muss mitgebracht werden, Tagesansicht für unterwegs mit nächster-Stunde-Anzeige, Statistik Unterrichtsstunden pro Fach pro Woche (ApexCharts Donut), AG-und-Nachmittagsangebote-Sektion separat eintragbar, Ferienkalender-Integration mit Countdown, Export Stundenplan als druckbare Übersicht, Wiederholungs-Vorlage für neues Schulhalbjahr, Offline-Nutzung als PWA, GSAP Stunden-Wechsel-Hervorhebungs-Animationen - USE CASE: Schüler behalten bei wechselnden Räumen und Vertretungsstunden den Überblick über den aktuellen Tag, die Materialliste verhindert vergessene Schulbücher am Morgen.\n\n33. **#433** — programmiere einen Lernplan-Generator rund um Klausurtermine - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe kommender Klausurtermine mit Fach und Themenumfang, Automatische Rückwärtsplanung Lerneinheiten bis zum Prüfungstag, Spaced-Repetition-Prinzip Themen mehrfach mit Abstand wiederholen statt Bulimie-Lernen, Tages-Lernpaket-Vorschlag mit realistischem Zeitumfang, Kalenderansicht aller anstehenden Klausuren fächerübergreifend, Pufferzeiten-Einplanung für Krankheit oder Verzögerung, Fortschritts-Tracking gegen Plan-Soll (ApexCharts Balken), Überlastungs-Warnung bei zu vielen Klausuren in kurzer Zeit, Anpassungs-Funktion bei verschobenen Terminen, Motivations-Countdown pro Klausur, Export Lernplan als PDF fürs Kinderzimmer, GSAP Zeitleisten-Aufbau-Animationen - USE CASE: Schüler vermeiden Last-Minute-Stress durch frühzeitig verteilte Lerneinheiten statt Nacht-vor-der-Klausur-Pauken, Eltern erkennen anhand der Überlastungs-Warnung wenn zu viele Klausuren in einer Woche zusammenfallen.\n\n34. **#434** — baue ein Fach-Zeit-Balance-Dashboard für die Lernzeit-Verteilung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeiterfassung pro Fach über Stoppuhr oder manuelle Eingabe, Wochenübersicht Lernzeit-Verteilung nach Fach (ApexCharts Stacked Bar), Soll-Ist-Vergleich geplante vs tatsächlich investierte Zeit, Vernachlässigte-Fächer-Warnung bei sehr ungleicher Verteilung, Notentrend-Verknüpfung zeigt ob mehr Zeit sich in besseren Noten niederschlägt (D3.js Streudiagramm), Pausenzeiten-Empfehlung nach Pomodoro-Prinzip eingebaut, Tagesrückblick was wurde heute gelernt, Wochenvergleich über mehrere Wochen (ApexCharts Linie), Ziel-Vorgabe Minuten pro Fach pro Woche, Motivations-Badges bei erreichten Zielen, Offline-Nutzung als PWA, GSAP Balken-Update-Animationen - USE CASE: Schüler erkennen objektiv ob ein schwaches Fach tatsächlich zu wenig Lernzeit bekommt, Eltern führen datenbasierte statt gefühlsbasierte Gespräche über die Zeitverteilung beim Lernen.\n\n35. **#435** — erstelle einen Wochenrückblick-Lernorganizer für Schüler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wöchentliche Reflexions-Vorlage was lief gut/was war schwierig pro Fach, Erledigte-Aufgaben-Rückblick automatisch aus Hausaufgaben-Tracker übernommen, Notenverlauf-Eintrag mit Selbsteinschätzung vor der nächsten Arbeit, Stimmungs-Tracker einfache Symbol-Auswahl wie fühlte sich die Woche an, Ziel-Setzung für die kommende Woche pro Fach, Fortschritts-Vergleich über mehrere Wochen (ApexCharts Linie), Erfolgs-Sammlung kleine Erfolge werden gesammelt und sichtbar gemacht, Elternteilbare-Zusammenfassung optional freigebbar, Erinnerungs-Funktion sonntags Rückblick auszufüllen, Export Wochenrückblick als PDF, Kindgerechte Symbolsprache statt reiner Textfelder, GSAP Wochenkarten-Umblätter-Animationen - USE CASE: Schüler entwickeln durch regelmäßige Selbstreflexion ein besseres Gefühl für den eigenen Lernfortschritt, die Stimmungs-Tracking-Komponente hilft auch emotionale Belastung durch Schulstress früh sichtbar zu machen.\n\n36. **#436** — entwickle einen Klausurenplan-Kalender mit Countdown-Anzeige - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kalenderansicht aller Klausuren und Tests im Schulhalbjahr, Countdown-Kacheln pro anstehender Prüfung mit verbleibenden Tagen, Themen-Notiz-Feld pro Klausur was wird geprüft, Klausurdichte-Warnung bei mehreren Prüfungen in derselben Woche, Verknüpfung zum Lernplan-Generator für automatische Vorbereitung, Notenrückmeldung nach der Klausur zur Nachverfolgung (ApexCharts Linie), Fächerübergreifende Ansicht Ampel-Farben je nach Nähe des Termins, Halbjahres-Übersicht alle Klausurtermine auf einen Blick, Export als druckbarer Kalender fürs Zimmer, Erinnerungs-Push-Mockup einen Tag vorher, Feiertags-und-Ferien-Integration, GSAP Countdown-Ablauf-Animationen - USE CASE: Schüler verlieren bei vielen Fächern nicht den Überblick über anstehende Klassenarbeiten, die Klausurdichte-Warnung hilft frühzeitig zu erkennen wenn eine Woche besonders anstrengend wird.\n\n37. **#437** — baue ein digitales Hausaufgabenheft mit Eltern-Einsicht - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Tägliche Hausaufgaben-Einträge pro Fach wie im klassischen Hausaufgabenheft, Unterschrift-Simulation Eltern bestätigen digital Kenntnisnahme statt Papierunterschrift, Erledigt-Status mit Zeitstempel, Foto-Platzhalter-Hinweis bewusst ohne echten Foto-Upload zum Schutz der Privatsphäre, Wochenübersicht kompakt für schnellen Elternblick, Vergessene-Aufgaben-Historie zur Selbstreflexion, Statistik erledigte vs vergessene Aufgaben (ApexCharts Balken), Erinnerungsfunktion für wiederkehrende Aufgaben, Export als PDF für Elterngespräche, Mehrkind-Umschaltung getrennte Profile ohne Klarnamen nur Vornamen-Kürzel, Offline-Nutzung als PWA, GSAP Tagesabschluss-Animationen - USE CASE: Familien mit Grundschulkindern digitalisieren das klassische Hausaufgabenheft ohne die gewohnte Eltern-Kontrollfunktion zu verlieren, Lehrkräfte können bei Bedarf denselben Überblick über Erledigungsquoten nutzen.\n\n38. **#438** — programmiere einen Referats-und-Projektplaner für die Schule - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Projekt-Anlage mit Thema/Fach/Abgabetermin, Meilenstein-Planer Recherche/Gliederung/Ausarbeitung/Probevortrag mit Teilfristen, Quellen-Sammlung mit einfacher Zitationsvorlage, Foliengliederungs-Vorlage für Präsentationen, Fortschrittsbalken pro Meilenstein (ApexCharts Radial), Probevortrag-Timer mit Zeitlimit-Kontrolle, Feedback-Notizen nach Probevortrag von Eltern oder Nachhilfelehrer, Checkliste Materialien für den Vortragstag, Gruppenarbeit-Modus Aufgabenverteilung bei Partnerreferaten, Erinnerungs-Countdown bis zur Abgabe, Export Gliederung als PDF, GSAP Meilenstein-Fortschritts-Animationen - USE CASE: Schüler strukturieren größere Referate und Projektarbeiten in überschaubare Etappen statt alles kurz vorher zu erledigen, der Probevortrag-Timer hilft die vorgegebene Redezeit realistisch einzuschätzen.\n\n39. **#439** — erstelle einen Lernplan-Generator für Nachprüfung-und-Nachschreibetermin - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe des Nachschreibetermins und der verpassten Themenbereiche, Intensiv-Lernplan mit täglichen Etappen bis zum Termin, Prioritäten-Sortierung schwierigste Themen zuerst bei mehr Zeitpuffer, Verknüpfung zu passenden Übungstests aus der Testbibliothek, Stress-Reduktions-Hinweise bei besonders kurzer Vorbereitungszeit, Fortschritts-Tracking gegen Plan-Soll (ApexCharts Balken), Themen-Checkliste zum Abhaken, Elternhinweis-Sektion wie unterstützend statt zusätzlich Druck aufgebaut werden kann, Motivations-Countdown, Export Lernplan als PDF, Erinnerungsfunktion für Lerneinheiten, GSAP Zeitplan-Kompressions-Animationen - USE CASE: Schüler nach Krankheit oder verpasster Klassenarbeit organisieren die Nachholphase strukturiert statt überfordert zu sein, Nachhilfelehrer erstellen in kurzer Zeit einen realistischen Intensivplan für die verbleibenden Tage.\n\n40. **#440** — entwickle eine Multi-Fach-Prioritäten-Matrix für Schüler-Lernorganisation - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Eisenhower-Matrix-Prinzip angepasst für Schulaufgaben dringend/wichtig in vier Quadranten, Drag-and-Drop-Einordnung von Aufgaben in die Matrix, Automatische Vorsortierung nach Fälligkeitsdatum als Vorschlag, Tagesplan-Ableitung aus der Matrix was wird heute zuerst erledigt, Fächer-Farbcodierung innerhalb der Matrix, Wochenrückblick wie viele wichtige Aufgaben rechtzeitig erledigt wurden (ApexCharts Balken), Überforderungs-Warnung zu viele dringend-wichtige Aufgaben gleichzeitig, Erklär-Tutorial für Schüler was die Matrix bedeutet mit Beispielen, Erinnerungsfunktion für liegengebliebene wichtige Aufgaben, Export Tagesplan als Checkliste, Kindgerechte Vereinfachung für jüngere Nutzer, GSAP Quadranten-Verschiebungs-Animationen - USE CASE: Ältere Schüler lernen frühzeitig eine Priorisierungsmethode die auch später im Studium und Beruf nützlich bleibt, Nachhilfelehrer nutzen die Matrix um Schülern bei Prokrastination sichtbar zu machen was wirklich zuerst dran ist.\n\n## Kategorie 5: PRÜFUNGSANGST & LERNTECHNIK-COACHING (10 Prompts)\n\n41. **#441** — erstelle eine Prüfungsangst-Atemübungs-App für vor der Klausur - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Geführte Atemübungen 4-7-8-Technik und Box-Breathing mit visueller Kreis-Animation, Countdown-Timer bis Klausurbeginn mit letzter-Minute-Beruhigungsübung, Kurzentspannungs-Sequenzen 2/5/10-Minuten wählbar je nach verfügbarer Zeit, Körperscan-Anleitung zur Anspannungs-Lockerung vor der Prüfung, Positive-Affirmationen-Karten alters- und situationsgerecht formuliert, Herzfrequenz-Beruhigungs-Visualisierung Mock ohne echte Sensorik, Stimmungs-Check vorher-nachher mit einfacher Skala, Verlaufsstatistik genutzte Übungen über Zeit (ApexCharts Balken), Offline-Nutzung ohne Internet direkt vor der Klausur im Klassenzimmer, Keine Datenerhebung außer lokal gespeicherter Stimmungswerte, Erinnerungsfunktion am Klausurtag, GSAP Atem-Kreis-Animationen - USE CASE: Schüler mit Prüfungsangst nutzen die App in den letzten Minuten vor einer Klausur zur akuten Beruhigung, Nachhilfelehrer empfehlen die Übungen als niedrigschwelligen Einstieg in Entspannungstechniken ohne therapeutischen Anspruch.\n\n42. **#442** — entwickle einen Pomodoro-Lerntimer speziell für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Klassisches Pomodoro-Prinzip 25-Minuten-Lernblöcke mit 5-Minuten-Pausen kindgerecht erklärt, Anpassbare Intervalllängen je nach Alter und Konzentrationsfähigkeit, Fach-Zuordnung pro Pomodoro-Block, Pausenaktivitäts-Vorschläge Bewegung statt Bildschirmzeit, Tagesstatistik abgeschlossene Lernblöcke pro Fach (ApexCharts Balken), Fokus-Modus blendet Ablenkungshinweise ein bei zu häufigem Abbrechen, Belohnungs-System kleine Erfolge nach X abgeschlossenen Blöcken, Wochenübersicht Lernblöcke im Verlauf (D3.js Kalender-Heatmap), Sanfter Ton statt schrillem Alarm zum Pausenende, Offline-Nutzung als PWA, Erklär-Tutorial für Eltern und Schüler zur Methode, GSAP Timer-Fortschritts-Animationen - USE CASE: Schüler mit Konzentrationsschwierigkeiten strukturieren Lernzeit in überschaubare Etappen statt endloser unstrukturierter Lernabende, die kindgerechte Erklärung macht die Methode auch für Grundschüler zugänglich.\n\n43. **#443** — programmiere einen Active-Recall-und-Spaced-Repetition-Coach - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Erklär-Modul was Active Recall ist mit einfachen Schul-Beispielen, Selbsttest-Generator eigene Lernkarten statt reines Wiederlesen von Notizen, Spaced-Repetition-Kalender zeigt wann welches Thema wiederholt werden sollte, Vergleichs-Demo Wiederlesen vs aktives Abfragen mit simulierten Ergebnissen, Eigene-Themenkarten-Erstellung fächerübergreifend, Fälligkeits-Übersicht wie im Vokabeltrainer aber für beliebige Lerninhalte, Erfolgs-Statistik wie sich Erinnerungsquote über Wiederholungen verbessert (ApexCharts Linie), Lerntechnik-Bibliothek weitere Methoden kurz erklärt, Motivations-Hinweise warum Pauken am Vorabend weniger effektiv ist, Offline-Nutzung als PWA, Kindgerechte Sprache in Erklärungen, GSAP Erinnerungskurven-Animationen - USE CASE: Schüler lernen eine wissenschaftlich fundierte Lerntechnik kennen statt nur wiederholt Texte durchzulesen, Nachhilfelehrer vermitteln damit eine Methode die über die aktuelle Klassenarbeit hinaus für die gesamte Schulzeit nützlich bleibt.\n\n44. **#444** — baue ein Mindmapping-Tool für Schüler zur Lernstoff-Visualisierung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale-Themen-Erstellung mit frei verschiebbaren Ästen und Unterästen, Farbcodierung nach Fach oder Themenbereich, Bild-Symbol-Einfügung als Merkhilfe pro Ast, Vorlagen-Bibliothek fertige Mindmap-Strukturen für typische Schulthemen, Verknüpfungs-Linien zwischen entfernten Ästen für Querverbindungen, Export als Bild für Klausurvorbereitung zum Ausdrucken, Zoombare Ansicht bei großen Mindmaps (D3.js Zoom), Zusammenarbeits-Hinweis-Mockup für Gruppenarbeiten, Undo-Redo-Funktion, Automatisches Speichern während der Bearbeitung, Anfänger-Tutorial wie man eine gute Mindmap aufbaut, GSAP Ast-Erscheinungs-Animationen - USE CASE: Schüler strukturieren komplexe Themen wie Geschichtsepochen oder biologische Zusammenhänge visuell statt in linearen Textnotizen, das Werkzeug eignet sich besonders für visuelle Lerntypen die mit reinen Textzusammenfassungen wenig anfangen können.\n\n45. **#445** — erstelle einen Motivations-Tracker mit Belohnungssystem für Lernziele - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eigene Lernziele definieren mit realistischem Zeitrahmen, Fortschritts-Balken pro Ziel mit Teilschritten, Sammel-Punkte-System für erledigte Lerneinheiten statt Geldwert-Belohnungen, Abzeichen-Galerie freischaltbare Symbole bei Meilensteinen, Streak-Anzeige aufeinanderfolgende Lerntage, Selbstgewählte-Belohnungen eintragbar z.B. Freizeitaktivität statt vorgegebener Konsum-Anreize, Wochenrückblick erreichte vs verpasste Ziele (ApexCharts Balken), Rückschlags-freundliche Sprache bei verpassten Zielen ohne Bestrafungslogik, Eltern-Einsicht optional zum gemeinsamen Feiern von Erfolgen, Erinnerungsfunktion für gesetzte Ziele, Altersgerechtes buntes aber nicht überreizendes Design, GSAP Abzeichen-Freischalt-Animationen - USE CASE: Schüler bleiben über längere Zeiträume wie ein ganzes Schulhalbjahr motiviert an selbstgesetzten Lernzielen dran, das punktebasierte statt geldbasierte System fördert intrinsische Motivation ohne Konsumdruck.\n\n46. **#446** — entwickle eine Entspannungs-und-Achtsamkeits-App vor Prüfungen - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kurze geführte Achtsamkeitsübungen 3-5 Minuten altersgerecht formuliert, Progressive-Muskelentspannung-Anleitung Schritt für Schritt, Visualisierungs-Übung sicherer-Ort-Vorstellung vor stressigen Situationen, Gedanken-Stopp-Technik-Anleitung bei Grübelschleifen vor der Klausur, Tages-Stimmungs-Tagebuch mit einfachen Emoji-Symbolen, Sanfte Hintergrundklänge-Auswahl Natur/Stille, Verlaufsstatistik genutzte Übungen und Stimmungstrend (ApexCharts Linie), Eltern-Info-Sektion Anzeichen von echtem Prüfungsangst-Leidensdruck erkennen mit Hinweis auf professionelle Hilfe, Keine Registrierung nötig komplett lokal gespeichert, Offline-Nutzung im Klassenzimmer, Ruhiges nicht-reizüberflutendes Design, GSAP sanfte Übergangs-Animationen - USE CASE: Schüler bauen mit kurzen täglichen Übungen allgemeine Stressresilienz auf statt nur akut vor der Klausur zu reagieren, die Eltern-Info-Sektion hilft ernsthafte Angstsymptome von normaler Prüfungsnervosität zu unterscheiden.\n\n47. **#447** — programmiere einen interaktiven Lerntechniken-Explainer für Schüler - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Methoden-Bibliothek Cornell-Methode/Loci-Methode/Karteikasten/Mindmapping/Pomodoro mit kurzen Erklärvideos-Platzhaltern, Interaktives Ausprobieren jeder Methode an einem Beispielthema direkt in der App, Eignungs-Test welche Methode passt zu meinem Lerntyp mit Auswertung, Vergleichstabelle Vor-und-Nachteile pro Methode, Schritt-für-Schritt-Anleitungen mit Beispielen aus echten Schulfächern, Erfolgsgeschichten-Sektion wie andere Schüler die Methode nutzen, Fortschritts-Tracker welche Methoden bereits ausprobiert wurden (ApexCharts Radial), Quiz zum Verständnis-Check nach jeder Methode, Empfehlungs-Kombination mehrere Methoden sinnvoll kombinieren, Druckversion Methoden-Spickzettel, GSAP Methoden-Karten-Umblätter-Animationen - USE CASE: Schüler entdecken durch praktisches Ausprobieren welche Lerntechnik tatsächlich zu ihnen passt statt nur davon zu hören, Nachhilfelehrer nutzen die App als strukturierte Einführung in Lernstrategien zu Beginn der Zusammenarbeit.\n\n48. **#448** — baue eine Prüfungssimulation mit Stressbewältigungs-Feedback - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Realistische Klausur-Simulation mit Zeitdruck und typischer Prüfungsatmosphäre-Beschreibung, Vor-der-Simulation-Atemübung zur Einstimmung, Stimmungs-Check vor und nach der Simulation, Selbsteinschätzungs-Fragebogen wie sicher fühlte sich der Schüler während der Bearbeitung, Verzögerungs-Erkennung bei welchen Aufgabentypen entsteht Stress-Zeitverlust, Nachbesprechungs-Modul was lief gut/was war stressig mit konkreten Tipps, Wiederholungs-Simulationen zum Vergleich der Stress-Entwicklung über Zeit (ApexCharts Linie), Ruhepausen-Simulation eingebaute kurze Verschnaufpause während längerer Tests, Positive-Verstärkung nach erfolgreicher Bewältigung, Elternhinweis nur bei wiederholt sehr hohem Stresslevel sichtbar, Keine echten Noten nur Übungscharakter betont, GSAP Simulations-Umgebungs-Animationen - USE CASE: Schüler mit ausgeprägter Prüfungsangst gewöhnen sich schrittweise an die Prüfungssituation in einem sicheren Rahmen, Nachhilfelehrer erkennen anhand der Verzögerungs-Erkennung welche Aufgabentypen besonders Stress auslösen.\n\n49. **#449** — erstelle einen Konzentrations-Trainer mit Fokus-Übungen für Schüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze Konzentrationsspiele Zahlen-Merken/Muster-Erkennen/Reaktionstest altersgerecht, Trainingsplan mit steigender Schwierigkeit über mehrere Wochen, Ablenkungs-Simulation Übungen bewusst mit Störgeräuschen zum Fokus-Training, Fortschritts-Statistik Konzentrationsspanne über Zeit (ApexCharts Linie), Vergleich zu eigenen Bestwerten als Motivation statt Vergleich mit anderen Kindern, Kurze-Pausen-Empfehlung zwischen Übungseinheiten, Bildschirmzeit-Begrenzungs-Hinweis eingebaute Erinnerung nach 15 Minuten Pause zu machen, Eltern-Info-Sektion wie Konzentrationsfähigkeit sich altersgerecht entwickelt, Kindgerechtes farbenfrohes aber ruhiges Design, Offline-Nutzung als PWA, Keine Werbung und keine Suchtmechaniken bewusst vermieden, GSAP Übungs-Erfolgs-Animationen - USE CASE: Schüler mit Konzentrationsschwierigkeiten trainieren spielerisch ihre Fokusfähigkeit in kurzen sicheren Einheiten, das bewusste Vermeiden von Suchtmechaniken unterscheidet die App von kommerziellen Gehirnjogging-Apps mit Dauernutzungs-Anreiz.\n\n50. **#450** — entwickle einen Positive-Selbstgespräch-Coach vor Prüfungen für Schüler - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Bibliothek positiver alters- und situationsgerechter Affirmationen gegen negative Gedankenspiralen, Gedanken-Umformulierungs-Übung negativer Gedanke wird gemeinsam in konstruktiven Gedanken umgewandelt, Erfolgstagebuch vergangene gemeisterte Herausforderungen als Erinnerung an eigene Fähigkeiten, Tages-Mantra-Auswahl vor der Klausur, Kurzes Reflexions-Ritual nach jeder Prüfung unabhängig vom Ergebnis, Fortschritts-Sammlung gesammelter positiver Selbstgespräche über Zeit, Eltern-Leitfaden wie man Kinder unterstützend statt bewertend anspricht, Kindgerechte einfache Sprache ohne psychologischen Fachjargon, Keine Bewertung oder Vergleich mit anderen eingebaut, Offline-Nutzung ohne Internet direkt im Klassenzimmer, Ruhiges Design ohne Reizüberflutung, GSAP sanfte Text-Einblend-Animationen - USE CASE: Schüler mit negativem inneren Dialog vor Prüfungen lernen eine konstruktivere Selbstansprache, das Erfolgstagebuch macht sichtbar dass bereits viele Herausforderungen erfolgreich gemeistert wurden.\n\n## Kategorie 6: ELTERN-KIND-LERNBEGLEITUNG (10 Prompts)\n\n51. **#451** — erstelle ein Eltern-Fortschrittsdashboard zum Lernstand des Kindes - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Übersicht Notentrend pro Fach über das Schulhalbjahr (ApexCharts Linie), Lernzeit-Zusammenfassung aus Hausaufgaben- und Lernplan-Tracker automatisch übernommen, Stärken-und-Schwächen-Radar pro Fach (D3.js Radar), Bevorstehende-Klausuren-Übersicht mit Vorbereitungsstand, Erfolgs-Highlights positive Entwicklungen hervorgehoben statt nur Probleme, Wochenzusammenfassung als kurzer verständlicher Textbericht automatisch generiert, Vergleich zu eigenen Vorperioden nicht zu anderen Kindern, Gesprächsleitfaden-Vorschläge für konstruktive Elterngespräche, Datenschutz-Hinweis alle Daten bleiben lokal auf dem Familiengerät, Mehrkind-Umschaltung mit getrennten Profilen, Export als PDF für Elternabend, GSAP Dashboard-Aufbau-Animationen - USE CASE: Eltern verschaffen sich einen sachlichen Überblick über den Lernfortschritt ihres Kindes ohne täglich nachfragen zu müssen, die Erfolgs-Highlights helfen das Gespräch positiv statt nur problemorientiert zu führen.\n\n52. **#452** — entwickle ein Eltern-Kind-Hausaufgaben-Check-Tool für gemeinsames Arbeiten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsame Checkliste Hausaufgaben durchgehen mit Ampel-Status pro Aufgabe, Verständnis-Check-Fragen die Eltern dem Kind stellen können ohne selbst Fachexperte zu sein, Erklär-Hinweise zu Fachbegriffen für Eltern die den Schulstoff nicht mehr präsent haben, Zeitschätzung wie lange die gemeinsame Kontrolle dauern sollte, Positive-Rückmeldungs-Vorlagen wie man Fehler konstruktiv anspricht, Fortschritts-Historie über Wochen wie oft gemeinsame Kontrolle stattfand (ApexCharts Balken), Selbstständigkeits-Tracker zunehmend eigenständige Erledigung als Ziel sichtbar machen, Erinnerungsfunktion für die gemeinsame Check-Zeit, Kindgerechte Ansicht parallel zur Eltern-Ansicht, Offline-Nutzung als PWA, GSAP Check-Abhak-Animationen - USE CASE: Eltern ohne Fachkenntnisse im jeweiligen Schulfach begleiten die Hausaufgabenkontrolle trotzdem strukturiert, der Selbstständigkeits-Tracker macht sichtbar wenn das Kind schrittweise weniger Begleitung braucht.\n\n53. **#453** — programmiere ein Kommunikationslog zwischen Eltern und Nachhilfelehrer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Chronologischer Nachrichtenverlauf zu einzelnen Nachhilfestunden, Stundenbericht-Vorlage vom Nachhilfelehrer Thema/Fortschritt/nächste Schritte, Fragen-Sektion für Eltern zwischen den Stunden, Terminübersicht kommende Nachhilfestunden mit Bestätigungs-Status, Lernziel-Verlauf gemeinsam vereinbarte Ziele mit Fortschrittsstatus, Notenentwicklung-Verknüpfung zur Erfolgskontrolle (ApexCharts Linie), Zahlungsstatus-Übersicht für Transparenz bei Stundenpaketen, Feedback-Formular nach jeder Stunde beidseitig, Dateiaustausch-Bereich-Mockup für Übungsmaterial, Datenschutz-bewusst nur notwendige Informationen keine sensiblen Schulnoten-Details ohne Zustimmung, Erinnerungsfunktion für anstehende Termine, GSAP Nachrichtenverlauf-Einblend-Animationen - USE CASE: Eltern und Nachhilfelehrer halten Absprachen und Fortschritte nachvollziehbar fest statt sich auf mündliche Erinnerung zu verlassen, Transparenz über Lernziele und Zahlungsstatus vermeidet Missverständnisse über die Zusammenarbeit.\n\n54. **#454** — baue ein altersgerechtes Belohnungssystem für erledigte Lernziele - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsam mit Eltern definierte Lernziele mit fairen erreichbaren Etappen, Sticker-und-Abzeichen-Sammlung statt monetärer Belohnung im Vordergrund, Punktekonto für erledigte Lerneinheiten das in selbstgewählte kleine Belohnungen eingetauscht werden kann, Familien-Belohnungs-Katalog gemeinsam erstellt Ausflug/Spielzeit/Wunschessen, Fortschritts-Anzeige kindgerecht mit Symbolen statt Zahlen für jüngere Kinder, Eltern-Kind-gemeinsame-Freigabe für Belohnungen als Ritual, Wochenrückblick als gemeinsames Familienritual, Verlaufsstatistik erreichte Ziele über Zeit (ApexCharts Balken), Fairness-Hinweise Belohnung an Anstrengung statt nur an Note koppeln, Keine Bestrafungs-Logik bei verpassten Zielen nur Ermutigung, Buntes aber nicht reizüberflutendes Design, GSAP Belohnungs-Freischalt-Animationen - USE CASE: Familien gestalten Motivation für Lernziele gemeinsam statt einseitig vorzugeben, die Kopplung an Anstrengung statt nur an Noten vermeidet Frustration bei Kindern die sich trotz Mühe schwertun.\n\n55. **#455** — erstelle einen automatischen Eltern-Wochenbericht-Generator zum Lernfortschritt - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Automatische Zusammenfassung aus Hausaufgaben-, Lernplan- und Übungstest-Daten der Woche, Verständliche Textform statt reiner Zahlen-Dashboards für Eltern ohne Zeit für Detailanalyse, Highlight-der-Woche größter Lernfortschritt automatisch hervorgehoben, Themen-Überblick was wurde diese Woche in welchem Fach bearbeitet, Empfehlungs-Sektion worauf nächste Woche der Fokus liegen könnte, Vergleich zur Vorwoche als kurze Trend-Anzeige (ApexCharts Sparkline), Anpassbare Berichtsfrequenz wöchentlich oder zweiwöchentlich, Versand-Mockup als druckbare Zusammenfassung statt echtem E-Mail-Versand, Datenschutz-Hinweis Bericht bleibt lokal im Familienkreis, Mehrkind-Berichte getrennt, Ton-Einstellung sachlich oder ermutigend wählbar, GSAP Bericht-Erstellungs-Animationen - USE CASE: Berufstätige Eltern erhalten ohne täglichen Nachfrage-Aufwand eine verständliche Wochenzusammenfassung, der automatisch hervorgehobene Fortschritt sorgt für positive statt nur mahnende Gesprächsanlässe.\n\n56. **#456** — entwickle einen Familien-Lernkalender zur gemeinsamen Planung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsamer Kalender für Klausurtermine, Nachhilfestunden und Lerneinheiten aller Kinder der Familie, Farbcodierung pro Kind ohne Klarnamen nur Vornamen-Kürzel, Konfliktwarnung bei Terminüberschneidungen mehrerer Kinder, Familienzeit-Blöcke bewusst als Lernpausen markiert, Wochenübersicht wer hat wann welche Verpflichtung, Erinnerungsfunktion für anstehende Termine, Verknüpfung zu individuellen Lernplänen pro Kind, Export als Familienkalender zum Aushängen, Statistik Lernzeit-Verteilung zwischen Geschwistern nur zur eigenen Planungsübersicht ohne Vergleichs-Wertung, Offline-Nutzung als PWA, GSAP Kalender-Eintrags-Animationen - USE CASE: Familien mit mehreren schulpflichtigen Kindern koordinieren Nachhilfetermine und Klausurphasen ohne Terminchaos, die bewusst markierten Familienzeit-Blöcke verhindern dass Lernorganisation die gesamte Familienzeit dominiert.\n\n57. **#457** — programmiere einen Eltern-Gesprächsleitfaden zur Elternsprechtag-Vorbereitung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fragenkatalog nach Fach vorbereitbar für das Lehrergespräch, Notenverlauf-Zusammenfassung als Gesprächsgrundlage automatisch aus eigenen Daten erstellt, Beobachtungs-Notizfeld eigene Eindrücke vor dem Gespräch sammeln, Prioritäten-Sortierung welche Themen zuerst angesprochen werden sollen bei begrenzter Gesprächszeit, Nachbereitungs-Sektion Ergebnisse und Vereinbarungen aus dem Gespräch festhalten, Verlaufsübersicht vergangener Elterngespräche und deren Vereinbarungen, Erinnerungsfunktion für den Termin, Formulierungshilfen für schwierige Themen konstruktiv ansprechen, Checkliste Unterlagen die zum Gespräch mitgebracht werden sollten, Export Gesprächsnotizen als PDF, Mehrkind-Verwaltung getrennte Leitfäden, GSAP Fragenkatalog-Aufbau-Animationen - USE CASE: Eltern gehen strukturiert statt spontan in den kurzen Elternsprechtags-Termin und verpassen keine wichtige Frage, die Nachbereitungs-Sektion hilft getroffene Vereinbarungen tatsächlich nachzuverfolgen.\n\n58. **#458** — baue eine Eltern-Kind-Lernvertrag-App zur digitalen Zielvereinbarung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gemeinsamer Editor für Lernziele und gegenseitige Verpflichtungen Eltern und Kind, Vorlagen-Bibliothek altersgerechte Beispiel-Vereinbarungen zu Bildschirmzeit/Hausaufgaben/Lernzeiten, Digitale Unterschrift-Simulation beider Seiten als symbolischer Akt, Fortschritts-Checkpoints regelmäßige gemeinsame Überprüfung vereinbart, Anpassungs-Historie wie sich der Vertrag über das Schuljahr verändert hat, Erinnerungsfunktion für vereinbarte Check-in-Termine, Fairness-Hinweise Vertrag sollte für beide Seiten Verpflichtungen enthalten nicht nur einseitig, Visualisierung eingehaltener vs verpasster Vereinbarungen (ApexCharts Donut), Konfliktlösungs-Leitfaden bei Uneinigkeit über Vertragspunkte, Export als unterschreibbares PDF für den Kühlschrank, Kindgerechte einfache Sprache in Vorlagen, GSAP Vertrags-Unterzeichnungs-Animationen - USE CASE: Familien vereinbaren Lernregeln transparent und für beide Seiten nachvollziehbar statt einseitiger Vorgaben, die beidseitige Verpflichtungsstruktur reduziert erfahrungsgemäß Konflikte um Hausaufgaben und Bildschirmzeit.\n\n59. **#459** — erstelle eine Eltern-Coaching-Tipps-App zur Unterstützung ohne Druck - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze alltagstaugliche Tipps-Sammlung nach Situation sortiert Motivationsprobleme/Prüfungsangst/Konzentrationsschwierigkeiten, Selbsttest wie unterstützend oder wie drucklastig ist die eigene Kommunikation mit dem Kind, Formulierungs-Beispiele hilfreiche vs kontraproduktive Sätze gegenübergestellt, Experten-Hintergrundwissen kindgerecht aufbereitet zu Entwicklungspsychologie und Lernmotivation, Reflexions-Tagebuch für Eltern eigene Erfahrungen und Fortschritte notieren, Community-Erfahrungsberichte-Mockup anderer Eltern anonymisiert, Wochentipp-Rotation neue Impulse regelmäßig, Warnzeichen-Sektion wann professionelle Unterstützung sinnvoll sein könnte, Fortschritts-Tracker eigene Anwendung der Tipps im Alltag, Suchfunktion nach Situation, GSAP Tipp-Karten-Einblend-Animationen - USE CASE: Eltern die unsicher sind wie sie unterstützen können ohne zusätzlichen Druck aufzubauen finden konkrete Formulierungshilfen, der Selbsttest macht das eigene Kommunikationsmuster mit dem Kind bewusster.\n\n60. **#460** — entwickle einen Zeugnis-und-Notenverlauf-Tracker für die Eltern-Ansicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Manuelle Noteneingabe pro Fach und Schuljahr, Notenverlauf-Chart über mehrere Schuljahre pro Fach (ApexCharts Linie), Zeugnis-Archiv-Übersicht Halbjahres- und Jahreszeugnisse chronologisch, Notenschnitt-Berechnung automatisch nach Schulform-Gewichtung, Trend-Erkennung Verbesserung oder Verschlechterung pro Fach farblich markiert, Fach-Vergleich innerhalb des Kindes welche Fächer stärker oder schwächer sind (D3.js Radar), Kommentar-Feld pro Zeugnis eigene Beobachtungen festhalten, Mehrkind-Verwaltung getrennte Profile ohne Vergleichsdruck zwischen Geschwistern, Zielnote-Eintrag pro Fach mit Fortschritts-Anzeige zur Zielerreichung, Export Notenübersicht als PDF, Datenschutz alle Daten ausschließlich lokal gespeichert, GSAP Notenverlaufs-Zeichen-Animationen - USE CASE: Eltern behalten die längerfristige Notenentwicklung ihres Kindes über mehrere Schuljahre im Blick statt nur einzelne Zeugnisse isoliert zu betrachten, die getrennte Geschwister-Verwaltung vermeidet dabei bewusst direkten Vergleichsdruck.\n\n## Kategorie 7: NACHHILFELEHRER-VERWALTUNG & TERMINPLANUNG (10 Prompts)\n\n61. **#461** — erstelle eine Schülerkartei-Verwaltung für private Nachhilfelehrer - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schülerprofile mit Fach/Klassenstufe/Schulform und minimalen notwendigen Kontaktdaten, Lernziel-Dokumentation pro Schüler mit Fortschrittsstatus, Stundenhistorie chronologisch pro Schüler, Themen-Verlauf was wurde in welcher Stunde behandelt, Stärken-Schwächen-Profil pro Schüler (D3.js Radar), Kontaktdaten-Verwaltung Eltern-Ansprechpartner getrennt von Schülerdaten, Auslastungs-Übersicht aktive vs pausierte Schüler, Erinnerungsfunktion für Vertragsverlängerungen oder Stundenpaket-Ende, Notizfeld vertrauliche Beobachtungen nur für den Nachhilfelehrer sichtbar, Such- und Filterfunktion nach Fach/Klassenstufe, Export Schülerübersicht als Tabelle, Datenschutz-Hinweis DSGVO-konforme minimale Datenspeicherung ausschließlich lokal, GSAP Profil-Karten-Animationen - USE CASE: Nachhilfelehrer mit vielen parallelen Schülern behalten Lernstand und Vereinbarungen pro Schüler übersichtlich fest, die datenschutzbewusste minimale Datenerhebung schützt sensible Informationen über Minderjährige konsequent.\n\n62. **#462** — entwickle einen Terminplanungs-Kalender für Nachhilfestunden - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Wochen- und Monatsansicht aller gebuchten Nachhilfetermine, Wiederkehrende-Termine-Vorlage für feste wöchentliche Stunden, Verfügbarkeits-Übersicht freie Zeitfenster für Neubuchungen, Farbcodierung pro Schüler oder Fach, Absage-und-Verschiebungs-Verwaltung mit Historie, Anfahrtszeiten-Puffer zwischen Terminen bei Hausbesuchen, Auslastungs-Statistik Stunden pro Woche im Verlauf (ApexCharts Balken), Erinnerungsfunktion für bevorstehende Termine, Doppelbuchungs-Warnung bei Terminkonflikten, Ferienzeiten-Markierung automatische Pausenerkennung, Export Wochenplan als druckbare Übersicht, GSAP Terminkarten-Animationen - USE CASE: Nachhilfelehrer mit vielen Einzel- und Gruppenterminen vermeiden Doppelbuchungen und Terminchaos, die Auslastungs-Statistik hilft realistisch einzuschätzen wie viele neue Schüler noch aufgenommen werden können.\n\n63. **#463** — programmiere einen Rechnungsgenerator für Nachhilfestunden - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Stundensatz-Konfiguration pro Schüler oder pauschal, Automatische Rechnungserstellung aus erfassten Nachhilfestunden im Zeitraum, Rechnungsvorlagen-Editor mit eigenem Namen und Kontaktdaten, Zahlungsstatus-Tracking bezahlt/offen/überfällig, Mahnwesen-Vorlage bei überfälligen Zahlungen freundlich formuliert, Einnahmen-Übersicht pro Monat und Jahr (ApexCharts Balken), Stundenpaket-Verwaltung Restguthaben pro Schüler, Steuerliche-Vorbereitung-Export Jahresübersicht für die Steuererklärung als Kleinunternehmer, Rechnungsarchiv durchsuchbar, Rabatt-und-Paket-Konfiguration Geschwisterrabatt oder Zehnerkarten, PDF-Export professionell formatiert, GSAP Rechnungserstellungs-Animationen - USE CASE: Selbstständige Nachhilfelehrer verwalten Abrechnung und Zahlungseingänge professionell statt handschriftlicher Notizen, die Jahresübersicht erleichtert die eigene Steuererklärung erheblich.\n\n64. **#464** — baue ein Lernfortschritts-Notizen-Tool pro Schüler für Nachhilfelehrer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierte Stundenprotokoll-Vorlage Thema/Beobachtung/Hausaufgabe/nächste-Schritte, Fortschritts-Bewertung pro Kompetenzbereich mit einfacher Skala, Verlaufsansicht aller Protokolle chronologisch pro Schüler, Themen-Abdeckungs-Übersicht was wurde im Lehrplan bereits behandelt (D3.js), Wiedervorlage-Markierung Themen die nochmal aufgegriffen werden sollten, Elternbericht-Export vereinfachte Version ohne interne Notizen für Weitergabe an Eltern, Notenentwicklung-Verknüpfung zur Erfolgskontrolle der Nachhilfe (ApexCharts Linie), Suchfunktion über alle Protokolle nach Thema, Vorlagen-Bibliothek für wiederkehrende Themenblöcke je Fach, Erinnerungsfunktion offene Wiedervorlage-Themen, Vertraulichkeits-Kennzeichnung private vs teilbare Notizen, GSAP Protokoll-Eintrag-Animationen - USE CASE: Nachhilfelehrer dokumentieren jede Stunde nachvollziehbar statt sich auf das Gedächtnis zu verlassen, der separate Elternbericht-Export ermöglicht Transparenz ohne private pädagogische Einschätzungen preiszugeben.\n\n65. **#465** — erstelle eine Unterrichtsmaterial-Bibliothek nach Fach-und-Klassenstufe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorisierte Materialablage Fach/Klassenstufe/Schulform/Themenbereich, Vorlagen-Sammlung eigene Arbeitsblätter und Übungen wiederverwendbar, Verknüpfung zu passenden Übungstests aus der Testbibliothek, Tag-System für flexible Zusatz-Kategorisierung, Nutzungshäufigkeits-Statistik welche Materialien am häufigsten eingesetzt werden (ApexCharts Balken), Versionsverwaltung bei überarbeiteten Arbeitsblättern, Volltextsuche über Materialtitel und Themen, Favoriten-Sammlung bewährter Materialien, Materialpaket-Zusammenstellung für neue Schüler nach Schulform, Druckansicht direkt aus der Bibliothek, Freigabe-Kennzeichnung eigenes vs aus anderen Quellen übernommenes Material, GSAP Bibliotheks-Grid-Animationen - USE CASE: Nachhilfelehrer mit wachsendem Materialfundus finden passende Arbeitsblätter sofort statt in Ordnern zu suchen, neue Schüler erhalten durch die Materialpaket-Funktion schnell ein passendes Einstiegspaket nach Schulform.\n\n66. **#466** — entwickle einen Nachhilfe-Preise-und-Pakete-Kalkulator - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Preismodell-Konfigurator Einzelstunde/Zehnerkarte/Monatspauschale mit automatischer Ersparnis-Berechnung, Regionale-Preisvergleich-Referenz zur eigenen Preisfindung, Fach-und-Klassenstufen-abhängige-Staffelung Oberstufe-Abitur oft höherer Satz, Gruppenrabatt-Rechner bei Kleingruppen-Nachhilfe, Umsatzprognose bei verschiedenen Auslastungsszenarien (ApexCharts Balken), Deckungsbeitrags-Rechner nach Abzug von Fahrtkosten und Materialkosten, Angebots-Generator für neue Interessenten mit gewähltem Paket, Vergleichstabelle eigener Pakete für Website oder Aushang, Break-Even-Rechner wie viele Stunden pro Monat nötig sind, Saisonale-Nachfrage-Notiz Klausurphasen als umsatzstärkere Zeiten markieren, Export Preisliste als PDF, GSAP Paket-Vergleichs-Animationen - USE CASE: Angehende Nachhilfelehrer kalkulieren eine faire und wettbewerbsfähige Preisstruktur bevor sie neue Schüler akquirieren, etablierte Anbieter prüfen mit dem Deckungsbeitrags-Rechner ob sich Hausbesuche mit Fahrtaufwand noch lohnen.\n\n67. **#467** — programmiere ein Elternkommunikations-Center für Nachhilfelehrer - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zentrale Nachrichtenübersicht getrennt nach Familie statt Einzelchats verstreut, Vorlagen-Bibliothek für wiederkehrende Nachrichten Terminbestätigung/Absage/Fortschrittsupdate, Rundmail-Funktion-Mockup für organisatorische Ankündigungen an alle aktiven Familien, Antwort-Status-Tracking wer hat auf welche Nachricht reagiert, Terminanfragen-Verwaltung eingehende Anfragen mit Annehmen/Ablehnen, Kommunikationshistorie durchsuchbar pro Familie, Erinnerungsfunktion für unbeantwortete Anfragen, Feedback-Sammlung nach Probestunden strukturiert, Datenschutz-Hinweis Kommunikation ausschließlich mit Erziehungsberechtigten dokumentiert, Prioritäts-Kennzeichnung dringende Anfragen, Export Kommunikationsverlauf pro Familie, GSAP Nachrichtenzentrale-Animationen - USE CASE: Nachhilfelehrer mit vielen parallelen Familienkontakten verlieren keine offenen Anfragen mehr in verstreuten Chatverläufen, die Vorlagen-Bibliothek spart Zeit bei wiederkehrender organisatorischer Kommunikation.\n\n68. **#468** — baue einen Gruppenunterricht-Planer für Nachhilfeinstitute - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gruppenzusammenstellung nach Fach/Klassenstufe/Leistungsniveau für passende Kleingruppen, Kapazitätsplanung maximale Gruppengröße pro Fach, Themenplan-Synchronisierung passend zum Schullehrplan der Gruppe, Individuelle-Fortschritts-Erfassung trotz Gruppenunterricht pro Schüler, Warteliste-Verwaltung bei ausgebuchten Gruppen, Terminfindungs-Tool welcher Termin passt für die meisten Gruppenmitglieder, Auslastungs-Dashboard über alle Gruppen (ApexCharts Balken), Umgruppierungs-Vorschlag bei stark unterschiedlichem Fortschritt innerhalb einer Gruppe, Elterninformation pro Gruppe getrennt vom Einzelunterricht, Materialverteilung an gesamte Gruppe gleichzeitig, Export Gruppenübersicht für Institutsleitung, GSAP Gruppen-Zuordnungs-Animationen - USE CASE: Nachhilfeinstitute mit mehreren parallelen Kleingruppen behalten trotz Gruppenformat den individuellen Fortschritt jedes Schülers im Blick, die Umgruppierungs-Vorschläge verhindern dass leistungsstärkere und schwächere Schüler dauerhaft in ungeeigneten Gruppen verbleiben.\n\n69. **#469** — erstelle ein Probestunden-Buchungs-Tool für neue Nachhilfeschüler - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buchungsformular für Erstkontakt mit Fach/Klassenstufe/Anliegen ohne unnötige Datenabfrage, Verfügbare-Termine-Kalender für Probestunden, Vorab-Fragebogen zur Einschätzung des aktuellen Wissensstands, Automatische Bestätigungs-Vorlage nach Buchung, Erinnerungsfunktion vor der Probestunde, Nachbereitungs-Formular Ergebnis der Probestunde und Einschätzung des Förderbedarfs, Umwandlungs-Tracking wie viele Probestunden zu regelmäßiger Nachhilfe führen (ApexCharts Balken), Feedback-Erfassung von Eltern nach der Probestunde, Absage-und-Verschiebungs-Verwaltung, Kapazitäts-Anzeige wie viele neue Schüler aktuell aufgenommen werden können, Datenschutz-Hinweis minimale Datenerhebung nur für die Terminorganisation nötig, GSAP Buchungsbestätigungs-Animationen - USE CASE: Nachhilfelehrer organisieren den Erstkontakt mit potenziellen neuen Schülern professionell und effizient, die Umwandlungs-Statistik zeigt wie erfolgreich Probestunden tatsächlich zu langfristiger Zusammenarbeit führen.\n\n70. **#470** — entwickle ein Nachhilfelehrer-Auslastungs-Dashboard Stunden-und-Einnahmen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Gesamtübersicht wöchentliche und monatliche Unterrichtsstunden über alle Schüler, Einnahmen-Entwicklung im Zeitverlauf (ApexCharts Linie), Auslastungsgrad-Anzeige freie Kapazität vs ausgebucht, Fach-Verteilung welche Fächer den größten Anteil der Stunden ausmachen (D3.js Treemap), Stundensatz-Durchschnitt über alle Schüler und Pakete, Kündigungs-und-Neuzugangs-Tracking Fluktuation über Zeit, Saisonale-Muster-Erkennung Klausurphasen mit erhöhter Nachfrage, Arbeitszeit-Belastungs-Warnung bei zu vielen Wochenstunden, Ziel-Einnahmen-Vergleich Soll vs Ist, Export Jahresübersicht für die eigene Buchhaltung, Wochentag-Verteilung wann die meisten Stunden stattfinden, GSAP Dashboard-Kennzahlen-Animationen - USE CASE: Selbstständige Nachhilfelehrer verschaffen sich einen unternehmerischen Überblick über ihre gesamte Tätigkeit statt nur einzelne Schülerkarteien zu führen, die Arbeitszeit-Belastungs-Warnung hilft eine gesunde Auslastung ohne Selbstausbeutung zu halten.\n\n## Kategorie 8: INTERAKTIVE SCHULFACH-SIMULATIONEN (10 Prompts)\n\n71. **#471** — erstelle einen sicheren Physik-Experiment-Simulator für Stromkreise - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Virtueller Schaltkreis-Baukasten Batterie/Widerstand/Lampe/Schalter per Drag-and-Drop, Live-Simulation Stromfluss visualisiert bei geschlossenem Schaltkreis (D3.js Animation), Reihen-und-Parallelschaltung-Vergleich direkt nebeneinander aufbaubar, Messgeräte-Simulation virtuelles Amperemeter und Voltmeter einfügbar, Automatische Berechnung von Gesamtwiderstand und Stromstärke passend zum Aufbau, Fehler-Erkennung Kurzschluss-Warnung bei falschem Aufbau ungefährlich in der Simulation, Aufgaben-Modus vorgegebene Zielwerte durch richtigen Aufbau erreichen, Erklär-Popover zu jedem Bauteil, Speicherbare-eigene-Schaltkreise zum späteren Wiederholen, Vergleich zu Formelsammlung-Werten aus dem Physik-Nachschlagewerk, Explizit als reine Simulation gekennzeichnet kein echtes Laborexperiment, GSAP Stromfluss-Partikel-Animationen - USE CASE: Schüler ohne Zugang zu echtem Physik-Laborequipment üben Schaltkreis-Aufbau gefahrlos am Bildschirm, Nachhilfelehrer visualisieren abstrakte Stromkreis-Konzepte greifbar bevor der echte Schulversuch im Unterricht stattfindet.\n\n72. **#472** — entwickle einen sicheren Chemie-Reaktions-Simulator ohne echtes Labor - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Reagenzglas-Baukasten Stoffe per Klick kombinieren, Reaktionsvisualisierung Farbwechsel/Gasentwicklung/Niederschlag animiert (D3.js), Reaktionsgleichung wird automatisch passend zur Simulation eingeblendet und ausgeglichen, Sicherheitshinweise-Sektion erklärt warum bestimmte Reaktionen nur im echten Unterricht unter Aufsicht durchgeführt werden, Aufgaben-Modus vorgegebenes Zielprodukt durch richtige Kombination erreichen, Stoffeigenschaften-Nachschlage-Popover pro verwendetem Stoff, Fehlversuch-Feedback ohne reale Gefahr bei falscher Kombination nur Hinweistext, Fortschritts-Tracker gemeisterte Reaktionstypen, Verknüpfung zur Chemie-Formelsammlung für Stöchiometrie-Nachrechnung, Explizit als reine Lernsimulation gekennzeichnet, Wiederholungsmodus für Klausurvorbereitung, GSAP Reaktions-Farbwechsel-Animationen - USE CASE: Schüler verstehen chemische Reaktionen visuell nachvollziehbar ohne die Risiken eines echten Experiments, die App ergänzt den schulischen Chemieunterricht als sicheres Wiederholungswerkzeug zuhause.\n\n73. **#473** — programmiere einen interaktiven Geschichts-Zeitstrahl-Explorer - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zoombarer Zeitstrahl von Antike bis Gegenwart nach Lehrplan-Epochen (D3.js Zeitachse), Epochen-Detailseiten mit zentralen Ereignissen und Ursache-Wirkungs-Zusammenhängen, Verknüpfungs-Ansicht Parallelereignisse in verschiedenen Regionen zur gleichen Zeit, Quellenausschnitte-Sammlung kurze historische Textquellen mit Einordnungshilfe, Zeitleisten-Quiz Ereignisse in richtige Reihenfolge bringen, Karten-Integration wie sich Grenzen über Epochen veränderten, Personen-Steckbriefe zu zentralen historischen Figuren, Themen-Filter Politik/Gesellschaft/Kultur separat einblendbar, Fortschritts-Tracker erkundete Epochen, Lesezeichen für klausurrelevante Ereignisse, Druckansicht als Zeitstrahl-Merkblatt, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Schüler verstehen historische Zusammenhänge über Epochen hinweg statt isolierter Einzelfakten, das PWA-Format eignet sich als digitale Erweiterung klassischer Geschichts-Nachhilfe wie bei den PWA-HISTORY-NACHHILFE-Projekten im eigenen Archiv.\n\n74. **#474** — baue ein Biologie-Diagramm-Beschriftungs-Tool für Zellen-und-Organe - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Diagramm-Bibliothek Tierzelle/Pflanzenzelle/menschliche-Organe nach Klassenstufe, Drag-and-Drop-Beschriftung Begriffe an richtige Stelle ziehen, Sofort-Feedback bei falscher Zuordnung mit Erklärung, Zoombare-Detailansicht komplexer Diagramme, Übungsmodus mit steigendem Schwierigkeitsgrad weniger Vorgaben, Zeitmess-Modus für Klausur-ähnliches Üben, Fortschritts-Statistik pro Diagrammtyp (ApexCharts Radial), Vergleichsansicht Tierzelle vs Pflanzenzelle nebeneinander, Fachbegriff-Verlinkung zum Biologie-Lexikon bei Unklarheiten, Eigene-Diagramme-Übung mit hochgeladenem Schulbuch-Diagramm-Platzhalter, Druckansicht unbeschrifteter Diagramme zum Selbstüben auf Papier, GSAP Beschriftungs-Einrast-Animationen - USE CASE: Schüler festigen die oft in Klassenarbeiten geforderte korrekte Beschriftung biologischer Diagramme praxisnah, der Zeitmess-Modus simuliert die reale Prüfungssituation solcher Beschriftungsaufgaben.\n\n75. **#475** — erstelle ein Erdkunde-Kartenquiz für Länder-Hauptstädte-und-Flüsse - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Interaktive Weltkarte mit klickbaren Ländern für Quizfragen, Themenmodule Hauptstädte/Flüsse/Gebirge/Kontinente nach Klassenstufe, Regionsfilter Europa/Deutschland-Bundesländer/Welt separat übbar, Blindkarten-Modus Länder ohne Beschriftung erkennen, Zeitmess-Modus für Wettbewerbscharakter, Fehleranalyse welche Regionen am schlechtesten abschneiden (ApexCharts Balken), Fortschritts-Fortschrittskarte bereits gemeisterte Regionen farblich markiert, Merkhilfen-Karten zu schwierig zu merkenden Ländern, Highscore-Tracker eigene Bestzeiten, Offline-Kartendaten für Nutzung ohne Internet, Druckansicht Blindkarten zum Selbstüben, GSAP Karten-Zoom-Animationen - USE CASE: Schüler festigen geografisches Grundwissen spielerisch statt stures Auswendiglernen von Ländernamen, das Bundesländer-Modul bereitet gezielt auf die in vielen Bundesländern früh gelehrte Deutschlandkunde vor.\n\n76. **#476** — entwickle einen Physik-Simulator für Mechanik Kräfte-und-Bewegung - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Bewegungs-Baukasten Masse/Kraft/Reibung einstellbar mit Live-Simulation, Kraft-Vektor-Visualisierung an bewegtem Objekt (D3.js), v-t-und-s-t-Diagramm live während der Simulation gezeichnet (ApexCharts), Vergleichsmodus zwei Szenarien mit unterschiedlichen Parametern nebeneinander, Aufgaben-Modus vorgegebene Zielgeschwindigkeit durch richtige Krafteinstellung erreichen, Reibungs-Einfluss-Demonstration mit und ohne Reibung vergleichbar, Newtonsche-Gesetze-Erklär-Popover passend zur laufenden Simulation, Formelverknüpfung zur Physik-Formelsammlung, Fortschritts-Tracker gemeisterte Aufgabentypen, Explizit als Simulation ohne echtes Experiment gekennzeichnet, Zeitlupen-Funktion zur genauen Beobachtung, GSAP Bewegungspfad-Animationen - USE CASE: Schüler verstehen abstrakte Bewegungsgesetze durch direktes Ausprobieren verschiedener Parameter visuell, die parallele Diagrammzeichnung verbindet den beobachteten Bewegungsablauf unmittelbar mit der mathematischen Darstellung.\n\n77. **#477** — programmiere einen Chemie-Periodensystem-Simulator für Elektronenkonfiguration - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktives Atommodell-Bohr-Schema pro Element mit Elektronenschalen (D3.js), Aufbau-Prinzip-Simulator Elektronen werden schrittweise auf Schalen verteilt mit Erklärung, Vergleichsmodus zwei Elemente nebeneinander zur Veranschaulichung von Periodizität, Ionenbildungs-Simulation wie Atome durch Elektronenabgabe oder -aufnahme zu Ionen werden, Bindungstyp-Demonstration Ionenbindung vs Elektronenpaarbindung vereinfacht visualisiert, Aufgaben-Modus Elektronenkonfiguration eines vorgegebenen Elements korrekt aufbauen, Verknüpfung zum Periodensystem-Explorer für Zusatzinformationen, Fortschritts-Tracker gemeisterte Elemente, Erklär-Popover zu Fachbegriffen wie Valenzelektronen, Zeitlupen-Modus für komplexere Konfigurationen, GSAP Elektronen-Bewegungs-Animationen - USE CASE: Schüler der Oberstufe verstehen den Aufbau der Elektronenhülle und dessen Zusammenhang mit dem Periodensystem anschaulich, die Ionenbildungs-Simulation macht das sonst abstrakte Konzept der chemischen Bindung greifbar.\n\n78. **#478** — baue einen Biologie-Genetik-Simulator für Mendelsche-Regeln - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Virtueller Kreuzungs-Baukasten Elterngenerationen mit wählbaren Merkmalen dominant/rezessiv, Automatische Kreuzungsschema-Erstellung Punnett-Quadrat live berechnet (D3.js), Wahrscheinlichkeits-Anzeige für Nachkommen-Merkmalsverteilung (ApexCharts Donut), Mehrgenerationen-Simulation F1 und F2-Generation nachvollziehbar, Erste-und-Zweite-Mendelsche-Regel-Erklärung passend zur laufenden Simulation, Aufgaben-Modus vorgegebenes Kreuzungsergebnis durch richtige Elternauswahl erreichen, Beispiel-Merkmale aus dem Schulunterricht Erbsenfarbe/Blütenform als Klassiker, Fortschritts-Tracker gemeisterte Kreuzungsaufgaben, Verknüpfung zum Biologie-Lexikon für Fachbegriffe, Druckansicht Kreuzungsschema als Übungsblatt, GSAP Kreuzungsschema-Aufbau-Animationen - USE CASE: Schüler verstehen Vererbungswahrscheinlichkeiten durch selbst durchgeführte Kreuzungen statt nur vorgerechnete Beispiele im Schulbuch nachzuvollziehen, die automatische Punnett-Quadrat-Berechnung hilft die Systematik hinter Mendels Regeln zu verinnerlichen.\n\n79. **#479** — erstelle einen Geschichts-Quellenanalyse-Trainer interaktiv - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Quellenbibliothek kurze historische Text- und Bildquellen nach Epoche kategorisiert, Schritt-für-Schritt-Anleitung Quellenanalyse Einordnung/Inhaltsangabe/Interpretation nach Schulstandard, Markier-Werkzeug wichtige Textstellen im Quellentext hervorheben, Leitfragen-Katalog passend zum Quellentyp Rede/Karikatur/Statistik, Musterlösungs-Vergleich nach eigenem Analyseversuch, Bewertungsraster-Simulation wie eine Lehrkraft die Analyse bepunkten würde, Übungsgenerator neue Quellen mit steigendem Schwierigkeitsgrad, Fortschritts-Tracker geübte Quellentypen (ApexCharts Radial), Fachbegriff-Glossar zu Quellenkritik-Begriffen, Klausur-Simulation mit Zeitlimit wie in echten Geschichtsklausuren, GSAP Textmarkierungs-Animationen - USE CASE: Oberstufenschüler üben die in Geschichtsklausuren zentrale Methodenkompetenz der Quellenanalyse strukturiert, das Bewertungsraster macht transparent wonach Lehrkräfte bei der Punktevergabe tatsächlich suchen.\n\n80. **#480** — entwickle einen Erdkunde-Klimadiagramm-Explorer-und-Vergleichs-Tool - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Klimadiagramm-Bibliothek für Städte weltweit nach Klimazonen kategorisiert, Interaktive Karte zur Auswahl von Vergleichsstädten (Leaflet), Klimadiagramm-Generator Temperatur und Niederschlag pro Monat visualisiert (ApexCharts Combo), Klimazonen-Zuordnungs-Quiz Diagramm der richtigen Zone zuordnen, Vergleichsmodus zwei Klimadiagramme nebeneinander analysieren, Lesehilfe-Erklärung wie man ein Klimadiagramm interpretiert Schritt für Schritt, Vegetationszonen-Verknüpfung passend zur Klimazone, Aufgaben-Modus typische Klausurfragen zu vorgelegtem Klimadiagramm, Fortschritts-Tracker analysierte Klimazonen, Druckansicht Klimadiagramme als Übungsblatt, GSAP Diagramm-Zeichnungs-Animationen - USE CASE: Schüler lernen die in Erdkundeklausuren häufig geforderte Klimadiagramm-Analyse anhand echter Städtedaten praxisnah, der Vergleichsmodus verdeutlicht Unterschiede zwischen Klimazonen anschaulicher als reine Tabellenwerte im Schulbuch.\n\n## Kategorie 9: ABITUR & ABSCHLUSSPRÜFUNGS-VORBEREITUNG (10 Prompts)\n\n81. **#481** — erstelle einen Abitur-Mathe-Vorbereitungs-Trainer für NRW - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Themenblöcke Analysis/Analytische-Geometrie/Stochastik entsprechend dem NRW-Zentralabitur-Kernlehrplan, Grund-und-Leistungskurs-Umschaltung mit passendem Anforderungsniveau, Hilfsmittelfreier-und-Hilfsmittel-Teil-Simulation getrennt wie im echten Abitur, GTR-Nutzungs-Hinweise wann grafikfähiger Taschenrechner im Abitur erlaubt ist, Musteraufgaben im Stil vergangener Abiturprüfungen NRW, Bewertungsschema-Simulation Punkte-zu-Note-Umrechnung nach offiziellem Schlüssel, Themenschwerpunkt-Statistik welche Inhalte in den letzten Jahren häufig geprüft wurden (ApexCharts Balken), Schwachstellenanalyse nach Themenblock (D3.js Radar), Formelsammlung-Verknüpfung zum Mathe-Nachschlagewerk, Countdown bis zum Abiturtermin, Zeitmanagement-Simulation realistische Bearbeitungszeit pro Aufgabenteil, GSAP Themenblock-Fortschritts-Animationen - USE CASE: Abiturienten in NRW bereiten sich gezielt auf die Struktur und Themenschwerpunkte des Zentralabiturs vor, die Bewertungssimulation macht nachvollziehbar wie viele Punkte für eine bestimmte Abiturnote nötig sind.\n\n82. **#482** — entwickle einen Abitur-Deutsch-Vorbereitungs-Trainer für Bayern - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aufgabenformate Textanalyse/Erörterung/Interpretation nach bayerischem Lehrplan G9, Pflichtlektüren-Übersicht mit Kurzzusammenfassungen und zentralen Interpretationsansätzen, Schreibplan-Generator Gliederungshilfe vor dem eigentlichen Aufsatz, Musteraufsätze mit Bewertungskommentaren nach bayerischem Punkteschema, Rhetorische-Mittel-Nachschlagewerk mit Beispielen aus Pflichtlektüren, Zeitmanagement-Simulation für die reale Prüfungsdauer, Themenschwerpunkt-Historie vergangener Abiturthemen in Bayern, Selbstkorrektur-Checkliste vor Abgabe eines Übungsaufsatzes, Fortschritts-Tracker geübte Aufgabenformate (ApexCharts Radial), Wortschatz-Erweiterung anspruchsvolle Formulierungen für Interpretationen, GSAP Schreibplan-Aufbau-Animationen - USE CASE: Abiturienten in Bayern üben die spezifischen Aufgabenformate des dortigen Deutsch-Abiturs mit bayern-spezifischen Pflichtlektüren, der Schreibplan-Generator hilft unter Zeitdruck eine klare Aufsatzstruktur zu entwickeln.\n\n83. **#483** — programmiere einen Mittlere-Reife-Vorbereitungs-Trainer für Bayern - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Fachauswahl Mathematik/Deutsch/Englisch entsprechend der bayerischen Quali-und-Mittlere-Reife-Prüfungsstruktur, Aufgabenformate wie in echten Abschlussprüfungen nachgebildet, Themenschwerpunkt-Übersicht der letzten Prüfungsjahrgänge (ApexCharts Balken), Bewertungsschema-Simulation Punkte-zu-Note nach bayerischem System, Übungsklausuren mit realistischem Zeitlimit, Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Formelsammlung-und-Nachschlage-Verknüpfung während der Übung, Countdown bis zur Prüfung, Motivations-Hinweise gerade für Schüler mit Prüfungsangst vor dem ersten großen Schulabschluss, Fortschritts-Historie über mehrere Übungsdurchläufe, Elterninformations-Sektion Ablauf und Bedeutung der Mittleren Reife erklärt, GSAP Prüfungssimulations-Animationen - USE CASE: Realschüler in Bayern bereiten sich strukturiert auf ihre erste zentrale Abschlussprüfung vor, Eltern ohne eigene Erfahrung mit dem bayerischen System verstehen durch die Info-Sektion den Ablauf und die Bedeutung der Prüfung besser.\n\n84. **#484** — baue einen Hauptschulabschluss-Vorbereitungs-Trainer Deutsch-und-Mathe - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Grundlagen-orientierte Übungsaufgaben angepasst an das Anforderungsniveau des Hauptschulabschlusses, Praxisnahe-Textaufgaben Alltags-und-Berufsbezug in Mathematik, Bewerbungsschreiben-und-Lebenslauf-Übungsmodul als Zusatzbaustein zur Berufsorientierung, Lesekompetenz-Training mit alltagsnahen Texten für den Deutsch-Teil, Einfache-verständliche-Erklärungen ohne komplizierten Fachjargon, Ermutigende-Rückmeldungen bei Fehlern statt entmutigender Bewertung, Fortschritts-Tracker mit kleinen erreichbaren Etappenzielen (ApexCharts Balken), Übungsklausuren mit realistischem Zeitlimit, Schwachstellenanalyse nach Themenbereich, Elternhinweise wie zuhause unterstützt werden kann ohne Überforderung, Offline-Nutzung als PWA, GSAP Etappen-Erfolgs-Animationen - USE CASE: Hauptschüler mit teils schwierigem Zugang zu klassischen Lernformaten bereiten sich mit alltagsnahen und ermutigenden Übungen auf ihren Abschluss vor, die kleinschrittige Erfolgsdarstellung fördert Durchhaltevermögen auch bei Schülern mit bisherigen Frustrationserfahrungen in der Schule.\n\n85. **#485** — erstelle einen Notenschnitt-Rechner für das Abitur NRW - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Eingabe aller Kursnoten der Qualifikationsphase Q1 und Q2 nach NRW-Punktesystem, Automatische Berechnung der Gesamtqualifikation nach offizieller Formel Block-1-und-Block-2, Abiturprüfungsnoten-Simulation Auswirkung verschiedener Prüfungsergebnisse auf die Endnote, Zielnoten-Rechner welche Prüfungsleistung für eine gewünschte Abiturdurchschnittsnote nötig ist, Visualisierung Notenzusammensetzung nach Anteilen (ApexCharts Donut), Warnhinweis bei Unterschreitung der Mindestpunktzahl-Kriterien, Vergleichsrechnung verschiedene Szenarien nebeneinander, Fach-Gewichtung-Erklärung Leistungskurse doppelt gewichtet transparent dargestellt, Verlaufs-Speicherung mehrerer Rechendurchläufe, Export Berechnung als PDF für die eigene Übersicht, Erklär-Tutorial zum komplexen NRW-Punktesystem für Schüler und Eltern, GSAP Notenberechnungs-Animationen - USE CASE: Abiturienten in NRW verstehen frühzeitig wie sich einzelne Klausurnoten konkret auf die Abiturdurchschnittsnote auswirken, der Zielnoten-Rechner zeigt realistisch welche Prüfungsleistung für ein angestrebtes Wunschergebnis noch erreicht werden muss.\n\n86. **#486** — entwickle einen Abitur-Altklausuren-Generator für Mathe-und-Physik - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Aufgabenpool im Stil vergangener Abiturklausuren nach Themenbereich kategorisiert, Zufalls-Zusammenstellung einer vollständigen Klausur aus dem Pool, Zeitlimit exakt wie in der echten Abiturprüfung, Musterlösungen mit vollständigem Lösungsweg und Punkteverteilung, Themenhäufigkeits-Statistik über mehrere Prüfungsjahrgänge (ApexCharts Balken), Schwachstellenanalyse nach Aufgabentyp (D3.js Radar), Bewertungsschema-Simulation Punkte-zu-Note, Fortschritts-Historie über mehrere Übungsklausuren, Formelsammlung-Verknüpfung während der Bearbeitung erlaubt wie im echten Abitur, Druckansicht als vollständige Übungsklausur, Wiederholungsmodus nur bisher schwach gelöste Themen, GSAP Klausur-Zusammenstellungs-Animationen - USE CASE: Abiturienten üben unter realistischen Bedingungen mit Aufgaben die sich strukturell an echten früheren Abiturklausuren orientieren, die Themenhäufigkeits-Statistik hilft die Lernzeit auf die erfahrungsgemäß am häufigsten geprüften Inhalte zu konzentrieren.\n\n87. **#487** — programmiere einen Abitur-Englisch-Vorbereitungs-Trainer Textproduktion-und-Hörverstehen - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Aufgabenformate Comment/Analysis/Mediation nach gängigem Abitur-Anforderungsprofil, Textproduktions-Trainer mit Schreibplan-Gliederungshilfe vor dem eigentlichen Essay, Hörverstehen-Modul mit Audio-Wiedergabe und Verständnisfragen, Wortschatz-Bausteine für Analyse und Argumentation auf Abitur-Niveau, Musteraufsätze mit Bewertungskommentaren nach Punkteschema, Zeitmanagement-Simulation für die reale Prüfungsdauer, Themenschwerpunkte historisch behandelter Abiturthemen als Orientierung, Selbstkorrektur-Checkliste Grammatik und Struktur vor Abgabe, Fortschritts-Tracker geübte Aufgabenformate (ApexCharts Radial), Mediation-Übungen Deutsch-Englisch-Transferaufgaben, GSAP Essay-Struktur-Animationen - USE CASE: Abiturienten üben die anspruchsvollen Textproduktions- und Mediationsaufgaben des Englisch-Abiturs praxisnah, das separate Hörverstehen-Modul bereitet gezielt auf den oft unterschätzten Hörverstehensteil vor.\n\n88. **#488** — baue einen Abitur-Latein-Vorbereitungs-Trainer Übersetzung-und-Interpretation - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Textkorpus klassischer Abitur-Autoren Cicero/Ovid/Caesar mit steigendem Schwierigkeitsgrad, Übersetzungs-Editor mit Wort-für-Wort-Hilfe optional einblendbar, Interpretations-Leitfragen-Katalog passend zum Textabschnitt, Grammatik-Wiederholungs-Module zu Konstruktionen die im Abitur häufig vorkommen, Klausur-Simulation mit Zeitlimit und Punkteverteilung nach echtem Bewertungsschema, Stilmittel-Nachschlagewerk mit Beispielen aus den Prüfungsautoren, Vokabel-Wiederholung aus bereits bearbeiteten Prüfungstexten verknüpft mit dem Latein-Vokabeltrainer, Fortschritts-Historie über mehrere Übungstexte (ApexCharts Balken), Kulturhistorischer-Kontext zu jedem Autor kompakt erklärt, Countdown bis zur Abiturprüfung, GSAP Text-Interpretations-Animationen - USE CASE: Lateinschüler im Abitur üben mit Originaltexten der tatsächlich im Lehrplan verankerten Prüfungsautoren, die Verknüpfung zum Vokabeltrainer schließt gezielt Wortschatzlücken die bei Übersetzungen im Abitur häufig zu Punktabzug führen.\n\n89. **#489** — erstelle ein Bundesland-Vergleichs-Tool für Abitur-Anforderungen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vergleichsübersicht Abitur-Struktur nach Bundesland NRW/Bayern/Baden-Württemberg/weitere, Fach-und-Prüfungsformat-Unterschiede tabellarisch gegenübergestellt, Punktesystem-Vergleich wie sich Noten zwischen den Bundesländern unterscheiden, G8-vs-G9-Erklärung mit Auswirkung auf die Vorbereitungszeit, Umzugs-Ratgeber-Sektion was bei Schulwechsel zwischen Bundesländern während der Oberstufe zu beachten ist, Zentralabitur-vs-dezentrales-Abitur-Erklärung welche Bundesländer welches System nutzen, Themenschwerpunkt-Unterschiede pro Bundesland bei gleichem Fach, Interaktive Deutschlandkarte zur Auswahl des Bundeslands (D3.js), Quellenverweis-Hinweis auf offizielle Kultusministerkonferenz-Regelungen, Suchfunktion nach spezifischer Fragestellung, Export Vergleichsübersicht als PDF, GSAP Bundesland-Auswahl-Animationen - USE CASE: Familien die während der Oberstufe umziehen verstehen welche Unterschiede im Abitursystem des neuen Bundeslands auf ihr Kind zukommen, Nachhilfelehrer die bundeslandübergreifend unterrichten behalten die unterschiedlichen Anforderungsprofile im Blick.\n\n90. **#490** — entwickle einen Abschlussprüfungs-Angst-und-Zeitmanagement-Coach für Abiturienten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Countdown-Übersicht bis zu allen Abiturprüfungsterminen mit verbleibenden Vorbereitungstagen pro Fach, Realistischer-Lernplan-Generator unter Berücksichtigung mehrerer paralleler Abiturfächer, Prüfungsangst-Übungen speziell für die besondere Drucksituation des Abiturs, Zeitmanagement-Simulator wie die Bearbeitungszeit in echten Abiturklausuren typischerweise sinnvoll aufgeteilt wird, Erfahrungsberichte-Sektion-Mockup wie andere Abiturienten die Belastung bewältigt haben, Pausenrhythmus-Empfehlung während der intensiven Vorbereitungsphase, Stimmungs-Tracker über die gesamte Abiturzeit hinweg (ApexCharts Linie), Motivations-Erinnerungen an bereits erreichte Etappen der Schullaufbahn, Elterninfo-Sektion wie in dieser besonders belastenden Phase unterstützt werden kann, Notfall-Kontakt-Hinweis bei ernsthafter Überforderung professionelle Beratungsstellen, Offline-Nutzung ohne Internet, GSAP Countdown-und-Beruhigungs-Animationen - USE CASE: Abiturienten in der besonders belastenden Prüfungsphase mit mehreren Klausuren in kurzer Zeit organisieren Vorbereitung und mentale Balance gemeinsam, der Notfall-Kontakt-Hinweis stellt sicher dass bei echter Überforderung auf professionelle Hilfe statt nur auf die App verwiesen wird.\n\n## Kategorie 10: GAMIFIZIERTE LERN-APPS FÜR JÜNGERE SCHÜLER (10 Prompts)\n\n91. **#491** — erstelle einen Einmaleins-Trainer im Spiel-Format für die Grundschule - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Große kindgerechte Zahlen-Buttons statt kleiner Bedienelemente, Einmaleins-Reihen 1er bis 10er einzeln oder gemischt übbar, Spielfigur-Fortschritt läuft über einen bunten Lernpfad bei richtigen Antworten, Sofortiges freundliches Feedback mit Symbolen statt Textfehlermeldungen, Sternesammlung pro gemeisterter Einmaleins-Reihe, Zeitloser-Übungsmodus ohne Druck für unsichere Kinder, Wettrenn-Modus mit Zeitmessung für sicherere Kinder optional, Elternansicht Fortschritt pro Reihe (ApexCharts Balken), Wiederholungs-Erinnerung für noch unsichere Reihen, Bildschirmzeit-Hinweis eingebaute freundliche Erinnerung nach 15-20 Minuten eine Pause zu machen, Keine Werbung und keine In-App-Käufe, GSAP Spielfigur-Lauf-Animationen - USE CASE: Grundschulkinder üben das Einmaleins spielerisch ohne den Druck einer klassischen Abfrage-Situation, Eltern sehen anhand der Elternansicht objektiv welche Reihen noch mehr Übung brauchen.\n\n92. **#492** — entwickle ein Rechtschreib-Spiel Diktat-Abenteuer für die Grundschule - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Abenteuer-Rahmenhandlung kindgerechte Geschichte mit Rechtschreib-Aufgaben als Etappen, Wortlisten nach Klassenstufe 1-4 mit steigendem Schwierigkeitsgrad, Vorlese-Funktion Wörter werden deutlich vorgesprochen, Buchstabier-Hilfe bei besonders schwierigen Wörtern, Freundliches-Feedback bei Fehlern ohne entmutigende Sprache, Fortschritts-Karte durch die Abenteuerwelt visualisiert (D3.js), Sammelobjekte als Belohnung für gemeisterte Wortlisten, Elternansicht welche Wortgruppen noch Übung brauchen (ApexCharts Balken), Wiederholungsmodus für schwierige Wörter eingebettet in die Geschichte, Bildschirmzeit-bewusstes Design mit eingebauten Pausenerinnerungen, Große kindgerechte Schrift und Bedienelemente, GSAP Abenteuer-Szenenwechsel-Animationen - USE CASE: Grundschulkinder üben Rechtschreibung eingebettet in eine motivierende Geschichte statt trockener Diktat-Wiederholung, die freundliche Fehler-Rückmeldung baut keine Versagensängste vor Diktaten auf.\n\n93. **#493** — programmiere eine Lese-Abenteuer-App für Leseverständnis in der Grundschule - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kurze altersgerechte Geschichten mit großer Schrift und Bild-Illustration-Platzhaltern, Verständnisfragen nach jedem Kapitel mit Multiple-Choice kindgerecht formuliert, Vorlese-Funktion für noch unsichere Leser als Unterstützung, Lesetempo-Anpassung eigenes Tempo ohne Zeitdruck, Fortschritts-Bibliothek gelesene Geschichten als bunte Bücherregal-Ansicht, Wortschatz-Erklärungen bei Klick auf unbekannte Wörter, Belohnungs-System neue Geschichten werden nach Abschluss freigeschaltet, Elternansicht Leseverständnis-Entwicklung über Zeit (ApexCharts Linie), Themenvielfalt Abenteuer/Tiere/Freundschaft altersgerecht ausgewählt, Bildschirmzeit-bewusste Sitzungslänge mit sanfter Erinnerung, Keine Werbung und kein Kaufdruck, GSAP Buch-Aufschlag-Animationen - USE CASE: Grundschulkinder trainieren Leseverständnis mit motivierenden altersgerechten Geschichten statt reiner Lehrbuchtexte, die Vorlese-Funktion unterstützt gerade leseschwächere Kinder ohne sie vom eigenständigen Üben auszuschließen.\n\n94. **#494** — baue ein Zahlenraum-Rechenspiel für die Grundschule ZR-20-100-1000 - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zahlenraum-Auswahl 20/100/1000 passend zur Klassenstufe, Rechenoperationen Plus/Minus/später Mal/Geteilt schrittweise freigeschaltet, Bunte-Rechenhilfen visuelle Zehnerstangen und Hunderterfeld zur Veranschaulichung (D3.js), Spielerische-Verpackung Rechenaufgaben als Teil eines bunten Sammelspiels, Sofortiges kindgerechtes Feedback mit Symbolen, Schwierigkeitsgrad-Anpassung automatisch nach Erfolgsquote, Fortschritts-Sterne pro Zahlenraum-Stufe, Elternansicht Rechenfehler-Muster erkennen z.B. Zehnerübergang-Schwierigkeiten (ApexCharts Balken), Übungszeit-Empfehlung kurze Einheiten statt langer Sitzungen, Bildschirmzeit-bewusste Sitzungsbegrenzung mit freundlicher Erinnerung, Große Zahlen-Buttons für kleine Kinderhände, GSAP Zahlen-Sammel-Animationen - USE CASE: Grundschulkinder festigen Kopfrechnen im jeweils relevanten Zahlenraum mit visueller Unterstützung durch Zehnerstangen, die Elternansicht macht spezifische Schwierigkeiten wie Zehnerübergänge sichtbar für gezielte zusätzliche Übung.\n\n95. **#495** — erstelle eine Buchstaben-Lern-App für Erstklässler - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Buchstaben-Einführung einzeln mit großformatiger Darstellung Groß-und-Kleinbuchstabe, Nachspur-Übung Buchstabenform mit dem Finger oder der Maus nachfahren, Lautzuordnung Buchstabe mit passendem Anlaut-Bild verknüpft, Einfache-Wort-Bildung erste kurze Wörter aus gelernten Buchstaben zusammensetzen, Fortschritts-Alphabet farbig markiert welche Buchstaben bereits gelernt wurden, Wiederholungsspiel bereits gelernte Buchstaben in Erinnerung halten, Elternansicht Lernfortschritt durchs Alphabet (ApexCharts Radial), Sehr einfache Bedienung nur Antippen keine komplexen Gesten nötig, Freundliche Sprachausgabe zur Unterstützung noch nicht lesender Kinder, Kurze Sitzungslänge kindgerecht mit automatischer Pausenerinnerung, Fröhliches aber ruhiges Farbdesign ohne Reizüberflutung, GSAP Buchstaben-Nachspur-Animationen - USE CASE: Erstklässler und Vorschulkinder lernen das Alphabet spielerisch mit Bild- und Lautunterstützung, die sehr einfache Bedienung macht die App auch für Kinder nutzbar die noch nicht selbstständig lesen können.\n\n96. **#496** — entwickle ein Sachunterricht-Quiz-Abenteuer für die Grundschule - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Themenwelten Tiere/Jahreszeiten/Verkehrssicherheit/Körper nach Sachunterricht-Lehrplan, Bild-basierte Quizfragen mit großen kindgerechten Illustrationen, Entdecker-Karte durch die verschiedenen Themenwelten (D3.js), Freundliches-Feedback mit ermutigenden Symbolen bei jeder Antwort, Sammelkarten-Belohnung zu gelernten Themen, Elternansicht Themen-Fortschritt (ApexCharts Radial), Wiederholungsspiel bereits behandelter Themen in neuer Reihenfolge, Vorlese-Funktion für noch nicht sicher lesende Kinder, Kurze Quiz-Runden von wenigen Minuten statt langer Sitzungen, Bildschirmzeit-bewusste automatische Pausenerinnerung, Keine Werbung und kein Kaufdruck im gesamten Spiel, GSAP Themenwelt-Übergangs-Animationen - USE CASE: Grundschulkinder festigen Sachunterrichts-Wissen aus dem Schulalltag spielerisch zuhause, die Themenwelten orientieren sich direkt an typischen Sachunterrichts-Einheiten und ergänzen damit den Unterricht sinnvoll statt ihn zu ersetzen.\n\n97. **#497** — programmiere ein Kopfrechnen-Duell-Spiel für die Unterstufe - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Zwei-Spieler-Modus am selben Gerät für Geschwister oder Klassenkameraden ohne Klarnamen nur Spielernamen frei wählbar, Rechenoperationen nach Klassenstufe anpassbar Plus/Minus/Einmaleins/Geteilt, Zeitlimit pro Runde mit Countdown-Anzeige, Punktestand-Anzeige live während des Duells, Schwierigkeitsgrad-Synchronisierung beide Spieler bekommen gleich schwere Aufgaben für Fairness, Einzelspieler-Modus gegen die eigene Bestzeit als Alternative, Rundenstatistik wer wie viele Aufgaben richtig hatte (ApexCharts Balken), Fair-Play-Hinweise gegenseitige Ermutigung statt Bloßstellung bei Fehlern, Highscore-Liste eigene Bestzeiten über mehrere Sitzungen, Kindgerechtes fröhliches Design, GSAP Duell-Punktestand-Animationen - USE CASE: Geschwister oder Freunde üben Kopfrechnen gemeinsam in einem motivierenden aber fairen Wettbewerbsformat, der Einzelspieler-Modus bietet eine druckfreie Alternative für Kinder die sich nicht mit anderen messen möchten.\n\n98. **#498** — baue ein Belohnungs-Abzeichen-System für Grundschul-Lernapps übergreifend - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale Abzeichen-Galerie die Fortschritte aus verschiedenen Lernbereichen Mathe/Lesen/Schreiben/Sachunterricht zusammenführt, Freischalt-Bedingungen pro Abzeichen klar und kindgerecht erklärt, Fortschrittsbalken zum nächsten Abzeichen sichtbar als Motivation, Sammelalbum-Ansicht wie ein digitales Stickerheft, Eltern-Konfiguration welche Belohnungen mit welchen Abzeichen verknüpft sind, Wochenrückblick gesammelte Abzeichen der Woche als kleine Feier, Fairness-Prinzip Abzeichen für Anstrengung und Übung nicht nur für Bestleistung, Statistik-Ansicht für Eltern welche Bereiche am meisten geübt wurden (ApexCharts Balken), Keine Vergleichs-Rangliste mit anderen Kindern bewusst weggelassen, Buntes aber übersichtliches kindgerechtes Design, Offline-Nutzung als PWA, GSAP Abzeichen-Freischalt-Konfetti-Animationen - USE CASE: Familien mit mehreren genutzten Lern-Apps bündeln die Motivation in einem gemeinsamen Belohnungssystem statt verstreuter Einzel-Erfolge, das bewusste Weglassen von Vergleichs-Ranglisten schützt jüngere Kinder vor unnötigem Leistungsdruck.\n\n99. **#499** — erstelle ein Uhrzeit-Lernen-Spiel für die Grundschule - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktive analoge Uhr mit verschiebbaren Zeigern zum Einstellen vorgegebener Uhrzeiten, Digital-zu-analog-Zuordnungsspiel beide Darstellungsformen verknüpfen, Alltagssituationen-Aufgaben Schulbeginn/Mittagessen/Schlafenszeit mit passender Uhrzeit verbinden, Schwierigkeitsstufen volle-Stunde/halbe-Stunde/Minutengenau nach Klassenstufe, Sofortiges freundliches Feedback bei richtiger oder falscher Einstellung, Fortschritts-Sterne pro gemeisterter Schwierigkeitsstufe, Elternansicht welche Uhrzeit-Konzepte noch unsicher sind (ApexCharts Balken), Wiederholungsspiel für noch nicht gefestigte Zeitangaben, Kurze Übungseinheiten mit eingebauter Pausenerinnerung, Große kindgerechte Bedienelemente für die Zeiger-Verschiebung, Fröhliches ruhiges Farbdesign, GSAP Uhrzeiger-Bewegungs-Animationen - USE CASE: Grundschulkinder lernen das oft schwierige Konzept der Uhrzeit anhand konkreter Alltagssituationen statt abstrakter Zifferblätter, die Verknüpfung von analoger und digitaler Darstellung schließt eine häufige Verständnislücke zwischen beiden Anzeigeformen.\n\n100. **#500** — entwickle ein Grundschul-Lern-Dashboard mit bewusster Bildschirmzeit-Kontrolle - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zentrale Startseite die zu verschiedenen Grundschul-Lernspielen Einmaleins/Rechtschreibung/Lesen/Uhrzeit führt, Eltern-Zeitfenster-Konfiguration wann und wie lange die Lernapps am Tag genutzt werden dürfen, Sanfte Sitzungsende-Erinnerung statt abruptem Abbruch mit Countdown-Vorwarnung, Gesamtübersicht genutzter Lernzeit pro Bereich für Eltern (ApexCharts Balken), Ausgewogenheits-Hinweis wenn ein Bereich stark vernachlässigt wird, Kindgerechte-Symbol-Navigation ohne Lesekompetenz-Voraussetzung, Wochenrückblick als gemeinsames Eltern-Kind-Ritual, Keine Weiterleitung zu externen Inhalten oder Werbung komplett geschlossenes System, Datenschutz-Hinweis alle Daten bleiben ausschließlich lokal auf dem Familiengerät, Mehrkind-Profile mit getrennten Zeitfenstern und Fortschritten, Offline-Nutzung als installierbare PWA für den ganzen Lernspiele-Verbund, GSAP Dashboard-Kachel-Animationen - USE CASE: Eltern von Grundschulkindern behalten über ein zentrales Dashboard die Kontrolle über Bildschirmzeit und Lerninhalte statt einzelne Apps separat verwalten zu müssen, die geschlossene werbefreie Systemarchitektur schützt jüngere Kinder vor unerwünschten externen Inhalten.\n\n=== ENDE ===\n\n## Hinweis\nDieser Batch ist an reale wiederkehrende Projektmuster aus dem eigenen HTML-MD-EXPORT-Archiv angelehnt, insbesondere: NACHHILFE (enthält u.a. \"Formelsammlung to go\" und \"5-Sprachen-Grammatik kompakt\", Vorlage für Kategorie 2 und 3), joojo (\"109 Übungstests fürs Gymnasium NRW – Eltern-/Schülerhandbuch\", direkte Vorlage für #408 und den NRW-Fokus in Kategorie 1 und 9), latina-v-klausur-trainer-ios-css-neu (Latein-Klausurtrainer, Vorlage für #404 und #488), sowie PWA-HISTORY-NACHHILFE und pwa-history (Geschichts-Nachhilfe-PWAs, Vorlage für #473 und #479). Alle 100 Prompts sind zusätzlich an konkreten deutschen Lehrplan- und Prüfungsdetails geerdet (NRW-Zentralabitur/ZP10, bayerisches G9-Abitur und Quali/Mittlere Reife, gängige Lehrwerk-Strukturen in Fremdsprachen, Kernlehrplan-Kompetenzbereiche) und durchgängig datenschutzbewusst für eine minderjährige Zielgruppe konzipiert: keine Klarnamen-Pflicht, keine Fotos von Kindern, keine Werbung oder Kaufanreize in Grundschul-Apps, alle Daten lokal in LocalStorage/IndexedDB statt Cloud-Erhebung.\n",
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        "title": "100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)",
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        "overview": "--- project: 100-stack-complex-html5-app-prompts category: Prompt-Bibliothek cluster: Cross-Sektor / Restlicher Stack tier: 1 rebuild_grade: N/A tech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker] status: production-ready tags: [prompts, batch-generation, html5, frontend-only, ai-agents, trading, dev-tools, news, travel, sports, media, business, portals] --- # 100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2) ## Overview Ergänzung zu 100-DVAG-COMPLEX-HTML5-APP-PROMPTS: Batch 2 (#101-#200) deckt die übrigen Sektoren aus dem HTML-MD-EXPORT-Korpus ab, die im DVAG-Batch nicht vorkommen — AI-Agenten/Chatbots, Trading/Quant-Terminals, Finanz-Pitch/Strategie, Dev-Tools/Lernplattformen, News/OSINT, Reise/Outdoor, Sport/Sammler, Media/Games/Entertainment, Business-/Persönliche Produktivität, Mul",
        "content": "---\nproject: 100-stack-complex-html5-app-prompts\ncategory: Prompt-Bibliothek\ncluster: Cross-Sektor / Restlicher Stack\ntier: 1\nrebuild_grade: N/A\ntech_stack: [Bootstrap 5, Tailwind CSS, Materialize CSS, Bulma, Skeleton, Alpine.js, ApexCharts, D3.js, GSAP, LocalStorage, IndexedDB, ServiceWorker]\nstatus: production-ready\ntags: [prompts, batch-generation, html5, frontend-only, ai-agents, trading, dev-tools, news, travel, sports, media, business, portals]\n---\n\n# 100 Stack-weite Komplexe HTML5 App-Prompts (Batch 2)\n\n## Overview\nErgänzung zu 100-DVAG-COMPLEX-HTML5-APP-PROMPTS: Batch 2 (#101-#200) deckt die übrigen Sektoren aus dem HTML-MD-EXPORT-Korpus ab, die im DVAG-Batch nicht vorkommen — AI-Agenten/Chatbots, Trading/Quant-Terminals, Finanz-Pitch/Strategie, Dev-Tools/Lernplattformen, News/OSINT, Reise/Outdoor, Sport/Sammler, Media/Games/Entertainment, Business-/Persönliche Produktivität, Multi-App-Portale/Dashboards. Gegründet auf reale Muster aus der HTML-MD-EXPORT-Analyse (siehe SECURITY-FINDINGS.md für die dort dokumentierten Negativbeispiele, auf die einzelne Prompts bewusst verweisen).\n\n## Ziel-Komplexität\n- 150+ KB Dateigröße\n- 2500+ Zeilen Code\n- 250+ Components\n- 8+ GSAP-Animationen\n- Complexity Score 60+\n- Mobile-First Responsive, Frontend-Only (keine E-Books)\n- Bootstrap 5 / Tailwind / Materialize / Bulma / Skeleton + Alpine.js + ApexCharts + D3.js + GSAP + LocalStorage/IndexedDB\n\n## Kategorie 1: AI-AGENTEN, CHATBOTS & LLM-TOOLS\n\n101. **#101** — erstelle einen Multi-Model-AI-Chat-Hub Provider-Switch - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Modell-Umschalter GPT-4o/Claude/Mistral/Gemini mit Live-Kostenanzeige pro 1K Tokens, Streaming-Antworten mit Typewriter-Effekt, Konversations-Threads mit Umbenennen/Archivieren, System-Prompt-Editor mit Presets, Token-Verbrauchs-Chart pro Session (ApexCharts Area), Konversations-Export Markdown/JSON, Wissensdatenbank-Upload PDF/TXT mit Chunk-Preview (D3.js Baumdiagramm), Antwort-Vergleich Side-by-Side zwei Modelle gleichzeitig, Rate-Limit-Warnanzeige, Prompt-Bibliothek mit Kategorien, Dark/Light Mode, GSAP Message-Bubble-Animationen - USE CASE: Entwickler vergleichen Modell-Antworten und Kosten vor Produktiv-Einsatz, Power-User verwalten mehrere parallele Recherche-Threads mit Wissensbasis. WICHTIG: nutzt ausschließlich einen serverseitigen Proxy-Endpunkt für API-Calls, niemals Provider-Keys im Client-Code (siehe SECURITY-FINDINGS.md im Stack für Negativ-Beispiele).\n\n102. **#102** — entwickle eine AI-Code-Pair-Programming-Workbench - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Split-View Editor+Chat mit Syntax-Highlighting (CodeMirror-Style), Diff-Viewer vor/nach KI-Vorschlag farbcodiert, Snippet-Bibliothek mit Tag-Suche, Sprachauswahl JS/Python/HTML/SQL, Inline-Erklärungs-Popover pro Codezeile, Test-Ausführungs-Mock mit Pass/Fail-Anzeige, Refactoring-Vorschläge als Kartenliste, Commit-Message-Generator aus Diff, Code-Komplexitäts-Score-Anzeige (ApexCharts Radial), Session-History mit Wiederherstellen, Keyboard-Shortcuts-Cheatsheet Overlay, GSAP Diff-Highlight-Animationen - USE CASE: Entwickler nutzen die App als Sandbox für KI-unterstütztes Pairing ohne IDE-Installation, Teams dokumentieren KI-Vorschläge nachvollziehbar für Code-Reviews.\n\n103. **#103** — programmiere ein Prompt-Engineering-Batch-Generator-Studio - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Prompt-Template-Editor mit Variablen-Platzhaltern {{variable}}, CSV-Import für Batch-Variablen mit Vorschau-Tabelle, Batch-Queue-Manager mit Fortschrittsbalken pro Job, Kosten-Schätzer vor Ausführung nach Modell/Tokenanzahl (ApexCharts Balken), Ergebnis-Diff zwischen Prompt-Varianten A/B-Test, Export aller Ergebnisse als CSV/JSON, Retry-Logik-Visualizer bei Fehlern, Template-Versionierung mit Rollback, Rate-Limit-Scheduler Verzögerung zwischen Calls, Duplikat-Erkennung ähnlicher Prompts (D3.js Ähnlichkeits-Cluster), GSAP Queue-Progress-Animationen - USE CASE: Content-Teams generieren hunderte Produktbeschreibungen aus einer Vorlage batch-weise, QA-Teams testen Prompt-Varianten systematisch vor Rollout.\n\n104. **#104** — baue einen Retrieval-Augmented-Chatbot-Builder mit Wissensdatenbank - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokumenten-Upload-Zone mit Chunking-Strategie-Auswahl Größe/Overlap, Chunk-Preview-Liste durchsuchbar, Embedding-Fortschritt-Visualizer (ApexCharts Progress), Ähnlichkeitssuche-Tester mit Top-K-Ergebnissen und Score, Citation-Anzeige im Chat mit Quellenverweis-Badges, Wissensbasis-Statistiken Dokumente/Chunks/Größe (D3.js Donut), Reindexierungs-Button bei Dokumentänderung, Antwort-Grounding-Score wie viel aus Kontext vs Modell-Wissen, Konflikt-Erkennung widersprüchliche Quellen, Mehrsprachigkeits-Support Auto-Detect, Export Wissensbasis als JSON, GSAP Chunk-Highlight-Animationen - USE CASE: Support-Teams bauen firmeninternes Q&A-System über eigene Dokumentation, Berater erstellen kundenspezifische Wissens-Chatbots ohne Backend-Entwicklung.\n\n105. **#105** — erstelle ein AI-Voice-Assistant-Interface Mockup - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Mikrofon-Aktivitäts-Visualizer Waveform Live (D3.js Canvas), Speech-to-Text-Transkript-Anzeige mit Zwischenspeicherung, Text-to-Speech-Playback-Steuerung Geschwindigkeit/Stimme, Wakeword-Simulation mit Trigger-Historie, Konversations-Verlauf als Chat-Bubbles mit Audio-Replay-Button, Intent-Erkennungs-Debug-Panel zeigt erkannte Absicht, Befehls-Bibliothek häufige Sprachbefehle als Karten, Latenz-Anzeige Antwortzeit (ApexCharts Sparkline), Offline-Fallback-Hinweis, Mehrsprachigkeit Umschalter DE/EN, Barrierefreiheits-Modus große Schrift, GSAP Waveform-Puls-Animationen - USE CASE: Produktteams demonstrieren Voice-UI-Konzepte ohne echte Spracherkennungs-Integration, Entwickler testen Konversationsabläufe visuell vor Backend-Anbindung.\n\n106. **#106** — entwickle ein Multi-Agent-Orchestrator-Dashboard - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Agenten-Rollen-Übersicht Planner/Researcher/Coder/Reviewer als Karten, Task-Queue-Visualizer mit Status Pending/Running/Done/Failed (D3.js Kanban), Agent-zu-Agent-Kommunikations-Log chronologisch, Function-Calling-Protokoll mit Input/Output pro Aufruf, Abhängigkeits-Graph zwischen Tasks (D3.js Force-Directed), Kosten- & Latenz-Aggregation pro Agent (ApexCharts Stacked Bar), Fehler-Eskalations-Anzeige bei Agent-Blockade, Manuelle Eingriffs-Möglichkeit Task pausieren/überspringen, Ausführungs-Timeline Gantt-Ansicht, Agent-Konfigurations-Editor Rolle/System-Prompt/Tools, Export vollständiger Run-Protokolle, GSAP Task-Status-Übergangs-Animationen - USE CASE: Entwickler debuggen komplexe Multi-Agent-Workflows visuell statt in Log-Dateien, Teams zeigen Stakeholdern nachvollziehbar wie ein Agenten-System zu einem Ergebnis kam.\n\n107. **#107** — programmiere einen AI-Übersetzer & Sprachlern-Assistenten - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sofort-Übersetzung Multi-Language mit Aussprache-Audio-Button, Vokabeltrainer mit Spaced-Repetition-Algorithmus SRS, Flashcard-Stapel nach Themen, Fortschritts-Statistik gelernte/fällige Wörter (ApexCharts Kalender-Heatmap), Satzbau-Analyse mit Grammatik-Hervorhebung, Konjugations-/Deklinations-Tabellen-Generator, Hör-Verstehen-Modus mit Lückentext, Aussprache-Bewertung Mock-Score, Lernstreak-Tracker mit Gamification-Badges, Themen-Wortschatzlisten Reise/Business/Alltag, Offline-Wortschatz-Cache, GSAP Karten-Flip-Animationen - USE CASE: Sprachlerner üben täglich mit personalisiertem Wiederholungssystem, Reisende nutzen die App als Offline-Phrasebuch mit Ausspracheunterstützung.\n\n108. **#108** — baue einen KI-gestützten CRM-Copilot für Vertrieb - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Lead-Scoring-Liste mit KI-Begründung pro Score (ApexCharts Balken), E-Mail-Entwurf-Generator basierend auf Kontakt-Historie, Meeting-Zusammenfassungs-Generator aus Notizen-Stichpunkten, Next-Best-Action-Vorschläge pro Kontakt, Einwand-Behandlungs-Bibliothek durchsuchbar, Vertriebs-Pipeline-Kanban mit Drag&Drop, Gesprächsleitfaden-Generator nach Kundentyp, Sentiment-Anzeige aus E-Mail-Verlauf, Follow-Up-Erinnerungs-Kalender, Deal-Wahrscheinlichkeits-Anzeige (D3.js Gauge), Team-Aktivitäts-Feed, GSAP Karten-Übergangs-Animationen - USE CASE: Vertriebsmitarbeiter priorisieren Leads datenbasiert statt nach Bauchgefühl, Sales-Teams standardisieren Kommunikation mit KI-Unterstützung ohne CRM-Systemwechsel.\n\n109. **#109** — erstelle ein AI-Content-Moderation & Sicherheits-Dashboard - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Prompt-Injection-Detector-Log mit Risiko-Score pro Eingabe, Halluzinations-Warnsystem markiert unsichere Aussagen, Kosten-Monitor pro Modell/Team/Tag (ApexCharts Stacked Area), Rate-Limit-Verstoß-Historie, Content-Filter-Regeln-Editor Blocklist/Allowlist, Jailbreak-Versuch-Erkennungs-Log, PII-Erkennung in Nutzereingaben Warnhinweis, Audit-Trail aller Moderations-Entscheidungen, Modell-Vergleich Sicherheits-Score, Incident-Response-Checkliste bei Vorfall, Compliance-Export für Audits, GSAP Alert-Puls-Animationen - USE CASE: Plattform-Betreiber überwachen KI-Feature-Nutzung auf Missbrauch und Kosten, Compliance-Teams dokumentieren Sicherheitsmaßnahmen für Audits nachvollziehbar.\n\n110. **#110** — entwickle einen Personal-AI-Knowledge-Assistant Second-Brain - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Notiz-Import Markdown/TXT mit Auto-Tagging via Keyword-Extraktion, Frage-Antwort-Interface über eigene Notizen mit Quellenverweis, Wissensgraph-Ansicht Verknüpfungen zwischen Notizen (D3.js Force-Directed Graph), Tägliche Review-Erinnerung wichtige Notizen, Volltextsuche mit Fuzzy-Matching, Themen-Cluster automatisch erkannt, Zeitleisten-Ansicht Notizen chronologisch, Backlink-Anzeige pro Notiz, Export als strukturiertes PDF, Duplikat-Erkennung ähnlicher Notizen, Lesezeit-Schätzung pro Sammlung, GSAP Graph-Node-Animationen - USE CASE: Wissensarbeiter bauen ein durchsuchbares persönliches Archiv aus Jahren an Notizen auf, Recherche-Teams finden Verbindungen zwischen Themen die sonst verborgen blieben.\n\n## Kategorie 2: TRADING & QUANT-TERMINALS\n\n111. **#111** — erstelle ein Multi-Timeframe-RSI-Momentum-Scanner-Terminal - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: RSI-Berechnung 14/9/21-Perioden gleichzeitig über Timeframes 1H/4H/1D, Watchlist mit Live-Ampel überkauft/überverkauft/neutral, Divergenz-Erkennung Kurs vs RSI automatisch markiert (D3.js Overlay), Multi-Asset-Grid Aktien/Krypto/Forex parallel, Alert-Konfigurator Schwellenwert-basiert, Candlestick-Chart mit RSI-Subplot (ApexCharts Combo), Backtesting-Mini-Modul Trefferquote historisch, Export gefilterter Signale als CSV, Farbcodierte Heatmap-Übersicht Sektoren (D3.js Treemap), Positionsgrößen-Rechner integriert, GSAP Signal-Aufblink-Animationen - USE CASE: Trader scannen dutzende Assets gleichzeitig auf Einstiegssignale ohne mehrere Tabs, Einsteiger lernen RSI-Divergenzen visuell zu erkennen.\n\n112. **#112** — entwickle einen Markov-Chain-Kursprognose-Simulator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zustandsübergangs-Matrix-Editor Auf/Seitwärts/Ab-Wahrscheinlichkeiten, Monte-Carlo-Simulation 1000 Pfade (D3.js Fächer-Diagramm), Historische Kalibrierung aus eingegebenen Kursdaten, Konfidenzintervall-Band um Median-Pfad (ApexCharts Range Area), Zustandsverweildauer-Analyse durchschnittliche Tage pro Regime, Regime-Wechsel-Wahrscheinlichkeits-Heatmap, Vergleich Simuliert vs Tatsächlich Backtesting-Ansicht, Sensitivitäts-Analyse bei Matrix-Änderung Live-Update, Export Simulationsergebnisse CSV, Wahrscheinlichkeits-Baum-Visualisierung 3 Schritte voraus (D3.js Tree), GSAP Pfad-Zeichnungs-Animationen - USE CASE: Quant-affine Trader visualisieren stochastische Kursmodelle statt reiner Chartanalyse, Lernende verstehen Markov-Ketten anhand echter Marktdaten praktisch.\n\n113. **#113** — programmiere einen Options-Pricing & Griechen-Rechner Professional - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Black-Scholes-Rechner Call/Put mit allen Eingabeparametern, Griechen-Dashboard Delta/Gamma/Theta/Vega/Rho mit Erklär-Tooltips, Payoff-Diagramm bei Verfall (ApexCharts Line), Implizite-Volatilität-Solver aus Marktpreis, Volatility-Smile-Visualizer über Strikes (D3.js Kurve), Zeit-Zerfall-Simulator Theta über verbleibende Laufzeit, Strategie-Baukasten Straddle/Strangle/Spread mit kombiniertem Payoff, Sensitivitäts-Slider Live-Neuberechnung bei Parameter-Änderung, Break-Even-Punkt-Anzeige, Vergleich amerikanische vs europäische Optionen, Historische-Volatilität-Rechner aus Kursreihe, GSAP Payoff-Kurven-Animationen - USE CASE: Optionshändler kalkulieren Strategien vor Orderaufgabe ohne Broker-Tool, Studierende lernen Optionsbewertung anhand interaktiver Griechen-Visualisierung.\n\n114. **#114** — baue einen Breakout-Scanner mit Pivot-Punkten Multi-Asset - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Pivot-Punkt-Berechnung Standard/Fibonacci/Camarilla, Support-/Resistance-Level-Overlay auf Chart (ApexCharts Annotations), Breakout-Alert bei Level-Durchbruch mit Volumen-Bestätigung, Multi-Asset-Watchlist DAX/Dow/Nasdaq/Krypto parallel, Konsolidierungs-Erkennung enge Range vor Ausbruch, False-Breakout-Filter Mindest-Volumen-Schwelle, Historische Trefferquote pro Level-Typ (ApexCharts Balken), Zeitzonen-Anzeige für internationale Märkte, Volumen-Profil-Overlay (D3.js), Screenshot-Export für Trading-Journal, Sound-Alert-Simulation bei Trigger, GSAP Level-Break-Highlight-Animationen - USE CASE: Daytrader überwachen mehrere Märkte auf Ausbruchssignale gleichzeitig, Swing-Trader planen Einstiege anhand historisch verlässlicher Pivot-Level.\n\n115. **#115** — erstelle einen Crypto-Portfolio-Tracker mit Risiko-Heatmap - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Holdings-Verwaltung BTC/ETH/Altcoins mit manueller Preis-Eingabe (Mock statt Live-API), Allokations-Donut nach Coin und nach Kategorie L1/DeFi/Meme (ApexCharts), Korrelations-Heatmap zwischen Coins (D3.js), Volatilitäts-Ranking 30-Tage-Rolling, Drawdown-Analyse historisch größte Verluste, Rebalancing-Vorschlag bei Zielgewicht-Abweichung, Steuerlot-Tracker FIFO für Verkaufsreihenfolge, Angst-&-Gier-Index-Anzeige Mock-Gauge, Diversifikations-Score Gesamtportfolio, Wal-Bewegungs-Log Mock-Einträge große Transaktionen, Export Portfolio-Snapshot PDF, GSAP Preis-Änderungs-Puls-Animationen - USE CASE: Krypto-Anleger behalten Risikokonzentration über viele Coins hinweg im Blick, Berater zeigen Kunden anschaulich warum Diversifikation auch bei Krypto zählt.\n\n116. **#116** — entwickle ein Saisonalitäts-Analyse-Terminal Monats-Quartals-Pattern - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Monatliche Durchschnittsrendite-Heatmap über 20+ Jahre (D3.js Kalender-Heatmap), Bester/Schlechtester-Monat-Ranking pro Asset, Quartalsvergleich-Chart Multi-Year-Overlay (ApexCharts), Vorwahljahr-Effekt US-Wahlzyklus-Visualizer, Sell-in-May-Analyse historisch, Santa-Claus-Rally-Tracker Dezember-Pattern, Wochentags-Effekt-Analyse Montag vs Freitag Renditen, Feiertags-Volatilitäts-Muster, Statistische Signifikanz-Anzeige pro Pattern, Custom-Zeitraum-Vergleichs-Tool, Export Saisonalitäts-Report PDF, GSAP Kalender-Zell-Animationen - USE CASE: Trader timen Positionen anhand statistisch robuster saisonaler Muster, Content-Ersteller erklären Kunden Marktzyklen mit belastbaren historischen Daten.\n\n117. **#117** — programmiere einen Positionsgrößen & Risikomanagement-Rechner Pro - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Positionsgröße-Rechner aus Kontogröße/Risiko-Prozent/Stop-Distanz, Risk-of-Ruin-Simulator bei Verlustserie (D3.js Monte-Carlo), Kelly-Kriterium-Rechner mit Fractional-Kelly-Option, R-Multiple-Tracker pro Trade Historie, Drawdown-Recovery-Rechner wie viel Prozent Gewinn nötig, Portfolio-Heat-Anzeige Gesamtrisiko offener Positionen (ApexCharts Gauge), Korrelierte-Positionen-Warner ähnliche Assets gleichzeitig offen, Trade-Journal mit Tags Setup/Emotion, Win-Rate-vs-Payoff-Ratio-Matrix Break-Even-Linie, Max-Verlust-pro-Tag-Limiter mit Sperr-Hinweis, Export Trading-Journal CSV, GSAP Risiko-Ampel-Animationen - USE CASE: Trader diszipliniert konsistente Positionsgrößen statt willkürlicher Beträge, Prop-Trading-Aspiranten üben Risikomanagement-Regeln vor echtem Kapitaleinsatz.\n\n118. **#118** — baue einen ETF-Sparplan-Vergleichs-Terminal mit TER-Impact - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: ETF-Datenbank-Filter nach TER/Fondsgröße/Replikationsmethode/Ausschüttung, Kostenvergleich-Rechner TER-Impact über 30 Jahre (ApexCharts Flächendiagramm), Tracking-Difference-Anzeige vs offizielle TER, Sparplan-Rechner mit dynamischer Raten-Erhöhung, Core-Satellite-Portfolio-Builder Drag&Drop, Steuerliche-Vorabpauschale-Rechner Deutschland, Sparplan-Ausführungstermine-Vergleich Broker-Simulator, Historische-Rendite-Vergleich mehrerer ETFs (D3.js Multi-Line), Ausschüttungskalender thesaurierend vs ausschüttend, Rebalancing-Frequenz-Impact-Simulator, Export Sparplan-Konfiguration PDF, GSAP Kosten-Vergleichs-Balken-Animationen - USE CASE: Selbstentscheider vergleichen ETFs objektiv statt nach Werbung, Berater zeigen Kunden den langfristigen Kosteneffekt kleiner TER-Unterschiede.\n\n119. **#119** — erstelle eine Forex-Korrelations-Matrix & Carry-Trade-Finder - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Währungspaar-Korrelations-Matrix Heatmap 20+ Paare (D3.js), Carry-Trade-Finder Zinsdifferenz-Ranking zwischen Ländern, Risiko-Sentiment-Anzeige Risk-On/Risk-Off Mock-Indikator, Historische-Korrelations-Verschiebung über Zeit (ApexCharts Line), Diversifikations-Check bei Multi-Pair-Positionen, Rollover-Zins-Rechner pro Position, Volatilitäts-Vergleich Paar-Ranking, Wirtschaftskalender-Impact-Simulator hohe/mittlere/niedrige Relevanz, Session-Overlap-Anzeige Tokyo/London/New York, Pip-Wert-Rechner nach Lot-Größe, Export Korrelations-Report, GSAP Matrix-Zell-Hover-Animationen - USE CASE: Forex-Trader vermeiden ungewollte Klumpenrisiken durch korrelierte Positionen, Carry-Trade-Interessierte identifizieren Zinsdifferenz-Chancen systematisch.\n\n120. **#120** — entwickle eine Backtesting-Sandbox für Trading-Strategien No-Code - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regelbaukasten Einstieg/Ausstieg per Dropdown ohne Code MA-Crossover/RSI-Schwelle/Breakout, Backtesting-Ausführung auf hochgeladenen CSV-Kursdaten, Equity-Curve-Chart mit Drawdown-Unterlegung (ApexCharts), Kennzahlen-Dashboard Sharpe/Sortino/Max-Drawdown/Profit-Factor, Trade-für-Trade-Liste mit Ein-/Ausstiegs-Markierung im Chart, Parameter-Optimierungs-Grid Heatmap bester Kombinationen (D3.js), Walk-Forward-Analyse-Mock robuste vs überoptimierte Strategien, Vergleich mehrerer Strategie-Varianten Side-by-Side, Monte-Carlo-Robustheitstest Trade-Reihenfolge zufällig, Export Backtest-Report PDF, Strategie-Bibliothek speichern/laden, GSAP Equity-Curve-Zeichnungs-Animationen - USE CASE: Angehende Systematik-Trader testen Ideen ohne Programmierkenntnisse, Trading-Coaches demonstrieren live warum Overfitting bei Optimierung ein Risiko ist.\n\n## Kategorie 3: FINANZ-PITCH, REPORTS & STRATEGIE-DOKUMENTE\n\n121. **#121** — erstelle einen Investor-Pitchdeck-Generator interaktiv - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Slide-Editor mit vordefinierten Pitch-Struktur-Templates Problem/Lösung/Markt/Traction/Team/Ask, Finanz-Projektions-Chart 3-5-Jahres-Forecast (ApexCharts), Cap-Table-Mini-Visualizer, TAM-SAM-SOM-Kreisdiagramm (D3.js), Traction-Metriken-Dashboard MRR/Nutzer/Wachstum, Wettbewerbs-Positionierungs-Matrix 2x2, Team-Slide-Builder mit Foto-Platzhaltern, Präsentations-Modus Vollbild mit Tastatur-Navigation, Notizen-Ansicht für Presenter, Export als druckbares PDF, Versionshistorie mehrerer Pitch-Varianten, GSAP Slide-Übergangs-Animationen - USE CASE: Gründer bauen ein konsistentes Pitchdeck ohne Design-Tool-Kenntnisse, Berater erstellen Investoren-Unterlagen für Kunden mit einheitlichem Corporate Design.\n\n122. **#122** — entwickle einen Genussschein-/Zertifikat-Ausgabe-Konfigurator - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zeichnungsformular Betrag/Laufzeit/Zinssatz-Variante, Renditesimulation über Laufzeit (ApexCharts Flächendiagramm), Risikohinweise-Sektion mit Pflicht-Checkbox vor Fortfahren, Zeichnungsvolumen-Fortschrittsbalken Kampagnen-Ziel, Zins-vs-Laufzeit-Vergleichsmatrix mehrerer Varianten, Steuerliche-Behandlung-Erklär-Panel, Rückzahlungsplan-Visualisierung (D3.js Timeline), Zeichner-Übersicht anonymisiert Verteilung nach Betragsgröße, Dokumenten-Download Prospekt/Bedingungen, Zeichnungsbestätigung-PDF-Generator, Sekundärmarkt-Hinweis-Panel, GSAP Fortschritts-Animationen - USE CASE: Emittenten präsentieren Zeichnungsangebote mit klarer Risikokommunikation, Interessenten simulieren Rendite-Szenarien vor Zeichnung.\n\n123. **#123** — programmiere einen Case-Study-Showcase-Builder - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Vorher-Nachher-Vergleichs-Slider visuell, ROI-Kennzahlen-Karten mit Animations-Counter, Kunden-Testimonial-Karussell mit Sternebewertung, Zeitleiste Projektverlauf Meilensteine (D3.js), Ergebnis-Chart-Baukasten Umsatz/Effizienz/Zufriedenheit (ApexCharts), Branchen-Filter für Case-Study-Bibliothek, PDF-Export einzelner Case Studies, Ähnliche-Case-Studies-Empfehlung, Video-Testimonial-Platzhalter-Player, Vergleichstabelle mehrere Case Studies nebeneinander, Lead-Erfassungs-Formular am Ende, GSAP Zahlen-Hochzähl-Animationen - USE CASE: Agenturen präsentieren Kundenerfolge überzeugend im Sales-Prozess, Marketing-Teams pflegen eine durchsuchbare Case-Study-Bibliothek zentral.\n\n124. **#124** — baue eine Business-Plan-Workbench mit Finanzmodell - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Strukturierter Business-Plan-Editor nach Kapiteln, 3-Jahres-Finanzmodell Umsatz/Kosten/Gewinn editierbar (ApexCharts Combo-Chart), Break-Even-Rechner mit Visualisierung, Liquiditätsplan monatlich erste 12 Monate, Personalkosten-Planer mit Einstellungs-Zeitplan, Szenario-Vergleich Best/Base/Worst-Case (D3.js Fächer), SWOT-Analyse-Matrix interaktiv, Finanzierungsbedarf-Rechner mit Runway-Anzeige, Meilenstein-Roadmap-Timeline, Export vollständiger Businessplan als PDF, Kennzahlen-Ampel-Dashboard Gesundheitscheck, GSAP Chart-Aufbau-Animationen - USE CASE: Gründer entwickeln einen bankfähigen Businessplan mit belastbarem Finanzmodell, Berater begleiten Existenzgründer strukturiert durch die Planungsphase.\n\n125. **#125** — erstelle einen Whitepaper-Compliance-Dokument-Viewer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktives Inhaltsverzeichnis mit Sprungmarken, Lesefortschritt-Anzeige Scrollbalken-Prozent, Glossar-Popover für Fachbegriffe bei Hover, Abschnitts-Zusammenfassungen einklappbar, Versionsvergleich zwei Dokumentversionen Diff-Ansicht, Zitier-Funktion Textstelle kopieren mit Quellenangabe, Suchfunktion Volltext mit Ergebnis-Hervorhebung, Lesezeit-Schätzung pro Abschnitt, Download-Optionen PDF/Markdown, Bestätigungs-Log gelesen-und-verstanden mit Zeitstempel, Mehrsprachigkeits-Umschalter, GSAP Abschnitts-Einblend-Animationen - USE CASE: Compliance-Teams stellen sicher dass Mitarbeiter Richtliniendokumente nachweislich gelesen haben, Rechtsabteilungen veröffentlichen komplexe Whitepaper zugänglich strukturiert.\n\n126. **#126** — entwickle einen Kapitalstruktur & Cap-Table-Visualizer für Startups - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Cap-Table-Editor Gründer/Investoren/ESOP-Anteile, Verwässerungs-Simulator bei neuer Finanzierungsrunde (ApexCharts Stacked Bar über Runden), Liquidation-Preference-Rechner bei Exit-Szenarien, Anteilsentwicklung-Timeline über Runden (D3.js Sankey), ESOP-Pool-Planer Größe und Vesting-Schedule, Exit-Szenario-Rechner Verteilung des Erlöses nach Stakeholder, Pro-Rata-Rechte-Tracker Investoren, Down-Round-Impact-Simulator, Option-Vesting-Cliff-Visualizer pro Mitarbeiter, Vergleich Pre-Money vs Post-Money-Bewertung, Export Cap-Table als Excel-kompatibles CSV, GSAP Anteils-Verschiebungs-Animationen - USE CASE: Gründer verstehen Verwässerungseffekte vor Finanzierungsrunden-Verhandlungen, Investoren prüfen Cap-Table-Historie und Liquidationspräferenzen vor Investment-Entscheidung.\n\n127. **#127** — programmiere ein Quartals-Strategiebericht-Dashboard mit OKR-Tracking - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: OKR-Baum Objectives mit verknüpften Key Results (D3.js Hierarchie), Fortschritts-Ampel pro Key Result rot/gelb/grün, Quartalsvergleich-Chart Zielerreichung über Zeit (ApexCharts), Team-Beitrags-Übersicht wer treibt welches Ergebnis, Check-in-Historie wöchentliche Updates pro OKR, Confidence-Score-Trend pro Objective, Strategiekarte-Visualisierung Verknüpfung Vision zu Zielen, Risiko-Flag-System bei Rückstand, Kommentar-Thread pro Key Result, Export Quartalsbericht als Präsentation, Retrospektive-Sektion gelernte Lektionen, GSAP Fortschrittsbalken-Animationen - USE CASE: Führungsteams verfolgen strategische Ziele quartalsweise transparent statt in Excel-Listen, Mitarbeiter sehen wie ihr Beitrag auf übergeordnete Unternehmensziele einzahlt.\n\n128. **#128** — baue einen Fund-Performance-Report-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Renditevergleich Fonds vs Benchmark über Zeitraum (ApexCharts Line-Overlay), Risikokennzahlen-Tabelle Volatilität/Sharpe/Max-Drawdown, Sektor- und Länderallokation (D3.js Treemap), Attributions-Analyse Outperformance-Quellen, Top-10-Holdings-Tabelle mit Gewichtung, Peer-Group-Vergleich Ranking-Perzentil, Ausschüttungshistorie-Chart, Kostenkennzahlen TER/Transaktionskosten transparent, Zeitraum-Selektor 1J/3J/5J/Seit Auflage, Automatischer Kommentar-Textbaustein basierend auf Kennzahlen, PDF-Export Factsheet-Format, GSAP Kennzahlen-Counter-Animationen - USE CASE: Fondsmanager erstellen regelmäßige Performance-Reports für Anleger konsistent, Vertriebsteams nutzen Factsheets als Verkaufsunterlage mit aktuellen Kennzahlen.\n\n129. **#129** — erstelle eine Due-Diligence-Checkliste & Datenraum-Simulator - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kategorisierte DD-Checkliste Finanzen/Recht/Personal/IT/Markt mit Fortschrittsbalken, Dokumenten-Ablagestruktur-Mockup Ordnerbaum (D3.js), Red-Flag-Markierungs-System pro Punkt mit Kommentarfeld, Zugriffsprotokoll-Simulation wer hat was wann eingesehen, Fragen-Antworten-Log Q&A-Prozess strukturiert, Fortschritts-Dashboard Gesamtstatus über alle Kategorien (ApexCharts Radial), Risiko-Bewertungs-Matrix Impact vs Wahrscheinlichkeit, Verantwortlichkeiten-Zuweisung pro Checklistenpunkt, Termin-Tracker Deadline pro Workstream, Export Due-Diligence-Report Zusammenfassung, Vertraulichkeitsstufen-Kennzeichnung Dokumente, GSAP Checklisten-Abhak-Animationen - USE CASE: M&A-Teams strukturieren Due-Diligence-Prozesse nachvollziehbar für alle Beteiligten, Käufer und Verkäufer behalten Übersicht über offene Punkte im Transaktionsprozess.\n\n130. **#130** — entwickle einen Marketing-GTM-Playbook-Builder interaktiv - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Zielgruppen-Persona-Builder mit Steckbrief-Karten, Kanal-Strategie-Matrix Reichweite vs Kosten pro Kanal (D3.js Scatter), Content-Kalender-Planer Drag&Drop nach Wochen, Funnel-Visualisierung Awareness bis Conversion mit Konversionsraten (ApexCharts Funnel), Budget-Allokations-Rechner nach Kanal, Kampagnen-Timeline mit Meilensteinen, Messaging-Framework-Editor Value Proposition pro Segment, Wettbewerbs-Vergleichstabelle Positionierung, KPI-Zielvorgaben-Dashboard pro Kanal, Launch-Checkliste mit Verantwortlichkeiten, Export Playbook als Team-Handbuch PDF, GSAP Funnel-Fluss-Animationen - USE CASE: Marketing-Teams entwickeln einen strukturierten Go-To-Market-Plan für neue Produkte, Führungskräfte erhalten eine klare Übersicht über Kanal-Budget-Allokation vor Freigabe.\n\n## Kategorie 4: DEV-TOOLS, LERNPLATTFORMEN & CODING-UTILITIES\n\n131. **#131** — erstelle einen JWT-Decoder & Token-Debugger Pro - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Live-Decodierung Header/Payload/Signature farbcodiert, Signatur-Prüfung mit eingegebenem Secret HS256/RS256, Ablaufzeit-Countdown mit Warnfarbe bei baldigem Expiry, Claims-Editor zum Testen modifizierter Payloads, Token-Historie letzte 20 dekodierte Tokens, Algorithmus-Vergleichstabelle Sicherheitsempfehlungen, Base64URL-Encoder/Decoder-Zusatztool, Token-Größen-Analyse Header/Payload/Signature-Anteile (ApexCharts Donut), Bekannte-Schwachstellen-Warnhinweise alg-none-Angriff etc., Copy-to-Clipboard pro Sektion, Dunkles Entwickler-Theme, GSAP Decodier-Animationen - USE CASE: Backend-Entwickler debuggen Auth-Probleme ohne Token in unsichere Online-Tools einzufügen, Sicherheitsteams prüfen Token-Konfiguration auf bekannte Schwachstellen lokal.\n\n132. **#132** — entwickle eine API-Request-Sandbox REST-Client - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Request-Builder Methode/URL/Header/Body mit Syntax-Highlighting, Umgebungsvariablen-Verwaltung Dev/Staging/Prod, Response-Viewer formatiert JSON mit Kollabier-Funktion, Response-Zeit-Historie-Chart pro Endpoint (ApexCharts Sparkline), Request-Collections-Ordnerstruktur, Diff-Ansicht zwischen zwei Responses, Header-Bibliothek häufige Presets Auth/Content-Type, cURL-Export generiert Copy-Paste-Befehl, Status-Code-Verteilungs-Dashboard über Session (D3.js), Mock-Response-Modus für Offline-Entwicklung, Request-Verlauf durchsuchbar, GSAP Response-Einblend-Animationen - USE CASE: Entwickler testen APIs während der Entwicklung ohne externe Tools zu installieren, QA-Teams dokumentieren Request-Collections für Regressionstests.\n\n133. **#133** — programmiere einen interaktiven Coding-Kurs-Player mit Live-Editor - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Lektion-Sidebar mit Fortschritts-Checkmarks, Live-Code-Editor mit sofortiger Ausführung im Browser, Test-Runner zeigt Pass/Fail pro Aufgabe farbcodiert, Hint-System gestaffelte Tipps bei Bedarf, Lösungs-Vergleich nach eigenem Versuch, XP-/Level-System mit Fortschrittsbalken (ApexCharts Radial), Lernpfad-Baum-Visualisierung Abhängigkeiten zwischen Lektionen (D3.js), Zeit-pro-Lektion-Tracking, Zertifikat-Generator bei Kursabschluss, Code-Playground frei zum Experimentieren, Diskussions-Notizen pro Lektion, GSAP Fortschritts-Level-Up-Animationen - USE CASE: Lernplattformen bieten praxisnahes Coding-Training mit sofortigem Feedback, Selbstlerner verfolgen ihren Fortschritt strukturiert durch einen Lernpfad.\n\n134. **#134** — baue einen Prüfungssimulator mit adaptivem Schwierigkeitsgrad - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fragenkatalog nach Fach/Thema kategorisiert, Adaptive Schwierigkeits-Anpassung basierend auf Antwortverlauf, Timer pro Frage und Gesamtprüfung, Sofort-Feedback mit Erklärung bei falscher Antwort, Schwachstellen-Analyse nach Prüfung Themen-Heatmap (D3.js), Fortschritts-Chart über mehrere Prüfungsversuche (ApexCharts Line), Fragenpool-Statistik Schwierigkeitsverteilung, Simulierte-Prüfungsbedingungen-Modus ohne Pause, Falsch-beantwortete-Fragen-Wiederholungsmodus, Zertifikats-Vorbereitungs-Fortschrittsanzeige, Multiple-Choice und Freitext-Fragetypen, GSAP Antwort-Feedback-Animationen - USE CASE: Prüfungskandidaten bereiten sich realistisch auf IHK-/Sachkunde-Prüfungen vor, Bildungsanbieter identifizieren individuelle Wissenslücken zur gezielten Nachschulung.\n\n135. **#135** — erstelle ein Formel-Wissens-Nachschlagewerk mit LaTeX-Rendering - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Formel-Datenbank kategorisiert Mathematik/Physik/Finanzen, LaTeX-Rendering für saubere Formel-Darstellung, Interaktiver Formel-Rechner Variablen eingeben Ergebnis live, Herleitungs-Schritte einklappbar pro Formel, Verwandte-Formeln-Verlinkung Graph-Ansicht (D3.js), Volltextsuche über Formelnamen und Anwendungsgebiete, Lesezeichen-Sammlung häufig genutzte Formeln, Beispielaufgaben pro Formel mit Lösungsweg, Einheiten-Umrechner-Zusatztool, Druckansicht Formelsammlung als PDF, Dunkles Lese-Theme augenschonend, GSAP Formel-Einblend-Animationen - USE CASE: Studierende nutzen die App als digitale Formelsammlung in Prüfungsvorbereitung, Praktiker schlagen Finanzformeln mit sofortiger Berechnungsmöglichkeit nach.\n\n136. **#136** — entwickle einen interaktiven Vibe-Coding-Guide Schritt-für-Schritt - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Workflow-Stepper Idee-zu-Spezifikation-zu-Code-zu-Prüfung-zu-Handoff, Prompt-Vorlagen-Bibliothek pro Schritt mit Copy-Button, Vorher-Nachher-Beispiele guter vs schlechter Prompts, Checklisten-Sidebar pro Phase, Best-Practice-Tipps als aufklappbare Karten, Fortschritts-Tracker eigenes Projekt durch die Phasen (ApexCharts Stepper), Häufige-Fehler-Galerie mit Erklärung, Interaktives Glossar KI-Coding-Begriffe, Zeitersparnis-Rechner geschätzt vs traditionelle Entwicklung, Community-Tipps-Sektion Platzhalter-Einträge, Export eigener Workflow-Notizen, GSAP Stepper-Übergangs-Animationen - USE CASE: Entwickler-Teams etablieren einen konsistenten KI-unterstützten Entwicklungs-Workflow, Onboarding neuer Teammitglieder in KI-gestützte Coding-Praktiken wird strukturiert.\n\n137. **#137** — programmiere einen Regex-Tester & Cheat-Sheet-Builder - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Live-Regex-Tester mit Highlight der Treffer im Testtext, Gruppen-Erfassungs-Anzeige nummeriert und benannt, Regex-Erklärung-Panel zerlegt Pattern in verständliche Teile, Häufige-Patterns-Bibliothek E-Mail/URL/Telefonnummer copy-paste, Flags-Umschalter global/case-insensitive/multiline live, Ersetzungs-Vorschau mit Capture-Group-Referenzen, Performance-Warnung bei potenziell langsamem Pattern catastrophic backtracking, Eigene-Patterns-Sammlung speichern mit Namen, Sprachvergleich Syntax-Unterschiede JS/Python/PHP, Test-Fälle-Batch mehrere Testtexte gleichzeitig, Export Cheat-Sheet als PDF, GSAP Treffer-Highlight-Animationen - USE CASE: Entwickler entwickeln und testen komplexe Regex-Patterns visuell statt durch Trial-and-Error im Code, Teams bauen eine gemeinsame Pattern-Bibliothek für wiederkehrende Validierungen.\n\n138. **#138** — baue einen Embedding-Vektorsuche-Playground - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Text-Eingabe-Liste zum Vergleichen mehrerer Sätze, Cosine-Similarity-Matrix zwischen allen Eingaben (D3.js Heatmap), 2D-Projektions-Visualisierung Embeddings-Cluster (D3.js Scatter mit Mock-Dimensionsreduktion), Nächste-Nachbarn-Suche Top-K-Ergebnisse mit Score, Chunking-Strategie-Vergleich Satz vs Absatz vs Fixed-Size, Ähnlichkeits-Schwellenwert-Slider Live-Filterung, Vektordimensions-Erklär-Panel, Batch-Import Textliste aus Datei, Cluster-Erkennung automatisch gruppiert ähnliche Texte, Export Similarity-Matrix als CSV, Farbcodierte Ähnlichkeits-Legende, GSAP Cluster-Bildungs-Animationen - USE CASE: Entwickler verstehen Embedding-basierte Suche visuell bevor sie RAG-Systeme bauen, Data-Scientists testen Chunking-Strategien vor Produktiv-Einsatz.\n\n139. **#139** — erstelle einen Git-Workflow-Simulator Branch-Visualizer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Interaktiver Branch-Graph-Visualizer Commits als Knoten (D3.js), Simulierte Git-Befehle Branch/Merge/Rebase mit visueller Auswirkung, Merge-Konflikt-Trainer künstliche Konflikte lösen im Editor, Commit-Historie-Zeitleiste mit Nachrichten, Branching-Strategie-Vorlagen GitFlow/Trunk-Based als Diagramm, Befehls-Cheat-Sheet kontextsensitiv zur aktuellen Situation, Undo-Redo für Simulationsschritte, Szenario-Bibliothek häufige Git-Probleme zum Üben, Fortschritts-Tracker abgeschlossene Übungen, Erklär-Tooltips bei jedem simulierten Befehl, Export Diagramm als Bild, GSAP Branch-Erstellungs-Animationen - USE CASE: Einsteiger lernen Git-Konzepte gefahrlos ohne echtes Repository zu riskieren, Teams üben Merge-Konflikt-Auflösung in einer sicheren Sandbox vor echten Projekten.\n\n140. **#140** — entwickle einen Docs-Doctor Dokumentations-Qualitäts-Scanner - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Markdown-Upload-Analyse Lesbarkeits-Score Flesch-Kincaid-artig, Struktur-Check fehlende Überschriften-Ebenen oder Abschnitte, Lücken-Finder erwähnte aber nicht erklärte Begriffe, Link-Validitäts-Check interne Anker vorhanden, Konsistenz-Prüfung Terminologie einheitlich verwendet, Vollständigkeits-Checkliste Standard-Abschnitte vorhanden Installation/Nutzung/API, Wortwiederholungs-Analyse Stil-Verbesserung, Qualitäts-Score-Verlauf bei mehreren Scans über Zeit (ApexCharts Line), Vergleich mehrerer Dokumente Ranking (D3.js Balken), Verbesserungsvorschläge priorisiert nach Impact, Export Analyse-Report PDF, GSAP Score-Reveal-Animationen - USE CASE: Entwickler-Teams verbessern README- und API-Dokumentation systematisch vor Release, Technical Writer identifizieren Qualitätslücken über viele Dokumente hinweg schnell.\n\n## Kategorie 5: NEWS, DATENFEEDS & OSINT\n\n141. **#141** — erstelle einen Multi-Source-News-Aggregator mit Sentiment-Ampel - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: News-Feed-Grid nach Quelle/Kategorie filterbar, Sentiment-Ampel pro Artikel positiv/neutral/negativ Mock-Klassifikation, Themen-Cluster-Ansicht verwandte Artikel gruppiert, Sentiment-Verlauf über Zeit pro Thema (ApexCharts Line), Lesezeit-Schätzung pro Artikel, Wichtigkeits-Score-Ranking Top-Meldungen hervorgehoben, Eigene-Themen-Watchlist mit Push-ähnlicher Hervorhebung, Quellen-Vertrauenswürdigkeits-Kennzeichnung, Artikel-Speicher-Funktion Später-Lesen-Liste, Volltext-Suche über gespeicherte Artikel, Export Tages-Briefing als PDF-Zusammenfassung, GSAP Feed-Einblend-Animationen - USE CASE: Analysten überblicken relevante Nachrichten zu Beobachtungsthemen ohne viele Seiten zu besuchen, Kommunikationsteams verfolgen Sentiment-Entwicklung zu Unternehmensthemen.\n\n142. **#142** — entwickle eine OSINT-Recherche-Matrix Verknüpfungs-Graph - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Entitäten-Erfassung Personen/Firmen/Orte als Knoten anlegen, Beziehungs-Graph zwischen Entitäten (D3.js Force-Directed), Zeitleisten-Ansicht bekannter Ereignisse pro Entität, Quellen-Dokumentation pro Verknüpfung mit Link, Notiz-Anhänge pro Knoten, Suchfunktion über alle erfassten Entitäten, Export Graph als Bild für Berichte, Verdachtsgrad-Kennzeichnung pro Verbindung bestätigt/vermutet, Cluster-Erkennung eng verbundener Gruppen, Zeitstempel-Historie wann Info hinzugefügt wurde, Vertraulichkeitsstufen-Markierung, GSAP Graph-Aufbau-Animationen - USE CASE: Investigative Recherche-Teams visualisieren komplexe Beziehungsnetzwerke aus öffentlich verfügbaren Quellen, Compliance-Abteilungen dokumentieren Zusammenhänge bei Sanktionsprüfungen nachvollziehbar.\n\n143. **#143** — programmiere einen Wetter-zu-Handelssignal-Korrelator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wetterdaten-Eingabe Temperatur/Niederschlag pro Region, Rohstoffpreis-Overlay Agrarrohstoffe/Energie (ApexCharts Dual-Axis), Historische-Korrelations-Berechnung Wetter vs Preis, Saisonale-Muster-Erkennung Dürre/Frost-Perioden markiert, Regions-Karte betroffene Anbaugebiete (D3.js Choropleth Mock), Wetterextrem-Alert-Log historische Ereignisse mit Preisauswirkung, Vergleichs-Tool mehrere Rohstoffe gleichzeitig, Korrelations-Stärke-Anzeige mit Konfidenz, Prognose-Szenario bei angenommenem Wetterereignis, Export Analyse-Chart, Glossar Wetter-Fachbegriffe für Trader, GSAP Karten-Highlight-Animationen - USE CASE: Rohstoffhändler verstehen Wetterrisiken für Agrar- und Energiepreise strukturiert, Analysten erstellen Research-Notes mit historischer Evidenz zu Wetter-Preis-Zusammenhängen.\n\n144. **#144** — baue ein Live-Wetter-Radar-Dashboard mit Warnstufen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Regionale-Wetterkarte mit Radar-Overlay-Mockup, Warnstufen-Ampel-System nach Schweregrad, 7-Tage-Vorhersage-Karten mit Icons, Historische-Wetterdaten-Chart Temperaturverlauf (ApexCharts), Extremwetter-Wahrscheinlichkeits-Anzeige, Standort-Favoriten-Verwaltung mehrere Orte, Push-Warnung-Simulation bei Unwetter-Ankündigung, Aktivitäts-Empfehlung basierend auf Wetter Outdoor-geeignet Ja/Nein, Luftqualitäts-Index-Anzeige zusätzlich, Sonnenauf-/untergangszeiten-Rechner, Export Wetterbericht als Bild zum Teilen, GSAP Warnstufen-Puls-Animationen - USE CASE: Nutzer planen Aktivitäten anhand verlässlicher Kurz- und Mittelfrist-Prognosen, Einsatzplaner in Außendienstberufen prüfen Warnstufen vor Terminplanung.\n\n145. **#145** — erstelle einen Gesetzes-Regulatorik-Tracker mit Diff-Ansicht - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Gesetzesänderungs-Feed nach Rechtsgebiet kategorisiert, Diff-Ansicht alte vs neue Gesetzesfassung farbcodiert, Relevanz-Filter nach Branche/Abteilung, Zeitleiste anstehender Inkrafttretungs-Termine (D3.js), Auswirkungs-Einschätzung Ampel-System pro Änderung, Kommentarfunktion interne Einschätzung pro Thema, Verantwortlichkeits-Zuweisung wer prüft welche Änderung, Volltextsuche über erfasste Regularien, Erinnerungs-Kalender vor Inkrafttreten, Compliance-Status-Dashboard umgesetzt/in Bearbeitung/offen (ApexCharts), Export Regulatorik-Report für Management, GSAP Diff-Highlight-Animationen - USE CASE: Compliance-Teams verfolgen relevante Gesetzesänderungen systematisch statt Newsletter zu durchforsten, Rechtsabteilungen dokumentieren Umsetzungsstatus für Audits nachvollziehbar.\n\n146. **#146** — entwickle einen Feiertags & Handelskalender-Planer International - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Mehrländer-Feiertagskalender mit Börsenöffnungszeiten, Handelsfreie-Tage-Übersicht nach Börse DAX/Dow/Nikkei, Überschneidungs-Finder Feiertage mehrerer Länder, Liquiditäts-Warnung an Tagen mit reduziertem Handel, Zeitzonen-Umrechner für internationale Meetings, Export Kalender als ICS-Datei, Jahresübersicht-Heatmap Handelstage vs Feiertage (D3.js Kalender), Individuelle-Ereignisse hinzufügen eigene Termine, Erinnerungs-Funktion vor wichtigen Terminen, Vergleich Handelstage-Anzahl pro Börse und Jahr (ApexCharts Balken), Brückentag-Planer-Hinweis, GSAP Kalender-Monatswechsel-Animationen - USE CASE: Internationale Trading-Teams planen Handelsaktivität um globale Feiertage herum, Reisebüros und Vertriebsteams koordinieren Termine über Zeitzonen und Feiertage hinweg.\n\n147. **#147** — programmiere ein Space-Weather & NASA-Datenfeed-Dashboard - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sonnenaktivitäts-Anzeige Sonnenflecken-Index Mock-Daten, Geomagnetischer-Sturm-Warnstufen-Ampel, ISS-Position-Tracker-Mockup mit Umlaufbahn-Karte (D3.js), Erdnahe-Objekte-Liste NEO mit Größe/Distanz, Weltraumwetter-Auswirkungs-Erklärung GPS/Funk/Stromnetz, Historische-Sonnensturm-Ereignisse-Zeitleiste, Aurora-Sichtbarkeits-Wahrscheinlichkeits-Karte nach Breitengrad, Mond-Phasen-Kalender, Satelliten-Anzahl-Statistik nach Umlaufbahn-Typ (ApexCharts Donut), Bildungs-Glossar Weltraumwetter-Begriffe, Export Tagesreport, GSAP Orbit-Animationen - USE CASE: Weltraum-Enthusiasten verfolgen aktuelle Sonnenaktivität und Aurora-Chancen verständlich aufbereitet, Bildungseinrichtungen nutzen das Dashboard als anschauliches Lehrmittel für Astronomie.\n\n148. **#148** — baue einen Finanznachrichten-Analyzer mit Kursreaktions-Overlay - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Nachrichten-Feed mit Zeitstempel gekoppelt an Kurschart, Kursreaktion-Overlay zeigt Bewegung nach Meldung (ApexCharts Annotations), Kategorisierung Gewinnwarnung/Übernahme/Regulatorik/Makro, Historische-Ähnliche-Ereignisse-Finder Pattern-Matching Mock, Überraschungs-Score geplant vs unerwartet, Volumen-Spike-Korrelation mit Newsflow (D3.js), Sentiment-vs-Kursreaktion-Scatter-Plot, Watchlist-Integration nur relevante Assets, Nachrichten-Wichtigkeits-Filter Breaking/Normal, Zeitverzögerungs-Analyse wie schnell reagiert der Markt, Export Ereignis-Analyse-Report, GSAP Kursreaktions-Highlight-Animationen - USE CASE: Trader analysieren wie Kurse historisch auf ähnliche Nachrichten reagiert haben, Research-Analysten dokumentieren Event-Studies für interne Berichte.\n\n149. **#149** — erstelle einen Social-Media-Trend-Radar Hashtag-Volumen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trend-Ranking-Liste nach Volumen und Wachstumsrate, Hashtag-Volumen-Verlauf-Chart über Zeit (ApexCharts Line), Themen-Cluster-Visualisierung verwandte Trends (D3.js), Geografische-Verteilung-Mock-Karte wo Trend stärkst, Sentiment-Verteilung pro Trend positiv/negativ/gemischt, Influencer-Beteiligungs-Indikator Mock, Trend-Lebenszyklus-Phase aufsteigend/Peak/abklingend, Wettbewerbs-Marken-Erwähnungs-Vergleich, Alert-Konfiguration bei Trend-Schwellenwert-Überschreitung, Export Trend-Report für Marketing-Team, Zeitzonen-adjustierte Aktivitäts-Heatmap, GSAP Trend-Aufstiegs-Animationen - USE CASE: Marketing-Teams erkennen relevante Trends frühzeitig für Content-Planung, Kommunikationsabteilungen überwachen Markenerwähnungen im Vergleich zum Wettbewerb.\n\n150. **#150** — entwickle ein Krisen-Ereignis-Frühwarnsystem-Dashboard - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Ereignis-Feed kategorisiert Geopolitik/Wirtschaft/Naturkatastrophen, Risiko-Score-Ampel pro Region (D3.js Choropleth Mock), Eskalations-Stufen-Anzeige beobachtet/erhöht/kritisch, Betroffenheits-Analyse eigene Standorte/Lieferketten markiert, Historische-Krisen-Vergleich ähnliche vergangene Ereignisse, Reaktionsplan-Checkliste pro Krisentyp, Kommunikations-Eskalationskette wer wird wann informiert, Zeitleiste Ereignisentwicklung (D3.js), Impact-Schätzung finanziell/operational (ApexCharts Gauge), Lessons-Learned-Dokumentation nach Ereignis, Export Krisenreport für Management, GSAP Eskalations-Alarm-Animationen - USE CASE: Risikomanagement-Teams erkennen aufkommende Krisen frühzeitig und koordinieren Reaktionen strukturiert, Führungskräfte erhalten kompakte Impact-Einschätzungen für schnelle Entscheidungen.\n\n## Kategorie 6: REISE-, WETTER- & OUTDOOR-TOOLS\n\n151. **#151** — erstelle einen interaktiven Reiseführer-Baukasten mit Karte & Geheimtipp-Filter - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+IndexedDB - FEATURES: Interaktive Karte mit kategorisierten Pins Strand/Kultur/Natur/Geheimtipp, Filter-Leiste Region und Kategorie kombinierbar, Orts-Detailkarten mit Bild/Beschreibung/UNESCO-Kennzeichnung, Praktische-Infos-Panel Währung/Sprache/Sicherheit, Routen-Vorschläge zwischen ausgewählten Orten, Eigene-Reiseliste zusammenstellen und exportieren, Bewertungs-/Notiz-Funktion pro Ort persönlich, Saisonale-Empfehlungen beste Reisezeit pro Ort, Offline-Karten-Hinweis für Vorab-Download, Entfernungsrechner zwischen Orten, Foto-Galerie pro Sehenswürdigkeit, GSAP Karten-Pin-Einblend-Animationen - USE CASE: Reisende planen individuelle Routen abseits ausgetretener Pfade mit verlässlichen Praxis-Infos, Reiseblogger bauen wiederverwendbare interaktive Guides für verschiedene Regionen.\n\n152. **#152** — entwickle einen Roadtrip-Routenplaner mit Ladestationen & Gefahrenzonen - HTML - TECH: Tailwind+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Routenberechnung zwischen Wegpunkten mit mehreren Zwischenstopps, E-Ladestationen-Layer entlang der Strecke, Nachtfahrt-Gefahrenzonen-Overlay markiert, Tages-Etappen-Planer mit Fahrzeit-Schätzung, Übernachtungs-Vorschläge entlang der Route, Tankstellen-/Rastplatz-Layer, Wetter-entlang-der-Route-Anzeige pro Etappe, Höhenprofil-Chart der Strecke (ApexCharts Area), Reisekosten-Schätzung Sprit/Maut/Übernachtung, PNG-Export der geplanten Route, Mehrere-Tile-Layer-Optionen Satellit/Terrain/Standard, GSAP Routen-Zeichnungs-Animationen - USE CASE: Familien planen mehrtägige Autoreisen mit realistischer Etappenplanung, E-Auto-Fahrer stellen sicher dass Ladestationen entlang der gesamten Strecke verfügbar sind.\n\n153. **#153** — programmiere einen Reisebudget & Ausgaben-Tracker Multi-Währung - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Budget-Kategorien Unterkunft/Essen/Transport/Aktivitäten mit Limits, Ausgaben-Erfassung mit automatischer Währungsumrechnung, Tagesbudget-vs-Ist-Vergleich (ApexCharts Balken), Reisekasse-Übersicht mehrere Währungen gleichzeitig, Ausgaben-Kategorien-Donut pro Reise, Splitting-Rechner Kosten unter Mitreisenden aufteilen, Kurshistorie-Chart der genutzten Währungen, Reisevergleich mehrere vergangene Reisen nebeneinander, Wechselkurs-Alarm bei günstigem Kurs, Beleg-Foto-Anhang pro Ausgabe, Export Reiseabrechnung als PDF, GSAP Budget-Balken-Animationen - USE CASE: Reisende behalten Ausgaben über mehrere Währungen hinweg im Blick ohne Excel, Gruppenreisen teilen gemeinsame Kosten fair und nachvollziehbar auf.\n\n154. **#154** — baue einen Guide-Trinkgeld & Einkommens-Kalkulator - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Einflussfaktoren-Eingabe Wetter/Gruppengröße/Nationalitäten-Mix, Trinkgeld-Prognose basierend auf historischen Einträgen (ApexCharts Regression-Linie), Tour-Historie-Log mit tatsächlichem Trinkgeld pro Tour, Saisonale-Muster-Analyse beste/schlechteste Monate, Gruppengrößen-Schwellenwert-Analyse ab wann Trinkgeld steigt, Wetter-Korrelations-Anzeige, Einkommens-Ziel-Tracker monatlich, Vergleich verschiedener Tour-Typen Rentabilität, Statistik-Dashboard Durchschnitt/Median/Bestes-Ergebnis, Notizfeld pro Tour besondere Umstände, Export Einkommens-Übersicht für Steuerzwecke, GSAP Prognose-Update-Animationen - USE CASE: Freiberufliche Guides schätzen ihr variables Einkommen realistischer ein, Tour-Anbieter optimieren Gruppengrößen basierend auf historischer Trinkgeld-Datenanalyse.\n\n155. **#155** — erstelle einen Packlisten-Generator nach Reiseziel & Klima - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Klimazone-basierte Vorschlagslisten Tropisch/Gemäßigt/Kalt/Wüste, Reisedauer-Anpassung Anzahl Kleidungsstücke skaliert, Aktivitäts-Module Wandern/Business/Strand als Zusatzkategorien, Abhak-Fortschritt mit Prozentanzeige (ApexCharts Radial), Gewichts-Rechner geschätztes Gepäckgewicht, Gepäckkategorien Handgepäck/Aufgabegepäck-Zuordnung, Wiederverwendbare-Vorlagen für wiederkehrende Reisetypen, Vergessens-Warnung häufig vergessene Gegenstände, Familienpackliste mehrere Personen gruppiert, Wetter-Integration Anpassung basierend auf Vorhersage, Export als druckbare Checkliste, GSAP Abhak-Animationen - USE CASE: Vielreisende erstellen schnell passgenaue Packlisten statt jedes Mal neu zu überlegen, Familien koordinieren Gepäck für mehrere Personen ohne etwas zu vergessen.\n\n156. **#156** — entwickle einen Sehenswürdigkeiten-Sammler mit Karten-Timeline - HTML - TECH: Bootstrap5+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Besuchte-Orte-Karte mit Zeitstempel-Pins, Reise-Tagebuch-Einträge pro Ort mit Foto-Platzhalter, Zeitleisten-Ansicht chronologisch aller Reisen (D3.js), Länder-/Städte-Zähler-Statistik besucht, Fortschritts-Karte eingefärbte besuchte Länder (D3.js Choropleth), Reise-Jahresrückblick-Generator, Lieblingsorte-Ranking mit Bewertung, Teilen-Funktion-Mockup Reisebericht exportieren, Entfernungs-Gesamtstatistik zurückgelegte Kilometer, Foto-Sammlung pro Ort gruppiert, Notiz-Suchfunktion über alle Einträge, GSAP Pin-Sammlungs-Animationen - USE CASE: Vielreisende dokumentieren ihre Reisehistorie visuell ansprechend an einem Ort, Reise-Communities zeigen persönliche Entdeckungen strukturiert statt in losen Fotoalben.\n\n157. **#157** — baue einen Camping & Outdoor-Ausrüstungs-Planer mit Gewichts-Rechner - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ausrüstungs-Kategorien Zelt/Schlafsack/Kochutensilien/Kleidung, Gewichts-Rechner Gesamtgepäck mit Warnung bei Überschreitung (ApexCharts Gauge), Packliste nach Tourdauer skaliert, Wetter-abhängige Ausrüstungs-Empfehlung, Verleih-vs-Kauf-Kostenvergleich, Ausrüstungs-Inventar eigene Gegenstände mit Zustand, Trekking-Route-Schwierigkeitsgrad-Anpassung Ausrüstungsbedarf, Proviant-Kalorienrechner pro Tag und Person, Packliste-Vorlagen nach Tourtyp Solo/Gruppe/Winter, Wartungs-Erinnerung Ausrüstung überprüfen vor Tour, Export Packliste mit Gewichtsangaben, GSAP Gewichts-Balken-Animationen - USE CASE: Wanderer und Camper packen gewichtsoptimiert ohne wichtige Ausrüstung zu vergessen, Outdoor-Anbieter beraten Kunden mit nachvollziehbaren Gewichts- und Bedarfsrechnungen.\n\n158. **#158** — erstelle eine öffentliche-Verkehrsmittel-Verbindungssuche mit Offline-Cache - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Verbindungssuche zwischen zwei Orten mit Umstiegen, Fahrplan-Anzeige nach Verkehrsmittel Bus/Bahn/Tram gefiltert, Offline-Cache häufig genutzter Verbindungen, Verspätungs-Statistik historisch pro Linie (ApexCharts Balken), Ticketpreis-Schätzung nach Zonen, Barrierefreiheits-Kennzeichnung pro Verbindung, Alternative-Routen-Vorschläge bei Ausfall, Lieblingsverbindungen-Speicherfunktion, Karten-Ansicht der Route (D3.js oder Leaflet), Reisezeit-Vergleich verschiedener Abfahrtszeiten, Pünktlichkeits-Ranking der Linien, GSAP Verbindungs-Such-Animationen - USE CASE: Pendler und Reisende finden verlässliche Verbindungen auch ohne Internetzugang unterwegs, Tourist:innen in fremden Städten navigieren den ÖPNV ohne lokale App-Installation.\n\n159. **#159** — entwickle einen Auswanderungs-Umzugs-Kosten-Vergleichsrechner - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Lebenshaltungskosten-Vergleich zwischen Ländern/Städten (ApexCharts Balken), Kategorien-Breakdown Miete/Lebensmittel/Gesundheit/Steuern, Kaufkraft-Index-Berechnung angepasst an Gehalt, Umzugskosten-Rechner Transport/Visa/Kaution, Steuersystem-Vergleich grobe Einschätzung, Gesundheitssystem-Kurzvergleich, Klimazonen-und-Lebensqualität-Vergleich, Sprachbarriere-Einschätzung, Zeitzonen-Unterschied-Anzeige zu Heimat, Community-Größe-Indikator Expats vor Ort Mock, Break-Even-Rechner ab wann Umzug sich lohnt, GSAP Vergleichs-Balken-Animationen - USE CASE: Auswanderungsinteressierte vergleichen potenzielle Zielländer objektiv vor der Entscheidung, Personalabteilungen kalkulieren Auslandsentsendungs-Budgets für Mitarbeiter transparent.\n\n160. **#160** — baue ein Reise-Tagebuch mit Karten-Pins & Foto-Timeline - HTML - TECH: Skeleton+Alpine.js+Leaflet+D3.js+GSAP+LocalStorage - FEATURES: Tagebucheinträge mit Datum/Ort/Text/Foto-Platzhalter, Karten-Ansicht aller Einträge als verbundene Route, Stimmungs-Tracking pro Eintrag Emoji-basiert, Zeitleisten-Ansicht chronologisch mit Vorschau (D3.js), Kapitel-Gruppierung nach Reiseabschnitt, Volltextsuche über alle Einträge, Statistik-Dashboard Anzahl Einträge/Orte/Fotos, Wetter-Notiz pro Tag automatisch-manuell, Export als zusammenhängendes Reisebuch PDF, Privatsphäre-Stufen pro Eintrag privat/teilbar, Highlight-Markierung besondere Momente, GSAP Timeline-Scroll-Animationen - USE CASE: Reisende halten Erlebnisse strukturiert fest statt verstreuter Notizen-App-Einträge, Langzeitreisende erstellen am Ende ein zusammenhängendes digitales Reisebuch zum Teilen.\n\n## Kategorie 7: SPORT & SAMMLER-TOOLS\n\n161. **#161** — erstelle ein Fantasy-Liga-Manager-Dashboard mit Live-Punkten - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kader-Aufstellung Drag&Drop nach Formation, Punkte-Berechnung pro Spieler nach Aktionen Tor/Assist/Karte, Liga-Tabelle mit allen Teilnehmern (ApexCharts Balken), Spieler-Formkurve letzte 5 Spiele (D3.js Sparkline), Transfer-Markt mit Budget-Verwaltung, Kapitäns-Wahl mit Punkte-Multiplikator, Spieltag-Historie eigene Punktentwicklung, Verletzungs-/Sperren-Warnung vor Kader-Sperre, Kopf-an-Kopf-Vergleich gegen Liga-Konkurrenten, Wochen-MVP-Auszeichnung automatisch, Export Saison-Zusammenfassung, GSAP Punkte-Update-Animationen - USE CASE: Fantasy-Liga-Teilnehmer verwalten ihr Team mit detaillierter Performance-Analyse, Liga-Organisatoren bieten Teilnehmern eine ansprechende zentrale Übersicht.\n\n162. **#162** — entwickle einen Sammelkarten-Portfolio-Tracker mit Wertentwicklung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Sammlung-Inventar mit Zustand-Bewertung Mint/Near-Mint/Played, Wertentwicklungs-Chart pro Karte manuell gepflegt (ApexCharts Line), Portfolio-Gesamtwert-Anzeige mit Verlauf, Seltenheits-Kategorisierung Common/Rare/Legendary, Wunschlisten-Verwaltung fehlende Karten, Sammlung-Vollständigkeits-Anzeige pro Set (ApexCharts Radial), Tausch-Vorschlags-Liste eigene Dubletten, Kategorie-Verteilung nach Set/Ära (D3.js Treemap), Zustandsverschlechterungs-Notizen über Zeit, Versicherungswert-Schätzung Gesamtsammlung, Export Sammlungsliste als Inventar-PDF, GSAP Wert-Update-Animationen - USE CASE: Sammler behalten Überblick über Portfoliowert und Vollständigkeit ihrer Sammlung, Käufer/Verkäufer dokumentieren Zustand und Wert für Versicherung oder Verkauf.\n\n163. **#163** — programmiere einen Trainingsplan-Builder mit Fortschritts-Charts - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Trainingsplan-Editor Übungen nach Muskelgruppe/Tag, Fortschritts-Tracking Gewicht/Wiederholungen pro Übung über Zeit (ApexCharts Line), Periodisierungs-Ansicht Aufbau/Erhaltung/Deload-Phasen, Ein-Wiederholungs-Maximum-Rechner geschätzt, Körpermaße-Tracker mit Verlaufsdiagramm, Trainingsvolumen-Analyse pro Woche (D3.js Stacked Bar), Übungsbibliothek mit Ausführungshinweisen, Ruhetag-Planer automatische Balance, Trainingsstreak-Tracker Motivation, Kalorien-/Makro-Schätzung pro Trainingstag, Export Trainingsplan als PDF, GSAP Fortschritts-Balken-Animationen - USE CASE: Freizeitsportler planen und verfolgen Trainingsfortschritt strukturiert ohne teure Fitness-App-Abos, Personal Trainer erstellen individuelle Trainingspläne für Klienten mit klarer Fortschrittsdokumentation.\n\n164. **#164** — baue ein Vereins-Team-Statistik-Vergleichs-Terminal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Team-Vergleichs-Matrix Offensive/Defensive-Kennzahlen, Saisonverlauf-Chart Tabellenplatz über Spieltage (ApexCharts Line), Head-to-Head-Historie zwischen zwei Teams, Heim-vs-Auswärts-Performance-Split, Spieler-Statistik-Ranking innerhalb Team, Form-Tabelle letzte 5/10 Spiele, Torschützen-/Vorlagen-Liste mit Ranking, Radar-Chart Team-Stärken-Profil (D3.js), Verletzungs-Report-Übersicht Kader-Verfügbarkeit, Liga-weite-Vergleiche Durchschnittswerte, Export Statistik-Report, GSAP Ranking-Wechsel-Animationen - USE CASE: Fans analysieren Team-Performance tiefer als Standard-Tabellen bieten, Trainer-Teams bereiten Gegner-Analysen mit fundierten Statistiken vor.\n\n165. **#165** — erstelle einen Ticket-Event-Verfügbarkeits-Tracker - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Event-Kalender mit Verfügbarkeits-Status Ampel, Preis-Entwicklungs-Chart über Zeit bis Event (ApexCharts Line), Sitzplatz-Kategorie-Vergleich Preis-Leistung, Wunschzettel-Events mit Verfügbarkeits-Alarm, Venue-Karten-Ansicht Sitzplan-Mockup, Preisvergleich mehrerer Anbieter Mock, Event-Historie besuchte Veranstaltungen, Freunde-Gruppen-Koordination gemeinsamer Kauf-Mockup, Reise-Kombination Event plus Anreise/Unterkunft-Hinweis, Erinnerungs-Countdown bis Verkaufsstart, Export Event-Übersicht, GSAP Verfügbarkeits-Status-Animationen - USE CASE: Fans verpassen keinen Vorverkaufsstart begehrter Events durch zentrale Übersicht, Gruppen koordinieren gemeinsame Event-Besuche mit Budget- und Terminabgleich.\n\n166. **#166** — entwickle ein Wett-Quoten-Vergleichs-Dashboard edukativ - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Quoten-Vergleichstabelle mehrerer Mock-Anbieter, Implizite-Wahrscheinlichkeit-Rechner aus Quote, Value-Bet-Finder Differenz eigene Einschätzung vs Quote, Bankroll-Management-Rechner Einheiten-basiert, Wett-Historie-Tracker mit ROI-Berechnung (ApexCharts Line), Value-Score-Ranking verschiedener Wetten, Verantwortungsvolles-Spielen-Hinweise und Limits prominent, Quoten-Bewegungs-Historie vor Event, Statistik-Vergleich beider Teams als Entscheidungshilfe, Simulierte-Wett-Slip ohne echtes Geld, Export Wett-Journal für eigene Analyse, GSAP Quoten-Änderungs-Animationen - USE CASE: Nutzer lernen Quoten- und Wahrscheinlichkeitsanalyse verantwortungsbewusst mit klaren Limit-Hinweisen, Bildungsprojekte zeigen mathematische Grundlagen hinter Wettquoten anschaulich. WICHTIG: durchgängig Responsible-Gaming-Hinweise, keine echten Zahlungsfunktionen.\n\n167. **#167** — baue einen Sportartikel-Sammlung-Katalog mit Zustands-Bewertung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Katalog-Inventar Trikots/Schuhe/Memorabilia mit Foto-Platzhalter, Zustands-Bewertungs-Skala mit Beschreibung, Echtheits-Dokumentation Zertifikat-Upload-Mockup, Wertschätzungs-Historie über Zeit (ApexCharts Line), Kategorie-Filter nach Sportart/Ära/Spieler, Versicherungswert-Gesamtübersicht, Ausstellungs-Planer welche Stücke wo aufbewahrt, Tausch-/Verkaufs-Interesse-Markierung, Herkunfts-Dokumentation Provenienz-Notizen, Zustandsverschlechterung-Warnung bei Lagerungsbedingungen, Export Sammlungskatalog PDF, GSAP Katalog-Karten-Animationen - USE CASE: Memorabilia-Sammler dokumentieren Echtheit und Wert ihrer Sammlung professionell, Versicherungen erhalten strukturierte Nachweise für Wertsachen-Policen.\n\n168. **#168** — erstelle einen Turnier-Bracket-Generator interaktiv - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Automatische Bracket-Erstellung K.O.-System nach Teilnehmerzahl (D3.js Baumdiagramm), Gruppenphase-plus-K.O.-Hybrid-Modus, Ergebnis-Eintragung mit automatischem Weiterrücken, Setzlisten-Verwaltung nach Ranking, Live-Turnierbaum-Ansicht während Verlauf, Statistik-Dashboard Tore/Punkte pro Teilnehmer, Zeitplan-Generator mit Spielterminen, Freilos-Behandlung bei ungerader Teilnehmerzahl, Export Turnierbaum als Bild/PDF, Historische-Turniere-Archiv, Sieger-Ehrentafel, GSAP Bracket-Fortschritts-Animationen - USE CASE: Vereine und Hobby-Ligen organisieren Turniere ohne teure Turnier-Software, Event-Organisatoren visualisieren Turnierverlauf für Teilnehmer und Zuschauer live.\n\n169. **#169** — entwickle einen Athleten-Karriere-Verlauf-Visualizer - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karriere-Zeitleiste Vereine/Transfers/Meilensteine (D3.js Timeline), Leistungsentwicklung über Karriere Kennzahl pro Saison (ApexCharts Line), Vergleich mehrerer Athleten Side-by-Side, Verletzungshistorie-Übersicht mit Ausfallzeiten, Titel-/Auszeichnungs-Sammlung als Ehrentafel, Marktwert-Entwicklung-Mockup über Karriere, Vereins-Wechsel-Karte geografisch (D3.js), Statistik-Highlights beste Saison hervorgehoben, Altersvergleich Peak-Performance-Alter, Karriere-Phasen-Kennzeichnung Aufstieg/Prime/Ausklang, Export Karriere-Profil als PDF, GSAP Zeitleisten-Scroll-Animationen - USE CASE: Sportjournalisten recherchieren Karriereverläufe visuell aufbereitet für Artikel, Scouting-Teams vergleichen Karriereentwicklungen mehrerer Talente strukturiert.\n\n170. **#170** — baue eine Community-Sammler-Tausch-Börse Mockup - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Angebots-/Gesuchs-Liste mit Foto-Platzhalter und Zustand, Matching-Algorithmus-Mockup passende Tauschpartner vorschlagen, Community-Profil mit Sammlungsschwerpunkt, Bewertungs-System für Tauschpartner nach Transaktion, Tausch-Verlauf-Historie abgeschlossene Trades, Kategorie-Browser nach Sammelgebiet, Wunschlisten-Abgleich automatische Benachrichtigung bei Treffer, Fairness-Rechner geschätzter Wertevergleich beider Seiten, Community-Statistik aktive Nutzer/Trades gesamt (ApexCharts), Nachrichtenfunktion-Mockup zwischen Tauschpartnern, Melde-Funktion bei Problemen, GSAP Match-Gefunden-Animationen - USE CASE: Sammler-Communities finden passende Tauschpartner für ihre Sammlung strukturiert, Vereine bieten Mitgliedern eine faire Plattform für Sammelobjekt-Tausch ohne Geldfluss.\n\n## Kategorie 8: MEDIA, GAMES & ENTERTAINMENT\n\n171. **#171** — erstelle einen interaktiven Roman-E-Book-Reader mit Kapitel-Navigation - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Kapitel-Sidebar mit Lesefortschritt pro Kapitel, Schriftgröße-/Zeilenabstand-Regler live, Lesemodus Hell/Dunkel/Sepia, Lesezeichen-Funktion mit Notizen, Lesefortschritt-Gesamtanzeige Prozent und geschätzte Restzeit (ApexCharts Radial), Kapitel-Zusammenfassungen einklappbar, Text-Suche mit Ergebnis-Sprung, Zitat-Sammlung markierte Textstellen, Statistik-Dashboard Lesegeschwindigkeit/Sessions, Automatisches-Scroll-Modus einstellbare Geschwindigkeit, Export Notizen und Zitate, GSAP Seitenübergangs-Animationen - USE CASE: Autoren präsentieren ihre Werke in einem ansprechenden Eigen-Reader ohne Plattform-Abhängigkeit, Leser verfolgen Fortschritt und sammeln Lieblingszitate strukturiert.\n\n172. **#172** — entwickle einen Browser-Game-Arcade-Hub mit Highscore-System - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Spiele-Galerie-Grid mit Vorschaubildern und Kategorien, Highscore-Tabelle pro Spiel lokal gespeichert, Spieler-Profil mit Gesamt-Statistik über alle Spiele, Erfolge-/Achievement-System mit Freischalt-Bedingungen, Tages-Herausforderung ein Spiel mit Sonderregeln, Spielzeit-Tracker pro Spiel, Favoriten-Sammlung meistgespielte Spiele, Schwierigkeitsgrad-Auswahl pro Spiel, Tutorial-Overlay für Neueinsteiger pro Spiel, Sound-An-Aus-Umschalter global, Fortschritts-Dashboard Achievements gesamt (ApexCharts Radial), GSAP Spiel-Start-Übergangs-Animationen - USE CASE: Portale bündeln mehrere kleine Browser-Spiele mit einheitlichem Fortschritts-Tracking, Nutzer verfolgen persönliche Bestleistungen über eine wachsende Spielesammlung hinweg.\n\n173. **#173** — programmiere einen Schach-Trainer mit mehreren Engine-Stärken - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Schachbrett interaktiv mit Zug-Validierung, Engine-Stärke-Auswahl Anfänger bis Fortgeschritten, Eröffnungs-Datenbank mit Namen und Zugfolgen, Taktik-Trainer tägliche Rätsel mit Bewertungssystem (ApexCharts Elo-Verlauf), Partie-Analyse nach Spielende Fehler markiert, Zug-Historie mit Notation und Rücknahme-Funktion, Eröffnungs-Repertoire-Builder eigene Linien speichern, Endspiel-Übungs-Modus typische Stellungen, Zeitkontrolle-Optionen Blitz/Rapid/Klassisch, Spielstärke-Schätzung basierend auf Partien, Export Partie als PGN, GSAP Zug-Animationen auf dem Brett - USE CASE: Schachspieler trainieren gegen verschieden starke Gegner passend zum eigenen Niveau, Vereine bieten Mitgliedern taktisches Training mit nachvollziehbarem Fortschritt.\n\n174. **#174** — baue einen Comic-Webtoon-Reader mit Panel-Zoom - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertikaler-Scroll-Lesemodus für Webtoons, Panel-für-Panel-Modus mit Zoom bei Tap, Kapitel-Übersicht mit Cover-Vorschau, Lesezeichen pro Kapitel und Panel-Position, Helligkeits-/Kontrast-Regler für Leseumgebung, Kommentar-Bereich-Mockup pro Kapitel, Serien-Bibliothek mit Fortsetzungs-Status abgeschlossen/laufend, Lese-Historie zuletzt gelesene Serien, Offline-Download-Kennzeichnung pro Kapitel, Vollbild-Lesemodus ohne Ablenkung, Auto-Scroll-Geschwindigkeitsregler, GSAP Panel-Übergangs-Animationen - USE CASE: Unabhängige Comic-Autoren veröffentlichen eigene Werke ohne Plattform-Provisionen, Leser genießen ein natives Lese-Erlebnis speziell für vertikale Comic-Formate.\n\n175. **#175** — erstelle einen Musik-Playlist & Stimmungs-Visualizer - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Playlist-Verwaltung mit Drag&Drop-Sortierung, Waveform-Visualisierung während Wiedergabe (D3.js Canvas), Stimmungs-Tagging pro Song energetisch/ruhig/melancholisch, Stimmungs-basierte-Playlist-Generierung automatisch, Hörhistorie-Statistik meistgehörte Songs/Genres (ApexCharts Balken), Beat-synchronisierte-Animationen GSAP zum Takt, Lyrics-Anzeige-Platzhalter synchronisiert, Genre-Verteilungs-Donut eigene Bibliothek, Höralbum-Fortschritt bei vollständigem Album, Cross-Fade-Einstellung zwischen Songs, Export Playlist als M3U, GSAP Album-Cover-Rotations-Animationen - USE CASE: Musikliebhaber organisieren ihre Sammlung nach Stimmung statt nur nach Genre, Content-Ersteller visualisieren Audio ansprechend für Präsentationen oder Streams.\n\n176. **#176** — entwickle einen Quiz-Show-Baukasten mit Buzzer-Simulation - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Fragen-Editor mit Kategorien und Punktwerten Jeopardy-Style, Buzzer-Simulation-Mockup wer zuerst klickt bekommt Zug, Punktestand-Anzeige Live pro Team/Spieler, Zeitlimit-Timer pro Frage mit visuellem Countdown, Fragenkatalog-Import/Export als JSON, Moderatoren-Ansicht separat von Spieler-Ansicht, Soundeffekte-Mockup richtig/falsch, Runden-Struktur Vorrunde/Finale konfigurierbar, Joker-System 50/50 oder Publikumsjoker-Mockup, Highscore-Liste vergangener Runden, Vollbild-Präsentations-Modus für Beamer, GSAP Punktestand-Update-Animationen - USE CASE: Lehrkräfte und Trainer gestalten interaktive Wissensabfragen für Gruppen unterhaltsam, Event-Organisatoren nutzen die App als Grundlage für Quiz-Abende ohne Zusatz-Hardware.\n\n177. **#177** — programmiere eine Kurzgeschichten-Gedicht-Sammlung mit Stimmungs-Tagging - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Text-Bibliothek kategorisiert nach Genre und Stimmung, Lese-Ansicht mit typografisch hochwertiger Darstellung, Stimmungs-Filter melancholisch/hoffnungsvoll/humorvoll, Autoren-Profile bei Sammel-Anthologien, Lieblings-Sammlung persönliche Favoriten, Zufalls-Text-Funktion Überraschung des Tages, Lesezeit-Anzeige pro Text, Text-Statistik Wortanzahl/Lesezeit-Verteilung (ApexCharts), Themen-Wolke häufige Motive (D3.js Word Cloud), Kommentar-/Reflexions-Notizfeld pro Text privat, Export einzelner Texte als PDF, GSAP Text-Einblend-Animationen - USE CASE: Autoren präsentieren eine kuratierte Sammlung ihrer Kurztexte ansprechend, Leser entdecken Texte passend zu ihrer aktuellen Stimmung gezielt.\n\n178. **#178** — baue eine Retro-Arcade-Casino-Demo Play-Money - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Blackjack- und Roulette-Simulation mit virtueller Spielwährung, Deutliche Play-Money-Kennzeichnung durchgängig sichtbar, Responsible-Gaming-Hinweise und Selbsttest prominent verlinkt, Spielverlauf-Statistik Gewinn/Verlust-Kurve (ApexCharts Line) nur zu Demonstrationszwecken, Retro-Pixel-Art-Design-Ästhetik, Regel-Erklärungen für Einsteiger pro Spiel, Einsatzlimit-Simulator zeigt Wirkung von Limits, Wahrscheinlichkeits-Erklär-Panel Hausvorteil transparent dargestellt, Sound-Effekte-Mockup, Sitzungs-Zeit-Tracker mit Erinnerung Pause einzulegen, Kein-Echtgeld-Hinweis in jedem Screen, GSAP Karten-/Rad-Animationen - USE CASE: Bildungsprojekte erklären Casino-Spielmechaniken und Hausvorteil transparent ohne echtes Geld, Entwickler demonstrieren Spiel-UI-Konzepte in Portfolios verantwortungsbewusst gekennzeichnet.\n\n179. **#179** — erstelle einen Podcast-Hörbuch-Player mit Kapitel-Marken - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Wiedergabe-Steuerung mit Kapitel-Sprungmarken, Geschwindigkeitsregler 0.5x bis 3x, Schlaf-Timer automatisches Stoppen, Wiedergabe-Historie mit Fortschritt pro Episode, Episoden-Bibliothek mit Cover und Beschreibung, Warteschlange-Verwaltung nächste Episoden, Transkript-Anzeige-Platzhalter synchron scrollend, Lesezeichen innerhalb einer Episode setzen, Hörstatistik Gesamtzeit/Episoden-Anzahl (ApexCharts), Offline-Download-Kennzeichnung, Cross-Device-Fortschritt-Sync-Mockup, GSAP Wiedergabe-Steuerungs-Animationen - USE CASE: Podcast-Produzenten bieten Hörern eine eigene Player-Erfahrung ohne Plattform-Abhängigkeit, Hörbuch-Verlage integrieren Kapitel-Navigation für lange Werke nutzerfreundlich.\n\n180. **#180** — entwickle eine Fan-Community-Sammlung-Showcase digitales Sammelalbum - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Digitales Sammelalbum mit Slot-Raster für Sticker/Karten, Fortschritts-Anzeige pro Kategorie und Gesamt (ApexCharts Radial), Sammel-Historie wann welches Item hinzugefügt, Doppelten-Marker für Tauschbörse, Community-Ranking vollständigste Sammlungen Mock, Themen-Alben mehrere parallele Sammlungen, Freischalt-Animationen bei neuem Item, Statistik-Dashboard Sammelrate über Zeit, Wunschliste fehlende Items hervorgehoben, Export Sammelstatus als Bild zum Teilen, Jubiläums-Sonderseiten für Meilensteine, GSAP Sticker-Enthüllungs-Animationen - USE CASE: Fan-Communities digitalisieren klassische Sammelalben-Erfahrung für Vereine oder Serien, Marken binden Fans durch spielerische Sammel-Mechaniken ohne Papier-Alben.\n\n## Kategorie 9: BUSINESS- & PERSÖNLICHE PRODUKTIVITÄTS-TOOLS\n\n181. **#181** — erstelle einen interaktiven Lebenslauf-Portfolio-Builder mit Export - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Sektions-Editor Werdegang/Ausbildung/Skills per Drag&Drop sortierbar, Mehrere-Vorlagen-Design-Auswahl klassisch/modern/kreativ, Skill-Level-Visualisierung Balken oder Sterne (ApexCharts), Live-Vorschau während Bearbeitung Split-Screen, Zeitleisten-Ansicht Karriereverlauf (D3.js), Mehrsprachigkeits-Umschalter DE/EN Lebenslauf, ATS-Freundlichkeits-Check einfache Struktur-Warnung, PDF-Export druckfertig, Foto-Upload-Platzhalter mit Zuschnitt, Referenzen-Sektion optional ein-/ausblendbar, Versionsverwaltung mehrere Lebenslauf-Varianten je Bewerbung, GSAP Sektions-Einblend-Animationen - USE CASE: Bewerber erstellen professionelle Lebensläufe ohne Word-Formatierungs-Frust, Karriereberater unterstützen Klienten mit einem wiederverwendbaren Tool für mehrere Bewerbungsvarianten.\n\n182. **#182** — entwickle einen Bewerbungs-Tracker mit Status-Pipeline Kanban - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kanban-Board Beworben/Interview/Angebot/Abgelehnt Drag&Drop, Bewerbungs-Karten mit Firma/Position/Datum/Notizen, Erinnerungs-Funktion Follow-Up-Termine, Erfolgsquote-Dashboard Conversion pro Stage (ApexCharts Funnel), Gehaltsverhandlungs-Notizen pro Bewerbung, Kontaktperson-Verwaltung pro Firma, Dokumenten-Anhang Anschreiben/Lebenslauf-Version pro Bewerbung, Zeitstrahl-Ansicht aller Bewerbungsaktivitäten, Statistik nach Branche/Quelle woher Bewerbung kam, Interview-Vorbereitungs-Checkliste pro Termin, Export Bewerbungsübersicht als Report, GSAP Karten-Drag-Animationen - USE CASE: Jobsuchende behalten bei parallelen Bewerbungen den Überblick statt Excel-Chaos, Karriereberatungen zeigen Klienten transparent ihre Bewerbungs-Erfolgsquote nach Phase.\n\n183. **#183** — programmiere einen persönlichen Haushaltsbuch-Planer mit Kategorien-Analyse - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Einnahmen-/Ausgaben-Erfassung mit Kategorien, Monatsvergleich-Chart über 12 Monate (ApexCharts Line), 50/30/20-Regel-Visualisierung, Wiederkehrende-Ausgaben-Verwaltung Abos/Miete automatisch, Sparquote-Tracker mit Zielvorgabe, Kategorien-Donut Ausgabenverteilung, Jahresrückblick-Generator automatisch, Budget-Warnung bei Kategorie-Überschreitung, CSV-Import von Kontoauszügen Mock-Format, Haushaltsbuch-Vergleich mehrere Jahre nebeneinander, Export Steuerrelevante-Ausgaben-Liste, GSAP Kategorien-Balken-Animationen - USE CASE: Privathaushalte gewinnen Kontrolle über Ausgaben ohne Banking-App-Abo, Paare führen ein gemeinsames transparentes Haushaltsbuch mit klarer Kategorienübersicht.\n\n184. **#184** — baue eine Zeugnis-Zertifikats-Sammlung digitaler Ordner mit Ablauf-Erinnerung - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Dokumenten-Kategorien Zeugnisse/Zertifikate/Lizenzen mit Upload-Platzhalter, Ablaufdatum-Tracking mit Warnfarbe bei Nähe zum Verfall, Erinnerungs-Kalender Weiterbildungspflichten, Kategorisierung nach Gültigkeitsbereich Fachbereich, Verlaufs-Historie erneuerte Zertifikate chronologisch, Volltextsuche über Dokumenttitel und Tags, Statistik-Dashboard gültig/bald-ablaufend/abgelaufen (ApexCharts Donut), Verknüpfung zu Anbieter für Erneuerung, Export Zertifikats-Übersicht für Bewerbungen, Sicherheits-Hinweis zur Verschlüsselung sensibler Dokumente, Mehrere-Personen-Verwaltung Familie, GSAP Ablauf-Warn-Animationen - USE CASE: Berufstätige mit Pflichtfortbildungen behalten Ablauffristen im Blick ohne Excel-Liste, Personalabteilungen dokumentieren Mitarbeiter-Qualifikationen strukturiert und fristgerecht.\n\n185. **#185** — erstelle einen Karriereweg-Planer mit Gehalts-Benchmark - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Karrierepfad-Visualisierung mögliche nächste Positionen (D3.js Baumdiagramm), Gehalts-Benchmark-Vergleich nach Position/Branche/Region (ApexCharts Balken), Skill-Gap-Analyse aktuelle vs Zielposition-Anforderungen, Weiterbildungs-Empfehlungen zur Erreichung des Ziels, Zeithorizont-Rechner geschätzte Jahre bis Zielposition, Netzwerk-Kontakte-Tracker relevante Personen pro Zielposition, Branchenwechsel-Impact-Simulator, Verhandlungs-Vorbereitung Gehaltsforderung-Rechner, Karriere-Meilenstein-Tracker erreichte Etappen, Vergleich mehrerer Karrierepfade Side-by-Side, Export Karriereplan als PDF, GSAP Pfad-Fortschritts-Animationen - USE CASE: Berufstätige planen langfristige Karriereschritte mit realistischen Gehaltserwartungen, Personalentwicklungs-Teams unterstützen Mitarbeiter mit strukturierten Entwicklungspfaden.\n\n186. **#186** — entwickle einen Vertrags-Dokumenten-Vault mit Ablauf-Kalender - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Vertrags-Kategorien Miete/Versicherung/Abo/Arbeitsvertrag mit Upload-Platzhalter, Kündigungsfristen-Kalender mit automatischer Erinnerung, Vertragswert-Übersicht monatliche Gesamtbelastung (ApexCharts Donut), Verlängerungs-Status automatisch/manuell gekennzeichnet, Kündigungsfristen-Rechner rückwärts vom Ablaufdatum, Dokumenten-Volltextsuche über Vertragsnamen, Vertragspartner-Verwaltung mit Kontaktdaten, Preishistorie bei Vertragsänderungen, Sicherheits-Hinweis Verschlüsselung sensibler Dokumente, Export Vertragsübersicht als Excel-kompatibles CSV, Erinnerungs-Vorlaufzeit individuell einstellbar, GSAP Ablauf-Countdown-Animationen - USE CASE: Privatpersonen verpassen keine Kündigungsfristen mehr für Abos und Verträge, Kleinunternehmer behalten alle Geschäftsverträge mit Fristen zentral im Blick.\n\n187. **#187** — baue einen Meeting-Notizen & Aufgaben-Tracker mit Team-Zuweisung - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Meeting-Vorlagen mit Agenda-Struktur, Live-Notizen-Editor während Meeting, Automatische-Aufgaben-Extraktion aus Notizen zu Todo-Liste, Verantwortlichkeits-Zuweisung pro Aufgabe mit Fälligkeitsdatum, Meeting-Historie durchsuchbar nach Thema, Follow-Up-Status-Tracking offene Punkte aus letztem Meeting, Anwesenheits-Liste pro Meeting, Entscheidungs-Log wichtige Beschlüsse hervorgehoben, Aufgaben-Fortschritts-Dashboard Team-weit (ApexCharts Kanban-Style), Wiederkehrende-Meeting-Vorlagen, Export Meeting-Protokoll als PDF, GSAP Aufgaben-Erstellungs-Animationen - USE CASE: Teams dokumentieren Meetings strukturiert statt in verstreuten Notiz-Apps, Projektleiter verfolgen aus Meetings entstandene Aufgaben lückenlos bis zur Erledigung.\n\n188. **#188** — erstelle einen Freelancer-Rechnungs & Angebots-Generator - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Rechnungs-Editor mit Positionen/Mengen/Preisen automatischer Summenberechnung, Angebots-zu-Rechnung-Konvertierung, Kunden-Datenbank mit Kontaktdaten, Umsatzsteuer-Berechnung Kleinunternehmerregelung-Option, Zahlungsstatus-Tracking offen/bezahlt/überfällig, Umsatz-Dashboard nach Monat/Kunde (ApexCharts Balken), Mahnwesen-Vorlagen bei Zahlungsverzug, Wiederkehrende-Rechnungen für Abo-Kunden, Ausgaben-Erfassung für Gewinnermittlung, Steuervorauszahlungs-Schätzer, Export Rechnungen als PDF mit eigenem Branding, GSAP Rechnungs-Erstellungs-Animationen - USE CASE: Freiberufler erstellen professionelle Rechnungen ohne teure Buchhaltungssoftware, Kleinunternehmer behalten Umsatz und offene Forderungen übersichtlich im Blick.\n\n189. **#189** — entwickle einen persönlichen OKR-Ziel-Tracker mit Reflexions-Journal - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Ziel-Hierarchie Jahres-/Quartals-/Wochenziele verknüpft (D3.js), Fortschritts-Tracking pro Key Result mit Prozentanzeige, Wöchentliches-Reflexions-Journal was lief gut/schlecht, Gewohnheits-Tracker tägliche Habits mit Streak-Anzeige (ApexCharts Kalender-Heatmap), Zielkategorien Beruf/Gesundheit/Beziehungen/Finanzen, Motivations-Zitate-Rotation, Rückblick-Generator Monats-/Jahresrückblick automatisch, Zielkonflikt-Erkennung wenn Ziele sich zeitlich überschneiden, Erinnerungs-System Check-in-Rhythmus wöchentlich, Fortschritts-Visualisierung Gesamtübersicht aller Ziele, Export Journal als PDF, GSAP Fortschritts-Ring-Animationen - USE CASE: Menschen mit Selbstoptimierungs-Anspruch verfolgen persönliche Ziele strukturiert wie in Unternehmen, Coaches nutzen das Tool als Vorlage für Klienten-Zielvereinbarungen.\n\n190. **#190** — baue ein Networking-Kontakt-CRM für Privatpersonen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Kontakt-Datenbank mit Kategorien beruflich/privat/mentoren, Letzter-Kontakt-Tracker mit Erinnerung bei zu langer Funkstille, Beziehungs-Stärke-Score manuell oder aus Interaktionshäufigkeit, Notizen pro Kontakt Gesprächsthemen/Interessen, Netzwerk-Graph-Visualisierung Verbindungen zwischen Kontakten (D3.js), Ereignis-Log Treffen/Anrufe/Nachrichten chronologisch, Geburtstags-/Jubiläums-Erinnerungen, Gegenseitige-Gefallen-Tracker wer schuldet wem was, Tag-System für Interessen/Skills der Kontakte, Kontakt-Empfehlungs-Score wen sollte ich als nächstes kontaktieren, Export Kontaktliste als vCard-kompatibles CSV, GSAP Netzwerk-Graph-Animationen - USE CASE: Networking-affine Menschen pflegen Beziehungen bewusst statt sie einschlafen zu lassen, Selbständige verwalten ihr berufliches Netzwerk ohne teures CRM-Tool.\n\n## Kategorie 10: MULTI-APP-PORTALE, DASHBOARDS & DESKTOP-HUBS\n\n191. **#191** — erstelle ein Personalisierbares Dashboard-Baukasten Drag&Drop-Widgets - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Widget-Bibliothek Chart/Liste/Kalender/Notiz frei platzierbar, Drag&Drop-Grid-Layout mit Größenänderung, Widget-Konfiguration pro Instanz eigene Datenquelle-Mock, Mehrere-Dashboard-Profile für unterschiedliche Zwecke, Theme-Editor Farben/Schriftart anpassbar, Layout-Vorlagen vordefiniert für Schnellstart, Widget-Verbindungs-Logik ein Widget filtert ein anderes, Export/Import Dashboard-Konfiguration als JSON, Vollbild-Präsentations-Modus pro Dashboard, Auto-Refresh-Intervall pro Widget einstellbar, Responsive-Verhalten-Vorschau Mobile/Tablet/Desktop, GSAP Widget-Platzierungs-Animationen - USE CASE: Teams bauen sich individuelle Übersichts-Dashboards ohne Entwickler-Ressourcen, Power-User konsolidieren verschiedene Datenquellen in einer persönlichen Ansicht.\n\n192. **#192** — entwickle einen Windows-Desktop-Style-App-Launcher mit Fenster-Management - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Desktop-Icon-Grid mit Kategorien-Ordnern, Taskleiste mit offenen Fenstern und Vorschau, Draggable-und-Resizable-Fenster mehrere gleichzeitig offen, Startmenü mit Suchfunktion über alle Apps, Fenster-Snap-Funktion an Bildschirmränder, Minimieren/Maximieren/Schließen pro Fenster, Desktop-Widgets Uhr/Wetter-Mockup, Rechtsklick-Kontextmenü auf Icons, Mehrere-virtuelle-Desktops-Umschalter, Fenster-Stapel-Verwaltung Z-Index korrekt, Anpassbares-Hintergrundbild, GSAP Fenster-Öffnen-Schließen-Animationen - USE CASE: Portale präsentieren viele Einzel-Apps in einer vertrauten Desktop-Metapher statt einer langen Linkliste, Interne Tool-Sammlungen wirken wie eine zusammenhängende Softwaresuite statt loser HTML-Dateien.\n\n193. **#193** — programmiere ein paywall-geschütztes Multi-App-Portal-Cockpit - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Login-Screen mit Zugangscode-Eingabe UND deutlichem Hinweis dass echte Validierung serverseitig erfolgen muss, Gastmodus mit eingeschränktem Funktionsumfang, App-Sidebar mit Icon-Liste mehrerer eingebundener Tools, Iframe-Hauptbereich mit Lade-Status-Anzeige, Verbindungsstatus-Indikator pro eingebettete App, Nutzungsstatistik welche Apps wie oft geöffnet (ApexCharts Balken), Zugriffsstufen-Konzept Basic/Premium als UI-Mockup, Onboarding-Tour für Erstnutzer, Feedback-Formular pro App, Favoriten-Sortierung häufig genutzter Apps nach oben, Abmelde-Funktion mit Sitzungs-Timeout-Hinweis, GSAP Sidebar-Wechsel-Animationen - USE CASE: Anbieter bündeln mehrere kostenpflichtige Tools hinter einem gemeinsamen Zugang. WICHTIG: dieser Prompt ist ausdrücklich nur für die UI gedacht — echte Zahlungs-/Zugangsvalidierung gehört serverseitig, niemals als reiner Client-Check umgesetzt (siehe SECURITY-FINDINGS.md für ein Negativbeispiel aus dem eigenen Stack).\n\n194. **#194** — baue eine zentrale Such & Quick-Link-Übersicht für Tool-Sammlungen - HTML - TECH: Bulma+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Live-Suchfeld filtert Kategorien und Einzeltools sofort, Kategorie-Kacheln mit Farbcodierung und Statistik-Badges, Kürzlich-genutzt-Verlauf, Meistgenutzt-Ranking basierend auf Klicks (ApexCharts Balken), Tag-basierte-Filterung zusätzlich zu Kategorien, Neu-hinzugefügt-Kennzeichnung für frische Einträge, Kaputte-Links-Warnindikator falls Ziel nicht erreichbar Mock, Vorschau-Tooltip bei Hover über Eintrag, Eigene-Sammlungen anlegen kuratierte Unterlisten, Keyboard-Navigation Pfeiltasten und Enter, Statistik-Dashboard Gesamtanzahl Tools pro Kategorie, GSAP Kachel-Such-Filter-Animationen - USE CASE: Große Archiv-Sammlungen mit hunderten Einzel-Apps werden durch Live-Suche statt endlosem Scrollen erschlossen, Teams finden intern gebaute Tools schnell wieder statt sie zu vergessen.\n\n195. **#195** — erstelle ein rollenbasiertes Team-Portal mit Berechtigungs-Stufen - HTML - TECH: Skeleton+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Rollen-Auswahl-Mockup Guest/Member/Admin mit unterschiedlicher Sidebar, Berechtigungs-Matrix-Ansicht wer darf was (D3.js Tabelle), Admin-Bereich Nutzerverwaltung-Mockup, Aktivitäts-Log wer hat wann was geöffnet, Rollenwechsel-Simulator zum Testen verschiedener Ansichten, Zugriffs-angefragt-Workflow Mock Freigabe-Prozess, Team-Verzeichnis mit Rollen-Kennzeichnung, Benachrichtigungs-Center rollenspezifische Hinweise, Onboarding-Checkliste je nach Rolle unterschiedlich, Sicherheits-Hinweis-Panel Berechtigungskonzept erklärt, Export Berechtigungs-Übersicht für Dokumentation, GSAP Rollenwechsel-Übergangs-Animationen - USE CASE: Interne Tool-Portale demonstrieren ein rollenbasiertes Zugriffskonzept vor echter Backend-Implementierung, Teams dokumentieren Berechtigungsstrukturen visuell nachvollziehbar für Audits.\n\n196. **#196** — entwickle ein Iframe-Aggregator-Cockpit für externe Web-Apps - HTML - TECH: Bootstrap5+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: Multi-Tab-Iframe-Ansicht mehrere externe Tools gleichzeitig eingebettet, Tab-Leiste mit Favicon und Titel pro eingebetteter App, Split-Screen-Modus zwei Apps nebeneinander, Lade-Fehler-Erkennung mit Fallback-Hinweis bei blockiertem Embedding, Quick-Switch-Tastenkombination zwischen Tabs, Verlaufs-Liste zuletzt geöffneter externer Apps, Notiz-Overlay um Beobachtungen während Nutzung festzuhalten, Vollbild-Fokus-Modus einzelne App, Bookmark-Leiste favorisierte externe Tools, Verbindungsqualitäts-Indikator pro eingebetteter App Mock, Export Sitzungs-Notizen, GSAP Tab-Wechsel-Animationen - USE CASE: Nutzer bündeln verstreute externe Web-Tools in einer gemeinsamen Arbeitsoberfläche, Analysten vergleichen mehrere Datenquellen nebeneinander ohne Tab-Chaos im Browser.\n\n197. **#197** — baue eine Bookmark & Tool-Bibliothek mit Tag-basierter Suche - HTML - TECH: Tailwind+Alpine.js+ApexCharts+D3.js+GSAP+IndexedDB - FEATURES: Bookmark-Erfassung mit Titel/URL/Beschreibung/Tags, Tag-Cloud-Ansicht Größe nach Häufigkeit (D3.js), Multi-Tag-Filter kombinierbar UND/ODER-Logik, Ordner-Struktur zusätzlich zu Tags, Duplikat-Erkennung ähnliche URLs, Tote-Links-Checker-Mockup periodische Prüfung, Import aus Browser-Bookmark-Export-Datei, Nutzungsstatistik meistgeklickte Bookmarks (ApexCharts Balken), Team-Sharing-Mockup gemeinsame Bibliothek, Schnellzugriffs-Leiste Top-10-Favoriten, Suchverlauf für wiederkehrende Suchen, Export Bibliothek als HTML-Bookmark-Datei, GSAP Tag-Cloud-Animationen - USE CASE: Menschen mit hunderten Lesezeichen organisieren diese endlich durchsuchbar statt in unübersichtlichen Browser-Ordnern, Teams teilen eine kuratierte Tool- und Ressourcen-Bibliothek zentral.\n\n198. **#198** — erstelle ein Status & Health-Monitor-Dashboard für mehrere Sub-Apps - HTML - TECH: Materialize+Alpine.js+ApexCharts+D3.js+GSAP+LocalStorage - FEATURES: App-Liste mit Status-Ampel online/langsam/offline Mock-Simulation, Uptime-Historie-Chart pro App letzte 30 Tage (ApexCharts Balken), Antwortzeit-Trend pro App (D3.js Sparkline), Incident-Log vergangene Ausfälle mit Dauer, Abhängigkeits-Graph welche App braucht welche andere (D3.js), Alert-Konfiguration-Mockup bei Statusänderung, Wartungsfenster-Ankündigungs-Banner, Gesamt-Gesundheits-Score aller Apps kombiniert (ApexCharts Gauge), Verantwortlichkeits-Zuweisung pro App wer ist zuständig, Statusseite-Ansicht öffentlich vs intern, Export Incident-Report, GSAP Status-Wechsel-Puls-Animationen - USE CASE: Betreiber großer HTML-App-Sammlungen behalten Überblick welche Tools funktionieren, Teams kommunizieren Ausfälle transparent an Nutzer über eine zentrale Statusseite.\n\n199. **#199** — entwickle eine White-Label-Portal-Vorlage mit Theme-Switcher - 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